A Comparison of Educational Statistics and Data Mining Approaches to Identify Characteristics That Impact Online Learning

ERIC Educational Resources Information Center

Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen

2015-01-01

Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…

HIV-infected persons with bipolar disorder are less aware of memory deficits than HIV-infected persons without bipolar disorder.

PubMed

Blackstone, Kaitlin; Tobin, Alexis; Posada, Carolina; Gouaux, Ben; Grant, Igor; Moore, David J; The Hiv Neurobehavioral Research Program Hnrp

2012-01-01

Episodic memory deficits are common in HIV infection and bipolar disorder, but patient insight into such deficits remains unclear. Thirty-four HIV-infected individuals without bipolar disorder (HIV+/BD-) and 47 HIV+ individuals with comorbid bipolar disorder (HIV+/BD+) were administered the Hopkins Verbal Learning Test-Revised and the Brief Visuospatial Memory Test-Revised to examine objective learning/memory functioning. Subjective memory complaints were assessed via the memory subscale of the Patient's Assessment of Own Functioning Inventory. HIV+/BD+ individuals performed poorer on tests of visual learning and visual/verbal recall than did HIV+/BD- participants (ps < .05). Memory complaints only predicted verbal learning (at a trend level, p = .10) and recall (p = .03) among the HIV+/BD- individuals. Memory complaints were not associated with memory performance within the HIV+/BD+ group (ps > .10). Memory complaints were associated with depressive symptoms in both groups (ps < 0.05). These complaints were also predictive of immunosuppression, higher unemployment, and greater dependence on activities of daily living among the HIV+/BD+ individuals (ps < .05). Awareness of memory abilities was particularly poor among HIV+/BD+ individuals (i.e., objective learning/memory did not correspond to reported complaints), which has important implications for the capacity of these individuals to engage in error-monitoring and compensatory strategies in daily life. Memory complaints are associated with depressed mood regardless of group membership. Among HIV+/BD+ individuals, these complaints may also signify worse HIV disease status and problems with everyday functioning. Clinicians and researchers should be cognizant of what these complaints indicate in order to lead treatment most effectively; use of objective neurocognitive assessments may still be warranted when working with these populations.

Age-related impairments in active learning and strategic visual exploration.

PubMed

Brandstatt, Kelly L; Voss, Joel L

2014-01-01

Old age could impair memory by disrupting learning strategies used by younger individuals. We tested this possibility by manipulating the ability to use visual-exploration strategies during learning. Subjects controlled visual exploration during active learning, thus permitting the use of strategies, whereas strategies were limited during passive learning via predetermined exploration patterns. Performance on tests of object recognition and object-location recall was matched for younger and older subjects for objects studied passively, when learning strategies were restricted. Active learning improved object recognition similarly for younger and older subjects. However, active learning improved object-location recall for younger subjects, but not older subjects. Exploration patterns were used to identify a learning strategy involving repeat viewing. Older subjects used this strategy less frequently and it provided less memory benefit compared to younger subjects. In previous experiments, we linked hippocampal-prefrontal co-activation to improvements in object-location recall from active learning and to the exploration strategy. Collectively, these findings suggest that age-related memory problems result partly from impaired strategies during learning, potentially due to reduced hippocampal-prefrontal co-engagement.

The company objects keep: Linking referents together during cross-situational word learning.

PubMed

Zettersten, Martin; Wojcik, Erica; Benitez, Viridiana L; Saffran, Jenny

2018-04-01

Learning the meanings of words involves not only linking individual words to referents but also building a network of connections among entities in the world, concepts, and words. Previous studies reveal that infants and adults track the statistical co-occurrence of labels and objects across multiple ambiguous training instances to learn words. However, it is less clear whether, given distributional or attentional cues, learners also encode associations amongst the novel objects. We investigated the consequences of two types of cues that highlighted object-object links in a cross-situational word learning task: distributional structure - how frequently the referents of novel words occurred together - and visual context - whether the referents were seen on matching backgrounds. Across three experiments, we found that in addition to learning novel words, adults formed connections between frequently co-occurring objects. These findings indicate that learners exploit statistical regularities to form multiple types of associations during word learning.

Grounding statistical learning in context: The effects of learning and retrieval contexts on cross-situational word learning.

PubMed

Chen, Chi-Hsin; Yu, Chen

2017-06-01

Natural language environments usually provide structured contexts for learning. This study examined the effects of semantically themed contexts-in both learning and retrieval phases-on statistical word learning. Results from 2 experiments consistently showed that participants had higher performance in semantically themed learning contexts. In contrast, themed retrieval contexts did not affect performance. Our work suggests that word learners are sensitive to statistical regularities not just at the level of individual word-object co-occurrences but also at another level containing a whole network of associations among objects and their properties.

Learning viewpoint invariant perceptual representations from cluttered images.

PubMed

Spratling, Michael W

2005-05-01

In order to perform object recognition, it is necessary to form perceptual representations that are sufficiently specific to distinguish between objects, but that are also sufficiently flexible to generalize across changes in location, rotation, and scale. A standard method for learning perceptual representations that are invariant to viewpoint is to form temporal associations across image sequences showing object transformations. However, this method requires that individual stimuli be presented in isolation and is therefore unlikely to succeed in real-world applications where multiple objects can co-occur in the visual input. This paper proposes a simple modification to the learning method that can overcome this limitation and results in more robust learning of invariant representations.

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

PubMed Central

Mack, Michael L.; Love, Bradley C.; Preston, Alison R.

2016-01-01

Concepts organize the relationship among individual stimuli or events by highlighting shared features. Often, new goals require updating conceptual knowledge to reflect relationships based on different goal-relevant features. Here, our aim is to determine how hippocampal (HPC) object representations are organized and updated to reflect changing conceptual knowledge. Participants learned two classification tasks in which successful learning required attention to different stimulus features, thus providing a means to index how representations of individual stimuli are reorganized according to changing task goals. We used a computational learning model to capture how people attended to goal-relevant features and organized object representations based on those features during learning. Using representational similarity analyses of functional magnetic resonance imaging data, we demonstrate that neural representations in left anterior HPC correspond with model predictions of concept organization. Moreover, we show that during early learning, when concept updating is most consequential, HPC is functionally coupled with prefrontal regions. Based on these findings, we propose that when task goals change, object representations in HPC can be organized in new ways, resulting in updated concepts that highlight the features most critical to the new goal. PMID:27803320

Pupils Learning Preferences and Interest Development in Learning

ERIC Educational Resources Information Center

Arikpo, Ofem U.; Domike, Grace

2015-01-01

This paper presents an overview of the extent pupils learning preference and interest development influences their learning in schools. Interest is refers to an individual's relatively enduring psychological predisposition (preference) to re-engage in particular classes of objects, available evidence indicates that, there are many factors that…

Finding the Right Mix: Teaching Methods as Predictors for Student Progress on Learning Objectives

ERIC Educational Resources Information Center

Glover, Jacob I.

2012-01-01

This study extends existing student ratings research by exploring how teaching methods, individually and collectively, influence a minimum standard of student achievement on learning objectives and how class size impacts this influence. Twenty teaching methods were used to predict substantial or exceptional progress on each of 12 learning…

The influence of personality on neural mechanisms of observational fear and reward learning

PubMed Central

Hooker, Christine I.; Verosky, Sara C.; Miyakawa, Asako; Knight, Robert T.; D’Esposito, Mark

2012-01-01

Fear and reward learning can occur through direct experience or observation. Both channels can enhance survival or create maladaptive behavior. We used fMRI to isolate neural mechanisms of observational fear and reward learning and investigate whether neural response varied according to individual differences in neuroticism and extraversion. Participants learned object-emotion associations by observing a woman respond with fearful (or neutral) and happy (or neutral) facial expressions to novel objects. The amygdala-hippocampal complex was active when learning the object-fear association, and the hippocampus was active when learning the object-happy association. After learning, objects were presented alone; amygdala activity was greater for the fear (vs. neutral) and happy (vs. neutral) associated object. Importantly, greater amygdala-hippocampal activity during fear (vs. neutral) learning predicted better recognition of learned objects on a subsequent memory test. Furthermore, personality modulated neural mechanisms of learning. Neuroticism positively correlated with neural activity in the amygdala and hippocampus during fear (vs. neutral) learning. Low extraversion/high introversion was related to faster behavioral predictions of the fearful and neutral expressions during fear learning. In addition, low extraversion/high introversion was related to greater amygdala activity during happy (vs. neutral) learning, happy (vs. neutral) object recognition, and faster reaction times for predicting happy and neutral expressions during reward learning. These findings suggest that neuroticism is associated with an increased sensitivity in the neural mechanism for fear learning which leads to enhanced encoding of fear associations, and that low extraversion/high introversion is related to enhanced conditionability for both fear and reward learning. PMID:18573512

Knowledge Transfer in Health Care Through Digitally Collecting Learning Experiences - Results of Witra Care.

PubMed

Behrends, Marianne; Kupka, Thomas; Schmeer, Regina; Meyenburg-Altwarg, Iris; Marschollek, Michael

2016-01-01

The goal of the project Witra Care was to investigate how far the use of mobile technology is suitable to collect experience-based knowledge of nurses. Nine new employees and seven experienced nurses received for six weeks a mobile phone or a tablet pc with a mobile application that allowed them to collect learning object as pictures, videos, audio files or notes. In Witra Care the nurses created 303 learning objects. They have found the collecting of learning experiences was helpful for their learning processes. The learning objects demonstrate various aspects of daily routines in nursing. The results of Witra Care show that the documentation of learning experiences with mobile devices helps to gather information about the practical knowledge in the daily work of nurses, identifies individual learning needs of the employees and supports them in their personal learning processes.

Competence-Related Metadata for Educational Resources that Support Lifelong Competence Development Programmes

ERIC Educational Resources Information Center

Sampson, Demetrios G.

2009-01-01

In the context of the emerging paradigm of Lifelong Learning, competence-based learning is gradually attracting the attention of the Technology-Enhanced Learning community, since it appears to meet the 21st Century learning and training expectations of both individuals and organisations. On the other hand, the paradigm of Learning Objects--as a…

Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers.

PubMed

Chen, Chi-Hsin; Gershkoff-Stowe, Lisa; Wu, Chih-Yi; Cheung, Hintat; Yu, Chen

2017-08-01

Two experiments were conducted to examine adult learners' ability to extract multiple statistics in simultaneously presented visual and auditory input. Experiment 1 used a cross-situational learning paradigm to test whether English speakers were able to use co-occurrences to learn word-to-object mappings and concurrently form object categories based on the commonalities across training stimuli. Experiment 2 replicated the first experiment and further examined whether speakers of Mandarin, a language in which final syllables of object names are more predictive of category membership than English, were able to learn words and form object categories when trained with the same type of structures. The results indicate that both groups of learners successfully extracted multiple levels of co-occurrence and used them to learn words and object categories simultaneously. However, marked individual differences in performance were also found, suggesting possible interference and competition in processing the two concurrent streams of regularities. Copyright © 2016 Cognitive Science Society, Inc.

The Impact on Career Development of Learning Opportunities and Learning Behavior at Work.

ERIC Educational Resources Information Center

Van der Sluis, Lidewey E. C.; Poell, Rob E.

2003-01-01

Survey responses were received in 1998 (n=63) and 1999 (n=98) from master's of business administration graduates. Hierarchical regression and difference of means tests found that career development depended on learning opportunities at work and on individual learning behavior. Behavior was more predictive of objective career development measures,…

Variability in memory performance in aged healthy individuals: an fMRI study.

PubMed

Grön, Georg; Bittner, Daniel; Schmitz, Bernd; Wunderlich, Arthur P; Tomczak, Reinhard; Riepe, Matthias W

2003-01-01

Episodic memory performance varies in older subjects but underlying biological correlates remain as yet ambiguous. We investigated episodic memory in healthy older individuals (n=24; mean age: 64.4+/-6.7 years) without subjective memory complaints or objective cognitive impairment. Episodic memory was assessed with repetitive learning and recall of abstract geometric patterns during fMRI. Group analysis of brain activity during initial learning and maximum recall revealed hippocampal activation. Correlation analysis of brain activation and task performance demonstrated significant hippocampal activity during initial learning and maximum recall in a success-dependent manner. Neither age nor gray matter densities correlated with hippocampal activation. Functional imaging of episodic memory thus permits to detect objectively variability in hippocampal recruitment in healthy aged individuals without subjective memory complaints. Correlation analysis of brain activation and performance during an episodic memory task may be used to determine and follow-up hippocampal malfunction in a very sensitive manner.

Video Game Learning Dynamics: Actionable Measures of Multidimensional Learning Trajectories

ERIC Educational Resources Information Center

Reese, Debbie Denise; Tabachnick, Barbara G.; Kosko, Robert E.

2015-01-01

Valid, accessible, reusable methods for instructional video game design and embedded assessment can provide actionable information enhancing individual and collective achievement. Cyberlearning through game-based, metaphor-enhanced learning objects (CyGaMEs) design and embedded assessment quantify player behavior to study knowledge discovery and…

How learning might strengthen existing visual object representations in human object-selective cortex.

PubMed

Brants, Marijke; Bulthé, Jessica; Daniels, Nicky; Wagemans, Johan; Op de Beeck, Hans P

2016-02-15

Visual object perception is an important function in primates which can be fine-tuned by experience, even in adults. Which factors determine the regions and the neurons that are modified by learning is still unclear. Recently, it was proposed that the exact cortical focus and distribution of learning effects might depend upon the pre-learning mapping of relevant functional properties and how this mapping determines the informativeness of neural units for the stimuli and the task to be learned. From this hypothesis we would expect that visual experience would strengthen the pre-learning distributed functional map of the relevant distinctive object properties. Here we present a first test of this prediction in twelve human subjects who were trained in object categorization and differentiation, preceded and followed by a functional magnetic resonance imaging session. Specifically, training increased the distributed multi-voxel pattern information for trained object distinctions in object-selective cortex, resulting in a generalization from pre-training multi-voxel activity patterns to after-training activity patterns. Simulations show that the increased selectivity combined with the inter-session generalization is consistent with a training-induced strengthening of a pre-existing selectivity map. No training-related neural changes were detected in other regions. In sum, training to categorize or individuate objects strengthened pre-existing representations in human object-selective cortex, providing a first indication that the neuroanatomical distribution of learning effects depends upon the pre-learning mapping of visual object properties. Copyright © 2015 Elsevier Inc. All rights reserved.

A Participative and Individualized Laboratory: A Strategy for Increasing Student Success in College-Level Math Courses

ERIC Educational Resources Information Center

Toro Clarke, Jose Antonio

2016-01-01

This research was carried out within a qualitative research paradigm. The objective was to observe, analyze and enrich pedagogical practice through the use of pedagogical learning strategies. The learning strategy was a participative and individualized lab carried out during a research project in a non-Traditional Laboratory (LnT). The primary aim…

Mutual interference between statistical summary perception and statistical learning.

PubMed

Zhao, Jiaying; Ngo, Nhi; McKendrick, Ryan; Turk-Browne, Nicholas B

2011-09-01

The visual system is an efficient statistician, extracting statistical summaries over sets of objects (statistical summary perception) and statistical regularities among individual objects (statistical learning). Although these two kinds of statistical processing have been studied extensively in isolation, their relationship is not yet understood. We first examined how statistical summary perception influences statistical learning by manipulating the task that participants performed over sets of objects containing statistical regularities (Experiment 1). Participants who performed a summary task showed no statistical learning of the regularities, whereas those who performed control tasks showed robust learning. We then examined how statistical learning influences statistical summary perception by manipulating whether the sets being summarized contained regularities (Experiment 2) and whether such regularities had already been learned (Experiment 3). The accuracy of summary judgments improved when regularities were removed and when learning had occurred in advance. In sum, calculating summary statistics impeded statistical learning, and extracting statistical regularities impeded statistical summary perception. This mutual interference suggests that statistical summary perception and statistical learning are fundamentally related.

Team-Based Learning in a Statistical Literacy Class

ERIC Educational Resources Information Center

St. Clair, Katherine; Chihara, Laura

2012-01-01

Team-based learning (TBL) is a pedagogical strategy that uses groups of students working together in teams to learn course material. The main learning objective in TBL is to provide students the opportunity to "practice" course concepts during class-time. A key feature is multiple-choice quizzes that students take individually and then re-take as…

Independent Representation of Parts and the Relations between Them: Evidence from Integrative Agnosia

ERIC Educational Resources Information Center

Behrmann, Marlene; Peterson, Mary A.; Moscovitch, Morris; Suzuki, Satoru

2006-01-01

Whether objects are represented as a collection of parts whose relations are coded independently remains a topic of ongoing discussion among theorists in the domain of shape perception. S. M., an individual with integrative agnosia, and neurologically intact ("normal") individuals learned initially to identify 4 target objects constructed of 2…

A Comparison of the Effects of an Advanced Organizer and/or Behavioral Objectives on the Achievement of Disadvantaged Biology Students.

ERIC Educational Resources Information Center

Kahle, Jane Butler

The use of an advanced organizer (a generalizable, encompassing concept) prior to an individualized instructional sequence in a self-paced, audiotutorial learning format was accompanied by gains in individual unit achievement and in retention by disadvantaged biology students. Although behavioral objectives generally were shown to make no…

The Role of Motivation, Cognition, and Conscientiousness for Academic Achievement

ERIC Educational Resources Information Center

Imhof, Margarete; Spaeth-Hilbert, Tatjana

2013-01-01

Based on a cognitive motivational process model of learning, the impact of studying behavior on learning outcome is investigated. First-year students (N = 488) participated in the study. Two research questions were addressed: (1) Can cognitive-motivational variables and objective study behavior predict individual learning? (2) Which factors drive…

Online Self-Organizing Social Systems: The Decentralized Future of Online Learning.

ERIC Educational Resources Information Center

Wiley, David A.; Edwards, Erin K.

2002-01-01

Describes an online self-organizing social system (OSOSS) which allows large numbers of individuals to self-organize in a highly decentralized manner to solve problems and accomplish other goals. Topics include scalability and bandwidth in online learning; self-organization; learning objects; instructional design underlying OSOSS, including…

Assessing Learning Online: The Top Ten List

ERIC Educational Resources Information Center

Klecker, Beverly M.

2005-01-01

The purpose of instruction, whether face-to-face or online, is to facilitate student achievement of intended learning objectives. Traditionally, the major function of classroom assessment in undergraduate and graduate university courses has been to measure the individual student's learning in order to provide feedback to the student and to…

Who Reaps the Benefits of Social Change? Exploration and Its Socioecological Boundaries.

PubMed

Lechner, Clemens M; Obschonka, Martin; Silbereisen, Rainer K

2017-04-01

We investigated the interplay between the personality trait exploration and objective socioecological conditions in shaping individual differences in the experience of two individual-level benefits of current social change: new lifestyle options, which arise from the societal trend toward individualization, and new learning opportunities, which accrue from the societal trend toward lifelong learning. We hypothesized that people with higher trait exploration experience a greater increase in lifestyle options and learning opportunities--but more so in social ecologies in which individualization and lifelong learning are stronger, thus offering greater latitude for exploring the benefits of these trends. We employed structural equation modeling in two parallel adult samples from Germany (N = 2,448) and Poland (N = 2,571), using regional divorce rates as a proxy for individualization and Internet domain registration rates as a proxy for lifelong learning. Higher exploration was related to a greater perceived increase in lifestyle options and in learning opportunities over the past 5 years. These associations were stronger in regions in which the trends toward individualization and lifelong learning, respectively, were more prominent. Individuals higher in exploration are better equipped to reap the benefits of current social change--but the effects of exploration are bounded by the conditions in the social ecology. © 2015 Wiley Periodicals, Inc.

Simulation in otolaryngology: smart dummies and more.

PubMed

Deutsch, Ellen S

2011-12-01

Simulation is revolutionizing medical education, certification, and ongoing professional development. Simulation encompasses a variety of technologies as well as nontechnical approaches to improve individual psychomotor skills, group effectiveness, and systems processes, all without direct risk to patients. Simulation-enhanced learning experiences, addressing learning objectives based on the needs of the individual or the group and following the principles of adult education, can be used to ensure consistent and comprehensive learning opportunities, thereby creatively complementing didactic and clinical learning experiences. Pockets of simulation expertise are already present in the field of otolaryngology; more will develop as these exciting and important innovations blossom.

Setting Goals and Objectives for LD Children-Process and Problems

ERIC Educational Resources Information Center

Gallistel, Elizabeth R.

1978-01-01

Discussed are problems and procedures in setting goals and objectives for learning disabled children in the implementation of Individualized Education Programs required by the Education for All Handicapped Children Act. (Author/ DLS)

More than words: Adults learn probabilities over categories and relationships between them.

PubMed

Hudson Kam, Carla L

2009-04-01

This study examines whether human learners can acquire statistics over abstract categories and their relationships to each other. Adult learners were exposed to miniature artificial languages containing variation in the ordering of the Subject, Object, and Verb constituents. Different orders (e.g. SOV, VSO) occurred in the input with different frequencies, but the occurrence of one order versus another was not predictable. Importantly, the language was constructed such that participants could only match the overall input probabilities if they were tracking statistics over abstract categories, not over individual words. At test, participants reproduced the probabilities present in the input with a high degree of accuracy. Closer examination revealed that learner's were matching the probabilities associated with individual verbs rather than the category as a whole. However, individual nouns had no impact on word orders produced. Thus, participants learned the probabilities of a particular ordering of the abstract grammatical categories Subject and Object associated with each verb. Results suggest that statistical learning mechanisms are capable of tracking relationships between abstract linguistic categories in addition to individual items.

Motivation to E-Learn within Organizational Settings: An Exploratory Factor Structure

ERIC Educational Resources Information Center

Rentroia-Bonito, M. A.; Jorge, J.; Ghaoui, C.

2006-01-01

E-learning is expected to support organizations and individuals so they can become more adaptable and competitive. However, in order for organizations to realize the full potential of this technology, they should create and sustain the right context to foster learning in articulation with business objectives. This requires active participation and…

Embedding Mixed-Reality Laboratories into E-Learning Systems for Engineering Education

ERIC Educational Resources Information Center

Al-Tikriti, Munther N.; Al-Aubidy, Kasim M.

2013-01-01

E-learning, virtual learning and mixed reality techniques are now a global integral part of the academic and educational systems. They provide easier access to educational opportunities to a very wide spectrum of individuals to pursue their educational and qualification objectives. These modern techniques have the potentials to improve the quality…

Independent representation of parts and the relations between them: evidence from integrative agnosia.

PubMed

Behrmann, Marlene; Peterson, Mary A; Moscovitch, Morris; Suzuki, Satoru

2006-10-01

Whether objects are represented as a collection of parts whose relations are coded independently remains a topic of ongoing discussion among theorists in the domain of shape perception. S. M., an individual with integrative agnosia, and neurologically intact ("normal") individuals learned initially to identify 4 target objects constructed of 2 simple volumetric parts. At test, the targets were mixed with distractors, some of which could be discriminated from the targets on the basis of a mismatching part, whereas the rest could be discriminated only on the basis of the altered spatial arrangements of parts. S. M. learned to identify the target objects, although at a rate slower than that of the normal participants. At test, he correctly rejected distractors on the basis of mismatching parts but was profoundly impaired at rejecting distractors made of the same local components but with mismatching spatial arrangements. These results suggest that encoding the spatial arrangements of parts of an object requires a mechanism that is different from that required for encoding the shape of individual parts, with the former selectively compromised in integrative agnosia. Copyright 2006 APA.

Learning User Preferences for Sets of Objects

NASA Technical Reports Server (NTRS)

desJardins, Marie; Eaton, Eric; Wagstaff, Kiri L.

2006-01-01

Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of items. Our learning method takes as input a collection of positive examples--that is, one or more sets that have been identified by a user as desirable. Kernel density estimation is used to estimate the value function for individual items, and the desired set diversity is estimated from the average set diversity observed in the collection. Since this is a new learning problem, we introduce a new evaluation methodology and evaluate the learning method on two data collections: synthetic blocks-world data and a new real-world music data collection that we have gathered.

An innovative approach to developing the reflective skills of medical students

PubMed Central

Henderson, Penny; Johnson, Martin H

2002-01-01

Background Development of the reflective skills of medical students is an acknowledged objective of medical education. Description Description of an educational exercise which uses an email-based process for developing the reflective skills of undergraduate medical students. Student quotations illustrate learning outcomes qualitatively. Discussion The process described is immediate, direct, linked to learning objectives, enables rapid responses to be given to the students individually, and is followed by group sharing of learning. It provides a rigorous and robust feedback loop for students. It is relatively economic for teachers and incidentally benefits curriculum design and evolution. The approach supports development of a reflective approach to learning. PMID:12003640

Children's reasoning about physics within and across ontological kinds.

PubMed

Heyman, Gail D; Phillips, Ann T; Gelman, Susan A

2003-08-01

Reasoning about seven physics principles within and across ontological kinds was examined among 188 5- and 7-year-olds and 59 adults. Individuals in all age groups tended to appropriately generalize what they learned across ontological kinds. However, children also showed sensitivity to ontological kind in their projections: when learning principles with reference to people they were more likely to assume that the principles apply to another person than to an inanimate object, and when learning with reference to an inanimate object they were more likely to assume that the principles apply to another inanimate object than to a person. Five-year-olds, but not 7-year-olds, projected concepts learned about people to a greater extent than principles learned about inanimate objects, closely paralleling the findings of Carey for the biological domain (Carey, S. (1985). Conceptual change in childhood. Cambridge, MA: MIT Press). Results from a separate sample of 22 5-year-olds suggest that the primary findings cannot be explained by response perseveration. The present findings indicate that children understand physics principles that apply to both animate and inanimate objects, but distinguish between these ontological kinds.

Application of Multi-Objective Human Learning Optimization Method to Solve AC/DC Multi-Objective Optimal Power Flow Problem

NASA Astrophysics Data System (ADS)

Cao, Jia; Yan, Zheng; He, Guangyu

2016-06-01

This paper introduces an efficient algorithm, multi-objective human learning optimization method (MOHLO), to solve AC/DC multi-objective optimal power flow problem (MOPF). Firstly, the model of AC/DC MOPF including wind farms is constructed, where includes three objective functions, operating cost, power loss, and pollutant emission. Combining the non-dominated sorting technique and the crowding distance index, the MOHLO method can be derived, which involves individual learning operator, social learning operator, random exploration learning operator and adaptive strategies. Both the proposed MOHLO method and non-dominated sorting genetic algorithm II (NSGAII) are tested on an improved IEEE 30-bus AC/DC hybrid system. Simulation results show that MOHLO method has excellent search efficiency and the powerful ability of searching optimal. Above all, MOHLO method can obtain more complete pareto front than that by NSGAII method. However, how to choose the optimal solution from pareto front depends mainly on the decision makers who stand from the economic point of view or from the energy saving and emission reduction point of view.

Effect on E-Content Learning Package in Mathematics Education for the Prospective Teachers

ERIC Educational Resources Information Center

Joan, D. R. Robert

2013-01-01

E-content learning package will progress the learning process of students in formal or informal setting. It allows us to sort out the information to analyse and make meaning for conceptualization and applications which is suitable for individual learners. The objectives of the study was to measure the effectiveness of the E-content learning…

PELS: A Noble Architecture and Framework for a Personal E-Learning System (PELS)

ERIC Educational Resources Information Center

Dewan, Jahangir; Chowdhury, Morshed; Batten, Lynn

2014-01-01

This article presents a personal e-learning system architecture in the context of a social network environment. The main objective of a personal e-learning system is to develop individual skills on a specific subject and share resources with peers. The authors' system architecture defines the organisation and management of a personal learning…

Implementation of Assurance of Learning Plans: An Accounting Program and Individual Course Analysis

ERIC Educational Resources Information Center

Christensen, Anne L.; Judd, Andrew J.; Nichols, Nancy B.

2011-01-01

The authors surveyed faculty at AACSB-accredited schools regarding the learning goals and measures for their accounting programs as well as course objectives for the introductory tax course. They found over 50% of respondents were still developing their learning goals and measures and only 18% of respondents had completed 2 or more rounds of…

Preparing Scholars of Teaching and Learning Using a Model of Collaborative Peer Consulting and Action Research

ERIC Educational Resources Information Center

Waterman, Margaret; Weber, Janet; Pracht, Carl; Conway, Kathleen; Kunz, David; Evans, Beverly; Hoffman, Steven; Smentkowski, Brian; Starrett, David

2010-01-01

The Scholarship of Teaching and Learning (SoTL) Fellows Program at Southeast Missouri State University supports an annual cohort of 10 faculty Fellows to evaluate, through individual research projects, the effect of teaching on student learning of two or more of the university's General Education objectives. Designed around practical action…

Learning-based stochastic object models for characterizing anatomical variations

NASA Astrophysics Data System (ADS)

Dolly, Steven R.; Lou, Yang; Anastasio, Mark A.; Li, Hua

2018-03-01

It is widely known that the optimization of imaging systems based on objective, task-based measures of image quality via computer-simulation requires the use of a stochastic object model (SOM). However, the development of computationally tractable SOMs that can accurately model the statistical variations in human anatomy within a specified ensemble of patients remains a challenging task. Previously reported numerical anatomic models lack the ability to accurately model inter-patient and inter-organ variations in human anatomy among a broad patient population, mainly because they are established on image data corresponding to a few of patients and individual anatomic organs. This may introduce phantom-specific bias into computer-simulation studies, where the study result is heavily dependent on which phantom is used. In certain applications, however, databases of high-quality volumetric images and organ contours are available that can facilitate this SOM development. In this work, a novel and tractable methodology for learning a SOM and generating numerical phantoms from a set of volumetric training images is developed. The proposed methodology learns geometric attribute distributions (GAD) of human anatomic organs from a broad patient population, which characterize both centroid relationships between neighboring organs and anatomic shape similarity of individual organs among patients. By randomly sampling the learned centroid and shape GADs with the constraints of the respective principal attribute variations learned from the training data, an ensemble of stochastic objects can be created. The randomness in organ shape and position reflects the learned variability of human anatomy. To demonstrate the methodology, a SOM of an adult male pelvis is computed and examples of corresponding numerical phantoms are created.

Accommodation Decision Making for Postsecondary Students With Learning Disabilities: Individually Tailored or One Size Fits All?

PubMed

Weis, Robert; Dean, Emily L; Osborne, Karen J

2016-09-01

Clinicians uniformly recommend accommodations for college students with learning disabilities; however, we know very little about which accommodations they select and the validity of their recommendations. We examined the assessment documentation of a large sample of community college students receiving academic accommodations for learning disabilities to determine (a) which accommodations their clinicians recommended and (b) whether clinicians' recommendations were supported by objective data gathered during the assessment process. In addition to test and instructional accommodations, many clinicians recommended that students with learning disabilities should have different educational expectations, standards, and methods of evaluation (i.e., grading) than their nondisabled classmates. Many of their recommendations for accommodations were not supported by objective evidence from students' history, diagnosis, test data, and current functioning. Furthermore, clinicians often recommended accommodations that were not specific to the student's diagnosis or area of disability. Our findings highlight the need for individually selected accommodations matched to students' needs and academic contexts. © Hammill Institute on Disabilities 2014.

Evocative Objects: Reflections on Teaching, Learning, and Living in between

ERIC Educational Resources Information Center

Hesse, Doug; Sommers, Nancy; Yancey, Kathleen Blake

2012-01-01

Objects are rich sources of inquiry; they invite individuals to observe closely, pose questions, forge connections, and anchor ideas in the concrete. By examining a son's craft project, a family photograph, and an image of tectonic plates, the authors demonstrate how objects can elicit rhetorical invention. While this venture started as a writing…

Convergence analysis of sliding mode trajectories in multi-objective neural networks learning.

PubMed

Costa, Marcelo Azevedo; Braga, Antonio Padua; de Menezes, Benjamin Rodrigues

2012-09-01

The Pareto-optimality concept is used in this paper in order to represent a constrained set of solutions that are able to trade-off the two main objective functions involved in neural networks supervised learning: data-set error and network complexity. The neural network is described as a dynamic system having error and complexity as its state variables and learning is presented as a process of controlling a learning trajectory in the resulting state space. In order to control the trajectories, sliding mode dynamics is imposed to the network. It is shown that arbitrary learning trajectories can be achieved by maintaining the sliding mode gains within their convergence intervals. Formal proofs of convergence conditions are therefore presented. The concept of trajectory learning presented in this paper goes further beyond the selection of a final state in the Pareto set, since it can be reached through different trajectories and states in the trajectory can be assessed individually against an additional objective function. Copyright © 2012 Elsevier Ltd. All rights reserved.

Ontogeny of Manipulative Behavior and Nut-Cracking in Young Tufted Capuchin Monkeys ("Cebus Apella"): A Perception-Action Perspective

ERIC Educational Resources Information Center

de Resende, Briseida Dogo; Ottoni, Eduardo B.; Fragaszy, Dorothy M.

2008-01-01

How do capuchin monkeys learn to use stones to crack open nuts? Perception-action theory posits that individuals explore producing varying spatial and force relations among objects and surfaces, thereby learning about affordances of such relations and how to produce them. Such learning supports the discovery of tool use. We present longitudinal…

Beyond Objectivity: The Performance Impact of the Perceived Ability to Learn and Solve Problems

ERIC Educational Resources Information Center

Tews, Michael J.; Michel, John W.; Noe, Raymond A.

2011-01-01

The purpose of this research was to develop and provide initial validation evidence for the performance impact of a measure of an individual's perceived ability to learn and solve problems (PALS). Building on the self-efficacy literature and the importance of learning and problem solving, the fundamental premise of this research was that PALS…

How States Use Student Learning Objectives in Teacher Evaluation Systems: A Review of State Websites. REL 2014-013

ERIC Educational Resources Information Center

Lacireno-Paquet, Natalie; Morgan, Claire; Mello, Daniel

2014-01-01

Motivated by the need to improve teaching and learning and by federal priorities reflected in requirements for grant programs such as Race to the Top and the Teacher Incentive Fund, many states are developing teacher evaluation systems that include measures of individual teachers' contributions to their students' learning growth. One way to…

How States Use Student Learning Objectives in Teacher Evaluation Systems: A Review of State Websites. Summary. REL 2014-013

ERIC Educational Resources Information Center

Lacireno-Paquet, Natalie; Morgan, Claire; Mello, Daniel

2014-01-01

Motivated by the need to improve teaching and learning and by federal priorities reflected in requirements for grant programs such as Race to the Top and the Teacher Incentive Fund, many states are developing teacher evaluation systems that include measures of individual teachers' contributions to their students' learning growth. One way to…

Challenge: Teacher's Utilization Manual.

ERIC Educational Resources Information Center

Lincoln Public Schools, NE.

Published as a guide to educational television viewing for the gifted, the stated objective is to extend the learning environment, validate and individualize learning, provide resources, and use a nonverbal approach. For each area discussed the text provides information on the target audience, the need and purpose, methods of achieving the…

Measuring Performance: Teacher-Made Tests.

ERIC Educational Resources Information Center

Haladyna, Tom

Among the new testing developments are the use of objectives or goals in instruction, competency based approaches to instruction, criterion referenced testing, and performance oriented testing. These new approaches often emphasize individualized learning; each student's progress is individually monitored by comparison with clear statements of what…

Perceptual Learning of Object Shape

PubMed Central

Golcu, Doruk; Gilbert, Charles D.

2009-01-01

Recognition of objects is accomplished through the use of cues that depend on internal representations of familiar shapes. We used a paradigm of perceptual learning during visual search to explore what features human observers use to identify objects. Human subjects were trained to search for a target object embedded in an array of distractors, until their performance improved from near-chance levels to over 80% of trials in an object specific manner. We determined the role of specific object components in the recognition of the object as a whole by measuring the transfer of learning from the trained object to other objects sharing components with it. Depending on the geometric relationship of the trained object with untrained objects, transfer to untrained objects was observed. Novel objects that shared a component with the trained object were identified at much higher levels than those that did not, and this could be used as an indicator of which features of the object were important for recognition. Training on an object also transferred to the components of the object when these components were embedded in an array of distractors of similar complexity. These results suggest that objects are not represented in a holistic manner during learning, but that their individual components are encoded. Transfer between objects was not complete, and occurred for more than one component, regardless of how well they distinguish the object from distractors. This suggests that a joint involvement of multiple components was necessary for full performance. PMID:19864574

Efficiency of printed materials in worksite health promotion.

PubMed

Kishchuk, N; Anbar, F; O'Loughlin, J; Masson, P; Sacks-Silver, G

1991-01-01

Printed health promotion materials are widely believed to be an efficient means of achieving basic health promotion objectives, such as increasing knowledge of risk factors. This study examined the efficiency of cardiovascular health promotion leaflets in reaching employees in a heterogeneous sample of worksites. Two types of distribution were used: copies of the leaflets were either made available centrally or distributed to each individual employee. Interviews were conducted with 272 employees in six worksites. Respondents were asked whether they recognized, had read, and had learned something from the leaflets. Only one-quarter of respondents recognized the leaflets and only 14% stated that they had learned something. The efficiency of the leaflets was therefore much lower than expected. Z-tests for proportions showed that recognition, reading, and learning were significantly greater among those employees who had been given individual copies of the material. Among those who had been given individual copies, 45% reported recognizing the leaflet, 36% reading it, and 23% learning something from it. Among those who had only central access, the respective scores were 11%, 7% and 6%. These results suggest that the potential cost-effectiveness of printed materials such as leaflets and brochures should be weighed against alternative forms of intervention, given specific program objectives and characteristics of the target population. They also suggest that the cost and effort required in organizing the distribution of individual copies may be recouped in greater penetration.

Transfer of Learning between Hemifields in Multiple Object Tracking: Memory Reduces Constraints of Attention

PubMed Central

Lapierre, Mark; Howe, Piers D. L.; Cropper, Simon J.

2013-01-01

Many tasks involve tracking multiple moving objects, or stimuli. Some require that individuals adapt to changing or unfamiliar conditions to be able to track well. This study explores processes involved in such adaptation through an investigation of the interaction of attention and memory during tracking. Previous research has shown that during tracking, attention operates independently to some degree in the left and right visual hemifields, due to putative anatomical constraints. It has been suggested that the degree of independence is related to the relative dominance of processes of attention versus processes of memory. Here we show that when individuals are trained to track a unique pattern of movement in one hemifield, that learning can be transferred to the opposite hemifield, without any evidence of hemifield independence. However, learning is not influenced by an explicit strategy of memorisation of brief periods of recognisable movement. The findings lend support to a role for implicit memory in overcoming putative anatomical constraints on the dynamic, distributed spatial allocation of attention involved in tracking multiple objects. PMID:24349555

State Testing Standards versus Creativity.

ERIC Educational Resources Information Center

Ediger, Marlow

The balance between conformity to state standards and creativity in providing for individual differences in the classroom is discussed. With the current emphases on accountability and standards, learning opportunities for students are supposed to be aligned with state-mandated objectives. This may lead to a situation in which rote learning,…

Pneumatics. Student's Manual [and] Instructor's Guide.

ERIC Educational Resources Information Center

Notgrass, Troy

The student's manual in this two-part instructional kit is designed to help the following types of students learn introductory technical material related to pneumatics: (1) groups of trade and industrial students with a variety of vocational objectives and (2) homogeneous groups in which the learning levels of individual students vary…

Deployment of Mobile Learning Course Materials to Android Powered Mobile Devices

ERIC Educational Resources Information Center

Chao, Lee

2012-01-01

The objective of this article is to facilitate mobile teaching and learning by providing an alternative course material deployment method. This article suggests a course material deployment platform for small universities or individual instructors. Different from traditional course material deployment methods, the method discussed deploys course…

The Dynamic Interplay among EFL Learners' Ambiguity Tolerance, Adaptability, Cultural Intelligence, Learning Approach, and Language Achievement

ERIC Educational Resources Information Center

Alahdadi, Shadi; Ghanizadeh, Afsaneh

2017-01-01

A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and…

Improving Collaborative Learning in Online Software Engineering Education

ERIC Educational Resources Information Center

Neill, Colin J.; DeFranco, Joanna F.; Sangwan, Raghvinder S.

2017-01-01

Team projects are commonplace in software engineering education. They address a key educational objective, provide students critical experience relevant to their future careers, allow instructors to set problems of greater scale and complexity than could be tackled individually, and are a vehicle for socially constructed learning. While all…

Evaluating the Effectiveness of the Lecture versus Independent Study.

ERIC Educational Resources Information Center

DaRosa, Debra A.; And Others

1991-01-01

The impacts of independent study and the lecture approach on student test scores and study time were compared for 205 medical students studying surgery. Learning objective, multiple-choice, and essay questions were developed for selected topics related to surgery. Findings support increased individual active learning strategies and decreased…

Transfer of motor learning from virtual to natural environments in individuals with cerebral palsy.

PubMed

de Mello Monteiro, Carlos Bandeira; Massetti, Thais; da Silva, Talita Dias; van der Kamp, John; de Abreu, Luiz Carlos; Leone, Claudio; Savelsbergh, Geert J P

2014-10-01

With the growing accessibility of computer-assisted technology, rehabilitation programs for individuals with cerebral palsy (CP) increasingly use virtual reality environments to enhance motor practice. Thus, it is important to examine whether performance improvements in the virtual environment generalize to the natural environment. To examine this issue, we had 64 individuals, 32 of which were individuals with CP and 32 typically developing individuals, practice two coincidence-timing tasks. In the more tangible button-press task, the individuals were required to 'intercept' a falling virtual object at the moment it reached the interception point by pressing a key. In the more abstract, less tangible task, they were instructed to 'intercept' the virtual object by making a hand movement in a virtual environment. The results showed that individuals with CP timed less accurate than typically developing individuals, especially for the more abstract task in the virtual environment. The individuals with CP did-as did their typically developing peers-improve coincidence timing with practice on both tasks. Importantly, however, these improvements were specific to the practice environment; there was no transfer of learning. It is concluded that the implementation of virtual environments for motor rehabilitation in individuals with CP should not be taken for granted but needs to be considered carefully. Copyright © 2014 Elsevier Ltd. All rights reserved.

Optimization of the p-xylene oxidation process by a multi-objective differential evolution algorithm with adaptive parameters co-derived with the population-based incremental learning algorithm

NASA Astrophysics Data System (ADS)

Guo, Zhan; Yan, Xuefeng

2018-04-01

Different operating conditions of p-xylene oxidation have different influences on the product, purified terephthalic acid. It is necessary to obtain the optimal combination of reaction conditions to ensure the quality of the products, cut down on consumption and increase revenues. A multi-objective differential evolution (MODE) algorithm co-evolved with the population-based incremental learning (PBIL) algorithm, called PBMODE, is proposed. The PBMODE algorithm was designed as a co-evolutionary system. Each individual has its own parameter individual, which is co-evolved by PBIL. PBIL uses statistical analysis to build a model based on the corresponding symbiotic individuals of the superior original individuals during the main evolutionary process. The results of simulations and statistical analysis indicate that the overall performance of the PBMODE algorithm is better than that of the compared algorithms and it can be used to optimize the operating conditions of the p-xylene oxidation process effectively and efficiently.

Stability of the guinea pigs personality - cognition - linkage over time.

PubMed

Brust, Vera; Guenther, Anja

2017-01-01

In human psychological research, personality traits as well as cognitive traits are usually validated for both, their stability over time and contexts. While stability over time gives an estimate on how genetically fixated a trait can be, correlations across traits have the power to reveal linkages or trade - offs. In animals, these validations have widely been done for personality but not for cognitive traits. We tested guinea pigs in four consecutive discrimination tasks using four unique pairs of objects with two objects of the same form but different size in each pair. The same animals were tested twice each for three personality traits, i.e. boldness, aggression and sociopositive behaviour. The animals did not learn to "always choose the larger item" in the cognitive task but learned to discriminate the two objects of each stimulus pair anew, so that we did test for learning speed in four slightly different task setups. Performance over the four tasks was significantly repeatable as well as all tested personality traits. A stable linkage over time was found between sociopositive behaviour and learning performance, probably indicating an ecological relevance for a correlation between these two traits. Still, not all traits seem to be connected amongst each other, as in our case boldness and aggression are both not linked to individual learning performance. Future studies will hopefully further investigate the repeatability of various cognitive traits in several species and thus lead to a better understanding of the interdependence of personality and cognition. This will help to unravel which suites of traits facilitate individual life histories and hence improve our understanding of the emergence and maintenance of individual differences. Copyright © 2016 Elsevier B.V. All rights reserved.

Development of an Online Smartphone-Based eLearning Nutrition Education Program for Low-Income Individuals.

PubMed

Stotz, Sarah; Lee, Jung Sun

2018-01-01

The objective of this report was to describe the development process of an innovative smartphone-based electronic learning (eLearning) nutrition education program targeted to Supplemental Nutrition Assistance Program-Education-eligible individuals, entitled Food eTalk. Lessons learned from the Food eTalk development process suggest that it is critical to include all key team members from the program's inception using effective inter-team communication systems, understand the unique resources needed, budget ample time for development, and employ an iterative development and evaluation model. These lessons have implications for researchers and funding agencies in developing an innovative evidence-based eLearning nutrition education program to an increasingly technology-savvy, low-income audience. Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Individual personality differences in goats predict their performance in visual learning and non-associative cognitive tasks.

PubMed

Nawroth, Christian; Prentice, Pamela M; McElligott, Alan G

2017-01-01

Variation in common personality traits, such as boldness or exploration, is often associated with risk-reward trade-offs and behavioural flexibility. To date, only a few studies have examined the effects of consistent behavioural traits on both learning and cognition. We investigated whether certain personality traits ('exploration' and 'sociability') of individuals were related to cognitive performance, learning flexibility and learning style in a social ungulate species, the goat (Capra hircus). We also investigated whether a preference for feature cues rather than impaired learning abilities can explain performance variation in a visual discrimination task. We found that personality scores were consistent across time and context. Less explorative goats performed better in a non-associative cognitive task, in which subjects had to follow the trajectory of a hidden object (i.e. testing their ability for object permanence). We also found that less sociable subjects performed better compared to more sociable goats in a visual discrimination task. Good visual learning performance was associated with a preference for feature cues, indicating personality-dependent learning strategies in goats. Our results suggest that personality traits predict the outcome in visual discrimination and non-associative cognitive tasks in goats and that impaired performance in a visual discrimination tasks does not necessarily imply impaired learning capacities, but rather can be explained by a varying preference for feature cues. Copyright © 2016 Elsevier B.V. All rights reserved.

Adaptive and perceptual learning technologies in medical education and training.

PubMed

Kellman, Philip J

2013-10-01

Recent advances in the learning sciences offer remarkable potential to improve medical education and maximize the benefits of emerging medical technologies. This article describes 2 major innovation areas in the learning sciences that apply to simulation and other aspects of medical learning: Perceptual learning (PL) and adaptive learning technologies. PL technology offers, for the first time, systematic, computer-based methods for teaching pattern recognition, structural intuition, transfer, and fluency. Synergistic with PL are new adaptive learning technologies that optimize learning for each individual, embed objective assessment, and implement mastery criteria. The author describes the Adaptive Response-Time-based Sequencing (ARTS) system, which uses each learner's accuracy and speed in interactive learning to guide spacing, sequencing, and mastery. In recent efforts, these new technologies have been applied in medical learning contexts, including adaptive learning modules for initial medical diagnosis and perceptual/adaptive learning modules (PALMs) in dermatology, histology, and radiology. Results of all these efforts indicate the remarkable potential of perceptual and adaptive learning technologies, individually and in combination, to improve learning in a variety of medical domains. Reprint & Copyright © 2013 Association of Military Surgeons of the U.S.

The Convergence of Intelligences

NASA Astrophysics Data System (ADS)

Diederich, Joachim

Minsky (1985) argued an extraterrestrial intelligence may be similar to ours despite very different origins. ``Problem- solving'' offers evolutionary advantages and individuals who are part of a technical civilisation should have this capacity. On earth, the principles of problem-solving are the same for humans, some primates and machines based on Artificial Intelligence (AI) techniques. Intelligent systems use ``goals'' and ``sub-goals'' for problem-solving, with memories and representations of ``objects'' and ``sub-objects'' as well as knowledge of relations such as ``cause'' or ``difference.'' Some of these objects are generic and cannot easily be divided into parts. We must, therefore, assume that these objects and relations are universal, and a general property of intelligence. Minsky's arguments from 1985 are extended here. The last decade has seen the development of a general learning theory (``computational learning theory'' (CLT) or ``statistical learning theory'') which equally applies to humans, animals and machines. It is argued that basic learning laws will also apply to an evolved alien intelligence, and this includes limitations of what can be learned efficiently. An example from CLT is that the general learning problem for neural networks is intractable, i.e. it cannot be solved efficiently for all instances (it is ``NP-complete''). It is the objective of this paper to show that evolved intelligences will be constrained by general learning laws and will use task-decomposition for problem-solving. Since learning and problem-solving are core features of intelligence, it can be said that intelligences converge despite very different origins.

Tracking of multiple targets using online learning for reference model adaptation.

PubMed

Pernkopf, Franz

2008-12-01

Recently, much work has been done in multiple object tracking on the one hand and on reference model adaptation for a single-object tracker on the other side. In this paper, we do both tracking of multiple objects (faces of people) in a meeting scenario and online learning to incrementally update the models of the tracked objects to account for appearance changes during tracking. Additionally, we automatically initialize and terminate tracking of individual objects based on low-level features, i.e., face color, face size, and object movement. Many methods unlike our approach assume that the target region has been initialized by hand in the first frame. For tracking, a particle filter is incorporated to propagate sample distributions over time. We discuss the close relationship between our implemented tracker based on particle filters and genetic algorithms. Numerous experiments on meeting data demonstrate the capabilities of our tracking approach. Additionally, we provide an empirical verification of the reference model learning during tracking of indoor and outdoor scenes which supports a more robust tracking. Therefore, we report the average of the standard deviation of the trajectories over numerous tracking runs depending on the learning rate.

Teachers' Inquiry Stance: Collaboration through Data Analysis in a Professional Learning Community

ERIC Educational Resources Information Center

Haack, Darin Marcus

2017-01-01

The purpose of this qualitative case study was to understand how teachers experience a stance toward inquiry through participation in Professional Learning Communities (PLCs). In order to meet this objective, the following questions framed this research: (1) How do individual teachers make meaning of the epistemological and dialogic aspects of…

Learning from People, Things, and Signs

ERIC Educational Resources Information Center

Hoffmann, Michael H. G.

2007-01-01

Starting from the observation that small children can count more objects than numbers--a phenomenon that I am calling the "lifeworld dependency of cognition"--and an analysis of finger calculation, the paper shows how learning can be explained as the development of cognitive systems. Parts of those systems are not only an individual's different…

Assessment of In-Service Training Activities for Junior High Mathematics Teachers

ERIC Educational Resources Information Center

Izci, Eyup; Göktas, Özlem

2017-01-01

The current education system aimed to train active deliberative individuals who learn to learn with the adoption of the constructivist educational approach. Based on this objective, there have been significant changes in the roles of teachers. To assist the development of teachers, the Ministry of Education organizes several in-service training…

Landscape-scale carbon sampling strategy-lessons learned. Chapter 17

Treesearch

John B. Bradford; Peter Weishampel; Marie-Louise Smith; Randall Kolka; David Y. Hollinger; Richard A. Birdsey; Scott Ollinger; Michael Ryan

2008-01-01

Previous chapters examined individual processes relevant to forest carbon cycling, and characterized measurement approaches for understanding those processes at landscape scales. In this final chapter, we address our overall approach to understanding forest carbon dynamics over large areas. Our objective is to identify any lessons that we learned in the course of...

Dress Nicer = Know More? Young Children’s Knowledge Attribution and Selective Learning Based on How Others Dress

PubMed Central

McDonald, Kyla P.; Ma, Lili

2015-01-01

This research explored whether children judge the knowledge state of others and selectively learn novel information from them based on how they dress. The results indicated that 4- and 6-year-olds identified a formally dressed individual as more knowledgeable about new things in general than a casually dressed one (Study 1). Moreover, children displayed an overall preference to seek help from a formally dressed individual rather than a casually dressed one when learning about novel objects and animals (Study 2). These findings are discussed in relation to the halo effect, and may have important implications for child educators regarding how instructor dress might influence young students’ knowledge attribution and learning preferences. PMID:26636980

A Theory of How Columns in the Neocortex Enable Learning the Structure of the World

PubMed Central

Hawkins, Jeff; Ahmad, Subutai; Cui, Yuwei

2017-01-01

Neocortical regions are organized into columns and layers. Connections between layers run mostly perpendicular to the surface suggesting a columnar functional organization. Some layers have long-range excitatory lateral connections suggesting interactions between columns. Similar patterns of connectivity exist in all regions but their exact role remain a mystery. In this paper, we propose a network model composed of columns and layers that performs robust object learning and recognition. Each column integrates its changing input over time to learn complete predictive models of observed objects. Excitatory lateral connections across columns allow the network to more rapidly infer objects based on the partial knowledge of adjacent columns. Because columns integrate input over time and space, the network learns models of complex objects that extend well beyond the receptive field of individual cells. Our network model introduces a new feature to cortical columns. We propose that a representation of location relative to the object being sensed is calculated within the sub-granular layers of each column. The location signal is provided as an input to the network, where it is combined with sensory data. Our model contains two layers and one or more columns. Simulations show that using Hebbian-like learning rules small single-column networks can learn to recognize hundreds of objects, with each object containing tens of features. Multi-column networks recognize objects with significantly fewer movements of the sensory receptors. Given the ubiquity of columnar and laminar connectivity patterns throughout the neocortex, we propose that columns and regions have more powerful recognition and modeling capabilities than previously assumed. PMID:29118696

Short-term motor learning through non-immersive virtual reality task in individuals with down syndrome.

PubMed

de Mello Monteiro, Carlos Bandeira; da Silva, Talita Dias; de Abreu, Luiz Carlos; Fregni, Felipe; de Araujo, Luciano Vieira; Ferreira, Fernando Henrique Inocêncio Borba; Leone, Claudio

2017-04-14

Down syndrome (DS) has unique physical, motor and cognitive characteristics. Despite cognitive and motor difficulties, there is a possibility of intervention based on the knowledge of motor learning. However, it is important to study the motor learning process in individuals with DS during a virtual reality task to justify the use of virtual reality to organize intervention programs. The aim of this study was to analyze the motor learning process in individuals with DS during a virtual reality task. A total of 40 individuals participated in this study, 20 of whom had DS (24 males and 8 females, mean age of 19 years, ranging between 14 and 30 yrs.) and 20 typically developing individuals (TD) who were matched by age and gender to the individuals with DS. To examine this issue, we used software that uses 3D images and reproduced a coincidence-timing task. The results showed that all individuals improved performance in the virtual task, but the individuals with DS that started the task with worse performance showed higher difference from the beginning. Besides that, they were able to retain and transfer the performance with increase of speed of the task. Individuals with DS are able to learn movements from virtual tasks, even though the movement time was higher compared to the TD individuals. The results showed that individuals with DS who started with low performance improved coincidence- timing task with virtual objects, but were less accurate than typically developing individuals. ClinicalTrials.gov Identifier: NCT02719600 .

Don't Leave Teaching to Chance: Learning Objectives for Psychodynamic Psychotherapy Supervision

ERIC Educational Resources Information Center

Rojas, Alicia; Arbuckle, Melissa; Cabaniss, Deborah

2010-01-01

Objective: The way in which the competencies for psychodynamic psychotherapy specified by the Psychiatry Residency Review Committee of the Accreditation Council for Graduate Medical Education translate into the day-to-day work of individual supervision remains unstudied and unspecified. The authors hypothesized that despite the existence of…

How to Individualize Mathematics Successfully: With Materials for Implementation.

ERIC Educational Resources Information Center

Vinskey, Mildred L.

Presented is a method for individualizing mathematics which utilizes the "Learning Activities Package" (LAP). LAP is a self-contained unit based on specific behavioral objectives which contains a pretest, a posttest, examples, explanations, and activities. The topics covered include but are not limited to: multiplication and division by powers of…

310 Individualized Teacher Practicum. Final Report, 1979-80.

ERIC Educational Resources Information Center

Barabe, Rosemeri, Comp.; And Others

Objectives and program descriptions are presented for the Scottsdale Adult Learning Center (Arizona) which in 1979-80 conducted a number of practicums for adult educators on individualized techniques, Adult Basic Education (ABE), High School Equivalency (GED), and English as a Second Language (ESL). First described is a paid internship program for…

Learning Visualization Strategies: A Qualitative Investigation

ERIC Educational Resources Information Center

Halpern, Daniel; Oh, Kyong Eun; Tremaine, Marilyn; Chiang, James; Bemis, Karen; Silver, Deborah

2015-01-01

The following study investigates the range of strategies individuals develop to infer and interpret cross-sections of three-dimensional objects. We focus on the identification of mental representations and problem-solving processes made by 11 individuals with the goal of building training applications that integrate the strategies developed by the…

Young macaques (Macaca fascicularis) preferentially bias attention towards closer, older, and better tool users.

PubMed

Tan, Amanda W Y; Hemelrijk, Charlotte K; Malaivijitnond, Suchinda; Gumert, Michael D

2018-05-12

Examining how animals direct social learning during skill acquisition under natural conditions, generates data for examining hypotheses regarding how transmission biases influence cultural change in animal populations. We studied a population of macaques on Koram Island, Thailand, and examined model-based biases during interactions by unskilled individuals with tool-using group members. We first compared the prevalence of interactions (watching, obtaining food, object exploration) and proximity to tool users during interactions, in developing individuals (infants, juveniles) versus mature non-learners (adolescents, adults), to provide evidence that developing individuals are actively seeking information about tool use from social partners. All infants and juveniles, but only 49% of mature individuals carried out interacted with tool users. Macaques predominantly obtained food by scrounging or stealing, suggesting maximizing scrounging opportunities motivates interactions with tool users. However, while interactions by adults was limited to obtaining food, young macaques and particularly infants also watched tool users and explored objects, indicating additional interest in tool use itself. We then ran matrix correlations to identify interaction biases, and what attributes of tool users influenced these. Biases correlated with social affiliation, but macaques also preferentially targeted tool users that potentially increase scrounging and learning opportunities. Results suggest that social structure may constrain social learning, but the motivation to bias interactions towards tool users to maximize feeding opportunities may also socially modulate learning by facilitating close proximity to better tool users, and further interest in tool-use actions and materials, especially during development.

Rapid response learning of brand logo priming: Evidence that brand priming is not dominated by rapid response learning.

PubMed

Boehm, Stephan G; Smith, Ciaran; Muench, Niklas; Noble, Kirsty; Atherton, Catherine

2017-08-31

Repetition priming increases the accuracy and speed of responses to repeatedly processed stimuli. Repetition priming can result from two complementary sources: rapid response learning and facilitation within perceptual and conceptual networks. In conceptual classification tasks, rapid response learning dominates priming of object recognition, but it does not dominate priming of person recognition. This suggests that the relative engagement of network facilitation and rapid response learning depends on the stimulus domain. Here, we addressed the importance of the stimulus domain for rapid response learning by investigating priming in another domain, brands. In three experiments, participants performed conceptual decisions for brand logos. Strong priming was present, but it was not dominated by rapid response learning. These findings add further support to the importance of the stimulus domain for the relative importance of network facilitation and rapid response learning, and they indicate that brand priming is more similar to person recognition priming than object recognition priming, perhaps because priming of both brands and persons requires individuation.

Sensorimotor memory of object weight distribution during multidigit grasp.

PubMed

Albert, Frederic; Santello, Marco; Gordon, Andrew M

2009-10-09

We studied the ability to transfer three-digit force sharing patterns learned through consecutive lifts of an object with an asymmetric center of mass (CM). After several object lifts, we asked subjects to rotate and translate the object to the contralateral hand and perform one additional lift. This task was performed under two weight conditions (550 and 950 g) to determine the extent to which subjects would be able to transfer weight and CM information. Learning transfer was quantified by measuring the extent to which force sharing patterns and peak object roll on the first post-translation trial resembled those measured on the pre-translation trial with the same CM. We found that the overall gain of fingertip forces was transferred following object rotation, but that the scaling of individual digit forces was specific to the learned digit-object configuration, and thus was not transferred following rotation. As a result, on the first post-translation trial there was a significantly larger object roll following object lift-off than on the pre-translation trial. This suggests that sensorimotor memories for weight, requiring scaling of fingertip force gain, may differ from memories for mass distribution.

Communicating shared knowledge in infancy.

PubMed

Egyed, Katalin; Király, Ildikó; Gergely, György

2013-07-01

Object-directed emotion expressions provide two types of information: They can convey the expressers' person-specific subjective disposition toward objects, or they can be used communicatively as referential symbolic devices to convey culturally shared valence-related knowledge about referents that can be generalized to other individuals. By presenting object-directed emotion expressions in communicative versus noncommunicative contexts, we demonstrated that 18-month-olds can flexibly assign either a person-centered interpretation or an object-centered interpretation to referential emotion displays. When addressed by ostensive signals of communication, infants generalized their object-centered interpretation of the emotion display to other individuals as well, whereas in the noncommunicative emotion-expression context, they attributed to the emoting agent a person-specific subjective dispositional attitude without generalizing this attribution as relevant to other individuals. The findings indicate that, as proposed by natural pedagogy theory, infants are prepared to learn shared cultural knowledge from nonverbal communicative demonstrations addressed to them at a remarkably early age.

Estimating learning outcomes from pre- and posttest student self-assessments: a longitudinal study.

PubMed

Schiekirka, Sarah; Reinhardt, Deborah; Beißbarth, Tim; Anders, Sven; Pukrop, Tobias; Raupach, Tobias

2013-03-01

Learning outcome is an important measure for overall teaching quality and should be addressed by comprehensive evaluation tools. The authors evaluated the validity of a novel evaluation tool based on student self-assessments, which may help identify specific strengths and weaknesses of a particular course. In 2011, the authors asked 145 fourth-year students at Göttingen Medical School to self-assess their knowledge on 33 specific learning objectives in a pretest and posttest as part of a cardiorespiratory module. The authors compared performance gain calculated from self-assessments with performance gain derived from formative examinations that were closely matched to these 33 learning objectives. Eighty-three students (57.2%) completed the assessment. There was good agreement between performance gain derived from subjective data and performance gain derived from objective examinations (Pearson r=0.78; P<.0001) on the group level. The association between the two measures was much weaker when data were analyzed on the individual level. Further analysis determined a quality cutoff for performance gain derived from aggregated student self-assessments. When using this cutoff, the evaluation tool was highly sensitive in identifying specific learning objectives with favorable or suboptimal objective performance gains. The tool is easy to implement, takes initial performance levels into account, and does not require extensive pre-post testing. By providing valid estimates of actual performance gain obtained during a teaching module, it may assist medical teachers in identifying strengths and weaknesses of a particular course on the level of specific learning objectives.

Web-based teaching video packages on anatomical education.

PubMed

Ozer, Mehmet Asim; Govsa, Figen; Bati, Ayse Hilal

2017-11-01

The aim of this study was to study the effect of web-based teaching video packages on medical students' satisfaction during gross anatomy education. The objective was to test the hypothesis that individual preference, which can be related to learning style, influences individual utilization of the video packages developed specifically for the undergraduate medical curriculum. Web-based teaching video packages consisting of Closed Circuit Audiovisual System and Distance Education of Anatomy were prepared. 54 informative application videos each lasting an average 12 min, competent with learning objectives have been prepared. 300 young adults of the medical school on applied anatomy education were evaluated in terms of their course content, exam performance and perceptions. A survey was conducted to determine the difference between the students who did not use teaching packages with those who used it during or after the lecture. A mean of 150 hits for each student per year was indicated. Academic performance of anatomy has been an increase of 10 points. Positive effects of the video packages on anatomy education have manifested on the survey conducted on students. The survey was compiled under twenty different items including effectiveness, providing education opportunity and affecting learning positively. Additionally, the difference was remarkable that the positive ideas of the second year students on learning were statistically significant from that of the third year students. Web-based video packages are helpful, definitive, easily accessible and affordable which enable students with different pace of learning to reach information simultaneously in equal conditions and increase the learning activity in crowded group lectures in cadaver labs. We conclude that personality/learning preferences of individual students influence their use of video packages in the medical curriculum.

Learning in the Knowledge Economy: The Role of Technology

ERIC Educational Resources Information Center

Jaffrin, Manuel

2003-01-01

Internet is not the panacea for every problem in education but we must realize that this is a great tool that can help us empower every student and elevate each individual to new levels of intellectual capacity and skills. Combined with specifics learning objectives, it will definitely change the face of education. Technology is becoming an…

Computational modeling of the neural representation of object shape in the primate ventral visual system

PubMed Central

Eguchi, Akihiro; Mender, Bedeho M. W.; Evans, Benjamin D.; Humphreys, Glyn W.; Stringer, Simon M.

2015-01-01

Neurons in successive stages of the primate ventral visual pathway encode the spatial structure of visual objects. In this paper, we investigate through computer simulation how these cell firing properties may develop through unsupervised visually-guided learning. Individual neurons in the model are shown to exploit statistical regularity and temporal continuity of the visual inputs during training to learn firing properties that are similar to neurons in V4 and TEO. Neurons in V4 encode the conformation of boundary contour elements at a particular position within an object regardless of the location of the object on the retina, while neurons in TEO integrate information from multiple boundary contour elements. This representation goes beyond mere object recognition, in which neurons simply respond to the presence of a whole object, but provides an essential foundation from which the brain is subsequently able to recognize the whole object. PMID:26300766

Learning from other people’s fear: amygdala-based social reference learning in social anxiety disorder

PubMed Central

Blair, K. S.; Otero, M.; Teng, C.; Geraci, M.; Lewis, E.; Hollon, N.; Blair, R. J. R.; Ernst, Monique; Grillon, C.; Pine, D. S.

2016-01-01

Background Social anxiety disorder involves fear of social objects or situations. Social referencing may play an important role in the acquisition of this fear and could be a key determinant in future biomarkers and treatment pathways. However, the neural underpinnings mediating such learning in social anxiety are unknown. Using event-related functional magnetic resonance imaging, we examined social reference learning in social anxiety disorder. Specifically, would patients with the disorder show increased amygdala activity during social reference learning, and further, following social reference learning, show particularly increased response to objects associated with other people’s negative reactions? Method A total of 32 unmedicated patients with social anxiety disorder and 22 age-, intelligence quotient- and gender-matched healthy individuals responded to objects that had become associated with others’ fearful, angry, happy or neutral reactions. Results During the social reference learning phase, a significant group × social context interaction revealed that, relative to the comparison group, the social anxiety group showed a significantly greater response in the amygdala, as well as rostral, dorsomedial and lateral frontal and parietal cortices during the social, relative to non-social, referencing trials. In addition, during the object test phase, relative to the comparison group, the social anxiety group showed increased bilateral amygdala activation to objects associated with others’ fearful reactions, and a trend towards decreased amygdala activation to objects associated with others’ happy and neutral reactions. Conclusions These results suggest perturbed observational learning in social anxiety disorder. In addition, they further implicate the amygdala and dorsomedial prefrontal cortex in the disorder, and underscore their importance in future biomarker developments. PMID:27476529

Motor learning from virtual reality to natural environments in individuals with Duchenne muscular dystrophy.

PubMed

Quadrado, Virgínia Helena; Silva, Talita Dias da; Favero, Francis Meire; Tonks, James; Massetti, Thais; Monteiro, Carlos Bandeira de Mello

2017-11-10

To examine whether performance improvements in the virtual environment generalize to the natural environment. we had 64 individuals, 32 of which were individuals with DMD and 32 were typically developing individuals. The groups practiced two coincidence timing tasks. In the more tangible button-press task, the individuals were required to 'intercept' a falling virtual object at the moment it reached the interception point by pressing a key on the computer. In the more abstract task, they were instructed to 'intercept' the virtual object by making a hand movement in a virtual environment using a webcam. For individuals with DMD, conducting a coincidence timing task in a virtual environment facilitated transfer to the real environment. However, we emphasize that a task practiced in a virtual environment should have higher rates of difficulties than a task practiced in a real environment. IMPLICATIONS FOR REHABILITATION Virtual environments can be used to promote improved performance in ?real-world? environments. Virtual environments offer the opportunity to create paradigms similar ?real-life? tasks, however task complexity and difficulty levels can be manipulated, graded and enhanced to increase likelihood of success in transfer of learning and performance. Individuals with DMD, in particular, showed immediate performance benefits after using virtual reality.

Aversive Learning Modulates Cortical Representations of Object Categories

PubMed Central

Dunsmoor, Joseph E.; Kragel, Philip A.; Martin, Alex; LaBar, Kevin S.

2014-01-01

Experimental studies of conditioned learning reveal activity changes in the amygdala and unimodal sensory cortex underlying fear acquisition to simple stimuli. However, real-world fears typically involve complex stimuli represented at the category level. A consequence of category-level representations of threat is that aversive experiences with particular category members may lead one to infer that related exemplars likewise pose a threat, despite variations in physical form. Here, we examined the effect of category-level representations of threat on human brain activation using 2 superordinate categories (animals and tools) as conditioned stimuli. Hemodynamic activity in the amygdala and category-selective cortex was modulated by the reinforcement contingency, leading to widespread fear of different exemplars from the reinforced category. Multivariate representational similarity analyses revealed that activity patterns in the amygdala and object-selective cortex were more similar among exemplars from the threat versus safe category. Learning to fear animate objects was additionally characterized by enhanced functional coupling between the amygdala and fusiform gyrus. Finally, hippocampal activity co-varied with object typicality and amygdala activation early during training. These findings provide novel evidence that aversive learning can modulate category-level representations of object concepts, thereby enabling individuals to express fear to a range of related stimuli. PMID:23709642

Repeated learning makes cultural evolution unique

PubMed Central

Strimling, Pontus; Enquist, Magnus; Eriksson, Kimmo

2009-01-01

Although genetic information is acquired only once, cultural information can be both abandoned and reacquired during an individual's lifetime. Therefore, cultural evolution will be determined not only by cultural traits' ability to spread but also by how good they are at sticking with an individual; however, the evolutionary consequences of this aspect of culture have not previously been explored. Here we show that repeated learning and multiple characteristics of cultural traits make cultural evolution unique, allowing dynamical phenomena we can recognize as specifically cultural, such as traits that both spread quickly and disappear quickly. Importantly, the analysis of our model also yields a theoretical objection to the popular suggestion that biological and cultural evolution can be understood in similar terms. We find that the possibility to predict long-term cultural evolution by some success index, analogous to biological fitness, depends on whether individuals have few or many opportunities to learn. If learning opportunities are few, we find that the existence of a success index may be logically impossible, rendering notions of “cultural fitness” meaningless. On the other hand, if individuals can learn many times, we find a success index that works, regardless of whether the transmission pattern is vertical, oblique, or horizontal. PMID:19666615

Establishing the LINC (Learning Individualized for Canadians) Program: A Manual for Administrators and Instructors.

ERIC Educational Resources Information Center

Tippett, Glen; Mullen, Vernon

A manual to accompany LINC courses in communications and mathematics, containing information on background, objectives, components, individualized process, and procedures for curriculum development and implementation of LINC Program, is presented. It was formerly referred to as The LINC Program User's Manual. An appendix includes a Reading List…

Individualized Instruction and Unipacs.

ERIC Educational Resources Information Center

Kohut, Sylvester, Jr.

Individualized instruction is an educational program in which grade levels and time units are designed to permit the student to work at his own pace and level with the use of unipacs. The unipac, a "unique package," is a specially designed group of learning activities based on specific behavioral objectives chosen by the student. Unipacs consist…

Real-Time Indoor Scene Description for the Visually Impaired Using Autoencoder Fusion Strategies with Visible Cameras.

PubMed

Malek, Salim; Melgani, Farid; Mekhalfi, Mohamed Lamine; Bazi, Yakoub

2017-11-16

This paper describes three coarse image description strategies, which are meant to promote a rough perception of surrounding objects for visually impaired individuals, with application to indoor spaces. The described algorithms operate on images (grabbed by the user, by means of a chest-mounted camera), and provide in output a list of objects that likely exist in his context across the indoor scene. In this regard, first, different colour, texture, and shape-based feature extractors are generated, followed by a feature learning step by means of AutoEncoder (AE) models. Second, the produced features are fused and fed into a multilabel classifier in order to list the potential objects. The conducted experiments point out that fusing a set of AE-learned features scores higher classification rates with respect to using the features individually. Furthermore, with respect to reference works, our method: (i) yields higher classification accuracies, and (ii) runs (at least four times) faster, which enables a potential full real-time application.

Younger and Older Adults Weigh Multiple Cues in a Similar Manner to Generate Judgments of Learning

PubMed Central

Hines, Jarrod C.; Hertzog, Christopher; Touron, Dayna R.

2015-01-01

One's memory for past test performance (MPT) is a key piece of information individuals use when deciding how to restudy material. We used a multi-trial recognition memory task to examine adult age differences in the influence of MPT (measured by actual Trial 1 memory accuracy and subjective confidence judgments, CJs) along with Trial 1 judgments of learning (JOLs), objective and participant-estimated recognition fluencies, and Trial 2 study time on Trial 2 JOLs. We found evidence of simultaneous and independent influences of multiple objective and subjective (i.e., metacognitive) cues on Trial 2 JOLs, and these relationships were highly similar for younger and older adults. Individual differences in Trial 1 recognition accuracy and CJs on Trial 2 JOLs indicate that individuals may vary in the degree to which they rely on each MPT cue when assessing subsequent memory confidence. Aging appears to spare the ability to access multiple cues when making JOLs. PMID:25827630

Holistic processing from learned attention to parts.

PubMed

Chua, Kao-Wei; Richler, Jennifer J; Gauthier, Isabel

2015-08-01

Attention helps us focus on what is most relevant to our goals, and prior work has shown that aspects of attention can be learned. Learned inattention to parts can abolish holistic processing of faces, but it is unknown whether learned attention to parts is sufficient to cause a change from part-based to holistic processing with objects. We trained subjects to individuate nonface objects (Greebles) from 2 categories: Ploks and Glips. Diagnostic information was in complementary halves for the 2 categories. Holistic processing was then tested with Plok-Glip composites that combined the kind of part that was diagnostic or nondiagnostic during training. Exposure to Greeble parts resulted in general failures of selective attention for nondiagnostic composites, but face-like holistic processing was only observed for diagnostic composites. These results demonstrated a novel link between learned attentional control and the acquisition of holistic processing. (c) 2015 APA, all rights reserved).

Individual and social learning processes involved in the acquisition and generalization of tool use in macaques

PubMed Central

Macellini, S.; Maranesi, M.; Bonini, L.; Simone, L.; Rozzi, S.; Ferrari, P. F.; Fogassi, L.

2012-01-01

Macaques can efficiently use several tools, but their capacity to discriminate the relevant physical features of a tool and the social factors contributing to their acquisition are still poorly explored. In a series of studies, we investigated macaques' ability to generalize the use of a stick as a tool to new objects having different physical features (study 1), or to new contexts, requiring them to adapt the previously learned motor strategy (study 2). We then assessed whether the observation of a skilled model might facilitate tool-use learning by naive observer monkeys (study 3). Results of study 1 and study 2 showed that monkeys trained to use a tool generalize this ability to tools of different shape and length, and learn to adapt their motor strategy to a new task. Study 3 demonstrated that observing a skilled model increases the observers' manipulations of a stick, thus facilitating the individual discovery of the relevant properties of this object as a tool. These findings support the view that in macaques, the motor system can be modified through tool use and that it has a limited capacity to adjust the learnt motor skills to a new context. Social factors, although important to facilitate the interaction with tools, are not crucial for tool-use learning. PMID:22106424

Evidence for kind representations in the absence of language: experiments with rhesus monkeys (Macaca mulatta).

PubMed

Phillips, Webb; Santos, Laurie R

2007-03-01

How do we come to recognize and represent different kinds of objects in the world? Some developmental psychologists have hypothesized that learning language plays a crucial role in this capacity. If this hypothesis were correct, then non-linguistic animals should lack the capacity to represent objects as kinds. Previous research with rhesus monkeys (Macaca mulatta) has shown that this species can successfully individuate different kinds of objects - monkeys who saw one kind of object hidden inside a box searched longer after finding a different kind of object. However, in these studies and the infant studies on which they were based, the objects to be individuated differed both in kind and in properties. Thus, subjects in these experiments may not be representing the kinds of objects per se, but instead only their immediate perceptual properties. Here, we show that rhesus monkeys successfully individuate different kinds of objects even when their perceptual properties are held constant. Although these data provide the best evidence to date that language is not necessary to represent kinds, we discuss our findings in terms of possible associative hypotheses as well.

Teaching as Coaching: A Case Study of Awareness and Learning in Engineering Education

ERIC Educational Resources Information Center

Gynnild, Vidar; Holstad, Anders; Myrhaug, Dag

2007-01-01

This paper presents a number of case studies in Oceanography, an optional module in the third/fourth year of a Master of Science programme at Norwegian University of Science and Technology. The main objective was to gain more thorough insights into student learning by examining two sets of individual oral examinations. In addition, all students…

Stimulus-Reward Association and Reversal Learning in Individuals with Asperger Syndrome

ERIC Educational Resources Information Center

Zalla, Tiziana; Sav, Anca-Maria; Leboyer, Marion

2009-01-01

In the present study, performance of a group of adults with Asperger Syndrome (AS) on two series of object reversal and extinction was compared with that of a group of adults with typical development. Participants were requested to learn a stimulus-reward association rule and monitor changes in reward value of stimuli in order to gain as many…

vPELS: An E-Learning Social Environment for VLSI Design with Content Security Using DRM

ERIC Educational Resources Information Center

Dewan, Jahangir; Chowdhury, Morshed; Batten, Lynn

2014-01-01

This article provides a proposal for personal e-learning system (vPELS [where "v" stands for VLSI: very large scale integrated circuit])) architecture in the context of social network environment for VLSI Design. The main objective of vPELS is to develop individual skills on a specific subject--say, VLSI--and share resources with peers.…

Learning Activity Packets for High School Social Studies, American Studies, American History and Low Achieving Students. Course I.

ERIC Educational Resources Information Center

Seif, Elliott

The document presents student learning packets designed to provide an alternative social studies experience for high school students. The objective is to enable students to better understand themselves and their environment and other individuals and groups. Written at a junior high school reading level, the packets are intended to be used with low…

The effect of two types of memory training on subjective and objective memory performance in healthy individuals aged 55 years and older: a randomized controlled trial.

PubMed

Valentijn, Susanne A M; van Hooren, Susan A H; Bosma, Hans; Touw, Dory M; Jolles, Jelle; van Boxtel, Martin P J; Ponds, Rudolf W H M

2005-04-01

The objective of the study was to examine the effectiveness of two types of memory training (collective and individual), compared to control (waiting list), on memory performance. Participants were 139 community-dwelling older individuals recruited through media advertisements asking for people with subjective memory complaints to participate in a study. Data were collected at baseline, and at 1 week and 4 months after the intervention. Training efficacy was assessed using measures of subjective and objective memory performance. After the intervention, participants in the collective training group reported more stability in memory functioning and had fewer feelings of anxiety and stress about memory functioning. In addition, positive effects were found on objective memory functioning. Compared with the other two groups, the collective training group participants had an improved recall of a previously learned word list. Compared to controls, participants in the individual training group reported fewer feelings of anxiety and stress in relation to memory functioning.

From Doing to Learning: Changed focus during a pre-school learning study project on organic decomposition

NASA Astrophysics Data System (ADS)

Ljung-Djärf, Agneta; Magnusson, Andreas; Peterson, Sam

2014-03-01

We explored the use of the learning study (LS) model in developing Swedish pre-school science learning. This was done by analysing a 3-cycle LS project implemented to help a group of pre-school teachers (n = 5) understand their science educational practice, by collaboratively and systematically challenging it. Data consisted of video recordings of 1 screening (n = 7), 1 initial planning meeting, 3 analysis meetings, 3 interventions, and 78 individual test interviews with the children (n = 26). The study demonstrated that the teachers were initially uncomfortable with using scientific concepts and with maintaining the children's focus on the object of learning without framing it with play. During the project, we noted a shift in focus towards the object of learning and how to get the children to discern it. As teachers' awareness changed, enhanced learning was noted among the children. The study suggests that the LS model can promote pre-school science learning as follows: by building on, re-evaluating, and expanding children's experiences; and by helping the teachers focus on and contrast critical aspects of an object of learning, and to reflect on the use of play, imagination, and concepts and on directing the children's focus when doing so. Our research showed that the LS model holds promise to advance pre-school science learning by offering a theoretical tool useable to shift the focus from doing to learning while teaching science using learning activities.

Individualizing the Teaching of Reading through Test Management Systems.

ERIC Educational Resources Information Center

Fry, Edward

Test management systems are suggested for individualizing the teaching of reading in the elementary classroom. Test management systems start with a list of objectives or specific goals which cover all or some major areas of the learning to read process. They then develop a large number of criterion referenced tests which match the skill areas at…

Elective Self-Care Course Emphasizing Critical Reasoning Principles

PubMed Central

2011-01-01

Objectives. To create, implement, and assess a self-directed online course based on 3 critical reasoning principles to develop pharmacy students’ skills in literature appraisal, content, metacognition, and assessment. Design. Students completed 3 assignments for the course: compile a literature appraisal on a healthcare topic; plan learning objectives and meta-cognitive skills for a learning module; and create a case-based online lesson with multi-structured feedback. Assessment. An online exit survey evaluated students’ perceptions regarding development of ACE (agency, collaboration, expertise) principles and preparation for competency. Students reported acquisition of ACE principles and noted improvements in their learning approaches, sense of responsibility for individual and community learning, skills, and confidence. Conclusions. An online elective course in self-care addressed practice standards for patient safety, maintenance of competency, and interprofessional education by emphasizing critical reasoning skills. PMID:22171110

Where’s Waldo? How perceptual, cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene

PubMed Central

Chang, Hung-Cheng; Grossberg, Stephen; Cao, Yongqiang

2014-01-01

The Where’s Waldo problem concerns how individuals can rapidly learn to search a scene to detect, attend, recognize, and look at a valued target object in it. This article develops the ARTSCAN Search neural model to clarify how brain mechanisms across the What and Where cortical streams are coordinated to solve the Where’s Waldo problem. The What stream learns positionally-invariant object representations, whereas the Where stream controls positionally-selective spatial and action representations. The model overcomes deficiencies of these computationally complementary properties through What and Where stream interactions. Where stream processes of spatial attention and predictive eye movement control modulate What stream processes whereby multiple view- and positionally-specific object categories are learned and associatively linked to view- and positionally-invariant object categories through bottom-up and attentive top-down interactions. Gain fields control the coordinate transformations that enable spatial attention and predictive eye movements to carry out this role. What stream cognitive-emotional learning processes enable the focusing of motivated attention upon the invariant object categories of desired objects. What stream cognitive names or motivational drives can prime a view- and positionally-invariant object category of a desired target object. A volitional signal can convert these primes into top-down activations that can, in turn, prime What stream view- and positionally-specific categories. When it also receives bottom-up activation from a target, such a positionally-specific category can cause an attentional shift in the Where stream to the positional representation of the target, and an eye movement can then be elicited to foveate it. These processes describe interactions among brain regions that include visual cortex, parietal cortex, inferotemporal cortex, prefrontal cortex (PFC), amygdala, basal ganglia (BG), and superior colliculus (SC). PMID:24987339

Detection of dominant flow and abnormal events in surveillance video

NASA Astrophysics Data System (ADS)

Kwak, Sooyeong; Byun, Hyeran

2011-02-01

We propose an algorithm for abnormal event detection in surveillance video. The proposed algorithm is based on a semi-unsupervised learning method, a kind of feature-based approach so that it does not detect the moving object individually. The proposed algorithm identifies dominant flow without individual object tracking using a latent Dirichlet allocation model in crowded environments. It can also automatically detect and localize an abnormally moving object in real-life video. The performance tests are taken with several real-life databases, and their results show that the proposed algorithm can efficiently detect abnormally moving objects in real time. The proposed algorithm can be applied to any situation in which abnormal directions or abnormal speeds are detected regardless of direction.

Learning Sequences of Actions in Collectives of Autonomous Agents

NASA Technical Reports Server (NTRS)

Turner, Kagan; Agogino, Adrian K.; Wolpert, David H.; Clancy, Daniel (Technical Monitor)

2001-01-01

In this paper we focus on the problem of designing a collective of autonomous agents that individually learn sequences of actions such that the resultant sequence of joint actions achieves a predetermined global objective. We are particularly interested in instances of this problem where centralized control is either impossible or impractical. For single agent systems in similar domains, machine learning methods (e.g., reinforcement learners) have been successfully used. However, applying such solutions directly to multi-agent systems often proves problematic, as agents may work at cross-purposes, or have difficulty in evaluating their contribution to achievement of the global objective, or both. Accordingly, the crucial design step in multiagent systems centers on determining the private objectives of each agent so that as the agents strive for those objectives, the system reaches a good global solution. In this work we consider a version of this problem involving multiple autonomous agents in a grid world. We use concepts from collective intelligence to design goals for the agents that are 'aligned' with the global goal, and are 'learnable' in that agents can readily see how their behavior affects their utility. We show that reinforcement learning agents using those goals outperform both 'natural' extensions of single agent algorithms and global reinforcement, learning solutions based on 'team games'.

[Therapeutic education didactic techniques].

PubMed

Valverde, Maite; Vidal, Mercè; Jansa, Margarida

2012-10-01

This article includes an introduction to the role of Therapeutic Education for Diabetes treatment according to the recommendations of the American Diabetes Association (ADA), the Diabetes Education Study Group (DESG) of the "European Association for Study of Diabetes (EASD) and the clinical Practice Guidelines (CPG) of the Spanish Ministry of Health. We analyze theoretical models and the differences between teaching vs. learning as well as current trends (including Internet), that can facilitate meaningful learning of people with diabetes and their families and relatives. We analyze the differences, similarities, advantages and disadvantages of individual and group education. Finally, we describe different educational techniques (metaplan, case method, brainstorming, role playing, games, seminars, autobiography, forums, chats,..) applicable to individual, group or virtual education and its application depending on the learning objective.

Resting-state low-frequency fluctuations reflect individual differences in spoken language learning.

PubMed

Deng, Zhizhou; Chandrasekaran, Bharath; Wang, Suiping; Wong, Patrick C M

2016-03-01

A major challenge in language learning studies is to identify objective, pre-training predictors of success. Variation in the low-frequency fluctuations (LFFs) of spontaneous brain activity measured by resting-state functional magnetic resonance imaging (RS-fMRI) has been found to reflect individual differences in cognitive measures. In the present study, we aimed to investigate the extent to which initial spontaneous brain activity is related to individual differences in spoken language learning. We acquired RS-fMRI data and subsequently trained participants on a sound-to-word learning paradigm in which they learned to use foreign pitch patterns (from Mandarin Chinese) to signal word meaning. We performed amplitude of spontaneous low-frequency fluctuation (ALFF) analysis, graph theory-based analysis, and independent component analysis (ICA) to identify functional components of the LFFs in the resting-state. First, we examined the ALFF as a regional measure and showed that regional ALFFs in the left superior temporal gyrus were positively correlated with learning performance, whereas ALFFs in the default mode network (DMN) regions were negatively correlated with learning performance. Furthermore, the graph theory-based analysis indicated that the degree and local efficiency of the left superior temporal gyrus were positively correlated with learning performance. Finally, the default mode network and several task-positive resting-state networks (RSNs) were identified via the ICA. The "competition" (i.e., negative correlation) between the DMN and the dorsal attention network was negatively correlated with learning performance. Our results demonstrate that a) spontaneous brain activity can predict future language learning outcome without prior hypotheses (e.g., selection of regions of interest--ROIs) and b) both regional dynamics and network-level interactions in the resting brain can account for individual differences in future spoken language learning success. Copyright © 2015 Elsevier Ltd. All rights reserved.

Resting-state low-frequency fluctuations reflect individual differences in spoken language learning

PubMed Central

Deng, Zhizhou; Chandrasekaran, Bharath; Wang, Suiping; Wong, Patrick C.M.

2016-01-01

A major challenge in language learning studies is to identify objective, pre-training predictors of success. Variation in the low-frequency fluctuations (LFFs) of spontaneous brain activity measured by resting-state functional magnetic resonance imaging (RS-fMRI) has been found to reflect individual differences in cognitive measures. In the present study, we aimed to investigate the extent to which initial spontaneous brain activity is related to individual differences in spoken language learning. We acquired RS-fMRI data and subsequently trained participants on a sound-to-word learning paradigm in which they learned to use foreign pitch patterns (from Mandarin Chinese) to signal word meaning. We performed amplitude of spontaneous low-frequency fluctuation (ALFF) analysis, graph theory-based analysis, and independent component analysis (ICA) to identify functional components of the LFFs in the resting-state. First, we examined the ALFF as a regional measure and showed that regional ALFFs in the left superior temporal gyrus were positively correlated with learning performance, whereas ALFFs in the default mode network (DMN) regions were negatively correlated with learning performance. Furthermore, the graph theory-based analysis indicated that the degree and local efficiency of the left superior temporal gyrus were positively correlated with learning performance. Finally, the default mode network and several task-positive resting-state networks (RSNs) were identified via the ICA. The “competition” (i.e., negative correlation) between the DMN and the dorsal attention network was negatively correlated with learning performance. Our results demonstrate that a) spontaneous brain activity can predict future language learning outcome without prior hypotheses (e.g., selection of regions of interest – ROIs) and b) both regional dynamics and network-level interactions in the resting brain can account for individual differences in future spoken language learning success. PMID:26866283

A new vision for distance learning and continuing medical education.

PubMed

Harden, Ronald M

2005-01-01

Increasing demands on continuing medical education (CME) are taking place at a time of significant developments in educational thinking and new learning technologies. Such developments allow today's CME providers to better meet the CRISIS criteria for effective continuing education: convenience, relevance, individualization, self-assessment, independent learning, and a systematic approach. The International Virtual Medical School (IVIMEDS) provides a case study that illustrates how rapid growth of the Internet and e-learning can alter undergraduate education and has the potential to alter the nature of CME. Key components are a bank of reusable learning objects, a virtual practice with virtual patients, a learning-outcomes framework, and self-assessment instruments. Learning is facilitated by a curriculum map, guided-learning resources, "ask-the-expert" opportunities, and collaborative or peer-to-peer learning. The educational philosophy is "just-for-you" learning (learning customized to the content, educational strategy, and distribution needs of the individual physician) and "just-in-time" learning (learning resources available to physicians when they are required). Implications of the new learning technologies are profound. E-learning provides a bridge between the cutting edge of education and training and outdated procedures embedded in institutions and professional organizations. There are important implications, too, for globalization in medical education, for multiprofessional education, and for the continuum of education from undergraduate to postgraduate and continuing education.

A Bootstrapping Model of Frequency and Context Effects in Word Learning.

PubMed

Kachergis, George; Yu, Chen; Shiffrin, Richard M

2017-04-01

Prior research has shown that people can learn many nouns (i.e., word-object mappings) from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing some word-referent pairs to appear more frequently than others, as is true in real-world learning environments. Surprisingly, high-frequency pairs are not always learned better, but can also boost learning of other pairs. Using a recent associative model (Kachergis, Yu, & Shiffrin, 2012), we explain how mixing pairs of different frequencies can bootstrap late learning of the low-frequency pairs based on early learning of higher frequency pairs. We also manipulate contextual diversity, the number of pairs a given pair appears with across training, since it is naturalistically confounded with frequency. The associative model has competing familiarity and uncertainty biases, and their interaction is able to capture the individual and combined effects of frequency and contextual diversity on human learning. Two other recent word-learning models do not account for the behavioral findings. Copyright © 2016 Cognitive Science Society, Inc.

Bricklayer and Stonemason. U.S.O.E. 46.0102 D.O.T. 861.381, 861.781, 861.884. Student's Manual [and] Instructor's Guide.

ERIC Educational Resources Information Center

Grimes, L. A., Jr.

The student's manual in this two-part instructional kit is designed to help students in individualized courses in bricklaying and stone masonry to tie together classroom learning and on-the-job practice. The manual includes assignments, technical information, objectives that tell what the student is to learn from each assignment, and exercise…

Undergraduate allergy teaching in a UK medical school: comparison of the described and delivered curriculum.

PubMed

Shehata, Yasser; Ross, Michael; Sheikh, Aziz

2007-02-01

Concerns have been raised about the adequacy of allergy teaching in UK undergraduate medical curricula. Our previous work, which involved undertaking a systematic analysis of the documented curricular learning objectives relating to allergy teaching in a UK medical school, found references to allergy teaching in each of the five years of study but also identified some apparent omissions in allergy teaching. These may represent actual gaps in relation to allergy training, or alternatively may reflect dissonance between the described and delivered curricula. To compare the described and delivered undergraduate curricula on allergy and allergy-related topics in a UK medical school. We identified and e-mailed the individuals responsible for each of the 43 modules in the five-year undergraduate medical programme at the University of Edinburgh, enquiring about the delivery of allergy-related teaching within their modules. We then compared these responses with the results of the previous study mapping allergy-related teaching across the undergraduate curriculum. Fifty-one individuals were identified as being responsible for leading the 43 modules in the curriculum. Forty-nine (96%) of these module organisers responded to our enquiry; these individuals represented 41 of the 43 modules (95%). Module organisers reported that allergy-related teaching and learning was delivered in 14 modules (33%), was absent in 13 (30%) modules, and may occur to varying degrees within a further 10 (23%) modules. Module organisers' responses about the delivered curriculum on allergy were consistent with the findings from documented learning objectives in 21 (49%) modules. They also reported allergy teaching and learning in modules which had not been identified by examination of the learning objectives; however, there were still important gaps in the allergy-related curriculum. Information gathered from teaching staff confirms that specific teaching and learning on allergic disorders is currently being delivered in all five years of the undergraduate curriculum. However, comparison between the described and delivered curricula on allergy revealed discrepancies highlighting the complex nature of the undergraduate curriculum and the difficulties involved in mapping specific teaching themes within them. This assessment has revealed gaps in allergy training which need to be addressed.

Consider the category: The effect of spacing depends on individual learning histories.

PubMed

Slone, Lauren K; Sandhofer, Catherine M

2017-07-01

The spacing effect refers to increased retention following learning instances that are spaced out in time compared with massed together in time. By one account, the advantages of spaced learning should be independent of task particulars and previous learning experiences given that spacing effects have been demonstrated in a variety of tasks across the lifespan. However, by another account, spaced learning should be affected by previous learning because past learning affects the memory and attention processes that form the crux of the spacing effect. The current study investigated whether individuals' learning histories affect the role of spacing in category learning. We examined the effect of spacing on 24 2- to 3.5-year-old children's learning of categories organized by properties to which children's previous learning experiences have biased them to attend (i.e., shape) and properties to which children are less biased to attend (i.e., texture and color). Spaced presentations led to significantly better learning of shape categories, but not of texture or color categories, compared with massed presentations. In addition, generalized estimating equations analyses revealed positive relations between the size of children's "shape-side" productive vocabularies and their shape category learning and between the size of children's "against-the-system" productive vocabularies and their texture category learning. These results suggest that children's attention to and memory for novel object categories are strongly related to their individual word-learning histories. Moreover, children's learned attentional biases affected the types of categories for which spacing facilitated learning. These findings highlight the importance of considering how learners' previous experiences may influence future learning. Copyright © 2017 Elsevier Inc. All rights reserved.

Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks

NASA Astrophysics Data System (ADS)

Yan, Fengxia; Udupa, Jayaram K.; Tong, Yubing; Xu, Guoping; Odhner, Dewey; Torigian, Drew A.

2018-03-01

The recently developed body-wide Automatic Anatomy Recognition (AAR) methodology depends on fuzzy modeling of individual objects, hierarchically arranging objects, constructing an anatomy ensemble of these models, and a dichotomous object recognition-delineation process. The parent-to-offspring spatial relationship in the object hierarchy is crucial in the AAR method. We have found this relationship to be quite complex, and as such any improvement in capturing this relationship information in the anatomy model will improve the process of recognition itself. Currently, the method encodes this relationship based on the layout of the geometric centers of the objects. Motivated by the concept of virtual landmarks (VLs), this paper presents a new one-shot AAR recognition method that utilizes the VLs to learn object relationships by training a neural network to predict the pose and the VLs of an offspring object given the VLs of the parent object in the hierarchy. We set up two neural networks for each parent-offspring object pair in a body region, one for predicting the VLs and another for predicting the pose parameters. The VL-based learning/prediction method is evaluated on two object hierarchies involving 14 objects. We utilize 54 computed tomography (CT) image data sets of head and neck cancer patients and the associated object contours drawn by dosimetrists for routine radiation therapy treatment planning. The VL neural network method is found to yield more accurate object localization than the currently used simple AAR method.

Hebbian learning of hand-centred representations in a hierarchical neural network model of the primate visual system.

PubMed

Born, Jannis; Galeazzi, Juan M; Stringer, Simon M

2017-01-01

A subset of neurons in the posterior parietal and premotor areas of the primate brain respond to the locations of visual targets in a hand-centred frame of reference. Such hand-centred visual representations are thought to play an important role in visually-guided reaching to target locations in space. In this paper we show how a biologically plausible, Hebbian learning mechanism may account for the development of localized hand-centred representations in a hierarchical neural network model of the primate visual system, VisNet. The hand-centered neurons developed in the model use an invariance learning mechanism known as continuous transformation (CT) learning. In contrast to previous theoretical proposals for the development of hand-centered visual representations, CT learning does not need a memory trace of recent neuronal activity to be incorporated in the synaptic learning rule. Instead, CT learning relies solely on a Hebbian learning rule, which is able to exploit the spatial overlap that naturally occurs between successive images of a hand-object configuration as it is shifted across different retinal locations due to saccades. Our simulations show how individual neurons in the network model can learn to respond selectively to target objects in particular locations with respect to the hand, irrespective of where the hand-object configuration occurs on the retina. The response properties of these hand-centred neurons further generalise to localised receptive fields in the hand-centred space when tested on novel hand-object configurations that have not been explored during training. Indeed, even when the network is trained with target objects presented across a near continuum of locations around the hand during training, the model continues to develop hand-centred neurons with localised receptive fields in hand-centred space. With the help of principal component analysis, we provide the first theoretical framework that explains the behavior of Hebbian learning in VisNet.

Hebbian learning of hand-centred representations in a hierarchical neural network model of the primate visual system

PubMed Central

Born, Jannis; Stringer, Simon M.

2017-01-01

A subset of neurons in the posterior parietal and premotor areas of the primate brain respond to the locations of visual targets in a hand-centred frame of reference. Such hand-centred visual representations are thought to play an important role in visually-guided reaching to target locations in space. In this paper we show how a biologically plausible, Hebbian learning mechanism may account for the development of localized hand-centred representations in a hierarchical neural network model of the primate visual system, VisNet. The hand-centered neurons developed in the model use an invariance learning mechanism known as continuous transformation (CT) learning. In contrast to previous theoretical proposals for the development of hand-centered visual representations, CT learning does not need a memory trace of recent neuronal activity to be incorporated in the synaptic learning rule. Instead, CT learning relies solely on a Hebbian learning rule, which is able to exploit the spatial overlap that naturally occurs between successive images of a hand-object configuration as it is shifted across different retinal locations due to saccades. Our simulations show how individual neurons in the network model can learn to respond selectively to target objects in particular locations with respect to the hand, irrespective of where the hand-object configuration occurs on the retina. The response properties of these hand-centred neurons further generalise to localised receptive fields in the hand-centred space when tested on novel hand-object configurations that have not been explored during training. Indeed, even when the network is trained with target objects presented across a near continuum of locations around the hand during training, the model continues to develop hand-centred neurons with localised receptive fields in hand-centred space. With the help of principal component analysis, we provide the first theoretical framework that explains the behavior of Hebbian learning in VisNet. PMID:28562618

Social cognition in schizophrenia and healthy aging: differences and similarities.

PubMed

Silver, Henry; Bilker, Warren B

2014-12-01

Social cognition is impaired in schizophrenia but it is not clear whether this is specific for the illness and whether emotion perception is selectively affected. To study this we examined the perception of emotional and non-emotional clues in facial expressions, a key social cognitive skill, in schizophrenia patients and old healthy individuals using young healthy individuals as reference. Tests of object recognition, visual orientation, psychomotor speed, and working memory were included to allow multivariate analysis taking into account other cognitive functions Schizophrenia patients showed impairments in recognition of identity and emotional facial clues compared to young and old healthy groups. Severity was similar to that for object recognition and visuospatial processing. Older and younger healthy groups did not differ from each other on these tests. Schizophrenia patients and old healthy individuals were similarly impaired in the ability to automatically learn new faces during the testing procedure (measured by the CSTFAC index) compared to young healthy individuals. Social cognition is distinctly impaired in schizophrenia compared to healthy aging. Further study is needed to identify the mechanisms of automatic social cognitive learning impairment in schizophrenia patients and healthy aging individuals and determine whether similar neural systems are affected. Copyright © 2014 Elsevier B.V. All rights reserved.

Remedial training for the radiology resident: a template for optimization of the learning plan.

PubMed

Mar, Colin; Chang, Silvia; Forster, Bruce

2015-02-01

All radiology residency programs should strive for the early identification of individuals in need of remedial training and have an approach ready to address this situation. This article provides a template for a step-by-step approach which is team based. It includes definition of the learning or performance issues, creation of suitable learning objectives and learning plan, facilitation of feedback and assessment, and definition of outcomes. Using such a template will assist the resident in returning to the path toward a safe and competent radiologist. Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Competency-based goals, objectives, and linked evaluations for rheumatology training programs: a standardized template of learning activities from the Carolinas Fellows Collaborative.

PubMed

Criscione-Schreiber, Lisa G; Bolster, Marcy B; Jonas, Beth L; O'Rourke, Kenneth S

2013-06-01

American Council on Graduate Medical Education program requirements mandate that rheumatology training programs have written goals, objectives, and performance evaluations for each learning activity. Since learning activities are similar across rheumatology programs, we aimed to create competency-based goals and objectives (CBGO) and evaluations that would be generalizable nationally. Through an established collaboration of the 4 training programs' directors in North Carolina and South Carolina, we collaboratively composed CBGO and evaluations for each learning activity for rheumatology training programs. CBGO and linked evaluations were written using appropriate verbs based on Bloom's taxonomy. Draft documents were peer reviewed by faculty at the 4 institutions and by members of the American College of Rheumatology (ACR) Clinician Scholar Educator Group. We completed templates of CBGO for core and elective rotations and conferences. Templates detail progressive fellow performance improvement appropriate to educational level. Specific CBGO are mirrored in learning activity evaluations. Templates are easily modified to fit individual program attributes, have been successfully implemented by our 4 programs, and have proven their value in 4 residency review committee reviews. We propose adoption of these template CBGO by the ACR, with access available to all rheumatology training programs. Evaluation forms that exactly reflect stated objectives ensure that trainees are assessed using standardized measures and that trainees are aware of the learning expectations. The objectives mirrored in the evaluations closely align with the proposed milestones for internal medicine training, and will therefore be a useful starting point for creating these milestones in rheumatology. Copyright © 2013 by the American College of Rheumatology.

Sex differences in navigation strategy and efficiency.

PubMed

Boone, Alexander P; Gong, Xinyi; Hegarty, Mary

2018-05-22

Research on human navigation has indicated that males and females differ in self-reported navigation strategy as well as objective measures of navigation efficiency. In two experiments, we investigated sex differences in navigation strategy and efficiency using an objective measure of strategy, the dual-solution paradigm (DSP; Marchette, Bakker, & Shelton, 2011). Although navigation by shortcuts and learned routes were the primary strategies used in both experiments, as in previous research on the DSP, individuals also utilized route reversals and sometimes found the goal location as a result of wandering. Importantly, sex differences were found in measures of both route selection and navigation efficiency. In particular, males were more likely to take shortcuts and reached their goal location faster than females, while females were more likely to follow learned routes and wander. Self-report measures of strategy were only weakly correlated with objective measures of strategy, casting doubt on their usefulness. This research indicates that the sex difference in navigation efficiency is large, and only partially related to an individual's navigation strategy as measured by the dual-solution paradigm.

An object memory bias induced by communicative reference.

PubMed

Marno, Hanna; Davelaar, Eddy J; Csibra, Gergely

2016-01-01

In humans, a good proportion of knowledge, including knowledge about objects and object kinds, is acquired via social learning by direct communication from others. If communicative signals raise the expectation of social learning about objects, intrinsic (permanent) features that support object recognition are relevant to store into memory, while extrinsic (accidental) object properties can be ignored. We investigated this hypothesis by instructing participants to memorise shape-colour associations that constituted either an extrinsic object property (the colour of the box that contained the object, Experiment 1) or an intrinsic one (the colour of the object, Experiment 2). Compared to a non-communicative context, communicative presentation of the objects impaired participants' performance when they recalled extrinsic object properties, while their incidental memory of the intrinsic shape-colour associations was not affected. Communicative signals had no effect on performance when the task required the memorisation of intrinsic object properties. The negative effect of communicative reference on the memory of extrinsic properties was also confirmed in Experiment 3, where this property was object location. Such a memory bias suggests that referent objects in communication tend to be seen as representatives of their kind rather than as individuals. Copyright © 2015 Elsevier B.V. All rights reserved.

A Neurophysiological examination of quality of learning in a feedback-based learning task.

PubMed

Arbel, Yael; Wu, Hao

2016-12-01

The efficiency with which one processes external feedback contributes to the speed and quality of one's learning. Previous findings that the feedback related negativity (FRN) event related potential (ERP) is modulated by learning outcomes suggested that this ERP reflects the extent to which feedback is used by the learner to improve performance. To further test this suggestion, we measured whether the FRN and the fronto-central positivity (FCP) that follows it are modulated by learning slopes, and as a function of individual differences in learning outcomes. Participants were tasked with learning names (non-words) of 42 novel objects in a two-choice feedback-based visual learning task. The items were divided into three sets of 14 items, each presented in five learning blocks and a sixth test block. Individual learning slopes based on performance on the task, as well as FRN and FCP slopes based on positive and negative feedback related activation in each block were created for 53 participants. Our data pointed to an interaction between slopes of the FRN elicited by negative feedback and learning slopes, such that a sharper decrease in the amplitude of the FRN to negative feedback was associated with sharper learning slopes. We further examined the predictive power of the FRN and FCP elicited in the training blocks on the learning outcomes as measured by performance on the test blocks. We found that small FRN to negative feedback, large FRN to positive feedback, and large FCP to negative feedback in the first training block predicted better learning outcomes. These results add to the growing evidence that the processes giving rise to the FRN and FCP are sensitive to individual differences in the extent to which feedback is used for learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

A New Automated Design Method Based on Machine Learning for CMOS Analog Circuits

NASA Astrophysics Data System (ADS)

Moradi, Behzad; Mirzaei, Abdolreza

2016-11-01

A new simulation based automated CMOS analog circuit design method which applies a multi-objective non-Darwinian-type evolutionary algorithm based on Learnable Evolution Model (LEM) is proposed in this article. The multi-objective property of this automated design of CMOS analog circuits is governed by a modified Strength Pareto Evolutionary Algorithm (SPEA) incorporated in the LEM algorithm presented here. LEM includes a machine learning method such as the decision trees that makes a distinction between high- and low-fitness areas in the design space. The learning process can detect the right directions of the evolution and lead to high steps in the evolution of the individuals. The learning phase shortens the evolution process and makes remarkable reduction in the number of individual evaluations. The expert designer's knowledge on circuit is applied in the design process in order to reduce the design space as well as the design time. The circuit evaluation is made by HSPICE simulator. In order to improve the design accuracy, bsim3v3 CMOS transistor model is adopted in this proposed design method. This proposed design method is tested on three different operational amplifier circuits. The performance of this proposed design method is verified by comparing it with the evolutionary strategy algorithm and other similar methods.

Motor learning characterization in people with autism spectrum disorder: A systematic review

PubMed Central

de Moraes, Íbis Ariana Peña; Massetti, Thais; Crocetta, Tânia Brusque; da Silva, Talita Dias; de Menezes, Lilian Del Ciello; Monteiro, Carlos Bandeira de Mello; Magalhães, Fernando Henrique

2017-01-01

ABSTRACT Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder primarily characterized by deficits in social interaction, communication and implicit skill learning. OBJECTIVE: To analyse the results of research on "motor learning" and the means used for measuring "autistic disorder". METHODS: A systematic literature search was done using Medline/PubMed, Web of Science, BVS (virtual health library), and PsycINFO. We included articles that contained the keywords "autism" and "motor learning". The variables considered were the methodological aspects; results presented, and the methodological quality of the studies. RESULTS: A total of 42 studies were identified; 33 articles were excluded because they did not meet the inclusion criteria. Data were extracted from nine eligible studies and summarized. CONCLUSION: We concluded that although individuals with ASD showed performance difficulties in different memory and motor learning tasks, acquisition of skills still takes place in this population; however, this skill acquisition is related to heterogeneous events, occurring without the awareness of the individual. PMID:29213525

Assessment of Creativity-Based Learning Environment for Major Instrument Courses: A Case Study of Buca Faculty of Education, Department of Music Education

ERIC Educational Resources Information Center

Kaya, Asli; Bilen, Sermin

2016-01-01

The development of the creative potential of individuals is considered to be one of the requirements of modern education. As in all areas, the development of students' creative potential is also among the objectives of education programs in music education. The ability of music teachers to achieve this objective and create creative learning…

The Greatest Learning Return on Your Pedagogical Investment: Alignment, Assessment or In-Class Instruction?

PubMed Central

Holt, Emily A.; Young, Craig; Keetch, Jared; Larsen, Skylar; Mollner, Brayden

2015-01-01

Critical thinking is often considered an essential learning outcome of institutions in higher education. Previous work has proposed three pedagogical strategies to address this goal: more active, student-centered in-class instruction, assessments which contain higher-order cognitive questions, and greater alignment within a classroom (i.e., high agreement of the cognitive level of learning objectives, assessments, and in-class instruction). Our goals were to determine which of these factors, individually or the interactions therein, contributed most to improvements in university students’ critical thinking. We assessed students’ higher-order cognitive skills in introductory non-majors biology courses the first and last week of instruction. For each of the fifteen sections observed, we also measured the cognitive level of assessments and learning objectives, evaluated the learner-centeredness of each classroom, and calculated an alignment score for each class. The best model to explain improvements in students’ high-order cognitive skills contained the measure of learner-centeredness of the class and pre-quiz scores as a covariate. The cognitive level of assessments, learning objectives, nor alignment explained improvements in students’ critical thinking. In accordance with much of the current literature, our findings support that more student-centered classes had greater improvements in student learning. However, more research is needed to clarify the role of assessment and alignment in student learning. PMID:26340659

The Greatest Learning Return on Your Pedagogical Investment: Alignment, Assessment or In-Class Instruction?

PubMed

Holt, Emily A; Young, Craig; Keetch, Jared; Larsen, Skylar; Mollner, Brayden

2015-01-01

Critical thinking is often considered an essential learning outcome of institutions in higher education. Previous work has proposed three pedagogical strategies to address this goal: more active, student-centered in-class instruction, assessments which contain higher-order cognitive questions, and greater alignment within a classroom (i.e., high agreement of the cognitive level of learning objectives, assessments, and in-class instruction). Our goals were to determine which of these factors, individually or the interactions therein, contributed most to improvements in university students' critical thinking. We assessed students' higher-order cognitive skills in introductory non-majors biology courses the first and last week of instruction. For each of the fifteen sections observed, we also measured the cognitive level of assessments and learning objectives, evaluated the learner-centeredness of each classroom, and calculated an alignment score for each class. The best model to explain improvements in students' high-order cognitive skills contained the measure of learner-centeredness of the class and pre-quiz scores as a covariate. The cognitive level of assessments, learning objectives, nor alignment explained improvements in students' critical thinking. In accordance with much of the current literature, our findings support that more student-centered classes had greater improvements in student learning. However, more research is needed to clarify the role of assessment and alignment in student learning.

Resting-State fMRI Activity Predicts Unsupervised Learning and Memory in an Immersive Virtual Reality Environment

PubMed Central

Wong, Chi Wah; Olafsson, Valur; Plank, Markus; Snider, Joseph; Halgren, Eric; Poizner, Howard; Liu, Thomas T.

2014-01-01

In the real world, learning often proceeds in an unsupervised manner without explicit instructions or feedback. In this study, we employed an experimental paradigm in which subjects explored an immersive virtual reality environment on each of two days. On day 1, subjects implicitly learned the location of 39 objects in an unsupervised fashion. On day 2, the locations of some of the objects were changed, and object location recall performance was assessed and found to vary across subjects. As prior work had shown that functional magnetic resonance imaging (fMRI) measures of resting-state brain activity can predict various measures of brain performance across individuals, we examined whether resting-state fMRI measures could be used to predict object location recall performance. We found a significant correlation between performance and the variability of the resting-state fMRI signal in the basal ganglia, hippocampus, amygdala, thalamus, insula, and regions in the frontal and temporal lobes, regions important for spatial exploration, learning, memory, and decision making. In addition, performance was significantly correlated with resting-state fMRI connectivity between the left caudate and the right fusiform gyrus, lateral occipital complex, and superior temporal gyrus. Given the basal ganglia's role in exploration, these findings suggest that tighter integration of the brain systems responsible for exploration and visuospatial processing may be critical for learning in a complex environment. PMID:25286145

Individual differences in heart rate variability are associated with the avoidance of negative emotional events.

PubMed

Katahira, Kentaro; Fujimura, Tomomi; Matsuda, Yoshi-Taka; Okanoya, Kazuo; Okada, Masato

2014-12-01

Although the emotional outcome of a choice generally affects subsequent decisions, humans can inhibit the influence of emotion. Heart rate variability (HRV) has emerged as an objective measure of individual differences in the capacity for inhibitory control. In the present study, we investigated how individual differences in HRV at rest are associated with the emotional effects of the outcome of a choice on subsequent decision making using a decision-making task in which emotional pictures appeared as decision outcomes. We used a reinforcement learning model to characterize the observed behaviors according to several parameters, namely, the learning rate and the motivational value of positive and negative pictures. Consequently, we found that individuals with a lower resting HRV exhibited a greater negative motivational value in response to negative pictures, suggesting that these individuals tend to avoid negative pictures compared with individuals with a higher resting HRV. Copyright © 2014 Elsevier B.V. All rights reserved.

Learning about Disabilities.

ERIC Educational Resources Information Center

Popp, Rita Ann

1983-01-01

The author describes lessons provided for regular class elementary students to help them understand disabilities and disabled persons. Objectives, materials needed, and activities are outlined for six lessons focusing on the following topics: individual differences, wheelchairs; devices that help people walk; amputation, artificial limbs, and…

Advertising Appeal.

ERIC Educational Resources Information Center

Miller, Sandra K.

The individualized learning package for secondary consumer education deals with consumer buying as influenced by advertising. The teacher's section of the package contains a statement of purpose and instructional objectives. Equipment and materials (specific textbooks, audiovisual aids, and sources for sample post-test advertisements) needed for…

Analyzing Hidden Semantics in Social Bookmarking of Open Educational Resources

NASA Astrophysics Data System (ADS)

Minguillón, Julià

Web 2.0 services such as social bookmarking allow users to manage and share the links they find interesting, adding their own tags for describing them. This is especially interesting in the field of open educational resources, as delicious is a simple way to bridge the institutional point of view (i.e. learning object repositories) with the individual one (i.e. personal collections), thus promoting the discovering and sharing of such resources by other users. In this paper we propose a methodology for analyzing such tags in order to discover hidden semantics (i.e. taxonomies and vocabularies) that can be used to improve descriptions of learning objects and make learning object repositories more visible and discoverable. We propose the use of a simple statistical analysis tool such as principal component analysis to discover which tags create clusters that can be semantically interpreted. We will compare the obtained results with a collection of resources related to open educational resources, in order to better understand the real needs of people searching for open educational resources.

Team-based Learning in Therapeutics Workshop Sessions

PubMed Central

Kelley, Katherine A.; Metzger, Anne H.; Bellebaum, Katherine L.; McAuley, James W.

2009-01-01

Objectives To implement team-based learning in the workshop portion of a pathophysiology and therapeutics sequence of courses to promote integration of concepts across the pharmacy curriculum, provide a consistent problem-solving approach to patient care, and determine the impact on student perceptions of professionalism and teamwork. Design Team-based learning was incorporated into the workshop portion of 3 of 6 pathophysiology and therapeutics courses. Assignments that promoted team-building and application of key concepts were created. Assessment Readiness assurance tests were used to assess individual and team understanding of course materials. Students consistently scored 20% higher on team assessments compared with individual assessments. Mean professionalism and teamwork scores were significantly higher after implementation of team-based learning; however, this improvement was not considered educationally significant. Approximately 91% of students felt team-based learning improved understanding of course materials and 93% of students felt teamwork should continue in workshops. Conclusion Team-based learning is an effective teaching method to ensure a consistent approach to problem-solving and curriculum integration in workshop sessions for a pathophysiology and therapeutics course sequence. PMID:19885069

Experience and Sentence Processing: Statistical Learning and Relative Clause Comprehension

PubMed Central

Wells, Justine B.; Christiansen, Morten H.; Race, David S.; Acheson, Daniel J.; MacDonald, Maryellen C.

2009-01-01

Many explanations of the difficulties associated with interpreting object relative clauses appeal to the demands that object relatives make on working memory. MacDonald and Christiansen (2002) pointed to variations in reading experience as a source of differences, arguing that the unique word order of object relatives makes their processing more difficult and more sensitive to the effects of previous experience than the processing of subject relatives. This hypothesis was tested in a large-scale study manipulating reading experiences of adults over several weeks. The group receiving relative clause experience increased reading speeds for object relatives more than for subject relatives, whereas a control experience group did not. The reading time data were compared to performance of a computational model given different amounts of experience. The results support claims for experience-based individual differences and an important role for statistical learning in sentence comprehension processes. PMID:18922516

Gift from statistical learning: Visual statistical learning enhances memory for sequence elements and impairs memory for items that disrupt regularities.

PubMed

Otsuka, Sachio; Saiki, Jun

2016-02-01

Prior studies have shown that visual statistical learning (VSL) enhances familiarity (a type of memory) of sequences. How do statistical regularities influence the processing of each triplet element and inserted distractors that disrupt the regularity? Given that increased attention to triplets induced by VSL and inhibition of unattended triplets, we predicted that VSL would promote memory for each triplet constituent, and degrade memory for inserted stimuli. Across the first two experiments, we found that objects from structured sequences were more likely to be remembered than objects from random sequences, and that letters (Experiment 1) or objects (Experiment 2) inserted into structured sequences were less likely to be remembered than those inserted into random sequences. In the subsequent two experiments, we examined an alternative account for our results, whereby the difference in memory for inserted items between structured and random conditions is due to individuation of items within random sequences. Our findings replicated even when control letters (Experiment 3A) or objects (Experiment 3B) were presented before or after, rather than inserted into, random sequences. Our findings suggest that statistical learning enhances memory for each item in a regular set and impairs memory for items that disrupt the regularity. Copyright © 2015 Elsevier B.V. All rights reserved.

Solar Ready Vets Curriculum Design

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dalstrom, Tenley

The 5-week SRV program includes four sets of program learning goals aligned around (1) the NABCEP Entry Level body of knowledge; (2) gaining hands-on experience with solar system site analysis, design, installation, commissioning, operation, maintenance and financial considerations; (3) Safety issues unique to solar + OSHA 30; (4) Transition planning and individual support of entry into the solar industry. These goals, and the learning objectives associate with each, are pursued in parallel during the course.

Consensus standards for introductory e-learning courses in human participants research ethics

PubMed Central

Williams, John R; Sprumont, Dominique; Hirtle, Marie; Adebamowo, Clement; Braunschweiger, Paul; Bull, Susan; Burri, Christian; Czarkowski, Marek; Te Fan, Chien; Franck, Caroline; Gefenas, Eugenjius; Geissbuhler, Antoine; Klingmann, Ingrid; Kouyaté, Bocar; Kraehenbhul, Jean-Pierre; Kruger, Mariana; Moodley, Keymanthri; Ntoumi, Francine; Nyirenda, Thomas; Pym, Alexander; Silverman, Henry; Tenorio, Sara

2015-01-01

This paper reports the results of a workshop held in January 2013 to begin the process of establishing standards for e-learning programmes in the ethics of research involving human participants that could serve as the basis of their evaluation by individuals and groups who want to use, recommend or accredit such programmes. The standards that were drafted at the workshop cover the following topics: designer/provider qualifications, learning goals, learning objectives, content, methods, assessment of participants and assessment of the course. The authors invite comments on the draft standards and eventual endorsement of a final version by all stakeholders. PMID:23959838

Effectiveness of an individual, online e-learning program about sexually transmitted infections: a prospective cohort study.

PubMed

Bos-Bonnie, Linda H A; van Bergen, Jan E A M; Te Pas, Ellen; Kijser, Michael A; van Dijk, Nynke

2017-04-24

Primary health-care professionals play an important role in the treatment and prevention of Sexually Transmitted Infections (STI). Continuing Medical Education (CME)-courses can influence the knowledge and behavior of health-care professionals concerning STI. We performed a prospective cohort study to evaluate if the individual and online e-learning program "The STI-consultation", which uses the Commitment-to-Change (CtC)-method, is able to improve the knowledge, attitude and behavior of Dutch General Practitioners (GPs), concerning the STI-consultation. This e-learning program is an individual, accredited, online CME-program, which is freely available for all GPs and GP-trainees in the Netherlands. In total 2192 participants completed the questionnaire before completing the e-learning program and 249 participants completed the follow-up questionnaire after completing the e-learning program. The effect of the program on their knowledge, attitude and behavior concerning the STI-consultation was evaluated. In total 193 participants formulated 601 learning points that matched the learning objectives of the program. The knowledge and attitude of the participants improved, which persisted up to two years after completing the program. Another 179 participants formulated a total of 261 intended changes concerning the sexual history taking, additional investigation and treatment of STI, 97.2% of these changes was partially or fully implemented in daily practice. Also, 114 participants formulated a total of 180 "unintended" changes in daily practice. These changes concerned the attitude of participants towards STI and the working conditions concerning the STI-consultation. The individual, online e-learning program "The STI-consultation", which uses the CtC-method, has a small but lasting, positive effect on the knowledge, attitude, and behavior of GPs concerning the STI-consultation.

A Separable Two-Dimensional Random Field Model of Binary Response Data from Multi-Day Behavioral Experiments.

PubMed

Malem-Shinitski, Noa; Zhang, Yingzhuo; Gray, Daniel T; Burke, Sara N; Smith, Anne C; Barnes, Carol A; Ba, Demba

2018-04-18

The study of learning in populations of subjects can provide insights into the changes that occur in the brain with aging, drug intervention, and psychiatric disease. We introduce a separable two-dimensional (2D) random field (RF) model for analyzing binary response data acquired during the learning of object-reward associations across multiple days. The method can quantify the variability of performance within a day and across days, and can capture abrupt changes in learning. We apply the method to data from young and aged macaque monkeys performing a reversal-learning task. The method provides an estimate of performance within a day for each age group, and a learning rate across days for each monkey. We find that, as a group, the older monkeys require more trials to learn the object discriminations than do the young monkeys, and that the cognitive flexibility of the younger group is higher. We also use the model estimates of performance as features for clustering the monkeys into two groups. The clustering results in two groups that, for the most part, coincide with those formed by the age groups. Simulation studies suggest that clustering captures inter-individual differences in performance levels. In comparison with generalized linear models, this method is better able to capture the inherent two-dimensional nature of the data and find between group differences. Applied to binary response data from groups of individuals performing multi-day behavioral experiments, the model discriminates between-group differences and identifies subgroups. Copyright © 2018. Published by Elsevier B.V.

Standardization of computer-assisted semen analysis using an e-learning application.

PubMed

Ehlers, J; Behr, M; Bollwein, H; Beyerbach, M; Waberski, D

2011-08-01

Computer-assisted semen analysis (CASA) is primarily used to obtain accurate and objective kinetic sperm measurements. Additionally, AI centers use computer-assessed sperm concentration in the sample as a basis for calculating the number of insemination doses available from a given ejaculate. The reliability of data is often limited and results can vary even when the same CASA systems with identical settings are used. The objective of the present study was to develop a computer-based training module for standardized measurements with a CASA system and to evaluate its training effect on the quality of the assessment of sperm motility and concentration. A digital versatile disc (DVD) has been produced showing the standardization of sample preparation and analysis with the CASA system SpermVision™ version 3.0 (Minitube, Verona, WI, USA) in words, pictures, and videos, as well as the most probable sources of error. Eight test persons educated in spermatology, but with different levels of experience with the CASA system, prepared and assessed 10 aliquots from one prediluted bull ejaculate using the same CASA system and laboratory equipment before and after electronic learning (e-learning). After using the e-learning application, the coefficient of variation was reduced on average for the sperm concentration from 26.1% to 11.3% (P ≤ 0.01), and for motility from 5.8% to 3.1% (P ≤ 0.05). For five test persons, the difference in the coefficient of variation before and after use of the e-learning application was significant (P ≤ 0.05). Individual deviations of means from the group mean before e-learning were reduced compared with individual deviations from the group mean after e-learning. According to a survey, the e-learning application was highly accepted by users. In conclusion, e-learning presents an effective, efficient, and accepted tool for improvement of the precision of CASA measurements. This study provides a model for the standardization of other laboratory procedures using e-learning. Copyright © 2011 Elsevier Inc. All rights reserved.

Task analysis in curriculum design: a hierarchically sequenced introductory mathematics curriculum1

PubMed Central

Resnick, Lauren B.; Wang, Margaret C.; Kaplan, Jerome

1973-01-01

A method of systematic task analysis is applied to the problem of designing a sequence of learning objectives that will provide an optimal match for the child's natural sequence of acquisition of mathematical skills and concepts. The authors begin by proposing an operational definition of the number concept in the form of a set of behaviors which, taken together, permit the inference that the child has an abstract concept of “number”. These are the “objectives” of the curriculum. Each behavior in the defining set is then subjected to an analysis that identifies hypothesized components of skilled performance and prerequisites for learning these components. On the basis of these analyses, specific sequences of learning objectives are proposed. The proposed sequences are hypothesized to be those that will best facilitate learning, by maximizing transfer from earlier to later objectives. Relevant literature on early learning and cognitive development is considered in conjunction with the analyses and the resulting sequences. The paper concludes with a discussion of the ways in which the curriculum can be implemented and studied in schools. Examples of data on individual children are presented, and the use of such data for improving the curriculum itself, as well as for examining the effects of other treatment variables, is considered. PMID:16795452

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation

PubMed Central

Leibo, Joel Z.; Liao, Qianli; Freiwald, Winrich A.; Anselmi, Fabio; Poggio, Tomaso

2017-01-01

SUMMARY The primate brain contains a hierarchy of visual areas, dubbed the ventral stream, which rapidly computes object representations that are both specific for object identity and robust against identity-preserving transformations like depth-rotations [1, 2]. Current computational models of object recognition, including recent deep learning networks, generate these properties through a hierarchy of alternating selectivity-increasing filtering and tolerance-increasing pooling operations, similar to simple-complex cells operations [3, 4, 5, 6]. Here we prove that a class of hierarchical architectures and a broad set of biologically plausible learning rules generate approximate invariance to identity-preserving transformations at the top level of the processing hierarchy. However, all past models tested failed to reproduce the most salient property of an intermediate representation of a three-level face-processing hierarchy in the brain: mirror-symmetric tuning to head orientation [7]. Here we demonstrate that one specific biologically-plausible Hebb-type learning rule generates mirror-symmetric tuning to bilaterally symmetric stimuli like faces at intermediate levels of the architecture and show why it does so. Thus the tuning properties of individual cells inside the visual stream appear to result from group properties of the stimuli they encode and to reflect the learning rules that sculpted the information-processing system within which they reside. PMID:27916522

Service learning, social justice, and campus health.

PubMed

Ottenritter, Nan W

2004-01-01

Healthy campuses are critical so that students can learn and actively participate in shaping and maintaining a strong educational environment. This Viewpoint describes the commonalities between service learning, social justice, campus health, and the goals of Healthy Campus 2010, which was developed from the larger Healthy People 2010 objectives proposed by the US Department of Health and Human Services. The values, methods, and intended results of service learning are closely related to effective health promotion and disease prevention. Service learning focuses on personal and civic responsibility, thus providing students with opportunities for enhancing individual and community health. Service learning also espouses social justice and provides a vehicle for students to learn about, reflect on, and address health disparities. The author cites research concerning the effect of service learning on students in institutions of higher education and their social justice-related behaviors.

On Marcuse and Caring in Education

ERIC Educational Resources Information Center

Shel, Tammy

2006-01-01

Can caring and standardized testing coincide? Marcuse criticized the misuse of science because it also legitimizes social and economic hierarchy. By the same token, scholars develop standardized testing, claiming these tests are scientific and can measure objectively individuals' learning and intelligence capabilities. However, if inclusive caring…

An Integrated Course in Pain Management and Palliative Care Bridging the Basic Sciences and Pharmacy Practice

PubMed Central

Kullgren, Justin; Unni, Elizabeth; Hanson, Eric

2013-01-01

Objective. To describe the development of an integrated pain and palliative care course and to investigate the long-term effectiveness of the course during doctor of pharmacy (PharmD) students’ advanced pharmacy practice experiences (APPEs) and in their practice after graduation. Design. Roseman University College of Pharmacy faculty developed a 3-week elective course in pain and palliative care by integrating relevant clinical and pharmaceutical sciences. Instructional strategies included lectures, team and individual activities, case studies, and student presentations. Assessment. Students who participated in the course in 2010 and 2011 were surveyed anonymously to gain their perception about the class as well as the utility of the course during their APPEs and in their everyday practice. Traditional and nontraditional assessment of students confirmed that the learning outcomes objectives were achieved. Conclusions. Students taking the integrated course on pain management and palliative care achieved mastery of the learning outcome objectives. Surveys of students and practicing pharmacists who completed the course showed that the learning experience as well as retention was improved with the integrated mode of teaching. Integrating basic and clinical sciences in therapeutic courses is an effective learning strategy. PMID:23966724

Concepts and Objectives for Learning the Structure of English in Grades 7, 8, and 9. Report from the Project on Individually Guided Instruction in English Language, Composition, and Literature.

ERIC Educational Resources Information Center

Pooley, Robert C.; Golub, Lester S.

Emphasizing the behavioral and social aspects of language as a foundation for instruction, 16 concepts for learning the structure of English in grades 7-9 are outlined in an attempt to set down in logical order the basic concepts involved in the understanding of the English language. The concepts begin with a recognition of the social purposes of…

Leveraging object-oriented development at Ames

NASA Technical Reports Server (NTRS)

Wenneson, Greg; Connell, John

1994-01-01

This paper presents lessons learned by the Software Engineering Process Group (SEPG) from results of supporting two projects at NASA Ames using an Object Oriented Rapid Prototyping (OORP) approach supported by a full featured visual development environment. Supplemental lessons learned from a large project in progress and a requirements definition are also incorporated. The paper demonstrates how productivity gains can be made by leveraging the developer with a rich development environment, correct and early requirements definition using rapid prototyping, and earlier and better effort estimation and software sizing through object-oriented methods and metrics. Although the individual elements of OO methods, RP approach and OO metrics had been used on other separate projects, the reported projects were the first integrated usage supported by a rich development environment. Overall the approach used was twice as productive (measured by hours per OO Unit) as a C++ development.

Conducting correlation seminars in basic sciences at KIST Medical College, Nepal

PubMed Central

2011-01-01

KIST Medical College is a new medical school in Lalitpur, Nepal. In Nepal, six basic science subjects are taught together in an integrated organ system-based manner with early clinical exposure and community medicine. Correlation seminars are conducted at the end of covering each organ system. The topics are decided by the core academic group (consisting of members from each basic science department, the Department of Community Medicine, the academic director, and the clinical and program coordinators) considering the public health importance of the condition and its ability to include learning objectives from a maximum number of subjects. The learning objectives are decided by individual departments and finalized after the meeting of the core group. There are two student coordinators for each seminar and an evaluation group evaluates each seminar and presenter. Correlation seminars help students revise the organ system covered and understand its clinical importance, promote teamwork and organization, and supports active learning. Correlation seminars should be considered as a learning modality by other medical schools. PMID:22066033

Quality indicators for learner-centered postgraduate medical e-learning

PubMed Central

Westerman, Michiel; Scheele, Fedde

2017-01-01

Objectives The objectives of this study were to identify the needs and expectations of learners and educational experts in postgraduate medical e-learning, and to contribute to the current literature. Methods We performed four focus-group discussions with e-learning end-users (learners) and didactic experts. The participants were postgraduate learners with varying levels of experience, educational experts from a Dutch e-learning task group, and commercial experts from a Dutch e-learning company. Verbatim transcribed interview recordings were analyzed using King’s template analysis. The initial template was created with reference to recent literature on postgraduate medical e-learning quality indicators. The transcripts were coded, after which the emerging differences in template interpretation were discussed until a consensus was reached within the team. Results The final template consisted of three domains of positive e-learning influencers (motivators, learning enhancers, and real-world translation) and three domains of negatively influential parameters (barriers, learning discouragers, and poor preparation). The interpretation of the final template showed three subjects which form the basis of e-learning, namely, Motivate, Learn and Apply. Conclusions This study forms a basis for learning in general and could be applied to many educational instruments. Individual characteristics should be adapted to the target audience. Three subjects form the basis of, and six themes cover all items needed for, good (enough) postgraduate e-learning. Further research should be carried out with learners and real-world e-learning to validate this template. PMID:28456781

Interest Matters: The Importance of Promoting Interest in Education.

PubMed

Harackiewicz, Judith M; Smith, Jessi L; Priniski, Stacy J

2016-10-01

Interest is a powerful motivational process that energizes learning, guides academic and career trajectories, and is essential to academic success. Interest is both a psychological state of attention and affect toward a particular object or topic, and an enduring predisposition to reengage over time. Integrating these two definitions, the four-phase model of interest development guides interventions that promote interest and capitalize on existing interests. Four interest-enhancing interventions seem useful: attention-getting settings, contexts evoking prior individual interest, problem-based learning, and enhancing utility value. Promoting interest can contribute to a more engaged, motivated, learning experience for students.

Detecting Abnormal Word Utterances in Children With Autism Spectrum Disorders: Machine-Learning-Based Voice Analysis Versus Speech Therapists.

PubMed

Nakai, Yasushi; Takiguchi, Tetsuya; Matsui, Gakuyo; Yamaoka, Noriko; Takada, Satoshi

2017-10-01

Abnormal prosody is often evident in the voice intonations of individuals with autism spectrum disorders. We compared a machine-learning-based voice analysis with human hearing judgments made by 10 speech therapists for classifying children with autism spectrum disorders ( n = 30) and typical development ( n = 51). Using stimuli limited to single-word utterances, machine-learning-based voice analysis was superior to speech therapist judgments. There was a significantly higher true-positive than false-negative rate for machine-learning-based voice analysis but not for speech therapists. Results are discussed in terms of some artificiality of clinician judgments based on single-word utterances, and the objectivity machine-learning-based voice analysis adds to judging abnormal prosody.

Evaluation of Distance Course Effectiveness - Exploring the Quality of Interactive Processes

NASA Astrophysics Data System (ADS)

Botelho, Francisco Villa Ulhôa; Vicari, Rosa Maria

Understanding the dynamics of learning processes implies an understanding of their components: individuals, environment or context and mediation. It is known that distance learning (DL) has a distinctive characteristic in relation to the mediation component. Due to the need of overcoming the barriers of distance and time, DL intensively uses information and communication technologies (ICT) to perform interactive processes. Construction of effective learning environments depends on human relationships. It also depends on the emotionality placed on such relationships. Therefore, knowing how to act in virtual environments in the sense of creating the required ambiance for animation of learning processes has a unique importance. This is the theme of this study. Its general objectives were achieved and can be summarized as follows: analyze indexes that are significant for evaluations of distance course effectiveness; investigate to which extent effectiveness of DL courses is correlated with quality of interactive processes; search characteristics of the conversations by individuals interacting in study groups that are formed in virtual environments, which may contribute to effectiveness of distance courses.

Facilitating the use of implicit memory and learning in the physical therapy management of individuals with Alzheimer disease: a case series.

PubMed

White, Laura; Ford, Matthew P; Brown, Cynthia J; Peel, Claire; Triebel, Kristen L

2014-01-01

Physical rehabilitation of individuals with Alzheimer disease (AD) is often complicated by impairments in explicit memory and learning. Rehabilitation strategies that facilitate the use of the preserved implicit memory system may be effective in treating patients with AD. The purpose of this case series is to describe the application of these strategies, including high-repetition practice, errorless learning (EL), and spaced retrieval, to the physical therapy management of individuals with moderate AD. Three women aged 89 to 95 years with moderate AD who resided in an assisted living facility participated in physical therapy to address their mobility limitations. Twelve physical therapy sessions were scheduled over a period of 4 weeks. Interventions were individually designed to address the mobility needs of each patient, and rehabilitation strategies based on implicit learning principles were integrated into the interventions. All patients participated in at least 10 of the 12 physical therapy sessions. Improvements in performance of objective measures of balance were observed in all patients, although only 1 patient's balance score exceeded the minimal detectable change. No significant clinical change was observed in any patients on the Timed Up and Go Test or self-selected gait speed. Principles of implicit learning were integrated into the interventions for these patients with moderate AD. However, the feasibility of applying the EL paradigm was limited. Further research on the effectiveness of EL, spaced retrieval, and other rehabilitation strategies that facilitate implicit learning of mobility skills in patients with AD is needed to promote optimal physical therapy outcomes in this patient population.

Using artificial intelligence to bring evidence-based medicine a step closer to making the individual difference.

PubMed

Sissons, B; Gray, W A; Bater, A; Morrey, D

2007-03-01

The vision of evidence-based medicine is that of experienced clinicians systematically using the best research evidence to meet the individual patient's needs. This vision remains distant from clinical reality, as no complete methodology exists to apply objective, population-based research evidence to the needs of an individual real-world patient. We describe an approach, based on techniques from machine learning, to bridge this gap between evidence and individual patients in oncology. We examine existing proposals for tackling this gap and the relative benefits and challenges of our proposed, k-nearest-neighbour-based, approach.

Impact of abbreviated lecture with interactive mini-cases vs traditional lecture on student performance in the large classroom.

PubMed

Marshall, Leisa L; Nykamp, Diane L; Momary, Kathryn M

2014-12-15

To compare the impact of 2 different teaching and learning methods on student mastery of learning objectives in a pharmacotherapy module in the large classroom setting. Two teaching and learning methods were implemented and compared in a required pharmacotherapy module for 2 years. The first year, multiple interactive mini-cases with inclass individual assessment and an abbreviated lecture were used to teach osteoarthritis; a traditional lecture with 1 inclass case discussion was used to teach gout. In the second year, the same topics were used but the methods were flipped. Student performance on pre/post individual readiness assessment tests (iRATs), case questions, and subsequent examinations were compared each year by the teaching and learning method and then between years by topic for each method. Students also voluntarily completed a 20-item evaluation of the teaching and learning methods. Postpresentation iRATs were significantly higher than prepresentation iRATs for each topic each year with the interactive mini-cases; there was no significant difference in iRATs before and after traditional lecture. For osteoarthritis, postpresentation iRATs after interactive mini-cases in year 1 were significantly higher than postpresentation iRATs after traditional lecture in year 2; the difference in iRATs for gout per learning method was not significant. The difference between examination performance for osteoarthritis and gout was not significant when the teaching and learning methods were compared. On the student evaluations, 2 items were significant both years when answers were compared by teaching and learning method. Each year, students ranked their class participation higher with interactive cases than with traditional lecture, but both years they reported enjoying the traditional lecture format more. Multiple interactive mini-cases with an abbreviated lecture improved immediate mastery of learning objectives compared to a traditional lecture format, regardless of therapeutic topic, but did not improve student performance on subsequent examinations.

Distinct contributions of attention and working memory to visual statistical learning and ensemble processing.

PubMed

Hall, Michelle G; Mattingley, Jason B; Dux, Paul E

2015-08-01

The brain exploits redundancies in the environment to efficiently represent the complexity of the visual world. One example of this is ensemble processing, which provides a statistical summary of elements within a set (e.g., mean size). Another is statistical learning, which involves the encoding of stable spatial or temporal relationships between objects. It has been suggested that ensemble processing over arrays of oriented lines disrupts statistical learning of structure within the arrays (Zhao, Ngo, McKendrick, & Turk-Browne, 2011). Here we asked whether ensemble processing and statistical learning are mutually incompatible, or whether this disruption might occur because ensemble processing encourages participants to process the stimulus arrays in a way that impedes statistical learning. In Experiment 1, we replicated Zhao and colleagues' finding that ensemble processing disrupts statistical learning. In Experiments 2 and 3, we found that statistical learning was unimpaired by ensemble processing when task demands necessitated (a) focal attention to individual items within the stimulus arrays and (b) the retention of individual items in working memory. Together, these results are consistent with an account suggesting that ensemble processing and statistical learning can operate over the same stimuli given appropriate stimulus processing demands during exposure to regularities. (c) 2015 APA, all rights reserved).

Investigating the Determinants of Adults' Participation in Higher Education

ERIC Educational Resources Information Center

Owusu-Agyeman, Yaw

2016-01-01

This study investigates the determinants of adult learners' participation in higher education in a lifelong learning environment. The author argues that the determinants of adult learners' participation in higher education include individual demands, state and institutional policy objectives and industry-driven demands rather than demographic…

EMR Behavioral Curriculum and Student Record.

ERIC Educational Resources Information Center

Hartnett, John J.

Intended for use as a curriculum guide, a source for objectives for the individualized educational plan, and an evaluation instrument to measure handicapped students' learning, the guide lists sequences of developmental tasks. Tasks are outlined for primary, intermediate, and secondary levels in the following areas (sample subskills in…

Continuous Progress Education: An Ideal that Works.

ERIC Educational Resources Information Center

Jenkins, John M.

1982-01-01

Continuous progress education (CP) provides for the individualization of all significant aspects of learning, including materials, content, objectives, methods, pacing, and student-teacher relationships. It is based on the proposition that no general prescriptions are equally appropriate for all students. A brief description of Hood River Valley…

Promoting Healthy Weight with "Stability Skills First": A Randomized Trial

ERIC Educational Resources Information Center

Kiernan, Michaela; Brown, Susan D.; Schoffman, Danielle E.; Lee, Katherine; King, Abby C.; Taylor, C. Barr; Schleicher, Nina C.; Perri, Michael G.

2013-01-01

Objective: Although behavioral weight-loss interventions produce short-term weight loss, long-term maintenance remains elusive. This randomized trial examined whether learning a novel set of "stability skills" before losing weight improved long-term weight management. Stability skills were designed to optimize individuals' current…

Cognitive Skills in Workplace Learning?

ERIC Educational Resources Information Center

Assiter, Alison

This philosophical and empirical investigation explored whether cognitive skills can be acquired in a workplace setting. A preliminary investigation looked at views of knowledge in liberal humanism where knowledge is a matter for individuals with transcendent minds with objects of knowledge being matters for which there is clear perceptual…

Action Learning--An Experience Working with Executives at the IBM Corporation

ERIC Educational Resources Information Center

Tracy, Marianne

2011-01-01

The increasing emphasis on innovation in executive development has important implications for contemporary organizations talent professionals and strategy creators. Providing an experience that addresses individual and team development, strategic innovation, organizational alignment and the integration of values is the objective of the action…

Native-likeness in second language lexical categorization reflects individual language history and linguistic community norms.

PubMed

Zinszer, Benjamin D; Malt, Barbara C; Ameel, Eef; Li, Ping

2014-01-01

SECOND LANGUAGE LEARNERS FACE A DUAL CHALLENGE IN VOCABULARY LEARNING: First, they must learn new names for the 100s of common objects that they encounter every day. Second, after some time, they discover that these names do not generalize according to the same rules used in their first language. Lexical categories frequently differ between languages (Malt et al., 1999), and successful language learning requires that bilinguals learn not just new words but new patterns for labeling objects. In the present study, Chinese learners of English with varying language histories and resident in two different language settings (Beijing, China and State College, PA, USA) named 67 photographs of common serving dishes (e.g., cups, plates, and bowls) in both Chinese and English. Participants' response patterns were quantified in terms of similarity to the responses of functionally monolingual native speakers of Chinese and English and showed the cross-language convergence previously observed in simultaneous bilinguals (Ameel et al., 2005). For English, bilinguals' names for each individual stimulus were also compared to the dominant name generated by the native speakers for the object. Using two statistical models, we disentangle the effects of several highly interactive variables from bilinguals' language histories and the naming norms of the native speaker community to predict inter-personal and inter-item variation in L2 (English) native-likeness. We find only a modest age of earliest exposure effect on L2 category native-likeness, but importantly, we find that classroom instruction in L2 negatively impacts L2 category native-likeness, even after significant immersion experience. We also identify a significant role of both L1 and L2 norms in bilinguals' L2 picture naming responses.

Native-likeness in second language lexical categorization reflects individual language history and linguistic community norms

PubMed Central

Zinszer, Benjamin D.; Malt, Barbara C.; Ameel, Eef; Li, Ping

2014-01-01

Second language learners face a dual challenge in vocabulary learning: First, they must learn new names for the 100s of common objects that they encounter every day. Second, after some time, they discover that these names do not generalize according to the same rules used in their first language. Lexical categories frequently differ between languages (Malt et al., 1999), and successful language learning requires that bilinguals learn not just new words but new patterns for labeling objects. In the present study, Chinese learners of English with varying language histories and resident in two different language settings (Beijing, China and State College, PA, USA) named 67 photographs of common serving dishes (e.g., cups, plates, and bowls) in both Chinese and English. Participants’ response patterns were quantified in terms of similarity to the responses of functionally monolingual native speakers of Chinese and English and showed the cross-language convergence previously observed in simultaneous bilinguals (Ameel et al., 2005). For English, bilinguals’ names for each individual stimulus were also compared to the dominant name generated by the native speakers for the object. Using two statistical models, we disentangle the effects of several highly interactive variables from bilinguals’ language histories and the naming norms of the native speaker community to predict inter-personal and inter-item variation in L2 (English) native-likeness. We find only a modest age of earliest exposure effect on L2 category native-likeness, but importantly, we find that classroom instruction in L2 negatively impacts L2 category native-likeness, even after significant immersion experience. We also identify a significant role of both L1 and L2 norms in bilinguals’ L2 picture naming responses. PMID:25386149

Functional-anatomic correlates of individual differences in memory.

PubMed

Kirchhoff, Brenda A; Buckner, Randy L

2006-07-20

Memory abilities differ greatly across individuals. To explore a source of these differences, we characterized the varied strategies people adopt during unconstrained encoding. Participants intentionally encoded object pairs during functional MRI. Principal components analysis applied to a strategy questionnaire revealed that participants variably used four main strategies to aid learning. Individuals' use of verbal elaboration and visual inspection strategies independently correlated with their memory performance. Verbal elaboration correlated with activity in a network of regions that included prefrontal regions associated with controlled verbal processing, while visual inspection correlated with activity in a network of regions that included an extrastriate region associated with object processing. Activity in regions associated with use of these strategies was also correlated with memory performance. This study reveals functional-anatomic correlates of verbal and perceptual strategies that are variably used by individuals during encoding. These strategies engage distinct brain regions and may separately influence memory performance.

Using Mind Maps to Make Student Questioning Effective: Learning Outcomes of a Principle-Based Scenario for Teacher Guidance

NASA Astrophysics Data System (ADS)

Stokhof, Harry; de Vries, Bregje; Bastiaens, Theo; Martens, Rob

2018-01-01

Student questioning is an important learning strategy, but rare in many classrooms, because teachers have concerns if these questions contribute to attaining curricular objectives. Teachers face the challenge of making student questioning effective for learning the curriculum. To address this challenge, a principle-based scenario for guiding effective student questioning was developed and tested for its relevance and practicality in two previous studies. In the scenario, which consists of a sequence of pedagogical activities, mind maps support teachers and students to explore and elaborate upon a core curriculum, by raising, investigating, and exchanging student questions. In this paper, a follow-up study is presented that tested the effectiveness of the scenario on student outcomes in terms of attainment of curricular objectives. Ten teachers and their 231 students participated in the study. Pre- and posttest mind maps were used to measure individual and collective learning outcomes of student questioning. Findings show that a majority of students progressed in learning the core curriculum and elaborated upon it. The findings suggest that visualizing knowledge construction in a shared mind map supports students to learn a core curriculum and to refine their knowledge structures.

Collaborative mining and transfer learning for relational data

NASA Astrophysics Data System (ADS)

Levchuk, Georgiy; Eslami, Mohammed

2015-06-01

Many of the real-world problems, - including human knowledge, communication, biological, and cyber network analysis, - deal with data entities for which the essential information is contained in the relations among those entities. Such data must be modeled and analyzed as graphs, with attributes on both objects and relations encode and differentiate their semantics. Traditional data mining algorithms were originally designed for analyzing discrete objects for which a set of features can be defined, and thus cannot be easily adapted to deal with graph data. This gave rise to the relational data mining field of research, of which graph pattern learning is a key sub-domain [11]. In this paper, we describe a model for learning graph patterns in collaborative distributed manner. Distributed pattern learning is challenging due to dependencies between the nodes and relations in the graph, and variability across graph instances. We present three algorithms that trade-off benefits of parallelization and data aggregation, compare their performance to centralized graph learning, and discuss individual benefits and weaknesses of each model. Presented algorithms are designed for linear speedup in distributed computing environments, and learn graph patterns that are both closer to ground truth and provide higher detection rates than centralized mining algorithm.

Competencies for the provision of comprehensive medication management services in an experiential learning project

PubMed Central

de Freitas, Erika Lourenço; Ramalho de Oliveira, Djenane

2017-01-01

Objective To understand students’ and tutors’ perceptions of the development of clinical competencies for the delivery of comprehensive medication management services in an experiential learning project linked to a Brazilian school of pharmacy. Methods An autoethnographic qualitative study was carried out based on participant observation, focus groups and individual interviews with students and tutors involved in an experiential learning project. Results The study revealed the development of competencies related to the philosophy of practice, the pharmacotherapy workup of drug therapy and interprofessional relationships. Conclusions The experiential learning project contributed to the professional development of pharmacy students in pharmaceutical care practice, pointing to its potential benefits for incorporation into professional pharmacy curricula. PMID:28950021

The early emergence and puzzling decline of relational reasoning: Effects of knowledge and search on inferring abstract concepts.

PubMed

Walker, Caren M; Bridgers, Sophie; Gopnik, Alison

2016-11-01

We explore the developmental trajectory and underlying mechanisms of abstract relational reasoning. We describe a surprising developmental pattern: Younger learners are better than older ones at inferring abstract causal relations. Walker and Gopnik (2014) demonstrated that toddlers are able to infer that an effect was caused by a relation between two objects (whether they are the same or different), rather than by individual kinds of objects. While these findings are consistent with evidence that infants recognize same-different relations, they contrast with a large literature suggesting that older children tend to have difficulty inferring these relations. Why might this be? In Experiment 1a, we demonstrate that while younger children (18-30-month-olds) have no difficulty learning these relational concepts, older children (36-48-month-olds) fail to draw this abstract inference. Experiment 1b replicates the finding with 18-30-month-olds using a more demanding intervention task. Experiment 2 tests whether this difference in performance might be because older children have developed the general hypothesis that individual kinds of objects are causal - the high initial probability of this alternative hypothesis might override the data that favors the relational hypothesis. Providing additional information falsifying the alternative hypothesis improves older children's performance. Finally, Experiment 3 demonstrates that prompting for explanations during learning also improves performance, even without any additional information. These findings are discussed in light of recent computational and algorithmic theories of learning. Copyright © 2016 Elsevier B.V. All rights reserved.

Identification of Interesting Objects in Large Spectral Surveys Using Highly Parallelized Machine Learning

NASA Astrophysics Data System (ADS)

Škoda, Petr; Palička, Andrej; Koza, Jakub; Shakurova, Ksenia

2017-06-01

The current archives of LAMOST multi-object spectrograph contain millions of fully reduced spectra, from which the automatic pipelines have produced catalogues of many parameters of individual objects, including their approximate spectral classification. This is, however, mostly based on the global shape of the whole spectrum and on integral properties of spectra in given bandpasses, namely presence and equivalent width of prominent spectral lines, while for identification of some interesting object types (e.g. Be stars or quasars) the detailed shape of only a few lines is crucial. Here the machine learning is bringing a new methodology capable of improving the reliability of classification of such objects even in boundary cases. We present results of Spark-based semi-supervised machine learning of LAMOST spectra attempting to automatically identify the single and double-peak emission of Hα line typical for Be and B[e] stars. The labelled sample was obtained from archive of 2m Perek telescope at Ondřejov observatory. A simple physical model of spectrograph resolution was used in domain adaptation to LAMOST training domain. The resulting list of candidates contains dozens of Be stars (some are likely yet unknown), but also a bunch of interesting objects resembling spectra of quasars and even blazars, as well as many instrumental artefacts. The verification of a nature of interesting candidates benefited considerably from cross-matching and visualisation in the Virtual Observatory environment.

Building a Science Communication Culture: One Agency's Approach

NASA Astrophysics Data System (ADS)

DeWitt, S.; Tenenbaum, L. F.; Betz, L.

2014-12-01

Science communication does not have to be a solitary practice. And yet, many scientists go about it alone and with little support from their peers and organizations. To strengthen community and build support for science communicators, NASA designed a training course aimed at two goals: 1) to develop individual scientists' communication skills, and 2) to begin to build a science communication culture at the agency. NASA offered a pilot version of this training course in 2014: the agency's first multidisciplinary face-to-face learning experience for science communicators. Twenty-six Earth, space and life scientists from ten field centers came together for three days of learning. They took part in fundamental skill-building exercises, individual development planning, and high-impact team projects. This presentation will describe the course design and learning objectives, the experience of the participants, and the evaluation results that will inform future offerings of communication training for NASA scientists and others.

Machine-Learning Algorithms to Code Public Health Spending Accounts

PubMed Central

Leider, Jonathon P.; Resnick, Beth A.; Alfonso, Y. Natalia; Bishai, David

2017-01-01

Objectives: Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the performances of machine-learning algorithms with manual classification of public health expenditures to determine if machines could provide a faster, cheaper alternative to manual classification. Methods: We used machine-learning algorithms to replicate the process of manually classifying state public health expenditures, using the standardized public health spending categories from the Foundational Public Health Services model and a large data set from the US Census Bureau. We obtained a data set of 1.9 million individual expenditure items from 2000 to 2013. We collapsed these data into 147 280 summary expenditure records, and we followed a standardized method of manually classifying each expenditure record as public health, maybe public health, or not public health. We then trained 9 machine-learning algorithms to replicate the manual process. We calculated recall, precision, and coverage rates to measure the performance of individual and ensembled algorithms. Results: Compared with manual classification, the machine-learning random forests algorithm produced 84% recall and 91% precision. With algorithm ensembling, we achieved our target criterion of 90% recall by using a consensus ensemble of ≥6 algorithms while still retaining 93% coverage, leaving only 7% of the summary expenditure records unclassified. Conclusions: Machine learning can be a time- and cost-saving tool for estimating public health spending in the United States. It can be used with standardized public health spending categories based on the Foundational Public Health Services model to help parse public health expenditure information from other types of health-related spending, provide data that are more comparable across public health organizations, and evaluate the impact of evidence-based public health resource allocation. PMID:28363034

Cognitive deficits associated with combined HIV gp120 expression and chronic methamphetamine exposure in mice.

PubMed

Kesby, James P; Markou, Athina; Semenova, Svetlana

2015-01-01

Methamphetamine abuse is common among individuals infected by human immunodeficiency virus (HIV). Neurocognitive outcomes tend to be worse in methamphetamine users with HIV. However, it is unclear whether discrete cognitive domains are susceptible to impairment after combined HIV infection and methamphetamine abuse. The expression of HIV/gp120 protein induces neuropathology in mice similar to HIV-induced pathology in humans. We investigated the separate and combined effects of methamphetamine exposure and gp120 expression on cognitive function in transgenic (gp120-tg) and control mice. The mice underwent an escalating methamphetamine binge regimen and were tested in novel object/location recognition, object-in-place recognition, and Barnes maze tests. gp120 expression disrupted performance in the object-in-place test (i.e. similar time spent with all objects, regardless of location), indicating deficits in associative recognition memory. gp120 expression also altered reversal learning in the Barnes maze, suggesting impairments in executive function. Methamphetamine exposure impaired spatial strategy in the Barnes maze, indicating deficits in spatial learning. Methamphetamine-exposed gp120-tg mice had the lowest spatial strategy scores in the final acquisition trials in the Barnes maze, suggesting greater deficits in spatial learning than all of the other groups. Although HIV infection involves interactions between multiple proteins and processes, in addition to gp120, our findings in gp120-tg mice suggest that humans with the dual insult of HIV infection and methamphetamine abuse may exhibit a broader spectrum of cognitive deficits than those with either factor alone. Depending on the cognitive domain, the combination of both insults may exacerbate deficits in cognitive performance compared with each individual insult. Copyright © 2014 Elsevier B.V. and ECNP. All rights reserved.

Cognitive deficits associated with combined HIV gp120 expression and chronic methamphetamine exposure in mice

PubMed Central

Kesby, James P.; Markou, Athina; Semenova, Svetlana

2014-01-01

Methamphetamine abuse is common among individuals infected by human immunodeficiency virus (HIV). Neurocognitive outcomes tend to be worse in methamphetamine users with HIV. However, it is unclear whether discrete cognitive domains are susceptible to impairment after combined HIV infection and methamphetamine abuse. The expression of HIV/gp120 protein induces neuropathology in mice similar to HIV-induced pathology in humans. We investigated the separate and combined effects of methamphetamine exposure and gp120 expression on cognitive function in transgenic (gp120-tg) and control mice. The mice underwent an escalating methamphetamine binge regimen and were tested in novel object/location recognition, object-in-place recognition, and Barnes maze tests. gp120 expression disrupted performance in the object-in-place test (i.e., similar time spent with all objects, regardless of location), indicating deficits in associative recognition memory. gp120 expression also altered reversal learning in the Barnes maze, suggesting impairments in executive function. Methamphetamine exposure impaired spatial strategy in the Barnes maze, indicating deficits in spatial learning. Methamphetamine-exposed gp120-tg mice had the lowest spatial strategy scores in the final acquisition trials in the Barnes maze, suggesting greater deficits in spatial learning than all of the other groups. Although HIV infection involves interactions between multiple proteins and processes, in addition to gp120, our findings in gp120-tg mice suggest that humans with the dual insult of HIV infection and methamphetamine abuse may exhibit a broader spectrum of cognitive deficits than those with either factor alone. Depending on the cognitive domain, the combination of both insults may exacerbate deficits in cognitive performance compared with each individual insult. PMID:25476577

Development of Programmed Inservice Training on Dialects.

ERIC Educational Resources Information Center

Maxwell, John; And Others

Development of this 6-part inservice program making major use of programed instruction began in 1969 with the objective of modifying classroom teacher behavior in the direction of individualizing the instruction of students learning to control standard English. A review of literature on dialects gave some guidance toward determining the…

Particularity, Presence, Art Teaching, and Learning

ERIC Educational Resources Information Center

Kellman, Julia

2007-01-01

This manuscript explores the interplay of the concepts of "thisness" and singularity with art making. It explores the particularity of the individual--person, object, animal, plant, place, event; the clarity and joyousness of "thisness" or specificity; the exquisite presence of now; and the relationship of these qualities to contemplation and art…

Renovating Literacy Centers for Middle Grades: Differentiating, Reteaching, and Motivating

ERIC Educational Resources Information Center

Hodges, Tracey S.; McTigue, Erin M.

2014-01-01

Remixing traditional and new teaching techniques via literacy centers can restructure middle grades language arts classrooms to promote student movement, autonomy, and creativity. Literacy centers provide a set of individual, developmentally appropriate learning activities that can be updated daily to match current objectives, but do not need to…

Custodial Curriculum. Curriculum Development Project. Final Report.

ERIC Educational Resources Information Center

Smith, Ellen R.

This curriculum guide contains 10 units on custodial training that have been prepared for use by students who are academically disadvantaged. The packets, suitable for individualized instruction, have been written at an average reading level of seventh grade. Each packet contains an overview, learning objectives, pretest, written exercises,…

Goals, the Learner, and the Language Arts.

ERIC Educational Resources Information Center

Ediger, Marlow

Teachers, principals, and supervisors need to determine the kinds of learners being taught in the school/class setting. Are pupils good by nature, bad, or neutral? Concepts held pertaining to each pupil assist in determining objectives, learning activities, and evaluation techniques. The Puritans believed that individuals were born evil or sinful.…

Seven Criteria for an Effective Classroom Environment

ERIC Educational Resources Information Center

Ediger, Marlow

2009-01-01

There are a plethora of variables which affect pupils in the classroom. These might involve the obvious such as uncomfortable temperature readings a well as the following: (1) small group work as compared to individual activities; (2) use of measurably stated objectives versus constructivism as psychologies of learning; (3) a very quiet…

Ethnohistories: Learning through the Stories of Life Experiences.

ERIC Educational Resources Information Center

Brunn, Michael

This paper examines the remembrances or life stories of four young adult American Indians and their efforts to evolve an understanding of themselves as individuals and as culture bearers interacting in two different societies. The project objective was to investigate the correlation between American Indian people's ability to use their heritage…

Engendering Situational Interest through Innovative Instruction in an Engineering Classroom: What Really Mattered?

ERIC Educational Resources Information Center

Hunsu, Nathaniel J.; Adesope, Olusola; Van Wie, Bernard J.

2017-01-01

Instructors often try out innovative interventions (INTRs) in their classrooms to promote student engagement and learning interest. While such efforts are commendable, thinking through how individual and environmental characteristics influence interest development in learners is crucial to meeting such teaching objectives. In this study, we…

Impact of a novel teaching method based on feedback, activity, individuality and relevance on students’ learning

PubMed Central

Brooks, William S.; Laskar, Simone N.; Benjamin, Miles W.; Chan, Philip

2016-01-01

Objectives This study examines the perceived impact of a novel clinical teaching method based on FAIR principles (feedback, activity, individuality and relevance) on students’ learning on clinical placement. Methods This was a qualitative research study. Participants were third year and final year medical students attached to one UK vascular firm over a four-year period (N=108). Students were asked to write a reflective essay on how FAIRness approach differs from previous clinical placement, and its advantages and disadvantages. Essays were thematically analysed and globally rated (positive, negative or neutral) by two independent researchers. Results Over 90% of essays reported positive experiences of feedback, activity, individuality and relevance model.  The model provided multifaceted feedback; active participation; longitudinal improvement; relevance to stage of learning and future goals; structured teaching; professional development; safe learning environment; consultant involvement in teaching. Students perceived preparation for tutorials to be time intensive for tutors/students; a lack of teaching on medical sciences and direct observation of performance; more than once weekly sessions would be beneficial; some issues with peer and public feedback, relevance to upcoming exam and large group sizes. Students described negative experiences of “standard” clinical teaching. Conclusions Progressive teaching programmes based on the FAIRness principles, feedback, activity, individuality and relevance, could be used as a model to improve current undergraduate clinical teaching. PMID:26995588

Memory and Obstructive Sleep Apnea: A Meta-Analysis

PubMed Central

Wallace, Anna; Bucks, Romola S.

2013-01-01

Study Objectives: To examine episodic memory performance in individuals with obstructive sleep apnea (OSA). Design Meta-analysis was used to synthesize results from individual studies examining the impact of OSA on episodic memory performance. The performance of individuals with OSA was compared to healthy controls or normative data. Participants Forty-two studies were included, comprising 2,294 adults with untreated OSA and 1,364 healthy controls. Studies that recorded information about participants at baseline prior to treatment interventions were included in the analysis. Measurements Participants were assessed with tasks that included a measure of episodic memory: immediate recall, delayed recall, learning, and/or recognition memory. Results: The results of the meta-analyses provide evidence that individuals with OSA are significantly impaired when compared to healthy controls on verbal episodic memory (immediate recall, delayed recall, learning, and recognition) and visuo-spatial episodic memory (immediate and delayed recall), but not visual immediate recall or visuo-spatial learning. When patients were compared to norms, negative effects of OSA were found only in verbal immediate and delayed recall. Conclusions: This meta-analysis contributes to understanding of the nature of episodic memory deficits in individuals with OSA. Impairments to episodic memory are likely to affect the daily functioning of individuals with OSA. Citation Wallace A; Bucks RS. Memory and obstructive sleep apnea: a meta-analysis. SLEEP 2013;36(2):203-220. PMID:23372268

Role of virtual reality for cerebral palsy management.

PubMed

Weiss, Patrice L Tamar; Tirosh, Emanuel; Fehlings, Darcy

2014-08-01

Virtual reality is the use of interactive simulations to present users with opportunities to perform in virtual environments that appear, sound, and less frequently, feel similar to real-world objects and events. Interactive computer play refers to the use of a game where a child interacts and plays with virtual objects in a computer-generated environment. Because of their distinctive attributes that provide ecologically realistic and motivating opportunities for active learning, these technologies have been used in pediatric rehabilitation over the past 15 years. The ability of virtual reality to create opportunities for active repetitive motor/sensory practice adds to their potential for neuroplasticity and learning in individuals with neurologic disorders. The objectives of this article is to provide an overview of how virtual reality and gaming are used clinically, to present the results of several example studies that demonstrate their use in research, and to briefly remark on future developments. © The Author(s) 2014.

Evaluation of a Modified Debate Exercise Adapted to the Pedagogy of Team-Based Learning

PubMed Central

Yang, Haoshu; Gupta, Vasudha

2018-01-01

Objective. To assess the impact of a debate exercise on self-reported evidence of student learning in literature evaluation, evidence-based decision making, and oral presentation. Methods. Third-year pharmacy students in a required infectious disease therapeutics course participated in a modified debate exercise that included a reading assignment and readiness assessment tests consistent with team-based learning (TBL) pedagogy. Peer and faculty assessment of student learning was accomplished with a standardized rubric. A pre- and post-debate survey was used to assess self-reported perceptions of abilities to perform skills outlined by the learning objectives. Results. The average individual readiness assessment score was 93.5% and all teams scored 100% on their team readiness assessments. Overall student performance on the debates was also high with an average score of 88.2% prior to extra credit points. Of the 95 students, 88 completed both pre- and post-surveys (93% participation rate). All learning objectives were associated with a statistically significant difference between pre- and post-debate surveys with the majority of students reporting an improvement in self-perceived abilities. Approximately two-thirds of students enjoyed the debates exercise and believed it improved their ability to make and defend clinical decisions. Conclusion. A debate format adapted to the pedagogy of TBL was well-received by students, documented high achievement in assessment of skills, and improved students’ self-reported perceptions of abilities to evaluate the literature, develop evidence-based clinical decisions, and deliver an effective oral presentation.

View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation.

PubMed

Leibo, Joel Z; Liao, Qianli; Anselmi, Fabio; Freiwald, Winrich A; Poggio, Tomaso

2017-01-09

The primate brain contains a hierarchy of visual areas, dubbed the ventral stream, which rapidly computes object representations that are both specific for object identity and robust against identity-preserving transformations, like depth rotations [1, 2]. Current computational models of object recognition, including recent deep-learning networks, generate these properties through a hierarchy of alternating selectivity-increasing filtering and tolerance-increasing pooling operations, similar to simple-complex cells operations [3-6]. Here, we prove that a class of hierarchical architectures and a broad set of biologically plausible learning rules generate approximate invariance to identity-preserving transformations at the top level of the processing hierarchy. However, all past models tested failed to reproduce the most salient property of an intermediate representation of a three-level face-processing hierarchy in the brain: mirror-symmetric tuning to head orientation [7]. Here, we demonstrate that one specific biologically plausible Hebb-type learning rule generates mirror-symmetric tuning to bilaterally symmetric stimuli, like faces, at intermediate levels of the architecture and show why it does so. Thus, the tuning properties of individual cells inside the visual stream appear to result from group properties of the stimuli they encode and to reflect the learning rules that sculpted the information-processing system within which they reside. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Blended Learning Approach to Teaching Basic Pharmacokinetics and the Significance of Face-to-Face Interaction

PubMed Central

Holbrook, Jane

2010-01-01

Objective To assess pharmacy students' attitudes towards a blended-learning pharmacokinetics course. Design Narrated visual presentations and animations that illustrated kinetic processes and guided students through the use of software programs used for calculations were created. Other learning techniques used included online self-assessment quizzes, practice problem sets, and weekly face-to-face problem-solving tutorials. Assessment A precourse questionnaire to assess students' level of enthusiasm towards the blended-learning course and to solicit any concerns they had was administered at the beginning of the course. A postcourse questionnaire that included the same 4 Likert-scale items from the precourse questionnaire and follow-up open-ended questions was administered. Individual changes in level of enthusiasm were compared for individuals who completed both the precourse and postcourse questionnaire. Students' concerns about the blended method of learning had decreased postcourse while their enthusiasm for the benefits of blended learning had increased. Conclusion Students' initial concerns about the blended learning experience were focused on their ability to communicate with the instructor about the online components, but shifted to their own time management skills at the end of the course. Face-to-face interactions with each other and with the instructor were more highly rated than online interactions in this course. PMID:20798797

Learning Visualization Strategies: A qualitative investigation

NASA Astrophysics Data System (ADS)

Halpern, Daniel; Oh, Kyong Eun; Tremaine, Marilyn; Chiang, James; Bemis, Karen; Silver, Deborah

2015-12-01

The following study investigates the range of strategies individuals develop to infer and interpret cross-sections of three-dimensional objects. We focus on the identification of mental representations and problem-solving processes made by 11 individuals with the goal of building training applications that integrate the strategies developed by the participants in our study. Our results suggest that although spatial transformation and perspective-taking techniques are useful for visualizing cross-section problems, these visual processes are augmented by analytical thinking. Further, our study shows that participants employ general analytic strategies for extended periods which evolve through practice into a set of progressively more expert strategies. Theoretical implications are discussed and five main findings are recommended for integration into the design of education software that facilitates visual learning and comprehension.

The advantage of objects over images in discrimination and reversal learning by kea, Nestor notabilis

PubMed Central

O'Hara, Mark; Huber, Ludwig; Gajdon, Gyula Kopanny

2015-01-01

Studies investigating the same paradigm but employing different methods are often directly compared in the literature. One such paradigm used to assess behavioural flexibility in animals is reversal learning. Commonly, these studies require individuals to learn the reward contingency of either solid objects presented on the ground or images presented on a touchscreen. Once learned, these contingencies are swapped. Researchers often refer to trials required to reach learning criteria from different studies, to compare the flexibility of different species, but rarely take methodological differences into account. A direct evaluation of the validity of such comparisons is lacking. To address this latent question, we confronted kea, an alpine parrot species of New Zealand and known for its behavioural flexibility, with a standard reversal learning paradigm on the touchscreen and a standard reversal learning paradigm with solid objects. The kea required significantly more trials to reach criterion in the acquisition and the reversal on the touchscreen. Also, the absolute increase in the number of trials required for the reversal was significantly greater on the touchscreen. This indicates that it is not valid to compare learning speed across studies that do not correspond in the addressed methodology. Taking into account the kea's ecology and explorative nature we discuss stimulus abstraction (limited depth cues and tactile stimulus feedback) and the spatial relation between reward and stimulus on the touchscreen as possible causes for decreased inhibition in this condition. Contrary to the absolute increase in number of trials required for the reversal, the increase in relation to the acquisition was greater with solid objects. This highlights the need for further research on the mechanisms involved causing methodology-dependent differences, some of which we discuss, in order to increase the validity of interpretations across studies and in respect to the subject's ecology. PMID:25745190

Algorithms for Learning Preferences for Sets of Objects

NASA Technical Reports Server (NTRS)

Wagstaff, Kiri L.; desJardins, Marie; Eaton, Eric

2010-01-01

A method is being developed that provides for an artificial-intelligence system to learn a user's preferences for sets of objects and to thereafter automatically select subsets of objects according to those preferences. The method was originally intended to enable automated selection, from among large sets of images acquired by instruments aboard spacecraft, of image subsets considered to be scientifically valuable enough to justify use of limited communication resources for transmission to Earth. The method is also applicable to other sets of objects: examples of sets of objects considered in the development of the method include food menus, radio-station music playlists, and assortments of colored blocks for creating mosaics. The method does not require the user to perform the often-difficult task of quantitatively specifying preferences; instead, the user provides examples of preferred sets of objects. This method goes beyond related prior artificial-intelligence methods for learning which individual items are preferred by the user: this method supports a concept of setbased preferences, which include not only preferences for individual items but also preferences regarding types and degrees of diversity of items in a set. Consideration of diversity in this method involves recognition that members of a set may interact with each other in the sense that when considered together, they may be regarded as being complementary, redundant, or incompatible to various degrees. The effects of such interactions are loosely summarized in the term portfolio effect. The learning method relies on a preference representation language, denoted DD-PREF, to express set-based preferences. In DD-PREF, a preference is represented by a tuple that includes quality (depth) functions to estimate how desired a specific value is, weights for each feature preference, the desired diversity of feature values, and the relative importance of diversity versus depth. The system applies statistical concepts to estimate quantitative measures of the user s preferences from training examples (preferred subsets) specified by the user. Once preferences have been learned, the system uses those preferences to select preferred subsets from new sets. The method was found to be viable when tested in computational experiments on menus, music playlists, and rover images. Contemplated future development efforts include further tests on more diverse sets and development of a sub-method for (a) estimating the parameter that represents the relative importance of diversity versus depth, and (b) incorporating background knowledge about the nature of quality functions, which are special functions that specify depth preferences for features.

Group-Based Active Learning of Classification Models.

PubMed

Luo, Zhipeng; Hauskrecht, Milos

2017-05-01

Learning of classification models from real-world data often requires additional human expert effort to annotate the data. However, this process can be rather costly and finding ways of reducing the human annotation effort is critical for this task. The objective of this paper is to develop and study new ways of providing human feedback for efficient learning of classification models by labeling groups of examples. Briefly, unlike traditional active learning methods that seek feedback on individual examples, we develop a new group-based active learning framework that solicits label information on groups of multiple examples. In order to describe groups in a user-friendly way, conjunctive patterns are used to compactly represent groups. Our empirical study on 12 UCI data sets demonstrates the advantages and superiority of our approach over both classic instance-based active learning work, as well as existing group-based active-learning methods.

Ventral Striatum Response During Reward and Punishment Reversal Learning in Unmedicated Major Depressive Disorder

PubMed Central

Robinson, Oliver J.; Cools, Roshan; Carlisi, Christina O.; Sahakian, Barbara J.; Drevets, Wayne C.

2017-01-01

Objective Affective biases may underlie many of the key symptoms of major depressive disorder, from anhedonia to altered cognitive performance. Understanding the cause of these biases is therefore critical in the quest for improved treatments. Depression is associated, for example, with a negative affective bias in reversal learning. However, despite the fact that reversal learning is associated with striatal response in healthy individuals and depressed individuals exhibit attenuated striatal function on multiple tasks, studies to date have not demonstrated striatal involvement in the negative bias in reversal learning in depression. In this study, the authors sought to determine whether this may be because reversal learning tasks conventionally used to study behavior examine reversals only on the basis of unexpected punishment and therefore do not adequately separate reward- and punishment-based behavior. Method The authors used functional MRI to com pare the hemodynamic response to a reversal learning task with mixed reward- and punishment-based reversal stages between individuals with unmedicated major depressive disorder (N=13) and healthy comparison subjects (N=14). Results Impaired reward (but not punishment) reversal accuracy was found alongside attenuated anteroventral striatal response to unexpected reward in depression. Conclusions Attenuated neurophysiological response of the anteroventral striatum may reflect dysfunction in circuits involving afferent projections from the orbitofrontal, limbic, and/or mesostriatal dopaminergic pathways, which conceivably may, together with the ventral striatum, underlie anhedonia in depression. Learning to appreciate and enjoy positive life experiences is critical for recovery from depression. This study pinpoints a neural target for such recovery. PMID:22420038

Identifying Cognitive Remediation Change Through Computational Modelling—Effects on Reinforcement Learning in Schizophrenia

PubMed Central

Cella, Matteo; Bishara, Anthony J.; Medin, Evelina; Swan, Sarah; Reeder, Clare; Wykes, Til

2014-01-01

Objective: Converging research suggests that individuals with schizophrenia show a marked impairment in reinforcement learning, particularly in tasks requiring flexibility and adaptation. The problem has been associated with dopamine reward systems. This study explores, for the first time, the characteristics of this impairment and how it is affected by a behavioral intervention—cognitive remediation. Method: Using computational modelling, 3 reinforcement learning parameters based on the Wisconsin Card Sorting Test (WCST) trial-by-trial performance were estimated: R (reward sensitivity), P (punishment sensitivity), and D (choice consistency). In Study 1 the parameters were compared between a group of individuals with schizophrenia (n = 100) and a healthy control group (n = 50). In Study 2 the effect of cognitive remediation therapy (CRT) on these parameters was assessed in 2 groups of individuals with schizophrenia, one receiving CRT (n = 37) and the other receiving treatment as usual (TAU, n = 34). Results: In Study 1 individuals with schizophrenia showed impairment in the R and P parameters compared with healthy controls. Study 2 demonstrated that sensitivity to negative feedback (P) and reward (R) improved in the CRT group after therapy compared with the TAU group. R and P parameter change correlated with WCST outputs. Improvements in R and P after CRT were associated with working memory gains and reduction of negative symptoms, respectively. Conclusion: Schizophrenia reinforcement learning difficulties negatively influence performance in shift learning tasks. CRT can improve sensitivity to reward and punishment. Identifying parameters that show change may be useful in experimental medicine studies to identify cognitive domains susceptible to improvement. PMID:24214932

Improving introspection to inform free will regarding the choice by healthy individuals to use or not use cognitive enhancing drugs.

PubMed

Thaler, David S

2009-06-16

A commentary in Nature entitled "Towards responsible use of cognitive-enhancing drugs by the healthy" (Greely et al 2008 Nature 456: 702-705) offers an opportunity to move toward a humane societal appreciation of mind-altering drugs. Using cognitive enhancing drugs as an exemplar, this article presents a series of hypotheses concerning how an individual might learn optimal use. The essence of the proposal is that individuals can cultivate sensitivity to the effects of ever-smaller amounts of psychoactive drugs thereby making harm less likely and benign effects more probable. Four interrelated hypotheses are presented and briefly discussed. 1. Humans can learn to discriminate ever-smaller doses of at least some mind-altering drugs; a learning program can be designed or discovered that will have this outcome. 2. The skill to discriminate drugs and dose can be generalized, i.e. if learned with one drug a second one is easier and so on. 3. Cultivating this skill/knack would be beneficial in leading to choices informed by a more accurate sense of mind-body interactions. 4. From a philosophical point of view learning the effects of ever-smaller doses of psychoactive agents offers a novel path into and to transcend the objective/subjective barrier and the mind/body problem.Whatever the fate of these specific hypotheses, discussion of cognitive enhancing drugs for healthy individuals has the potential to inspire innovative educational and public policy initiatives toward all types of mind-altering drugs and the people who use them.

Investigating the Link Between Radiologists Gaze, Diagnostic Decision, and Image Content

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tourassi, Georgia; Voisin, Sophie; Paquit, Vincent C

2013-01-01

Objective: To investigate machine learning for linking image content, human perception, cognition, and error in the diagnostic interpretation of mammograms. Methods: Gaze data and diagnostic decisions were collected from six radiologists who reviewed 20 screening mammograms while wearing a head-mounted eye-tracker. Texture analysis was performed in mammographic regions that attracted radiologists attention and in all abnormal regions. Machine learning algorithms were investigated to develop predictive models that link: (i) image content with gaze, (ii) image content and gaze with cognition, and (iii) image content, gaze, and cognition with diagnostic error. Both group-based and individualized models were explored. Results: By poolingmore » the data from all radiologists machine learning produced highly accurate predictive models linking image content, gaze, cognition, and error. Merging radiologists gaze metrics and cognitive opinions with computer-extracted image features identified 59% of the radiologists diagnostic errors while confirming 96.2% of their correct diagnoses. The radiologists individual errors could be adequately predicted by modeling the behavior of their peers. However, personalized tuning appears to be beneficial in many cases to capture more accurately individual behavior. Conclusions: Machine learning algorithms combining image features with radiologists gaze data and diagnostic decisions can be effectively developed to recognize cognitive and perceptual errors associated with the diagnostic interpretation of mammograms.« less

Rapid and long-lasting learning of feature binding

PubMed Central

Yashar, Amit; Carrasco, Marisa

2016-01-01

How are features integrated (bound) into objects and how can this process be facilitated? Here we investigated the role of rapid perceptual learning in feature binding and its long-lasting effects. By isolating the contributions of individual features from their conjunctions between training and test displays, we demonstrate for the first time that training can rapidly and substantially improve feature binding. Observers trained on a conjunction search task consisting of a rapid display with one target-conjunction, then tested with a new target-conjunction. Features were the same between training and test displays. Learning transferred to the new target when its conjunction was presented as a distractor, but not when only its component features were presented in different conjunction distractors during training. Training improvement lasted for up to 16 months, but, in all conditions, it was specific to the trained target. Our findings suggest that with short training observers’ ability to bind two specific features into an object is improved, and that this learning effect can last for over a year. Moreover, our findings show that while the short-term learning effect reflects activation of presented items and their binding, long-term consolidation is task specific. PMID:27289484

Modelling individual difference in visual categorization.

PubMed

Shen, Jianhong; Palmeri, Thomas J

Recent years has seen growing interest in understanding, characterizing, and explaining individual differences in visual cognition. We focus here on individual differences in visual categorization. Categorization is the fundamental visual ability to group different objects together as the same kind of thing. Research on visual categorization and category learning has been significantly informed by computational modeling, so our review will focus both on how formal models of visual categorization have captured individual differences and how individual difference have informed the development of formal models. We first examine the potential sources of individual differences in leading models of visual categorization, providing a brief review of a range of different models. We then describe several examples of how computational models have captured individual differences in visual categorization. This review also provides a bit of an historical perspective, starting with models that predicted no individual differences, to those that captured group differences, to those that predict true individual differences, and to more recent hierarchical approaches that can simultaneously capture both group and individual differences in visual categorization. Via this selective review, we see how considerations of individual differences can lead to important theoretical insights into how people visually categorize objects in the world around them. We also consider new directions for work examining individual differences in visual categorization.

Modelling individual difference in visual categorization

PubMed Central

Shen, Jianhong; Palmeri, Thomas J.

2016-01-01

Recent years has seen growing interest in understanding, characterizing, and explaining individual differences in visual cognition. We focus here on individual differences in visual categorization. Categorization is the fundamental visual ability to group different objects together as the same kind of thing. Research on visual categorization and category learning has been significantly informed by computational modeling, so our review will focus both on how formal models of visual categorization have captured individual differences and how individual difference have informed the development of formal models. We first examine the potential sources of individual differences in leading models of visual categorization, providing a brief review of a range of different models. We then describe several examples of how computational models have captured individual differences in visual categorization. This review also provides a bit of an historical perspective, starting with models that predicted no individual differences, to those that captured group differences, to those that predict true individual differences, and to more recent hierarchical approaches that can simultaneously capture both group and individual differences in visual categorization. Via this selective review, we see how considerations of individual differences can lead to important theoretical insights into how people visually categorize objects in the world around them. We also consider new directions for work examining individual differences in visual categorization. PMID:28154496

Budgeting in Higher Education (Teaching Module).

ERIC Educational Resources Information Center

Emery, Rebecca A.

A teaching module or student-oriented learning outline on budgeting in higher education is presented. The module is designed for either group or individual student use and is specifically for the study of higher education. Objectives of the unit are as follows: define "budget," list and describe several types of budgets, cite the three phases of…

Multimedia Approach and Its Effect in Teaching Mathematics for the Prospective Teachers

ERIC Educational Resources Information Center

Joan, D. R. Robert; Denisia, S. P.

2012-01-01

Multimedia improves the effectiveness of teaching learning process of multimedia in formal or informal setting and utilizing scientific principle. It allows us to sort out the information to analyse and make meaning for conceptualization and applications which is suitable for individual learners. The objectives of the study was to measure the…

Teaching Structure-Property Relationships: Investigating Molecular Structure and Boiling Point

ERIC Educational Resources Information Center

Murphy, Peter M.

2007-01-01

A concise, well-organized table of the boiling points of 392 organic compounds has facilitated inquiry-based instruction in multiple scientific principles. Many individual or group learning activities can be derived from the tabulated data of molecular structure and boiling point based on the instructor's education objectives and the students'…

You and the System: An Alternative to Revolution.

ERIC Educational Resources Information Center

Rodeck, Mrs. Willard; And Others

This curriculum guide for secondary grades encourages new young voters to understand and participate in the political system. A major objective is to help students consider the political system as an agent of change, and, moreover, to help them understand how individuals control, influence, and change government. Students learn that there are many…

World Geography. The Port of Baltimore Workplace Skills Development Project.

ERIC Educational Resources Information Center

Walker, Sam

This set of learning modules was developed during a project to deliver workplace literacy instruction to individuals employed in the more than 50 businesses related to the activities of the Port of Baltimore. It is intended to accomplish the following objectives: familiarize students with basic concepts of geography; give students knowledge of…

Exploring Metaskills of Knowledge-Creating Inquiry in Higher Education

ERIC Educational Resources Information Center

Muukkonen, Hanni; Lakkala, Minna

2009-01-01

The skills of knowledge-creating inquiry are explored as a challenge for higher education. The knowledge-creation approach to learning provides a theoretical tool for addressing them: In addition to the individual and social aspects in regulation of inquiry, the knowledge-creation approach focuses on aspects related to advancing shared objects of…

Studying Teaching Methods, Strategies and Best Practices for Young Children with Special Educational Needs

ERIC Educational Resources Information Center

Tzivinikou, S.; Papoutsaki, K.

2016-01-01

Teaching objectives in special education are different from those in the ordinary classroom. Educational programmes for special needs students are focused on individual learning, achievement and progress. Thus, the instruction in special education classrooms and resource rooms in inclusive schools has to be specific, directed and individualised.…

Sports Medicine. Clinical Rotation. Instructor's Packet and Student Study Packet.

ERIC Educational Resources Information Center

Texas Univ., Austin. Extension Instruction and Materials Center.

The materials in this packet are for a course designed to provide individualized classroom study for a specific area of clinical rotation--sports medicine. The instructor's manual describes the learning objectives together with a list of reference materials that should be provided for completion of the student worksheets, and lists suggested…

The Potential Consequence of Using Value-Added Models to Evaluate Teachers

ERIC Educational Resources Information Center

Shen, Zuchao; Simon, Carlee Escue; Kelcey, Ben

2016-01-01

Value-added models try to separate the contribution of individual teachers or schools to students' learning growth measured by standardized test scores. There is a policy trend to use value-added modeling to evaluate teachers because of its face validity and superficial objectiveness. This article investigates the potential long term consequences…

A Rational Plan of Hierarchy and Authority for the Collegiate System: A Proposal to the Academic Senate.

ERIC Educational Resources Information Center

Essig, Bob; Martin, Dick

Educational objectives to guide the Academic Senate include: discover and convey knowledge for learning, thinking, and problem-solving; accentuate individuality, creativity, and originality; develop awareness of real social/cultural conditions in the world; enrich emotional response; show the egalitarian relationship between student and teacher.…

Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models

ERIC Educational Resources Information Center

Dickes, Amanda Catherine; Sengupta, Pratim

2013-01-01

In this paper, we investigate how elementary school students develop multi-level explanations of population dynamics in a simple predator-prey ecosystem, through scaffolded interactions with a multi-agent-based computational model (MABM). The term "agent" in an MABM indicates individual computational objects or actors (e.g., cars), and these…

A Multifaceted Approach to Teamwork Assessment in an Undergraduate Business Program

ERIC Educational Resources Information Center

Kemery, Edward R.; Stickney, Lisa T.

2014-01-01

We describe a multifaceted, multilevel approach to teamwork learning and assessment. It includes teamwork knowledge, peer and self-appraisal of teamwork behavior, and individual and team performance on objective tests for teaching and assessing teamwork in an undergraduate business program. At the beginning of this semester-long process, students…

Effect of Visualization (Job Aids) in Facilitating Cognitive Development.

ERIC Educational Resources Information Center

Spaulding, Karen L.; Dwyer, Francis

This study examined the instructional effectiveness with which different job aid types facilitated learner achievement of different types of learning objectives and identified the degree to which low and high prior knowledge individuals profit from different job aid types. The instructional content used in the study was an instructional module on…

Interdisciplinary Co-operation (Part II of "Language Learning: Individual Needs, Interdisciplinary Co-operation, Bi- and Multilingualism").

ERIC Educational Resources Information Center

1978

The following papers on interdisciplinary cooperation in second language instruction are included: (1) "Language Teaching: Possibilities for Interdisciplinary Co-operation," by James E. Alatis; (2) "L'insegnamento della letteratura italiana (The Teaching of Italian Literature)," by Ezio Raimondi; (3) "Objective Evaluation and Transparency," by…

No Light at the End of Tunnel Vision: Steps for Improving Lesson Plans

ERIC Educational Resources Information Center

Dunn, Rita; Craig, Martin; Favre, Lois; Markus, Doron; Pedota, Paul; Sookdeo, Gale; Stock, Jessica; Terry, Brian

2010-01-01

The authors of this article believe that the current structure of lesson plans impede differentiation, individualization, and innovation and offer little in assessing the quality of teaching and learning. Concrete steps will be offered for planning to better respond to student diversity in meeting lesson objectives. (Contains 1 figure.)

E-learning process maturity level: a conceptual framework

NASA Astrophysics Data System (ADS)

Rahmah, A.; Santoso, H. B.; Hasibuan, Z. A.

2018-03-01

ICT advancement is a sure thing with the impact influencing many domains, including learning in both formal and informal situations. It leads to a new mindset that we should not only utilize the given ICT to support the learning process, but also improve it gradually involving a lot of factors. These phenomenon is called e-learning process evolution. Accordingly, this study attempts to explore maturity level concept to provide the improvement direction gradually and progression monitoring for the individual e-learning process. Extensive literature review, observation, and forming constructs are conducted to develop a conceptual framework for e-learning process maturity level. The conceptual framework consists of learner, e-learning process, continuous improvement, evolution of e-learning process, technology, and learning objectives. Whilst, evolution of e-learning process depicted as current versus expected conditions of e-learning process maturity level. The study concludes that from the e-learning process maturity level conceptual framework, it may guide the evolution roadmap for e-learning process, accelerate the evolution, and decrease the negative impact of ICT. The conceptual framework will be verified and tested in the future study.

Individualized identification of euthymic bipolar disorder using the Cambridge Neuropsychological Test Automated Battery (CANTAB) and machine learning.

PubMed

Wu, Mon-Ju; Passos, Ives Cavalcante; Bauer, Isabelle E; Lavagnino, Luca; Cao, Bo; Zunta-Soares, Giovana B; Kapczinski, Flávio; Mwangi, Benson; Soares, Jair C

2016-03-01

Previous studies have reported that patients with bipolar disorder (BD) present with cognitive impairments during mood episodes as well as euthymic phase. However, it is still unknown whether reported neurocognitive abnormalities can objectively identify individual BD patients from healthy controls (HC). A total of 21 euthymic BD patients and 21 demographically matched HC were included in the current study. Participants performed the computerized Cambridge Neurocognitive Test Automated Battery (CANTAB) to assess cognitive performance. The least absolute shrinkage selection operator (LASSO) machine learning algorithm was implemented to identify neurocognitive signatures to distinguish individual BD patients from HC. The LASSO machine learning algorithm identified individual BD patients from HC with an accuracy of 71%, area under receiver operating characteristic curve of 0.7143 and significant at p=0.0053. The LASSO algorithm assigned individual subjects with a probability score (0-healthy, 1-patient). Patients with rapid cycling (RC) were assigned increased probability scores as compared to patients without RC. A multivariate pattern of neurocognitive abnormalities comprising of affective Go/No-go and the Cambridge gambling task was relevant in distinguishing individual patients from HC. Our study sample was small as we only considered euthymic BD patients and demographically matched HC. Neurocognitive abnormalities can distinguish individual euthymic BD patients from HC with relatively high accuracy. In addition, patients with RC had more cognitive impairments compared to patients without RC. The predictive neurocognitive signature identified in the current study can potentially be used to provide individualized clinical inferences on BD patients. Copyright © 2015 Elsevier B.V. All rights reserved.

[Kolb's learning styles in medical students].

PubMed

Borracci, Raúl A; Arribalzaga, Eduardo B

2015-01-01

The objective of this work was to study the relationship of Kolb's learning styles in academic success or failure in medical students. A prospective cohort study in 116 medical students of a private Argentine university was performed between March 2005 and March 2011. The follow-up included two cut-offs; during 2005-2006 the students' learning styles were determined and five years later, when individuals had to end their career, they were grouped into graduated, delayed or dropped status. At the end of the period, 50% of the students ended successfully, 24.1% abandoned and 25.9% was delayed. Learning styles were assimilator in 60.3% of cases, divergent in 14.7%, accommodator in 6.9%, convergent in 6.0% and undefined in 12.1%. In conclusion, the follow-up during the career demonstrated that convergent or undefined styles had a tendency to abandon the career, while delayed students had a more theoretical and reflexive style than successful individuals. The results observed in convergent students differed from other reports. This difference would be explained by a particular characteristic of the sample or by the teaching and evaluation profile of the university.

Implicit Perceptual-Motor Skill Learning in Mild Cognitive Impairment and Parkinson's Disease

PubMed Central

Gobel, Eric W.; Blomeke, Kelsey; Zadikoff, Cindy; Simuni, Tanya; Weintraub, Sandy; Reber, Paul J.

2015-01-01

Objective Implicit skill learning is hypothesized to depend on nondeclarative memory that operates independent of the medial temporal lobe (MTL) memory system and instead depends on cortico-striatal circuits between the basal ganglia and cortical areas supporting motor function and planning. Research with the Serial Reaction Time (SRT) task suggests that patients with memory-disorders due to MTL damage exhibit normal implicit sequence learning. However, reports of intact learning rely on observations of no group differences, leading to speculation whether implicit sequence learning is fully intact in these patients. Patients with Parkinson's Disease (PD) often exhibit impaired sequence learning, but this impairment is not universally observed. Method Implicit perceptual-motor sequence learning was examined using the Serial Interception Sequence Learning (SISL) task in patients with amnestic Mild Cognitive Impairment (MCI; n=11) and patients with PD (n=15). Sequence learning in SISL is resistant to explicit learning and individually adapted task difficulty controls for baseline performance differences. Results Patients with MCI exhibited robust sequence learning, equivalent to healthy older adults (n=20), supporting the hypothesis that the MTL does not contribute to learning in this task. In contrast, the majority of patients with PD exhibited no sequence-specific learning in spite of matched overall task performance. Two patients with PD exhibited performance indicative of an explicit compensatory strategy suggesting that impaired implicit learning may lead to greater reliance on explicit memory in some individuals. Conclusion The differences in learning between patient groups provides strong evidence in favor of implicit sequence learning depending solely on intact basal ganglia function with no contribution from the MTL memory system. PMID:23688213

Exploring the changing learning environment of the gross anatomy lab.

PubMed

Hopkins, Robin; Regehr, Glenn; Wilson, Timothy D

2011-07-01

The objective of this study was to assess the impact of virtual models and prosected specimens in the context of the gross anatomy lab. In 2009, student volunteers from an undergraduate anatomy class were randomly assigned to study groups in one of three learning conditions. All groups studied the muscles of mastication and completed identical learning objectives during a 45-minute lab. All groups were provided with two reference atlases. Groups were distinguished by the type of primary tools they were provided: gross prosections, three-dimensional stereoscopic computer model, or both resources. The facilitator kept observational field notes. A prepost multiple-choice knowledge test was administered to evaluate students' learning. No significant effect of the laboratory models was demonstrated between groups on the prepost assessment of knowledge. Recurring observations included students' tendency to revert to individual memorization prior to the posttest, rotation of models to match views in the provided atlas, and dissemination of groups into smaller working units. The use of virtual lab resources seemed to influence the social context and learning environment of the anatomy lab. As computer-based learning methods are implemented and studied, they must be evaluated beyond their impact on knowledge gain to consider the effect technology has on students' social development.

Individual differences in the benefits of feedback for learning.

PubMed

Kelley, Christopher M; McLaughlin, Anne Collins

2012-02-01

Research on learning from feedback has produced ambiguous guidelines for feedback design--some have advocated minimal feedback, whereas others have recommended more extensive feedback that highly supported performance. The objective of the current study was to investigate how individual differences in cognitive resources may predict feedback requirements and resolve previous conflicted findings. Cognitive resources were controlled for by comparing samples from populations with known differences, older and younger adults.To control for task demands, a simple rule-based learning task was created in which participants learned to identify fake Windows pop-ups. Pop-ups were divided into two categories--those that required fluid ability to identify and those that could be identified using crystallized intelligence. In general, results showed participants given higher feedback learned more. However, when analyzed by type of task demand, younger adults performed comparably with both levels of feedback for both cues whereas older adults benefited from increased feedbackfor fluid ability cues but from decreased feedback for crystallized ability cues. One explanation for the current findings is feedback requirements are connected to the cognitive abilities of the learner-those with higher abilities for the type of demands imposed by the task are likely to benefit from reduced feedback. We suggest the following considerations for feedback design: Incorporate learner characteristics and task demands when designing learning support via feedback.

Region growing using superpixels with learned shape prior

NASA Astrophysics Data System (ADS)

Borovec, Jiří; Kybic, Jan; Sugimoto, Akihiro

2017-11-01

Region growing is a classical image segmentation method based on hierarchical region aggregation using local similarity rules. Our proposed method differs from classical region growing in three important aspects. First, it works on the level of superpixels instead of pixels, which leads to a substantial speed-up. Second, our method uses learned statistical shape properties that encourage plausible shapes. In particular, we use ray features to describe the object boundary. Third, our method can segment multiple objects and ensure that the segmentations do not overlap. The problem is represented as an energy minimization and is solved either greedily or iteratively using graph cuts. We demonstrate the performance of the proposed method and compare it with alternative approaches on the task of segmenting individual eggs in microscopy images of Drosophila ovaries.

Learning Object Repositories

ERIC Educational Resources Information Center

Lehman, Rosemary

2007-01-01

This chapter looks at the development and nature of learning objects, meta-tagging standards and taxonomies, learning object repositories, learning object repository characteristics, and types of learning object repositories, with type examples. (Contains 1 table.)

Altruistic learning.

PubMed

Seymour, Ben; Yoshida, Wako; Dolan, Ray

2009-01-01

The origin of altruism remains one of the most enduring puzzles of human behaviour. Indeed, true altruism is often thought either not to exist, or to arise merely as a miscalculation of otherwise selfish behaviour. In this paper, we argue that altruism emerges directly from the way in which distinct human decision-making systems learn about rewards. Using insights provided by neurobiological accounts of human decision-making, we suggest that reinforcement learning in game-theoretic social interactions (habitisation over either individuals or games) and observational learning (either imitative of inference based) lead to altruistic behaviour. This arises not only as a result of computational efficiency in the face of processing complexity, but as a direct consequence of optimal inference in the face of uncertainty. Critically, we argue that the fact that evolutionary pressure acts not over the object of learning ('what' is learned), but over the learning systems themselves ('how' things are learned), enables the evolution of altruism despite the direct threat posed by free-riders.

Three visual techniques to enhance interprofessional learning.

PubMed

Parsell, G; Gibbs, T; Bligh, J

1998-07-01

Many changes in the delivery of healthcare in the UK have highlighted the need for healthcare professionals to learn to work together as teams for the benefit of patients. Whatever the profession or level, whether for postgraduate education and training, continuing professional development, or for undergraduates, learners should have an opportunity to learn about and with, other healthcare practitioners in a stimulating and exciting way. Learning to understand how people think, feel, and react, and the parts they play at work, both as professionals and individuals, can only be achieved through sensitive discussion and exchange of views. Teaching and learning methods must provide opportunities for this to happen. This paper describes three small-group teaching techniques which encourage a high level of learner collaboration and team-working. Learning content is focused on real-life health-care issues and strong visual images are used to stimulate lively discussion and debate. Each description includes the learning objectives of each exercise, basic equipment and resources, and learning outcomes.

Surgical education and training in an outer metropolitan hospital: a qualitative study of surgical trainers and trainees.

PubMed

Nestel, Debra; Harlim, Jennifer; Bryant, Melanie; Rampersad, Rajay; Hunter-Smith, David; Spychal, Bob

2017-08-01

The landscape of surgical training is changing. The anticipated increase in the numbers of surgical trainees and the shift to competency-based surgical training places pressures on an already stretched health service. With these pressures in mind, we explored trainers' and trainees' experiences of surgical training in a less traditional rotation, an outer metropolitan hospital. We considered practice-based learning theories to make meaning of surgical training in this setting, in particular Actor-network theory. We adopted a qualitative approach and purposively sampled surgical trainers and trainees to participate in individual interviews and focus groups respectively. Transcripts were made and thematically analysed. Institutional human research ethics approval was obtained. Four surgical trainers and fourteen trainees participated. Almost without exception, participants' report training needs to be well met. Emergent inter-related themes were: learning as social activity; learning and programmatic factors; learning and physical infrastructure; and, learning and organizational structure. This outer metropolitan hospital is suited to the provision of surgical training with the current rotational system for trainees. The setting offers experiences that enable consolidation of learning providing a rich and varied overall surgical training program. Although relational elements of learning were paramount they occurred within a complex environment. Actor-network theory was used to give meaning to emergent themes acknowledging that actors (both people and objects) and their interactions combine to influence training quality, shifting the focus of responsibility for learning away from individuals to the complex interactions in which they work and learn.

Relationship of biomedical science content acquisition performance to students' level of PBL group interaction: are students learning during PBL group?

PubMed

Romito, Laura M; Eckert, George J

2011-05-01

This study assessed biomedical science content acquisition from problem-based learning (PBL) and its relationship to students' level of group interaction. We hypothesized that learning in preparation for exams results primarily from individual study of post-case learning objectives and that outcomes would be unrelated to students' group involvement. During dental curricular years 1 and 2, student-generated biomedical learning issues (LIs) were identified from six randomly chosen PBL cases. Knowledge and application of case concepts were assessed with quizzes based on the identified LIs prior to dissemination of the learning objectives. Students and facilitators were surveyed on students' level of group involvement for the assessed LI topics. Year 1 students had significantly higher assessment scores (p=0.0001). For both student classes, means were significantly higher for the recall item (Q1) than for the application item (Q2). Q1 scores increased along with the student's reported role for Year 1 (p=0.04). However, there was no relationship between the student's reported role and Q1 for Year 2 (p=0.20). There was no relationship between the student's reported role and Q2 for Year 1 (p=0.09) or Year 2 (p=0.19). This suggests that students' level of group involvement on the biomedical learning issues did not significantly impact students' assessment performance.

[The specialty program as a training tool: an individual training plan for each resident].

PubMed

Rodríguez González, R; Capilla Cabezuelo, E

2010-01-01

The official training program for the specialty "Diagnostic Imaging" establishes minimum learning objectives that must be fulfilled. Each accredited teaching unit is responsible for designing and carrying out a curriculum to ensure that these objectives are met, and this approach permits a degree of flexibility. Various aspects must be considered in the individual training plans for each resident: the rotation scheme according to the way the department is organized, plans for recovering missed material or reinforcing weak points, optional rotations, increasing degrees of responsibility as skills are acquired during training, and accommodating special needs of handicapped persons. Nevertheless, the individual plan must be fitted to the established curriculum and guarantee that the content of the official program is covered and that the objectives stipulated therein are met. Furthermore, the methods of teaching must be adapted to the individual characteristics of the residents, and this is the most important aspect of the individualization of training. To this end, it is fundamental for residents to take on an active role in their training, guided by their tutor and with the participation of all the radiologists in the department including the other residents, all of whom should act as teachers. Copyright © 2010 SERAM. Published by Elsevier Espana. All rights reserved.

Mere exposure alters category learning of novel objects.

PubMed

Folstein, Jonathan R; Gauthier, Isabel; Palmeri, Thomas J

2010-01-01

We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning.

Mere Exposure Alters Category Learning of Novel Objects

PubMed Central

Folstein, Jonathan R.; Gauthier, Isabel; Palmeri, Thomas J.

2010-01-01

We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning. PMID:21833209

How GPs learn.

PubMed

MacLeod, Sheona

2009-07-01

As the requirements for the revalidation of general practitioners (GPs) unfold, there is an increasing emphasis on demonstrating effective continued medical education (CME) based on identified learning needs. This qualitative study aimed to promote understanding of how GPs currently approach their learning. The behaviour of one group of GPs was studied to explore how they assessed and met individual learning needs. The GPs studied showed a pragmatic approach, valuing learning that gave them practical advice and instant access to information for patient-specific problems. The main driver for the GPs' learning was discomfort during their daily work if a possible lack of knowledge or skills was perceived. However, some learning benchmarked current good practice or ensured continued expertise. Learning purely for interest was also described. The GPs in this study all demonstrated a commitment to personal learning, although they were not yet thinking about demonstrating the effectiveness of this for revalidation. The GPs prioritised their learning needs and were beginning to use some objective assessment methods to do this and the GP appraisal process was found to have a mainly positive effect on learning.

Primary prevention: educational approaches to enhance social and emotional learning.

PubMed

Elias, M J; Weissberg, R P

2000-05-01

The 1995 publication of Goleman's Emotional Intelligence triggered a revolution in mental health promotion. Goleman's examination of Gardner's work on multiple intelligences and current brain research, and review of successful programs that promoted emotional health, revealed a common objective among those working to prevent specific problem behaviors: producing knowledgeable, responsible, nonviolent, and caring individuals. Advances in research and field experiences confirm that school-based programs that promote social and emotional learning (SEL) in children can be powerful in accomplishing these goals. This article reviews the work of the Collaborative to Advance Social and Emotional Learning (CASEL), its guidelines for promoting mental health in children and youth based on SEL, key principles, and examples of exemplary programs.

Using Student Learning and Development Outcomes to Evaluate a First-Year Undergraduate Group Video Project

PubMed Central

Jensen, Murray; Mattheis, Allison; Johnson, Brady

2012-01-01

Students in an interdisciplinary undergraduate introductory course were required to complete a group video project focused on nutrition and healthy eating. A mixed-methods approach to data collection involved observing and rating video footage of group work sessions and individual and focus group interviews. These data were analyzed and used to evaluate the effectiveness of the assignment in light of two student learning outcomes and two student development outcomes at the University of Minnesota. Positive results support the continued inclusion of the project within the course, and recommend the assignment to other programs as a viable means of promoting both content learning and affective behavioral objectives. PMID:22383619

Using student learning and development outcomes to evaluate a first-year undergraduate group video project.

PubMed

Jensen, Murray; Mattheis, Allison; Johnson, Brady

2012-01-01

Students in an interdisciplinary undergraduate introductory course were required to complete a group video project focused on nutrition and healthy eating. A mixed-methods approach to data collection involved observing and rating video footage of group work sessions and individual and focus group interviews. These data were analyzed and used to evaluate the effectiveness of the assignment in light of two student learning outcomes and two student development outcomes at the University of Minnesota. Positive results support the continued inclusion of the project within the course, and recommend the assignment to other programs as a viable means of promoting both content learning and affective behavioral objectives.

Consensus standards for introductory e-learning courses in human participants research ethics.

PubMed

Williams, John R; Sprumont, Dominique; Hirtle, Marie; Adebamowo, Clement; Braunschweiger, Paul; Bull, Susan; Burri, Christian; Czarkowski, Marek; Fan, Chien Te; Franck, Caroline; Gefenas, Eugenjius; Geissbuhler, Antoine; Klingmann, Ingrid; Kouyaté, Bocar; Kraehenbhul, Jean-Pierre; Kruger, Mariana; Moodley, Keymanthri; Ntoumi, Francine; Nyirenda, Thomas; Pym, Alexander; Silverman, Henry; Tenorio, Sara

2014-06-01

This paper reports the results of a workshop held in January 2013 to begin the process of establishing standards for e-learning programmes in the ethics of research involving human participants that could serve as the basis of their evaluation by individuals and groups who want to use, recommend or accredit such programmes. The standards that were drafted at the workshop cover the following topics: designer/provider qualifications, learning goals, learning objectives, content, methods, assessment of participants and assessment of the course. The authors invite comments on the draft standards and eventual endorsement of a final version by all stakeholders. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Generative Learning during Visual Search for Scene Changes: Enhancing Free Recall of Individuals with and without Mental Retardation

ERIC Educational Resources Information Center

Carlin, Michael T.; Soraci, Sal A.; Strawbridge, Christina P.

2005-01-01

Memory for scene changes that were identified immediately (passive encoding) or following systematic and effortful search (generative encoding) was compared across groups differing in age and intelligence. In the context of flicker methodology, generative search for the changing object involved selection and rejection of multiple potential…

The Relationship between Multiple Intelligences and Iranian EFL Learners' Level of L2 Lexical Knowledge: The Case of Gender

ERIC Educational Resources Information Center

Biria, Reza; Boshrabadi, Abbas Mehrabi; Nikbakht, Elham

2014-01-01

Human cognitive competence represents individuals' subconscious knowledge of abilities, talents, and mental skills collectively called "multiple intelligences (MIs)", which play a pivotal role in facilitating human learning. Thus, the main objective of the present study was to determine the magnitude of the relationship existing between…

Water in Fire Control--Basic Training Course.

ERIC Educational Resources Information Center

Forest Service (USDA), Washington, DC.

Prepared by a team of fire control officers, the training guide is designed to help fire crewmen learn the fundamentals of water use. The entire package can be used for a complete course or individual lessons and can be adapted to specific training needs. Throughout the guide, emphasis is placed on one primary training objective, performance in…

Using Art Media during Prewriting: Helping Students with Dysgraphia Manage Idea Generation before Encoding Text

ERIC Educational Resources Information Center

Dunn, Michael

2013-01-01

Many students struggle with writing skills. This study focuses on three students (second and fourth grades) who were classified with a learning disability by their school. These children had writing goals and objectives (i.e., characteristics of having dysgraphia) included in their Individual Education Plan. In a single case design format, each…

A Guide for Teaching in and from an Urban School Environment, 1973.

ERIC Educational Resources Information Center

State Univ. of New York, Plattsburgh. Coll. at Plattsburgh.

The resource materials represent the cooperative efforts of graduate students enrolled in a 2-week field learning class. The specific objective of the reports was to consider the ways urban resources can be used in outdoor education teaching in and from a "city" environment. The individual reports are: Athletic Field; Community Signs; Curbs and…

Articulated, Performance-Based Instruction Objectives Guide for Masonry (Bricklaying). Developing Period, July, 1983--June, 1984. Edition I.

ERIC Educational Resources Information Center

Henderson, Wm. Edward, Jr., Ed.

This curriculum guide is designed to assist vocational educators in presenting an articulated, performance-based course in masonry and bricklaying. Addressed in the individual units of the course are the following topics: safety, leadership, job communications, career preparation, desirable learning and work habits and attitudes, basic math…

Unique Considerations for Assessing the Learning Media of Students Who Are Deaf-Blind

ERIC Educational Resources Information Center

McKenzie, Amy R.

2009-01-01

The use of current assessment results is an essential part of the Individualized Education Program (IEP) process for students with disabilities. The results of assessments allow the IEP team to write accurate statements of present levels of performance and thus student-centered goals and objectives. For students with visual impairments, including…

Natural and Man-Made Objects, Level K. Teacher's Guide. Operation Waste Watch.

ERIC Educational Resources Information Center

Virginia State Dept. of Waste Management, Richmond. Div. of Litter & Recycling.

Operation Waste Watch is a series of seven sequential learning units which addresses the subject of litter control and solid waste management. Each unit may be used in a variety of ways, depending on the needs and schedules of individual schools, and may be incorporated into various social studies, science, language arts, health, mathematics, and…

Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls.

PubMed

Kiiski, Hanni; Jollans, Lee; Donnchadha, Seán Ó; Nolan, Hugh; Lonergan, Róisín; Kelly, Siobhán; O'Brien, Marie Claire; Kinsella, Katie; Bramham, Jessica; Burke, Teresa; Hutchinson, Michael; Tubridy, Niall; Reilly, Richard B; Whelan, Robert

2018-05-01

Event-related potentials (ERPs) show promise to be objective indicators of cognitive functioning. The aim of the study was to examine if ERPs recorded during an oddball task would predict cognitive functioning and information processing speed in Multiple Sclerosis (MS) patients and controls at the individual level. Seventy-eight participants (35 MS patients, 43 healthy age-matched controls) completed visual and auditory 2- and 3-stimulus oddball tasks with 128-channel EEG, and a neuropsychological battery, at baseline (month 0) and at Months 13 and 26. ERPs from 0 to 700 ms and across the whole scalp were transformed into 1728 individual spatio-temporal datapoints per participant. A machine learning method that included penalized linear regression used the entire spatio-temporal ERP to predict composite scores of both cognitive functioning and processing speed at baseline (month 0), and months 13 and 26. The results showed ERPs during the visual oddball tasks could predict cognitive functioning and information processing speed at baseline and a year later in a sample of MS patients and healthy controls. In contrast, ERPs during auditory tasks were not predictive of cognitive performance. These objective neurophysiological indicators of cognitive functioning and processing speed, and machine learning methods that can interrogate high-dimensional data, show promise in outcome prediction.

Interoperability Gap Challenges for Learning Object Repositories & Learning Management Systems

ERIC Educational Resources Information Center

Mason, Robert T.

2011-01-01

An interoperability gap exists between Learning Management Systems (LMSs) and Learning Object Repositories (LORs). Learning Objects (LOs) and the associated Learning Object Metadata (LOM) that is stored within LORs adhere to a variety of LOM standards. A common LOM standard found in LORs is the Sharable Content Object Reference Model (SCORM)…

Using reusable learning objects (rlos) in injection skills teaching: Evaluations from multiple user types.

PubMed

Williams, Julia; O'Connor, Mórna; Windle, Richard; Wharrad, Heather J

2015-12-01

Clinical skills are a critical component of pre-registration nurse education in the United Kingdom, yet there is widespread concern about the clinical skills displayed by newly-qualified nurses. Novel means of supporting clinical skills education are required to address this. A package of Reusable Learning Objects (RLOs) was developed to supplement pre-registration teaching on the clinical skill of administering injection medication. RLOs are electronic resources addressing a single learning objective whose interactivity facilitates learning. This article evaluates a package of five injection RLOs across three studies: (1) questionnaires administered to pre-registration nursing students at University of Nottingham (UoN) (n=46) evaluating the RLO package as a whole; (2) individual RLOs evaluated in online questionnaires by educators and students from UoN; from other national and international institutions; and healthcare professionals (n=265); (3) qualitative evaluation of the RLO package by UoN injection skills tutors (n=6). Data from all studies were assessed for (1) access to, (2) usefulness, (3) impact and (4) integration of the RLOs. Study one found that pre-registration nursing students rate the RLO package highly across all categories, particularly underscoring the value of their self-test elements. Study two found high ratings in online assessments of individual RLOs by multiple users. The global reach is particularly encouraging here. Tutors reported insufficient levels of student-RLO access, which might be explained by the timing of their student exposure. Tutors integrate RLOs into teaching and agree on their use as teaching supplements, not substitutes for face-to-face education. This evaluation encompasses the first years postpackage release. Encouraging data on evaluative categories in this early review suggest that future evaluations are warranted to track progress as the package is adopted and evaluated more widely. Copyright © 2015 Elsevier Ltd. All rights reserved.

Knowledge acquisition and learning process description in context of e-learning

NASA Astrophysics Data System (ADS)

Kiselev, B. G.; Yakutenko, V. A.; Yuriev, M. A.

2017-01-01

This paper investigates the problem of design of e-learning and MOOC systems. It describes instructional design-based approaches to e-learning systems design: IMS Learning Design, MISA and TELOS. To solve this problem we present Knowledge Field of Educational Environment with Competence boundary conditions - instructional engineering method for self-learning systems design. It is based on the simplified TELOS approach and enables a user to create their individual learning path by choosing prerequisite and target competencies. The paper provides the ontology model for the described instructional engineering method, real life use cases and the classification of the presented model. Ontology model consists of 13 classes and 15 properties. Some of them are inherited from Knowledge Field of Educational Environment and some are new and describe competence boundary conditions and knowledge validation objects. Ontology model uses logical constraints and is described using OWL 2 standard. To give TELOS users better understanding of our approach we list mapping between TELOS and KFEEC.

Learning from Mistakes

PubMed Central

Fischer, Melissa A; Mazor, Kathleen M; Baril, Joann; Alper, Eric; DeMarco, Deborah; Pugnaire, Michele

2006-01-01

CONTEXT Trainees are exposed to medical errors throughout medical school and residency. Little is known about what facilitates and limits learning from these experiences. OBJECTIVE To identify major factors and areas of tension in trainees' learning from medical errors. DESIGN, SETTING, AND PARTICIPANTS Structured telephone interviews with 59 trainees (medical students and residents) from 1 academic medical center. Five authors reviewed transcripts of audiotaped interviews using content analysis. RESULTS Trainees were aware that medical errors occur from early in medical school. Many had an intense emotional response to the idea of committing errors in patient care. Students and residents noted variation and conflict in institutional recommendations and individual actions. Many expressed role confusion regarding whether and how to initiate discussion after errors occurred. Some noted the conflict between reporting errors to seniors who were responsible for their evaluation. Learners requested more open discussion of actual errors and faculty disclosure. No students or residents felt that they learned better from near misses than from actual errors, and many believed that they learned the most when harm was caused. CONCLUSIONS Trainees are aware of medical errors, but remaining tensions may limit learning. Institutions can immediately address variability in faculty response and local culture by disseminating clear, accessible algorithms to guide behavior when errors occur. Educators should develop longitudinal curricula that integrate actual cases and faculty disclosure. Future multi-institutional work should focus on identified themes such as teaching and learning in emotionally charged situations, learning from errors and near misses and balance between individual and systems responsibility. PMID:16704381

Exploration and Exploitation During Sequential Search

PubMed Central

Dam, Gregory; Körding, Konrad

2012-01-01

When we learn how to throw darts we adjust how we throw based on where the darts stick. Much of skill learning is computationally similar in that we learn using feedback obtained after the completion of individual actions. We can formalize such tasks as a search problem; among the set of all possible actions, find the action that leads to the highest reward. In such cases our actions have two objectives: we want to best utilize what we already know (exploitation), but we also want to learn to be more successful in the future (exploration). Here we tested how participants learn movement trajectories where feedback is provided as a monetary reward that depends on the chosen trajectory. We mathematically derived the optimal search policy for our experiment using decision theory. The search behavior of participants is well predicted by an ideal searcher model that optimally combines exploration and exploitation. PMID:21585479

Adaptive Semantic and Social Web-based learning and assessment environment for the STEM

NASA Astrophysics Data System (ADS)

Babaie, Hassan; Atchison, Chris; Sunderraman, Rajshekhar

2014-05-01

We are building a cloud- and Semantic Web-based personalized, adaptive learning environment for the STEM fields that integrates and leverages Social Web technologies to allow instructors and authors of learning material to collaborate in semi-automatic development and update of their common domain and task ontologies and building their learning resources. The semi-automatic ontology learning and development minimize issues related to the design and maintenance of domain ontologies by knowledge engineers who do not have any knowledge of the domain. The social web component of the personal adaptive system will allow individual and group learners to interact with each other and discuss their own learning experience and understanding of course material, and resolve issues related to their class assignments. The adaptive system will be capable of representing key knowledge concepts in different ways and difficulty levels based on learners' differences, and lead to different understanding of the same STEM content by different learners. It will adapt specific pedagogical strategies to individual learners based on their characteristics, cognition, and preferences, allow authors to assemble remotely accessed learning material into courses, and provide facilities for instructors to assess (in real time) the perception of students of course material, monitor their progress in the learning process, and generate timely feedback based on their understanding or misconceptions. The system applies a set of ontologies that structure the learning process, with multiple user friendly Web interfaces. These include the learning ontology (models learning objects, educational resources, and learning goal); context ontology (supports adaptive strategy by detecting student situation), domain ontology (structures concepts and context), learner ontology (models student profile, preferences, and behavior), task ontologies, technological ontology (defines devices and places that surround the student), pedagogy ontology, and learner ontology (defines time constraint, comment, profile).

Applying interprofessional Team-Based Learning in patient safety: a pilot evaluation study.

PubMed

Lochner, Lukas; Girardi, Sandra; Pavcovich, Alessandra; Meier, Horand; Mantovan, Franco; Ausserhofer, Dietmar

2018-03-27

Interprofessional education (IPE) interventions are not always successful in achieving learning outcomes. Team-Based Learning (TBL) would appear to be a suitable pedagogical method for IPE, as it focuses on team performance; however, little is known about interprofessional TBL as an instructional framework for patient safety. In this pilot-study, we aimed to (1) describe participants' reactions to TBL, (2) observe their achievement with respect to interprofessional education learning objectives, and (3) document their attitudinal shifts with regard to patient safety behaviours. We developed and implemented a three-day course for pre-qualifying, non-medical healthcare students to give instruction on non-technical skills related to 'learning from errors'. The course consisted of three sequential modules: 'Recognizing Errors', 'Analysing Errors', and 'Reporting Errors'. The evaluation took place within a quasi-experimental pre-test-post-test study design. Participants completed self-assessments through valid and reliable instruments such as the Mennenga's TBL Student Assessment Instrument and the University of the West of England's Interprofessional Questionnaire. The mean scores of the individual readiness assurance tests were compared with the scores of the group readiness assurance test in order to explore if students learned from each other during group discussions. Data was analysed using descriptive (i.e. mean, standard deviation), parametric (i.e. paired t-test), and non-parametric (i.e. Wilcoxon signed-rank test) methods. Thirty-nine students from five different bachelor's programs attended the course. The participants positively rated TBL as an instructional approach. All teams outperformed the mean score of their individual members during the readiness assurance process. We observed significant improvements in 'communication and teamwork' and 'interprofessional learning' but not in 'interprofessional interaction' and 'interprofessional relationships.' Findings on safety attitudes and behaviours were mixed. TBL was well received by the students. Our first findings indicate that interprofessional TBL seems to be a promising pedagogical method to achieve patient safety learning objectives. It is crucial to develop relevant clinical cases that involve all professions. Further research with larger sample sizes (e.g. including medical students) and more rigorous study designs (e.g. pre-test post-test with a control group) is needed to confirm our preliminary findings.

Improving collaborative learning in online software engineering education

NASA Astrophysics Data System (ADS)

Neill, Colin J.; DeFranco, Joanna F.; Sangwan, Raghvinder S.

2017-11-01

Team projects are commonplace in software engineering education. They address a key educational objective, provide students critical experience relevant to their future careers, allow instructors to set problems of greater scale and complexity than could be tackled individually, and are a vehicle for socially constructed learning. While all student teams experience challenges, those in fully online programmes must also deal with remote working, asynchronous coordination, and computer-mediated communications all of which contribute to greater social distance between team members. We have developed a facilitation framework to aid team collaboration and have demonstrated its efficacy, in prior research, with respect to team performance and outcomes. Those studies indicated, however, that despite experiencing improved project outcomes, students working in effective software engineering teams did not experience significantly improved individual achievement. To address this deficiency we implemented theoretically grounded refinements to the collaboration model based upon peer-tutoring research. Our results indicate a modest, but statistically significant (p = .08), improvement in individual achievement using this refined model.

What is learned from repeated pairings? On the scope and generalizability of evaluative conditioning.

PubMed

Hütter, Mandy; Kutzner, Florian; Fiedler, Klaus

2014-04-01

The investigation of evaluative conditioning (EC) has been mainly concerned with the conditioning of individual stimuli. Namely, a specific conditioned stimulus (CS) is paired with a positive or negative unconditioned stimulus and consequently acquires the valence of the unconditioned stimulus. In the present article, we expand the notion of EC to CS cues (e.g., gender) as distinguished from CS objects (e.g., an individual). We developed a conditioning paradigm that allows for the simultaneous investigation of both types of EC effects, evaluative identity conditioning and evaluative cue conditioning. The experiments demonstrate that EC has the potential to change attitudes not only toward CS individuals but also toward CS cues. We applied this twofold approach to both impoverished and more complex learning environments, demonstrating that evaluative identity conditioning is dependent on stimulus complexity while evaluative cue conditioning depends on the complexity of the stimulus context. The findings have distinct implications for the generalization of EC effects as well as for the investigation of EC.

Personality preference influences medical student use of specific computer-aided instruction (CAI)

PubMed Central

McNulty, John A; Espiritu, Baltazar; Halsey, Martha; Mendez, Michelle

2006-01-01

Background The objective of this study was to test the hypothesis that personality preference, which can be related to learning style, influences individual utilization of CAI applications developed specifically for the undergraduate medical curriculum. Methods Personality preferences of students were obtained using the Myers-Briggs Type Indicator (MBTI) test. CAI utilization for individual students was collected from entry logs for two different web-based applications (a discussion forum and a tutorial) used in the basic science course on human anatomy. Individual login data were sorted by personality preference and the data statistically analyzed by 2-way mixed ANOVA and correlation. Results There was a wide discrepancy in the level and pattern of student use of both CAI. Although individual use of both CAI was positively correlated irrespective of MBTI preference, students with a "Sensing" preference tended to use both CAI applications more than the "iNtuitives". Differences in the level of use of these CAI applications (i.e., higher use of discussion forum vs. a tutorial) were also found for the "Perceiving/Judging" dimension. Conclusion We conclude that personality/learning preferences of individual students influence their use of CAI in the medical curriculum. PMID:16451719

The Application of Modeling and Simulation to the Behavioral Deficit of Autism

NASA Technical Reports Server (NTRS)

Anton, John J.

2010-01-01

This abstract describes a research effort to apply technological advances in virtual reality simulation and computer-based games to create behavioral modification programs for individuals with Autism Spectrum Disorder (ASD). The research investigates virtual social skills training within a 3D game environment to diminish the impact of ASD social impairments and to increase learning capacity for optimal intellectual capability. Individuals with autism will encounter prototypical social contexts via computer interface and will interact with 3D avatars with predefined roles within a game-like environment. Incremental learning objectives will combine to form a collaborative social environment. A secondary goal of the effort is to begin the research and development of virtual reality exercises aimed at triggering the release of neurotransmitters to promote critical aspects of synaptic maturation at an early age to change the course of the disease.

A multi-instructor, team-based, active-learning exercise to integrate basic and clinical sciences content.

PubMed

Kolluru, Srikanth; Roesch, Darren M; Akhtar de la Fuente, Ayesha

2012-03-12

To introduce a multiple-instructor, team-based, active-learning exercise to promote the integration of basic sciences (pathophysiology, pharmacology, and medicinal chemistry) and clinical sciences in a doctor of pharmacy curriculum. A team-based learning activity that involved pre-class reading assignments, individual-and team-answered multiple-choice questions, and evaluation and discussion of a clinical case, was designed, implemented, and moderated by 3 faculty members from the pharmaceutical sciences and pharmacy practice departments. Student performance was assessed using a multiple-choice examination, an individual readiness assurance test (IRAT), a team readiness assurance test (TRAT), and a subjective, objective, assessment, and plan (SOAP) note. Student attitudes were assessed using a pre- and post-exercise survey instrument. Students' understanding of possible correct treatment strategies for depression improved. Students were appreciative of this true integration of basic sciences knowledge in a pharmacotherapy course and to have faculty members from both disciplines present to answer questions. Mean student score on the on depression module for the examination was 80.4%, indicating mastery of the content. An exercise led by multiple instructors improved student perceptions of the importance of team-based teaching. Integrated teaching and learning may be achieved when instructors from multiple disciplines work together in the classroom using proven team-based, active-learning exercises.

An integrated course in pain management and palliative care bridging the basic sciences and pharmacy practice.

PubMed

Kullgren, Justin; Radhakrishnan, Rajan; Unni, Elizabeth; Hanson, Eric

2013-08-12

To describe the development of an integrated pain and palliative care course and to investigate the long-term effectiveness of the course during doctor of pharmacy (PharmD) students' advanced pharmacy practice experiences (APPEs) and in their practice after graduation. Roseman University College of Pharmacy faculty developed a 3-week elective course in pain and palliative care by integrating relevant clinical and pharmaceutical sciences. Instructional strategies included lectures, team and individual activities, case studies, and student presentations. Students who participated in the course in 2010 and 2011 were surveyed anonymously to gain their perception about the class as well as the utility of the course during their APPEs and in their everyday practice. Traditional and nontraditional assessment of students confirmed that the learning outcomes objectives were achieved. Students taking the integrated course on pain management and palliative care achieved mastery of the learning outcome objectives. Surveys of students and practicing pharmacists who completed the course showed that the learning experience as well as retention was improved with the integrated mode of teaching. Integrating basic and clinical sciences in therapeutic courses is an effective learning strategy.

Our (Represented) World: A Quantum-Like Object

NASA Astrophysics Data System (ADS)

Lambert-Mogiliansky, Ariane; Dubois, François

It has been suggested that observed cognitive limitations may be an expression of the quantum-like structure of the mind. In this chapter we explore some implications of this hypothesis for learning i.e., for the construction of a representation of the world. For a quantum-like individual, there exists a multiplicity of mentally incompatible (Bohr complementary) but equally valid and complete representations (mental pictures) of the world. The process of learning i.e., of constructing a representation, involves two kinds of operations on the mental picture. The acquisition of new data which is modelled as a preparation procedure and the processing of data which is modelled as an introspective measurement operation. This process is shown not to converge to a single mental picture. Rather, it can evolve forever. We define a concept of entropy to capture relative intrinsic uncertainty. The analysis suggests a new perspective on learning. First, it implies that we must turn to double objectification as in Quantum Mechanics: the cognitive process is the primary object of learning. Second, it suggests that a representation of the world arises as the result of creative interplay between the mind and the environment.

Intelligent Discovery for Learning Objects Using Semantic Web Technologies

ERIC Educational Resources Information Center

Hsu, I-Ching

2012-01-01

The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…

Behavioral methods for the study of the Ras-ERK pathway in memory formation and consolidation: passive avoidance and novel object recognition tests.

PubMed

d'Isa, Raffaele; Brambilla, Riccardo; Fasano, Stefania

2014-01-01

Memory is a high-level brain function that enables organisms to adapt their behavioral responses to the environment, hence increasing their probability of survival. The Ras-ERK pathway is a key molecular intracellular signalling cascade for memory consolidation. In this chapter we will describe two main one-trial behavioral tests commonly used in the field of memory research in order to assess the role of Ras-ERK signalling in long-term memory: passive avoidance and object recognition. Passive avoidance (PA) is a fear-motivated instrumental learning task, designed by Jarvik and Essman in 1960, in which animals learn to refrain from emitting a behavioral response that has previously been associated with a punishment. We will describe here the detailed protocol and show some examples of how PA can reveal impairments or enhancements in memory consolidation following loss or gain of function genetic manipulations of the Ras-ERK pathway. The phenotypes of global mutants as Ras-GRF1 KO, GENA53, and ERK1 KO mice, as well as of conditional region-specific mutants (striatal K-CREB mice), will be illustrated as examples. Novel object recognition (NOR), developed by Ennaceur and Delacour in 1988, is instead a more recent and highly ecological test, which relies on the natural tendency of rodents to spontaneously approach and explore novel objects, representing hence a useful non-stressful tool for the study of memory in animals without the employment of punishments or starvation/water restriction regimens. Careful indications will be given on how to select the positions for the novel object, in order to counterbalance for individual side preferences among mice during the training. Finally, the methods for calculating two learning indexes will be described. In addition to the classical discrimination index (DI) that measures the ability of an animal to discriminate between two different objects which are presented at the same time, we will describe the formula of a new index that we present here for the first time, the recognition index (RI), which quantifies the ability of an animal to recognize a same object at different time points and that, by taking into account the basal individual preferences displayed during the training, can give a more accurate measure of an animal's actual recognition memory.

Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

PubMed

Zhan, Andong; Mohan, Srihari; Tarolli, Christopher; Schneider, Ruth B; Adams, Jamie L; Sharma, Saloni; Elson, Molly J; Spear, Kelsey L; Glidden, Alistair M; Little, Max A; Terzis, Andreas; Dorsey, E Ray; Saria, Suchi

2018-03-26

Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings. To develop an objective measure of PD severity and test construct validity by evaluating the ability of the measure to capture intraday symptom fluctuations, correlate with current standard PD outcome measures, and respond to dopaminergic therapy. This observational study assessed individuals with PD who remotely completed 5 tasks (voice, finger tapping, gait, balance, and reaction time) on the smartphone application. We used a novel machine-learning-based approach to generate a mobile Parkinson disease score (mPDS) that objectively weighs features derived from each smartphone activity (eg, stride length from the gait activity) and is scaled from 0 to 100 (where higher scores indicate greater severity). Individuals with and without PD additionally completed standard in-person assessments of PD with smartphone assessments during a period of 6 months. Ability of the mPDS to detect intraday symptom fluctuations, the correlation between the mPDS and standard measures, and the ability of the mPDS to respond to dopaminergic medication. The mPDS was derived from 6148 smartphone activity assessments from 129 individuals (mean [SD] age, 58.7 [8.6] years; 56 [43.4%] women). Gait features contributed most to the total mPDS (33.4%). In addition, 23 individuals with PD (mean [SD] age, 64.6 [11.5] years; 11 [48%] women) and 17 without PD (mean [SD] age 54.2 [16.5] years; 12 [71%] women) completed in-clinic assessments. The mPDS detected symptom fluctuations with a mean (SD) intraday change of 13.9 (10.3) points on a scale of 0 to 100. The measure correlated well with the Movement Disorder Society Unified Parkinson Disease's Rating Scale total (r = 0.81; P < .001) and part III only (r = 0.88; P < .001), the Timed Up and Go assessment (r = 0.72; P = .002), and the Hoehn and Yahr stage (r = 0.91; P < .001). The mPDS improved by a mean (SD) of 16.3 (5.6) points in response to dopaminergic therapy. Using a novel machine-learning approach, we created and demonstrated construct validity of an objective PD severity score derived from smartphone assessments. This score complements standard PD measures by providing frequent, objective, real-world assessments that could enhance clinical care and evaluation of novel therapeutics.

Adult Age Differences in Learning from Positive and Negative Probabilistic Feedback

PubMed Central

Simon, Jessica R.; Howard, James H.; Howard, Darlene V.

2010-01-01

Objective Past research has investigated age differences in frontal-based decision making, but few studies have focused on the behavioral effects of striatal-based changes in healthy aging. Feedback learning has been found to vary with dopamine levels; increases in dopamine facilitate learning from positive feedback, whereas decreases facilitate learning from negative feedback. Given previous evidence of striatal dopamine depletion in healthy aging, we investigated behavioral differences between college-aged and healthy old adults using a feedback learning task that is sensitive to both frontal and striatal processes. Method Seventeen college-aged (M = 18.9 years) and 24 healthy, older adults (M = 70.3 years) completed the Probabilistic selection task, in which participants are trained on probabilistic stimulus-outcome information and then tested to determine whether they learned more from positive or negative feedback. Results As a group, the old adults learned equally well from positive and negative feedback, whereas the college-aged group learned more from positive than negative feedback, F(1, 39) = 4.10, p < .05, reffect = .3. However, these group differences were not due to the older individuals being more balanced learners. Most individuals of both ages were balanced learners, but while all of the remaining young learners had a positive bias, the remaining older learners were split between those with positive and negative learning biases (χ2(2) = 6.12, p<.047). Conclusions These behavioral results are consistent with the dopamine theory of striatal aging, and suggest there might be adult age differences in the kinds of information people use when faced with a current choice. PMID:20604627

Image fusion using sparse overcomplete feature dictionaries

DOEpatents

Brumby, Steven P.; Bettencourt, Luis; Kenyon, Garrett T.; Chartrand, Rick; Wohlberg, Brendt

2015-10-06

Approaches for deciding what individuals in a population of visual system "neurons" are looking for using sparse overcomplete feature dictionaries are provided. A sparse overcomplete feature dictionary may be learned for an image dataset and a local sparse representation of the image dataset may be built using the learned feature dictionary. A local maximum pooling operation may be applied on the local sparse representation to produce a translation-tolerant representation of the image dataset. An object may then be classified and/or clustered within the translation-tolerant representation of the image dataset using a supervised classification algorithm and/or an unsupervised clustering algorithm.

Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder.

PubMed

Mwangi, Benson; Ebmeier, Klaus P; Matthews, Keith; Steele, J Douglas

2012-05-01

Quantitative abnormalities of brain structure in patients with major depressive disorder have been reported at a group level for decades. However, these structural differences appear subtle in comparison with conventional radiologically defined abnormalities, with considerable inter-subject variability. Consequently, it has not been possible to readily identify scans from patients with major depressive disorder at an individual level. Recently, machine learning techniques such as relevance vector machines and support vector machines have been applied to predictive classification of individual scans with variable success. Here we describe a novel hybrid method, which combines machine learning with feature selection and characterization, with the latter aimed at maximizing the accuracy of machine learning prediction. The method was tested using a multi-centre dataset of T(1)-weighted 'structural' scans. A total of 62 patients with major depressive disorder and matched controls were recruited from referred secondary care clinical populations in Aberdeen and Edinburgh, UK. The generalization ability and predictive accuracy of the classifiers was tested using data left out of the training process. High prediction accuracy was achieved (~90%). While feature selection was important for maximizing high predictive accuracy with machine learning, feature characterization contributed only a modest improvement to relevance vector machine-based prediction (~5%). Notably, while the only information provided for training the classifiers was T(1)-weighted scans plus a categorical label (major depressive disorder versus controls), both relevance vector machine and support vector machine 'weighting factors' (used for making predictions) correlated strongly with subjective ratings of illness severity. These results indicate that machine learning techniques have the potential to inform clinical practice and research, as they can make accurate predictions about brain scan data from individual subjects. Furthermore, machine learning weighting factors may reflect an objective biomarker of major depressive disorder illness severity, based on abnormalities of brain structure.

The Polish Folk High Schools. Occasional Papers in Continuing Education. Number 17.

ERIC Educational Resources Information Center

Kulich, Jindra; Bron-Wojciechowska, Agnieszka

Polish folk high schools are modeled after schools developed in the mid-1850s in Denmark to provide general, non-credit education for young adults in rural areas. The main objectives of the folk high schools are to provide a climate for individual student development and to serve as centers where young adults can learn about their cultural…

Capturing the Object of Initial Teacher Education by Studying Tools-in-Use in Four School Subject Departments

ERIC Educational Resources Information Center

Douglas, Alaster Scott

2012-01-01

This paper makes the claim that student teachers' learning depends a great deal on the individual school department where they are working, its social practices and the relationships of the teachers involved in initial teacher education (ITE). The paper considers how using a Cultural Historical Activity Theory (CHAT) lens to view data generated on…

Ask "Teaching Sociology": What Should Faculty Consider before Having Students Conduct Research in a Class?

ERIC Educational Resources Information Center

Lowney, Kathleen S.

2014-01-01

There are many things that sociology faculty have to consider as they begin planning a student course such as: (1) why students need to understand scientific methods, by conducting research for themselves; (2) What specific learning goals and objectives will be met by students doing research, either individually or collectively?; (3) Why do…

The Impact of Collaborative Groups versus Individuals in Undergraduate Inquiry-Based Astronomy Laboratory Learning Exercises

ERIC Educational Resources Information Center

Sibbernsen, Kendra J.

2010-01-01

One of the long-standing general undergraduate education requirements common to many colleges and universities is a science course with a laboratory experience component. One of the objectives frequently included in the description of most of these courses is that a student will understand the nature and processes of scientific inquiry. However,…

Do I Really Teach for America? Reflections of a Teach for America Teacher

ERIC Educational Resources Information Center

Diamond, Alex

2010-01-01

If one knows what to look for, it is not hard to spot a Teach for America (TFA) classroom. Typically, on one wall, a "Big Goal" poster proclaims the class objective: "Students will, on average, achieve 80 percent of their learning goals based on state standards." On another, tracking charts show the progress of individual students toward meeting…

Creating Domain Independent Adaptive E-Learning Systems Using the Sharable Content Object Reference Model

ERIC Educational Resources Information Center

Watson, Jason; Ahmed, Pervaiz K.; Hardaker, Glenn

2007-01-01

Purpose: This research aims to investigate how a generic web-based ITS can be created which will adapt the training content in real time, to the needs of the individual trainee across any domain. Design/methodology/approach: After examining the various alternatives SCORM was adopted in this project because it provided an infrastructure that makes…

Inequality in Participation in Adult Learning and Education (ALE): Effects of Micro- and Macro-Level Factors through a Comparative Study

ERIC Educational Resources Information Center

Lee, Jeongwoo

2017-01-01

The objectives of this dissertation include describing and analyzing the patterns of inequality in ALE participation at both the micro and macro levels. Special attention is paid to social origins of individual adults and their association with two groups of macro-level factors, social inequality (income, education, and skill inequality) and…

Automatic MeSH term assignment and quality assessment.

PubMed Central

Kim, W.; Aronson, A. R.; Wilbur, W. J.

2001-01-01

For computational purposes documents or other objects are most often represented by a collection of individual attributes that may be strings or numbers. Such attributes are often called features and success in solving a given problem can depend critically on the nature of the features selected to represent documents. Feature selection has received considerable attention in the machine learning literature. In the area of document retrieval we refer to feature selection as indexing. Indexing has not traditionally been evaluated by the same methods used in machine learning feature selection. Here we show how indexing quality may be evaluated in a machine learning setting and apply this methodology to results of the Indexing Initiative at the National Library of Medicine. PMID:11825203

Leadership development in UK medical training: pedagogical theory and practice.

PubMed

Bekas, Stavros

2015-01-01

PHENOMENON: The central role of clinical leadership in achieving the vision of quality and productivity could be attained by investing in its development in postgraduate medical education. A critical review of selected literature is presented. The author identifies some of the main theoretical constructs related to leadership; the pedagogical underpinning of medical leadership programs; their learning objectives; and the mixture of methods, individual and collective, to achieve them. INSIGHTS: How to best develop leadership through medical education remains an open debate. Experiential learning, reflective practice, action learning, and mentoring could provide the foundations of leadership development. Application of the aforementioned should be cautious due to limitations of the concept of leadership as currently promoted and lack of robust evaluation methodologies.

New Learning - The IPP Programme: Improvements in Learning and Self Esteem by Changing the Organization of Learning

NASA Astrophysics Data System (ADS)

Garber, Klaus; Ausserer, Oskar; Giacomuzzi, Salvatore

"New learning" is basically an individualized learning style. "New learning" starts by the individual itself. The individual is the basis for conditions, learning contents, rhythm, duration and intensity of the teaching. The appropriate slogan is: fetch the individual at his personal conditions.

Assessing Learning, Quality and Engagement in Learning Objects: The Learning Object Evaluation Scale for Students (LOES-S)

ERIC Educational Resources Information Center

Kay, Robin H.; Knaack, Liesel

2009-01-01

Learning objects are interactive web-based tools that support the learning of specific concepts by enhancing, amplifying, and/or guiding the cognitive processes of learners. Research on the impact, effectiveness, and usefulness of learning objects is limited, partially because comprehensive, theoretically based, reliable, and valid evaluation…

Liberating Learning Object Design from the Learning Style of Student Instructional Designers

ERIC Educational Resources Information Center

Akpinar, Yavuz

2007-01-01

Learning objects are a new form of learning resource, and the design of these digital environments has many facets. To investigate senior instructional design students' use of reflection tools in designing learning objects, a series of studies was conducted using the Reflective Action Instructional Design and Learning Object Review Instrument…

Feedback-Driven Trial-by-Trial Learning in Autism Spectrum Disorders

PubMed Central

Solomon, Marjorie; Frank, Michael J.; Ragland, J. Daniel; Smith, Anne C.; Niendam, Tara A.; Lesh, Tyler A.; Grayson, David S.; Beck, Jonathan S.; Matter, John C.; Carter, Cameron S.

2017-01-01

Objective Impairments in learning are central to autism spectrum disorders. The authors investigated the cognitive and neural basis of these deficits in young adults with autism spectrum disorders using a well-characterized probabilistic reinforcement learning paradigm. Method The probabilistic selection task was implemented among matched participants with autism spectrum disorders (N=22) and with typical development (N=25), aged 18–40 years, using rapid event-related functional MRI. Participants were trained to choose the correct stimulus in high-probability (AB), medium-probability (CD), and low-probability (EF) pairs, presented with valid feedback 80%, 70%, and 60% of the time, respectively. Whole-brain voxel-wise and parametric modulator analyses examined early and late learning during the stimulus and feedback epochs of the task. Results The groups exhibited comparable performance on medium- and low-probability pairs. Typically developing persons showed higher accuracy on the high-probability pair, better win-stay performance (selection of the previously rewarded stimulus on the next trial of that type), and more robust recruitment of the anterior and medial prefrontal cortex during the stimulus epoch, suggesting development of an intact reward-based working memory for recent stimulus values. Throughout the feedback epoch, individuals with autism spectrum disorders exhibited greater recruitment of the anterior cingulate and orbito-frontal cortices compared with individuals with typical development, indicating continuing trial-by-trial activity related to feedback processing. Conclusions Individuals with autism spectrum disorders exhibit learning deficits reflecting impaired ability to develop an effective reward-based working memory to guide stimulus selection. Instead, they continue to rely on trial-by-trial feedback processing to support learning dependent upon engagement of the anterior cingulate and orbito-frontal cortices. PMID:25158242

Learning Objects and Gerontology

ERIC Educational Resources Information Center

Weinreich, Donna M.; Tompkins, Catherine J.

2006-01-01

Virtual AGE (vAGE) is an asynchronous educational environment that utilizes learning objects focused on gerontology and a learning anytime/anywhere philosophy. This paper discusses the benefits of asynchronous instruction and the process of creating learning objects. Learning objects are "small, reusable chunks of instructional media" Wiley…

Objective Fidelity Evaluation in Multisensory Virtual Environments: Auditory Cue Fidelity in Flight Simulation

PubMed Central

Meyer, Georg F.; Wong, Li Ting; Timson, Emma; Perfect, Philip; White, Mark D.

2012-01-01

We argue that objective fidelity evaluation of virtual environments, such as flight simulation, should be human-performance-centred and task-specific rather than measure the match between simulation and physical reality. We show how principled experimental paradigms and behavioural models to quantify human performance in simulated environments that have emerged from research in multisensory perception provide a framework for the objective evaluation of the contribution of individual cues to human performance measures of fidelity. We present three examples in a flight simulation environment as a case study: Experiment 1: Detection and categorisation of auditory and kinematic motion cues; Experiment 2: Performance evaluation in a target-tracking task; Experiment 3: Transferrable learning of auditory motion cues. We show how the contribution of individual cues to human performance can be robustly evaluated for each task and that the contribution is highly task dependent. The same auditory cues that can be discriminated and are optimally integrated in experiment 1, do not contribute to target-tracking performance in an in-flight refuelling simulation without training, experiment 2. In experiment 3, however, we demonstrate that the auditory cue leads to significant, transferrable, performance improvements with training. We conclude that objective fidelity evaluation requires a task-specific analysis of the contribution of individual cues. PMID:22957068

eLearning: Is There a Place in Athletic Training Education?

PubMed Central

Wright, Kenneth E.; Stewart, Jeffrey; Wright, Vivian H.; Barker, Scott

2002-01-01

Objective: To provide an overview of current issue and research literature that discusses the use of eLearning in an academic curriculum. We address several components to be examined before eLearning is incorporated into athletic training education. Data Sources: We searched MEDLINE and Educational Resources Information Center (ERIC) from 2000 through 2002 using the key words distance education, online learning, and the individual research studies referenced in this article. Data Synthesis: Educational research studies have confirmed that multiple methods in instruction delivery exist. Within the changing culture of higher education, the use of effective communication tools has been shown to increase student knowledge and skills. Through eLearning, methods of instruction design are designed to be student centered and allow the educator to become a facilitator. Conclusions/Recommendations: Even though the use of eLearning faces many challenges in athletic training education, the research literature does support this method of instructional delivery in selected courses in athletic training education. PMID:12937546

eLearning: Is There a Place in Athletic Training Education?

PubMed

Wright, Kenneth E; Stewart, Jeffrey; Wright, Vivian H; Barker, Scott

2002-12-01

OBJECTIVE: To provide an overview of current issue and research literature that discusses the use of eLearning in an academic curriculum. We address several components to be examined before eLearning is incorporated into athletic training education. DATA SOURCES: We searched MEDLINE and Educational Resources Information Center (ERIC) from 2000 through 2002 using the key words distance education, online learning, and the individual research studies referenced in this article. DATA SYNTHESIS: Educational research studies have confirmed that multiple methods in instruction delivery exist. Within the changing culture of higher education, the use of effective communication tools has been shown to increase student knowledge and skills. Through eLearning, methods of instruction design are designed to be student centered and allow the educator to become a facilitator. CONCLUSIONS/RECOMMENDATIONS: Even though the use of eLearning faces many challenges in athletic training education, the research literature does support this method of instructional delivery in selected courses in athletic training education.

Patient source of learning about health technologies and ratings of trust in technologies used in their care

PubMed Central

Montague, Enid

2011-01-01

In order to design effective health technologies and systems, it is important to understand how patients learn and make decisions about health technologies used in their care. The objective of this study was to examine patients' source of learning about technologies used in their care and how the source related to their trust in the technology used. Individual face-to-face and telephone interviews were conducted with 24 patients. Thirteen unique sources of information about technology were identified and three major themes emerged; outside of the work system versus inside the work system, when the health information was provided, and the medium used. Patients used multiple sources outside of the health care work system to learn about technologies that will be used in their care. Results showed a relationship between learning about technologies from web sources and trust in technologies but no relationship between learning about technologies from health care providers and trust in technologies. PMID:20967654

A Person-Centered, Registry-Based Learning Health System for Palliative Care: A Path to Coproducing Better Outcomes, Experience, Value, and Science

PubMed Central

Kamal, Arif H.; Kirkland, Kathryn B.; Meier, Diane E.; Nelson, Eugene C.; Pantilat, Steven Z.

2018-01-01

Abstract Background: Palliative care offers an approach to the care of people with serious illness that focuses on quality of life and aligning care with individual and family goals, and values in the context of what is medically achievable. Objective: Measurement of the impact of palliative care is critical for determining what works for which patients in what settings, to learn, improve care, and ensure access to high value care for people with serious illness. Methods: A learning health system that includes patients and families partnering with clinicians and care teams, is directly linked to a registry to support networks for improvement and research, and offers an ideal framework for measuring what matters to a range of stakeholders interested in improving care for this population. Measurements: Measurement focuses on the individual patient and family experience as the fundamental outcome of interest around which all care delivery is organized. Results: We describe an approach to codesigning and implementing a palliative care registry that functions as a learning health system, by combining patient and family inputs and clinical data to support person-centered care, quality improvement, accountability, transparency, and scientific research. Discussion: The potential for a palliative care learning health system that, by design, brings together enriched information environments to support coproduction of healthcare and facilitated peer networks to support patients and families, collaborative clinician networks to support palliative care program improvement, and collaboratories to support research and the application of research to benefit individual patients is immense. PMID:29091509

Sleep Benefits Memory for Semantic Category Structure While Preserving Exemplar-Specific Information.

PubMed

Schapiro, Anna C; McDevitt, Elizabeth A; Chen, Lang; Norman, Kenneth A; Mednick, Sara C; Rogers, Timothy T

2017-11-01

Semantic memory encompasses knowledge about both the properties that typify concepts (e.g. robins, like all birds, have wings) as well as the properties that individuate conceptually related items (e.g. robins, in particular, have red breasts). We investigate the impact of sleep on new semantic learning using a property inference task in which both kinds of information are initially acquired equally well. Participants learned about three categories of novel objects possessing some properties that were shared among category exemplars and others that were unique to an exemplar, with exposure frequency varying across categories. In Experiment 1, memory for shared properties improved and memory for unique properties was preserved across a night of sleep, while memory for both feature types declined over a day awake. In Experiment 2, memory for shared properties improved across a nap, but only for the lower-frequency category, suggesting a prioritization of weakly learned information early in a sleep period. The increase was significantly correlated with amount of REM, but was also observed in participants who did not enter REM, suggesting involvement of both REM and NREM sleep. The results provide the first evidence that sleep improves memory for the shared structure of object categories, while simultaneously preserving object-unique information.

[ICT'S AND ETHICS: AN E-LEARNING EXPERIENCE AT THE FACULTY OF MEDICINE].

PubMed

Bolly, Cécile

2016-01-01

A long-distance training course was implemented to the academic program which teaches ethics to future doctors. Its main objective was to develop students' individual patient care skills to carry out an analysis on ethically problematic situations. Such procedures may seem paradoxical in a training course which aims to develop one's sensitivity to others; it does however help to accommodate the geographical constraints linked to students accessing their practical training (in a country's different hospitals or abroad) and provides students with a introductory course on e-learning organised by their university's learning centre. Said course provided a rigorous structure in view of preparing for this procedure, alternating meetings with work hours via a digital platform: precise and measurable objectives, scripted sequences, clear guidelines, diverse activities. Organising work around 4 progress reports provided students with some reassurance but also a degree of autonomy, reflecting what they will be able to offer their future patients. All interactions suggested by the teacher were successfully carried out via the platform (individually on one hand, in the context of a forum on the other hand) but also using collective supervision for certain students. The advantages of such a procedure have been highlighted by evaluating students' levels of satisfaction (via an online questionnaire), but also levels of personal involvement in their work. One dimension in particular deserves further attention: the place occupied by writing in the study of ethics, as well as patient care in general.

Effects of long-term voluntary exercise on learning and memory processes: dependency of the task and level of exercise.

PubMed

García-Capdevila, Sílvia; Portell-Cortés, Isabel; Torras-Garcia, Meritxell; Coll-Andreu, Margalida; Costa-Miserachs, David

2009-09-14

The effect of long-term voluntary exercise (running wheel) on anxiety-like behaviour (plus maze and open field) and learning and memory processes (object recognition and two-way active avoidance) was examined on Wistar rats. Because major individual differences in running wheel behaviour were observed, the data were analysed considering the exercising animals both as a whole and grouped according to the time spent in the running wheel (low, high, and very-high running). Although some variables related to anxiety-like behaviour seem to reflect an anxiogenic compatible effect, the view of the complete set of variables could be interpreted as an enhancement of defensive and risk assessment behaviours in exercised animals, without major differences depending on the exercise level. Effects on learning and memory processes were dependent on task and level of exercise. Two-way avoidance was not affected either in the acquisition or in the retention session, while the retention of object recognition task was affected. In this latter task, an enhancement in low running subjects and impairment in high and very-high running animals were observed.

An Investigation on the Correlation of Learner Styles and Learning Objects Characteristics in a Proposed Learning Objects Management Model (LOMM)

ERIC Educational Resources Information Center

Wanapu, Supachanun; Fung, Chun Che; Kerdprasop, Nittaya; Chamnongsri, Nisachol; Niwattanakul, Suphakit

2016-01-01

The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system.…

Evidence-based practice guidelines for instructing individuals with neurogenic memory impairments: what have we learned in the past 20 years?

PubMed

Ehlhardt, Laurie A; Sohlberg, McKay Moore; Kennedy, Mary; Coelho, Carl; Ylvisaker, Mark; Turkstra, Lyn; Yorkston, Kathryn

2008-06-01

This article examines the instructional research literature pertinent to teaching procedures or information to individuals with acquired memory impairments due to brain injury or related conditions. The purpose is to evaluate the available evidence in order to generate practice guidelines for clinicians working in the field of cognitive rehabilitation. A systematic review of the instructional literature from 1986 to 2006 revealed 51 studies meeting search criteria. Studies were analysed and coded within the following four key domains: Population Sample, Intervention, Study Design, and Treatment Outcomes. Coding included 17 characteristics of the population sample; seven intervention parameters; five study design features; and five treatment outcome parameters. Interventions that were evaluated included systematic instructional techniques such as method of vanishing cues and errorless learning. The majority of the studies reported positive outcomes in favour of systematic instruction. However, issues related to the design and execution of effective instruction lack clarity and require further study. The interaction between the target learning objective and the individual learner profile is not well understood. The evidence review concludes with clinical recommendations based on the instructional literature and a call to clinicians to incorporate these methods into their practice to maximise patient outcomes.

The influence of the learning climate on learning outcomes from Marte Meo counselling in dementia care.

PubMed

Alnes, Rigmor Einang; Kirkevold, Marit; Skovdahl, Kirsti

2013-01-01

  To identify factors that affected the learning outcomes from Marte Meo counselling (MMC).   Although MMC has shown promising results regarding learning outcomes for staff working in dementia-specific care units, the outcomes differ.   Twelve individual interviews and four focus group interviews with staff who had participated in MMC were analysed through a qualitative content analysis.   The learning climate has considerable significance for the experienced benefit of MMC and indicate that this learning climate depends on three conditions: establishing a common understanding of the content and form of MMC, ensuring staff's willingness to participate and the opportunity to do so, and securing an arena in the unit for discussion and interactions.   Learning outcomes from MMC in dementia-specific care units appear to depend on the learning climate in the unit. Implication for nursing management  The learning climate needs attention from the nursing management when establishing Marte Meo intervention in nursing homes. The learning climate can be facilitated through building common understandings in the units regarding why and how this intervention should take place, and by ensuring clarity in the relationship between the intervention and the organization's objectives. © 2012 Blackwell Publishing Ltd.

NASA Astronaut Selection 2009: Behavioral Overview

NASA Technical Reports Server (NTRS)

Holland, A. W.; Sipes, W.; Beven, G.; Schmidt, L.; Slack, K.; Seaton, K.; Moomaw, R.; VanderArk, S.

2010-01-01

NASA's multi-phase U.S. astronaut selection process seeks to identify the most qualified astronaut candidates from a large number of applicants. With the approaching retirement of the Space Shuttle, NASA focused on selecting those individuals who were most suited to the unique demands of long-duration spaceflight. In total, NASA received 3,535 applications for the 2009 astronaut selection cycle. Of these, 123 were invited to NASA Johnson Space Center (JSC) for Round 1 initial screening and interviews, which consisted of an Astronaut Selection Board (ASB) preliminary interview, medical review, and psychological testing. Of these, 48 individuals were invited to return for Round 2. This round consisted of medical testing, further behavioral assessments, and a second ASB interview. Following this, nine astronaut candidates (ASCANs) were ultimately chosen to go forward to basic training. The contents, benefits, and lessons learned from implementing this phased process will be discussed. The lessons learned can benefit the future selection of space flyers, whether they are NASA or commercial. Learning Objective: 1) Familiarization with the 2009 NASA behavioral screening process for astronaut applicants.

How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information.

PubMed

Tuarob, Suppawong; Tucker, Conrad S; Kumara, Soundar; Giles, C Lee; Pincus, Aaron L; Conroy, David E; Ram, Nilam

2017-04-01

It is believed that anomalous mental states such as stress and anxiety not only cause suffering for the individuals, but also lead to tragedies in some extreme cases. The ability to predict the mental state of an individual at both current and future time periods could prove critical to healthcare practitioners. Currently, the practical way to predict an individual's mental state is through mental examinations that involve psychological experts performing the evaluations. However, such methods can be time and resource consuming, mitigating their broad applicability to a wide population. Furthermore, some individuals may also be unaware of their mental states or may feel uncomfortable to express themselves during the evaluations. Hence, their anomalous mental states could remain undetected for a prolonged period of time. The objective of this work is to demonstrate the ability of using advanced machine learning based approaches to generate mathematical models that predict current and future mental states of an individual. The problem of mental state prediction is transformed into the time series forecasting problem, where an individual is represented as a multivariate time series stream of monitored physical and behavioral attributes. A personalized mathematical model is then automatically generated to capture the dependencies among these attributes, which is used for prediction of mental states for each individual. In particular, we first illustrate the drawbacks of traditional multivariate time series forecasting methodologies such as vector autoregression. Then, we show that such issues could be mitigated by using machine learning regression techniques which are modified for capturing temporal dependencies in time series data. A case study using the data from 150 human participants illustrates that the proposed machine learning based forecasting methods are more suitable for high-dimensional psychological data than the traditional vector autoregressive model in terms of both magnitude of error and directional accuracy. These results not only present a successful usage of machine learning techniques in psychological studies, but also serve as a building block for multiple medical applications that could rely on an automated system to gauge individuals' mental states. Copyright © 2017 Elsevier Inc. All rights reserved.

Metric Learning to Enhance Hyperspectral Image Segmentation

NASA Technical Reports Server (NTRS)

Thompson, David R.; Castano, Rebecca; Bue, Brian; Gilmore, Martha S.

2013-01-01

Unsupervised hyperspectral image segmentation can reveal spatial trends that show the physical structure of the scene to an analyst. They highlight borders and reveal areas of homogeneity and change. Segmentations are independently helpful for object recognition, and assist with automated production of symbolic maps. Additionally, a good segmentation can dramatically reduce the number of effective spectra in an image, enabling analyses that would otherwise be computationally prohibitive. Specifically, using an over-segmentation of the image instead of individual pixels can reduce noise and potentially improve the results of statistical post-analysis. In this innovation, a metric learning approach is presented to improve the performance of unsupervised hyperspectral image segmentation. The prototype demonstrations attempt a superpixel segmentation in which the image is conservatively over-segmented; that is, the single surface features may be split into multiple segments, but each individual segment, or superpixel, is ensured to have homogenous mineralogy.

Preferred strategies for workforce development: feedback from aged care workers.

PubMed

Choy, Sarojni; Henderson, Amanda

2016-11-01

Objective The aim of the present study was to investigate how aged care workers prefer to learn and be supported in continuing education and training activities. Methods Fifty-one workers in aged care facilities from metropolitan and rural settings across two states of Australia participated in a survey and interviews. Survey responses were analysed for frequencies and interview data provided explanations to the survey findings. Results The three most common ways workers were currently learning and prefer to continue to learn are: (1) everyday learning through work individually; (2) everyday learning through work individually assisted by other workers; and (3) everyday learning plus group training courses at work from the employer. The three most common types of provisions that supported workers in their learning were: (1) working and sharing with another person on the job; (2) direct teaching in a group (e.g. a trainer in a classroom at work); and (3) direct teaching by a workplace expert. Conclusions A wholly practice-based continuing education and training model is best suited for aged care workers. Two variations of this model could be considered: (1) a wholly practice-based model for individual learning; and (2) a wholly practice-based model with guidance from coworkers or other experts. Although the model is preferred by workers and convenient for employers, it needs to be well resourced. What is known about the topic? Learning needs for aged care workers are increasing significantly because of an aging population that demands more care workers. Workforce development is largely 'episodic', based on organisational requirements rather than systematic life-long learning. This study is part of a larger 3-year Australian research to investigate models of continuing education training. What does this paper add? Based on an analysis of survey and interview data from 51 workers, the present study suggests effective models of workforce development for aged care workers. What are the implications for practitioners? The effectiveness of the suggested models necessitates a culture where aged care workers' advancement in the workplace is valued and supported. Those responsible for the development of these workers need to be adequately prepared for mentoring and coaching in the workplace.

Individual Differences in the Shape Bias in Preschool Children with Specific Language Impairment and Typical Language Development: Theoretical and Clinical Implications

ERIC Educational Resources Information Center

Collisson, Beverly Anne; Grela, Bernard; Spaulding, Tammie; Rueckl, Jay G.; Magnuson, James S.

2015-01-01

We investigated whether preschool children with specific language impairment (SLI) exhibit the shape bias in word learning: the bias to generalize based on shape rather than size, color, or texture in an object naming context ("This is a wek; find another wek") but not in a non-naming similarity classification context ("See this?…

Games That Teach. Classroom Activities on Individual and Community Disaster Preparedness for Elementary and Secondary Schools.

ERIC Educational Resources Information Center

Office of Civil Defense (DOD), Washington, DC.

Thirty-four classroom games are listed in this self-contained guide for the purpose of teaching civil defense concepts and protective content as an integral part of the K-12 social studies curriculum. Objectives of the games in this book are: to develop an awareness of civil defense; to learn vocabulary used in civil defense functions; and, to…

SMART Optimization of a Parenting Program for Active Duty Families

DTIC Science & Technology

2017-10-01

study will conduct a randomized trial of individual cognitive behavioral therapy (CBT) intervention and a social-learning family therapy condition for...STATEMENT Approved for Public Release; Distribution Unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT The objective of this study is to provide ways...that it benefits service members, their partners, and their children . The program appears to improve parents’ sense of control, or feelings of

Virtual Workshop Environment (VWE): A Taxonomy and Service Oriented Architecture (SOA) Framework for Modularized Virtual Learning Environments (VLE)--Applying the Learning Object Concept to the VLE

ERIC Educational Resources Information Center

Paulsson, Fredrik; Naeve, Ambjorn

2006-01-01

Based on existing Learning Object taxonomies, this article suggests an alternative Learning Object taxonomy, combined with a general Service Oriented Architecture (SOA) framework, aiming to transfer the modularized concept of Learning Objects to modularized Virtual Learning Environments. The taxonomy and SOA-framework exposes a need for a clearer…

Can social semantic web techniques foster collaborative curriculum mapping in medicine?

PubMed

Spreckelsen, Cord; Finsterer, Sonja; Cremer, Jan; Schenkat, Hennig

2013-08-15

Curriculum mapping, which is aimed at the systematic realignment of the planned, taught, and learned curriculum, is considered a challenging and ongoing effort in medical education. Second-generation curriculum managing systems foster knowledge management processes including curriculum mapping in order to give comprehensive support to learners, teachers, and administrators. The large quantity of custom-built software in this field indicates a shortcoming of available IT tools and standards. The project reported here aims at the systematic adoption of techniques and standards of the Social Semantic Web to implement collaborative curriculum mapping for a complete medical model curriculum. A semantic MediaWiki (SMW)-based Web application has been introduced as a platform for the elicitation and revision process of the Aachen Catalogue of Learning Objectives (ACLO). The semantic wiki uses a domain model of the curricular context and offers structured (form-based) data entry, multiple views, structured querying, semantic indexing, and commenting for learning objectives ("LOs"). Semantic indexing of learning objectives relies on both a controlled vocabulary of international medical classifications (ICD, MeSH) and a folksonomy maintained by the users. An additional module supporting the global checking of consistency complements the semantic wiki. Statements of the Object Constraint Language define the consistency criteria. We evaluated the application by a scenario-based formative usability study, where the participants solved tasks in the (fictional) context of 7 typical situations and answered a questionnaire containing Likert-scaled items and free-text questions. At present, ACLO contains roughly 5350 operational (ie, specific and measurable) objectives acquired during the last 25 months. The wiki-based user interface uses 13 online forms for data entry and 4 online forms for flexible searches of LOs, and all the forms are accessible by standard Web browsers. The formative usability study yielded positive results (median rating of 2 ("good") in all 7 general usability items) and produced valuable qualitative feedback, especially concerning navigation and comprehensibility. Although not asked to, the participants (n=5) detected critical aspects of the curriculum (similar learning objectives addressed repeatedly and missing objectives), thus proving the system's ability to support curriculum revision. The SMW-based approach enabled an agile implementation of computer-supported knowledge management. The approach, based on standard Social Semantic Web formats and technology, represents a feasible and effectively applicable compromise between answering to the individual requirements of curriculum management at a particular medical school and using proprietary systems.

Machine learning in infrared object classification - an all-sky selection of YSO candidates

NASA Astrophysics Data System (ADS)

Marton, Gabor; Zahorecz, Sarolta; Toth, L. Viktor; Magnus McGehee, Peregrine; Kun, Maria

2015-08-01

Object classification is a fundamental and challenging problem in the era of big data. I will discuss up-to-date methods and their application to classify infrared point sources.We analysed the ALLWISE catalogue, the most recent public source catalogue of the Wide-field Infrared Survey Explorer (WISE) to compile a reliable list of Young Stellar Object (YSO) candidates. We tested and compared classical and up-to-date statistical methods as well, to discriminate source types like extragalactic objects, evolved stars, main sequence stars, objects related to the interstellar medium and YSO candidates by using their mid-IR WISE properties and associated near-IR 2MASS data.In the particular classification problem the Support Vector Machines (SVM), a class of supervised learning algorithm turned out to be the best tool. As a result we classify Class I and II YSOs with >90% accuracy while the fraction of contaminating extragalactic objects remains well below 1%, based on the number of known objects listed in the SIMBAD and VizieR databases. We compare our results to other classification schemes from the literature and show that the SVM outperforms methods that apply linear cuts on the colour-colour and colour-magnitude space. Our homogenous YSO candidate catalog can serve as an excellent pathfinder for future detailed observations of individual objects and a starting point of statistical studies that aim to add pieces to the big picture of star formation theory.

Is There a Relationship between Individual Learning, Team Learning, and Organizational Learning?

ERIC Educational Resources Information Center

Tanyaovalaksna, Sumeth; Li, Xiaobin

2013-01-01

Scholars suggest that there is a need for more research, particularly quantitative designs, that aim to examine the relationship between individual learning, team learning, and organizational learning. The purpose of this study is to investigate whether there is a relationship between perceived individual learning, team learning, and…

Developing Personal Learning Environments Based on Calm Technologies

NASA Astrophysics Data System (ADS)

Fiaidhi, Jinan

Educational technology is constantly evolving and growing, and it is inevitable that this progression will continually offer new and interesting advances in our world. The instigation of calm technologies for the delivery of education is another new approach now emerging. Calm technology aims to reduce the "excitement" of information overload by letting the learner select what information is at the center of their attention and what information need to be at the peripheral. In this paper we report on the adaptation of calm technologies in an educational setting with emphasis on the needs to cater the preferences of the individual learner to respond to the challenge of providing truly learner-centered, accessible, personalized and flexible learning. Central to calm computing vision is the notion of representing learning objects as widgets, harvesting widgets from the periphery based on semantic wikis as well as widgets garbage collection from the virtual/central learning memory.

Cognitive Load Measurement in a Virtual Reality-based Driving System for Autism Intervention

PubMed Central

Zhang, Lian; Wade, Joshua; Bian, Dayi; Fan, Jing; Swanson, Amy; Weitlauf, Amy; Warren, Zachary; Sarkar, Nilanjan

2016-01-01

Autism Spectrum Disorder (ASD) is a highly prevalent neurodevelopmental disorder with enormous individual and social cost. In this paper, a novel virtual reality (VR)-based driving system was introduced to teach driving skills to adolescents with ASD. This driving system is capable of gathering eye gaze, electroencephalography, and peripheral physiology data in addition to driving performance data. The objective of this paper is to fuse multimodal information to measure cognitive load during driving such that driving tasks can be individualized for optimal skill learning. Individualization of ASD intervention is an important criterion due to the spectrum nature of the disorder. Twenty adolescents with ASD participated in our study and the data collected were used for systematic feature extraction and classification of cognitive loads based on five well-known machine learning methods. Subsequently, three information fusion schemes—feature level fusion, decision level fusion and hybrid level fusion—were explored. Results indicate that multimodal information fusion can be used to measure cognitive load with high accuracy. Such a mechanism is essential since it will allow individualization of driving skill training based on cognitive load, which will facilitate acceptance of this driving system for clinical use and eventual commercialization. PMID:28966730

Cognitive Load Measurement in a Virtual Reality-based Driving System for Autism Intervention.

PubMed

Zhang, Lian; Wade, Joshua; Bian, Dayi; Fan, Jing; Swanson, Amy; Weitlauf, Amy; Warren, Zachary; Sarkar, Nilanjan

2017-01-01

Autism Spectrum Disorder (ASD) is a highly prevalent neurodevelopmental disorder with enormous individual and social cost. In this paper, a novel virtual reality (VR)-based driving system was introduced to teach driving skills to adolescents with ASD. This driving system is capable of gathering eye gaze, electroencephalography, and peripheral physiology data in addition to driving performance data. The objective of this paper is to fuse multimodal information to measure cognitive load during driving such that driving tasks can be individualized for optimal skill learning. Individualization of ASD intervention is an important criterion due to the spectrum nature of the disorder. Twenty adolescents with ASD participated in our study and the data collected were used for systematic feature extraction and classification of cognitive loads based on five well-known machine learning methods. Subsequently, three information fusion schemes-feature level fusion, decision level fusion and hybrid level fusion-were explored. Results indicate that multimodal information fusion can be used to measure cognitive load with high accuracy. Such a mechanism is essential since it will allow individualization of driving skill training based on cognitive load, which will facilitate acceptance of this driving system for clinical use and eventual commercialization.

Expression of HIV-Tat protein is associated with learning and memory deficits in the mouse

PubMed Central

Carey, Amanda N.; Sypek, Elizabeth I.; Singh, Harminder D.; Kaufman, Marc J.; McLaughlin, Jay P.

2012-01-01

HIV-Tat protein has been implicated in the pathogenesis of HIV-1 neurological complications (i.e., neuroAIDS), but direct demonstrations of the effects of Tat on behavior are limited. GT-tg mice with a doxycycline (Dox)-inducible and brain-selective tat gene coding for Tat protein were used to test the hypothesis that the activity of Tat in brain is sufficient to impair learning and memory processes. Western blot analysis of GT-tg mouse brains demonstrated an increase in Tat antibody labeling that seemed to be dependent on the dose and duration of Dox pretreatment. Dox-treated GT-tg mice tested in the Barnes maze demonstrated longer latencies to find an escape hole and displayed deficits in probe trial performance, versus uninduced GT-tg littermates, suggesting Tat-induced impairments of spatial learning and memory. Reversal learning was also impaired in Tat-induced mice. Tat-induced mice additionally demonstrated long-lasting (up to one month) deficiencies in novel object recognition learning and memory performance. Furthermore, novel object recognition impairment was dependent on the dose and duration of Dox exposure, suggesting that Tat exposure progressively mediated deficits. These experiments provide evidence that Tat protein expression is sufficient to mediate cognitive abnormalities seen in HIV-infected individuals. Moreover, the genetically engineered GT-tg mouse may be useful for improving our understanding of the neurological underpinnings of neuroAIDS-related behaviors. PMID:22197678

First comparative approach to touchscreen-based visual object-location paired-associates learning in humans (Homo sapiens) and a nonhuman primate (Microcebus murinus).

PubMed

Schmidtke, Daniel; Ammersdörfer, Sandra; Joly, Marine; Zimmermann, Elke

2018-05-10

A recent study suggests that a specific, touchscreen-based task on visual object-location paired-associates learning (PAL), the so-called Different PAL (dPAL) task, allows effective translation from animal models to humans. Here, we adapted the task to a nonhuman primate (NHP), the gray mouse lemur, and provide first evidence for the successful comparative application of the task to humans and NHPs. Young human adults reach the learning criterion after considerably less sessions (one order of magnitude) than young, adult NHPs, which is likely due to faster and voluntary rejection of ineffective learning strategies in humans and almost immediate rule generalization. At criterion, however, all human subjects solved the task by either applying a visuospatial rule or, more rarely, by memorizing all possible stimulus combinations and responding correctly based on global visual information. An error-profile analysis in humans and NHPs suggests that successful learning in NHPs is comparably based either on the formation of visuospatial associative links or on more reflexive, visually guided stimulus-response learning. The classification in the NHPs is further supported by an analysis of the individual response latencies, which are considerably higher in NHPs classified as spatial learners. Our results, therefore, support the high translational potential of the standardized, touchscreen-based dPAL task by providing first empirical and comparable evidence for two different cognitive processes underlying dPAL performance in primates. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Learned filters for object detection in multi-object visual tracking

NASA Astrophysics Data System (ADS)

Stamatescu, Victor; Wong, Sebastien; McDonnell, Mark D.; Kearney, David

2016-05-01

We investigate the application of learned convolutional filters in multi-object visual tracking. The filters were learned in both a supervised and unsupervised manner from image data using artificial neural networks. This work follows recent results in the field of machine learning that demonstrate the use learned filters for enhanced object detection and classification. Here we employ a track-before-detect approach to multi-object tracking, where tracking guides the detection process. The object detection provides a probabilistic input image calculated by selecting from features obtained using banks of generative or discriminative learned filters. We present a systematic evaluation of these convolutional filters using a real-world data set that examines their performance as generic object detectors.

Spatiotemporal information during unsupervised learning enhances viewpoint invariant object recognition

PubMed Central

Tian, Moqian; Grill-Spector, Kalanit

2015-01-01

Recognizing objects is difficult because it requires both linking views of an object that can be different and distinguishing objects with similar appearance. Interestingly, people can learn to recognize objects across views in an unsupervised way, without feedback, just from the natural viewing statistics. However, there is intense debate regarding what information during unsupervised learning is used to link among object views. Specifically, researchers argue whether temporal proximity, motion, or spatiotemporal continuity among object views during unsupervised learning is beneficial. Here, we untangled the role of each of these factors in unsupervised learning of novel three-dimensional (3-D) objects. We found that after unsupervised training with 24 object views spanning a 180° view space, participants showed significant improvement in their ability to recognize 3-D objects across rotation. Surprisingly, there was no advantage to unsupervised learning with spatiotemporal continuity or motion information than training with temporal proximity. However, we discovered that when participants were trained with just a third of the views spanning the same view space, unsupervised learning via spatiotemporal continuity yielded significantly better recognition performance on novel views than learning via temporal proximity. These results suggest that while it is possible to obtain view-invariant recognition just from observing many views of an object presented in temporal proximity, spatiotemporal information enhances performance by producing representations with broader view tuning than learning via temporal association. Our findings have important implications for theories of object recognition and for the development of computational algorithms that learn from examples. PMID:26024454

To call a cloud 'cirrus': sound symbolism in names for categories or items.

PubMed

Ković, Vanja; Sučević, Jelena; Styles, Suzy J

2017-01-01

The aim of the present paper is to experimentally test whether sound symbolism has selective effects on labels with different ranges-of-reference within a simple noun-hierarchy. In two experiments, adult participants learned the make up of two categories of unfamiliar objects ('alien life forms'), and were passively exposed to either category-labels or item-labels, in a learning-by-guessing categorization task. Following category training, participants were tested on their visual discrimination of object pairs. For different groups of participants, the labels were either congruent or incongruent with the objects. In Experiment 1, when trained on items with individual labels, participants were worse (made more errors) at detecting visual object mismatches when trained labels were incongruent. In Experiment 2, when participants were trained on items in labelled categories, participants were faster at detecting a match if the trained labels were congruent, and faster at detecting a mismatch if the trained labels were incongruent. This pattern of results suggests that sound symbolism in category labels facilitates later similarity judgments when congruent, and discrimination when incongruent, whereas for item labels incongruence generates error in judgements of visual object differences. These findings reveal that sound symbolic congruence has a different outcome at different levels of labelling within a noun hierarchy. These effects emerged in the absence of the label itself, indicating subtle but pervasive effects on visual object processing.

Innovation in pediatric clinical education: application of the essential competencies.

PubMed

Kenyon, Lisa K; Birkmeier, Marisa; Anderson, Deborah K; Martin, Kathy

2015-01-01

At the Section on Pediatrics Education Summit in July 2012, consensus was achieved on 5 essential core competencies (ECCs) that represent a knowledge base essential to all graduates of professional physical therapist education programs. This article offers suggestions for how clinical instructors (CIs) might use the ECCs to identify student needs and guide student learning during a pediatric clinical education experience. Pediatric CIs potentially might choose to use the ECCs as a reference tool in clinical education to help (1) organize and develop general, clinic-specific clinical education objectives, (2) develop and plan individualized student learning experiences, (3) identify student needs, and (4) show progression of student learning from beginner to intermediate to entry level. The ECCs may offer CIs insights into the role of pediatric clinical education in professional physical therapist education.

Teacher's opinion about learning continuum of genetics based on student's level of competence

NASA Astrophysics Data System (ADS)

Juniati, Etika; Subali, Bambang

2017-08-01

This study focuses on designing learning continuum for developing a curriculum. The objective of this study is to get the opinion of junior and senior high school teachers about Learning Continuum based on Student's Level of Competence and Specific Pedagogical Learning Material on Aspect of Genetics Aspects. This research is a survey research involving 281 teachers from junior and senior high school teachers as respondents taken from five districts and city in Yogyakarta Special Region. The results of this study show that most of the junior high school teachers argue that sub aspects individual reproduction should be taught to students of grade VII and IX, virus reproduction at the grade X, and cell reproduction to mutation at the grade IX with level of competence to understand (C2) while most of the senior high school teachers argue that sub aspects individual, cell, and virus reproduction must be taught to students of grade X and division mechanism to mutation at the grade XII with level of competence to understand (C2), apply (C3), and analyze (C4). Based on the opinion of teachers, sub concepts in genetics can be taught from junior high school with different in the scope of materials but learning continuum that has been developed is not relevant with the students cognitive development and their grades.

Effects of congruence between preferred and perceived learning environments in nursing education in Taiwan: a cross-sectional study

PubMed Central

Yeh, Ting-Kuang; Huang, Hsiu-Mei; Chan, Wing P; Chang, Chun-Yen

2016-01-01

Objective To investigate the effects of congruence between preferred and perceived learning environments on learning outcomes of nursing students. Setting A nursing course at a university in central Taiwan. Participants 124 Taiwanese nursing students enrolled in a 13-week problem-based Fundamental Nursing curriculum. Design and methods Students' preferred learning environment, perceptions about the learning environment and learning outcomes (knowledge, self-efficacy and attitudes) were assessed. On the basis of test scores measuring their preferred and perceived learning environments, students were assigned to one of two groups: a ‘preferred environment aligned with perceived learning environment’ group and a ‘preferred environment discordant with perceived learning environment’ group. Learning outcomes were analysed by group. Outcome measures Most participants preferred learning in a classroom environment that combined problem-based and lecture-based instruction. However, a mismatch of problem-based instruction with students' perceptions occurred. Learning outcomes were significantly better when students' perceptions of their instructional activities were congruent with their preferred learning environment. Conclusions As problem-based learning becomes a focus of educational reform in nursing, teachers need to be aware of students' preferences and perceptions of the learning environment. Teachers may also need to improve the match between an individual student's perception and a teacher's intention in the learning environment, and between the student's preferred and actual perceptions of the learning environment. PMID:27207620

Secure and Efficient Regression Analysis Using a Hybrid Cryptographic Framework: Development and Evaluation

PubMed Central

Jiang, Xiaoqian; Aziz, Md Momin Al; Wang, Shuang; Mohammed, Noman

2018-01-01

Background Machine learning is an effective data-driven tool that is being widely used to extract valuable patterns and insights from data. Specifically, predictive machine learning models are very important in health care for clinical data analysis. The machine learning algorithms that generate predictive models often require pooling data from different sources to discover statistical patterns or correlations among different attributes of the input data. The primary challenge is to fulfill one major objective: preserving the privacy of individuals while discovering knowledge from data. Objective Our objective was to develop a hybrid cryptographic framework for performing regression analysis over distributed data in a secure and efficient way. Methods Existing secure computation schemes are not suitable for processing the large-scale data that are used in cutting-edge machine learning applications. We designed, developed, and evaluated a hybrid cryptographic framework, which can securely perform regression analysis, a fundamental machine learning algorithm using somewhat homomorphic encryption and a newly introduced secure hardware component of Intel Software Guard Extensions (Intel SGX) to ensure both privacy and efficiency at the same time. Results Experimental results demonstrate that our proposed method provides a better trade-off in terms of security and efficiency than solely secure hardware-based methods. Besides, there is no approximation error. Computed model parameters are exactly similar to plaintext results. Conclusions To the best of our knowledge, this kind of secure computation model using a hybrid cryptographic framework, which leverages both somewhat homomorphic encryption and Intel SGX, is not proposed or evaluated to this date. Our proposed framework ensures data security and computational efficiency at the same time. PMID:29506966

The evaluation of simulation market in nursing education and the determination of learning style of students

PubMed Central

Çelik, Yasemin; Ceylantekin, Yeşim; Kiliç, İbrahim

2017-01-01

Objective: The aim of this study is to detect the overall evaluation of nursing students toward simulation markets throughout the practice education and to reveal their learning styles in relation to certain individual features. Materials and Methods: The data were collected via questionnaires including students’ evaluation toward simulation markets and “Kolb learning styles inventory.” Participants included 103 male and female nursing students in Turkey. For the analysis, percentage, means, standard deviation, t-test, and ANOVA were utilized. Results: 71% of the students stated that the laboratory was suitable for the skill education but 53.4% uttered the duration of the practice was not enough. Students were found to have different learning styles (28.2% assimilating, 27.2% convergent, 26.2% accommodating, and 18.4% divergent). Conclusion: The results demonstrated that the duration of the laboratory practice and the number of the markets should be increased during the education of students with different learning styles. PMID:28293150

The evaluation of simulation maket in nursing education and the determination of learning style of students

PubMed Central

Çelik, Yasemin; Ceylantekin, Yeşim; Kiliç, İbrahim

2017-01-01

Objective: The aim of this study is to detect the overall evaluation of nursing students toward simulation makets throughout the practice education and to reveal their learning styles in relation to certain individual features. Materials and Methods: The data were collected via questionnaires including students’ evaluation toward simulation makets and “Kolb learning styles inventory.” Participants included 103 male and female nursing students in Turkey. For the analysis, percentage, means, standard deviation, t-test, and ANOVA were utilized. Results: 71% of the students stated that the laboratory was suitable for the skill education but 53.4% uttered the duration of the practice was not enough. Students were found to have different learning styles (28.2% assimilating, 27.2% convergent, 26.2% accommodating, and 18.4% divergent). Conclusion: The results demonstrated that the duration of the laboratory practice and the number of the makets should be increased during the education of students with different learning styles. PMID:28936157

A Low-Cost Method for Multiple Disease Prediction.

PubMed

Bayati, Mohsen; Bhaskar, Sonia; Montanari, Andrea

Recently, in response to the rising costs of healthcare services, employers that are financially responsible for the healthcare costs of their workforce have been investing in health improvement programs for their employees. A main objective of these so called "wellness programs" is to reduce the incidence of chronic illnesses such as cardiovascular disease, cancer, diabetes, and obesity, with the goal of reducing future medical costs. The majority of these wellness programs include an annual screening to detect individuals with the highest risk of developing chronic disease. Once these individuals are identified, the company can invest in interventions to reduce the risk of those individuals. However, capturing many biomarkers per employee creates a costly screening procedure. We propose a statistical data-driven method to address this challenge by minimizing the number of biomarkers in the screening procedure while maximizing the predictive power over a broad spectrum of diseases. Our solution uses multi-task learning and group dimensionality reduction from machine learning and statistics. We provide empirical validation of the proposed solution using data from two different electronic medical records systems, with comparisons to a statistical benchmark.

Constructed-response matching to sample and spelling instruction.

PubMed Central

Dube, W V; McDonald, S J; McIlvane, W J; Mackay, H A

1991-01-01

The development of interactive programmed instruction using a microcomputer as a teaching machine is described. The program applied a constructed-response matching-to-sample procedure to computer-assisted spelling instruction and review. On each trial, subjects were presented with a sample stimulus and a choice pool consisting of 10 individual letters. In initial training, sample stimuli were arrays of letters, and subjects were taught to construct identical arrays by touching the matching letters in the choice pool. After generalized constructed-response identity matching was established, pictures (line drawings) of common objects were presented as samples. At first, correct spelling was prompted by also presenting the printed name to be "copied" via identity matching; then the prompts were faded out. The program was implemented with 2 mentally retarded individuals. Assessment trials determined appropriate words for training. Correct spelling was established via the prompt-fading procedure; training trials were interspersed among baseline trials that reviewed and maintained spelling of previously learned words. As new words were learned, they were added to a cumulative baseline to generate an individualized review and practice battery for each subject. PMID:1890049

View-invariant object category learning, recognition, and search: how spatial and object attention are coordinated using surface-based attentional shrouds.

PubMed

Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio

2009-02-01

How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified mechanistic explanation of how spatial and object attention work together to search a scene and learn what is in it. The ARTSCAN model predicts how an object's surface representation generates a form-fitting distribution of spatial attention, or "attentional shroud". All surface representations dynamically compete for spatial attention to form a shroud. The winning shroud persists during active scanning of the object. The shroud maintains sustained activity of an emerging view-invariant category representation while multiple view-specific category representations are learned and are linked through associative learning to the view-invariant object category. The shroud also helps to restrict scanning eye movements to salient features on the attended object. Object attention plays a role in controlling and stabilizing the learning of view-specific object categories. Spatial attention hereby coordinates the deployment of object attention during object category learning. Shroud collapse releases a reset signal that inhibits the active view-invariant category in the What cortical processing stream. Then a new shroud, corresponding to a different object, forms in the Where cortical processing stream, and search using attention shifts and eye movements continues to learn new objects throughout a scene. The model mechanistically clarifies basic properties of attention shifts (engage, move, disengage) and inhibition of return. It simulates human reaction time data about object-based spatial attention shifts, and learns with 98.1% accuracy and a compression of 430 on a letter database whose letters vary in size, position, and orientation. The model provides a powerful framework for unifying many data about spatial and object attention, and their interactions during perception, cognition, and action.

Student generated learning objectives: extent of congruence with faculty set objectives and factors influencing their generation.

PubMed

Abdul Ghaffar Al-Shaibani, Tarik A; Sachs-Robertson, Annette; Al Shazali, Hafiz O; Sequeira, Reginald P; Hamdy, Hosam; Al-Roomi, Khaldoon

2003-07-01

A problem-based learning strategy is used for curriculum planning and implementation at the Arabian Gulf University, Bahrain. Problems are constructed in a way that faculty-set objectives are expected to be identified by students during tutorials. Students in small groups, along with a tutor functioning as a facilitator, identify learning issues and define their learning objectives. We compared objectives identified by student groups with faculty-set objectives to determine extent of congruence, and identified factors that influenced students' ability at identifying faculty-set objectives. Male and female students were segregated and randomly grouped. A faculty tutor was allocated for each group. This study was based on 13 problems given to entry-level medical students. Pooled objectives of these problems were classified into four categories: structural, functional, clinical and psychosocial. Univariate analysis of variance was used for comparison, and a p > 0.05 was considered significant. The mean of overall objectives generated by the students was 54.2%, for each problem. Students identified psychosocial learning objectives more readily than structural ones. Female students identified more psychosocial objectives, whereas male students identified more of structural objectives. Tutor characteristics such as medical/non-medical background, and the years of teaching were correlated with categories of learning issues identified. Students identify part of the faculty-set learning objectives during tutorials with a faculty tutor acting as a facilitator. Students' gender influences types of learning issues identified. Content expertise of tutors does not influence identification of learning needs by students.

Mastery learning for health professionals using technology-enhanced simulation: a systematic review and meta-analysis.

PubMed

Cook, David A; Brydges, Ryan; Zendejas, Benjamin; Hamstra, Stanley J; Hatala, Rose

2013-08-01

Competency-based education requires individualization of instruction. Mastery learning, an instructional approach requiring learners to achieve a defined proficiency before proceeding to the next instructional objective, offers one approach to individualization. The authors sought to summarize the quantitative outcomes of mastery learning simulation-based medical education (SBME) in comparison with no intervention and nonmastery instruction, and to determine what features of mastery SBME make it effective. The authors searched MEDLINE, EMBASE, CINAHL, ERIC, PsycINFO, Scopus, key journals, and previous review bibliographies through May 2011. They included original research in any language evaluating mastery SBME, in comparison with any intervention or no intervention, for practicing and student physicians, nurses, and other health professionals. Working in duplicate, they abstracted information on trainees, instructional design (interactivity, feedback, repetitions, and learning time), study design, and outcomes. They identified 82 studies evaluating mastery SBME. In comparison with no intervention, mastery SBME was associated with large effects on skills (41 studies; effect size [ES] 1.29 [95% confidence interval, 1.08-1.50]) and moderate effects on patient outcomes (11 studies; ES 0.73 [95% CI, 0.36-1.10]). In comparison with nonmastery SBME instruction, mastery learning was associated with large benefit in skills (3 studies; effect size 1.17 [95% CI, 0.29-2.05]) but required more time. Pretraining and additional practice improved outcomes but, again, took longer. Studies exploring enhanced feedback and self-regulated learning in the mastery model showed mixed results. Limited evidence suggests that mastery learning SBME is superior to nonmastery instruction but takes more time.

Similar exemplar pooling processes underlie the learning of facial identity and handwriting style: Evidence from typical observers and individuals with Autism.

PubMed

Ipser, Alberta; Ring, Melanie; Murphy, Jennifer; Gaigg, Sebastian B; Cook, Richard

2016-05-01

Considerable research has addressed whether the cognitive and neural representations recruited by faces are similar to those engaged by other types of visual stimuli. For example, research has examined the extent to which objects of expertise recruit holistic representation and engage the fusiform face area. Little is known, however, about the domain-specificity of the exemplar pooling processes thought to underlie the acquisition of familiarity with particular facial identities. In the present study we sought to compare observers' ability to learn facial identities and handwriting styles from exposure to multiple exemplars. Crucially, while handwritten words and faces differ considerably in their topographic form, both learning tasks share a common exemplar pooling component. In our first experiment, we find that typical observers' ability to learn facial identities and handwriting styles from exposure to multiple exemplars correlates closely. In our second experiment, we show that observers with Autism Spectrum Disorder (ASD) are impaired at both learning tasks. Our findings suggest that similar exemplar pooling processes are recruited when learning facial identities and handwriting styles. Models of exemplar pooling originally developed to explain face learning, may therefore offer valuable insights into exemplar pooling across a range of domains, extending beyond faces. Aberrant exemplar pooling, possibly resulting from structural differences in the inferior longitudinal fasciculus, may underlie difficulties recognising familiar faces often experienced by individuals with ASD, and leave observers overly reliant on local details present in particular exemplars. Copyright © 2016 Elsevier Ltd. All rights reserved.

Dynamic Learning Objects to Teach Java Programming Language

ERIC Educational Resources Information Center

Narasimhamurthy, Uma; Al Shawkani, Khuloud

2010-01-01

This article describes a model for teaching Java Programming Language through Dynamic Learning Objects. The design of the learning objects was based on effective learning design principles to help students learn the complex topic of Java Programming. Visualization was also used to facilitate the learning of the concepts. (Contains 1 figure and 2…

A Framework for the Flexible Content Packaging of Learning Objects and Learning Designs

ERIC Educational Resources Information Center

Lukasiak, Jason; Agostinho, Shirley; Burnett, Ian; Drury, Gerrard; Goodes, Jason; Bennett, Sue; Lockyer, Lori; Harper, Barry

2004-01-01

This paper presents a platform-independent method for packaging learning objects and learning designs. The method, entitled a Smart Learning Design Framework, is based on the MPEG-21 standard, and uses IEEE Learning Object Metadata (LOM) to provide bibliographic, technical, and pedagogical descriptors for the retrieval and description of learning…

Object Oriented Learning Objects

ERIC Educational Resources Information Center

Morris, Ed

2005-01-01

We apply the object oriented software engineering (OOSE) design methodology for software objects (SOs) to learning objects (LOs). OOSE extends and refines design principles for authoring dynamic reusable LOs. Our learning object class (LOC) is a template from which individualised LOs can be dynamically created for, or by, students. The properties…

Creating Usage Context-Based Object Similarities to Boost Recommender Systems in Technology Enhanced Learning

ERIC Educational Resources Information Center

Niemann, Katja; Wolpers, Martin

2015-01-01

In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…

[Competence Based Catalogue of Learning Objectives for Rehabilitation, Physical Medicine, Naturopathic Treatment - Revised Version - Joint Recommendations of the German Society of Rehabilitation Science and the German Society of Physical Medicine and Rehabilitation].

PubMed

Mau, Wilfried; Liebl, Max Emanuel; Deck, Ruth; Lange, Uwe; Smolenski, Ulrich Christian; Walter, Susanne; Gutenbrunner, Christoph

2017-12-01

Since the first publication of learning objectives for the interdisciplinary subject "Rehabilitation, Physical Medicine, Naturopathic Treatment" in undergraduate medical education in 2004 a revision is reasonable due to heterogenous teaching programmes in the faculties and the introduction of the National Competence Based Catalogue of Learning Objectives in Medicine as well as the "Masterplan Medical Education 2020". Therefore the German Society of Rehabilitation Science and the German Society of Physical Medicine and Rehabilitation started a structured consensus process using the DELPHI-method to reduce the learning objectives and arrange them more clearly. Objectives of particular significance are emphasised. All learning objectives are assigned to the cognitive and methodological level 1 or to the action level 2. The learning objectives refer to the less detailed National Competence Based Catalogue of Learning Objectives in Medicine. The revised learning objectives will contribute to further progress in competence based and more homogenous medical teaching in core objectives of Rehabilitation, Physical Medicine, and Naturopathic Treatment in the faculties. © Georg Thieme Verlag KG Stuttgart · New York.

Training Synesthetic Letter-color Associations by Reading in Color

PubMed Central

Colizoli, Olympia; Murre, Jaap M. J.; Rouw, Romke

2014-01-01

Synesthesia is a rare condition in which a stimulus from one modality automatically and consistently triggers unusual sensations in the same and/or other modalities. A relatively common and well-studied type is grapheme-color synesthesia, defined as the consistent experience of color when viewing, hearing and thinking about letters, words and numbers. We describe our method for investigating to what extent synesthetic associations between letters and colors can be learned by reading in color in nonsynesthetes. Reading in color is a special method for training associations in the sense that the associations are learned implicitly while the reader reads text as he or she normally would and it does not require explicit computer-directed training methods. In this protocol, participants are given specially prepared books to read in which four high-frequency letters are paired with four high-frequency colors. Participants receive unique sets of letter-color pairs based on their pre-existing preferences for colored letters. A modified Stroop task is administered before and after reading in order to test for learned letter-color associations and changes in brain activation. In addition to objective testing, a reading experience questionnaire is administered that is designed to probe for differences in subjective experience. A subset of questions may predict how well an individual learned the associations from reading in color. Importantly, we are not claiming that this method will cause each individual to develop grapheme-color synesthesia, only that it is possible for certain individuals to form letter-color associations by reading in color and these associations are similar in some aspects to those seen in developmental grapheme-color synesthetes. The method is quite flexible and can be used to investigate different aspects and outcomes of training synesthetic associations, including learning-induced changes in brain function and structure. PMID:24638033

Evolutionarily stable learning schedules and cumulative culture in discrete generation models.

PubMed

Aoki, Kenichi; Wakano, Joe Yuichiro; Lehmann, Laurent

2012-06-01

Individual learning (e.g., trial-and-error) and social learning (e.g., imitation) are alternative ways of acquiring and expressing the appropriate phenotype in an environment. The optimal choice between using individual learning and/or social learning may be dictated by the life-stage or age of an organism. Of special interest is a learning schedule in which social learning precedes individual learning, because such a schedule is apparently a necessary condition for cumulative culture. Assuming two obligatory learning stages per discrete generation, we obtain the evolutionarily stable learning schedules for the three situations where the environment is constant, fluctuates between generations, or fluctuates within generations. During each learning stage, we assume that an organism may target the optimal phenotype in the current environment by individual learning, and/or the mature phenotype of the previous generation by oblique social learning. In the absence of exogenous costs to learning, the evolutionarily stable learning schedules are predicted to be either pure social learning followed by pure individual learning ("bang-bang" control) or pure individual learning at both stages ("flat" control). Moreover, we find for each situation that the evolutionarily stable learning schedule is also the one that optimizes the learned phenotype at equilibrium. Copyright © 2012 Elsevier Inc. All rights reserved.

Accounting Clerk Guide, Instructor Packet--Part I. A Spec Unit for the 10th, 11th, or 12th Grade. A Career Education Unit (An Edited Developmental Draft).

ERIC Educational Resources Information Center

Foster, Brian; And Others

The instructor packet is part of an eight volume unit for grades 10, 11, and 12, designed for individualized progression in preparing students for entry into the occupation of accounting clerk. The instructor packet lists performance objectives, vocabulary, learning tasks, and supplemental activities for lessons 1 through 11. It also includes…

Training Analyses Supporting the Land Warrior and Ground Soldier Systems

DTIC Science & Technology

2009-07-01

unit with LW and MW expressed in terms of unit force effectiveness, impacts to the DOTMLPF domains, life cycle cost, and ability to mitigate Joint...other individual tasks, Soldier and/or leader, be added to NET; should any be eliminated? What methods of instruction/resources should remain the...presentation of the training observation results from the nine-day NET. Terminal Learning Objectives The NET POI ( Omega Training Group, 2006

The Relationship of Individual Difference and Group Process Variables with Self-Managed Team Performance: A Field Investigation

DTIC Science & Technology

2001-12-15

emotional stability, openness to experience, agreeableness, learning and performance goal orientation) and process variables ( social cohesion and group...both subjective performance measures and 6 of the 7 objective performance measures over that of social cohesion . Social cohesion predicted unique...variance in team member satisfaction over that of group potency. Additionally, social cohesion mediated the relationship between agreeableness and team

Individual differences in cortical face selectivity predict behavioral performance in face recognition

PubMed Central

Huang, Lijie; Song, Yiying; Li, Jingguang; Zhen, Zonglei; Yang, Zetian; Liu, Jia

2014-01-01

In functional magnetic resonance imaging studies, object selectivity is defined as a higher neural response to an object category than other object categories. Importantly, object selectivity is widely considered as a neural signature of a functionally-specialized area in processing its preferred object category in the human brain. However, the behavioral significance of the object selectivity remains unclear. In the present study, we used the individual differences approach to correlate participants' face selectivity in the face-selective regions with their behavioral performance in face recognition measured outside the scanner in a large sample of healthy adults. Face selectivity was defined as the z score of activation with the contrast of faces vs. non-face objects, and the face recognition ability was indexed as the normalized residual of the accuracy in recognizing previously-learned faces after regressing out that for non-face objects in an old/new memory task. We found that the participants with higher face selectivity in the fusiform face area (FFA) and the occipital face area (OFA), but not in the posterior part of the superior temporal sulcus (pSTS), possessed higher face recognition ability. Importantly, the association of face selectivity in the FFA and face recognition ability cannot be accounted for by FFA response to objects or behavioral performance in object recognition, suggesting that the association is domain-specific. Finally, the association is reliable, confirmed by the replication from another independent participant group. In sum, our finding provides empirical evidence on the validity of using object selectivity as a neural signature in defining object-selective regions in the human brain. PMID:25071513

Extended Relation Metadata for SCORM-Based Learning Content Management Systems

ERIC Educational Resources Information Center

Lu, Eric Jui-Lin; Horng, Gwoboa; Yu, Chia-Ssu; Chou, Ling-Ying

2010-01-01

To increase the interoperability and reusability of learning objects, Advanced Distributed Learning Initiative developed a model called Content Aggregation Model (CAM) to describe learning objects and express relationships between learning objects. However, the suggested relations defined in the CAM can only describe structure-oriented…

Can Social Semantic Web Techniques Foster Collaborative Curriculum Mapping In Medicine?

PubMed Central

Finsterer, Sonja; Cremer, Jan; Schenkat, Hennig

2013-01-01

Background Curriculum mapping, which is aimed at the systematic realignment of the planned, taught, and learned curriculum, is considered a challenging and ongoing effort in medical education. Second-generation curriculum managing systems foster knowledge management processes including curriculum mapping in order to give comprehensive support to learners, teachers, and administrators. The large quantity of custom-built software in this field indicates a shortcoming of available IT tools and standards. Objective The project reported here aims at the systematic adoption of techniques and standards of the Social Semantic Web to implement collaborative curriculum mapping for a complete medical model curriculum. Methods A semantic MediaWiki (SMW)-based Web application has been introduced as a platform for the elicitation and revision process of the Aachen Catalogue of Learning Objectives (ACLO). The semantic wiki uses a domain model of the curricular context and offers structured (form-based) data entry, multiple views, structured querying, semantic indexing, and commenting for learning objectives (“LOs”). Semantic indexing of learning objectives relies on both a controlled vocabulary of international medical classifications (ICD, MeSH) and a folksonomy maintained by the users. An additional module supporting the global checking of consistency complements the semantic wiki. Statements of the Object Constraint Language define the consistency criteria. We evaluated the application by a scenario-based formative usability study, where the participants solved tasks in the (fictional) context of 7 typical situations and answered a questionnaire containing Likert-scaled items and free-text questions. Results At present, ACLO contains roughly 5350 operational (ie, specific and measurable) objectives acquired during the last 25 months. The wiki-based user interface uses 13 online forms for data entry and 4 online forms for flexible searches of LOs, and all the forms are accessible by standard Web browsers. The formative usability study yielded positive results (median rating of 2 (“good”) in all 7 general usability items) and produced valuable qualitative feedback, especially concerning navigation and comprehensibility. Although not asked to, the participants (n=5) detected critical aspects of the curriculum (similar learning objectives addressed repeatedly and missing objectives), thus proving the system’s ability to support curriculum revision. Conclusions The SMW-based approach enabled an agile implementation of computer-supported knowledge management. The approach, based on standard Social Semantic Web formats and technology, represents a feasible and effectively applicable compromise between answering to the individual requirements of curriculum management at a particular medical school and using proprietary systems. PMID:23948519

Unintended Learning in Primary School Practical Science Lessons from Polanyi's Perspective of Intellectual Passion

NASA Astrophysics Data System (ADS)

Park, Jisun; Song, Jinwoong; Abrahams, Ian

2016-03-01

This study explored, from the perspective of intellectual passion developed by Michael Polanyi, the unintended learning that occurred in primary practical science lessons. We use the term `unintended' learning to distinguish it from `intended' learning that appears in teachers' learning objectives. Data were collected using video and audio recordings of a sample of twenty-four whole class practical science lessons, taught by five teachers, in Korean primary schools with 10- to 12-year-old students. In addition, video and audio recordings were made for each small group of students working together in order to capture their activities and intra-group discourse. Pre-lesson interviews with the teachers were undertaken and audio-recorded to ascertain their intended learning objectives. Selected key vignettes, including unintended learning, were analysed from the perspective of intellectual passion developed by Polanyi. What we found in this study is that unintended learning could occur when students got interested in something in the first place and could maintain their interest. In addition, students could get conceptual knowledge when they tried to connect their experience to their related prior knowledge. It was also found that the processes of intended learning and of unintended learning were different. Intended learning was characterized by having been planned by the teacher who then sought to generate students' interest in it. In contrast, unintended learning originated from students' spontaneous interest and curiosity as a result of unplanned opportunities. Whilst teachers' persuasive passion comes first in the process of intended learning, students' heuristic passion comes first in the process of unintended learning. Based on these findings, we argue that teachers need to be more aware that unintended learning, on the part of individual students, can occur during their lesson and to be able to better use this opportunity so that this unintended learning can be shared by the whole class. Furthermore, we argue that teachers' deliberate action and a more interactive classroom culture are necessary in order to allow students to develop, in addition to heuristic passion, persuasive passion towards their unintended learning.

Perceptual Learning and Attention: Reduction of Object Attention Limitations with Practice

PubMed Central

Dosher, Barbara Anne; Han, Songmei; Lu, Zhong-Lin

2012-01-01

Perceptual learning has widely been claimed to be attention driven; attention assists in choosing the relevant sensory information and attention may be necessary in many cases for learning. In this paper, we focus on the interaction of perceptual learning and attention – that perceptual learning can reduce or eliminate the limitations of attention, or, correspondingly, that perceptual learning depends on the attention condition. Object attention is a robust limit on performance. Two attributes of a single attended object may be reported without loss, while the same two attributes of different objects can exhibit a substantial dual-report deficit due to the sharing of attention between objects. The current experiments document that this fundamental dual-object report deficit can be reduced, or eliminated, through perceptual learning that is partially specific to retinal location. This suggests that alternative routes established by practice may reduce the competition between objects for processing resources. PMID:19796653

Learning while Babbling: Prelinguistic Object-Directed Vocalizations Indicate a Readiness to Learn

ERIC Educational Resources Information Center

Goldstein, Michael H.; Schwade, Jennifer; Briesch, Jacquelyn; Syal, Supriya

2010-01-01

Two studies illustrate the functional significance of a new category of prelinguistic vocalizing--object-directed vocalizations (ODVs)--and show that these sounds are connected to learning about words and objects. Experiment 1 tested 12-month-old infants' perceptual learning of objects that elicited ODVs. Fourteen infants' vocalizations were…

Objectified Body Consciousness in Relation to Recovery from an Eating Disorder

PubMed Central

Fitzsimmons, Ellen E.; Bardone-Cone, Anna M.; Kelly, Kathleen A.

2011-01-01

In Western society, the feminine body has been positioned as an object to be looked at and sexually gazed upon; thus, females often learn to view themselves as objects to be observed (i.e., objectified body consciousness (OBC)). This study examined the relation between OBC and eating disorder recovery by comparing its components across non-eating disorder controls, fully recovered, partially recovered, and active eating disorder cases. Results revealed that non-eating disorder controls and fully recovered individuals had similarly low levels of two components of OBC, body surveillance and body shame. Partially recovered individuals looked more similar to those with an active eating disorder on these constructs. The third component of OBC, control beliefs, and a conceptually similar construct, weight/shape self-efficacy, did not differ across groups. Results provide support for the importance of measuring aspects of self-objectification, particularly body surveillance and body shame, across the course of an eating disorder. PMID:22051364

Assessment of the core learning objectives curriculum for the urology clerkship.

PubMed

Rapp, David E; Gong, Edward M; Reynolds, W Stuart; Lucioni, Alvaro; Zagaja, Gregory P

2007-11-01

The traditional approach to the surgical clerkship has limitations, including variability of clinical exposure. To optimize student education we developed and introduced the core learning objectives curriculum, which is designed to allow students freedom to direct their learning and focus on core concepts. We performed a prospective, randomized, controlled study to compare the efficacy of core learning objectives vs traditional curricula through objective and subjective measures. Medical students were randomly assigned to the core learning objectives or traditional curricula during the 2-week urology clerkship. Faculty was blinded to student assignment. Upon rotation completion all students were given a 20-question multiple choice examination covering basic urology concepts. In addition, students completed a questionnaire addressing subjective clerkship satisfaction, comprising 15 questions. Between June 2005 and January 2007, 10 core learning objectives students and 10 traditional students completed the urology clerkship. The average +/- SEM multiple choice examination score was 12.1 +/- 0.87 and 9.8 +/- 0.59 for students assigned to the core learning objectives and traditional curricula, respectively (p <0.05). Subjective scores were higher in the core learning objectives cohort, although this result did not attain statistical significance (124.9 +/- 3.72 vs 114.3 +/- 4.96, p = 0.1). Core learning objectives students reported higher satisfaction in all 15 assessed subjective end points. Our experience suggests that the core learning objectives model may be an effective educational tool to help students achieve a broad and directed exposure to the core urological concepts.

Quality indicators for learner-centered postgraduate medical e-learning.

PubMed

de Leeuw, Robert A; Westerman, Michiel; Scheele, Fedde

2017-04-27

The objectives of this study were to identify the needs and expectations of learners and educational experts in postgraduate medical e-learning, and to contribute to the current literature. We performed four focus-group discussions with e-learning end-users (learners) and didactic experts. The participants were postgraduate learners with varying levels of experience, educational experts from a Dutch e-learning task group, and commercial experts from a Dutch e-learning company. Verbatim transcribed interview recordings were analyzed using King's template analysis. The initial template was created with reference to recent literature on postgraduate medical e-learning quality indicators. The transcripts were coded, after which the emerging differences in template interpretation were discussed until a consensus was reached within the team. The final template consisted of three domains of positive e-learning influencers (motivators, learning enhancers, and real-world translation) and three domains of negatively influential parameters (barriers, learning discouragers, and poor preparation). The interpretation of the final template showed three subjects which form the basis of e-learning, namely, Motivate, Learn and Apply. This study forms a basis for learning in general and could be applied to many educational instruments. Individual characteristics should be adapted to the target audience. Three subjects form the basis of, and six themes cover all items needed for, good (enough) postgraduate e-learning. Further research should be carried out with learners and real-world e-learning to validate this template.

A Data Mining Approach to Improve Re-Accessibility and Delivery of Learning Knowledge Objects

ERIC Educational Resources Information Center

Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay

2014-01-01

Today Learning Management Systems (LMS) have become an integral part of learning mechanism of both learning institutes and industry. A Learning Object (LO) can be one of the atomic components of LMS. A large amount of research is conducted into identifying benchmarks for creating Learning Objects. Some of the major concerns associated with LO are…

Semantic-based surveillance video retrieval.

PubMed

Hu, Weiming; Xie, Dan; Fu, Zhouyu; Zeng, Wenrong; Maybank, Steve

2007-04-01

Visual surveillance produces large amounts of video data. Effective indexing and retrieval from surveillance video databases are very important. Although there are many ways to represent the content of video clips in current video retrieval algorithms, there still exists a semantic gap between users and retrieval systems. Visual surveillance systems supply a platform for investigating semantic-based video retrieval. In this paper, a semantic-based video retrieval framework for visual surveillance is proposed. A cluster-based tracking algorithm is developed to acquire motion trajectories. The trajectories are then clustered hierarchically using the spatial and temporal information, to learn activity models. A hierarchical structure of semantic indexing and retrieval of object activities, where each individual activity automatically inherits all the semantic descriptions of the activity model to which it belongs, is proposed for accessing video clips and individual objects at the semantic level. The proposed retrieval framework supports various queries including queries by keywords, multiple object queries, and queries by sketch. For multiple object queries, succession and simultaneity restrictions, together with depth and breadth first orders, are considered. For sketch-based queries, a method for matching trajectories drawn by users to spatial trajectories is proposed. The effectiveness and efficiency of our framework are tested in a crowded traffic scene.

Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects

PubMed Central

Chuang, Lewis L.; Vuong, Quoc C.; Bülthoff, Heinrich H.

2012-01-01

There is evidence that observers use learned object motion to recognize objects. For instance, studies have shown that reversing the learned direction in which a rigid object rotated in depth impaired recognition accuracy. This motion reversal can be achieved by playing animation sequences of moving objects in reverse frame order. In the current study, we used this sequence-reversal manipulation to investigate whether observers encode the motion of dynamic objects in visual memory, and whether such dynamic representations are encoded in a way that is dependent on the viewing conditions. Participants first learned dynamic novel objects, presented as animation sequences. Following learning, they were then tested on their ability to recognize these learned objects when their animation sequence was shown in the same sequence order as during learning or in the reverse sequence order. In Experiment 1, we found that non-rigid motion contributed to recognition performance; that is, sequence-reversal decreased sensitivity across different tasks. In subsequent experiments, we tested the recognition of non-rigidly deforming (Experiment 2) and rigidly rotating (Experiment 3) objects across novel viewpoints. Recognition performance was affected by viewpoint changes for both experiments. Learned non-rigid motion continued to contribute to recognition performance and this benefit was the same across all viewpoint changes. By comparison, learned rigid motion did not contribute to recognition performance. These results suggest that non-rigid motion provides a source of information for recognizing dynamic objects, which is not affected by changes to viewpoint. PMID:22661939

The Impact of Individual Learning Accounts: A Study of the Early and Potential Impact of Individual Learning Accounts on Learning Providers and Learning. Research Report.

ERIC Educational Resources Information Center

Gray, Michael; Peters, Jane; Fletcher, Mick; Kirk, Gordon

The impact of individual learning accounts (ILAs) on the success of learners in post-16 education sector in the United Kingdom was explored through an examination of available research on ILAs. The following were among the study's 12 messages for providers, the Department for Education and Skills, and the Individual Learning Account Centre: (1)…

Patterns of Learning Object Reuse in the Connexions Repository

ERIC Educational Resources Information Center

Duncan, S. M.

2009-01-01

Since the term "learning object" was first published, there has been either an explicit or implicit expectation of reuse. There has also been a lot of speculation about why learning objects are, or are not, reused. This study quantitatively examined the actual amount and type of learning object use, to include reuse, modification, and translation,…

Writing objectives and evaluating learning in the affective domain.

PubMed

Maier-Lorentz, M M

1999-01-01

Staff educators recognize the importance of affective competency for effective nursing practice. Inservice programs must include affective learning with objectives stated in measurable terms. Staff educators often express frustration in developing affective objectives and evaluating the learning outcome because attitudes and feelings are usually inferred from observations. This article presents affective learning objectives for a gerontological nursing inservice program and a rating scale that measures attitudes to evaluate the learning outcome.

Learning to learn causal models.

PubMed

Kemp, Charles; Goodman, Noah D; Tenenbaum, Joshua B

2010-09-01

Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The schema organizes the objects into categories and specifies the causal powers and characteristic features of these categories and the characteristic causal interactions between categories. A schema of this kind allows causal models for subsequent objects to be rapidly learned, and we explore this accelerated learning in four experiments. Our results confirm that humans learn rapidly about the causal powers of novel objects, and we show that our framework accounts better for our data than alternative models of causal learning. Copyright © 2010 Cognitive Science Society, Inc.

Remembering Math: The Design of Digital Learning Objects to Spark Professional Learning

ERIC Educational Resources Information Center

Halverson, Richard; Wolfenstein, Moses; Williams, Caroline C.; Rockman, Charles

2009-01-01

This article describes how the design of digital learning objects can spark professional learning. The challenge was to build learning objects that would help experienced special education teachers, who had been teaching in math classes, to demonstrate their proficiency in middle and secondary school mathematics on the PRAXIS examination. While…

Collaborative Production of Learning Objects on French Literary Works Using the LOC Software

ERIC Educational Resources Information Center

Penman, Christine

2015-01-01

This case study situates the collaborative design of learning objects (interactive online learning material) using the LOC (Learning Object Creator) software in the context of language activities external to the core learning activities of language students at a UK university. It describes the creative and pedagogical processes leading to the…

Learning Objects and Virtual Learning Environments Technical Evaluation Criteria

ERIC Educational Resources Information Center

Kurilovas, Eugenijus; Dagiene, Valentina

2009-01-01

The main scientific problems investigated in this article deal with technical evaluation of quality attributes of the main components of e-Learning systems (referred here as DLEs--Digital Libraries of Educational Resources and Services), i.e., Learning Objects (LOs) and Virtual Learning Environments (VLEs). The main research object of the work is…

A Case Study: Developing Learning Objects with an Explicit Learning Design

ERIC Educational Resources Information Center

Watson, Julie

2010-01-01

In learning object design an emphasis on visual attractiveness and high technological impact has seemed to persist while content frequently reflects a lack of clear pedagogical basis for the application of learning objects for online learning. Most apparent is the absence of supportive scaffolding for the student user; interactivity built on an…

Automated Assessment of Cognitive Health Using Smart Home Technologies

PubMed Central

Dawadi, Prafulla N.; Cook, Diane J.; Schmitter-Edgecombe, Maureen; Parsey, Carolyn

2014-01-01

BACKGROUND The goal of this work is to develop intelligent systems to monitor the well being of individuals in their home environments. OBJECTIVE This paper introduces a machine learning-based method to automatically predict activity quality in smart homes and automatically assess cognitive health based on activity quality. METHODS This paper describes an automated framework to extract set of features from smart home sensors data that reflects the activity performance or ability of an individual to complete an activity which can be input to machine learning algorithms. Output from learning algorithms including principal component analysis, support vector machine, and logistic regression algorithms are used to quantify activity quality for a complex set of smart home activities and predict cognitive health of participants. RESULTS Smart home activity data was gathered from volunteer participants (n=263) who performed a complex set of activities in our smart home testbed. We compare our automated activity quality prediction and cognitive health prediction with direct observation scores and health assessment obtained from neuropsychologists. With all samples included, we obtained statistically significant correlation (r=0.54) between direct observation scores and predicted activity quality. Similarly, using a support vector machine classifier, we obtained reasonable classification accuracy (area under the ROC curve = 0.80, g-mean = 0.73) in classifying participants into two different cognitive classes, dementia and cognitive healthy. CONCLUSIONS The results suggest that it is possible to automatically quantify the task quality of smart home activities and perform limited assessment of the cognitive health of individual if smart home activities are properly chosen and learning algorithms are appropriately trained. PMID:23949177

Implementation of formal learning objectives during a physical medicine and rehabilitation sports medicine rotation.

PubMed

Smith, Jay; Laskowski, Edward R; Newcomer-Aney, Karen L; Thompson, Jeffrey M; Schaefer, Michael P; Morfe, Erasmus G

2005-04-01

To develop and implement formal learning objectives during a physical medicine and rehabilitation sports medicine rotation and characterize resident experiences with the objectives over a 16-mo period. Prospective, including learning objective development, implementation, and postrotation survey. A total of 69 learning objectives were developed by physical medicine and rehabilitation staff physician consensus, including 39 core objectives. Eighteen residents completed 4-wk sports medicine rotations from January 2003 through April 2004. Residents completed an average of 31 total objectives (45%; range, 3-52), of which 24 (62%; range, 3-35) were core. Residents completed the highest percentage of knee (60%), shoulder (57%), and ankle-foot (57%) objectives and reported that objectives related to these areas were most effective to facilitate learning. In general, residents reported that objective content was good and that the objectives delineated important concepts to learn during the rotation. Seventeen of 18 residents indicated that the objectives should be permanently implemented into the sports rotation and that similar objectives should be developed for other rotations. Based on our experience and the recommendations of residents, the average resident should be able to complete approximately 30 objectives during a typical 4-wk rotation. Successful implementation of specific, consensus-derived learning objectives is possible within the context of a busy clinical practice. Our initial physician staff and resident experience with the objectives suggests that this model may be useful as a supplementary educational tool in physical medicine and rehabilitation residency programs.

The size-weight illusion induced through human echolocation.

PubMed

Buckingham, Gavin; Milne, Jennifer L; Byrne, Caitlin M; Goodale, Melvyn A

2015-02-01

Certain blind individuals have learned to interpret the echoes of self-generated sounds to perceive the structure of objects in their environment. The current work examined how far the influence of this unique form of sensory substitution extends by testing whether echolocation-induced representations of object size could influence weight perception. A small group of echolocation experts made tongue clicks or finger snaps toward cubes of varying sizes and weights before lifting them. These echolocators experienced a robust size-weight illusion. This experiment provides the first demonstration of a sensory substitution technique whereby the substituted sense influences the conscious perception through an intact sense. © The Author(s) 2014.

Learning and Socializing Preferences in Hong Kong Chinese Children.

PubMed

Chen, Eva E; Corriveau, Kathleen H; Lai, Veronica K W; Poon, Sze Long; Gaither, Sarah E

2018-04-30

The impact of social group information on the learning and socializing preferences of Hong Kong Chinese children were examined. Specifically, the degree to which variability in racial out-group exposure affects children's use of race to make decisions about unfamiliar individuals (Chinese, White, Southeast Asian) was investigated. Participants (N = 212; M age  = 60.51 months) chose functions for novel objects after informants demonstrated their use; indicated with which peer group member to socialize; and were measured on racial group recognition, preference, and identification. Overall, children preferred in-group members, though out-group exposure and the relative social status of out-groups mattered as well. At a young age, children's specific experiences with different races influence how they learn and befriend others across racial group lines. © 2018 Society for Research in Child Development.

NASA SMD Science Education and Public Outreach Forums: A Five-Year Retrospective

NASA Astrophysics Data System (ADS)

Smith, Denise A.; Peticolas, Laura; Schwerin, Theresa; Shipp, Stephanie

2014-06-01

NASA’s Science Mission Directorate (SMD) created four competitively awarded Science Education and Public Outreach Forums (Astrophysics, Heliophysics, Planetary Science, Earth Science) in 2009. The objective is to enhance the overall coherence of SMD education and public outreach (E/PO), leading to more effective, efficient, and sustainable use of SMD science discoveries and learning experiences. We summarize progress and next steps towards achieving this goal with examples drawn from Astrophysics and cross-Forum efforts. Over the past five years, the Forums have enabled leaders of individual SMD mission and grant-funded E/PO programs to work together to place individual science discoveries and learning resources into context for audiences, conveying the big picture of scientific discovery based on audience needs. Forum-organized collaborations and partnerships extend the impact of individual programs to new audiences and provide resources and opportunities for educators to engage their audiences in NASA science. Similarly, Forum resources support scientists and faculty in utilizing SMD E/PO resources. Through Forum activities, mission E/PO teams and grantees have worked together to define common goals and provide unified professional development for educators (NASA’s Multiwavelength Universe); build partnerships with libraries to engage underserved/underrepresented audiences (NASA Science4Girls and Their Families); strengthen use of best practices; provide thematic, audience-based entry points to SMD learning experiences; support scientists in participating in E/PO; and, convey the impact of the SMD E/PO program. The Forums have created a single online digital library (NASA Wavelength, http://nasawavelength.org) that hosts all peer-reviewed SMD-funded education materials and worked with the SMD E/PO community to compile E/PO program metrics (http://nasamissionepometrics.org/). External evaluation shows the Forums are meeting their objectives. Specific examples of Forum-organized resources for use by scientists, faculty, and informal educators are discussed in related presentations (Meinke et al.; Manning et al.).

Bimanual coordination positively predicts episodic memory: A combined behavioral and MRI investigation.

PubMed

Lyle, Keith B; Dombroski, Brynn A; Faul, Leonard; Hopkins, Robin F; Naaz, Farah; Switala, Andrew E; Depue, Brendan E

2017-11-01

Some people remember events more completely and accurately than other people, but the origins of individual differences in episodic memory are poorly understood. One way to advance understanding is by identifying characteristics of individuals that reliably covary with memory performance. Recent research suggests motor behavior is related to memory performance, with individuals who consistently use a single preferred hand for unimanual actions performing worse than individuals who make greater use of both hands. This research has relied on self-reports of behavior. It is unknown whether objective measures of motor behavior also predict memory performance. Here, we tested the predictive power of bimanual coordination, an important form of manual dexterity. Bimanual coordination, as measured objectively on the Purdue Pegboard Test, was positively related to correct recall on the California Verbal Learning Test-II and negatively related to false recall. Furthermore, MRI data revealed that cortical surface area in right lateral prefrontal regions was positively related to correct recall. In one of these regions, cortical thickness was negatively related to bimanual coordination. These results suggest that individual differences in episodic memory may partially reflect morphological variation in right lateral prefrontal cortex and suggest a relationship between neural correlates of episodic memory and motor behavior. Copyright © 2017 Elsevier Inc. All rights reserved.

24-month-olds’ sensitivity to the prior inaccuracy of the source: Possible mechanisms

PubMed Central

Koenig, Melissa A.; Woodward, Amanda L.

2013-01-01

Three studies examined 24-month-olds’ sensitivity to the prior accuracy of the source and the way in which young children modify their word learning from inaccurate sources. In Experiments 1A, 2 and 3, toddlers interacted with an accurate or inaccurate speaker who trained and tested children's comprehension of a new word-object link. In Experiment 1, children performed less systematically in response to an inaccurate than to the accurate source. In Experiments 2 and 3, after toddlers’ comprehension of the new word-object links was tested by the original source, a second speaker requested the target objects. In Experiment 2, children responded randomly in response to the second speaker's requests when novel words were previously presented by an inaccurate source. In Experiment 3, toddlers responded randomly in response to both speakers in the inaccurate condition when their memory for words was taxed by a brief delay period. Taken together, these findings suggest that toddlers attend to accuracy information, treat inaccuracy as a feature of a particular individual and that the word-object representations formed as a result may be fragile and short-lived. Findings are discussed in terms of possible mechanisms by which children adjust their word-learning from problematic speakers. PMID:20604604

Exploring User Learnability and Learning Performance in an App for Depression: Usability Study

PubMed Central

Montague, Enid; Lattie, Emily G; Schueller, Stephen M; Kwasny, Mary J; Mohr, David C

2017-01-01

Background Mental health apps tend to be narrow in their functioning, with their focus mostly being on tracking, management, or psychoeducation. It is unclear what capability such apps have to facilitate a change in users, particularly in terms of learning key constructs relating to behavioral interventions. Thought Challenger (CBITs, Chicago) is a skill-building app that engages users in cognitive restructuring, a core component of cognitive therapy (CT) for depression. Objective The purpose of this study was to evaluate the learnability and learning performance of users following initial use of Thought Challenger. Methods Twenty adults completed in-lab usability testing of Thought Challenger, which comprised two interactions with the app. Learnability was measured via completion times, error rates, and psychologist ratings of user entries in the app; learning performance was measured via a test of CT knowledge and skills. Nonparametric tests were conducted to evaluate the difference between individuals with no or mild depression to those with moderate to severe depression, as well as differences in completion times and pre- and posttests. Results Across the two interactions, the majority of completion times were found to be acceptable (5 min or less), with minimal errors (1.2%, 10/840) and successful completion of CT thought records. Furthermore, CT knowledge and skills significantly improved after the initial use of Thought Challenger (P=.009). Conclusions The learning objectives for Thought Challenger during initial uses were successfully met in an evaluation with likely end users. The findings therefore suggest that apps are capable of providing users with opportunities for learning of intervention skills. PMID:28801301

An Investigation into Digital Media: Characteristics of Learning Objects Which K-12 Teachers Determine Meet Their Instructional Needs

ERIC Educational Resources Information Center

Guthrie, Patricia Ann

2010-01-01

In recent years, learning objects have emerged as an instructional tool for teachers. Digital libraries and collections provide teachers with free or fee-base access to a variety of learning objects from photos and famous speeches to Flash animations and interactive Java Applets. Learning objects offer opportunities for students to interact with…

Inquiry-Based Learning Using Everyday Objects: Hands-On Instructional Strategies That Promote Active Learning in Grades 3-8.

ERIC Educational Resources Information Center

Alvarado, Amy Edmonds; Herr, Patricia R.

This book explores the concept of using everyday objects as a process initiated both by students and teachers, encouraging growth in student observation, inquisitiveness, and reflection in learning. After "Introduction: Welcome to Inquiry-Based Learning using Everyday Objects (Object-Based Inquiry), there are nine chapters in two parts. Part 1,…

Connecting numbers to discrete quantification: a step in the child's construction of integer concepts.

PubMed

Slusser, Emily; Ditta, Annie; Sarnecka, Barbara

2013-10-01

The present study asks when young children understand that number words quantify over sets of discrete individuals. For this study, 2- to 4-year-old children were asked to extend the number word five or six either to a cup containing discrete objects (e.g., blocks) or to a cup containing a continuous substance (e.g., water). In Experiment 1, only children who knew the exact meanings of the words one, two and three extended higher number words (five or six) to sets of discrete objects. In Experiment 2, children who only knew the exact meaning of one extended higher number words to discrete objects under the right conditions (i.e., when the problem was first presented with the number words one and two). These results show that children have some understanding that number words pertain to discrete quantification from very early on, but that this knowledge becomes more robust as children learn the exact, cardinal meanings of individual number words. Copyright © 2013 Elsevier B.V. All rights reserved.

Embodied niche construction in the hominin lineage: semiotic structure and sustained attention in human embodied cognition

PubMed Central

Stutz, Aaron J.

2014-01-01

Human evolution unfolded through a rather distinctive, dynamically constructed ecological niche. The human niche is not only generally terrestrial in habitat, while being flexibly and extensively heterotrophic in food-web connections. It is also defined by semiotically structured and structuring embodied cognitive interfaces, connecting the individual organism with the wider environment. The embodied dimensions of niche-population co-evolution have long involved semiotic system construction, which I hypothesize to be an evolutionarily primitive aspect of learning and higher-level cognitive integration and attention in the great apes and humans alike. A clearly pre-linguistic form of semiotic cognitive structuration is suggested to involve recursively learned and constructed object icons. Higher-level cognitive iconic representation of visually, auditorily, or haptically perceived extrasomatic objects would be learned and evoked through indexical connections to proprioceptive and affective somatic states. Thus, private cognitive signs would be defined, not only by their learned and perceived extrasomatic referents, but also by their associations to iconically represented somatic states. This evolutionary modification of animal associative learning is suggested to be adaptive in ecological niches occupied by long-lived, large-bodied ape species, facilitating memory construction and recall in highly varied foraging and social contexts, while sustaining selective attention during goal-directed behavioral sequences. The embodied niche construction (ENC) hypothesis of human evolution posits that in the early hominin lineage, natural selection further modified the ancestral ape semiotic adaptations, favoring the recursive structuration of concise iconic narratives of embodied interaction with the environment. PMID:25136323

Embodied niche construction in the hominin lineage: semiotic structure and sustained attention in human embodied cognition.

PubMed

Stutz, Aaron J

2014-01-01

Human evolution unfolded through a rather distinctive, dynamically constructed ecological niche. The human niche is not only generally terrestrial in habitat, while being flexibly and extensively heterotrophic in food-web connections. It is also defined by semiotically structured and structuring embodied cognitive interfaces, connecting the individual organism with the wider environment. The embodied dimensions of niche-population co-evolution have long involved semiotic system construction, which I hypothesize to be an evolutionarily primitive aspect of learning and higher-level cognitive integration and attention in the great apes and humans alike. A clearly pre-linguistic form of semiotic cognitive structuration is suggested to involve recursively learned and constructed object icons. Higher-level cognitive iconic representation of visually, auditorily, or haptically perceived extrasomatic objects would be learned and evoked through indexical connections to proprioceptive and affective somatic states. Thus, private cognitive signs would be defined, not only by their learned and perceived extrasomatic referents, but also by their associations to iconically represented somatic states. This evolutionary modification of animal associative learning is suggested to be adaptive in ecological niches occupied by long-lived, large-bodied ape species, facilitating memory construction and recall in highly varied foraging and social contexts, while sustaining selective attention during goal-directed behavioral sequences. The embodied niche construction (ENC) hypothesis of human evolution posits that in the early hominin lineage, natural selection further modified the ancestral ape semiotic adaptations, favoring the recursive structuration of concise iconic narratives of embodied interaction with the environment.

Performance of thigh-mounted triaxial accelerometer algorithms in objective quantification of sedentary behaviour and physical activity in older adults.

PubMed

Wullems, Jorgen A; Verschueren, Sabine M P; Degens, Hans; Morse, Christopher I; Onambélé, Gladys L

2017-01-01

Accurate monitoring of sedentary behaviour and physical activity is key to investigate their exact role in healthy ageing. To date, accelerometers using cut-off point models are most preferred for this, however, machine learning seems a highly promising future alternative. Hence, the current study compared between cut-off point and machine learning algorithms, for optimal quantification of sedentary behaviour and physical activity intensities in the elderly. Thus, in a heterogeneous sample of forty participants (aged ≥60 years, 50% female) energy expenditure during laboratory-based activities (ranging from sedentary behaviour through to moderate-to-vigorous physical activity) was estimated by indirect calorimetry, whilst wearing triaxial thigh-mounted accelerometers. Three cut-off point algorithms and a Random Forest machine learning model were developed and cross-validated using the collected data. Detailed analyses were performed to check algorithm robustness, and examine and benchmark both overall and participant-specific balanced accuracies. This revealed that the four models can at least be used to confidently monitor sedentary behaviour and moderate-to-vigorous physical activity. Nevertheless, the machine learning algorithm outperformed the cut-off point models by being robust for all individual's physiological and non-physiological characteristics and showing more performance of an acceptable level over the whole range of physical activity intensities. Therefore, we propose that Random Forest machine learning may be optimal for objective assessment of sedentary behaviour and physical activity in older adults using thigh-mounted triaxial accelerometry.

Set size, individuation, and attention to shape.

PubMed

Cantrell, Lisa; Smith, Linda B

2013-02-01

Much research has demonstrated a shape bias in categorizing and naming solid objects. This research has shown that when an entity is conceptualized as an individual object, adults and children attend to the object's shape. Separate research in the domain of numerical cognition suggest that there are distinct processes for quantifying small and large sets of discrete items. This research shows that small set discrimination, comparison, and apprehension is often precise for 1-3 and sometimes 4 items; however, large numerosity representation is imprecise. Results from three experiments suggest a link between the processes for small and large number representation and the shape bias in a forced choice categorization task using naming and non-naming procedures. Experiment 1 showed that adults generalized a newly learned name for an object to new instances of the same shape only when those instances were presented in sets of less than 3 or 4. Experiment 2 showed that preschool children who were monolingual speakers of three different languages were also influenced by set size when categorizing objects in sets. Experiment 3 extended these results and showed the same effect in a non-naming task and when the novel noun was presented in a count-noun syntax frame. The results are discussed in terms of a relation between the precision of object representation and the precision of small and large number representation. Copyright © 2012 Elsevier B.V. All rights reserved.

Competition between multiple words for a referent in cross-situational word learning

PubMed Central

Benitez, Viridiana L.; Yurovsky, Daniel; Smith, Linda B.

2016-01-01

Three experiments investigated competition between word-object pairings in a cross-situational word-learning paradigm. Adults were presented with One-Word pairings, where a single word labeled a single object, and Two-Word pairings, where two words labeled a single object. In addition to measuring learning of these two pairing types, we measured competition between words that refer to the same object. When the word-object co-occurrences were presented intermixed in training (Experiment 1), we found evidence for direct competition between words that label the same referent. Separating the two words for an object in time eliminated any evidence for this competition (Experiment 2). Experiment 3 demonstrated that adding a linguistic cue to the second label for a referent led to different competition effects between adults who self-reported different language learning histories, suggesting both distinctiveness and language learning history affect competition. Finally, in all experiments, competition effects were unrelated to participants’ explicit judgments of learning, suggesting that competition reflects the operating characteristics of implicit learning processes. Together, these results demonstrate that the role of competition between overlapping associations in statistical word-referent learning depends on time, the distinctiveness of word-object pairings, and language learning history. PMID:27087742

The Definition of Insulin Resistance Using HOMA-IR for Americans of Mexican Descent Using Machine Learning

PubMed Central

Qu, Hui-Qi; Li, Quan; Rentfro, Anne R.; Fisher-Hoch, Susan P.; McCormick, Joseph B.

2011-01-01

Objective The lack of standardized reference range for the homeostasis model assessment-estimated insulin resistance (HOMA-IR) index has limited its clinical application. This study defines the reference range of HOMA-IR index in an adult Hispanic population based with machine learning methods. Methods This study investigated a Hispanic population of 1854 adults, randomly selected on the basis of 2000 Census tract data in the city of Brownsville, Cameron County. Machine learning methods, support vector machine (SVM) and Bayesian Logistic Regression (BLR), were used to automatically identify measureable variables using standardized values that correlate with HOMA-IR; K-means clustering was then used to classify the individuals by insulin resistance. Results Our study showed that the best cutoff of HOMA-IR for identifying those with insulin resistance is 3.80. There are 39.1% individuals in this Hispanic population with HOMA-IR>3.80. Conclusions Our results are dramatically different using the popular clinical cutoff of 2.60. The high sensitivity and specificity of HOMA-IR>3.80 for insulin resistance provide a critical fundamental for our further efforts to improve the public health of this Hispanic population. PMID:21695082

The Analysis of the Relationship between Primary Learning Styles and Learning Objects in an Online Environment

ERIC Educational Resources Information Center

Özdemir, Muzaffer

2016-01-01

This study investigates the relationships between the primary learning styles of students and different learning objects presented simultaneously in an online learning environment in the context of the usage levels of these objects. A total of 103 sophomores from a Turkish State University participated in the study. Felder-Solomon Index of…

Building Interoperable Learning Objects Using Reduced Learning Object Metadata

ERIC Educational Resources Information Center

Saleh, Mostafa S.

2005-01-01

The new e-learning generation depends on Semantic Web technology to produce learning objects. As the production of these components is very costly, they should be produced and registered once, and reused and adapted in the same context or in other contexts as often as possible. To produce those components, developers should use learning standards…

Recommendations for the development of e-modules for the continuing professional development of European dentists.

PubMed

Kavadella, A; Kossioni, A E; Tsiklakis, K; Cowpe, J; Bullock, A; Barnes, E; Bailey, S; Thomas, H; Thomas, R; Karaharju-Suvanto, T; Suomalainen, K; Kersten, H; Povel, E; Giles, M; Walmsley, D; Soboleva, U; Liepa, A; Akota, I

2013-05-01

To provide evidence-based and peer-reviewed recommendations for the development of dental continuing professional development (CPD) learning e-modules. The present recommendations are consensus recommendations of the DentCPD project team and were informed by a literature research, consultations from e-learning and IT expert, discussions amongst the participants attending a special interest group during the 2012 ADEE meeting, and feedback from the evaluation procedures of the exemplar e-module (as described in a companion paper within this Supplement). The main focus of these recommendations is on the courses and modules organised and offered by dental schools. E-modules for dental CPD, as well as for other health professionals' continuing education, have been implemented and evaluated for a number of years. Research shows that the development of e-modules is a team process, undertaken by academics, subject experts, pedagogists, IT and web designers, learning technologists and librarians. The e-module must have clear learning objectives (outcomes), addressing the learners' individual needs, and must be visually attractive, relevant, interactive, promoting critical thinking and providing feedback. The text, graphics and animations must support the objectives and enable the learning process by creating an attractive, easy to navigate and interactive electronic environment. Technology is usually a concern for learners and tutors; therefore, it must be kept simple and interoperable within different systems and software. The pedagogical and technological proficiency of educators is of paramount importance, yet remains a challenge in many instances. The development of e-courses and modules for dental CPD is an endeavour undertaken by a group of professionals. It must be underpinned by sound pedagogical and e-learning principles and must incorporate elements for effective visual learning and visual design and a simple, consistent technology. © 2013 John Wiley & Sons A/S.

The Mount Sinai international enhancement of social work leadership program: The past and the future.

PubMed

Gordon, Elisa; Green, Karen; Whitwam, Louisa; Epstein, Irwin; Bernstein, Susan

2018-07-01

Developed in 1988, the Mount Sinai International Enhancement of Social Work Leadership Program brings 4-6 social workers from several countries each year to the Mount Sinai Hospital in New York City, where they meet with leaders from the hospital, community based organizations and graduate schools of social work, to enhance their leadership ability, strengthen management and research skills, and build upon global social work relationships. This article reviews the results of a survey conducted in 2016 to assess whether the visiting scholars met established learning objectives of the Program. Survey outcomes, presented in quantitative and qualitative terms, show positive results, and the scholars reported that the Program was extremely beneficial. The Program is viewed through the lens of two select adult learning theories: Social Learning Theory, which incorporates collaboration and learning from others, and Transformative Learning Theory, which is comprised of self-reflection and individualized learning. The inclusion of these theories in the implementation of the Program will be discussed. An analysis of the survey's outcomes, through pre- and post-Program participation and learning, facilitates assessment of potential programmatic adjustments to help evaluate long-term viability of the Program and potential duplication by other academic medical centers.

Dissociation of rapid response learning and facilitation in perceptual and conceptual networks of person recognition.

PubMed

Valt, Christian; Klein, Christoph; Boehm, Stephan G

2015-08-01

Repetition priming is a prominent example of non-declarative memory, and it increases the accuracy and speed of responses to repeatedly processed stimuli. Major long-hold memory theories posit that repetition priming results from facilitation within perceptual and conceptual networks for stimulus recognition and categorization. Stimuli can also be bound to particular responses, and it has recently been suggested that this rapid response learning, not network facilitation, provides a sound theory of priming of object recognition. Here, we addressed the relevance of network facilitation and rapid response learning for priming of person recognition with a view to advance general theories of priming. In four experiments, participants performed conceptual decisions like occupation or nationality judgments for famous faces. The magnitude of rapid response learning varied across experiments, and rapid response learning co-occurred and interacted with facilitation in perceptual and conceptual networks. These findings indicate that rapid response learning and facilitation in perceptual and conceptual networks are complementary rather than competing theories of priming. Thus, future memory theories need to incorporate both rapid response learning and network facilitation as individual facets of priming. © 2014 The British Psychological Society.

Medical students' experiences learning intimate physical examination skills: a qualitative study.

PubMed

Dabson, Andra M; Magin, Parker J; Heading, Gaynor; Pond, Dimity

2014-02-28

Intimate physical examination skills are essential skills for any medical graduate to have mastered to an appropriate level for the safety of his or her future patients. Medical schools are entrusted with the complex task of teaching and assessing these skills for their students. The objectives of this study were to explore a range of medical students' experiences of learning intimate physical examination skills and to explore their perceptions of factors which impede or promote the learning of these skills. Individual semi-structured interviews (N = 16) were conducted with medical students in years two to five from the University of Newcastle, as part of a larger research project investigating how medical students develop their attitudes to gender and health. This was a self-selected sample of the entire cohort who were all invited to participate. A thematic analysis of the transcribed data was performed. Students reported differing levels of discomfort with their learning experiences in the area of intimate physical examination and differing beliefs about the helpfulness of these experiences. The factors associated with levels of discomfort and the helpfulness of the experience for learning were: satisfaction with teaching techniques, dealing with an uncomfortable situation and perceived individual characteristics in both the patients and the students. The examination causing the greatest reported discomfort was the female pelvic examination by male students. Student discomfort with the experience of learning intimate physical examination skills may be common and has ongoing repercussions for students and patients. Recommendations are made of ways to modify teaching technique to more closely match students' perceived needs.

Medical students’ experiences learning intimate physical examination skills: a qualitative study

PubMed Central

2014-01-01

Background Intimate physical examination skills are essential skills for any medical graduate to have mastered to an appropriate level for the safety of his or her future patients. Medical schools are entrusted with the complex task of teaching and assessing these skills for their students. The objectives of this study were to explore a range of medical students’ experiences of learning intimate physical examination skills and to explore their perceptions of factors which impede or promote the learning of these skills. Methods Individual semi-structured interviews (N = 16) were conducted with medical students in years two to five from the University of Newcastle, as part of a larger research project investigating how medical students develop their attitudes to gender and health. This was a self-selected sample of the entire cohort who were all invited to participate. A thematic analysis of the transcribed data was performed. Results Students reported differing levels of discomfort with their learning experiences in the area of intimate physical examination and differing beliefs about the helpfulness of these experiences. The factors associated with levels of discomfort and the helpfulness of the experience for learning were: satisfaction with teaching techniques, dealing with an uncomfortable situation and perceived individual characteristics in both the patients and the students. The examination causing the greatest reported discomfort was the female pelvic examination by male students. Conclusions Student discomfort with the experience of learning intimate physical examination skills may be common and has ongoing repercussions for students and patients. Recommendations are made of ways to modify teaching technique to more closely match students’ perceived needs. PMID:24575827

Implementing Infrastructures for Managing Learning Objects

ERIC Educational Resources Information Center

Klemke, Roland; Ternier, Stefaan; Kalz, Marco; Specht, Marcus

2010-01-01

Making learning objects available is critical to reuse learning resources. Making content transparently available and providing added value to different stakeholders is among the goals of the European Commission's eContentplus programme. This paper analyses standards and protocols relevant for making learning objects accessible in distributed data…

Credit assignment between body and object probed by an object transportation task.

PubMed

Kong, Gaiqing; Zhou, Zhihao; Wang, Qining; Kording, Konrad; Wei, Kunlin

2017-10-17

It has been proposed that learning from movement errors involves a credit assignment problem: did I misestimate properties of the object or those of my body? For example, an overestimate of arm strength and an underestimate of the weight of a coffee cup can both lead to coffee spills. Though previous studies have found signs of simultaneous learning of the object and of the body during object manipulation, there is little behavioral evidence about their quantitative relation. Here we employed a novel weight-transportation task, in which participants lift the first cup filled with liquid while assessing their learning from errors. Specifically, we examined their transfer of learning when switching to a contralateral hand, the second identical cup, or switching both hands and cups. By comparing these transfer behaviors, we found that 25% of the learning was attributed to the object (simply because of the use of the same cup) and 58% of the learning was attributed to the body (simply because of the use of the same hand). The nervous system thus seems to partition the learning of object manipulation between the object and the body.

The impact of E-learning in medical education.

PubMed

Ruiz, Jorge G; Mintzer, Michael J; Leipzig, Rosanne M

2006-03-01

The authors provide an introduction to e-learning and its role in medical education by outlining key terms, the components of e-learning, the evidence for its effectiveness, faculty development needs for implementation, evaluation strategies for e-learning and its technology, and how e-learning might be considered evidence of academic scholarship. E-learning is the use of Internet technologies to enhance knowledge and performance. E-learning technologies offer learners control over content, learning sequence, pace of learning, time, and often media, allowing them to tailor their experiences to meet their personal learning objectives. In diverse medical education contexts, e-learning appears to be at least as effective as traditional instructor-led methods such as lectures. Students do not see e-learning as replacing traditional instructor-led training but as a complement to it, forming part of a blended-learning strategy. A developing infrastructure to support e-learning within medical education includes repositories, or digital libraries, to manage access to e-learning materials, consensus on technical standardization, and methods for peer review of these resources. E-learning presents numerous research opportunities for faculty, along with continuing challenges for documenting scholarship. Innovations in e-learning technologies point toward a revolution in education, allowing learning to be individualized (adaptive learning), enhancing learners' interactions with others (collaborative learning), and transforming the role of the teacher. The integration of e-learning into medical education can catalyze the shift toward applying adult learning theory, where educators will no longer serve mainly as the distributors of content, but will become more involved as facilitators of learning and assessors of competency.

A Comparison of the Efficacy of Individual and Collaborative Music Learning in Ensemble Rehearsals

ERIC Educational Resources Information Center

Brandler, Brian J.; Peynircioglu, Zehra F.

2015-01-01

Collaboration is essential in learning ensemble music. It is unclear, however, whether an individual benefits more from collaborative or individual rehearsal in the initial stages of such learning. In nonmusical domains, the effect of collaboration has been mixed, sometimes enhancing and sometimes inhibiting an individual's learning process. In…

Learning Alone or Together? A Combination Can Be Best!

ERIC Educational Resources Information Center

Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent

2017-01-01

Collaborative and individual learning are both frequently used in classrooms to support learning. However, little research has investigated the benefits of combining individual and collaborative learning, as compared to learning only individually or only collaboratively. With our study, we address this research gap. We compared a combined…

Predictable Locations Aid Early Object Name Learning

PubMed Central

Benitez, Viridiana L.; Smith, Linda B.

2012-01-01

Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18- month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The three experiments show that infants learn names for objects when those objects have predictable rather than varied locations, that infants who anticipate the location of named objects better learn those object names, and that infants integrate experiences that are separated in time but share a common location. Taken together, these results suggest that localized attention, cued attention, and spatial indexing are an inter-related set of processes in young children that aid in the early building of coherent object representations. The relevance of the experimental results and spatial attention for everyday word learning are discussed. PMID:22989872

Preceptors’ Self-Assessment of Their Ability to Perform the Learning Objectives of an Experiential Program

PubMed Central

2012-01-01

Objective. To evaluate preceptors’ perception of their ability to perform the Structured Practical Experiences in Pharmacy (SPEP) learning objectives through a self-assessment activity. Methods. A self-assessment instrument consisting of 28 learning objectives associated with clinic, community, and hospital pharmacy practice experiences were developed. Preceptors rated their performance ability for each of the learning objectives using a 3-point Likert scale. Results. Of the 116 preceptors, 89 (77%) completed the self-assessment survey instrument. The overall preceptor responses to the items on performance of the 28 SPEP learning objectives ranged from good to excellent. Years of experience, practice experience setting, and involvement as a SPEP or SPEP and PharmD preceptor had no influence on their self-reported capabilities. Conclusion. Most preceptors rated their ability to perform the learning objectives for the structured practical experiences in pharmacy as high. Competency areas requiring further preceptor development were identified. PMID:23193333

Social influence on associative learning: double dissociation in high-functioning autism, early-stage behavioural variant frontotemporal dementia and Alzheimer's disease.

PubMed

Kéri, Szabolcs

2014-05-01

Most of our learning activity takes place in a social context. I examined how social interactions influence associative learning in neurodegenerative diseases and atypical neurodevelopmental conditions primarily characterised by social cognitive and memory dysfunctions. Participants were individuals with high-functioning autism (HFA, n = 18), early-stage behavioural variant frontotemporal dementia (bvFTD, n = 16) and Alzheimer's disease (AD, n = 20). The leading symptoms in HFA and bvFTD were social and behavioural dysfunctions, whereas AD was characterised by memory deficits. Participants received three versions of a paired associates learning task. In the game with boxes test, objects were hidden in six candy boxes placed in different locations on the computer screen. In the game with faces, each box was labelled by a photo of a person. In the real-life version of the game, participants played with real persons. Individuals with HFA and bvFTD performed well in the computer games, but failed on the task including real persons. In contrast, in patients with early-stage AD, social interactions boosted paired associates learning up to the level of healthy control volunteers. Worse performance in the real life game was associated with less successful recognition of complex emotions and mental states in the Reading the Mind in the Eyes Test. Spatial span did not affect the results. When social cognition is impaired, but memory systems are less compromised (HFA and bvFTD), real-life interactions disrupt associative learning; when disease process impairs memory systems but social cognition is relatively intact (early-stage AD), social interactions have a beneficial effect on learning and memory. Copyright © 2014 Elsevier Ltd. All rights reserved.

Associative Mechanisms Allow for Social Learning and Cultural Transmission of String Pulling in an Insect

PubMed Central

Zhu, Xingfu; Ingraham, Thomas; Søvik, Eirik

2016-01-01

Social insects make elaborate use of simple mechanisms to achieve seemingly complex behavior and may thus provide a unique resource to discover the basic cognitive elements required for culture, i.e., group-specific behaviors that spread from “innovators” to others in the group via social learning. We first explored whether bumblebees can learn a nonnatural object manipulation task by using string pulling to access a reward that was presented out of reach. Only a small minority “innovated” and solved the task spontaneously, but most bees were able to learn to pull a string when trained in a stepwise manner. In addition, naïve bees learnt the task by observing a trained demonstrator from a distance. Learning the behavior relied on a combination of simple associative mechanisms and trial-and-error learning and did not require “insight”: naïve bees failed a “coiled-string experiment,” in which they did not receive instant visual feedback of the target moving closer when tugging on the string. In cultural diffusion experiments, the skill spread rapidly from a single knowledgeable individual to the majority of a colony’s foragers. We observed that there were several sequential sets (“generations”) of learners, so that previously naïve observers could first acquire the technique by interacting with skilled individuals and, subsequently, themselves become demonstrators for the next “generation” of learners, so that the longevity of the skill in the population could outlast the lives of informed foragers. This suggests that, so long as animals have a basic toolkit of associative and motor learning processes, the key ingredients for the cultural spread of unusual skills are already in place and do not require sophisticated cognition. PMID:27701411

Identifying a clinical signature of suicidality among patients with mood disorders: a pilot study using a machine learning approach

PubMed Central

Passos, Ives Cavalcante; Mwangi, Benson; Cao, Bo; Hamilton, Jane E; Wu, Mon-Ju; Zhang, Xiang Yang; Zunta-Soares, Giovana B.; Quevedo, Joao; Kauer-Sant'Anna, Marcia; Kapczinski, Flávio; Soares, Jair C.

2016-01-01

Objective A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However, what is not known is how to integrate clinical variables into a clinically useful tool in order to estimate the probability of an individual patient attempting suicide. Method A total of 144 patients with mood disorders were included. Clinical variables associated with suicide attempts among patients with mood disorders and demographic variables were used to ‘train’ a machine learning algorithm. The resulting algorithm was utilized in identifying novel or ‘unseen’ individual subjects as either suicide attempters or non-attempters. Three machine learning algorithms were implemented and evaluated. Results All algorithms distinguished individual suicide attempters from non-attempters with prediction accuracy ranging between 65%-72% (p<0.05). In particular, the relevance vector machine (RVM) algorithm correctly predicted 103 out of 144 subjects translating into 72% accuracy (72.1% sensitivity and 71.3% specificity) and an area under the curve of 0.77 (p<0.0001). The most relevant predictor variables in distinguishing attempters from non-attempters included previous hospitalizations for depression, a history of psychosis, cocaine dependence and post-traumatic stress disorder (PTSD) comorbidity. Conclusion Risk for suicide attempt among patients with mood disorders can be estimated at an individual subject level by incorporating both demographic and clinical variables. Future studies should examine the performance of this model in other populations and its subsequent utility in facilitating selection of interventions to prevent suicide. PMID:26773901

The Simple Act of Choosing Influences Declarative Memory

PubMed Central

Murty, Vishnu P.; DuBrow, Sarah

2015-01-01

Individuals value the opportunity to make choices and exert control over their environment. This perceived sense of agency has been shown to have broad influences on cognition, including preference, decision-making, and valuation. However, it is unclear whether perceived control influences memory. Using a combined behavioral and functional magnetic resonance imaging approach, we investigated whether imbuing individuals with a sense of agency over their learning experience influences novel memory encoding. Participants encoded objects during a task that manipulated the opportunity to choose. Critically, unlike previous work on active learning, there was no relationship between individuals' choices and the content of memoranda. Despite this, we found that the opportunity to choose resulted in robust, reliable enhancements in declarative memory. Neuroimaging results revealed that anticipatory activation of the striatum, a region associated with decision-making, valuation, and exploration, correlated with choice-induced memory enhancements in behavior. These memory enhancements were further associated with interactions between the striatum and hippocampus. Specifically, anticipatory signals in the striatum when participants are alerted to the fact that they will have to choose one of two memoranda were associated with encoding success effects in the hippocampus on a trial-by-trial basis. The precedence of the striatal signal in these interactions suggests a modulatory relationship of the striatum over the hippocampus. These findings not only demonstrate enhanced declarative memory when individuals have perceived control over their learning but also support a novel mechanism by which these enhancements emerge. Furthermore, they demonstrate a novel context in which mesolimbic and declarative memory systems interact. PMID:25904779

The simple act of choosing influences declarative memory.

PubMed

Murty, Vishnu P; DuBrow, Sarah; Davachi, Lila

2015-04-22

Individuals value the opportunity to make choices and exert control over their environment. This perceived sense of agency has been shown to have broad influences on cognition, including preference, decision-making, and valuation. However, it is unclear whether perceived control influences memory. Using a combined behavioral and functional magnetic resonance imaging approach, we investigated whether imbuing individuals with a sense of agency over their learning experience influences novel memory encoding. Participants encoded objects during a task that manipulated the opportunity to choose. Critically, unlike previous work on active learning, there was no relationship between individuals' choices and the content of memoranda. Despite this, we found that the opportunity to choose resulted in robust, reliable enhancements in declarative memory. Neuroimaging results revealed that anticipatory activation of the striatum, a region associated with decision-making, valuation, and exploration, correlated with choice-induced memory enhancements in behavior. These memory enhancements were further associated with interactions between the striatum and hippocampus. Specifically, anticipatory signals in the striatum when participants are alerted to the fact that they will have to choose one of two memoranda were associated with encoding success effects in the hippocampus on a trial-by-trial basis. The precedence of the striatal signal in these interactions suggests a modulatory relationship of the striatum over the hippocampus. These findings not only demonstrate enhanced declarative memory when individuals have perceived control over their learning but also support a novel mechanism by which these enhancements emerge. Furthermore, they demonstrate a novel context in which mesolimbic and declarative memory systems interact. Copyright © 2015 the authors 0270-6474/15/356255-10$15.00/0.

Participative Knowledge Production of Learning Objects for E-Books.

ERIC Educational Resources Information Center

Dodero, Juan Manuel; Aedo, Ignacio; Diaz, Paloma

2002-01-01

Defines a learning object as any digital resource that can be reused to support learning and thus considers electronic books as learning objects. Highlights include knowledge management; participative knowledge production, i.e. authoring electronic books by a distributed group of authors; participative knowledge production architecture; and…

Personalized Learning Objects Recommendation Based on the Semantic-Aware Discovery and the Learner Preference Pattern

ERIC Educational Resources Information Center

Wang, Tzone I; Tsai, Kun Hua; Lee, Ming Che; Chiu, Ti Kai

2007-01-01

With vigorous development of the Internet, especially the web page interaction technology, distant E-learning has become more and more realistic and popular. Digital courses may consist of many learning units or learning objects and, currently, many learning objects are created according to SCORM standard. It can be seen that, in the near future,…

Learning Object Retrieval and Aggregation Based on Learning Styles

ERIC Educational Resources Information Center

Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel

2017-01-01

The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…

3-Dimensional Scene Perception during Active Electrolocation in a Weakly Electric Pulse Fish

PubMed Central

von der Emde, Gerhard; Behr, Katharina; Bouton, Béatrice; Engelmann, Jacob; Fetz, Steffen; Folde, Caroline

2010-01-01

Weakly electric fish use active electrolocation for object detection and orientation in their environment even in complete darkness. The African mormyrid Gnathonemus petersii can detect object parameters, such as material, size, shape, and distance. Here, we tested whether individuals of this species can learn to identify 3-dimensional objects independently of the training conditions and independently of the object's position in space (rotation-invariance; size-constancy). Individual G. petersii were trained in a two-alternative forced-choice procedure to electrically discriminate between a 3-dimensional object (S+) and several alternative objects (S−). Fish were then tested whether they could identify the S+ among novel objects and whether single components of S+ were sufficient for recognition. Size-constancy was investigated by presenting the S+ together with a larger version at different distances. Rotation-invariance was tested by rotating S+ and/or S− in 3D. Our results show that electrolocating G. petersii could (1) recognize an object independently of the S− used during training. When only single components of a complex S+ were offered, recognition of S+ was more or less affected depending on which part was used. (2) Object-size was detected independently of object distance, i.e. fish showed size-constancy. (3) The majority of the fishes tested recognized their S+ even if it was rotated in space, i.e. these fishes showed rotation-invariance. (4) Object recognition was restricted to the near field around the fish and failed when objects were moved more than about 4 cm away from the animals. Our results indicate that even in complete darkness our G. petersii were capable of complex 3-dimensional scene perception using active electrolocation. PMID:20577635

Assessing the quality of activities in a smart environment.

PubMed

Cook, Diane J; Schmitter-Edgecombe, M

2009-01-01

Pervasive computing technology can provide valuable health monitoring and assistance technology to help individuals live independent lives in their own homes. As a critical part of this technology, our objective is to design software algorithms that recognize and assess the consistency of activities of daily living that individuals perform in their own homes. We have designed algorithms that automatically learn Markov models for each class of activity. These models are used to recognize activities that are performed in a smart home and to identify errors and inconsistencies in the performed activity. We validate our approach using data collected from 60 volunteers who performed a series of activities in our smart apartment testbed. The results indicate that the algorithms correctly label the activities and successfully assess the completeness and consistency of the performed task. Our results indicate that activity recognition and assessment can be automated using machine learning algorithms and smart home technology. These algorithms will be useful for automating remote health monitoring and interventions.

How long will my mouse live? Machine learning approaches for prediction of mouse life span.

PubMed

Swindell, William R; Harper, James M; Miller, Richard A

2008-09-01

Prediction of individual life span based on characteristics evaluated at middle-age represents a challenging objective for aging research. In this study, we used machine learning algorithms to construct models that predict life span in a stock of genetically heterogeneous mice. Life-span prediction accuracy of 22 algorithms was evaluated using a cross-validation approach, in which models were trained and tested with distinct subsets of data. Using a combination of body weight and T-cell subset measures evaluated before 2 years of age, we show that the life-span quartile to which an individual mouse belongs can be predicted with an accuracy of 35.3% (+/-0.10%). This result provides a new benchmark for the development of life-span-predictive models, but improvement can be expected through identification of new predictor variables and development of computational approaches. Future work in this direction can provide tools for aging research and will shed light on associations between phenotypic traits and longevity.

Learning Objects--Instructional Metadata and Sequencing.

ERIC Educational Resources Information Center

Redeker, Giselher

The main focus of current discussions within the standardization process of learning technology is on economical opportunities and technical aspects of learning objects. There has been little discussion about the instructional or didactical issues. The purpose of this paper is to conceptualize a taxonomy of learning objects for the facilitation of…

The International Learning Object Metadata Survey

ERIC Educational Resources Information Center

Friesen, Norm

2004-01-01

A wide range of projects and organizations is currently making digital learning resources (learning objects) available to instructors, students, and designers via systematic, standards-based infrastructures. One standard that is central to many of these efforts and infrastructures is known as Learning Object Metadata (IEEE 1484.12.1-2002, or LOM).…

Advancing Pharmacogenomics Education in the Core PharmD Curriculum through Student Personal Genomic Testing

PubMed Central

Adams, Solomon M.; Anderson, Kacey B.; Coons, James C.; Smith, Randall B.; Meyer, Susan M.; Parker, Lisa S.

2016-01-01

Objective. To develop, implement, and evaluate “Test2Learn” a program to enhance pharmacogenomics education through the use of personal genomic testing (PGT) and real genetic data. Design. One hundred twenty-two second-year doctor of pharmacy (PharmD) students in a required course were offered PGT as part of a larger program approach to teach pharmacogenomics within a robust ethical framework. The program added novel learning objectives, lecture materials, analysis tools, and exercises using individual-level and population-level genetic data. Outcomes were assessed with objective measures and pre/post survey instruments. Assessment. One hundred students (82%) underwent PGT. Knowledge significantly improved on multiple assessments. Genotyped students reported a greater increase in confidence in understanding test results by the end of the course. Similarly, undergoing PGT improved student’s self-perceived ability to empathize with patients compared to those not genotyped. Most students (71%) reported feeling PGT was an important part of the course, and 60% reported they had a better understanding of pharmacogenomics specifically because of the opportunity. Conclusion. Implementation of PGT in the core pharmacy curriculum was feasible, well-received, and enhanced student learning of pharmacogenomics. PMID:26941429

A workflow learning model to improve geovisual analytics utility

PubMed Central

Roth, Robert E; MacEachren, Alan M; McCabe, Craig A

2011-01-01

Introduction This paper describes the design and implementation of the G-EX Portal Learn Module, a web-based, geocollaborative application for organizing and distributing digital learning artifacts. G-EX falls into the broader context of geovisual analytics, a new research area with the goal of supporting visually-mediated reasoning about large, multivariate, spatiotemporal information. Because this information is unprecedented in amount and complexity, GIScientists are tasked with the development of new tools and techniques to make sense of it. Our research addresses the challenge of implementing these geovisual analytics tools and techniques in a useful manner. Objectives The objective of this paper is to develop and implement a method for improving the utility of geovisual analytics software. The success of software is measured by its usability (i.e., how easy the software is to use?) and utility (i.e., how useful the software is). The usability and utility of software can be improved by refining the software, increasing user knowledge about the software, or both. It is difficult to achieve transparent usability (i.e., software that is immediately usable without training) of geovisual analytics software because of the inherent complexity of the included tools and techniques. In these situations, improving user knowledge about the software through the provision of learning artifacts is as important, if not more so, than iterative refinement of the software itself. Therefore, our approach to improving utility is focused on educating the user. Methodology The research reported here was completed in two steps. First, we developed a model for learning about geovisual analytics software. Many existing digital learning models assist only with use of the software to complete a specific task and provide limited assistance with its actual application. To move beyond task-oriented learning about software use, we propose a process-oriented approach to learning based on the concept of scientific workflows. Second, we implemented an interface in the G-EX Portal Learn Module to demonstrate the workflow learning model. The workflow interface allows users to drag learning artifacts uploaded to the G-EX Portal onto a central whiteboard and then annotate the workflow using text and drawing tools. Once completed, users can visit the assembled workflow to get an idea of the kind, number, and scale of analysis steps, view individual learning artifacts associated with each node in the workflow, and ask questions about the overall workflow or individual learning artifacts through the associated forums. An example learning workflow in the domain of epidemiology is provided to demonstrate the effectiveness of the approach. Results/Conclusions In the context of geovisual analytics, GIScientists are not only responsible for developing software to facilitate visually-mediated reasoning about large and complex spatiotemporal information, but also for ensuring that this software works. The workflow learning model discussed in this paper and demonstrated in the G-EX Portal Learn Module is one approach to improving the utility of geovisual analytics software. While development of the G-EX Portal Learn Module is ongoing, we expect to release the G-EX Portal Learn Module by Summer 2009. PMID:21983545

A workflow learning model to improve geovisual analytics utility.

PubMed

Roth, Robert E; Maceachren, Alan M; McCabe, Craig A

2009-01-01

INTRODUCTION: This paper describes the design and implementation of the G-EX Portal Learn Module, a web-based, geocollaborative application for organizing and distributing digital learning artifacts. G-EX falls into the broader context of geovisual analytics, a new research area with the goal of supporting visually-mediated reasoning about large, multivariate, spatiotemporal information. Because this information is unprecedented in amount and complexity, GIScientists are tasked with the development of new tools and techniques to make sense of it. Our research addresses the challenge of implementing these geovisual analytics tools and techniques in a useful manner. OBJECTIVES: The objective of this paper is to develop and implement a method for improving the utility of geovisual analytics software. The success of software is measured by its usability (i.e., how easy the software is to use?) and utility (i.e., how useful the software is). The usability and utility of software can be improved by refining the software, increasing user knowledge about the software, or both. It is difficult to achieve transparent usability (i.e., software that is immediately usable without training) of geovisual analytics software because of the inherent complexity of the included tools and techniques. In these situations, improving user knowledge about the software through the provision of learning artifacts is as important, if not more so, than iterative refinement of the software itself. Therefore, our approach to improving utility is focused on educating the user. METHODOLOGY: The research reported here was completed in two steps. First, we developed a model for learning about geovisual analytics software. Many existing digital learning models assist only with use of the software to complete a specific task and provide limited assistance with its actual application. To move beyond task-oriented learning about software use, we propose a process-oriented approach to learning based on the concept of scientific workflows. Second, we implemented an interface in the G-EX Portal Learn Module to demonstrate the workflow learning model. The workflow interface allows users to drag learning artifacts uploaded to the G-EX Portal onto a central whiteboard and then annotate the workflow using text and drawing tools. Once completed, users can visit the assembled workflow to get an idea of the kind, number, and scale of analysis steps, view individual learning artifacts associated with each node in the workflow, and ask questions about the overall workflow or individual learning artifacts through the associated forums. An example learning workflow in the domain of epidemiology is provided to demonstrate the effectiveness of the approach. RESULTS/CONCLUSIONS: In the context of geovisual analytics, GIScientists are not only responsible for developing software to facilitate visually-mediated reasoning about large and complex spatiotemporal information, but also for ensuring that this software works. The workflow learning model discussed in this paper and demonstrated in the G-EX Portal Learn Module is one approach to improving the utility of geovisual analytics software. While development of the G-EX Portal Learn Module is ongoing, we expect to release the G-EX Portal Learn Module by Summer 2009.

Learning the 3-D structure of objects from 2-D views depends on shape, not format

PubMed Central

Tian, Moqian; Yamins, Daniel; Grill-Spector, Kalanit

2016-01-01

Humans can learn to recognize new objects just from observing example views. However, it is unknown what structural information enables this learning. To address this question, we manipulated the amount of structural information given to subjects during unsupervised learning by varying the format of the trained views. We then tested how format affected participants' ability to discriminate similar objects across views that were rotated 90° apart. We found that, after training, participants' performance increased and generalized to new views in the same format. Surprisingly, the improvement was similar across line drawings, shape from shading, and shape from shading + stereo even though the latter two formats provide richer depth information compared to line drawings. In contrast, participants' improvement was significantly lower when training used silhouettes, suggesting that silhouettes do not have enough information to generate a robust 3-D structure. To test whether the learned object representations were format-specific or format-invariant, we examined if learning novel objects from example views transfers across formats. We found that learning objects from example line drawings transferred to shape from shading and vice versa. These results have important implications for theories of object recognition because they suggest that (a) learning the 3-D structure of objects does not require rich structural cues during training as long as shape information of internal and external features is provided and (b) learning generates shape-based object representations independent of the training format. PMID:27153196

A Developmental Approach to Machine Learning?

PubMed Central

Smith, Linda B.; Slone, Lauren K.

2017-01-01

Visual learning depends on both the algorithms and the training material. This essay considers the natural statistics of infant- and toddler-egocentric vision. These natural training sets for human visual object recognition are very different from the training data fed into machine vision systems. Rather than equal experiences with all kinds of things, toddlers experience extremely skewed distributions with many repeated occurrences of a very few things. And though highly variable when considered as a whole, individual views of things are experienced in a specific order – with slow, smooth visual changes moment-to-moment, and developmentally ordered transitions in scene content. We propose that the skewed, ordered, biased visual experiences of infants and toddlers are the training data that allow human learners to develop a way to recognize everything, both the pervasively present entities and the rarely encountered ones. The joint consideration of real-world statistics for learning by researchers of human and machine learning seems likely to bring advances in both disciplines. PMID:29259573

Advanced Practice Internship: Experiential Learning in a Drug Use and Disease State Management Program

PubMed Central

Skledar, Susan J.; McKaveney, Teresa P.; Ward, Charles O.; Culley, Colleen M.; Ervin, Kelly C.; Weber, Robert J.

2006-01-01

Objective Establish a 3-year hospital internship within a drug use and disease state management program that would provide doctor of pharmacy students with experiential learning while still completing their classroom studies. Design As paid interns, students engaged in group and individual activities that assessed clinical practice guidelines. Patient monitoring and clinical intervention techniques were learned through prospective evaluation of drug therapy. Students designed evidence-based treatment guidelines and participated in all phases of development, including multidisciplinary approval, implementation, and evaluation stages. Assessment Student competency was continually monitored through direct observation by a preceptor and written examinations. Patient case studies, group discussions, and poster presentations allowed assessment of student growth in knowledge and communication skills. Conclusion The comprehensive structure of this internship provides a broad perspective for understanding the role of the hospital pharmacist in providing pharmaceutical care. Close supervision maximizes student learning potential and fosters a mentoring relationship for both personal and professional growth. PMID:17136188

Faculty Development Program Models to Advance Teaching and Learning Within Health Science Programs

PubMed Central

Lancaster, Jason W.; Stein, Susan M.; MacLean, Linda Garrelts; Van Amburgh, Jenny

2014-01-01

Within health science programs there has been a call for more faculty development, particularly for teaching and learning. The primary objectives of this review were to describe the current landscape for faculty development programs for teaching and learning and make recommendations for the implementation of new faculty development programs. A thorough search of the pertinent health science databases was conducted, including the Education Resource Information Center (ERIC), MEDLINE, and EMBASE, and faculty development books and relevant information found were reviewed in order to provide recommendations for best practices. Faculty development for teaching and learning comes in a variety of forms, from individuals charged to initiate activities to committees and centers. Faculty development has been effective in improving faculty perceptions on the value of teaching, increasing motivation and enthusiasm for teaching, increasing knowledge and behaviors, and disseminating skills. Several models exist that can be implemented to support faculty teaching development. Institutions need to make informed decisions about which plan could be most successfully implemented in their college or school. PMID:24954939

Faculty development program models to advance teaching and learning within health science programs.

PubMed

Lancaster, Jason W; Stein, Susan M; MacLean, Linda Garrelts; Van Amburgh, Jenny; Persky, Adam M

2014-06-17

Within health science programs there has been a call for more faculty development, particularly for teaching and learning. The primary objectives of this review were to describe the current landscape for faculty development programs for teaching and learning and make recommendations for the implementation of new faculty development programs. A thorough search of the pertinent health science databases was conducted, including the Education Resource Information Center (ERIC), MEDLINE, and EMBASE, and faculty development books and relevant information found were reviewed in order to provide recommendations for best practices. Faculty development for teaching and learning comes in a variety of forms, from individuals charged to initiate activities to committees and centers. Faculty development has been effective in improving faculty perceptions on the value of teaching, increasing motivation and enthusiasm for teaching, increasing knowledge and behaviors, and disseminating skills. Several models exist that can be implemented to support faculty teaching development. Institutions need to make informed decisions about which plan could be most successfully implemented in their college or school.

Twelve tips for a successful interprofessional team-based high-fidelity simulation education session

PubMed Central

Bould, M. Dylan; Layat Burn, Carine; Reeves, Scott

2014-01-01

Simulation-based education allows experiential learning without risk to patients. Interprofessional education aims to provide opportunities to different professions for learning how to work effectively together. Interprofessional simulation-based education presents many challenges, including the logistics of setting up the session and providing effective feedback to participants with different backgrounds and mental models. This paper aims to provide educators with a series of practical and pedagogical tips for designing, implementing, assessing, and evaluating a successful interprofessional team-based simulation session. The paper is organized in the sequence that an educator might use in developing an interprofessional simulation-based education session. Collectively, this paper provides guidance from determining interprofessional learning objectives and curricular design to program evaluation. With a better understanding of the concepts and pedagogical methods underlying interprofessional education and simulation, educators will be able to create conditions for a unique educational experience where individuals learn with and from other specialties and professions in a controlled, safe environment. PMID:25023765

Effect of tDCS on task relevant and irrelevant perceptual learning of complex objects.

PubMed

Van Meel, Chayenne; Daniels, Nicky; de Beeck, Hans Op; Baeck, Annelies

2016-01-01

During perceptual learning the visual representations in the brain are altered, but these changes' causal role has not yet been fully characterized. We used transcranial direct current stimulation (tDCS) to investigate the role of higher visual regions in lateral occipital cortex (LO) in perceptual learning with complex objects. We also investigated whether object learning is dependent on the relevance of the objects for the learning task. Participants were trained in two tasks: object recognition using a backward masking paradigm and an orientation judgment task. During both tasks, an object with a red line on top of it were presented in each trial. The crucial difference between both tasks was the relevance of the object: the object was relevant for the object recognition task, but not for the orientation judgment task. During training, half of the participants received anodal tDCS stimulation targeted at the lateral occipital cortex (LO). Afterwards, participants were tested on how well they recognized the trained objects, the irrelevant objects presented during the orientation judgment task and a set of completely new objects. Participants stimulated with tDCS during training showed larger improvements of performance compared to participants in the sham condition. No learning effect was found for the objects presented during the orientation judgment task. To conclude, this study suggests a causal role of LO in relevant object learning, but given the rather low spatial resolution of tDCS, more research on the specificity of this effect is needed. Further, mere exposure is not sufficient to train object recognition in our paradigm.

Mastering algebra retrains the visual system to perceive hierarchical structure in equations.

PubMed

Marghetis, Tyler; Landy, David; Goldstone, Robert L

2016-01-01

Formal mathematics is a paragon of abstractness. It thus seems natural to assume that the mathematical expert should rely more on symbolic or conceptual processes, and less on perception and action. We argue instead that mathematical proficiency relies on perceptual systems that have been retrained to implement mathematical skills. Specifically, we investigated whether the visual system-in particular, object-based attention-is retrained so that parsing algebraic expressions and evaluating algebraic validity are accomplished by visual processing. Object-based attention occurs when the visual system organizes the world into discrete objects, which then guide the deployment of attention. One classic signature of object-based attention is better perceptual discrimination within, rather than between, visual objects. The current study reports that object-based attention occurs not only for simple shapes but also for symbolic mathematical elements within algebraic expressions-but only among individuals who have mastered the hierarchical syntax of algebra. Moreover, among these individuals, increased object-based attention within algebraic expressions is associated with a better ability to evaluate algebraic validity. These results suggest that, in mastering the rules of algebra, people retrain their visual system to represent and evaluate abstract mathematical structure. We thus argue that algebraic expertise involves the regimentation and reuse of evolutionarily ancient perceptual processes. Our findings implicate the visual system as central to learning and reasoning in mathematics, leading us to favor educational approaches to mathematics and related STEM fields that encourage students to adapt, not abandon, their use of perception.

Exploring emerging learning needs: a UK-wide consultation on environmental sustainability learning objectives for medical education.

PubMed

Walpole, Sarah C; Mortimer, Frances; Inman, Alice; Braithwaite, Isobel; Thompson, Trevor

2015-12-24

This study aimed to engage wide-ranging stakeholders and develop consensus learning objectives for undergraduate and postgraduate medical education. A UK-wide consultation garnered opinions of healthcare students, healthcare educators and other key stakeholders about environmental sustainability in medical education. The policy Delphi approach informed this study. Draft learning objectives were revised iteratively during three rounds of consultation: online questionnaire or telephone interview, face-to-face seminar and email consultation. Twelve draft learning objectives were developed based on review of relevant literature. In round one, 64 participants' median ratings of the learning objectives were 3.5 for relevance and 3.0 for feasibility on a Likert scale of one to four. Revisions were proposed, e.g. to highlight relevance to public health and professionalism. Thirty three participants attended round two. Conflicting opinions were explored. Added content areas included health benefits of sustainable behaviours. To enhance usability, restructuring provided three overarching learning objectives, each with subsidiary points. All participants from rounds one and two were contacted in round three, and no further edits were required. This is the first attempt to define consensus learning objectives for medical students about environmental sustainability. Allowing a wide range of stakeholders to comment on multiple iterations of the document stimulated their engagement with the issues raised and ownership of the resulting learning objectives.

Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning

PubMed Central

Raza, Meher; Ivry, Richard B.

2016-01-01

In standard taxonomies, motor skills are typically treated as representative of implicit or procedural memory. We examined two emblematic tasks of implicit motor learning, sensorimotor adaptation and sequence learning, asking whether individual differences in learning are correlated between these tasks, as well as how individual differences within each task are related to different performance variables. As a prerequisite, it was essential to establish the reliability of learning measures for each task. Participants were tested twice on a visuomotor adaptation task and on a sequence learning task, either the serial reaction time task or the alternating reaction time task. Learning was evident in all tasks at the group level and reliable at the individual level in visuomotor adaptation and the alternating reaction time task but not in the serial reaction time task. Performance variability was predictive of learning in both domains, yet the relationship was in the opposite direction for adaptation and sequence learning. For the former, faster learning was associated with lower variability, consistent with models of sensorimotor adaptation in which learning rates are sensitive to noise. For the latter, greater learning was associated with higher variability and slower reaction times, factors that may facilitate the spread of activation required to form predictive, sequential associations. Interestingly, learning measures of the different tasks were not correlated. Together, these results oppose a shared process for implicit learning in sensorimotor adaptation and sequence learning and provide insight into the factors that account for individual differences in learning within each task domain. NEW & NOTEWORTHY We investigated individual differences in the ability to implicitly learn motor skills. As a prerequisite, we assessed whether individual differences were reliable across test sessions. We found that two commonly used tasks of implicit learning, visuomotor adaptation and the alternating serial reaction time task, exhibited good test-retest reliability in measures of learning and performance. However, the learning measures did not correlate between the two tasks, arguing against a shared process for implicit motor learning. PMID:27832611

[Digital learning object for diagnostic reasoning in nursing applied to the integumentary system].

PubMed

da Costa, Cecília Passos Vaz; Luz, Maria Helena Barros Araújo

2015-12-01

To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.

Learning in the zone: toward workforce development of evidence-based public policy communication.

PubMed

Meyerson, Beth E; Haderxhanaj, Laura T; Comer, Karen; Zimet, Gregory D

2018-06-05

Evidence-based policy communication (EBPC) is an important, emerging focus in public health research. However, we have yet to understand public health workforce ability to develop and/or use it. The study objective was to characterize capacity to develop and use EBPC and identify cooperative learning and development opportunities using the case of Human papillomavirus (HPV). Vygotsky's Zone of Proximal Development (ZPD) informed guided interviews with 27 advocates in Indiana from government, industry, research, state associations and individuals. Participants focused on HPV, cancer, women's health, school health and minority health. Capacity to develop and use EBPC was reported to develop through cooperative learning opportunities on the job or in advocacy focused coalitions. Coalition learning appeared to translate across health topics. Notably, policy experience did not assure understanding or use of EBPC. The ZPD framework can inform workforce EBPC interventions by focusing on actual development, potential development and factors for learning and development in the ZPD. Future studies should further clarify and evaluate emerging indicators in additional public health policy areas with a larger sample.

Modulating Motor Learning through Transcranial Direct-Current Stimulation: An Integrative View

PubMed Central

Ammann, Claudia; Spampinato, Danny; Márquez-Ruiz, Javier

2016-01-01

Motor learning consists of the ability to improve motor actions through practice playing a major role in the acquisition of skills required for high-performance sports or motor function recovery after brain lesions. During the last decades, it has been reported that transcranial direct-current stimulation (tDCS), consisting in applying weak direct current through the scalp, is able of inducing polarity-specific changes in the excitability of cortical neurons. This low-cost, painless and well-tolerated portable technique has found a wide-spread use in the motor learning domain where it has been successfully applied to enhance motor learning in healthy individuals and for motor recovery after brain lesion as well as in pathological states associated to motor deficits. The main objective of this mini-review is to offer an integrative view about the potential use of tDCS for human motor learning modulation. Furthermore, we introduce the basic mechanisms underlying immediate and long-term effects associated to tDCS along with important considerations about its limitations and progression in recent years. PMID:28066300

Social Learning as a Way to Overcome Choice-Induced Preferences? Insights from Humans and Rhesus Macaques

PubMed Central

Monfardini, Elisabetta; Gaveau, Valérie; Boussaoud, Driss; Hadj-Bouziane, Fadila; Meunier, Martine

2012-01-01

Much theoretical attention is currently devoted to social learning. Yet, empirical studies formally comparing its effectiveness relative to individual learning are rare. Here, we focus on free choice, which is at the heart of individual reward-based learning, but absent in social learning. Choosing among two equally valued options is known to create a preference for the selected option in both humans and monkeys. We thus surmised that social learning should be more helpful when choice-induced preferences retard individual learning than when they optimize it. To test this prediction, the same task requiring to find which among two items concealed a reward was applied to rhesus macaques and humans. The initial trial was individual or social, rewarded or unrewarded. Learning was assessed on the second trial. Choice-induced preference strongly affected individual learning. Monkeys and humans performed much more poorly after an initial negative choice than after an initial positive choice. Comparison with social learning verified our prediction. For negative outcome, social learning surpassed or at least equaled individual learning in all subjects. For positive outcome, the predicted superiority of individual learning did occur in a majority of subjects (5/6 monkeys and 6/12 humans). A minority kept learning better socially though, perhaps due to a more dominant/aggressive attitude toward peers. Poor learning from errors due to over-valuation of personal choices is among the decision-making biases shared by humans and animals. The present study suggests that choice-immune social learning may help curbing this potentially harmful tendency. Learning from successes is an easier path. The present data suggest that whether one tends to walk it alone or with a peer’s help might depend on the social dynamics within the actor/observer dyad. PMID:22969703

A biologically inspired neural network model to transformation invariant object recognition

NASA Astrophysics Data System (ADS)

Iftekharuddin, Khan M.; Li, Yaqin; Siddiqui, Faraz

2007-09-01

Transformation invariant image recognition has been an active research area due to its widespread applications in a variety of fields such as military operations, robotics, medical practices, geographic scene analysis, and many others. The primary goal for this research is detection of objects in the presence of image transformations such as changes in resolution, rotation, translation, scale and occlusion. We investigate a biologically-inspired neural network (NN) model for such transformation-invariant object recognition. In a classical training-testing setup for NN, the performance is largely dependent on the range of transformation or orientation involved in training. However, an even more serious dilemma is that there may not be enough training data available for successful learning or even no training data at all. To alleviate this problem, a biologically inspired reinforcement learning (RL) approach is proposed. In this paper, the RL approach is explored for object recognition with different types of transformations such as changes in scale, size, resolution and rotation. The RL is implemented in an adaptive critic design (ACD) framework, which approximates the neuro-dynamic programming of an action network and a critic network, respectively. Two ACD algorithms such as Heuristic Dynamic Programming (HDP) and Dual Heuristic dynamic Programming (DHP) are investigated to obtain transformation invariant object recognition. The two learning algorithms are evaluated statistically using simulated transformations in images as well as with a large-scale UMIST face database with pose variations. In the face database authentication case, the 90° out-of-plane rotation of faces from 20 different subjects in the UMIST database is used. Our simulations show promising results for both designs for transformation-invariant object recognition and authentication of faces. Comparing the two algorithms, DHP outperforms HDP in learning capability, as DHP takes fewer steps to perform a successful recognition task in general. Further, the residual critic error in DHP is generally smaller than that of HDP, and DHP achieves a 100% success rate more frequently than HDP for individual objects/subjects. On the other hand, HDP is more robust than the DHP as far as success rate across the database is concerned when applied in a stochastic and uncertain environment, and the computational time involved in DHP is more.

Developing Learning Objectives for Accounting Ethics Using Bloom's Taxonomy

ERIC Educational Resources Information Center

Kidwell, Linda A.; Fisher, Dann G.; Braun, Robert L.; Swanson, Diane L.

2013-01-01

The purpose of our article is to offer a set of core knowledge learning objectives for accounting ethics education. Using Bloom's taxonomy of educational objectives, we develop learning objectives in six content areas: codes of ethical conduct, corporate governance, the accounting profession, moral development, classical ethics theories, and…

Design, Development, and Validation of Learning Objects

ERIC Educational Resources Information Center

Nugent, Gwen; Soh, Leen-Kiat; Samal, Ashok

2006-01-01

A learning object is a small, stand-alone, mediated content resource that can be reused in multiple instructional contexts. In this article, we describe our approach to design, develop, and validate Shareable Content Object Reference Model (SCORM) compliant learning objects for undergraduate computer science education. We discuss the advantages of…

Rapid learning dynamics in individual honeybees during classical conditioning.

PubMed

Pamir, Evren; Szyszka, Paul; Scheiner, Ricarda; Nawrot, Martin P

2014-01-01

Associative learning in insects has been studied extensively by a multitude of classical conditioning protocols. However, so far little emphasis has been put on the dynamics of learning in individuals. The honeybee is a well-established animal model for learning and memory. We here studied associative learning as expressed in individual behavior based on a large collection of data on olfactory classical conditioning (25 datasets, 3298 animals). We show that the group-averaged learning curve and memory retention score confound three attributes of individual learning: the ability or inability to learn a given task, the generally fast acquisition of a conditioned response (CR) in learners, and the high stability of the CR during consecutive training and memory retention trials. We reassessed the prevailing view that more training results in better memory performance and found that 24 h memory retention can be indistinguishable after single-trial and multiple-trial conditioning in individuals. We explain how inter-individual differences in learning can be accommodated within the Rescorla-Wagner theory of associative learning. In both data-analysis and modeling we demonstrate how the conflict between population-level and single-animal perspectives on learning and memory can be disentangled.

Rapid learning dynamics in individual honeybees during classical conditioning

PubMed Central

Pamir, Evren; Szyszka, Paul; Scheiner, Ricarda; Nawrot, Martin P.

2014-01-01

Associative learning in insects has been studied extensively by a multitude of classical conditioning protocols. However, so far little emphasis has been put on the dynamics of learning in individuals. The honeybee is a well-established animal model for learning and memory. We here studied associative learning as expressed in individual behavior based on a large collection of data on olfactory classical conditioning (25 datasets, 3298 animals). We show that the group-averaged learning curve and memory retention score confound three attributes of individual learning: the ability or inability to learn a given task, the generally fast acquisition of a conditioned response (CR) in learners, and the high stability of the CR during consecutive training and memory retention trials. We reassessed the prevailing view that more training results in better memory performance and found that 24 h memory retention can be indistinguishable after single-trial and multiple-trial conditioning in individuals. We explain how inter-individual differences in learning can be accommodated within the Rescorla–Wagner theory of associative learning. In both data-analysis and modeling we demonstrate how the conflict between population-level and single-animal perspectives on learning and memory can be disentangled. PMID:25309366

Learning Objects as Tools for Teaching Information Literacy Online: A Survey of Librarian Usage

ERIC Educational Resources Information Center

Mestre, Lori S.; Baures, Lisa; Niedbala, Mona; Bishop, Corinne; Cantrell, Sarah; Perez, Alice; Silfen, Kate

2011-01-01

Based on information gathered from two discussion sessions moderated by members of the Education and Behavioral Sciences Section's Online Learning Research Committee a survey was conducted to identify how librarians use course/learning management systems and learning objects to deliver instruction. Objectives of the study were to identify the…

Learning from Objects: A Future for 21st Century Urban Arts Education

ERIC Educational Resources Information Center

Lasky, Dorothea

2009-01-01

In this technological age, where mind and body are increasingly disconnected in the classroom, object-based learning--along with strong museum-school partnerships--provide many benefits for student learning. In this article, the author first outlines some of the special mind-body connections that object-based learning in museums affords learners…

Learning Grasp Context Distinctions that Generalize

NASA Technical Reports Server (NTRS)

Platt, Robert; Grupen, Roderic A.; Fagg, Andrew H.

2006-01-01

Control-based approaches to grasp synthesis create grasping behavior by sequencing and combining control primitives. In the absence of any other structure, these approaches must evaluate a large number of feasible control sequences as a function of object shape, object pose, and task. This work explores a new approach to grasp synthesis that limits consideration to variations on a generalized localize-reach-grasp control policy. A new learning algorithm, known as schema structured learning, is used to learn which instantiations of the generalized policy are most likely to lead to a successful grasp in different problem contexts. Two experiments are described where Dexter, a bimanual upper torso, learns to select an appropriate grasp strategy as a function of object eccentricity and orientation. In addition, it is shown that grasp skills learned in this way can generalize to new objects. Results are presented showing that after learning how to grasp a small, representative set of objects, the robot's performance quantitatively improves for similar objects that it has not experienced before.

A novel, web-based application for assessing and enhancing practice-based learning in surgery residency.

PubMed

Wu, Bob J; Dietz, Patrick A; Bordley, James; Borgstrom, David C

2009-01-01

Practice-Based Learning and Improvement (PBLI) is 1 of 6 integral competencies required by the Accreditation Council for Graduate Medical Education (ACGME) for proof of adequate resident training and accreditation of residency programs. Moreover, the Outcome Project of the ACGME is beginning to enforce the provision of documented, objective evidence of resident PBLI. Current assessment tools, such as resident portfolios and performance evaluations, by faculty tend to be qualitative in nature. However, few objective, outcome-based, and quantitative evaluation tools have been developed. A web-based application was designed to assess every consultation performed by senior residents at a university-affiliated general surgery residency. In real time, residents documented patient presentations along with their initial impression and plan. As patient outcomes became available, they were also documented into this application, which allowed residents to self-assess whether their impressions and plans were correct. A running "batting average" (BA) is then calculated based on percentage correct. Seven senior residents participated in this study, which included a total of 459 consults: 222 documented by PGY4 residents and 237 documented by PGY5 residents. The average BA of PGY4 residents in their first 3 months was 82.9%, which was followed by 85.9%, 88.7%, and 94.3% for each of the next 3 quarters. For PGY5 residents, the corresponding results were 96.4%, 94.4%, 93.8%, and 96.4% respectively. A web-based outcome-tracking program is useful for conducting rapid and ongoing evaluation of residents' practice-based learning, generating data for analysis of individual resident knowledge gaps, stimulating self-assessment and targeted learning, as well as providing objective data of PBLI for accreditation purposes.

Transforming clinical imaging and 3D data for virtual reality learning objects: HTML5 and mobile devices implementation.

PubMed

Trelease, Robert B; Nieder, Gary L

2013-01-01

Web deployable anatomical simulations or "virtual reality learning objects" can easily be produced with QuickTime VR software, but their use for online and mobile learning is being limited by the declining support for web browser plug-ins for personal computers and unavailability on popular mobile devices like Apple iPad and Android tablets. This article describes complementary methods for creating comparable, multiplatform VR learning objects in the new HTML5 standard format, circumventing platform-specific limitations imposed by the QuickTime VR multimedia file format. Multiple types or "dimensions" of anatomical information can be embedded in such learning objects, supporting different kinds of online learning applications, including interactive atlases, examination questions, and complex, multi-structure presentations. Such HTML5 VR learning objects are usable on new mobile devices that do not support QuickTime VR, as well as on personal computers. Furthermore, HTML5 VR learning objects can be embedded in "ebook" document files, supporting the development of new types of electronic textbooks on mobile devices that are increasingly popular and self-adopted for mobile learning. © 2012 American Association of Anatomists.

Response to environmental change in rainbow trout selected for divergent stress coping styles.

PubMed

Ruiz-Gomez, Maria de Lourdes; Huntingford, Felicity A; Øverli, Øyvind; Thörnqvist, Per-Ove; Höglund, Erik

2011-03-01

An extensive literature has documented differences in the way individual animals cope with environmental challenges and stressors. Two broad patterns of individual variability in behavioural and physiological stress responses are described as the proactive and reactive stress coping styles. In addition to variability in the stress response, contrasting coping styles may encompass a general difference in behavioural flexibility as opposed to routine formation in response to more subtle environmental changes and non-threatening novelties. In the present study two different manipulations, relocating food from a previously learned location, and introducing a novel object yielded contrasting responses in rainbow trout selected for high (HR) and low (LR) post stress plasma cortisol levels. No difference was seen in the rate of learning the original food location; however, proactive LR fish were markedly slower than reactive HR fish in altering their food seeking behaviour in response to relocated food. In contrast, LR fish largely ignored a novel object which disrupted feeding in HR fish. Hence, it appears that the two lines appraise environmental cues differently. This observation suggests that differences in responsiveness to environmental change are an integral component of heritable stress coping styles, which in this particular case, had opposite effects on foraging efficiency in different situations. Context dependent fitness effects may thus explain the persistence of stable divergence of this evolutionary widespread trait complex. 2010 Elsevier Inc. All rights reserved.

Role of expressive behaviour for robots that learn from people.

PubMed

Breazeal, Cynthia

2009-12-12

Robotics has traditionally focused on developing intelligent machines that can manipulate and interact with objects. The promise of personal robots, however, challenges researchers to develop socially intelligent robots that can collaborate with people to do things. In the future, robots are envisioned to assist people with a wide range of activities such as domestic chores, helping elders to live independently longer, serving a therapeutic role to help children with autism, assisting people undergoing physical rehabilitation and much more. Many of these activities shall require robots to learn new tasks, skills and individual preferences while 'on the job' from people with little expertise in the underlying technology. This paper identifies four key challenges in developing social robots that can learn from natural interpersonal interaction. The author highlights the important role that expressive behaviour plays in this process, drawing on examples from the past 8 years of her research group, the Personal Robots Group at the MIT Media Lab.

Language, procedures, and the non-perceptual origin of number word meanings.

PubMed

Barner, David

2017-05-01

Perceptual representations of objects and approximate magnitudes are often invoked as building blocks that children combine to acquire the positive integers. Systems of numerical perception are either assumed to contain the logical foundations of arithmetic innately, or to supply the basis for their induction. I propose an alternative to this framework, and argue that the integers are not learned from perceptual systems, but arise to explain perception. Using cross-linguistic and developmental data, I show that small (~1-4) and large (~5+) numbers arise both historically and in individual children via distinct mechanisms, constituting independent learning problems, neither of which begins with perceptual building blocks. Children first learn small numbers using the same logic that supports other linguistic number marking (e.g. singular/plural). Years later, they infer the logic of counting from the relations between large number words and their roles in blind counting procedures, only incidentally associating number words with approximate magnitudes.

Evolution of costly explicit memory and cumulative culture.

PubMed

Nakamaru, Mayuko

2016-06-21

Humans can acquire new information and modify it (cumulative culture) based on their learning and memory abilities, especially explicit memory, through the processes of encoding, consolidation, storage, and retrieval. Explicit memory is categorized into semantic and episodic memories. Animals have semantic memory, while episodic memory is unique to humans and essential for innovation and the evolution of culture. As both episodic and semantic memory are needed for innovation, the evolution of explicit memory influences the evolution of culture. However, previous theoretical studies have shown that environmental fluctuations influence the evolution of imitation (social learning) and innovation (individual learning) and assume that memory is not an evolutionary trait. If individuals can store and retrieve acquired information properly, they can modify it and innovate new information. Therefore, being able to store and retrieve information is essential from the perspective of cultural evolution. However, if both storage and retrieval were too costly, forgetting and relearning would have an advantage over storing and retrieving acquired information. In this study, using mathematical analysis and individual-based simulations, we investigate whether cumulative culture can promote the coevolution of costly memory and social and individual learning, assuming that cumulative culture improves the fitness of each individual. The conclusions are: (1) without cumulative culture, a social learning cost is essential for the evolution of storage-retrieval. Costly storage-retrieval can evolve with individual learning but costly social learning does not evolve. When low-cost social learning evolves, the repetition of forgetting and learning is favored more than the evolution of costly storage-retrieval, even though a cultural trait improves the fitness. (2) When cumulative culture exists and improves fitness, storage-retrieval can evolve with social and/or individual learning, which is not influenced by the degree of the social learning cost. Whether individuals socially learn a low level of culture from observing a high or the low level of culture influences the evolution of memory and learning, especially individual learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

Testing the Effects of Educational Strategies on Comprehension of a Genomic Concept Using Virtual Reality Technology

PubMed Central

Kaphingst, Kimberly A.; Persky, Susan; McCall, Cade; Lachance, Christina; Loewenstein, Johanna; Beall, Andrew C.; Blascovich, Jim

2009-01-01

Objective Applying genetic susceptibility information to improve health will likely require educating patients about abstract concepts, for which there is little existing research. This experimental study examined the effect of learning mode on comprehension of a genomic concept. Methods 156 individuals aged 18–40 without specialized knowledge were randomly assigned to either a virtual reality active learning or didactic learning condition. The outcome was comprehension (recall, transfer, mental models). Results Change in recall was greater for didactic learning than active learning (p<0.001). Mean transfer and change in mental models were also higher for didactic learning (p<0.0001 and p<0.05, respectively). Believability was higher for didactic learning (p<0.05), while ratings for motivation (p<0.05), interest (p<0.0001), and enjoyment (p<0.0001) were higher for active learning, but these variables did not mediate the association between learning mode and comprehension. Conclusion These results show that learning mode affects comprehension, but additional research is needed regarding how and in what contexts different approaches are best for educating patients about abstract concepts. Practice implications Didactic, interpersonal health education approaches may be more effective than interactive games in educating patients about abstract, unfamiliar concepts. These findings indicate the importance of traditional health education approaches in emerging areas like genomics. PMID:19409749

[E-Learning in radiology; the practical use of the content management system ILIAS].

PubMed

Schütze, B; Mildenberger, P; Kämmerer, M

2006-05-01

Due to the possibility of using different kinds of visualization, e-learning has the advantage of allowing individualized learning. A check should be performed to determine whether the use of the web-based content management system ILIAS simplifies the writing and production of electronic learning modules in radiology. Internet-based e-learning provides access to existing learning modules regardless of time and location, since fast Internet connections are readily available. Web Content Management Systems (WCMS) are suitable platforms for imparting radiology-related information (visual abilities like the recognition of patterns as well as interdisciplinary specialized knowledge). The open source product ILIAS is a free WCMS. It is used by many universities and is accepted by both students and lecturers. Its modular and object-oriented software architecture makes it easy to adapt and enlarge the platform. The employment of e-learning standards such as LOM and SCORM within ILIAS makes it possible to reuse contents, even if the platform has to be changed. ILIAS renders it possible to provide students with texts, images, or files of any other kind within a learning context which is defined by the lecturer. Students can check their acquired knowledge via online testing and receive direct performance feedback. The significant interest that students have shown in ILIAS proves that e-learning can be a useful addition to conventional learning methods.

Authoring of Learning Objects in Context

ERIC Educational Resources Information Center

Specht, Marcus; Kravcik, Milos

2006-01-01

Learning objects and content interchange standards provide new possibilities for e-learning. Nevertheless the content often lacks context data to find appropriate use for adaptive learning on demand and personalized learning experiences. In the Remotely Accessible Field Trips (RAFT) project mobile authoring of learning content in context has shown…

Improvements in motor tasks through the use of smartphone technology for individuals with Duchenne muscular dystrophy

PubMed Central

Capelini, Camila Miliani; da Silva, Talita Dias; Tonks, James; Watson, Suzanna; Alvarez, Mayra Priscila Boscolo; de Menezes, Lilian Del Ciello; Favero, Francis Meire; Caromano, Fátima Aparecida; Massetti, Thais; de Mello Monteiro, Carlos Bandeira

2017-01-01

Background In individuals severely affected with Duchenne muscular dystrophy (DMD), virtual reality has recently been used as a tool to enhance community interaction. Smartphones offer the exciting potential to improve communication, access, and participation, and present the unique opportunity to directly deliver functionality to people with disabilities. Objective To verify whether individuals with DMD improve their motor performance when undertaking a visual motor task using a smartphone game. Patients and methods Fifty individuals with DMD and 50 healthy, typically developing (TD) controls, aged 10–34 years participated in the study. The functional characterization of the sample was determined through Vignos, Egen Klassifikation, and the Motor Function Measure scales. To complete the task, individuals moved a virtual ball around a virtual maze and the time in seconds was measured after every attempt in order to analyze improvement of performance after the practice trials. Motor performance (time to finish each maze) was measured in phases of acquisition, short-term retention, and transfer. Results Use of the smartphone maze game promoted improvement in performance during acquisition in both groups, which remained in the retention phase. At the transfer phases, with alternative maze tasks, the performance in DMD group was similar to the performance of TD group, with the exception of the transfer to the contralateral hand (nondominant). However, the group with DMD demonstrated longer movement time at all stages of learning, compared with the TD group. Conclusion The practice of a visual motor task delivered via smartphone game promoted an improvement in performance with similar patterns of learning in both groups. Performance can be influenced by task difficulty, and for people with DMD, motor deficits are responsible for the lower speed of execution. This study indicates that individuals with DMD showed improved performance in a short-term motor learning protocol using a smartphone. We advocate that this technology could be used to promote function in this population. PMID:28860778

Work Injury Risk Among Young People With Learning Disabilities and Attention-Deficit/Hyperactivity Disorder in Canada

PubMed Central

Pole, Jason D.

2009-01-01

Objectives. We sought to gain a better understanding of the relationship between learning disabilities, attention-deficit/hyperactivity disorder (ADHD), and risk of occupational injury among young workers. Methods. We assessed 15- to 24-year-old workers (n = 14 379) from cycle 2.1 of the Canadian Community Health Survey (CCHS). We gathered data on demographic characteristics, work-related factors, and presence of learning disabilities or ADHD. We conducted a multivariate logistic regression analysis to assess occurrences of medically attended work injuries. Results. There was an 89% adjusted increase in work injury risk among workers with self-reported dyslexia (a type of learning disability) relative to workers reporting no learning disabilities, although this result did not meet traditional statistical significance criteria. Being out of school, either with or without a high school diploma, was associated with a significantly increased risk of work injury, even after control for a number of demographic and work-related variables. Conclusions. Our findings underscore the notion that individual differences salient in the education system (e.g., learning disabilities, school dropout) need to be integrated into conceptual models of injury risk among young workers. PMID:19542044

How does the brain rapidly learn and reorganize view-invariant and position-invariant object representations in the inferotemporal cortex?

PubMed

Cao, Yongqiang; Grossberg, Stephen; Markowitz, Jeffrey

2011-12-01

All primates depend for their survival on being able to rapidly learn about and recognize objects. Objects may be visually detected at multiple positions, sizes, and viewpoints. How does the brain rapidly learn and recognize objects while scanning a scene with eye movements, without causing a combinatorial explosion in the number of cells that are needed? How does the brain avoid the problem of erroneously classifying parts of different objects together at the same or different positions in a visual scene? In monkeys and humans, a key area for such invariant object category learning and recognition is the inferotemporal cortex (IT). A neural model is proposed to explain how spatial and object attention coordinate the ability of IT to learn invariant category representations of objects that are seen at multiple positions, sizes, and viewpoints. The model clarifies how interactions within a hierarchy of processing stages in the visual brain accomplish this. These stages include the retina, lateral geniculate nucleus, and cortical areas V1, V2, V4, and IT in the brain's What cortical stream, as they interact with spatial attention processes within the parietal cortex of the Where cortical stream. The model builds upon the ARTSCAN model, which proposed how view-invariant object representations are generated. The positional ARTSCAN (pARTSCAN) model proposes how the following additional processes in the What cortical processing stream also enable position-invariant object representations to be learned: IT cells with persistent activity, and a combination of normalizing object category competition and a view-to-object learning law which together ensure that unambiguous views have a larger effect on object recognition than ambiguous views. The model explains how such invariant learning can be fooled when monkeys, or other primates, are presented with an object that is swapped with another object during eye movements to foveate the original object. The swapping procedure is predicted to prevent the reset of spatial attention, which would otherwise keep the representations of multiple objects from being combined by learning. Li and DiCarlo (2008) have presented neurophysiological data from monkeys showing how unsupervised natural experience in a target swapping experiment can rapidly alter object representations in IT. The model quantitatively simulates the swapping data by showing how the swapping procedure fools the spatial attention mechanism. More generally, the model provides a unifying framework, and testable predictions in both monkeys and humans, for understanding object learning data using neurophysiological methods in monkeys, and spatial attention, episodic learning, and memory retrieval data using functional imaging methods in humans. Copyright © 2011 Elsevier Ltd. All rights reserved.

View-Invariant Object Category Learning, Recognition, and Search: How Spatial and Object Attention are Coordinated Using Surface-Based Attentional Shrouds

ERIC Educational Resources Information Center

Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio

2009-01-01

How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified…

Guidelines: the do's, don'ts and don't knows of feedback for clinical education.

PubMed

Lefroy, Janet; Watling, Chris; Teunissen, Pim W; Brand, Paul

2015-12-01

The guidelines offered in this paper aim to amalgamate the literature on formative feedback into practical Do's, Don'ts and Don't Knows for individual clinical supervisors and for the institutions that support clinical learning. The authors built consensus by an iterative process. Do's and Don'ts were proposed based on authors' individual teaching experience and awareness of the literature, and the amalgamated set of guidelines were then refined by all authors and the evidence was summarized for each guideline. Don't Knows were identified as being important questions to this international group of educators which if answered would change practice. The criteria for inclusion of evidence for these guidelines were not those of a systematic review, so indicators of strength of these recommendations were developed which combine the evidence with the authors' consensus. A set of 32 Do and Don't guidelines with the important Don't Knows was compiled along with a summary of the evidence for each. These are divided into guidelines for the individual clinical supervisor giving feedback to their trainee (recommendations about both the process and the content of feedback) and guidelines for the learning culture (what elements of learning culture support the exchange of meaningful feedback, and what elements constrain it?) Feedback is not easy to get right, but it is essential to learning in medicine, and there is a wealth of evidence supporting the Do's and warning against the Don'ts. Further research into the critical Don't Knows of feedback is required. A new definition is offered: Helpful feedback is a supportive conversation that clarifies the trainee's awareness of their developing competencies, enhances their self-efficacy for making progress, challenges them to set objectives for improvement, and facilitates their development of strategies to enable that improvement to occur.

Building Communities for the Exchange of Learning Objects: Theoretical Foundations and Requirements

ERIC Educational Resources Information Center

Koper, Rob; Pannekeet, Kees; Hendriks, Maaike; Hummel, Hans

2004-01-01

In order to reduce overall costs of developing high-quality digital courses (including both the content, and the learning and teaching activities), the exchange of learning objects has been recognized as a promising solution. This article makes an inventory of the issues involved in the exchange of learning objects within a community. It explores…

Aggression and Related Behavioral Traits: The Impact of Winning and Losing and the Role of Hormones

PubMed Central

Chang, Ching; Li, Cheng-Yu; Earley, Ryan L.; Hsu, Yuying

2012-01-01

A suite of correlated behaviors reflecting between-individual consistency in behavior across multiple situations is termed a “behavioral syndrome.” Researchers have suggested that a cause for the correlation between different behaviors might lie in the neuroendocrine system. In this study, we examined the relationships between aggressiveness (a fish's readiness to perform gill display to its mirror image) and each of boldness (the readiness to emerge from a shelter), exploratory tendency (the readiness to approach a novel shelter), and learning performance (the probability of entering the correct reservoir in a T-maze test) in a mangrove rivulus, Kryptolebias marmoratus. We explored the possibility that the relationships between them arise because these behaviors are all modulated by cortisol and testosterone. We also tested the stability of the relationships between these behaviors shortly after using a winning or losing experience to alter individuals’ aggressiveness. The results were that aggressiveness correlated positively with boldness and the tendency to explore, and that these three behavioral traits were all positively correlated with pre-experience testosterone levels. Aggressiveness and boldness also positively correlated with pre-experience cortisol levels; exploratory tendency did not. The relationship between aggressiveness and boldness appeared to be stronger than that between either of them and exploratory tendency. These results suggest that testosterone and cortisol play important roles in mediating the correlations between these behavioral traits. Learning performance was not significantly correlated with the other behavioral traits or with levels of testosterone or cortisol. Recent experience in contests influenced individuals’ aggressiveness, tendency to explore, and learning performance but not their boldness; individuals that received a winning experience were quicker to display to their mirror image and performed better in the learning task but were slower to approach a novel object than were individuals that lost. Contest experience did not, however, significantly influence the relationships between aggressiveness and any of boldness, exploratory tendency, or learning performance. The results show that the individual components of a suite of correlated behaviors can preserve a flexibility to respond differently to environmental stimuli. PMID:22576819

The Medium is the Message: Pictures and Objects Evoke Distinct Conceptual Relations in Parent-Child Conversations

PubMed Central

Ware, Elizabeth A.; Gelman, Susan A.; Kleinberg, Felicia

2013-01-01

An important developmental task is learning to organize experience by forming conceptual relations among entities (e.g., a lion and a snake can be linked because both are animals; a lion and a cage can be linked because the lion lives in the cage). We propose that representational medium (i.e., pictures vs. objects) plays an important role in influencing which relations children consider. Prior work has demonstrated that pictures more readily evoke broader categories, whereas objects more readily call attention to specific individuals. We therefore predicted that pictures would encourage taxonomic and shared-property relations, whereas objects would encourage thematic and slot-filler relations. We observed 32 mother-child dyads (M child ages = 2.9 and 4.3) playing with pictures and objects, and identified utterances in which they made taxonomic, thematic, shared-property, or slot-filler links between items. The results confirmed our predictions and thus support representational medium as an important factor that influences the conceptual relations expressed during dyadic conversations. PMID:24273367

The Implementation of Medical Informatics in the National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM).

PubMed

Behrends, Marianne; Steffens, Sandra; Marschollek, Michael

2017-01-01

The National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM) describes medical skills and attitudes without being ordered by subjects or organs. Thus, the NKLM enables systematic curriculum mapping and supports curricular transparency. In this paper we describe where learning objectives related to Medical Informatics (MI) in Hannover coincide with other subjects and where they are taught exclusively in MI. An instance of the web-based MERLIN-database was used for the mapping process. In total 52 learning objectives overlapping with 38 other subjects could be allocated to MI. No overlap exists for six learning objectives describing explicitly topics of information technology or data management for scientific research. Most of the overlap was found for learning objectives relating to documentation and aspects of data privacy. The identification of numerous shared learning objectives with other subjects does not mean that other subjects teach the same content as MI. Identifying common learning objectives rather opens up the possibility for teaching cooperations which could lead to an important exchange and hopefully an improvement in medical education. Mapping of a whole medical curriculum offers the opportunity to identify common ground between MI and other medical subjects. Furthermore, in regard to MI, the interaction with other medical subjects can strengthen its role in medical education.

Set size, individuation, and attention to shape

PubMed Central

Cantrell, Lisa; Smith, Linda B.

2013-01-01

Much research has demonstrated a shape bias in categorizing and naming solid objects. This research has shown that when an entity is conceptualized as an individual object, adults and children attend to the object’s shape. Separate research in the domain of numerical cognition suggest that there are distinct processes for quantifying small and large sets of discrete items. This research shows that small set discrimination, comparison, and apprehension is often precise for 1–3 and sometimes 4 items; however, large numerosity representation is imprecise. Results from three experiments suggest a link between the processes for small and large number representation and the shape bias in a forced choice categorization task using naming and non-naming procedures. Experiment 1 showed that adults generalized a newly learned name for an object to new instances of the same shape only when those instances were presented in sets of less than 3 or 4. Experiment 2 showed that preschool children who were monolingual speakers of three different languages were also influenced by set size when categorizing objects in sets. Experiment 3 extended these results and showed the same effect in a non-naming task and when the novel noun was presented in a count-noun syntax frame. The results are discussed in terms of a relation between the precision of object representation and the precision of small and large number representation. PMID:23167969

Statistically Modeling Individual Students' Learning over Successive Collaborative Practice Opportunities

ERIC Educational Resources Information Center

Olsen, Jennifer; Aleven, Vincent; Rummel, Nikol

2017-01-01

Within educational data mining, many statistical models capture the learning of students working individually. However, not much work has been done to extend these statistical models of individual learning to a collaborative setting, despite the effectiveness of collaborative learning activities. We extend a widely used model (the additive factors…

Evolvable social agents for bacterial systems modeling.

PubMed

Paton, Ray; Gregory, Richard; Vlachos, Costas; Saunders, Jon; Wu, Henry

2004-09-01

We present two approaches to the individual-based modeling (IbM) of bacterial ecologies and evolution using computational tools. The IbM approach is introduced, and its important complementary role to biosystems modeling is discussed. A fine-grained model of bacterial evolution is then presented that is based on networks of interactivity between computational objects representing genes and proteins. This is followed by a coarser grained agent-based model, which is designed to explore the evolvability of adaptive behavioral strategies in artificial bacteria represented by learning classifier systems. The structure and implementation of the two proposed individual-based bacterial models are discussed, and some results from simulation experiments are presented, illustrating their adaptive properties.

Evolution of learning in fluctuating environments: when selection favors both social and exploratory individual learning.

PubMed

Borenstein, Elhanan; Feldman, Marcus W; Aoki, Kenichi

2008-03-01

Cumulative cultural change requires organisms that are capable of both exploratory individual learning and faithful social learning. In our model, an organism's phenotype is initially determined innately (by its genotypic value) or by social learning (copying a phenotype from the parental generation), and then may or may not be modified by individual learning (exploration around the initial phenotype). The environment alternates periodically between two states, each defined as a certain range of phenotypes that can survive. These states may overlap, in which case the same phenotype can survive in both states, or they may not. We find that a joint social and exploratory individual learning strategy-the strategy that supports cumulative culture-is likely to spread when the environmental states do not overlap. In particular, when the environmental states are contiguous and mutation is allowed among the genotypic values, this strategy will spread in either moderately or highly stable environments, depending on the exact nature of the individual learning applied. On the other hand, natural selection often favors a social learning strategy without exploration when the environmental states overlap. We find only partial support for the "consensus" view, which holds that individual learning, social learning, and innate determination of behavior will evolve at short, intermediate, and long environmental periodicities, respectively.

Social stress reactivity alters reward and punishment learning

PubMed Central

Frank, Michael J.; Allen, John J. B.

2011-01-01

To examine how stress affects cognitive functioning, individual differences in trait vulnerability (punishment sensitivity) and state reactivity (negative affect) to social evaluative threat were examined during concurrent reinforcement learning. Lower trait-level punishment sensitivity predicted better reward learning and poorer punishment learning; the opposite pattern was found in more punishment sensitive individuals. Increasing state-level negative affect was directly related to punishment learning accuracy in highly punishment sensitive individuals, but these measures were inversely related in less sensitive individuals. Combined electrophysiological measurement, performance accuracy and computational estimations of learning parameters suggest that trait and state vulnerability to stress alter cortico-striatal functioning during reinforcement learning, possibly mediated via medio-frontal cortical systems. PMID:20453038

Social stress reactivity alters reward and punishment learning.

PubMed

Cavanagh, James F; Frank, Michael J; Allen, John J B

2011-06-01

To examine how stress affects cognitive functioning, individual differences in trait vulnerability (punishment sensitivity) and state reactivity (negative affect) to social evaluative threat were examined during concurrent reinforcement learning. Lower trait-level punishment sensitivity predicted better reward learning and poorer punishment learning; the opposite pattern was found in more punishment sensitive individuals. Increasing state-level negative affect was directly related to punishment learning accuracy in highly punishment sensitive individuals, but these measures were inversely related in less sensitive individuals. Combined electrophysiological measurement, performance accuracy and computational estimations of learning parameters suggest that trait and state vulnerability to stress alter cortico-striatal functioning during reinforcement learning, possibly mediated via medio-frontal cortical systems.

Abnormal emotional learning in a rat model of autism exposed to valproic acid in utero

PubMed Central

Banerjee, Anwesha; Engineer, Crystal T.; Sauls, Bethany L.; Morales, Anna A.; Kilgard, Michael P.; Ploski, Jonathan E.

2014-01-01

Autism Spectrum Disorders (ASD) are complex neurodevelopmental disorders characterized by repetitive behavior and impaired social communication and interactions. Apart from these core symptoms, a significant number of ASD individuals display higher levels of anxiety and some ASD individuals exhibit impaired emotional learning. We therefore sought to further examine anxiety and emotional learning in an environmentally induced animal model of ASD that utilizes the administration of the known teratogen, valproic acid (VPA) during gestation. Specifically we exposed dams to one of two different doses of VPA (500 and 600 mg/kg) or vehicle on day 12.5 of gestation and examined the resultant progeny. Our data indicate that animals exposed to VPA in utero exhibit enhanced anxiety in the open field test and normal object recognition memory compared to control animals. Animals exposed to 500 mg/kg of VPA displayed normal acquisition of auditory fear conditioning, and exhibited reduced extinction of fear memory and normal litter survival rates as compared to control animals. We observed that animals exposed to 600 mg/kg of VPA exhibited a significant reduction in the acquisition of fear conditioning, a significant reduction in social interaction and a significant reduction in litter survival rates as compared to control animals. VPA (600 mg/kg) exposed animals exhibited similar shock sensitivity and hearing as compared to control animals indicating the fear conditioning deficit observed in these animals was not likely due to sensory deficits, but rather due to deficits in learning or memory retrieval. In conclusion, considering that progeny from dams exposed to rather similar doses of VPA exhibit striking differences in emotional learning, the VPA model may serve as a useful tool to explore the molecular and cellular mechanisms that contribute to not only ASD, but also emotional learning. PMID:25429264

Machine-Learning Algorithms to Code Public Health Spending Accounts.

PubMed

Brady, Eoghan S; Leider, Jonathon P; Resnick, Beth A; Alfonso, Y Natalia; Bishai, David

Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the performances of machine-learning algorithms with manual classification of public health expenditures to determine if machines could provide a faster, cheaper alternative to manual classification. We used machine-learning algorithms to replicate the process of manually classifying state public health expenditures, using the standardized public health spending categories from the Foundational Public Health Services model and a large data set from the US Census Bureau. We obtained a data set of 1.9 million individual expenditure items from 2000 to 2013. We collapsed these data into 147 280 summary expenditure records, and we followed a standardized method of manually classifying each expenditure record as public health, maybe public health, or not public health. We then trained 9 machine-learning algorithms to replicate the manual process. We calculated recall, precision, and coverage rates to measure the performance of individual and ensembled algorithms. Compared with manual classification, the machine-learning random forests algorithm produced 84% recall and 91% precision. With algorithm ensembling, we achieved our target criterion of 90% recall by using a consensus ensemble of ≥6 algorithms while still retaining 93% coverage, leaving only 7% of the summary expenditure records unclassified. Machine learning can be a time- and cost-saving tool for estimating public health spending in the United States. It can be used with standardized public health spending categories based on the Foundational Public Health Services model to help parse public health expenditure information from other types of health-related spending, provide data that are more comparable across public health organizations, and evaluate the impact of evidence-based public health resource allocation.

Teaching from Objects and Stories: Learning about the Bering Sea Eskimo People. Smithsonian in Your Classroom.

ERIC Educational Resources Information Center

Smigielski, Alan

The three lesson plans in this issue feature the Eskimos of the Bering Sea and their culture. The lesson plans are: (1) "Learning about a Culture from Its Objects"; (2) "Learning about a Culture from a Story"; and (3) "Everyday Objects." Each lesson cites student objectives; lists materials needed; gives subjects…

A neurocomputational account of taxonomic responding and fast mapping in early word learning.

PubMed

Mayor, Julien; Plunkett, Kim

2010-01-01

We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to the quality of prelexical, categorical representations in the model. We show how synaptogenesis supports coherent generalization of word-object associations and show that later synaptic pruning minimizes metabolic costs without being detrimental to word learning. The role played by joint-attentional activities is identified in the model, both at the level of selecting efficient cross-modal synapses and at the behavioral level, by accelerating and refining overall vocabulary acquisition. The model can account for the qualitative shift in the way infants use words, from an associative to a referential-like use, for the pattern of overextension errors in production and comprehension observed during early childhood and typicality effects observed in lexical development. Interesting by-products of the model include a potential explanation of the shift from prototype to exemplar-based effects reported for adult category formation, an account of mispronunciation effects in early lexical development, and extendability to include accounts of individual differences in lexical development and specific disorders such as Williams syndrome. The model demonstrates how an established constraint on lexical learning, which has often been regarded as domain-specific, can emerge from domain-general learning principles that are simultaneously biologically, psychologically, and socially plausible.

Rotation as a course: lessons learned from developing a hybrid online/on-ground approach to general surgical resident education.

PubMed

Maddaus, Michael A; Chipman, Jeffrey G; Whitson, Bryan A; Groth, Shawn S; Schmitz, Connie C

2008-01-01

To improve the consistency and the quality of resident education on clinical rotations, 5 surgical rotations (thoracic, bariatrics, surgical oncology, pediatrics, and critical care) were restructured "as courses" with learning objectives, educational activities (online and on-ground), pretests, posttests, and oral examinations. University surgical training program in a large metropolitan area, which serves approximately 65 residents per year. The online course management system, WebCT/VISTA (Blackboard Inc., Washington, DC), was used to build 5 online course sites. To engage and garner support from faculty, several organizational change tactics and resources were employed, such as Grand Rounds presentations, a faculty retreat, consultation and support from professional staff, and the use of residents as reviewers and codevelopers. To support resident use of the online sites, a designated education coordinator provided individual and group orientation sessions and employed weekly tracking and reminder systems; completion of pretests and posttests was mandated. Between 6 and 8 learning modules were created per rotation, with over 50 reading assignments (collectively) and 45 online presentations. Since July 2006, 53 residents have completed a total of 106 rotations on these services. Preliminary results from a longitudinal study suggest that the hybrid approach is well received and effective when fully executed, but that online course materials are used by residents only if they feel that the faculty members are truly engaged and actively promoting the site. Changing the culture of learning on rotation to include learning objectives, assessment, and integrated online/on-ground activities takes significant leadership, resident input, professional staff support, faculty engagement, and time.

Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model

PubMed Central

Guan, Li; Hao, Bibo; Cheng, Qijin; Yip, Paul SF

2015-01-01

Background Traditional offline assessment of suicide probability is time consuming and difficult in convincing at-risk individuals to participate. Identifying individuals with high suicide probability through online social media has an advantage in its efficiency and potential to reach out to hidden individuals, yet little research has been focused on this specific field. Objective The objective of this study was to apply two classification models, Simple Logistic Regression (SLR) and Random Forest (RF), to examine the feasibility and effectiveness of identifying high suicide possibility microblog users in China through profile and linguistic features extracted from Internet-based data. Methods There were nine hundred and nine Chinese microblog users that completed an Internet survey, and those scoring one SD above the mean of the total Suicide Probability Scale (SPS) score, as well as one SD above the mean in each of the four subscale scores in the participant sample were labeled as high-risk individuals, respectively. Profile and linguistic features were fed into two machine learning algorithms (SLR and RF) to train the model that aims to identify high-risk individuals in general suicide probability and in its four dimensions. Models were trained and then tested by 5-fold cross validation; in which both training set and test set were generated under the stratified random sampling rule from the whole sample. There were three classic performance metrics (Precision, Recall, F1 measure) and a specifically defined metric “Screening Efficiency” that were adopted to evaluate model effectiveness. Results Classification performance was generally matched between SLR and RF. Given the best performance of the classification models, we were able to retrieve over 70% of the labeled high-risk individuals in overall suicide probability as well as in the four dimensions. Screening Efficiency of most models varied from 1/4 to 1/2. Precision of the models was generally below 30%. Conclusions Individuals in China with high suicide probability are recognizable by profile and text-based information from microblogs. Although there is still much space to improve the performance of classification models in the future, this study may shed light on preliminary screening of risky individuals via machine learning algorithms, which can work side-by-side with expert scrutiny to increase efficiency in large-scale-surveillance of suicide probability from online social media. PMID:26543921

Social learning solves the problem of narrow-peaked search landscapes: experimental evidence in humans.

PubMed

Acerbi, Alberto; Tennie, Claudio; Mesoudi, Alex

2016-09-01

The extensive use of social learning is considered a major reason for the ecological success of humans. Theoretical considerations, models and experiments have explored the evolutionary basis of social learning, showing the conditions under which learning from others is more adaptive than individual learning. Here we present an extension of a previous experimental set-up, in which individuals go on simulated 'hunts' and their success depends on the features of a 'virtual arrowhead' they design. Individuals can modify their arrowhead either by individual trial and error or by copying others. We study how, in a multimodal adaptive landscape, the smoothness of the peaks influences learning. We compare narrow peaks, in which solutions close to optima do not provide useful feedback to individuals, to wide peaks, where smooth landscapes allow an effective hill-climbing individual learning strategy. We show that individual learning is more difficult in narrow-peaked landscapes, but that social learners perform almost equally well in both narrow- and wide-peaked search spaces. There was a weak trend for more copying in the narrow than wide condition, although as in previous experiments social information was generally underutilized. Our results highlight the importance of tasks' design space when studying the adaptiveness of high-fidelity social learning.

Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning.

PubMed

Stark-Inbar, Alit; Raza, Meher; Taylor, Jordan A; Ivry, Richard B

2017-01-01

In standard taxonomies, motor skills are typically treated as representative of implicit or procedural memory. We examined two emblematic tasks of implicit motor learning, sensorimotor adaptation and sequence learning, asking whether individual differences in learning are correlated between these tasks, as well as how individual differences within each task are related to different performance variables. As a prerequisite, it was essential to establish the reliability of learning measures for each task. Participants were tested twice on a visuomotor adaptation task and on a sequence learning task, either the serial reaction time task or the alternating reaction time task. Learning was evident in all tasks at the group level and reliable at the individual level in visuomotor adaptation and the alternating reaction time task but not in the serial reaction time task. Performance variability was predictive of learning in both domains, yet the relationship was in the opposite direction for adaptation and sequence learning. For the former, faster learning was associated with lower variability, consistent with models of sensorimotor adaptation in which learning rates are sensitive to noise. For the latter, greater learning was associated with higher variability and slower reaction times, factors that may facilitate the spread of activation required to form predictive, sequential associations. Interestingly, learning measures of the different tasks were not correlated. Together, these results oppose a shared process for implicit learning in sensorimotor adaptation and sequence learning and provide insight into the factors that account for individual differences in learning within each task domain. We investigated individual differences in the ability to implicitly learn motor skills. As a prerequisite, we assessed whether individual differences were reliable across test sessions. We found that two commonly used tasks of implicit learning, visuomotor adaptation and the alternating serial reaction time task, exhibited good test-retest reliability in measures of learning and performance. However, the learning measures did not correlate between the two tasks, arguing against a shared process for implicit motor learning. Copyright © 2017 the American Physiological Society.

The New School-Based Learning (SBL) to Work-Based Learning (WBL) Transition Module: A Practical Implementation in the Technical and Vocational Education (TVE) System in Bahrain

NASA Astrophysics Data System (ADS)

Alseddiqi, M.; Mishra, R.; Pislaru, C.

2012-05-01

This paper diagnoses the implementation of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Bahrain Technical and Vocational Education (TVE) learning environment. The module was designed to incorporate an innovative education and training approach with a variety of learning activities that are included in various learning case studies. Each case study was based on with learning objectives coupled with desired learning outcomes. The TVE students should meet the desired outcomes after the completion of the learning activities and assessments. To help with the implementation phase of the new module, the authors developed guidelines for each case study. The guidelines incorporated learning activities to be delivered in an integrated learning environment. The skills to be transferred were related to cognitive, affective, and technical proficiencies. The guidelines included structured instructions to help students during the learning process. In addition, technology was introduced to improve learning effectiveness and flexibility. The guidelines include learning indicators for each learning activity and were based on their interrelation with competencies to be achieved with respect to modern industrial requirements. Each learning indicator was then correlated against the type of learning environment, teaching and learning styles, examples of mode of delivery, and assessment strategy. Also, the learning activities were supported by technological features such as discussion forums for social perception and engagement and immediate feedback exercises for self-motivation. Through the developed module, TVE teachers can effectively manage the teaching and learning process as well as the assessment strategy to satisfy students' individual requirements and enable them to meet workplace requirements.

MODeLeR: A Virtual Constructivist Learning Environment and Methodology for Object-Oriented Design

ERIC Educational Resources Information Center

Coffey, John W.; Koonce, Robert

2008-01-01

This article contains a description of the organization and method of use of an active learning environment named MODeLeR, (Multimedia Object Design Learning Resource), a tool designed to facilitate the learning of concepts pertaining to object modeling with the Unified Modeling Language (UML). MODeLeR was created to provide an authentic,…

Design Guide for Earth System Science Education: Common Student Learning Objectives and Special Pedagogical Approaches

NASA Astrophysics Data System (ADS)

Baker, D.

2006-12-01

As part of the NASA-supported undergraduate Earth System Science Education (ESSE) program, fifty-seven institutions have developed and implemented a wide range of Earth system science (ESS) courses, pedagogies, and evaluation tools. The Teaching, Learning, and Evaluation section of USRA's online ESSE Design Guide showcases these ESS learning environments. This Design Guide section also provides resources for faculty who wish to develop ESS courses. It addresses important course design issues including prior student knowledge and interests, student learning objectives, learning resources, pedagogical approaches, and assessments tied to student learning objectives. The ESSE Design Guide provides links to over 130 ESS course syllabi at introductory, senior, and graduate levels. ESS courses over the past 15 years exhibit common student learning objectives and unique pedagogical approaches. From analysis of ESS course syllabi, seven common student learning objectives emerged: 1) demonstrate systems thinking, 2) develop an ESS knowledge base, 3) apply ESS to the human dimension, 4) expand and apply analytical skills, 5) improve critical thinking skills, 6) build professional/career skills, and 7) acquire an enjoyment and appreciation for science. To meet these objectives, ESSE often requires different ways of teaching than in traditional scientific disciplines. This presentation will highlight some especially successful pedagogical approaches for creating positive and engaging ESS learning environments.

Abstract numerical discrimination learning in rats.

PubMed

Taniuchi, Tohru; Sugihara, Junko; Wakashima, Mariko; Kamijo, Makiko

2016-06-01

In this study, we examined rats' discrimination learning of the numerical ordering positions of objects. In Experiments 1 and 2, five out of seven rats successfully learned to respond to the third of six identical objects in a row and showed reliable transfer of this discrimination to novel stimuli after being trained with three different training stimuli. In Experiment 3, the three rats from Experiment 2 continued to be trained to respond to the third object in an object array, which included an odd object that needed to be excluded when identifying the target third object. All three rats acquired this selective-counting task of specific stimuli, and two rats showed reliable transfer of this selective-counting performance to test sets of novel stimuli. In Experiment 4, the three rats from Experiment 3 quickly learned to respond to the third stimulus in object rows consisting of either six identical or six different objects. These results offer strong evidence for abstract numerical discrimination learning in rats.

Impact of feature saliency on visual category learning.

PubMed

Hammer, Rubi

2015-01-01

People have to sort numerous objects into a large number of meaningful categories while operating in varying contexts. This requires identifying the visual features that best predict the 'essence' of objects (e.g., edibility), rather than categorizing objects based on the most salient features in a given context. To gain this capacity, visual category learning (VCL) relies on multiple cognitive processes. These may include unsupervised statistical learning, that requires observing multiple objects for learning the statistics of their features. Other learning processes enable incorporating different sources of supervisory information, alongside the visual features of the categorized objects, from which the categorical relations between few objects can be deduced. These deductions enable inferring that objects from the same category may differ from one another in some high-saliency feature dimensions, whereas lower-saliency feature dimensions can best differentiate objects from distinct categories. Here I illustrate how feature saliency affects VCL, by also discussing kinds of supervisory information enabling reflective categorization. Arguably, principles debated here are often being ignored in categorization studies.

Impact of feature saliency on visual category learning

PubMed Central

Hammer, Rubi

2015-01-01

People have to sort numerous objects into a large number of meaningful categories while operating in varying contexts. This requires identifying the visual features that best predict the ‘essence’ of objects (e.g., edibility), rather than categorizing objects based on the most salient features in a given context. To gain this capacity, visual category learning (VCL) relies on multiple cognitive processes. These may include unsupervised statistical learning, that requires observing multiple objects for learning the statistics of their features. Other learning processes enable incorporating different sources of supervisory information, alongside the visual features of the categorized objects, from which the categorical relations between few objects can be deduced. These deductions enable inferring that objects from the same category may differ from one another in some high-saliency feature dimensions, whereas lower-saliency feature dimensions can best differentiate objects from distinct categories. Here I illustrate how feature saliency affects VCL, by also discussing kinds of supervisory information enabling reflective categorization. Arguably, principles debated here are often being ignored in categorization studies. PMID:25954220

Similar verbal memory impairments in schizophrenia and healthy aging. Implications for understanding of neural mechanisms.

PubMed

Silver, Henry; Bilker, Warren B

2015-03-30

Memory is impaired in schizophrenia patients but it is not clear whether this is specific to the illness and whether different types of memory (verbal and nonverbal) or memories in different cognitive domains (executive, object recognition) are similarly affected. To study relationships between memory impairments and schizophrenia we compared memory functions in 77 schizophrenia patients, 58 elderly healthy individuals and 41 young healthy individuals. Tests included verbal associative and logical memory and memory in executive and object recognition domains. We compared relationships of memory functions to each other and to other cognitive functions including psychomotor speed and verbal and spatial working memory. Compared to the young healthy group, schizophrenia patients and elderly healthy individuals showed similar severe impairment in logical memory and in the ability to learn new associations (NAL), and similar but less severe impairment in spatial working memory and executive and object memory. Verbal working memory was significantly more impaired in schizophrenia patients than in the healthy elderly. Verbal episodic memory impairment in schizophrenia may share common mechanisms with similar impairment in healthy aging. Impairment in verbal working memory in contrast may reflect mechanisms specific to schizophrenia. Study of verbal explicit memory impairment tapped by the NAL index may advance understanding of abnormal hippocampus dependent mechanisms common to schizophrenia and aging. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Predicting MCI outcome with clinically available MRI and CSF biomarkers

PubMed Central

Heister, D.; Brewer, J.B.; Magda, S.; Blennow, K.

2011-01-01

Objective: To determine the ability of clinically available volumetric MRI (vMRI) and CSF biomarkers, alone or in combination with a quantitative learning measure, to predict conversion to Alzheimer disease (AD) in patients with mild cognitive impairment (MCI). Methods: We stratified 192 MCI participants into positive and negative risk groups on the basis of 1) degree of learning impairment on the Rey Auditory Verbal Learning Test; 2) medial temporal atrophy, quantified from Food and Drug Administration–approved software for automated vMRI analysis; and 3) CSF biomarker levels. We also stratified participants based on combinations of risk factors. We computed Cox proportional hazards models, controlling for age, to assess 3-year risk of converting to AD as a function of risk group and used Kaplan-Meier analyses to determine median survival times. Results: When risk factors were examined separately, individuals testing positive showed significantly higher risk of converting to AD than individuals testing negative (hazard ratios [HR] 1.8–4.1). The joint presence of any 2 risk factors substantially increased risk, with the combination of greater learning impairment and increased atrophy associated with highest risk (HR 29.0): 85% of patients with both risk factors converted to AD within 3 years, vs 5% of those with neither. The presence of medial temporal atrophy was associated with shortest median dementia-free survival (15 months). Conclusions: Incorporating quantitative assessment of learning ability along with vMRI or CSF biomarkers in the clinical workup of MCI can provide critical information on risk of imminent conversion to AD. PMID:21998317

Objectified body consciousness in relation to recovery from an eating disorder.

PubMed

Fitzsimmons-Craft, Ellen E; Bardone-Cone, Anna M; Kelly, Kathleen A

2011-12-01

In Western society, the feminine body has been positioned as an object to be looked at and sexually gazed upon; thus, females often learn to view themselves as objects to be observed (i.e., objectified body consciousness (OBC)). This study examined the relation between OBC and eating disorder recovery by comparing its components across non-eating disorder controls, fully recovered, partially recovered, and active eating disorder cases. Results revealed that non-eating disorder controls and fully recovered individuals had similarly low levels of two components of OBC, body surveillance and body shame. Partially recovered individuals looked more similar to those with an active eating disorder on these constructs. The third component of OBC, control beliefs, and a conceptually similar construct, weight/shape self-efficacy, did not differ across groups. Results provide support for the importance of measuring aspects of self-objectification, particularly body surveillance and body shame, across the course of an eating disorder. Copyright © 2011 Elsevier Ltd. All rights reserved.

An Investigation on Individual Students' Perceptions of Interest Utilizing a Blended Learning Approach

ERIC Educational Resources Information Center

Shroff, Ronnie H.; Vogel, Douglas R.

2010-01-01

Research has established that individual student interest has a positive effect on learning and academic achievement. However, little is known about the impact of a blended learning approach on individual student interest and whether combinations of online and face-to-face learning activities significantly enhance student interest. This paper…

Organizational Learning as an Analogy to Individual Learning? A Case of Augmented Interaction Intensity

ERIC Educational Resources Information Center

Döös, Marianne; Johansson, Peter; Wilhelmson, Lena

2015-01-01

This paper attempts to explore an analogy between individual and organizational learning within experiential learning theory (ELT). The focus is on both the possibility of identifying a learning subject that learns in action, and on the genesis process behind the learning of a suggested learning subject at organizational level. The exploration…

Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method.

PubMed

Wu, Lin; Wang, Yang; Pan, Shirui

2017-12-01

It is now well established that sparse representation models are working effectively for many visual recognition tasks, and have pushed forward the success of dictionary learning therein. Recent studies over dictionary learning focus on learning discriminative atoms instead of purely reconstructive ones. However, the existence of intraclass diversities (i.e., data objects within the same category but exhibit large visual dissimilarities), and interclass similarities (i.e., data objects from distinct classes but share much visual similarities), makes it challenging to learn effective recognition models. To this end, a large number of labeled data objects are required to learn models which can effectively characterize these subtle differences. However, labeled data objects are always limited to access, committing it difficult to learn a monolithic dictionary that can be discriminative enough. To address the above limitations, in this paper, we propose a weakly-supervised dictionary learning method to automatically learn a discriminative dictionary by fully exploiting visual attribute correlations rather than label priors. In particular, the intrinsic attribute correlations are deployed as a critical cue to guide the process of object categorization, and then a set of subdictionaries are jointly learned with respect to each category. The resulting dictionary is highly discriminative and leads to intraclass diversity aware sparse representations. Extensive experiments on image classification and object recognition are conducted to show the effectiveness of our approach.

Promotion of Self-directed Learning Using Virtual Patient Cases

PubMed Central

Schonder, Kristine; McGee, James

2013-01-01

Objective. To assess the effectiveness of virtual patient cases to promote self-directed learning (SDL) in a required advanced therapeutics course. Design. Virtual patient software based on a branched-narrative decision-making model was used to create complex patient case simulations to replace lecture-based instruction. Within each simulation, students used SDL principles to learn course objectives, apply their knowledge through clinical recommendations, and assess their progress through patient outcomes and faculty feedback linked to their individual decisions. Group discussions followed each virtual patient case to provide further interpretation, clarification, and clinical perspective. Assessments. Students found the simulated patient cases to be organized (90%), enjoyable (82%), intellectually challenging (97%), and valuable to their understanding of course content (91%). Students further indicated that completion of the virtual patient cases prior to class permitted better use of class time (78%) and promoted SDL (84%). When assessment questions regarding material on postoperative nausea and vomiting were compared, no difference in scores were found between the students who attended the lecture on the material in 2011 (control group) and those who completed the virtual patient case on the material in 2012 (intervention group). Conclusion. Completion of virtual patient cases, designed to replace lectures and promote SDL, was overwhelmingly supported by students and proved to be as effective as traditional teaching methods. PMID:24052654

Evaluating the Cognition, Behavior, and Social Profile of an Adolescent With Learning Disabilities and Assessing the Effectiveness of an Individualized Educational Program

PubMed Central

Tabitha Louis, Preeti; Arnold Emerson, Isaac

2014-01-01

Objective: The present study seeks to outline a holistic assessment method that was used in understanding problems experienced by an adolescent boy and in designing and implementing an individualized educational program. Methods: An adolescent child referred for concerns in learning was screened for learning disability using standardized inventories and test batteries. The Connors Parent and Teacher Rating Scales (short forms), Wechsler's Intelligence Scale for Children (WISC), the Vineland Social Maturity Scale (VSMS), and the Kinetic Family Drawing (KFD) test were used to assess the behavior, cognition, and social profile of the child. An individualized educational program was designed and this intervention was provided for 6 months by using parents as co-therapists. Participant and parent interview schedules were used in identifying underlying issues of concern. The child was reassessed 6 months after the intervention was provided. Results: Findings on the Connors Parent Rating Scale revealed scores that were greater than the 50th percentile on the domains of inattention and cognitive problems. On the Connors Teacher Rating Scale, we observed scores greater than the 50th percentile on the hyperactivity, cognitive problems, and the inattention domains. The WISC revealed that the child had a "Dull Normal" Intellectual functioning and there was also a deficit of 2 years on the social skills as tested by the Vineland Social Maturity Scale (VSMS). The Kinetic Family Drawing Test revealed negative emotions within the child. Post intervention, we noticed a remarkable improvement in the scores across all domains of behavior, social, and cognitive functioning. Conclusion: Designing an individualized education program that is tailored to the specific needs of the child and using parents as co-therapists proved to be an effective intervention. PMID:25053954

An Object Oriented Approach to Improve the Precision of Learning Object Retrieval in a Self Learning Environment

ERIC Educational Resources Information Center

Raghuveer, V. R.; Tripathy, B. K.

2012-01-01

With the advancements in the WWW and ICT, the e-learning domain has developed very fast. Even many educational institutions these days have shifted their focus towards the e-learning and mobile learning environments. However, from the quality of learning point of view, which is measured in terms of "active learning" taking place, the…

Forum for Organisational Learning: Combining Learning at Work, Organisational Learning and Training in New Ways.

ERIC Educational Resources Information Center

Simons, P. R. J.; Germans, J.; Ruijters, M.

2003-01-01

The Forum for Organisational Learning is designed to bridge gaps among individual, group/team, and organizational learning. Organizational representatives form communities of learning; their core content involves five paradoxes: top-down and bottom-up approaches, working and learning, individual and organizational goals, structure and empowerment…

2012 National Strategy for Suicide Prevention: Goals and Objectives for Action. A Report of the U.S. Surgeon General and of the National Action Alliance for Suicide Prevention

ERIC Educational Resources Information Center

Substance Abuse and Mental Health Services Administration, 2012

2012-01-01

Suicide is a serious public health problem that causes immeasurable pain, suffering, and loss to individuals, families, and communities nationwide. Many people may be surprised to learn that suicide was one of the top 10 causes of death in the United States in 2009. And death is only the tip of the iceberg. For every person who dies by suicide,…

[Virtual reality simulation training in gynecology: review and perspectives].

PubMed

Ricard-Gauthier, Dominique; Popescu, Silvia; Benmohamed, Naida; Petignat, Patrick; Dubuisson, Jean

2016-10-26

Laparoscopic simulation has rapidly become an important tool for learning and acquiring technical skills in surgery. It is based on two different complementary pedagogic tools : the box model trainer and the virtual reality simulator. The virtual reality simulator has shown its efficiency by improving surgical skills, decreasing operating time, improving economy of movements and improving self-confidence. The main objective of this tool is the opportunity to easily organize a regular, structured and uniformed training program enabling an automated individualized feedback.

Objective Prediction of Hearing Aid Benefit Across Listener Groups Using Machine Learning: Speech Recognition Performance With Binaural Noise-Reduction Algorithms.

PubMed

Schädler, Marc R; Warzybok, Anna; Kollmeier, Birger

2018-01-01

The simulation framework for auditory discrimination experiments (FADE) was adopted and validated to predict the individual speech-in-noise recognition performance of listeners with normal and impaired hearing with and without a given hearing-aid algorithm. FADE uses a simple automatic speech recognizer (ASR) to estimate the lowest achievable speech reception thresholds (SRTs) from simulated speech recognition experiments in an objective way, independent from any empirical reference data. Empirical data from the literature were used to evaluate the model in terms of predicted SRTs and benefits in SRT with the German matrix sentence recognition test when using eight single- and multichannel binaural noise-reduction algorithms. To allow individual predictions of SRTs in binaural conditions, the model was extended with a simple better ear approach and individualized by taking audiograms into account. In a realistic binaural cafeteria condition, FADE explained about 90% of the variance of the empirical SRTs for a group of normal-hearing listeners and predicted the corresponding benefits with a root-mean-square prediction error of 0.6 dB. This highlights the potential of the approach for the objective assessment of benefits in SRT without prior knowledge about the empirical data. The predictions for the group of listeners with impaired hearing explained 75% of the empirical variance, while the individual predictions explained less than 25%. Possibly, additional individual factors should be considered for more accurate predictions with impaired hearing. A competing talker condition clearly showed one limitation of current ASR technology, as the empirical performance with SRTs lower than -20 dB could not be predicted.

Objective Prediction of Hearing Aid Benefit Across Listener Groups Using Machine Learning: Speech Recognition Performance With Binaural Noise-Reduction Algorithms

PubMed Central

Schädler, Marc R.; Warzybok, Anna; Kollmeier, Birger

2018-01-01

The simulation framework for auditory discrimination experiments (FADE) was adopted and validated to predict the individual speech-in-noise recognition performance of listeners with normal and impaired hearing with and without a given hearing-aid algorithm. FADE uses a simple automatic speech recognizer (ASR) to estimate the lowest achievable speech reception thresholds (SRTs) from simulated speech recognition experiments in an objective way, independent from any empirical reference data. Empirical data from the literature were used to evaluate the model in terms of predicted SRTs and benefits in SRT with the German matrix sentence recognition test when using eight single- and multichannel binaural noise-reduction algorithms. To allow individual predictions of SRTs in binaural conditions, the model was extended with a simple better ear approach and individualized by taking audiograms into account. In a realistic binaural cafeteria condition, FADE explained about 90% of the variance of the empirical SRTs for a group of normal-hearing listeners and predicted the corresponding benefits with a root-mean-square prediction error of 0.6 dB. This highlights the potential of the approach for the objective assessment of benefits in SRT without prior knowledge about the empirical data. The predictions for the group of listeners with impaired hearing explained 75% of the empirical variance, while the individual predictions explained less than 25%. Possibly, additional individual factors should be considered for more accurate predictions with impaired hearing. A competing talker condition clearly showed one limitation of current ASR technology, as the empirical performance with SRTs lower than −20 dB could not be predicted. PMID:29692200

Screening for Dyslexia Using Eye Tracking during Reading.

PubMed

Nilsson Benfatto, Mattias; Öqvist Seimyr, Gustaf; Ygge, Jan; Pansell, Tony; Rydberg, Agneta; Jacobson, Christer

2016-01-01

Dyslexia is a neurodevelopmental reading disability estimated to affect 5-10% of the population. While there is yet no full understanding of the cause of dyslexia, or agreement on its precise definition, it is certain that many individuals suffer persistent problems in learning to read for no apparent reason. Although it is generally agreed that early intervention is the best form of support for children with dyslexia, there is still a lack of efficient and objective means to help identify those at risk during the early years of school. Here we show that it is possible to identify 9-10 year old individuals at risk of persistent reading difficulties by using eye tracking during reading to probe the processes that underlie reading ability. In contrast to current screening methods, which rely on oral or written tests, eye tracking does not depend on the subject to produce some overt verbal response and thus provides a natural means to objectively assess the reading process as it unfolds in real-time. Our study is based on a sample of 97 high-risk subjects with early identified word decoding difficulties and a control group of 88 low-risk subjects. These subjects were selected from a larger population of 2165 school children attending second grade. Using predictive modeling and statistical resampling techniques, we develop classification models from eye tracking records less than one minute in duration and show that the models are able to differentiate high-risk subjects from low-risk subjects with high accuracy. Although dyslexia is fundamentally a language-based learning disability, our results suggest that eye movements in reading can be highly predictive of individual reading ability and that eye tracking can be an efficient means to identify children at risk of long-term reading difficulties.

The Development of the Virtual Learning Media of the Sacred Object Artwork

ERIC Educational Resources Information Center

Nuanmeesri, Sumitra; Jamornmongkolpilai, Saran

2018-01-01

This research aimed to develop the virtual learning media of the sacred object artwork by applying the concept of the virtual technology in order to publicize knowledge on the cultural wisdom of the sacred object artwork. It was done by designing and developing the virtual learning media of the sacred object artwork for the virtual presentation.…

Proposal of a Framework for Internet Based Licensing of Learning Objects

ERIC Educational Resources Information Center

Santos, Osvaldo A.; Ramos, Fernando M. S.

2004-01-01

This paper presents a proposal of a framework whose main objective is to manage the delivery and rendering of learning objects in a digital rights controlled environment. The framework is based on a digital licensing scheme that requires each learning object to have the proper license in order to be rendered by a trusted player. A conceptual model…

Challenges in Developing XML-Based Learning Repositories

NASA Astrophysics Data System (ADS)

Auksztol, Jerzy; Przechlewski, Tomasz

There is no doubt that modular design has many advantages, including the most important ones: reusability and cost-effectiveness. In an e-leaming community parlance the modules are determined as Learning Objects (LOs) [11]. An increasing amount of learning objects have been created and published online, several standards has been established and multiple repositories developed for them. For example Cisco Systems, Inc., "recognizes a need to move from creating and delivering large inflexible training courses, to database-driven objects that can be reused, searched, and modified independent of their delivery media" [6]. The learning object paradigm of education resources authoring is promoted mainly to reduce the cost of the content development and to increase its quality. A frequently used metaphor of Learning Objects paradigm compares them to Lego Logs or objects in Object-Oriented program design [25]. However a metaphor is only an abstract idea, which should be turned to something more concrete to be usable. The problem is that many papers on LOs end up solely in metaphors. In our opinion Lego or OO metaphors are gross oversimplificatation of the problem as there is much easier to develop Lego set or design objects in OO program than develop truly interoperable, context-free learning content1.

The Delphi Technique in Identifying Learning Objectives for the Development of Science, Technology and Society Modules for Palestinian Ninth Grade Science Curriculum

NASA Astrophysics Data System (ADS)

Abualrob, Marwan M. A.; Gnanamalar Sarojini Daniel, Esther

2013-10-01

This article outlines how learning objectives based upon science, technology and society (STS) elements for Palestinian ninth grade science textbooks were identified, which was part of a bigger study to establish an STS foundation in the ninth grade science curriculum in Palestine. First, an initial list of STS elements was determined. Second, using this list, ninth grade science textbooks and curriculum document contents were analyzed. Third, based on this content analysis, a possible list of 71 learning objectives for the integration of STS elements was prepared. This list of learning objectives was refined by using a two-round Delphi technique. The Delphi study was used to rate and to determine the consensus regarding which items (i.e. learning objectives for STS in the ninth grade science textbooks in Palestine) are to be accepted for inclusion. The results revealed that of the initial 71 objectives in round one, 59 objectives within round two had a mean score of 5.683 or higher, which indicated that the learning objectives could be included in the development of STS modules for ninth grade science in Palestine.

The impact of the learning contract on self-directed learning and satisfaction in nursing students in a clinical setting.

PubMed

Sajadi, Mahboobeh; Fayazi, Neda; Fournier, Andrew; Abedi, Ahmad Reza

2017-01-01

Background: The most important responsibilities of an education system are to create self-directed learning opportunities and develop the required skills for taking the responsibility for change. The present study aimed at determining the impact of a learning contract on self-directed learning and satisfaction of nursing students. Methods: A total of 59 nursing students participated in this experimental study. They were divided into six 10-member groups. To control the communications among the groups, the first 3 groups were trained using conventional learning methods and the second 3 groups using learning contract method. In the first session, a pretest was performed based on educational objectives. At the end of the training, the students in each group completed the questionnaires of self-directed learning and satisfaction. The results of descriptive and inferential statistical methods (dependent and independent t tests) were presented using SPSS. Results: There were no significant differences between the 2 groups in gender, grade point average of previous years, and interest toward nursing. However, the results revealed a significant difference between the 2 groups in the total score of self-directed learning (p= 0.019). Although the mean satisfaction score was higher in the intervention group, the difference was not statistically significant. Conclusion: This study suggested that the use of learning contract method in clinical settings enhances self-directed learning among nursing students. Because this model focuses on individual differences, the researcher highly recommends the application of this new method to educators.

Conditional responding is impaired in chronic alcoholics.

PubMed

Hildebrandt, Helmut; Brokate, B; Hoffmann, E; Kröger, B; Eling, P

2006-07-01

Bechara (2003) describes a model for disturbances in executive functions related to addiction. This model involves deficits in decision-making and in suppressing pre-potent representations or response patterns. We tested this model in 29 individuals with long-term heavy alcohol dependency and compared their performance with that of 20 control subjects. Only individuals without memory impairment, with normal intelligence and normal visual response times were included. We examined word fluency, object alternation, spatial stimulus-response incompatibility, extra-dimensional shift learning and decision-making using the Gambling task. We subtracted the performance in a control condition from that of the executive condition, in order to focus specifically on the executive component of each task. Only the object alternation and incompatibility tasks revealed significant differences between the group of alcoholics and the control group. Moreover, response times in the object alternation task correlated with duration of alcohol dependency. The results do not argue in favor of a specific deficit in decision-making or in shifting between relevant representations. We conclude that long-term alcohol abuse leads to an impairment in conditional responding, provided the response depends on former reactions or the inhibition of pre-potent response patterns.