43 CFR 26.3 - Program purpose and objectives.

Code of Federal Regulations, 2012 CFR

2012-10-01

... sufficient size (not less than 10 enrollees) that will permit social interaction and group learning. The...- through 18-year-old males and females from all social, economic, and racial backgrounds. (3) Develop an... lasting cultural bridges between youth from various social, ethnic, racial and economic backgrounds. (c...

43 CFR 26.3 - Program purpose and objectives.

Code of Federal Regulations, 2010 CFR

2010-10-01

... sufficient size (not less than 10 enrollees) that will permit social interaction and group learning. The...- through 18-year-old males and females from all social, economic, and racial backgrounds. (3) Develop an... lasting cultural bridges between youth from various social, ethnic, racial and economic backgrounds. (c...

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

Catheter tracking via online learning for dynamic motion compensation in transcatheter aortic valve implantation.

PubMed

Wang, Peng; Zheng, Yefeng; John, Matthias; Comaniciu, Dorin

2012-01-01

Dynamic overlay of 3D models onto 2D X-ray images has important applications in image guided interventions. In this paper, we present a novel catheter tracking for motion compensation in the Transcatheter Aortic Valve Implantation (TAVI). To address such challenges as catheter shape and appearance changes, occlusions, and distractions from cluttered backgrounds, we present an adaptive linear discriminant learning method to build a measurement model online to distinguish catheters from background. An analytic solution is developed to effectively and efficiently update the discriminant model and to minimize the classification errors between the tracking object and backgrounds. The online learned discriminant model is further combined with an offline learned detector and robust template matching in a Bayesian tracking framework. Quantitative evaluations demonstrate the advantages of this method over current state-of-the-art tracking methods in tracking catheters for clinical applications.

HRD and Learning Organisations in Europe. Routledge Studies in Human Resource Development.

ERIC Educational Resources Information Center

Tjepkema, Saskia, Ed.; Stewart, Jim, Ed.; Sambrook, Sally, Ed.; Mulder, Martin, Ed.; ter Horst, Hilde, Ed.; Scheerens, Jaap, Ed.

This book presents results of a European study into the changing role of human resource development (HRD). Chapter 1, "Introduction," describes the background, objectives, research questions, and underlying research project. Chapter 2, "Learning Organizations and HRD" (Saskia Tjepkema, Hilde ter Horst, Martin Mulder), discusses…

Cross-Cultural Communication Workshops: Experiential Learning for Living in a Multicultural Society.

ERIC Educational Resources Information Center

Armour, Monica

1979-01-01

The primary objectives of Cross-Cultural Communication Workshop (CCCW) groups are to increase awareness among participants of the role their cultural backgrounds play in influencing their values, perceptions, and behavior and to help them learn more effective ways of communicating with each other. (Author/EB)

Incidental learning speeds visual search by lowering response thresholds, not by improving efficiency: evidence from eye movements.

PubMed

Hout, Michael C; Goldinger, Stephen D

2012-02-01

When observers search for a target object, they incidentally learn the identities and locations of "background" objects in the same display. This learning can facilitate search performance, eliciting faster reaction times for repeated displays. Despite these findings, visual search has been successfully modeled using architectures that maintain no history of attentional deployments; they are amnesic (e.g., Guided Search Theory). In the current study, we asked two questions: 1) under what conditions does such incidental learning occur? And 2) what does viewing behavior reveal about the efficiency of attentional deployments over time? In two experiments, we tracked eye movements during repeated visual search, and we tested incidental memory for repeated nontarget objects. Across conditions, the consistency of search sets and spatial layouts were manipulated to assess their respective contributions to learning. Using viewing behavior, we contrasted three potential accounts for faster searching with experience. The results indicate that learning does not result in faster object identification or greater search efficiency. Instead, familiar search arrays appear to allow faster resolution of search decisions, whether targets are present or absent.

On Practising in Physical Education: Outline for a Pedagogical Model

ERIC Educational Resources Information Center

Aggerholm, K.; Standal, O.; Barker, D. M.; Larsson, H.

2018-01-01

Background: Models-based approaches to physical education have in recent years developed as a way for teachers and students to concentrate on a manageable number of learning objectives, and align pedagogical approaches with learning subject matter and context. This paper draws on Hannah Arendt's account of "vita activa" to map existing…

Portfolio as a Means of Promoting Autonomous Learning in Teacher Education: A Quasi-Experimental Study

ERIC Educational Resources Information Center

Meeus, Wil; Van Petegem, Peter; Meijer, Joost

2008-01-01

Background: The predominant dissertation model used in teacher education courses in Flanders is the "literature study with practical processing". Despite the practical supplement, this traditional model does not fit sufficiently well with autonomous learning as the objective of modern teacher education dissertations. This study reports on the…

Human Resource Building--An Approach to Service Learning

ERIC Educational Resources Information Center

Rajan, Sonika

2009-01-01

Background: Isabella Thoburn College at Lucknow, Uttar Pradesh, India has initiated Service Learning Program for its students through 4 issue based centers. One of the centers AIDS Awareness Center for Counseling, Education, and Training (AACCET) is in the field of HIV/AIDS. It follows 6 pronged approach to achieve its objectives and one of the…

Are Approaches to Learning in Kindergarten Associated with Academic and Social Competence Similarly?

ERIC Educational Resources Information Center

Razza, Rachel A.; Martin, Anne; Brooks-Gunn, Jeanne

2015-01-01

Background: Approaches to learning (ATL) is a key domain of school readiness with important implications for children's academic trajectories. Interestingly, however, the impact of early ATL on children's social competence has not been examined. Objective: This study examines associations between children's ATL at age 5 and academic achievement…

Spoken word recognition by Latino children learning Spanish as their first language*

PubMed Central

HURTADO, NEREYDA; MARCHMAN, VIRGINIA A.; FERNALD, ANNE

2010-01-01

Research on the development of efficiency in spoken language understanding has focused largely on middle-class children learning English. Here we extend this research to Spanish-learning children (n=49; M=2;0; range=1;3–3;1) living in the USA in Latino families from primarily low socioeconomic backgrounds. Children looked at pictures of familiar objects while listening to speech naming one of the objects. Analyses of eye movements revealed developmental increases in the efficiency of speech processing. Older children and children with larger vocabularies were more efficient at processing spoken language as it unfolds in real time, as previously documented with English learners. Children whose mothers had less education tended to be slower and less accurate than children of comparable age and vocabulary size whose mothers had more schooling, consistent with previous findings of slower rates of language learning in children from disadvantaged backgrounds. These results add to the cross-linguistic literature on the development of spoken word recognition and to the study of the impact of socioeconomic status (SES) factors on early language development. PMID:17542157

Discriminative object tracking via sparse representation and online dictionary learning.

PubMed

Xie, Yuan; Zhang, Wensheng; Li, Cuihua; Lin, Shuyang; Qu, Yanyun; Zhang, Yinghua

2014-04-01

We propose a robust tracking algorithm based on local sparse coding with discriminative dictionary learning and new keypoint matching schema. This algorithm consists of two parts: the local sparse coding with online updated discriminative dictionary for tracking (SOD part), and the keypoint matching refinement for enhancing the tracking performance (KP part). In the SOD part, the local image patches of the target object and background are represented by their sparse codes using an over-complete discriminative dictionary. Such discriminative dictionary, which encodes the information of both the foreground and the background, may provide more discriminative power. Furthermore, in order to adapt the dictionary to the variation of the foreground and background during the tracking, an online learning method is employed to update the dictionary. The KP part utilizes refined keypoint matching schema to improve the performance of the SOD. With the help of sparse representation and online updated discriminative dictionary, the KP part are more robust than the traditional method to reject the incorrect matches and eliminate the outliers. The proposed method is embedded into a Bayesian inference framework for visual tracking. Experimental results on several challenging video sequences demonstrate the effectiveness and robustness of our approach.

Visual object tracking by correlation filters and online learning

NASA Astrophysics Data System (ADS)

Zhang, Xin; Xia, Gui-Song; Lu, Qikai; Shen, Weiming; Zhang, Liangpei

2018-06-01

Due to the complexity of background scenarios and the variation of target appearance, it is difficult to achieve high accuracy and fast speed for object tracking. Currently, correlation filters based trackers (CFTs) show promising performance in object tracking. The CFTs estimate the target's position by correlation filters with different kinds of features. However, most of CFTs can hardly re-detect the target in the case of long-term tracking drifts. In this paper, a feature integration object tracker named correlation filters and online learning (CFOL) is proposed. CFOL estimates the target's position and its corresponding correlation score using the same discriminative correlation filter with multi-features. To reduce tracking drifts, a new sampling and updating strategy for online learning is proposed. Experiments conducted on 51 image sequences demonstrate that the proposed algorithm is superior to the state-of-the-art approaches.

A model of blended learning in a preclinical course in prosthetic dentistry.

PubMed

Reissmann, Daniel R; Sierwald, Ira; Berger, Florian; Heydecke, Guido

2015-02-01

The aim of this study was to evaluate the use of blending learning that added online tools to traditional learning methods in a preclinical course in prosthetic dentistry at one dental school in Germany. The e-learning modules were comprised of three main components: fundamental principles, additional information, and learning objective tests. Video recordings of practical demonstrations were prepared and cut into sequences meant to achieve single learning goals. The films were accompanied by background information and, after digital processing, were made available online. Additionally, learning objective tests and learning contents were integrated. Evaluations of 71 of 89 students (response rate: 80%) in the course with the integrated e-learning content were available for the study. Compared with evaluation results of the previous years, a substantial and statistically significant increase in satisfaction with learning content (from 30% and 34% to 86%, p<0.001) and learning effect (from 65% and 63% to 83%, p<0.05) was observed. Satisfaction ratings stayed on a high level in three subsequent courses with the modules. Qualitative evaluation revealed mostly positive responses, with not a single negative comment regarding the blended learning concept. The results showed that the e-learning tool was appreciated by the students and suggest that learning objective tests can be successfully implemented in blended learning.

Alternative Approaches for Educating Future Global Marketing Professionals: A Comparison of Foreign Study and Research-Intensive Marketing Programs

ERIC Educational Resources Information Center

Kaufman, Peter A.; Melton, Horace L.; Varner, Iris I.; Hoelscher, Mark; Schmidt, Klaus; Spaulding, Aslihan D.

2011-01-01

Using an experiential learning model as a conceptual background, this article discusses characteristics and learning objectives for well-known foreign study programs such as study tours, study abroad, and internships and compares them with a less common overseas program called the "Global Marketing Program" (GMP). GMP involves…

Interaction of Students' Academic Background and Support Levels in a Resource-Based Learning Environment on Earth's Movement

ERIC Educational Resources Information Center

So, Wing Mui Winnie; Kong, Siu Cheung

2010-01-01

This research aims to study how a resource-based learning environment (RBLE) helps primary students develop better understanding of the Earth's movement. One objective of the study is to establish an RBLE by creating authentic contexts, selecting appropriate resources, designing relevant tools and adopting necessary scaffolds. The other objective…

Promoting School Readiness in the Context of Socio-Economic Adversity: Associations with Parental Demoralization and Support for Learning

ERIC Educational Resources Information Center

Okado, Yuko; Bierman, Karen L.; Welsh, Janet A.

2014-01-01

Background: Existing research suggests that parenting stress and demoralization, as well as provision of learning activities at home, significantly affect child school readiness. However, the degree to which these dimensions of parenting uniquely influence child school readiness remains unclear. Objective: This study tested the hypothesis that…

Evaluating Free-Choice Climate Education Interventions Applying Propensity Score Matching

ERIC Educational Resources Information Center

Gaus, Hansjoerg; Mueller, Christoph Emanuel

2011-01-01

Background and objectives. The majority of environmental education takes place in informal settings, of which so-called free-choice learning is typical. What is understood by this is a kind of learning which is self-determined and driven by the needs and interests of the learner. The voluntariness of participation in interventions and the fact…

Self-Regulation, Coregulation, and Socially Shared Regulation: Exploring Perspectives of Social in Self-Regulated Learning Theory

ERIC Educational Resources Information Center

Hadwin, Allyson; Oshige, Mika

2011-01-01

Background/Context: Models of self-regulated learning (SRL) have increasingly acknowledged aspects of social context influence in its process; however, great diversity exists in the theoretical positioning of "social" in these models. Purpose/Objective/Research Question/Focus of Study: The purpose of this review article is to introduce and…

"Cold Sassy Tree" and "Song of Solomon": Novels in the Composition Class.

ERIC Educational Resources Information Center

Bridges, Jean B.

Promoting lifelong reading is one objective of East Georgia College's English courses--all of them, even composition--because learning is a lifelong pursuit and to read is to continue to learn. This 2-year college's students range in age from 16-66 with varied interests but similar cultural backgrounds. Most come from non-reading, economically…

Identification and Comparison of Academic Self Regulatory Learning Strategy Use of Students Enrolled in Traditional and Accelerated Baccalaureate Degree Nursing Programs

ERIC Educational Resources Information Center

Mullen, Patricia A.

2009-01-01

Objective: To explore and compare the use of metacognitive, cognitive, and environmental resource management self regulatory learning (SRL) strategies used by a national sample of students enrolled in traditional and accelerated baccalaureate nursing programs. Background: Learner focused reforms in nursing education require students to assume more…

Pedagogical Background for Technology Education--Meaningful Learning in Theory and Practice

ERIC Educational Resources Information Center

Autio, Ossi

2009-01-01

One important theme in technology education is the growing need to develop the type of pedagogies that encourage pupils in authentic and meaningful learning experiences. Often, the teaching strategies of technology education are only a matter of teaching the handling of materials and tools, and the production of mere objects does not consider how…

A Comparative Study of the Effects of Cultural Differences on the Adoption of Mobile Learning

ERIC Educational Resources Information Center

Arpaci, Ibrahim

2015-01-01

The objective of this paper is to understand the impact of cultural differences on mobile learning adoption through identifying key adoption characteristics in Canada and Turkey, which have markedly different cultural backgrounds. A multi-group analysis was employed to test the hypothesised relationships based on the data collected by means of…

Action-Driven Visual Object Tracking With Deep Reinforcement Learning.

PubMed

Yun, Sangdoo; Choi, Jongwon; Yoo, Youngjoon; Yun, Kimin; Choi, Jin Young

2018-06-01

In this paper, we propose an efficient visual tracker, which directly captures a bounding box containing the target object in a video by means of sequential actions learned using deep neural networks. The proposed deep neural network to control tracking actions is pretrained using various training video sequences and fine-tuned during actual tracking for online adaptation to a change of target and background. The pretraining is done by utilizing deep reinforcement learning (RL) as well as supervised learning. The use of RL enables even partially labeled data to be successfully utilized for semisupervised learning. Through the evaluation of the object tracking benchmark data set, the proposed tracker is validated to achieve a competitive performance at three times the speed of existing deep network-based trackers. The fast version of the proposed method, which operates in real time on graphics processing unit, outperforms the state-of-the-art real-time trackers with an accuracy improvement of more than 8%.

['How strange is the patient to me?'

PubMed

Karger, André; Lindtner-Rudolph, Heide; Mroczynski, Robert; Ziem, Alexander; Joksimovic, Ljiljana

2017-09-01

'How strange is the patient to me?' Physicians' attitudes and expectations toward treating patients with a migration background Objectives: Undergraduate and postgraduate training in cultural competence remains a challenging issue. It might be useful to integrate culturally sensitive learning objectives in existing curricula. As part of a needs assessment, this qualitative study examined the prototypical experiences in clinical routines with patients with a migration background. Twenty physicians took part in half-structured narrative interviews, which were then analyzed by linguistic-ethnographic conversation analysis. The main reasons for difficulties in patient-physician relation proved to be language barriers. Assignments of professional interpreters were rated critically. Physicians attributed the responsibility for successful communication mainly to the patient. The physicians saw little need for training in cultural competence. The integration of learning objectives related to cultural sensibility in existing curricula would seem to be useful, especially because the physicians interviewed reported little need for additional training on their own. The importance of implied negative attitudes and stereotypes in creating a culturally sensitive approach should be taken into account.

The Way Ahead in Game-Based Learning

DTIC Science & Technology

2009-08-01

Mostly Hype…NOT science  Lack of guidelines Opportunity to exploit technology is tremendous! World of Warcraft Blizzard Games Civilization 4 2K Games...Second Life Linden Labs SimCity 4 EA Maxis 5 Background  Definitions: Game Serious game  Simulation vs Virtual World vs Game The Binary Game Cisco...learn in context by interacting with objects in a complex world .  Consistent with anchored, experiential learning, learners can make connections

Linking Student Achievement Growth to Professional Development Participation and Changes in Instruction: A Longitudinal Study of Elementary Students and Teachers in Title I Schools

ERIC Educational Resources Information Center

Desimone, Laura; Smith, Thomas M.; Phillips, Kristie J. R.

2013-01-01

Background/Context: Most reforms in elementary education rely on teacher learning and improved instruction to increase student learning. This study increases our understanding of which types of professional development effectively change teaching practice in ways that boost student achievement. Purpose/Objective/Research Question/Focus of Study:…

The Pedagogical Role of Language in Science Teaching and Learning in South Africa: A Review of Research 1990-2015

ERIC Educational Resources Information Center

Msimanga, Audrey; Denley, Paul; Gumede, Nhlakanipho

2017-01-01

One of the objectives of the South African science curriculum is to provide equal access to science for students from all backgrounds. However, this goal remains elusive as many students, particularly those from low socio-economic backgrounds, continue to perform poorly in science. One of the reasons for the persistent differential achievement in…

Online Object Tracking, Learning and Parsing with And-Or Graphs.

PubMed

Wu, Tianfu; Lu, Yang; Zhu, Song-Chun

2017-12-01

This paper presents a method, called AOGTracker, for simultaneously tracking, learning and parsing (TLP) of unknown objects in video sequences with a hierarchical and compositional And-Or graph (AOG) representation. The TLP method is formulated in the Bayesian framework with a spatial and a temporal dynamic programming (DP) algorithms inferring object bounding boxes on-the-fly. During online learning, the AOG is discriminatively learned using latent SVM [1] to account for appearance (e.g., lighting and partial occlusion) and structural (e.g., different poses and viewpoints) variations of a tracked object, as well as distractors (e.g., similar objects) in background. Three key issues in online inference and learning are addressed: (i) maintaining purity of positive and negative examples collected online, (ii) controling model complexity in latent structure learning, and (iii) identifying critical moments to re-learn the structure of AOG based on its intrackability. The intrackability measures uncertainty of an AOG based on its score maps in a frame. In experiments, our AOGTracker is tested on two popular tracking benchmarks with the same parameter setting: the TB-100/50/CVPR2013 benchmarks  , [3] , and the VOT benchmarks [4] -VOT 2013, 2014, 2015 and TIR2015 (thermal imagery tracking). In the former, our AOGTracker outperforms state-of-the-art tracking algorithms including two trackers based on deep convolutional network   [5] , [6] . In the latter, our AOGTracker outperforms all other trackers in VOT2013 and is comparable to the state-of-the-art methods in VOT2014, 2015 and TIR2015.

When Average Is Not Good Enough: Students With Learning Disabilities at Selective, Private Colleges.

PubMed

Weis, Robert; Erickson, Celeste P; Till, Christina H

Adolescents with learning disabilities disproportionately come from lower socioeconomic status backgrounds, show normative deficits in academic skills, and attend 2-year, public colleges instead of 4-year institutions. However, students with learning disabilities are well represented at the United States' most expensive and selective postsecondary institutions. We examined the psychoeducational functioning of students receiving accommodations for learning disabilities at a private, selective, liberal arts college. We also determined whether students had objective evidence supporting their disability diagnoses and academic accommodations. Most students showed above-average cognitive abilities, average academic skills, and no evidence of impairment. Although nearly all students reported academic problems, most lacked objective evidence of academic difficulties prior to college as well as relative or normative deficits in broad academic skills or fluency. Results indicate a need for greater reliance on objective, multimethod/multi-informant data in the diagnostic process. Results also highlight limitations in the current professional guidelines for documentation decision making in higher education.

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

Designing Inquiry Starters

NASA Astrophysics Data System (ADS)

Kluger-Bell, B.

2010-12-01

The term "Inquiry Starter" comes from the Institute for Inquiry's model for teaching and learning science through inquiry. It refers to the first phase of an inquiry activity where learners engage in actions that stimulate their curiosity and generate questions for further investigation. In the Professional Development Program, staff and participants have designed a wide variety of inquiry activities with a number of variations on the inquiry starter. This has provided a laboratory for examining inquiry starter design. In this paper, I describe and examine in detail the elements of this design and how the design of those elements is related to achieving learning objectives. There are a number of important common objectives in all inquiry starters. For example, all starters must define a domain for investigation and engage the learner's curiosity in that domain. There are also critical differences in learning objectives depending on the content area being studied, the learners' background knowledge and skills, and many other factors. In this paper I examine designs for both of these types of objectives.

A visual tracking method based on deep learning without online model updating

NASA Astrophysics Data System (ADS)

Tang, Cong; Wang, Yicheng; Feng, Yunsong; Zheng, Chao; Jin, Wei

2018-02-01

The paper proposes a visual tracking method based on deep learning without online model updating. In consideration of the advantages of deep learning in feature representation, deep model SSD (Single Shot Multibox Detector) is used as the object extractor in the tracking model. Simultaneously, the color histogram feature and HOG (Histogram of Oriented Gradient) feature are combined to select the tracking object. In the process of tracking, multi-scale object searching map is built to improve the detection performance of deep detection model and the tracking efficiency. In the experiment of eight respective tracking video sequences in the baseline dataset, compared with six state-of-the-art methods, the method in the paper has better robustness in the tracking challenging factors, such as deformation, scale variation, rotation variation, illumination variation, and background clutters, moreover, its general performance is better than other six tracking methods.

SWCD: a sliding window and self-regulated learning-based background updating method for change detection in videos

NASA Astrophysics Data System (ADS)

Işık, Şahin; Özkan, Kemal; Günal, Serkan; Gerek, Ömer Nezih

2018-03-01

Change detection with background subtraction process remains to be an unresolved issue and attracts research interest due to challenges encountered on static and dynamic scenes. The key challenge is about how to update dynamically changing backgrounds from frames with an adaptive and self-regulated feedback mechanism. In order to achieve this, we present an effective change detection algorithm for pixelwise changes. A sliding window approach combined with dynamic control of update parameters is introduced for updating background frames, which we called sliding window-based change detection. Comprehensive experiments on related test videos show that the integrated algorithm yields good objective and subjective performance by overcoming illumination variations, camera jitters, and intermittent object motions. It is argued that the obtained method makes a fair alternative in most types of foreground extraction scenarios; unlike case-specific methods, which normally fail for their nonconsidered scenarios.

The Solubility of Nickel Sulfate-6-Water: A General Chemistry Experiment.

ERIC Educational Resources Information Center

Pacer, Richard A.

1984-01-01

Background information, procedures used, and typical results are provided for a solubility experiment. Among the 12 objectives of the experiment are: acquiring understanding of the terms "saturated,""unsaturated," and "supersaturated;" learning meaning of the expression "to approach equilibrium;" gaining…

Cost Accounting, Business Education: 7709.41.

ERIC Educational Resources Information Center

Carino, Mariano G.

Cost accounting principles and procedures provide students with sufficient background to apply cost accounting factors to service and manufacturing businesses. Overhead, materials, goods in process, and finished goods are emphasized. Students complete a practice set in the course, which has guidelines, performance objectives, learning activities…

The Amistad Incident: A Classroom Reenactment.

ERIC Educational Resources Information Center

Levy, Tedd

1995-01-01

Presents a role-playing activity based on political and legal issues surrounding a mutiny on a Spanish slave ship that landed on U.S. soil in 1839. Includes learning objectives, background information, and role descriptions. Suggests student writing assignments and further research projects. (CFR)

Owl Pellets.

ERIC Educational Resources Information Center

Thompson, Craig D.

1987-01-01

Provides complete Project WILD lesson plans for 20-45-minute experiential science learning activity for grades 3-7 students. Describes how students construct a simple food chain through examination of owl pellets. Includes lesson objective, method, background information, materials, procedure, evaluation, and sources of owl pellets and posters.…

Ecology, Elementary Teaching Guide.

ERIC Educational Resources Information Center

Gross, Iva Helen

In an effort to provide background information and encourage incorporation of ecological understandings into the curriculum, this teacher's guide has been devised for fourth and fifth grade teachers. It utilizes an activity-oriented approach to discovery and inquiry, outlining behavioral objectives, learning activities, teaching suggestions, and…

Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

PubMed Central

2016-01-01

Background One of the leading causes of death in the United States (US) is suicide and new methods of assessment are needed to track its risk in real time. Objective Our objective is to validate the use of machine learning algorithms for Twitter data against empirically validated measures of suicidality in the US population. Methods Using a machine learning algorithm, the Twitter feeds of 135 Mechanical Turk (MTurk) participants were compared with validated, self-report measures of suicide risk. Results Our findings show that people who are at high suicidal risk can be easily differentiated from those who are not by machine learning algorithms, which accurately identify the clinically significant suicidal rate in 92% of cases (sensitivity: 53%, specificity: 97%, positive predictive value: 75%, negative predictive value: 93%). Conclusions Machine learning algorithms are efficient in differentiating people who are at a suicidal risk from those who are not. Evidence for suicidality can be measured in nonclinical populations using social media data. PMID:27185366

V-TECS Guide for Bookkeeping/Accounting/Payroll Clerk.

ERIC Educational Resources Information Center

Gregory, Margaret R.; Benson, Robert T.

This guide, an extension of the Vocational-Technical Education Consortium of States (V-TECS) catalog, includes such considerations as background information, decision-making skills, attitudes, and learning methods surrounding the occupations of bookkeeper/accountant/payroll clerk. The guide provides job-relevant task, performance objectives,…

Young Children Learn to Restructure Personal Ideas about Growth in Trees.

ERIC Educational Resources Information Center

Sunal, Dennis W.; Sunal, Cynthia S.

1991-01-01

Three activities in which students identify and demonstrate similarities and differences in plants and in plant growth are presented. The activities include background information, objectives for the tree ring activities, a list of needed materials, procedures, evaluation procedures, and a glossary. (KR)

Enhancing Adult Learning in Clinical Supervision

ERIC Educational Resources Information Center

Goldman, Stuart

2011-01-01

Objective/Background: For decades, across almost every training site, clinical supervision has been considered "central to the development of skills" in psychiatry. The crucial supervisor/supervisee relationship has been described extensively in the literature, most often framed as a clinical apprenticeship of the novice to the master craftsman.…

Performance Outcomes and Performance Standards for Selected Occupational Programs.

ERIC Educational Resources Information Center

Walker, Noojin, Ed.

Curricula, degree requirements, learning activities, and performance objectives are detailed for vocational programs in graphic arts, hotel and restaurant management, motorcycle repair, and registered nursing (RN) and practical nursing (PN) at Pensacola Junior College (PJC). Following background material describing a long-term project at PJC to…

Learning Clinical Procedures Through Internet Digital Objects: Experience of Undergraduate Students Across Clinical Faculties

PubMed Central

Li, Tse Yan; Wong, Kin; Tse, Christine Shuk Kwan; Chan, Ying Yee

2015-01-01

Background Various digital learning objects (DLOs) are available via the World Wide Web, showing the flow of clinical procedures. It is unclear to what extent these freely accessible Internet DLOs facilitate or hamper students’ acquisition of clinical competence. Objective This study aimed to understand the experience of undergraduate students across clinical disciplines—medicine, dentistry, and nursing—in using openly accessible Internet DLOs, and to investigate the role of Internet DLOs in facilitating their clinical learning. Methods Mid-year and final-year groups were selected from each undergraduate clinical degree program of the University of Hong Kong—Bachelor of Medicine and Bachelor of Surgery (MBBS), Bachelor of Dental Surgery (BDS), and Bachelor of Nursing (BNurs). All students were invited to complete a questionnaire on their personal and educational backgrounds, and their experiences and views on using Internet DLOs in learning clinical procedures. The questionnaire design was informed by the findings of six focus groups. Results Among 439 respondents, 97.5% (428/439) learned a variety of clinical procedures through Internet DLOs. Most nursing students (107/122, 87.7%) learned preventive measures through Internet DLOs, with a lower percentage of medical students (99/215, 46.0%) and dental students (43/96, 45%) having learned them this way (both P<.001). Three-quarters (341/439, 77.7%) of students accessed DLOs through public search engines, whereas 93.2% (409/439) accessed them by watching YouTube videos. Students often shared DLOs with classmates (277/435, 63.7%), but rarely discussed them with teachers (54/436, 12.4%). The accuracy, usefulness, and importance of Internet DLOs were rated as 6.85 (SD 1.48), 7.27 (SD 1.53), and 7.13 (SD 1.72), respectively, out of a high score of 10. Conclusions Self-exploration of DLOs in the unrestricted Internet environment is extremely common among current e-generation learners and was regarded by students across clinical faculties as an important supplement to their formal learning in the planned curriculum. This trend calls for a transformation of the educator’s role from dispensing knowledge to guidance and support. PMID:27731303

Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking.

PubMed

Hu, Weiming; Gao, Jin; Xing, Junliang; Zhang, Chao; Maybank, Stephen

2017-01-01

An appearance model adaptable to changes in object appearance is critical in visual object tracking. In this paper, we treat an image patch as a two-order tensor which preserves the original image structure. We design two graphs for characterizing the intrinsic local geometrical structure of the tensor samples of the object and the background. Graph embedding is used to reduce the dimensions of the tensors while preserving the structure of the graphs. Then, a discriminant embedding space is constructed. We prove two propositions for finding the transformation matrices which are used to map the original tensor samples to the tensor-based graph embedding space. In order to encode more discriminant information in the embedding space, we propose a transfer-learning- based semi-supervised strategy to iteratively adjust the embedding space into which discriminative information obtained from earlier times is transferred. We apply the proposed semi-supervised tensor-based graph embedding learning algorithm to visual tracking. The new tracking algorithm captures an object's appearance characteristics during tracking and uses a particle filter to estimate the optimal object state. Experimental results on the CVPR 2013 benchmark dataset demonstrate the effectiveness of the proposed tracking algorithm.

Should Athletic Training Educators Utilize Grades When Evaluating Student Clinical Performance?

ERIC Educational Resources Information Center

Scriber, Kent; Gray, Courtney; Millspaugh, Rose

2010-01-01

Objective: To explore and address some of the challenges for assessing, interpreting, and grading athletic training students' clinical performance and to suggest athletic training educators consider using a more universal assessment method for professional consistency. Background: In years past students learned from teachers or mentors on an…

Plant Hormones: How They Affect Root Formation.

ERIC Educational Resources Information Center

Reinhard, Diana Hereda

This science study aid, produced by the U.S. Department of Agriculture, includes a series of plant rooting activities for secondary science classes. The material in the pamphlet is written for students and includes background information on plant hormones, a vocabulary list, and five learning activities. Objectives, needed materials, and…

"In Our Voice": Lessons Learned from a Cardiovascular Disease Curriculum for American Indian Students

ERIC Educational Resources Information Center

Sprague, D.; Burgoyne, K.; Vallie, D. La; Buchwald, D.

2012-01-01

Background: American Indian children and adolescents are at risk for obesity, type 2 diabetes, hypertension, elevated cholesterol, and smoking, all of which are risk factors for cardiovascular disease. Objective: To address these health issues, we developed, implemented, and evaluated a culturally appropriate cardiovascular disease curriculum…

Engineering Technology Careers; Career Guidance Information for Engineering Technicians. Publication No. 1065.

ERIC Educational Resources Information Center

National Council of Technical Schools, Washington, DC.

Prepared by the National Council of Technical Schools, this reference may be used by prospective students , their parents, and counselors in learning the philosophy and objectives, historical background, and present status of technical schools and career opportunities as a technician. Career opportunities included are: (1) Aerospace/Aviation…

A Comprehensive Program for Handicapped Students at the Two-Year College.

ERIC Educational Resources Information Center

Hanson, Karen M.

A summary is presented of the objectives and activities of a grant-supported project conducted at Normandale Community College (NCC) to expand programming for handicapped and learning disabled students. Introductory material provides a background to NCC's efforts in aiding students with special needs. Next, the populations receiving assistance…

Computer-Aided Corrosion Program Management

NASA Technical Reports Server (NTRS)

MacDowell, Louis

2010-01-01

This viewgraph presentation reviews Computer-Aided Corrosion Program Management at John F. Kennedy Space Center. The contents include: 1) Corrosion at the Kennedy Space Center (KSC); 2) Requirements and Objectives; 3) Program Description, Background and History; 4) Approach and Implementation; 5) Challenges; 6) Lessons Learned; 7) Successes and Benefits; and 8) Summary and Conclusions.

Two Views of Islam: Ceramic Tile Design and Miniatures.

ERIC Educational Resources Information Center

Macaulay, Sara Grove

2001-01-01

Describes an art project focusing on Islamic art that consists of two parts: (1) ceramic tile design; and (2) Islamic miniatures. Provides background information on Islamic art and step-by-step instructions for designing the Islamic tile and miniature. Includes learning objectives and resources on Islamic tile miniatures. (CMK)

The Reflection on the Domestic Research Status of Language Learning Strategies Used by Foreign Students Learning Chinese

NASA Astrophysics Data System (ADS)

Min, M. A.

Learning strategy is a psychological concept influenced by cognitive theory. It is a hot spot in the field of second language acquisition. This article analyses the research findings on Chinese learning strategies published by the domestic publications over the past ten years. The article introduces research achievements in the field of Chinese learning strategies, summarizes the research characteristic, and points out the shortcomings of the researches in three ways: the type of the research findings, research teams and research objects. The article suggests the researchers should enhance team cooperation, communicate with the researchers from Hong Kong, Macao and Taiwan, establish the better academic platform and focus on the contrastive research on Chinese learner from different backgrounds.

Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning.

PubMed

Zhou, Tao; Liu, Fanghui; Bhaskar, Harish; Yang, Jie

2017-09-12

In this paper, we propose a novel and robust tracking framework based on online discriminative and low-rank dictionary learning. The primary aim of this paper is to obtain compact and low-rank dictionaries that can provide good discriminative representations of both target and background. We accomplish this by exploiting the recovery ability of low-rank matrices. That is if we assume that the data from the same class are linearly correlated, then the corresponding basis vectors learned from the training set of each class shall render the dictionary to become approximately low-rank. The proposed dictionary learning technique incorporates a reconstruction error that improves the reliability of classification. Also, a multiconstraint objective function is designed to enable active learning of a discriminative and robust dictionary. Further, an optimal solution is obtained by iteratively computing the dictionary, coefficients, and by simultaneously learning the classifier parameters. Finally, a simple yet effective likelihood function is implemented to estimate the optimal state of the target during tracking. Moreover, to make the dictionary adaptive to the variations of the target and background during tracking, an online update criterion is employed while learning the new dictionary. Experimental results on a publicly available benchmark dataset have demonstrated that the proposed tracking algorithm performs better than other state-of-the-art trackers.

Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Security.

PubMed

Martin, Limor; Tuysuzoglu, Ahmet; Karl, W Clem; Ishwar, Prakash

2015-11-01

In recent years, baggage screening at airports has included the use of dual-energy X-ray computed tomography (DECT), an advanced technology for nondestructive evaluation. The main challenge remains to reliably find and identify threat objects in the bag from DECT data. This task is particularly hard due to the wide variety of objects, the high clutter, and the presence of metal, which causes streaks and shading in the scanner images. Image noise and artifacts are generally much more severe than in medical CT and can lead to splitting of objects and inaccurate object labeling. The conventional approach performs object segmentation and material identification in two decoupled processes. Dual-energy information is typically not used for the segmentation, and object localization is not explicitly used to stabilize the material parameter estimates. We propose a novel learning-based framework for joint segmentation and identification of objects directly from volumetric DECT images, which is robust to streaks, noise and variability due to clutter. We focus on segmenting and identifying a small set of objects of interest with characteristics that are learned from training images, and consider everything else as background. We include data weighting to mitigate metal artifacts and incorporate an object boundary field to reduce object splitting. The overall formulation is posed as a multilabel discrete optimization problem and solved using an efficient graph-cut algorithm. We test the method on real data and show its potential for producing accurate labels of the objects of interest without splits in the presence of metal and clutter.

Exploring How Institutional Structures and Practices Influence English Learners' Opportunity to Learn Social Studies

ERIC Educational Resources Information Center

Heafner, Tina L.; Plaisance, Michelle

2016-01-01

Background/Context: Current research addresses the marginalization of social studies and trends in teaching English learners (ELs) in monolingual schools; however, few studies have examined the way in which support services provided to ELs impact their exposure to social studies instruction. Purpose/Objective/Research Question/Focus of Study:…

Case Study: Involving Freshmen Nonscience Majors in Case Writing--Lessons Learned

ERIC Educational Resources Information Center

Prud'homme-Genereux, Annie

2013-01-01

The objective of the project described in this article was to engage nonscience majors in a science communication assignment. Most of these students will not pursue careers in the sciences, so the traditional science communication formats (review papers, poster or oral presentation, lab reports) are not germane to their background, interests, and…

Preschool Teachers' Child-Centered Beliefs: Direct and Indirect Associations with Work Climate and Job-Related Wellbeing

ERIC Educational Resources Information Center

Hur, Eunhye; Jeon, Lieny; Buettner, Cynthia K.

2016-01-01

Background: Early childhood teachers' child-centered beliefs, defined as teachers' attitudes about how children learn, have been associated with teachers' developmentally appropriate practices and positive child outcomes. The predictors of teachers' child-centered beliefs, however, are less frequently explored. Objective: This study tested whether…

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…

As Boys Become Men: Learning New Male Roles.

ERIC Educational Resources Information Center

Thompson, Doug

Designed for use in junior and senior high schools, this booklet focuses on the male role stereotype. Each of the eight sections contains activities, student objectives, and background information: (1) "What's Feminine and What's Masculine?" examines male and female sex role stereotypes; (2) "A Real Man" evaluates male role stereotypes; (3) "Men…

Preparing Principals to Improve Student Achievement

ERIC Educational Resources Information Center

Corcoran, Roisin P.

2017-01-01

Background: The growing interest in principal effectiveness as a means of improving teaching and student learning has led to a focus on the quality of principal preparation programs (PPPs) with calls for the adoption of PPP accountability systems similar to those of teacher preparation programs. Objective: The purpose of the present study is to…

Two Models of Learning and Achievement: An Explanation for the Achievement Gap?

ERIC Educational Resources Information Center

Yeh, Stuart S.

2015-01-01

Background/Context: Despite decades of research, the persistence of the gap in student achievement between disadvantaged minority students and their middle-class peers remains unexplained. Purpose/Objective: The purpose of the current article is to propose a new model of the achievement gap. Research Design: Data were analyzed from three…

Compassionate, Spiritual, and Creative Listening in Teaching and Learning

ERIC Educational Resources Information Center

Garrison, Jim

2010-01-01

Background/Context: Listening is largely overlooked in cultures constituted on the basis of the freedom of speech, such as we find in the United States and elsewhere. Purpose/Objective/Research Question/Focus of Study: The article explores compassionate listening as a creative spiritual activity. Such listening recognizes the suffering of others…

Quality Rating and Improvement Systems and Children's Cognitive Development

ERIC Educational Resources Information Center

Jeon, Lieny; Buettner, Cynthia K.

2015-01-01

Background: Providing enriched learning environments is important to stimulating children's development in early childhood. Early child-care policymakers in many states in the US have adopted Quality Rating and Improvement Systems (QRIS) as a way to verify quality of child care and to support children's school readiness. Objective: The purpose of…

Music and the mind: a new interdisciplinary course on the science of musical experience.

PubMed

Prichard, J Roxanne; Cornett-Murtada, Vanessa

2011-01-01

In this paper the instructors describe a new team-taught transdisciplinary seminar, "Music and Mind: The Science of Musical Experience." The instructors, with backgrounds in music and neuroscience, valued the interdisciplinary approach as a way to capture student interest and to reflect the inherent interconnectivity of neuroscience. The course covered foundational background information about the science of hearing and musical perception and about the phenomenology of musical creation and experience. This two-credit honors course, which attracted students from eleven majors, integrated experiential learning (active listening, journaling, conducting mini-experiments) with rigorous reflection and discussion of academic research. The course culminated in student-led discussions and presentations of final projects around hot topics in the science of music, such as the 'Mozart Effect,' music and religious experience, etc. Although this course was a two-credit seminar, it could easily be expanded to a four-credit lecture or laboratory course. Student evaluations reveal that the course was successful in meeting the learning objectives, that students were intrinsically motivated to learn more about the discipline, and that the team-taught, experiential learning approach was a success.

Mobile Virtual Learning Object for the Assessment of Acute Pain as a Learning Tool to Assess Acute Pain in Nursing: An Analysis of the Mental Workload

PubMed Central

2015-01-01

Background The inclusion of new technologies in education has motivated the development of studies on mental workload. These technologies are now being used in the teaching and learning process. The analysis enables identification of factors intervening in this workload as well as planning of overload prevention for educational activities using these technologies. Objective To analyze the mental workload of an educational intervention with the Mobile Virtual Learning Object for the Assessment of Acute Pain in adults and newborns, according to the NASA Task Load Index criteria. Methods A methodological study with data collected from 5 nurses and 75 students, from November of 2013 to February of 2014. Results The highest students’ and specialists’ means were in the dimensions of “Mental demand” (57.20 ± 22.27; 51 ± 29.45) and “Performance” (58.47 ± 24.19; 73 ± 28.85). The specialists’ mental workload index was higher (50.20 ± 7.28) when compared with students’ (47.87 ± 16.85) on a scale from 0 to 100 (P=.557). Conclusions The instrument allowed for the assessment of mental workload after an online educational intervention with a mobile learning virtual object. An excessive overload was not identified among participants. Assessing mental workload from the use of educational technologies at the end of a task is a key to their applicability, with the aim of providing a more effective, stimulating, and long-lasting experience of the learning process. PMID:27731849

Adaptive Shape Kernel-Based Mean Shift Tracker in Robot Vision System

PubMed Central

2016-01-01

This paper proposes an adaptive shape kernel-based mean shift tracker using a single static camera for the robot vision system. The question that we address in this paper is how to construct such a kernel shape that is adaptive to the object shape. We perform nonlinear manifold learning technique to obtain the low-dimensional shape space which is trained by training data with the same view as the tracking video. The proposed kernel searches the shape in the low-dimensional shape space obtained by nonlinear manifold learning technique and constructs the adaptive kernel shape in the high-dimensional shape space. It can improve mean shift tracker performance to track object position and object contour and avoid the background clutter. In the experimental part, we take the walking human as example to validate that our method is accurate and robust to track human position and describe human contour. PMID:27379165

The Effect of Attentional Focus Cues on Object Control Performance in Elementary Children

ERIC Educational Resources Information Center

Palmer, Kara K.; Matsuyama, Abigail L.; Irwin, J. Megan; Porter, Jared M.; Robinson, Leah E.

2017-01-01

Background and purpose: Attentional focus cues have been shown to impact motor performance of adults and children. Specifically, an external focus of attention results in improved motor learning and performance as compared to adopting an internal focus of attention. The purpose of this study was to determine the effects of an internal and external…

Evaluation of Seminar '68 Program ESEA (Title I).

ERIC Educational Resources Information Center

Milwaukee Public Schools, WI.

An interschool summer seminar for high school students of varying racial and cultural backgrounds was held in Milwaukee, Wisconsin. The objective of the six-week seminar, funded under ESEA, Title I, was to give the students the opportunity to learn about the patterns which constitute prejudice. Due to the late approval of the program only 49 of a…

The Impact of a Physical Activity Intervention Program on Academic Achievement in a Swedish Elementary School Setting

ERIC Educational Resources Information Center

Käll, Lina B.; Nilsson, Michael; Lindén, Thomas

2014-01-01

Background: Despite the emerging body of research on the potential of physical activity to improve learning and academic achievement, conclusive evidence regarding the effects of physical activity on academic achievement is lacking. The objective of this study was to determine the impact of a physical activity intervention program on academic…

Background, Foreground and the Ground in Between: Layers of Depth!

ERIC Educational Resources Information Center

McGovern, Cynthia

2009-01-01

This article describes a lesson in picture depth. The lesson involves tracing paper layers, object size and raising the horizon line per page layer. Students learn to look at and scan a photograph or print, break down the picture's qualities, and design elements and principles. Students also gain an increased appreciation for design and artist…

The Biggest Plates on Earth. Submarine Ring of Fire--Grades 5-6. Plate Tectonics.

ERIC Educational Resources Information Center

National Oceanic and Atmospheric Administration (DOC), Rockville, MD.

This activity is designed to teach how tectonic plates move, what some consequences of this motion are, and how magnetic anomalies document the motion at spreading centers do. The activity provides learning objectives, a list of needed materials, key vocabulary words, background information, day-to-day procedures, internet connections, career…

A Comprehensive Examination of Preschool Teachers' Implementation Fidelity When Using a Supplemental Language and Literacy Curriculum

ERIC Educational Resources Information Center

Piasta, Shayne B.; Justice, Laura M.; McGinty, Anita; Mashburn, Andrew; Slocum, Laura

2015-01-01

Background: Recent curriculum studies raise a number of questions concerning teachers' implementation fidelity, including the extent to which fidelity to multiple curriculum components is achieved and measured and the extent to which fidelity serves as a mechanism for impacting children's learning. Objective: Within the context of a language and…

Who Wants to Learn More Science? The Role of Elementary School Science Experiences and Science Self-Perceptions

ERIC Educational Resources Information Center

Aschbacher, Pamela R.; Ing, Marsha

2017-01-01

Background/Context: Much science education reform has been directed at middle and high school students; however, earlier experiences in elementary school may well have an important impact on young people's future science literacy and preparation for possible STEM careers. Purpose/Objective/Research Question/Focus of Study: This study explores the…

Nursing students evaluation of problem based learning and the impact of culture on the learning process and outcomes: a pilot project.

PubMed

Al-Kloub, Manal Ibrahim; Salameh, Taghreed Nayel; Froelicher, Erika Sivarajan

2014-03-01

This study evaluates students' learning experiences in a clinical pediatric nursing course adopting Problem Based Learning (PBL) and investigates how students' cultural background impacts on self directed learning. A mixed-methods approach combining quantitative and qualitative methods was utilized to answer the research objectives. An observational technique for the PBL teaching sessions was employed; and 226 third-year students were asked to complete PBL evaluation questionnaire. Fifty seven percent (n = 130) responses to the questionnaire were analyzed. Overall, students considered PBL to be moderately effective in their learning experience, with a mean of 3.64 (S.D = 1.18). Students qualitative responses fell within four thematic categories including: developing cognitive abilities, independent learning, motivation to learn, and group learning. Difficulties encountered by students were: it is time-consuming, it has unclear objectives, it is a stressful process, and it results in an increased workload. A small number of students indicated that PBL tutorials were boring and complained about lack of contribution from instructors and limited recourses. Learning is intertwined with culture; students' previous educational experiences, uncertainty, English language proficiency, computer resources, gender, and achievement were identified as the most important cultural issues that impact the learning process and outcomes. Successful implementation of PBL does not come easily; teachers should be alert to the issues of culture in designing curriculum. Copyright © 2013 Elsevier Ltd. All rights reserved.

What can we learn from the stochastic gravitational wave background produced by oscillons?

NASA Astrophysics Data System (ADS)

Antusch, Stefan; Cefalà, Francesco; Orani, Stefano

2018-03-01

The stochastic gravitational wave (GW) background provides a fascinating window to the physics of the very early universe. Beyond the nearly scale-invariant primordial GW spectrum produced during inflation, a spectrum with a much richer structure is typically generated during the preheating phase after inflation (or after some other phase transition at lower energies). This raises the question of what one can learn from a future observation of the stochastic gravitational wave background spectrum about the underlying physics during preheating. Recently, it has been shown that during preheating non-perturbative quasi-stable objects like oscillons can act as strong sources for GW, leading to characteristic features such as distinct peaks in the spectrum. In this paper, we study the GW production from oscillons using semi-analytical techniques. In particular, we discuss how the GW spectrum is affected by the parameters that characterise a given oscillon system, e.g. by the background cosmology, the asymmetry of the oscillons and the evolution of the number density of the oscillons. We compare our semi-analytic results with numerical lattice simulations for a hilltop inflation model and a KKLT scenario, which differ strongly in some of these characteristics, and find very good agreement.

Human tracking in thermal images using adaptive particle filters with online random forest learning

NASA Astrophysics Data System (ADS)

Ko, Byoung Chul; Kwak, Joon-Young; Nam, Jae-Yeal

2013-11-01

This paper presents a fast and robust human tracking method to use in a moving long-wave infrared thermal camera under poor illumination with the existence of shadows and cluttered backgrounds. To improve the human tracking performance while minimizing the computation time, this study proposes an online learning of classifiers based on particle filters and combination of a local intensity distribution (LID) with oriented center-symmetric local binary patterns (OCS-LBP). Specifically, we design a real-time random forest (RF), which is the ensemble of decision trees for confidence estimation, and confidences of the RF are converted into a likelihood function of the target state. First, the target model is selected by the user and particles are sampled. Then, RFs are generated using the positive and negative examples with LID and OCS-LBP features by online learning. The learned RF classifiers are used to detect the most likely target position in the subsequent frame in the next stage. Then, the RFs are learned again by means of fast retraining with the tracked object and background appearance in the new frame. The proposed algorithm is successfully applied to various thermal videos as tests and its tracking performance is better than those of other methods.

Parametric Crowd Generation Software for MS&T Simulations and Training

DTIC Science & Technology

2007-02-20

3 Technology Overview 5 Dynemotion System Components 5 Dynemotion System Architecture 6 Dynemotion-Enabled NPC Brain Cycles 9 Dynemotion API...Contents 10 Development Project Background Information 11 Potential Application and Impact for the DoD 13 Project Objectives, Scope...Methodology 13 Benefits of the Project 13 Project Innovation 14 *l_essons Learned and Open Questions 14 Research and Development Challenges 16

The Rocky Shore. A Learning Experience for Coastal and Oceanic Awareness Studies, No. 225. [Project COAST].

ERIC Educational Resources Information Center

Delaware Univ., Newark. Coll. of Education.

This unit is designed to be used by students in biology classes in secondary schools. Emphasized in the unit are coastal life zones, plants and animals that live in these areas, and factors influencing the lives of the organisms. Included in the unit are evaluation materials, instructional objectives, student background information, masters for…

Good Beginnings Are Not the Measure of Success: Using an Outcomes Logic Model to Track the Progress of the Irish Integrative Learning Project

ERIC Educational Resources Information Center

Ryan, C. Anthony; Higgs, Bettie; Kilcommins, Shane

2009-01-01

Background: The resources, needs and implementation activities of educational projects are often straightforward to document, especially if objectives are clear. However, developing appropriate metrics and indicators of outcomes and performance is not only challenging but is often overlooked in the excitement of project design and implementation.…

First Stages of Adult Students' Relationship to Scientific Knowing and Research in the Open University's Web-Based Methodology Course

ERIC Educational Resources Information Center

Isosomppi, Leena; Maunula, Minna

2016-01-01

The adult students who participate in the web-based studies of the open university have in many ways heterogeneous starting points for studying and learning, for example, the educational backgrounds, the acquired work experience, the general academic skills and the objectives of the future can vary considerably. The adult students striving from…

Information based universal feature extraction

NASA Astrophysics Data System (ADS)

Amiri, Mohammad; Brause, Rüdiger

2015-02-01

In many real world image based pattern recognition tasks, the extraction and usage of task-relevant features are the most crucial part of the diagnosis. In the standard approach, they mostly remain task-specific, although humans who perform such a task always use the same image features, trained in early childhood. It seems that universal feature sets exist, but they are not yet systematically found. In our contribution, we tried to find those universal image feature sets that are valuable for most image related tasks. In our approach, we trained a neural network by natural and non-natural images of objects and background, using a Shannon information-based algorithm and learning constraints. The goal was to extract those features that give the most valuable information for classification of visual objects hand-written digits. This will give a good start and performance increase for all other image learning tasks, implementing a transfer learning approach. As result, in our case we found that we could indeed extract features which are valid in all three kinds of tasks.

Music and the Mind: A New Interdisciplinary Course on the Science of Musical Experience

PubMed Central

Prichard, J. Roxanne; Cornett-Murtada, Vanessa

2011-01-01

In this paper the instructors describe a new team-taught transdisciplinary seminar, “Music and Mind: The Science of Musical Experience.” The instructors, with backgrounds in music and neuroscience, valued the interdisciplinary approach as a way to capture student interest and to reflect the inherent interconnectivity of neuroscience. The course covered foundational background information about the science of hearing and musical perception and about the phenomenology of musical creation and experience. This two-credit honors course, which attracted students from eleven majors, integrated experiential learning (active listening, journaling, conducting mini-experiments) with rigorous reflection and discussion of academic research. The course culminated in student-led discussions and presentations of final projects around hot topics in the science of music, such as the ‘Mozart Effect,’ music and religious experience, etc. Although this course was a two-credit seminar, it could easily be expanded to a four-credit lecture or laboratory course. Student evaluations reveal that the course was successful in meeting the learning objectives, that students were intrinsically motivated to learn more about the discipline, and that the team-taught, experiential learning approach was a success. PMID:23494097

Physics Learning Styles in Higher Education

NASA Astrophysics Data System (ADS)

Loos, Rebecca; Ward, James

2012-03-01

Students in Physics learn in a variety ways depending on backgrounds and interests. This study proposes to evaluate how students in Physics learn using Howard Gardner's Theory of Multiple Intelligences. Physics utilizes numbers, conceptualization of models, observations and visualization skills, and the ability to understand and reflect on specific information. The main objective is to evaluate how Physics students learn specifically using spatial, visual and sequential approaches. This will be assessed by conducting a learning style survey provided by North Carolina State University (NCSU). The survey is completed online by the student after which the results are sent to NCSU. Students will print out the completed survey analysis for further evaluation. The NCSU results categorize students within five of ten learning styles. After the evaluation of Howard Gardner's Theory of Multiple Intelligences and the NCSU definitions of the ten learning styles, the NCSU sensing and visual learning styles will be defined as the Gardener's spatial, visual learning styles. NCSU's sequential learning style will be looked at separately. With the survey results, it can be determined if Physics students fall within the hypothesized learning styles.

Spectral characterization of natural backgrounds

NASA Astrophysics Data System (ADS)

Winkelmann, Max

2017-10-01

As the distribution and use of hyperspectral sensors is constantly increasing, the exploitation of spectral features is a threat for camouflaged objects. To improve camouflage materials at first the spectral behavior of backgrounds has to be known to adjust and optimize the spectral reflectance of camouflage materials. In an international effort, the NATO CSO working group SCI-295 "Development of Methods for Measurements and Evaluation of Natural Background EO Signatures" is developing a method how this characterization of backgrounds has to be done. It is obvious that the spectral characterization of a background will be quite an effort. To compare and exchange data internationally the measurements will have to be done in a similar way. To test and further improve this method an international field trial has been performed in Storkow, Germany. In the following we present first impressions and lessons learned from this field campaign and describe the data that has been measured.

A real-time standard parts inspection based on deep learning

NASA Astrophysics Data System (ADS)

Xu, Kuan; Li, XuDong; Jiang, Hongzhi; Zhao, Huijie

2017-10-01

Since standard parts are necessary components in mechanical structure like bogie and connector. These mechanical structures will be shattered or loosen if standard parts are lost. So real-time standard parts inspection systems are essential to guarantee their safety. Researchers would like to take inspection systems based on deep learning because it works well in image with complex backgrounds which is common in standard parts inspection situation. A typical inspection detection system contains two basic components: feature extractors and object classifiers. For the object classifier, Region Proposal Network (RPN) is one of the most essential architectures in most state-of-art object detection systems. However, in the basic RPN architecture, the proposals of Region of Interest (ROI) have fixed sizes (9 anchors for each pixel), they are effective but they waste much computing resources and time. In standard parts detection situations, standard parts have given size, thus we can manually choose sizes of anchors based on the ground-truths through machine learning. The experiments prove that we could use 2 anchors to achieve almost the same accuracy and recall rate. Basically, our standard parts detection system could reach 15fps on NVIDIA GTX1080 (GPU), while achieving detection accuracy 90.01% mAP.

From Foreground to Background: How Task-Neutral Context Influences Contextual Cueing of Visual Search.

PubMed

Zang, Xuelian; Geyer, Thomas; Assumpção, Leonardo; Müller, Hermann J; Shi, Zhuanghua

2016-01-01

Selective attention determines the effectiveness of implicit contextual learning (e.g., Jiang and Leung, 2005). Visual foreground-background segmentation, on the other hand, is a key process in the guidance of attention (Wolfe, 2003). In the present study, we examined the impact of foreground-background segmentation on contextual cueing of visual search in three experiments. A visual search display, consisting of distractor 'L's and a target 'T', was overlaid on a task-neutral cuboid on the same depth plane (Experiment 1), on stereoscopically separated depth planes (Experiment 2), or spread over the entire display on the same depth plane (Experiment 3). Half of the search displays contained repeated target-distractor arrangements, whereas the other half was always newly generated. The task-neutral cuboid was constant during an initial training session, but was either rotated by 90° or entirely removed in the subsequent test sessions. We found that the gains resulting from repeated presentation of display arrangements during training (i.e., contextual-cueing effects) were diminished when the cuboid was changed or removed in Experiment 1, but remained intact in Experiments 2 and 3 when the cuboid was placed in a different depth plane, or when the items were randomly spread over the whole display but not on the edges of the cuboid. These findings suggest that foreground-background segmentation occurs prior to contextual learning, and only objects/arrangements that are grouped as foreground are learned over the course of repeated visual search.

From Foreground to Background: How Task-Neutral Context Influences Contextual Cueing of Visual Search

PubMed Central

Zang, Xuelian; Geyer, Thomas; Assumpção, Leonardo; Müller, Hermann J.; Shi, Zhuanghua

2016-01-01

Selective attention determines the effectiveness of implicit contextual learning (e.g., Jiang and Leung, 2005). Visual foreground-background segmentation, on the other hand, is a key process in the guidance of attention (Wolfe, 2003). In the present study, we examined the impact of foreground-background segmentation on contextual cueing of visual search in three experiments. A visual search display, consisting of distractor ‘L’s and a target ‘T’, was overlaid on a task-neutral cuboid on the same depth plane (Experiment 1), on stereoscopically separated depth planes (Experiment 2), or spread over the entire display on the same depth plane (Experiment 3). Half of the search displays contained repeated target-distractor arrangements, whereas the other half was always newly generated. The task-neutral cuboid was constant during an initial training session, but was either rotated by 90° or entirely removed in the subsequent test sessions. We found that the gains resulting from repeated presentation of display arrangements during training (i.e., contextual-cueing effects) were diminished when the cuboid was changed or removed in Experiment 1, but remained intact in Experiments 2 and 3 when the cuboid was placed in a different depth plane, or when the items were randomly spread over the whole display but not on the edges of the cuboid. These findings suggest that foreground-background segmentation occurs prior to contextual learning, and only objects/arrangements that are grouped as foreground are learned over the course of repeated visual search. PMID:27375530

Student experiments on Skylab

NASA Technical Reports Server (NTRS)

Floyd, H. B.

1974-01-01

Review of the background and experimental results of the Skylab student project, and assessment of its overall benefits. Virtually all of the objectives of the experiments adopted from student proposals were met. NASA benefited from the program by learning that meaningful experiments could be incorporated into a carry-on or suitcase concept at low cost and within very short time periods. The students benefited greatly from their association with the Skylab program by being afforded a learning opportunity and contact with the real world of research, normally beyond their reach. In addition, hometowns, states, and regions developed a close identification with space exploration.

[Learning styles in medical residents and their professors of a pediatric hospital.

PubMed

Juárez-Muñoz, Irina Elizabeth; Gómez-Negrete, Alonso; Varela-Ruiz, Margarita; Mejía-Aranguré, Juan Manuel; Mercado-Arellano, José Agustín; Sciandra-Rico, Martha Minerva; Matute-González, Mario Manuel

2013-01-01

Background: the learning styles are cognitive, emotional, and psychological characteristics, which function as relatively stable indicators of how teachers and students perceive, interact, and respond to their learning environments. Knowing students' styles allows teachers to have tools to improve medical education. Our objective was to identify learning styles in pediatric residents and professors from a pediatric hospital. Methods: a learning styles questionnaire was applied to residents and theirs professors; data was analyzed in SPSS 12 software. Results: the dominant learning style in pediatric residents was reflexive and for professors was theoretical. There wasn't any difference between sexes or between medical or surgical specialities. There was more correlation between professors and residents when there was an increase in training time. Conclusions: the learning styles between professors and residents are different, especially at the beginning of the medical specialty courses; that's why it is necessary to realize a confrontation between the students' learning styles and teaching methods used by professors to improve significant learning. To know learning styles gives residents an important alternative to find a better study strategy.

Computer game-based and traditional learning method: a comparison regarding students’ knowledge retention

PubMed Central

2013-01-01

Background Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes in the digital world over the last decades, students of the current generation expect technology to be used in advancing their learning requiring a need to change traditional passive learning methodologies to an active multisensory experimental learning methodology. The objective of this study was to compare a computer game-based learning method with a traditional learning method, regarding learning gains and knowledge retention, as means of teaching head and neck Anatomy and Physiology to Speech-Language and Hearing pathology undergraduate students. Methods Students were randomized to participate to one of the learning methods and the data analyst was blinded to which method of learning the students had received. Students’ prior knowledge (i.e. before undergoing the learning method), short-term knowledge retention and long-term knowledge retention (i.e. six months after undergoing the learning method) were assessed with a multiple choice questionnaire. Students’ performance was compared considering the three moments of assessment for both for the mean total score and for separated mean scores for Anatomy questions and for Physiology questions. Results Students that received the game-based method performed better in the pos-test assessment only when considering the Anatomy questions section. Students that received the traditional lecture performed better in both post-test and long-term post-test when considering the Anatomy and Physiology questions. Conclusions The game-based learning method is comparable to the traditional learning method in general and in short-term gains, while the traditional lecture still seems to be more effective to improve students’ short and long-term knowledge retention. PMID:23442203

'Learning disabilities' as a 'black box': on the different conceptions and constructions of a popular clinical entity in Israel.

PubMed

Katchergin, Ofer

2014-12-01

This article aims to stimulate new thinking about learning disabilities than is customary in local literature. Previous educational and psychological studies concerning learning disabilities regarded them as if they were objective categories with formal definitions and criteria accepted in scholarly literature. Contrary to that, this article explores the various conceptions, constructions, and meanings of learning disabilities that comprise the narrative descriptions and explanations of didactic diagnosticians. For this purpose, 50 in-depth interviews were conducted. There are four sections. Part One lays out the theoretical and methodological background of the sociological and discursive debate about learning disabilities. Part Two explores the various main thematic aspects and narrative strategies that were used by the diagnosticians in their construction of their purportedly 'objective', 'a-historical', 'a-political' experts' narrative. The third part reveals the polyphonic multifaceted nature of the learning disabilities construct. The experts' narrative undermines the objective and homogeneous definitions in the literature by uncovering learning disabilities' heterogeneous meaning repertoire. This repertoire consists, among others, of conceptualizing disability as a 'disease', a 'symptom', a 'genetic defect', a 'disorder', an 'educational difficulty', a 'variance', and even a 'gift'. This part also reveals the experts' narrative reaction strategies to the aforementioned polyphonic spectacle. It is revealed that the interviewees' narrative deconstructs the 'scientific factual nature' of the clinical categories. The fourth part highlights a central paradox in the expert narrative: The tension between the narrative stigmatic-labeling aspects and the destigmatic-'liberating' aspects. The claim is made that this tension can partly explain the current popularity of the LD diagnosis. This article is the third in a series of papers that seeks to contribute to the creation of a more nuanced disability discourse by exposing its shaky scientific foundations.

Learning for VMM + WTA Embedded Classifiers

DTIC Science & Technology

2016-03-31

enabling correct classification of each novel acoustic signal (generator, idle car , and idle truck). The classification structure requires, after...measured on our SoC FPAA IC. The test input is composed of signals from urban environment for 3 objects (generator, idle car , and idle truck...classifier results from a rural truck data set, an urban generator set, and urban idle car dataset. Solid lines represent our extracted background

Religion and the Foster Home. Fostering Families. A Specialized Training Program Designed for Foster Care Workers & Foster Care Parents.

ERIC Educational Resources Information Center

Schatz, Mona Struhsaker; Horejsi, Charles R.

This module is part of a training program for foster parents and foster care workers offered at Colorado State University. The module examines religious practices in foster homes. The module's learning objectives address: (1) the religious background of a foster child's birth family; (2) the rights of a foster child's birth parents concerning the…

Writing Development in Secondary/Post Secondary Language Learning: Integrating Multiple Motivating Factors, Explanatory Feedback, and Explanatory Writing Tools to Increase Competence and Confidence in Writing

ERIC Educational Resources Information Center

Jefferson, Trevina

2013-01-01

Background: This study discusses data-driven results of newly-developed writing tools that are objective, easy, and less time-consuming than standard classroom writing strategies; additionally, multiple motivation triggers and peer evaluation are evaluated together with these new, modernized writing tools. The results are explained separately and…

The Columbia-Bronx VA amalgamative clerkship: an effective, 12-week, integrated, longitudinal clinical experience

PubMed Central

Diuguid-Gerber, Jillian; Porter, Samuel; Quiah, Samuel C.; Nickerson, Katherine; Jones, Deborah; Audi, Zeena; Richards, Boyd F.

2017-01-01

ABSTRACT Background: Many medical schools have adopted the longitudinal integrated clerkship (LIC) model in response to calls for increased continuity in clinical learning environments. However, because of implementation challenges, such programs are not feasible at some institutions or are limited to a small number of students. Objective: In January 2014, Columbia University College of Physicians and Surgeons (P&S) recognized the need to explore different LIC formats and began offering four, 12-week amalgamative clerkships (AC). Students within this curricular track experienced primary care, internal medicine ‘away’, orthopedic surgery, urology, and an elective in an integrated format. Design: P&S developed the AC in partnership with the James J. Peters VA Medical Center in Bronx, NY (BVA). All patient care and educational conferences took place at the BVA during the 12-week experience. The learning objectives of the AC were aligned to the learning objectives of a 52-week LIC also offered at Columbia. An evaluation process was developed to determine student learning experiences and preliminary outcomes, including how well the LIC-related objectives could be achieved in a shorter period of time. Results: In 2015, P&S collected AC evaluation data through three student feedback sessions. Students reported that the AC provided opportunity for patient continuity, patient-centered care approaches, meaningful roles for students, career development opportunities, and health systems awareness. Conclusions: Early outcomes indicate that the BVA AC provides a degree of longitudinality that can influence student perceptions of patient care, career development, and health systems, consistent with the larger LIC. The team continues to gather additional data on students’ experiences and investigate additional sites that have potential to serve as future AC learning environments. PMID:28317473

Siamese convolutional networks for tracking the spine motion

NASA Astrophysics Data System (ADS)

Liu, Yuan; Sui, Xiubao; Sun, Yicheng; Liu, Chengwei; Hu, Yong

2017-09-01

Deep learning models have demonstrated great success in various computer vision tasks such as image classification and object tracking. However, tracking the lumbar spine by digitalized video fluoroscopic imaging (DVFI), which can quantitatively analyze the motion mode of spine to diagnose lumbar instability, has not yet been well developed due to the lack of steady and robust tracking method. In this paper, we propose a novel visual tracking algorithm of the lumbar vertebra motion based on a Siamese convolutional neural network (CNN) model. We train a full-convolutional neural network offline to learn generic image features. The network is trained to learn a similarity function that compares the labeled target in the first frame with the candidate patches in the current frame. The similarity function returns a high score if the two images depict the same object. Once learned, the similarity function is used to track a previously unseen object without any adapting online. In the current frame, our tracker is performed by evaluating the candidate rotated patches sampled around the previous frame target position and presents a rotated bounding box to locate the predicted target precisely. Results indicate that the proposed tracking method can detect the lumbar vertebra steadily and robustly. Especially for images with low contrast and cluttered background, the presented tracker can still achieve good tracking performance. Further, the proposed algorithm operates at high speed for real time tracking.

The Influence of Background Music on Learning in the Light of Different Theoretical Perspectives and the Role of Working Memory Capacity.

PubMed

Lehmann, Janina A M; Seufert, Tina

2017-01-01

This study investigates how background music influences learning with respect to three different theoretical approaches. Both the Mozart effect as well as the arousal-mood-hypothesis indicate that background music can potentially benefit learning outcomes. While the Mozart effect assumes a direct influence of background music on cognitive abilities, the arousal-mood-hypothesis assumes a mediation effect over arousal and mood. However, the seductive detail effect indicates that seductive details such as background music worsen learning. Moreover, as working memory capacity has a crucial influence on learning with seductive details, we also included the learner's working memory capacity as a factor in our study. We tested 81 college students using a between-subject design with half of the sample listening to two pop songs while learning a visual text and the other half learning in silence. We included working memory capacity in the design as a continuous organism variable. Arousal and mood scores before and after learning were collected as potential mediating variables. To measure learning outcomes we tested recall and comprehension. We did not find a mediation effect between background music and arousal or mood on learning outcomes. In addition, for recall performance there were no main effects of background music or working memory capacity, nor an interaction effect of these factors. However, when considering comprehension we did find an interaction between background music and working memory capacity: the higher the learners' working memory capacity, the better they learned with background music. This is in line with the seductive detail assumption.

The Influence of Background Music on Learning in the Light of Different Theoretical Perspectives and the Role of Working Memory Capacity

PubMed Central

Lehmann, Janina A. M.; Seufert, Tina

2017-01-01

This study investigates how background music influences learning with respect to three different theoretical approaches. Both the Mozart effect as well as the arousal-mood-hypothesis indicate that background music can potentially benefit learning outcomes. While the Mozart effect assumes a direct influence of background music on cognitive abilities, the arousal-mood-hypothesis assumes a mediation effect over arousal and mood. However, the seductive detail effect indicates that seductive details such as background music worsen learning. Moreover, as working memory capacity has a crucial influence on learning with seductive details, we also included the learner’s working memory capacity as a factor in our study. We tested 81 college students using a between-subject design with half of the sample listening to two pop songs while learning a visual text and the other half learning in silence. We included working memory capacity in the design as a continuous organism variable. Arousal and mood scores before and after learning were collected as potential mediating variables. To measure learning outcomes we tested recall and comprehension. We did not find a mediation effect between background music and arousal or mood on learning outcomes. In addition, for recall performance there were no main effects of background music or working memory capacity, nor an interaction effect of these factors. However, when considering comprehension we did find an interaction between background music and working memory capacity: the higher the learners’ working memory capacity, the better they learned with background music. This is in line with the seductive detail assumption. PMID:29163283

A Scientific Workflow Platform for Generic and Scalable Object Recognition on Medical Images

NASA Astrophysics Data System (ADS)

Möller, Manuel; Tuot, Christopher; Sintek, Michael

In the research project THESEUS MEDICO we aim at a system combining medical image information with semantic background knowledge from ontologies to give clinicians fully cross-modal access to biomedical image repositories. Therefore joint efforts have to be made in more than one dimension: Object detection processes have to be specified in which an abstraction is performed starting from low-level image features across landmark detection utilizing abstract domain knowledge up to high-level object recognition. We propose a system based on a client-server extension of the scientific workflow platform Kepler that assists the collaboration of medical experts and computer scientists during development and parameter learning.

Learning viewpoint invariant object representations using a temporal coherence principle.

PubMed

Einhäuser, Wolfgang; Hipp, Jörg; Eggert, Julian; Körner, Edgar; König, Peter

2005-07-01

Invariant object recognition is arguably one of the major challenges for contemporary machine vision systems. In contrast, the mammalian visual system performs this task virtually effortlessly. How can we exploit our knowledge on the biological system to improve artificial systems? Our understanding of the mammalian early visual system has been augmented by the discovery that general coding principles could explain many aspects of neuronal response properties. How can such schemes be transferred to system level performance? In the present study we train cells on a particular variant of the general principle of temporal coherence, the "stability" objective. These cells are trained on unlabeled real-world images without a teaching signal. We show that after training, the cells form a representation that is largely independent of the viewpoint from which the stimulus is looked at. This finding includes generalization to previously unseen viewpoints. The achieved representation is better suited for view-point invariant object classification than the cells' input patterns. This property to facilitate view-point invariant classification is maintained even if training and classification take place in the presence of an--also unlabeled--distractor object. In summary, here we show that unsupervised learning using a general coding principle facilitates the classification of real-world objects, that are not segmented from the background and undergo complex, non-isomorphic, transformations.

Access to oral health care services among adults with learning disabilities: a scoping review

PubMed Central

Naseem, Mustafa; Shah, Altaf H; Khiyani, Muhammad Faheem; Khurshid, Zohaib; Zafar, Muhammad Sohail; Gulzar, Shabnam; AlJameel, AlBandary H.; Khalil, Hesham S.

2016-01-01

Summary Background The prevalence of oral diseases including dental caries and periodontal conditions is remarkably higher in people with disabilities. The provision of accessible oral health services for people with learning disabilities may be challenging. Objectives The objectives of the review were to identify barriers in accessing oral health care that persists within society, enabling or disabling people with learning disabilities. Methods Using the Arksey O’Malley framework, a scoping review was conducted on PubMed/Medline, OVIDSP, and EMBASE. Studies were evaluated and short-listed based on the inclusion criteria, which consisted of: (1) study participants or population with learning disabilities, (2) aged 16 years or over, (3) reporting on access to oral health services, (4) published in the English language. Those that justified the inclusion criteria were carefully chosen after a blind peer-reviewed process when relevance and quality were debated. Results Nine studies were eventually included from searches. Tabulation of data was done under the heading of study type, outcomes, the year of publication and patient selection. The majority of studies provided a biomedical overview of access for adults with learning disabilities. Conclusions The concept of access for people with disability is still ill-defined and obscure. Access to oral health care and needs of people with learning disabilities are complex and multi-facet. PMID:28149451

Student Response to Remote-Online Case-Based Learning: A Qualitative Study

PubMed Central

2016-01-01

Background Case-based learning (CBL) typically involves face-to-face interaction in small collaborative groups with a focus on self-directed study. To our knowledge, no published studies report an evaluation of Web conferencing in CBL. Objective The primary aim of this study was to explore student perceptions and attitudes in response to a remote-online case-based learning (RO-CBL) experience. Methods This study took place over a 2-week period in 2013 at Monash University, Victoria, Australia. A third year cohort (n=73) of physiotherapy students was invited to participate. Students were required to participate in 2 training sessions, followed by RO-CBL across 2 sessions. The primary outcome of interest was the student feedback on the quality of the learning experience during RO-CBL participation. This was explored with a focus group and a survey. Results Most students (68/73) completed the postintervention survey (nonparticipation rate 8%). RO-CBL was generally well received by participants, with 59% (40/68) of participates stating that they’d like RO-CBL to be used in the future and 78% (53/68) of participants believing they could meet the CBL’s learning objectives via RO-CBL. The 4 key themes relevant to student response to RO-CBL that emerged from the focus groups and open-ended questions on the postintervention survey were how RO-CBL compared to expectations, key benefits of RO-CBL including flexibility and time and cost savings, communication challenges in the online environment compared to face-to-face, and implications of moving to an online platform. Conclusions Web conferencing may be a suitable medium for students to participate in CBL. Participants were satisfied with the learning activity and felt they could meet the CBL’s learning objectives. Further study should evaluate Web conferencing CBL across an entire semester in regard to student satisfaction, perceived depth of learning, and learning outcomes. PMID:27731852

Interprofessional peer-assisted learning as a low-threshold course for joint learning: Evaluation results of the interTUT Project

PubMed Central

Reichel, Kathrin; Dietsche, Stefan; Hölzer, Henrike; Ewers, Michael

2016-01-01

Background and objective: The delivery of needs-based health care services requires a team-based and collaborative approach of different health professionals, which is not yet sufficienctliy implemented on a day to day basis. Interprofessional learning activities aim to respond to this in future. The cross-university pilot project interTUT used peer-assisted learning approaches and extracurricular tutorials in order address this issue. Methodology: During the pilot phase, eight students and trainees have been acquired. Together, they prepared and led four extracurricular tutorials on core topics of interprofessional cooperation and documented them in procedure manuals. The course was evaluated using a standardized participant survey (n=72) and two focus groups (n=3, n=5) in which participants were asked to reflect on their individual learning experiences. Descriptive statistics were used to analyze the survey data and the focus group material was interpreted using qualitative content analysis. Results: The results indicated a high level of satisfaction, acceptance of and further demand for peer-supported learning activities. The students and trainees reported changed attitudes and subjective knowledge growth regarding the other professional groups. The constructive learning atmosphere as well as having access to a forum for interprofessional exchange were equally valued. Conclusions: Extracurricular tutorials offer a low-threshold and very promising point of contact for the facilitation of interprofessional teaching and learning. However, this should be viewed against the background that, as part of the pilot project, only a small number of students and trainees who were already interested in the topic could be reached by this optional course. A comprehensive, long-term trial of this teaching and learning format, its linkage to curricular courses, and further research on its education-specific and practice-related effects are, therefore, necessary. PMID:27280141

Teaching clinical pharmacology and therapeutics with an emphasis on the therapeutic reasoning of undergraduate medical students

PubMed Central

Richir, Milan C.; Tichelaar, Jelle; Geijteman, Eric C. T.

2008-01-01

Background The rational prescribing of drugs is an essential skill of medical doctors. Clinical pharmacologists play an important role in the development of these skills by teaching clinical pharmacology and therapeutics (CP&T) to undergraduate medical students. Although the approaches to teaching CP&T have undergone many changes over the last decennia, it is essential that the actual teaching of CP&T continues to be a major part of the undergraduate medical curriculum. Objectives The learning objectives of CP&T teaching in terms of developing the therapeutic competencies of undergraduate medical students are described, with an emphasis on therapeutic decision-making. On the basis of current theories of cognitive psychology and medical education, context-learning is presented as an effective approach by which to achieve therapeutic competencies. An example of a CP&T curriculum is presented. PMID:18228012

How I Learned to Stop Worrying and Love the SWCX Emission

NASA Technical Reports Server (NTRS)

Snowden, Steven

2011-01-01

In the last twenty years solar wind change exchange (SWCX) X-ray emission has gone from a significant and irritating background component of unknown origin for astrophysical observations to a field of study in its own right. On one hand, it provides an uncertain offset to observations of extended astrophysical objects and the diffuse X-ray background, and severely compromises the interpretation of many results. On the other hand, SWCX emission has the potential to shed light on physical phenomena in the near-Earth environment and the solar system. In addition, charge exchange emission may prove significant in many other areas of astrophysical diffuse X-ray emission such as supernova remnants. I will present an historical background from the perspective of studying the diffuse X-ray background, cover a variety of SWCX observations and implications, and discuss the realm of possible research and practical applications based on SWCX emission

The use of mathematical models in teaching wastewater treatment engineering.

PubMed

Morgenroth, E; Arvin, E; Vanrolleghem, P

2002-01-01

Mathematical modeling of wastewater treatment processes has become increasingly popular in recent years. To prepare students for their future careers, environmental engineering education should provide students with sufficient background and experiences to understand and apply mathematical models efficiently and responsibly. Approaches for introducing mathematical modeling into courses on wastewater treatment engineering are discussed depending on the learning objectives, level of the course and the time available.

Event detection for car park entries by video-surveillance

NASA Astrophysics Data System (ADS)

Coquin, Didier; Tailland, Johan; Cintract, Michel

2007-10-01

Intelligent surveillance has become an important research issue due to the high cost and low efficiency of human supervisors, and machine intelligence is required to provide a solution for automated event detection. In this paper we describe a real-time system that has been used for detecting car park entries, using an adaptive background learning algorithm and two indicators representing activity and identity to overcome the difficulty of tracking objects.

Leaving the Lecture Behind: Putting PubMed Instruction into the Hands of the Students.

PubMed

Turner, Rose L; M Ketchum, Andrea; Ratajeski, Melissa A; Wessel, Charles B

2017-01-01

This column describes the development of a one-shot PubMed instruction class for medical students at a health sciences library. Background information on the objective is presented and discussed in the context of educational practice literature. The new course design centers on a guided group method of instruction in order to integrate more active learning. Surveyed students reported that the method was an effective way to learn how to search PubMed and that they preferred it to a traditional lecture. Pros and cons of the method are offered for other health sciences libraries interested in presenting PubMed instruction in a similar manner.

Effectiveness of a Core-Competency–based Program on Residents’ Learning and Experience

PubMed Central

Charles, Lesley; Triscott, Jean; Dobbs, Bonnie; Tian, Peter George; Babenko, Oksana

2016-01-01

Background The Care of the Elderly (COE) Diploma Program is a six-to-twelve-month enhanced skills program taken after two years of core residency training in Family Medicine. In 2010, we developed and implemented a core-competency–based COE Diploma program (CC), in lieu of one based on learning objectives (LO). This study assessed the effectiveness of the core-competency–based program on residents’ learning and their training experience as compared to residents trained using learning objectives. Methods The data from the 2007–2013 COE residents were used in the study, with nine and eight residents trained in the LO and CC programs, respectively. Residents’ learning was measured using preceptors’ evaluations of residents’ skills/abilities throughout the program (118 evaluations in total). Residents’ rating of training experience was measured using the Graduate’s Questionnaire which residents completed after graduation. Results For residents’ learning, overall, there was no significant difference between the two programs. However, when examined as a function of the four CanMEDS roles, there were significant increases in the CC residents’ scores for two of the CanMEDS roles: Communicator/Collaborator/Manager and Scholar compared to residents in the LO program. With respect to residents’ training experience, seven out of ten program components were rated by the CC residents higher than by the LO residents. Conclusion The implementation of a COE CC program appears to facilitate resident learning and training experience. PMID:27403213

Verbal learning in the context of background music: no influence of vocals and instrumentals on verbal learning

PubMed Central

2014-01-01

Background Whether listening to background music enhances verbal learning performance is still a matter of dispute. In this study we investigated the influence of vocal and instrumental background music on verbal learning. Methods 226 subjects were randomly assigned to one of five groups (one control group and 4 experimental groups). All participants were exposed to a verbal learning task. One group served as control group while the 4 further groups served as experimental groups. The control group learned without background music while the 4 experimental groups were exposed to vocal or instrumental musical pieces during learning with different subjective intensity and valence. Thus, we employed 4 music listening conditions (vocal music with high intensity: VOC_HIGH, vocal music with low intensity: VOC_LOW, instrumental music with high intensity: INST_HIGH, instrumental music with low intensity: INST_LOW) and one control condition (CONT) during which the subjects learned the word lists. Since it turned out that the high and low intensity groups did not differ in terms of the rated intensity during the main experiment these groups were lumped together. Thus, we worked with 3 groups: one control group and two groups, which were exposed to background music (vocal and instrumental) during verbal learning. As dependent variable, the number of learned words was used. Here we measured immediate recall during five learning sessions (recall 1 – recall 5) and delayed recall for 15 minutes (recall 6) and 14 days (recall 7) after the last learning session. Results Verbal learning improved during the first 5 recall sessions without any strong difference between the control and experimental groups. Also the delayed recalls were similar for the three groups. There was only a trend for attenuated verbal learning for the group passively listened to vocals. This learning attenuation diminished during the following learning sessions. Conclusions The exposure to vocal or instrumental background music during encoding did not influence verbal learning. We suggest that the participants are easily able to cope with this background stimulation by ignoring this information channel in order to focus on the verbal learning task. PMID:24670048

Education on electrical phenomena involved in electroporation-based therapies and treatments: a blended learning approach.

PubMed

Čorović, Selma; Mahnič-Kalamiza, Samo; Miklavčič, Damijan

2016-04-07

Electroporation-based applications require multidisciplinary expertise and collaboration of experts with different professional backgrounds in engineering and science. Beginning in 2003, an international scientific workshop and postgraduate course electroporation based technologies and treatments (EBTT) has been organized at the University of Ljubljana to facilitate transfer of knowledge from leading experts to researches, students and newcomers in the field of electroporation. In this paper we present one of the integral parts of EBTT: an e-learning practical work we developed to complement delivery of knowledge via lectures and laboratory work, thus providing a blended learning approach on electrical phenomena involved in electroporation-based therapies and treatments. The learning effect was assessed via a pre- and post e-learning examination test composed of 10 multiple choice questions (i.e. items). The e-learning practical work session and both of the e-learning examination tests were carried out after the live EBTT lectures and other laboratory work. Statistical analysis was performed to compare and evaluate the learning effect measured in two groups of students: (1) electrical engineers and (2) natural scientists (i.e. medical doctors, biologists and chemists) undergoing the e-learning practical work in 2011-2014 academic years. Item analysis was performed to assess the difficulty of each item of the examination test. The results of our study show that the total score on the post examination test significantly improved and the item difficulty in both experimental groups decreased. The natural scientists reached the same level of knowledge (no statistical difference in total post-examination test score) on the post-course test take, as do electrical engineers, although the engineers started with statistically higher total pre-test examination score, as expected. The main objective of this study was to investigate whether the educational content the e-learning practical work presented to the students with different professional backgrounds enhanced their knowledge acquired via lectures during EBTT. We compared the learning effect assessed in two experimental groups undergoing the e-learning practical work: electrical engineers and natural scientists. The same level of knowledge on the post-course examination was reached in both groups. The results indicate that our e-learning platform supported by blended learning approach provides an effective learning tool for populations with mixed professional backgrounds and thus plays an important role in bridging the gap between scientific domains involved in electroporation-based technologies and treatments.

a Fully Automated Pipeline for Classification Tasks with AN Application to Remote Sensing

NASA Astrophysics Data System (ADS)

Suzuki, K.; Claesen, M.; Takeda, H.; De Moor, B.

2016-06-01

Nowadays deep learning has been intensively in spotlight owing to its great victories at major competitions, which undeservedly pushed `shallow' machine learning methods, relatively naive/handy algorithms commonly used by industrial engineers, to the background in spite of their facilities such as small requisite amount of time/dataset for training. We, with a practical point of view, utilized shallow learning algorithms to construct a learning pipeline such that operators can utilize machine learning without any special knowledge, expensive computation environment, and a large amount of labelled data. The proposed pipeline automates a whole classification process, namely feature-selection, weighting features and the selection of the most suitable classifier with optimized hyperparameters. The configuration facilitates particle swarm optimization, one of well-known metaheuristic algorithms for the sake of generally fast and fine optimization, which enables us not only to optimize (hyper)parameters but also to determine appropriate features/classifier to the problem, which has conventionally been a priori based on domain knowledge and remained untouched or dealt with naïve algorithms such as grid search. Through experiments with the MNIST and CIFAR-10 datasets, common datasets in computer vision field for character recognition and object recognition problems respectively, our automated learning approach provides high performance considering its simple setting (i.e. non-specialized setting depending on dataset), small amount of training data, and practical learning time. Moreover, compared to deep learning the performance stays robust without almost any modification even with a remote sensing object recognition problem, which in turn indicates that there is a high possibility that our approach contributes to general classification problems.

Aligning Theory and Design: The Development of an Online Learning Intervention to Teach Evidence-based Practice for Maximal Reach

PubMed Central

Vihstadt, Corrie; Evans, Roni

2015-01-01

Background: Online educational interventions to teach evidence-based practice (EBP) are a promising mechanism for overcoming some of the barriers to incorporating research into practice. However, attention must be paid to aligning strategies with adult learning theories to achieve optimal outcomes. Methods: We describe the development of a series of short self-study modules, each covering a small set of learning objectives. Our approach, informed by design-based research (DBR), involved 6 phases: analysis, design, design evaluation, redesign, development/implementation, and evaluation. Participants were faculty and students in 3 health programs at a complementary and integrative educational institution. Results: We chose a reusable learning object approach that allowed us to apply 4 main learning theories: events of instruction, cognitive load, dual processing, and ARCS (attention, relevance, confidence, satisfaction). A formative design evaluation suggested that the identified theories and instructional approaches were likely to facilitate learning and motivation. Summative evaluation was based on a student survey (N=116) that addressed how these theories supported learning. Results suggest that, overall, the selected theories helped students learn. Conclusion: The DBR approach allowed us to evaluate the specific intervention and theories for general applicability. This process also helped us define and document the intervention at a level of detail that covers almost all the proposed Guideline for Reporting Evidence-based practice Educational intervention and Teaching (GREET) items. This thorough description will facilitate the interpretation of future research and implementation of the intervention. Our approach can also serve as a model for others considering online EBP intervention development. PMID:26421233

A novel collaborative e-learning platform for medical students - ALERT STUDENT

PubMed Central

2014-01-01

Background The increasing complexity of medical curricula would benefit from adaptive computer supported collaborative learning systems that support study management using instructional design and learning object principles. However, to our knowledge, there are scarce reports regarding applications developed to meet this goal and encompass the complete medical curriculum. The aim of ths study was to develop and assess the usability of an adaptive computer supported collaborative learning system for medical students to manage study sessions. Results A study platform named ALERT STUDENT was built as a free web application. Content chunks are represented as Flashcards that hold knowledge and open ended questions. These can be created in a collaborative fashion. Multiple Flashcards can be combined into custom stacks called Notebooks that can be accessed in study Groups that belong to the user institution. The system provides a Study Mode that features text markers, text notes, timers and color-coded content prioritization based on self-assessment of open ended questions presented in a Quiz Mode. Time spent studying and Perception of knowledge are displayed for each student and peers using charts. Computer supported collaborative learning is achieved by allowing for simultaneous creation of Notebooks and self-assessment questions by many users in a pre-defined Group. Past personal performance data is retrieved when studying new Notebooks containing previously studied Flashcards. Self-report surveys showed that students highly agreed that the system was useful and were willing to use it as a reference tool. Conclusions The platform employs various instructional design and learning object principles in a computer supported collaborative learning platform for medical students that allows for study management. The application broadens student insight over learning results and supports informed decisions based on past learning performance. It serves as a potential educational model for the medical education setting that has gathered strong positive feedback from students at our school. This platform provides a case study on how effective blending of instructional design and learning object principles can be brought together to manage study, and takes an important step towards bringing information management tools to support study decisions and improving learning outcomes. PMID:25017028

Pharmacology education for nurse prescribing students – a lesson in reusable learning objects

PubMed Central

Lymn, Joanne S; Bath-Hextall, Fiona; Wharrad, Heather J

2008-01-01

Background The shift away from a biological science to a social science model of nursing care has resulted in a reduction in pharmacology knowledge and understanding in pre-registration nursing students. This has a significant impact on nurse prescribing training where pharmacology is a critical component of the course from a patient safety perspective. Methods Reusable learning objects (RLOs) are electronic resources based on a single learning objective which use high quality graphics and audio to help engagement with the material and to facilitate learning. This study used questionnaire data from three successive cohorts of nurse prescribing students (n = 84) to evaluate the use of RLOs focussed around pharmacology concepts to promote the understanding of these concepts in students. A small number of students (n = 10) were followed up by telephone interview one year after qualification to gain further insight into students' perceptions of the value of RLOs as an educational tool. Results Students' perceptions of their own understanding of pharmacology concepts increased substantially following the introduction of RLOs to supplement the pharmacology component of the course. Student evaluation of the RLOs themselves was extremely positive with a number of students continuing to access these tools post-qualification. Conclusion The use of RLOs to support the pharmacology component of nurse prescribing courses successfully resulted in a perceived increase in pharmacology understanding, with some students directly implicating these educational tools in developing confidence in their own prescribing abilities. PMID:18215261

EEG Beta Power but Not Background Music Predicts the Recall Scores in a Foreign-Vocabulary Learning Task.

PubMed

Küssner, Mats B; de Groot, Annette M B; Hofman, Winni F; Hillen, Marij A

2016-01-01

As tantalizing as the idea that background music beneficially affects foreign vocabulary learning may seem, there is-partly due to a lack of theory-driven research-no consistent evidence to support this notion. We investigated inter-individual differences in the effects of background music on foreign vocabulary learning. Based on Eysenck's theory of personality we predicted that individuals with a high level of cortical arousal should perform worse when learning with background music compared to silence, whereas individuals with a low level of cortical arousal should be unaffected by background music or benefit from it. Participants were tested in a paired-associate learning paradigm consisting of three immediate word recall tasks, as well as a delayed recall task one week later. Baseline cortical arousal assessed with spontaneous EEG measurement in silence prior to the learning rounds was used for the analyses. Results revealed no interaction between cortical arousal and the learning condition (background music vs. silence). Instead, we found an unexpected main effect of cortical arousal in the beta band on recall, indicating that individuals with high beta power learned more vocabulary than those with low beta power. To substantiate this finding we conducted an exact replication of the experiment. Whereas the main effect of cortical arousal was only present in a subsample of participants, a beneficial main effect of background music appeared. A combined analysis of both experiments suggests that beta power predicts the performance in the word recall task, but that there is no effect of background music on foreign vocabulary learning. In light of these findings, we discuss whether searching for effects of background music on foreign vocabulary learning, independent of factors such as inter-individual differences and task complexity, might be a red herring. Importantly, our findings emphasize the need for sufficiently powered research designs and exact replications of theory-driven experiments when investigating effects of background music and inter-individual variation on task performance.

EEG Beta Power but Not Background Music Predicts the Recall Scores in a Foreign-Vocabulary Learning Task

PubMed Central

de Groot, Annette M. B.; Hofman, Winni F.; Hillen, Marij A.

2016-01-01

As tantalizing as the idea that background music beneficially affects foreign vocabulary learning may seem, there is—partly due to a lack of theory-driven research—no consistent evidence to support this notion. We investigated inter-individual differences in the effects of background music on foreign vocabulary learning. Based on Eysenck’s theory of personality we predicted that individuals with a high level of cortical arousal should perform worse when learning with background music compared to silence, whereas individuals with a low level of cortical arousal should be unaffected by background music or benefit from it. Participants were tested in a paired-associate learning paradigm consisting of three immediate word recall tasks, as well as a delayed recall task one week later. Baseline cortical arousal assessed with spontaneous EEG measurement in silence prior to the learning rounds was used for the analyses. Results revealed no interaction between cortical arousal and the learning condition (background music vs. silence). Instead, we found an unexpected main effect of cortical arousal in the beta band on recall, indicating that individuals with high beta power learned more vocabulary than those with low beta power. To substantiate this finding we conducted an exact replication of the experiment. Whereas the main effect of cortical arousal was only present in a subsample of participants, a beneficial main effect of background music appeared. A combined analysis of both experiments suggests that beta power predicts the performance in the word recall task, but that there is no effect of background music on foreign vocabulary learning. In light of these findings, we discuss whether searching for effects of background music on foreign vocabulary learning, independent of factors such as inter-individual differences and task complexity, might be a red herring. Importantly, our findings emphasize the need for sufficiently powered research designs and exact replications of theory-driven experiments when investigating effects of background music and inter-individual variation on task performance. PMID:27537520

Diversity of Students' background as a source for improving teaching Physics at a Liberal Arts Institution

NASA Astrophysics Data System (ADS)

Agrest, Mikhail

2001-11-01

Presented work is dedicated to improvement of teaching-learning process and classroom time utilization. What should students carry with them from the classroom? Enthusiasm of their teacher, understanding of the basic concepts, understanding of what they should work on at home and, of course, some notes Teaching materials, which relate concepts of Physics to each other and to a variety of concepts in other areas of knowledge and human activity were developed. This approach is based on my experience of interacting with students with diversity of backgrounds, educational goals and objectives. Those include Business and Politics, Literature and Media, everyday family and College life, etc. A supplement workbook based on teaching materials was developed to be available for students to make notes during the lectures. This method was tested in Introductory Physics classes at the College of Charleston during some past years. The teaching-learning effectiveness has been increased and positive feedback was received from students and faculty at the College and some other Universities.

The effects of concept and vee mappings under three learning modes on Jamaican eighth graders' knowledge of nutrition and plant reproduction

NASA Astrophysics Data System (ADS)

Ugwu, Okechukwu; Soyibo, Kola

2004-01-01

The first objective of this study was to investigate if the experimental students' post-test knowledge of nutrition and plant reproduction would be improved more significantly than that of their control group counterparts based on their treatment, attitudes to science, self-esteem, gender and socio-economic background. Treatment involved teaching the experimental students under three learning modes--pure cooperative, cooperative-competitive and individualistic whole class interpersonal competitive condition--using concept and vee mappings and the lecture method. The control groups received the same treatment but were not exposed to concept and vee mappings. This study's second objective was to determine which of the three learning modes would produce the highest post-test mean gain in the subjects' knowledge of the two biology concepts. The study's sample comprised 932 eighth graders (12-13-year-olds) in 14 co-educational comprehensive high schools randomly selected from two Jamaican parishes. An integrated science performance test, an attitudes to science questionnaire and a self-esteem questionnaire were used to collect data. The results indicated that the experimental students (a) under the three learning modes, (b) with high, moderate, and low attitudes to science, and (c) with high, moderate, and low self-esteem, performed significantly better than their control group counterparts. The individualist whole class learning mode engendered the highest mean gain on the experimental students' knowledge, while the cooperative-competitive learning mode generated the highest mean gain for the control group students.

An evidence-based elective on dietary supplements.

PubMed

Bonafede, Machaon; Caron, Whitney; Zeolla, Mario

2009-08-28

To implement and evaluate the effectiveness of a pharmacy elective on dietary supplements that emphasized evidence-based care. A 3-credit elective that employed both traditional lectures and a variety of active-learning exercises was implemented. The course introduction provided a background in dietary supplement use and evidence-based medicine principles before addressing dietary supplements by primary indication. Student learning was assessed through quizzes, case assignments, discussion board participation, and completion of a longitudinal group project. Precourse and postcourse surveys were conducted to assess students' opinions, knowledge, and skills related to course objectives. The course was an effective way to increase students' knowledge of dietary supplements and skills and confidence in providing patient care in this area.

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

Systematic evaluation of deep learning based detection frameworks for aerial imagery

NASA Astrophysics Data System (ADS)

Sommer, Lars; Steinmann, Lucas; Schumann, Arne; Beyerer, Jürgen

2018-04-01

Object detection in aerial imagery is crucial for many applications in the civil and military domain. In recent years, deep learning based object detection frameworks significantly outperformed conventional approaches based on hand-crafted features on several datasets. However, these detection frameworks are generally designed and optimized for common benchmark datasets, which considerably differ from aerial imagery especially in object sizes. As already demonstrated for Faster R-CNN, several adaptations are necessary to account for these differences. In this work, we adapt several state-of-the-art detection frameworks including Faster R-CNN, R-FCN, and Single Shot MultiBox Detector (SSD) to aerial imagery. We discuss adaptations that mainly improve the detection accuracy of all frameworks in detail. As the output of deeper convolutional layers comprise more semantic information, these layers are generally used in detection frameworks as feature map to locate and classify objects. However, the resolution of these feature maps is insufficient for handling small object instances, which results in an inaccurate localization or incorrect classification of small objects. Furthermore, state-of-the-art detection frameworks perform bounding box regression to predict the exact object location. Therefore, so called anchor or default boxes are used as reference. We demonstrate how an appropriate choice of anchor box sizes can considerably improve detection performance. Furthermore, we evaluate the impact of the performed adaptations on two publicly available datasets to account for various ground sampling distances or differing backgrounds. The presented adaptations can be used as guideline for further datasets or detection frameworks.

Lifelong learning strategies in nursing: A systematic review

PubMed Central

Qalehsari, Mojtaba Qanbari; Khaghanizadeh, Morteza; Ebadi, Abbas

2017-01-01

Background Lifelong learning is an expectation in the professional performance of nurses, which is directly related to the success of students in nursing schools. In spite of the considerable attention paid to this issue, lifelong learning strategies are not fully understood. Objective The aim of this study was to clarify lifelong learning strategies of nursing students with respect to international experience. Methods In this systematic review, an extensive investigation was carried out using Persian and English studies in Pub Med, ProQuest, Cochrane, Ovid, Scopus, Web of Science, SID, and Iran Doc using the following keywords: lifelong learning, self-directed learning, lifelong learning model, continuing education, nursing education, and lifelong program. Finally, 22 articles published from 1994 to 2016 were selected for the final analysis. Data extracted from the selected articles was summarized and classified based on the research questions. Results In this study, 8 main themes, namely intellectual and practical independence, collaborative (cooperative) learning, researcher thinking, persistence in learning, need-based learning, learning management, suitable learning environment, and inclusive growth, were extracted from the article data. Conclusion Having identified and clarified lifelong learning strategies in nursing, it is recommended to use the research findings in the programs and teaching systems of nursing schools. Use of strategies of lifelong learning will led to increased quality of education, development of nursing competency and finally, increased quality of patient care. PMID:29238496

Assessing recall, conceptualization, and transfer capabilities of novice biochemistry students' across learning style preferences as revealed by self-explanations

NASA Astrophysics Data System (ADS)

Hilsenbeck-Fajardo, Jacqueline L.

2009-08-01

The research described herein is a multi-dimensional attempt to measure student's abilities to recall, conceptualize, and transfer fundamental and dynamic protein structure concepts as revealed by their own diagrammatic (pictorial) representations and written self-explanations. A total of 120 participants enrolled in a 'Fundamentals of Biochemistry' course contributed to this mixed-methodological study. The population of interest consisted primarily of pre-nursing and sport and exercise science majors. This course is typically associated with a high (<30%) combined drop/failure rate, thus the course provided the researcher with an ideal context in which to apply novel transfer assessment strategies. In the past, students within this population have reported very little chemistry background. In the following study, student-generated diagrammatic representations and written explanations were coded thematically using a highly objective rubric that was designed specifically for this study. Responses provided by the students were characterized on the macroscopic, microscopic, molecular-level, and integrated scales. Recall knowledge gain (i.e., knowledge that was gained through multiple-choice questioning techniques) was quantitatively correlated to learning style preferences (i.e., high-object, low-object, and non-object). Quantitative measures revealed that participants tended toward an object (i.e., snapshot) -based visualization preference, a potentially limiting factor in their desire to consider dynamic properties of fundamental biochemical contexts such as heat-induced protein denaturation. When knowledge transfer was carefully assessed within the predefined context, numerous misconceptions pertaining to the fundamental and dynamic nature of protein structure were revealed. Misconceptions tended to increase as the transfer model shifted away from the context presented in the original learning material. Ultimately, a fundamentally new, novel, and unique measure of knowledge transfer was developed as a main result of this study. It is envisioned by the researcher that this new measure of learning is applicable specifically to physical and chemical science education-based research in the form of deep transfer on the atomic-level scale.

E-learning in Saudi Arabia: ‘To E or not to E, that is the question’

PubMed Central

Al-Shehri, Ali M.

2010-01-01

Background: The Kingdom of Saudi Arabia (KSA) has witnessed unprecedented growth in higher education and E-learning in recent times. In the last five years, one university and five colleges have been commissioned every month; 800 scholarships have been awarded every month for overseas study; a national center for E-learning has been established; and E-units or departments have been set-up in almost every university. E-learning has become important for discussion to quote Shakespeare ‘To E or not to E that is the question.’ Objectives: To examine current and future developments and challenges of E-learning in KSA. Materials and Methods: A qualitative approach was used to explore views of 30 senior academicians involved in E-learning during their attendance at a two-week course on the subject. Results: All participants considered themselves as decision makers on E-learning in their units or departments. They felt that E-learning had come to stay, but acknowledged challenges in respect of resources, organization, management, and information technology. Conclusion: The fast development of E-learning poses many challenges. Clear vision and strategic planning with prospective E-learners in mind are essential to make E-learning programs cost effective. PMID:21359026

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.)

Real-time human versus animal classification using pyro-electric sensor array and Hidden Markov Model

NASA Astrophysics Data System (ADS)

Hossen, Jakir; Jacobs, Eddie L.; Chari, Srikant

2014-03-01

In this paper, we propose a real-time human versus animal classification technique using a pyro-electric sensor array and Hidden Markov Model. The technique starts with the variational energy functional level set segmentation technique to separate the object from background. After segmentation, we convert the segmented object to a signal by considering column-wise pixel values and then finding the wavelet coefficients of the signal. HMMs are trained to statistically model the wavelet features of individuals through an expectation-maximization learning process. Human versus animal classifications are made by evaluating a set of new wavelet feature data against the trained HMMs using the maximum-likelihood criterion. Human and animal data acquired-using a pyro-electric sensor in different terrains are used for performance evaluation of the algorithms. Failures of the computationally effective SURF feature based approach that we develop in our previous research are because of distorted images produced when the object runs very fast or if the temperature difference between target and background is not sufficient to accurately profile the object. We show that wavelet based HMMs work well for handling some of the distorted profiles in the data set. Further, HMM achieves improved classification rate over the SURF algorithm with almost the same computational time.

Using Deep Learning Algorithm to Enhance Image-review Software for Surveillance Cameras

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

Cui, Yonggang; Thomas, Maikael A.

We propose the development of proven deep learning algorithms to flag objects and events of interest in Next Generation Surveillance System (NGSS) surveillance to make IAEA image review more efficient. Video surveillance is one of the core monitoring technologies used by the IAEA Department of Safeguards when implementing safeguards at nuclear facilities worldwide. The current image review software GARS has limited automated functions, such as scene-change detection, black image detection and missing scene analysis, but struggles with highly cluttered backgrounds. A cutting-edge algorithm to be developed in this project will enable efficient and effective searches in images and video streamsmore » by identifying and tracking safeguards relevant objects and detect anomalies in their vicinity. In this project, we will develop the algorithm, test it with the IAEA surveillance cameras and data sets collected at simulated nuclear facilities at BNL and SNL, and implement it in a software program for potential integration into the IAEA’s IRAP (Integrated Review and Analysis Program).« less

Let the Music Play!--A Short-Term but No Long-Term Detrimental Effect of Vocal Background Music with Familiar Language Lyrics on Foreign Language Vocabulary Learning

ERIC Educational Resources Information Center

de Groot, Annette M. B.; Smedinga, Hilde E.

2014-01-01

Participants learned foreign vocabulary by means of the paired-associates learning procedure in three conditions: (a) in silence, (b) with vocal music with lyrics in a familiar language playing in the background, or (c) with vocal music with lyrics in an unfamiliar language playing in the background. The vocabulary to learn varied in concreteness…

Learning in Complex Environments: The Effects of Background Speech on Early Word Learning

ERIC Educational Resources Information Center

McMillan, Brianna T. M.; Saffran, Jenny R.

2016-01-01

Although most studies of language learning take place in quiet laboratory settings, everyday language learning occurs under noisy conditions. The current research investigated the effects of background speech on word learning. Both younger (22- to 24-month-olds; n = 40) and older (28- to 30-month-olds; n = 40) toddlers successfully learned novel…

Objective structured brainstorming questions (OSBQs) in PBL tutorial sessions: Evidence based pilot study

PubMed Central

AlHoqail, Ibrahim A.; Badr, Fouad M.

2010-01-01

The fact that faculty tutors do have different backgrounds and specialty has been a concern as a factor that contributes to disparity in the delivery of brainstorming session outcomes. This paper aims to introduce a road map in the form of a set of focused objective structured questions (OSBQs) for tutors to follow in brainstorming. Methods Objectively structured questions were generated by the block planning committees. A pilot study was conducted from February 2008 – March 2009 and included groups (44 students) of second and third year undergraduate students of the Faculty of Medicine, King Fahad Medical City. Four indicators were considered to check the validity of the proposed OSBQs; (i) feed back on the perception of medical students experiencing different types of tutorial sessions, (ii) learning objectives achieved under both systems, (iii) student’s performance under the OSBQs and the unguided tutorials and (iv) proper utilization of the time allocated to brainstorming sessions. Results The student’s perception of their satisfaction of implementation of OSBQs was unanimous. Student’s performances were much better in blocks implementing OSBQs. The time allocated for brainstorming sessions was efficiently utilized with the introduction of OSBQs. Conclusion Implementation of OSBQs leads to standardization of tutorial sessions and allows more interaction between students to achieve their learning objectives and score better in their exams. Concern over the role of tutors will diminish. PMID:21475549

Objective structured brainstorming questions (OSBQs) in PBL tutorial sessions: Evidence based pilot study.

PubMed

Alhoqail, Ibrahim A; Badr, Fouad M

2010-11-01

The fact that faculty tutors do have different backgrounds and specialty has been a concern as a factor that contributes to disparity in the delivery of brainstorming session outcomes. This paper aims to introduce a road map in the form of a set of focused objective structured questions (OSBQs) for tutors to follow in brainstorming. Objectively structured questions were generated by the block planning committees. A pilot study was conducted from February 2008 - March 2009 and included groups (44 students) of second and third year undergraduate students of the Faculty of Medicine, King Fahad Medical City. Four indicators were considered to check the validity of the proposed OSBQs; (i) feed back on the perception of medical students experiencing different types of tutorial sessions, (ii) learning objectives achieved under both systems, (iii) student's performance under the OSBQs and the unguided tutorials and (iv) proper utilization of the time allocated to brainstorming sessions. The student's perception of their satisfaction of implementation of OSBQs was unanimous. Student's performances were much better in blocks implementing OSBQs. The time allocated for brainstorming sessions was efficiently utilized with the introduction of OSBQs. Implementation of OSBQs leads to standardization of tutorial sessions and allows more interaction between students to achieve their learning objectives and score better in their exams. Concern over the role of tutors will diminish.

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

More Efficient e-Learning through Design: Color of Text and Background

ERIC Educational Resources Information Center

Zufic, Janko; Kalpic, Damir

2009-01-01

Background: The area of research aimed for a more efficient e-learning is slowly widening from purely technical to the areas of psychology, didactics and methodology. The question is whether the text or background color influence the efficiency of memory, i.e. learning. If the answer to that question is positive, then another question arises which…

How Native Prosody Affects Pitch Processing during Word Learning in Limburgian and Dutch Toddlers and Adults

PubMed Central

Ramachers, Stefanie; Brouwer, Susanne; Fikkert, Paula

2017-01-01

In this study, Limburgian and Dutch 2.5- to 4-year-olds and adults took part in a word learning experiment. Following the procedure employed by Quam and Swingley (2010) and Singh et al. (2014), participants learned two novel word-object mappings. After training, word recognition was tested in correct pronunciation (CP) trials and mispronunciation (MP) trials featuring a pitch change. Since Limburgian is considered a restricted tone language, we expected that the pitch change would hinder word recognition in Limburgian, but not in non-tonal Dutch listeners. Contrary to our expectations, both Limburgian and Dutch children appeared to be sensitive to pitch changes in newly learned words, indicated by a significant decrease in target fixation in MP trials compared to CP trials. Limburgian and Dutch adults showed very strong naming effects in both trial types. The results are discussed against the background of the influence of the native prosodic system. PMID:29018382

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

Pregnancy and Parenting Support for Incarcerated Women: Lessons Learned

PubMed Central

Shlafer, Rebecca J.; Gerrity, Erica; Duwe, Grant

2017-01-01

Background There are more than 200,000 incarcerated women in U.S. prisons and jails, and it is estimated that 6% to 10% are pregnant. Pregnant incarcerated women experience complex risks that can compromise their health and the health of their offspring. Objectives Identify lessons learned from a community–university pilot study of a prison-based pregnancy and parenting support program. Methods A community–university–corrections partnership was formed to provide education and support to pregnant incarcerated women through a prison-based pilot program. Evaluation data assessed women’s physical and mental health concerns and satisfaction with the program. Between October 2011 and December 2012, 48 women participated. Lessons Learned We learned that providing services for pregnant incarcerated women requires an effective partnership with the Department of Corrections, adaptations to traditional community-based participatory research (CBPR) approaches, and resources that support both direct service and ongoing evaluation. Conclusions Effective services for pregnant incarcerated women can be provided through a successful community– university–corrections partnership. PMID:26548788

Cognitive Learning Styles of EFL Students

ERIC Educational Resources Information Center

Srichanyachon, Napaporn

2011-01-01

This study aimed to study cognitive learning styles of EFL students, compare language learning styles among students categorized by their background, and investigate the relationship between English background knowledge and language learning styles. The samples were 210 undergraduate students enrolled in Fundamental English course at Bangkok…

Introducing Seismic Tomography with Computational Modeling

NASA Astrophysics Data System (ADS)

Neves, R.; Neves, M. L.; Teodoro, V.

2011-12-01

Learning seismic tomography principles and techniques involves advanced physical and computational knowledge. In depth learning of such computational skills is a difficult cognitive process that requires a strong background in physics, mathematics and computer programming. The corresponding learning environments and pedagogic methodologies should then involve sets of computational modelling activities with computer software systems which allow students the possibility to improve their mathematical or programming knowledge and simultaneously focus on the learning of seismic wave propagation and inverse theory. To reduce the level of cognitive opacity associated with mathematical or programming knowledge, several computer modelling systems have already been developed (Neves & Teodoro, 2010). Among such systems, Modellus is particularly well suited to achieve this goal because it is a domain general environment for explorative and expressive modelling with the following main advantages: 1) an easy and intuitive creation of mathematical models using just standard mathematical notation; 2) the simultaneous exploration of images, tables, graphs and object animations; 3) the attribution of mathematical properties expressed in the models to animated objects; and finally 4) the computation and display of mathematical quantities obtained from the analysis of images and graphs. Here we describe virtual simulations and educational exercises which enable students an easy grasp of the fundamental of seismic tomography. The simulations make the lecture more interactive and allow students the possibility to overcome their lack of advanced mathematical or programming knowledge and focus on the learning of seismological concepts and processes taking advantage of basic scientific computation methods and tools.

A Quasi Experiment to Determine the Effectiveness of a “Partially Flipped” versus “Fully Flipped” Undergraduate Class in Genetics and Evolution

PubMed Central

Adams, Alison E. M.; Garcia, Jocelyn; Traustadóttir, Tinna

2016-01-01

Two sections of Genetics and Evolution were taught by one instructor. One group (the fully flipped section) had the entire class period devoted to active learning (with background material that had to be watched before class), and the other group (the partially flipped section) had just a portion of class time spent on active learning (with the background material presented during class time). The same materials and assessments were used for both sections. Analysis of objective measures revealed that there was no significant difference between the learning outcomes of students in the two sections. There was no main effect of gender, major, or ethnicity on success in the whole cohort or in either section. There appeared to be a significant main effect of class standing, with freshmen performing significantly less well than sophomores, juniors, or seniors (who all performed equally well) in both sections (p < 0.01); however, this was a very preliminary observation, as there were very few freshmen in either section. The only predictor of success in the two sections was prior grade point average. An anonymous end-of-semester survey showed no significant difference between the two sections in interest in the subject matter. PMID:27174581

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

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

Learning to Link Visual Contours

PubMed Central

Li, Wu; Piëch, Valentin; Gilbert, Charles D.

2008-01-01

SUMMARY In complex visual scenes, linking related contour elements is important for object recognition. This process, thought to be stimulus driven and hard wired, has substrates in primary visual cortex (V1). Here, however, we find contour integration in V1 to depend strongly on perceptual learning and top-down influences that are specific to contour detection. In naive monkeys the information about contours embedded in complex backgrounds is absent in V1 neuronal responses, and is independent of the locus of spatial attention. Training animals to find embedded contours induces strong contour-related responses specific to the trained retinotopic region. These responses are most robust when animals perform the contour detection task, but disappear under anesthesia. Our findings suggest that top-down influences dynamically adapt neural circuits according to specific perceptual tasks. This may serve as a general neuronal mechanism of perceptual learning, and reflect top-down mediated changes in cortical states. PMID:18255036

Simulation Training: Evaluating the Instructor’s Contribution to a Wizard of Oz Simulator in Obstetrics and Gynecology Ultrasound Training

PubMed Central

Tepper, Ronnie

2017-01-01

Background Workplaces today demand graduates who are prepared with field-specific knowledge, advanced social skills, problem-solving skills, and integration capabilities. Meeting these goals with didactic learning (DL) is becoming increasingly difficult. Enhanced training methods that would better prepare tomorrow’s graduates must be more engaging and game-like, such as feedback based e-learning or simulation-based training, while saving time. Empirical evidence regarding the effectiveness of advanced learning methods is lacking. Objective quantitative research comparing advanced training methods with DL is sparse. Objectives This quantitative study assessed the effectiveness of a computerized interactive simulator coupled with an instructor who monitored students’ progress and provided Web-based immediate feedback. Methods A low-cost, globally accessible, telemedicine simulator, developed at the Technion—Israel Institute of Technology, Haifa, Israel—was used. A previous study in the field of interventional cardiology, evaluating the efficacy of the simulator to enhanced learning via knowledge exams, presented promising results of average scores varying from 94% after training and 54% before training (n=20) with P<.001. Two independent experiments involving obstetrics and gynecology (Ob-Gyn) physicians and senior ultrasound sonographers, with 32 subjects, were conducted using a new interactive concept of the WOZ (Wizard of OZ) simulator platform. The contribution of an instructor to learning outcomes was evaluated by comparing students’ knowledge before and after each interactive instructor-led session as well as after fully automated e-learning in the field of Ob-Gyn. Results from objective knowledge tests were analyzed using hypothesis testing and model fitting. Results A significant advantage (P=.01) was found in favor of the WOZ training approach. Content type and training audience were not significant. Conclusions This study evaluated the contribution of an integrated teaching environment using a computerized interactive simulator, with an instructor providing immediate Web-based immediate feedback to trainees. Involvement of an instructor in the simulation-based training process provided better learning outcomes that varied training content and trainee populations did not affect the overall learning gains. PMID:28432039

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)…

Design of training programs for a positive youth development program: Project P.A.T.H.S. in Hong Kong.

PubMed

Shek, Daniel T L; Chak, Yammy L Y

2010-01-01

To facilitate the implementation of the Secondary 1 to Secondary 3 program of the Project P.A.T.H.S. in Hong Kong, systematic training programs are designed for the potential program implementers. The rationales, objectives and design of the Secondary 1 to Secondary 3 training programs are outlined in this paper. The training programs cover theories of adolescent development, positive youth development, background and curricula of the Project P.A.T.H.S., factors affecting program implementation quality and evaluation of the project. Besides introducing the curriculum units, the training programs also focus on nature of learning and related theories (particularly experiential learning), teaching methods and instructional techniques, motivating students, and classroom management.

Stimulation of the human medial temporal lobe between learning and recall selectively enhances forgetting

PubMed Central

Merkow, Maxwell B.; Burke, John F.; Ramayya, Ashwin G.; Sharan, Ashwini D.; Sperling, Michael R.; Kahana, Michael J.

2017-01-01

Background Direct electrical stimulation applied to the human medial temporal lobe (MTL) typically disrupts performance on memory tasks, however, the mechanism underlying this effect is not known. Objective To study the effects of MTL stimulation on memory performance Methods We studied the effects of MTL stimulation on memory in five patients undergoing invasive electrocorticographic monitoring during various phases of a memory task (encoding, distractor, recall). Results We found that MTL stimulation disrupted memory performance in a timing-dependent manner; we observed greater forgetting when applying stimulation during the delay between encoding and recall, compared to when it was applied during encoding or recall. Conclusions The results suggest that recall is most dependent on the MTL between learning and retrieval. PMID:28073638

Comparing Local and International Chinese Students' English Language Learning Strategies

ERIC Educational Resources Information Center

Anthony, Margreat Aloysious; Ganesen, Sree Nithya

2012-01-01

According to Horwitz (1987) learners' belief about language learning are influenced by previous language learning experiences as well as cultural background. This study examined the English Language Learning Strategies between local and international Chinese students who share the same cultural background but have been exposed to different…

Content-Based VLE Designs Improve Learning Efficiency in Constructivist Statistics Education

PubMed Central

Wessa, Patrick; De Rycker, Antoon; Holliday, Ian Edward

2011-01-01

Background We introduced a series of computer-supported workshops in our undergraduate statistics courses, in the hope that it would help students to gain a deeper understanding of statistical concepts. This raised questions about the appropriate design of the Virtual Learning Environment (VLE) in which such an approach had to be implemented. Therefore, we investigated two competing software design models for VLEs. In the first system, all learning features were a function of the classical VLE. The second system was designed from the perspective that learning features should be a function of the course's core content (statistical analyses), which required us to develop a specific–purpose Statistical Learning Environment (SLE) based on Reproducible Computing and newly developed Peer Review (PR) technology. Objectives The main research question is whether the second VLE design improved learning efficiency as compared to the standard type of VLE design that is commonly used in education. As a secondary objective we provide empirical evidence about the usefulness of PR as a constructivist learning activity which supports non-rote learning. Finally, this paper illustrates that it is possible to introduce a constructivist learning approach in large student populations, based on adequately designed educational technology, without subsuming educational content to technological convenience. Methods Both VLE systems were tested within a two-year quasi-experiment based on a Reliable Nonequivalent Group Design. This approach allowed us to draw valid conclusions about the treatment effect of the changed VLE design, even though the systems were implemented in successive years. The methodological aspects about the experiment's internal validity are explained extensively. Results The effect of the design change is shown to have substantially increased the efficiency of constructivist, computer-assisted learning activities for all cohorts of the student population under investigation. The findings demonstrate that a content–based design outperforms the traditional VLE–based design. PMID:21998652

Altering conditions for student participation and motive development in school science: learning from Helena's mistake

NASA Astrophysics Data System (ADS)

Andrée, Maria

2012-06-01

Previous research on science education has described various factors influencing students' participation and produced categorizations of students based on e.g. cultural background. In this article it is argued, theoretically and empirically, that an understanding of students' participation in science education needs to begin with an analysis of what activity students are engaged in. The aim is to explore how altering conditions of classroom work may open up opportunities for students mainly participating in an activity of education or schooling to engage in an activity of science learning. Activity is conceptualized in a Cultural-Historical Activity Theory perspective as object-oriented and transformative. Drawing on an ethnographic study in a Swedish compulsory school, a critical incident of the participation in science education of a 7th grade girl called Helena is analyzed. The results show that altered conditions of classroom practice may produce new possibilities for student participation, and point to the impossibility of determining students as `different kinds of students' based on a priori categories e.g. sex, ethnicity, socio-economic background.

Automatic target recognition and detection in infrared imagery under cluttered background

NASA Astrophysics Data System (ADS)

Gundogdu, Erhan; Koç, Aykut; Alatan, A. Aydın.

2017-10-01

Visual object classification has long been studied in visible spectrum by utilizing conventional cameras. Since the labeled images has recently increased in number, it is possible to train deep Convolutional Neural Networks (CNN) with significant amount of parameters. As the infrared (IR) sensor technology has been improved during the last two decades, labeled images extracted from IR sensors have been started to be used for object detection and recognition tasks. We address the problem of infrared object recognition and detection by exploiting 15K images from the real-field with long-wave and mid-wave IR sensors. For feature learning, a stacked denoising autoencoder is trained in this IR dataset. To recognize the objects, the trained stacked denoising autoencoder is fine-tuned according to the binary classification loss of the target object. Once the training is completed, the test samples are propagated over the network, and the probability of the test sample belonging to a class is computed. Moreover, the trained classifier is utilized in a detect-by-classification method, where the classification is performed in a set of candidate object boxes and the maximum confidence score in a particular location is accepted as the score of the detected object. To decrease the computational complexity, the detection step at every frame is avoided by running an efficient correlation filter based tracker. The detection part is performed when the tracker confidence is below a pre-defined threshold. The experiments conducted on the real field images demonstrate that the proposed detection and tracking framework presents satisfactory results for detecting tanks under cluttered background.

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…

How Do Clinicians Learn About Knowledge Translation? An Investigation of Current Web-Based Learning Opportunities

PubMed Central

Tieman, Jennifer J

2017-01-01

Background Clinicians are important stakeholders in the translation of well-designed research evidence into clinical practice for optimal patient care. However, the application of knowledge translation (KT) theories and processes may present conceptual and practical challenges for clinicians. Online learning platforms are an effective means of delivering KT education, providing an interactive, time-efficient, and affordable alternative to face-to-face education programs. Objective This study investigates the availability and accessibility of online KT learning opportunities for health professionals. It also provides an analysis of the types of resources and associated disciplines retrieved by a range of KT synonyms. Methods We searched a range of bibliographic databases and the Internet (Google advanced option) using 9 KT terms to identify online KT learning resources. To be eligible, resources had to be free, aimed at clinicians, educational in intent, and interactive in design. Each term was searched using two different search engines. The details of the first 100 websites captured per browser (ie, n=200 results per term) were entered into EndNote. Each site was subsequently visited to determine its status as a learning resource. Eligible websites were appraised for quality using the AACODS (Authority, Accuracy, Coverage, Objectivity, Date, Significance) tool. Results We identified 971 unique websites via our multiple search strategies. Of these, 43 were health-related and educational in intent. Once these sites were evaluated for interactivity, a single website matched our inclusion criteria (Dementia Knowledge Translation Learning Centre). Conclusions KT is an important but complex system of processes. These processes overlap with knowledge, practice, and improvement processes that go by a range of different names. For clinicians to be informed and competent in KT, they require better access to free learning opportunities. These resources should be designed from the viewpoint of the clinician, presenting KT’s multifaceted theories and processes in an engaging, interactive way. This learning should empower clinicians to contextualize and apply KT strategies within their own care settings. PMID:28705788

Design of Mobile Augmented Reality in Health Care Education: A Theory-Driven Framework

PubMed Central

Lilienthal, Anneliese; Shluzas, Lauren Aquino; Masiello, Italo; Zary, Nabil

2015-01-01

Background Augmented reality (AR) is increasingly used across a range of subject areas in health care education as health care settings partner to bridge the gap between knowledge and practice. As the first contact with patients, general practitioners (GPs) are important in the battle against a global health threat, the spread of antibiotic resistance. AR has potential as a practical tool for GPs to combine learning and practice in the rational use of antibiotics. Objective This paper was driven by learning theory to develop a mobile augmented reality education (MARE) design framework. The primary goal of the framework is to guide the development of AR educational apps. This study focuses on (1) identifying suitable learning theories for guiding the design of AR education apps, (2) integrating learning outcomes and learning theories to support health care education through AR, and (3) applying the design framework in the context of improving GPs’ rational use of antibiotics. Methods The design framework was first constructed with the conceptual framework analysis method. Data were collected from multidisciplinary publications and reference materials and were analyzed with directed content analysis to identify key concepts and their relationships. Then the design framework was applied to a health care educational challenge. Results The proposed MARE framework consists of three hierarchical layers: the foundation, function, and outcome layers. Three learning theories—situated, experiential, and transformative learning—provide foundational support based on differing views of the relationships among learning, practice, and the environment. The function layer depends upon the learners’ personal paradigms and indicates how health care learning could be achieved with MARE. The outcome layer analyzes different learning abilities, from knowledge to the practice level, to clarify learning objectives and expectations and to avoid teaching pitched at the wrong level. Suggestions for learning activities and the requirements of the learning environment form the foundation for AR to fill the gap between learning outcomes and medical learners’ personal paradigms. With the design framework, the expected rational use of antibiotics by GPs is described and is easy to execute and evaluate. The comparison of specific expected abilities with the GP personal paradigm helps solidify the GP practical learning objectives and helps design the learning environment and activities. The learning environment and activities were supported by learning theories. Conclusions This paper describes a framework for guiding the design, development, and application of mobile AR for medical education in the health care setting. The framework is theory driven with an understanding of the characteristics of AR and specific medical disciplines toward helping medical education improve professional development from knowledge to practice. Future research will use the framework as a guide for developing AR apps in practice to validate and improve the design framework. PMID:27731839

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…

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…

Nurses' perceptions of personal attributes required when working with people with a learning disability and an offending background: a qualitative study.

PubMed

Lovell, A; Bailey, J

2017-02-01

WHAT IS KNOWN ON THE SUBJECT?: Learning disability nursing in the area of people with a learning disability and an offending background has developed considerably over recent years, particularly since the publication of the Bradley (). There has been limited work into the competencies nurses require to work in this area, and even less about the personal attributes of learning disability nurses. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: Learning disability nursing's specific contribution to the care of this population lies in their knowledge of the interaction between the learning disability, an individual's, sometimes abusive, personal history and an understanding of the subsequent offending behaviour. The knowledge base of nurses working with people with learning disabilities and an offending background needs to reflect the changing service user group. This is particularly in relation to substance misuse, borderline personality disorder, and mental health and the way such factors inter-relate with the learning disability. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Further research is required into the relationship among decision making, risk taking or reluctance to do this, and the personal attributes required by nurses to work in secure learning disability care. Learning disability secure services are likely to continue to undergo change as circumstances alter and the offending population demonstrate greater complexity; nursing competencies and personal attributes need similarly to adapt to such changes. Mental health nursing has a great deal to contribute to effective working with this population, specifically with regard to developing strong relationships when concerns around borderline personality disorder or substance misuse are particularly in evidence. Aim To identify and discuss the personal attributes required by learning disability nurses to work effectively with people with an offending background in secure and community settings. Background This study was part of a larger research investigation into the nursing competencies required to work with people with an offending background. There are few existing studies examining the personal attributes necessary for working with this group. Design A qualitative study addressing the perceptions of nurses around the personal attributes required to work with people with learning disabilities and an offending background. Methods A semi-structured interview schedule was devised and constructed, and 39 individual interviews were subsequently undertaken with learning disability nurses working in high, medium, low secure and community settings. Data were collected over 1 year in 2010/11 and analysed using a structured thematic analysis supported by the software package MAXqda. Findings The thematic analysis produced three categories of personal attributes, named as looking deeper, achieving balance and connecting, each of which contained a further three sub-categories. Conclusion Nursing of those with a learning disability and an offending background continues to develop. The interplay among personal history, additional background factors, nurses' personal attributes and learning disability is critical for effective relationship building. © 2016 John Wiley & Sons Ltd.

Overall Memory Impairment Identification with Mathematical Modeling of the CVLT-II Learning Curve in Multiple Sclerosis

PubMed Central

Stepanov, Igor I.; Abramson, Charles I.; Hoogs, Marietta; Benedict, Ralph H. B.

2012-01-01

The CVLT-II provides standardized scores for each of the List A five learning trials, so that the clinician can compare the patient's raw trials 1–5 scores with standardized ones. However, frequently, a patient's raw scores fluctuate making a proper interpretation difficult. The CVLT-II does not offer any other methods for classifying a patient's learning and memory status on the background of the learning curve. The main objective of this research is to illustrate that discriminant analysis provides an accurate assessment of the learning curve, if suitable predictor variables are selected. Normal controls were ninety-eight healthy volunteers (78 females and 20 males). A group of MS patients included 365 patients (266 females and 99 males) with clinically defined multiple sclerosis. We show that the best predictor variables are coefficients B3 and B4 of our mathematical model B3 ∗ exp(−B2  ∗  (X − 1)) + B4  ∗  (1 − exp(−B2  ∗  (X − 1))) because discriminant functions, calculated separately for B3 and B4, allow nearly 100% correct classification. These predictors allow identification of separate impairment of readiness to learn or ability to learn, or both. PMID:22745911

Overall Memory Impairment Identification with Mathematical Modeling of the CVLT-II Learning Curve in Multiple Sclerosis.

PubMed

Stepanov, Igor I; Abramson, Charles I; Hoogs, Marietta; Benedict, Ralph H B

2012-01-01

The CVLT-II provides standardized scores for each of the List A five learning trials, so that the clinician can compare the patient's raw trials 1-5 scores with standardized ones. However, frequently, a patient's raw scores fluctuate making a proper interpretation difficult. The CVLT-II does not offer any other methods for classifying a patient's learning and memory status on the background of the learning curve. The main objective of this research is to illustrate that discriminant analysis provides an accurate assessment of the learning curve, if suitable predictor variables are selected. Normal controls were ninety-eight healthy volunteers (78 females and 20 males). A group of MS patients included 365 patients (266 females and 99 males) with clinically defined multiple sclerosis. We show that the best predictor variables are coefficients B3 and B4 of our mathematical model B3 ∗ exp(-B2  ∗  (X - 1)) + B4  ∗  (1 - exp(-B2  ∗  (X - 1))) because discriminant functions, calculated separately for B3 and B4, allow nearly 100% correct classification. These predictors allow identification of separate impairment of readiness to learn or ability to learn, or both.

Robust low-dose dynamic cerebral perfusion CT image restoration via coupled dictionary learning scheme.

PubMed

Tian, Xiumei; Zeng, Dong; Zhang, Shanli; Huang, Jing; Zhang, Hua; He, Ji; Lu, Lijun; Xi, Weiwen; Ma, Jianhua; Bian, Zhaoying

2016-11-22

Dynamic cerebral perfusion x-ray computed tomography (PCT) imaging has been advocated to quantitatively and qualitatively assess hemodynamic parameters in the diagnosis of acute stroke or chronic cerebrovascular diseases. However, the associated radiation dose is a significant concern to patients due to its dynamic scan protocol. To address this issue, in this paper we propose an image restoration method by utilizing coupled dictionary learning (CDL) scheme to yield clinically acceptable PCT images with low-dose data acquisition. Specifically, in the present CDL scheme, the 2D background information from the average of the baseline time frames of low-dose unenhanced CT images and the 3D enhancement information from normal-dose sequential cerebral PCT images are exploited to train the dictionary atoms respectively. After getting the two trained dictionaries, we couple them to represent the desired PCT images as spatio-temporal prior in objective function construction. Finally, the low-dose dynamic cerebral PCT images are restored by using a general DL image processing. To get a robust solution, the objective function is solved by using a modified dictionary learning based image restoration algorithm. The experimental results on clinical data show that the present method can yield more accurate kinetic enhanced details and diagnostic hemodynamic parameter maps than the state-of-the-art methods.

X-Ray Emission from "Uranium" Stars

NASA Technical Reports Server (NTRS)

Schlegel, Eric; Mushotzky, Richard (Technical Monitor)

2005-01-01

The project aims to secure XMM observations of two targets with extremely low abundances of the majority of heavy elements (e.g., log[Fe/H] $\\sim$-4), but that show absorption lines of uranium. The presence of an r-process element such as uranium requires a binary star system in which the companion underwent a supernova explosion. A binary star system raises the distinct possibility of the existence of a compact object, most likely a neutron star, in the binary, assuming it survived the supernova blast. The presence of a compact object then suggests X-ray emission if sufficient matter accretes to the compact object. The observations were completed less than one year ago following a series of reobservations to correct for significant flaring that occurred during the original observations. The ROSAT all-sky survey was used to report on the initial assessment of X-ray emission from these objects; only upper limits were reported. These upper limits were used to justify the XMM observing time, but with the expectation that upper limits would merely be pushed lower. The data analysis hinges critically on the quality and degree of precision with which the background is handled. During the past year, I have spent some time learning the ins and outs of XMM data analysis. In the coming year, I can apply that learning to the analysis of the 'uranium' stars.

Development and Assessment of an E-learning Course on Pediatric Cardiology Basics

PubMed Central

2017-01-01

Background Early detection of congenital heart disease is a worldwide problem. This is more critical in developing countries, where shortage of professional specialists and structural health care problems are a constant. E-learning has the potential to improve capacity, by overcoming distance barriers and by its ability to adapt to the reduced time of health professionals. Objective The study aimed to develop an e-learning pediatric cardiology basics course and evaluate its pedagogical impact and user satisfaction. Methods The sample consisted of 62 health professionals, including doctors, nurses, and medical students, from 20 hospitals linked via a telemedicine network in Northeast Brazil. The course was developed using Moodle (Modular Object Oriented Dynamic Learning Environment; Moodle Pty Ltd, Perth, Australia) and contents adapted from a book on this topic. Pedagogical impact evaluation used a pre and posttest approach. User satisfaction was evaluated using Wang’s questionnaire. Results Pedagogical impact results revealed differences in knowledge assessment before and after the course (Z=−4.788; P<.001). Questionnaire results indicated high satisfaction values (Mean=87%; SD=12%; minimum=67%; maximum=100%). Course adherence was high (79%); however, the withdrawal exhibited a value of 39%, with the highest rate in the early chapters. Knowledge gain revealed significant differences according to the profession (X22=8.6; P=.01) and specialty (X22=8.4; P=.04). Time dedication to the course was significantly different between specialties (X22=8.2; P=.04). Conclusions The main contributions of this study are the creation of an asynchronous e-learning course on Moodle and the evaluation of its impact, confirming that e-learning is a viable tool to improve training in neonatal congenital heart diseases. PMID:28490416

Impact of a Resident-as-Teacher Workshop on Teaching Behavior of Interns and Learning Outcomes of Medical Students

PubMed Central

Hill, Andrew G.; Srinivasa, Sanket; Hawken, Susan J.; Barrow, Mark; Farrell, Susan E.; Hattie, John; Yu, Tzu-Chieh

2012-01-01

Background Residents and interns are recognized as important clinical teachers and mentors. Resident-as-teacher training programs are known to improve resident attitudes and perceptions toward teaching, as well as their theoretical knowledge, skills, and teaching behavior. The effect of resident-as-teacher programs on learning outcomes of medical students, however, remains unknown. An intervention cohort study was conducted to prospectively investigate the effects of a teacher-training workshop on teaching behavior of participating interns and on the clerkship learning outcomes of instructed fourth-year medical students. Methods The House Officer-as-Teacher Training Workshop was implemented in November 2009 over 1.5 days and attended by all 34 interns from one teaching hospital. Subsequently, between February and August 2010, 124 fourth-year medical students rated the observable teaching behavior of interns during 6-week general surgery clerkships at this intervention hospital as well as at 2 comparable hospitals serving as control sites. Ratings were collected using an anonymous 15-item Intern Clinical Teaching Effectiveness Instrument. Student achievement of clerkship learning outcomes during this period was evaluated using a validated and centralized objective structured clinical examination. Results Medical students completed 101 intern clinical teaching effectiveness instruments. Intern teaching behavior at the intervention hospital was found to be significantly more positive, compared with observed behavior at the control hospitals. Objective structured clinical examination results, however, did not demonstrate any significant intersite differences in student achievement of general surgery clerkship learning outcomes. Conclusions The House Officer-as-Teacher Training Workshop noticeably improved teaching behavior of surgical interns during general surgery clerkships. This improvement did not, however, translate into improved achievement of clerkship learning outcomes by medical students during the study period. PMID:23451304

Stacked Multilayer Self-Organizing Map for Background Modeling.

PubMed

Zhao, Zhenjie; Zhang, Xuebo; Fang, Yongchun

2015-09-01

In this paper, a new background modeling method called stacked multilayer self-organizing map background model (SMSOM-BM) is proposed, which presents several merits such as strong representative ability for complex scenarios, easy to use, and so on. In order to enhance the representative ability of the background model and make the parameters learned automatically, the recently developed idea of representative learning (or deep learning) is elegantly employed to extend the existing single-layer self-organizing map background model to a multilayer one (namely, the proposed SMSOM-BM). As a consequence, the SMSOM-BM gains several merits including strong representative ability to learn background model of challenging scenarios, and automatic determination for most network parameters. More specifically, every pixel is modeled by a SMSOM, and spatial consistency is considered at each layer. By introducing a novel over-layer filtering process, we can train the background model layer by layer in an efficient manner. Furthermore, for real-time performance consideration, we have implemented the proposed method using NVIDIA CUDA platform. Comparative experimental results show superior performance of the proposed approach.

An Unsupervised Deep Hyperspectral Anomaly Detector

PubMed Central

Ma, Ning; Peng, Yu; Wang, Shaojun

2018-01-01

Hyperspectral image (HSI) based detection has attracted considerable attention recently in agriculture, environmental protection and military applications as different wavelengths of light can be advantageously used to discriminate different types of objects. Unfortunately, estimating the background distribution and the detection of interesting local objects is not straightforward, and anomaly detectors may give false alarms. In this paper, a Deep Belief Network (DBN) based anomaly detector is proposed. The high-level features and reconstruction errors are learned through the network in a manner which is not affected by previous background distribution assumption. To reduce contamination by local anomalies, adaptive weights are constructed from reconstruction errors and statistical information. By using the code image which is generated during the inference of DBN and modified by adaptively updated weights, a local Euclidean distance between under test pixels and their neighboring pixels is used to determine the anomaly targets. Experimental results on synthetic and recorded HSI datasets show the performance of proposed method outperforms the classic global Reed-Xiaoli detector (RXD), local RX detector (LRXD) and the-state-of-the-art Collaborative Representation detector (CRD). PMID:29495410

Auditory-neurophysiological responses to speech during early childhood: Effects of background noise

PubMed Central

White-Schwoch, Travis; Davies, Evan C.; Thompson, Elaine C.; Carr, Kali Woodruff; Nicol, Trent; Bradlow, Ann R.; Kraus, Nina

2015-01-01

Early childhood is a critical period of auditory learning, during which children are constantly mapping sounds to meaning. But learning rarely occurs under ideal listening conditions—children are forced to listen against a relentless din. This background noise degrades the neural coding of these critical sounds, in turn interfering with auditory learning. Despite the importance of robust and reliable auditory processing during early childhood, little is known about the neurophysiology underlying speech processing in children so young. To better understand the physiological constraints these adverse listening scenarios impose on speech sound coding during early childhood, auditory-neurophysiological responses were elicited to a consonant-vowel syllable in quiet and background noise in a cohort of typically-developing preschoolers (ages 3–5 yr). Overall, responses were degraded in noise: they were smaller, less stable across trials, slower, and there was poorer coding of spectral content and the temporal envelope. These effects were exacerbated in response to the consonant transition relative to the vowel, suggesting that the neural coding of spectrotemporally-dynamic speech features is more tenuous in noise than the coding of static features—even in children this young. Neural coding of speech temporal fine structure, however, was more resilient to the addition of background noise than coding of temporal envelope information. Taken together, these results demonstrate that noise places a neurophysiological constraint on speech processing during early childhood by causing a breakdown in neural processing of speech acoustics. These results may explain why some listeners have inordinate difficulties understanding speech in noise. Speech-elicited auditory-neurophysiological responses offer objective insight into listening skills during early childhood by reflecting the integrity of neural coding in quiet and noise; this paper documents typical response properties in this age group. These normative metrics may be useful clinically to evaluate auditory processing difficulties during early childhood. PMID:26113025

Examining Curricular Integration Strategies To Optimize Learning Of The Anatomical Sciences

NASA Astrophysics Data System (ADS)

Lisk, Kristina Adriana Ayako

Background: Integration of basic and clinical science knowledge is essential to clinical practice. Although the importance of these two knowledge domains is well-recognized, successfully supporting the development of learners' integrated basic and clinical science knowledge, remains an educational challenge. In this dissertation, I examine curricular integration strategies to optimize learning of the anatomical sciences. Objectives: The studies were designed to achieve the following research aims: 1) to objectively identify clinically relevant content for an integrated musculoskeletal anatomy curriculum; 2) to examine the value of integrated anatomy and clinical science instruction compared to clinical science instruction alone on novices' diagnostic accuracy and diagnostic reasoning process; 3) to compare the effect of integrating and segregating anatomy and clinical science instruction along with a learning strategy (self-explanation) on novices' diagnostic accuracy. Methods: A modified Delphi was used to objectively select clinically relevant content for an integrated musculoskeletal anatomy curriculum. Two experimental studies were created to compare different instructional strategies to optimize learning of the curricular content. In both of these studies, novice learners were taught the clinical features of musculoskeletal pathologies using different learning approaches. Diagnostic performance was measured immediately after instruction and one-week later. Results: The results show that the Delphi method is an effective strategy to select clinically relevant content for integrated anatomy curricula. The findings also demonstrate that novices who were explicitly taught the clinical features of musculoskeletal diseases using causal basic science descriptions had superior diagnostic accuracy and a better understanding of the relative importance of key clinical features for disease categories. Conclusions: This research demonstrates how integration strategies can be applied at multiple levels of the curriculum. Further, this work shows the value of cognitive integration of anatomy and clinical science and it emphasizes the importance of purposefully linking the anatomical and clinical sciences in day-to-day teaching.

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.…

Elemental or contextual? It depends: individual difference in the hippocampal dependence of associative learning for a simple sensory stimulus

PubMed Central

Lee, Kyung J.; Park, Seong-Beom; Lee, Inah

2014-01-01

Learning theories categorize learning systems into elemental and contextual systems, the former being processed by non-hippocampal regions and the latter being processed in the hippocampus. A set of complex stimuli such as a visual background is often considered a contextual stimulus and simple sensory stimuli such as pure tone and light are considered elemental stimuli. However, this elemental-contextual categorization scheme has only been tested in limited behavioral paradigms and it is largely unknown whether it can be generalized across different learning situations. By requiring rats to respond differently to a common object in association with various types of sensory cues including contextual and elemental stimuli, we tested whether different types of elemental and contextual sensory stimuli depended on the hippocampus to different degrees. In most rats, a surrounding visual background and a tactile stimulus served as contextual (hippocampal dependent) and elemental (non-hippocampal dependent) stimuli, respectively. However, simple tone and light stimuli frequently used as elemental cues in traditional experiments required the hippocampus to varying degrees among rats. Specifically, one group of rats showed a normal contextual bias when both contextual and elemental cues were present. These rats effectively switched to using elemental cues when the hippocampus was inactivated. The other group showed a strong contextual bias (and hippocampal dependence) because these rats were not able to use elemental cues when the hippocampus was unavailable. It is possible that the latter group of rats might have interpreted the elemental cues (light and tone) as background stimuli and depended more on the hippocampus in associating the cues with choice responses. Although exact mechanisms underlying these individual variances are unclear, our findings recommend a caution for adopting a simple sensory stimulus as a non-hippocampal sensory cue only based on the literature. PMID:24982624

Background Knowledge in Learning-Based Relation Extraction

ERIC Educational Resources Information Center

Do, Quang Xuan

2012-01-01

In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…

Changes in performance over time while learning to use a myoelectric prosthesis

PubMed Central

2014-01-01

Background Training increases the functional use of an upper limb prosthesis, but little is known about how people learn to use their prosthesis. The aim of this study was to describe the changes in performance with an upper limb myoelectric prosthesis during practice. The results provide a basis to develop an evidence-based training program. Methods Thirty-one able-bodied participants took part in an experiment as well as thirty-one age- and gender-matched controls. Participants in the experimental condition, randomly assigned to one of four groups, practiced with a myoelectric simulator for five sessions in a two-weeks period. Group 1 practiced direct grasping, Group 2 practiced indirect grasping, Group 3 practiced fixating, and Group 4 practiced a combination of all three tasks. The Southampton Hand Assessment Procedure (SHAP) was assessed in a pretest, posttest, and two retention tests. Participants in the control condition performed SHAP two times, two weeks apart with no practice in between. Compressible objects were used in the grasping tasks. Changes in end-point kinematics, joint angles, and grip force control, the latter measured by magnitude of object compression, were examined. Results The experimental groups improved more on SHAP than the control group. Interestingly, the fixation group improved comparable to the other training groups on the SHAP. Improvement in global position of the prosthesis leveled off after three practice sessions, whereas learning to control grip force required more time. The indirect grasping group had the smallest object compression in the beginning and this did not change over time, whereas the direct grasping and the combination group had a decrease in compression over time. Moreover, the indirect grasping group had the smallest grasping time that did not vary over object rigidity, while for the other two groups the grasping time decreased with an increase in object rigidity. Conclusions A training program should spend more time on learning fine control aspects of the prosthetic hand during rehabilitation. Moreover, training should start with the indirect grasping task that has the best performance, which is probably due to the higher amount of useful information available from the sound hand. PMID:24568148

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.

Image Discrimination Models for Object Detection in Natural Backgrounds

NASA Technical Reports Server (NTRS)

Ahumada, A. J., Jr.

2000-01-01

This paper reviews work accomplished and in progress at NASA Ames relating to visual target detection. The focus is on image discrimination models, starting with Watson's pioneering development of a simple spatial model and progressing through this model's descendents and extensions. The application of image discrimination models to target detection will be described and results reviewed for Rohaly's vehicle target data and the Search 2 data. The paper concludes with a description of work we have done to model the process by which observers learn target templates and methods for elucidating those templates.

Fusing modeling techniques to support domain analysis for reuse opportunities identification

NASA Technical Reports Server (NTRS)

Hall, Susan Main; Mcguire, Eileen

1993-01-01

Functional modeling techniques or object-oriented graphical representations, which are more useful to someone trying to understand the general design or high level requirements of a system? For a recent domain analysis effort, the answer was a fusion of popular modeling techniques of both types. By using both functional and object-oriented techniques, the analysts involved were able to lean on their experience in function oriented software development, while taking advantage of the descriptive power available in object oriented models. In addition, a base of familiar modeling methods permitted the group of mostly new domain analysts to learn the details of the domain analysis process while producing a quality product. This paper describes the background of this project and then provides a high level definition of domain analysis. The majority of this paper focuses on the modeling method developed and utilized during this analysis effort.

Educational Technologies in Problem-Based Learning in Health Sciences Education: A Systematic Review

PubMed Central

Jin, Jun

2014-01-01

Background As a modern pedagogical philosophy, problem-based learning (PBL) is increasingly being recognized as a major research area in student learning and pedagogical innovation in health sciences education. A new area of research interest has been the role of emerging educational technologies in PBL. Although this field is growing, no systematic reviews of studies of the usage and effects of educational technologies in PBL in health sciences education have been conducted to date. Objective The aim of this paper is to review new and emerging educational technologies in problem-based curricula, with a specific focus on 3 cognate clinical disciplines: medicine, dentistry, and speech and hearing sciences. Analysis of the studies reviewed focused on the effects of educational technologies in PBL contexts while addressing the particular issue of scaffolding of student learning. Methods A comprehensive computerized database search of full-text articles published in English from 1996 to 2014 was carried out using 3 databases: ProQuest, Scopus, and EBSCOhost. Eligibility criteria for selection of studies for review were also determined in light of the population, intervention, comparison, and outcomes (PICO) guidelines. The population was limited to postsecondary education, specifically in dentistry, medicine, and speech and hearing sciences, in which PBL was the key educational pedagogy and curriculum design. Three types of educational technologies were identified as interventions used to support student inquiry: learning software and digital learning objects; interactive whiteboards (IWBs) and plasma screens; and learning management systems (LMSs). Results Of 470 studies, 28 were selected for analysis. Most studies examined the effects of learning software and digital learning objects (n=20) with integration of IWB (n=5) and LMS (n=3) for PBL receiving relatively less attention. The educational technologies examined in these studies were seen as potentially fit for problem-based health sciences education. Positive outcomes for student learning included providing rich, authentic problems and/or case contexts for learning; supporting student development of medical expertise through the accessing and structuring of expert knowledge and skills; making disciplinary thinking and strategies explicit; providing a platform to elicit articulation, collaboration, and reflection; and reducing perceived cognitive load. Limitations included cumbersome scenarios, infrastructure requirements, and the need for staff and student support in light of the technological demands of new affordances. Conclusions This literature review demonstrates the generally positive effect of educational technologies in PBL. Further research into the various applications of educational technology in PBL curricula is needed to fully realize its potential to enhance problem-based approaches in health sciences education. PMID:25498126

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…

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

PubMed Central

2016-01-01

Background As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data analysis, are mentioned more often in biomedical journals. However, owing to the inherent complexity of machine learning methods, they are prone to misuse. Because of the flexibility in specifying machine learning models, the results are often insufficiently reported in research articles, hindering reliable assessment of model validity and consistent interpretation of model outputs. Objective To attain a set of guidelines on the use of machine learning predictive models within clinical settings to make sure the models are correctly applied and sufficiently reported so that true discoveries can be distinguished from random coincidence. Methods A multidisciplinary panel of machine learning experts, clinicians, and traditional statisticians were interviewed, using an iterative process in accordance with the Delphi method. Results The process produced a set of guidelines that consists of (1) a list of reporting items to be included in a research article and (2) a set of practical sequential steps for developing predictive models. Conclusions A set of guidelines was generated to enable correct application of machine learning models and consistent reporting of model specifications and results in biomedical research. We believe that such guidelines will accelerate the adoption of big data analysis, particularly with machine learning methods, in the biomedical research community. PMID:27986644

A Case Study of the Experiences of Instructors and Students in a Virtual Learning Environment (VLE) with Different Cultural Backgrounds

ERIC Educational Resources Information Center

Lim, Keol; Kim, Mi Hwa

2015-01-01

The use of virtual learning environments (VLEs) has become more common and educators recognized the potential of VLEs as educational environments. The learning community in VLEs can be a mixture of people from all over the world with different cultural backgrounds. However, despite many studies about the use of virtual environments for learning,…

Understanding Learner Acceptance of Learning Objects: The Roles of Learning Object Characteristics and Individual Differences

ERIC Educational Resources Information Center

Lau, Siong-Hoe; Woods, Peter C.

2009-01-01

Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…

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.

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.

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

Brain-Compatible Learning: Principles and Applications in Athletic Training

PubMed Central

2003-01-01

Objective: To discuss the principles of brain-compatible learning research and provide insights into how this research may be applied in athletic training education to benefit the profession. Background: In the past decade, new brain-imaging techniques have allowed us to observe the brain while it is learning. The field of neuroscience has produced a body of empirical data that provides a new understanding of how we learn. This body of data has implications in education, although the direct study of these implications is in its infancy. Description: An overview of how the brain learns at a cellular level is provided, followed by a discussion of the principles of brain-compatible learning. Applications of these principles and implications for the field of athletic training education are also offered. Application: Many educational-reform fads have garnered attention in the past. Brain-compatible learning will not likely be one of those, as its origin is in neuroscience, not education. Brain-compatible learning is not an educational-reform movement. It does not prescribe how to run your classroom or offer specific techniques to use. Rather, it provides empirical data about how the brain learns and suggests guidelines to be considered while preparing lessons for your students. These guidelines may be incorporated into every educational setting, with every type of curriculum and every age group. The field of athletic training lends itself well to many of the basic principles of brain-compatible learning. PMID:16558681

Self-directed learning readiness of Asian students: students perspective on a hybrid problem based learning curriculum

PubMed Central

Susilo, Astrid P.; van Berkel, Henk

2016-01-01

Objectives To identify the student’s readiness to perform self-directed learning and the underlying factors influencing it on the hybrid problem based learning curriculum. Methods A combination of quantitative and qualitative studies was conducted in five medical schools in Indonesia. In the quantitative study, the Self Directed Learning Readiness Scale was distributed to all students in all batches, who had experience with the hybrid problem based curriculum. They were categorized into low- and high -level based on the score of the questionnaire. Three focus group discussions (low-, high-, and mixed level) were conducted in the qualitative study with six to twelve students chosen randomly from each group to find the factors influencing their self-directed learning readiness. Two researchers analysed the qualitative data as a measure of triangulation. Results The quantitative study showed only half of the students had a high-level of self-directed learning readiness, and a similar trend also occurred in each batch. The proportion of students with a high level of self-directed learning readiness was lower in the senior students compared to more junior students. The qualitative study showed that problem based learning processes, assessments, learning environment, students’ life styles, students’ perceptions of the topics, and mood, were factors influencing their self-directed learning. Conclusion A hybrid problem based curriculum may not fully affect the students’ self-directed learning. The curriculum system, teacher’s experiences, student’s background and cultural factors might contribute to the difficulties for the student’s in conducting self-directed learning. PMID:27915308

Engaging the Deaf American Sign Language Community: Lessons From a Community-Based Participatory Research Center

PubMed Central

McKee, Michael; Thew, Denise; Starr, Matthew; Kushalnagar, Poorna; Reid, John T.; Graybill, Patrick; Velasquez, Julia; Pearson, Thomas

2013-01-01

Background Numerous publications demonstrate the importance of community-based participatory research (CBPR) in community health research, but few target the Deaf community. The Deaf community is understudied and underrepresented in health research despite suspected health disparities and communication barriers. Objectives The goal of this paper is to share the lessons learned from the implementation of CBPR in an understudied community of Deaf American Sign Language (ASL) users in the greater Rochester, New York, area. Methods We review the process of CBPR in a Deaf ASL community and identify the lessons learned. Results Key CBPR lessons include the importance of engaging and educating the community about research, ensuring that research benefits the community, using peer-based recruitment strategies, and sustaining community partnerships. These lessons informed subsequent research activities. Conclusions This report focuses on the use of CBPR principles in a Deaf ASL population; lessons learned can be applied to research with other challenging-to-reach populations. PMID:22982845

Using CBPR for Health Research in American Muslim Mosque Communities: Lessons Learned

PubMed Central

Killawi, Amal; Heisler, Michele; Hamid, Hamada; Padela, Aasim I.

2015-01-01

Background American Muslims are understudied in health research, and there are few studies documenting community-based participatory research (CBPR) efforts among American Muslim mosque communities. Objectives We highlight lessons learned from a CBPR partnership that explored the health care beliefs, behaviors, and challenges of American Muslims. Methods We established a collaboration between the University of Michigan and four Muslim-focused community organizations in Michigan. Our collaborative team designed and implemented a two-phase study involving interviews with community stakeholders and focus groups and surveys with mosque congregants. Lessons Learned Although we were successful in meeting our research goals, maintaining community partner involvement and sustaining the project partnership proved challenging. Conclusions CBPR initiatives within mosque communities have the potential for improving community health. Our experience suggests that successful research partnerships with American Muslims will utilize social networks and cultural insiders, culturally adapt research methods, and develop a research platform within the organizational infrastructures of the American Muslim community. PMID:25981426

Learning the ideal observer for SKE detection tasks by use of convolutional neural networks (Cum Laude Poster Award)

NASA Astrophysics Data System (ADS)

Zhou, Weimin; Anastasio, Mark A.

2018-03-01

It has been advocated that task-based measures of image quality (IQ) should be employed to evaluate and optimize imaging systems. Task-based measures of IQ quantify the performance of an observer on a medically relevant task. The Bayesian Ideal Observer (IO), which employs complete statistical information of the object and noise, achieves the upper limit of the performance for a binary signal classification task. However, computing the IO performance is generally analytically intractable and can be computationally burdensome when Markov-chain Monte Carlo (MCMC) techniques are employed. In this paper, supervised learning with convolutional neural networks (CNNs) is employed to approximate the IO test statistics for a signal-known-exactly and background-known-exactly (SKE/BKE) binary detection task. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) are compared to those produced by the analytically computed IO. The advantages of the proposed supervised learning approach for approximating the IO are demonstrated.

Development and Implementation of a School-based Obesity Prevention Intervention: Lessons Learned from Community-Based Participatory Research

PubMed Central

Uyeda, Kimberly; Bogart, Laura M.; Hawes-Dawson, Jennifer; Schuster, Mark A.

2010-01-01

Background National, state, and local policies aim to change school environments to prevent child obesity. Community-based participatory research (CBPR) can be effective in translating public health policy into practice. Objectives We describe lessons learned from developing and pilot testing a middle school-based obesity prevention intervention using CBPR in Los Angeles, California. Methods We formed a community–academic partnership between the Los Angeles Unified School District (LAUSD) and the UCLA/RAND Center for Adolescent Health Promotion to identify community needs and priorities for addressing adolescent obesity and to develop and pilot test a school-based intervention. Lessons Learned Academic partners need to be well-versed in organizational structures and policies. Partnerships should be built on relationships of trust, shared vision, and mutual capacity building, with genuine community engagement at multiple levels. Conclusion These lessons are critical, not only for partnering with schools on obesity prevention, but also for working in other community settings and on other health issues. PMID:20208226

Storytelling in Community Intervention Research: Lessons Learned From the Walk Your Heart to Health Intervention

PubMed Central

LeBron, Alana M. W.; Schulz, Amy J.; Bernal, Cristina; Gamboa, Cindy; Wright, Conja; Sand, Sharon; Valerio, Melissa; Caver, Deanna

2015-01-01

Background Contextually and culturally congruent interventions are urgently needed to reduce racial, ethnic, and socio economic inequities in physical activity and cardiovascular disease. Objectives To examine a community-based participatory research (CBPR) process that incorporated storytelling into a physical activity intervention, and consider implications for reducing health inequities. Methods We used a CBPR process to incorporate storytelling in an existing walking group intervention. Stories conveyed social support and problem-solving intervention themes designed to maintain increases in physical activity over time, and were adapted to the walking group context, group dynamics, challenges, and traditions. Lessons Learned After describing of the CBPR process used to adapt stories to walking group sites, we discuss challenges and lessons learned regarding the adaptation and implementation of stories to convey key intervention themes. Conclusions A CBPR approach to incorporating storytelling to convey intervention themes offers an innovative and flexible strategy to promote health toward the elimination of health inequities. PMID:25727980

Changing to Concept-Based Curricula: The Process for Nurse Educators

PubMed Central

Baron, Kristy A.

2017-01-01

Background: The complexity of health care today requires nursing graduates to use effective thinking skills. Many nursing programs are revising curricula to include concept-based learning that encourages problem-solving, effective thinking, and the ability to transfer knowledge to a variety of situations—requiring nurse educators to modify their teaching styles and methods to promote student-centered learning. Changing from teacher-centered learning to student-centered learning requires a major shift in thinking and application. Objective: The focus of this qualitative study was to understand the process of changing to concept-based curricula for nurse educators who previously taught in traditional curriculum designs. Methods: The sample included eight educators from two institutions in one Western state using a grounded theory design. Results: The themes that emerged from participants’ experiences consisted of the overarching concept, support for change, and central concept, finding meaning in the change. Finding meaning is supported by three main themes: preparing for the change, teaching in a concept-based curriculum, and understanding the teaching-learning process. Conclusion: Changing to a concept-based curriculum required a major shift in thinking and application. Through support, educators discovered meaning to make the change by constructing authentic learning opportunities that mirrored practice, refining the change process, and reinforcing benefits of teaching. PMID:29399236

Teaching tools in Evidence Based Practice: evaluation of reusable learning objects (RLOs) for learning about Meta-analysis

PubMed Central

2011-01-01

Background All healthcare students are taught the principles of evidence based practice on their courses. The ability to understand the procedures used in systematically reviewing evidence reported in studies, such as meta-analysis, are an important element of evidence based practice. Meta-analysis is a difficult statistical concept for healthcare students to understand yet it is an important technique used in systematic reviews to pool data from studies to look at combined effectiveness of treatments. In other areas of the healthcare curricula, by supplementing lectures, workbooks and workshops with pedagogically designed, multimedia learning objects (known as reusable learning objects or RLOs) we have shown an improvement in students' perceived understanding in subjects they found difficult. In this study we describe the development and evaluation of two RLOs on meta-analysis. The RLOs supplement associated lectures and aim to improve students' understanding of meta-analysis in healthcare students. Methods Following a quality controlled design process two RLOs were developed and delivered to two cohorts of students, a Master in Public Health course and Postgraduate diploma in nursing course. Students' understanding of five key concepts of Meta-analysis were measured before and after a lecture and again after RLO use. RLOs were also evaluated for their educational value, learning support, media attributes and usability using closed and open questions. Results Students rated their understanding of meta-analysis as improved after a lecture and further improved after completing the RLOs (Wilcoxon paired test, p < 0.01 in all cases) Whilst the media components of the RLOs such as animations helped most students (86%) understand concepts including for example Forest plots, 93% of students rated usability and control as important to their learning. A small number of students stated they needed the support of a lecturer alongside the RLOs (7% 'Agreed' and 21% 'Neutral'). Conclusions Meta-analysis RLOs that are openly accessible and unrestricted by usernames and passwords provide flexible support for students who find the process of meta-analysis difficult. PMID:21542905

Bridging the Gap: Informal Learning Practices as a Pedagogy of Integration

ERIC Educational Resources Information Center

Feichas, Heloisa

2010-01-01

This work derives from a doctoral research study which looked at the differences in students' attitudes towards learning music in a Brazilian music higher education institution, while taking into account their different music learning backgrounds. The students' backgrounds (which consist of their set of musical experiences and music-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

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.

Interactive Algorithms for Teaching and Learning Acute Medicine in the Network of Medical Faculties MEFANET

PubMed Central

Štourač, Petr; Komenda, Martin; Harazim, Hana; Kosinová, Martina; Gregor, Jakub; Hůlek, Richard; Smékalová, Olga; Křikava, Ivo; Štoudek, Roman; Dušek, Ladislav

2013-01-01

Background Medical Faculties Network (MEFANET) has established itself as the authority for setting standards for medical educators in the Czech Republic and Slovakia, 2 independent countries with similar languages that once comprised a federation and that still retain the same curricular structure for medical education. One of the basic goals of the network is to advance medical teaching and learning with the use of modern information and communication technologies. Objective We present the education portal AKUTNE.CZ as an important part of the MEFANET’s content. Our focus is primarily on simulation-based tools for teaching and learning acute medicine issues. Methods Three fundamental elements of the MEFANET e-publishing system are described: (1) medical disciplines linker, (2) authentication/authorization framework, and (3) multidimensional quality assessment. A new set of tools for technology-enhanced learning have been introduced recently: Sandbox (works in progress), WikiLectures (collaborative content authoring), Moodle-MEFANET (central learning management system), and Serious Games (virtual casuistics and interactive algorithms). The latest development in MEFANET is designed for indexing metadata about simulation-based learning objects, also known as electronic virtual patients or virtual clinical cases. The simulations assume the form of interactive algorithms for teaching and learning acute medicine. An anonymous questionnaire of 10 items was used to explore students’ attitudes and interests in using the interactive algorithms as part of their medical or health care studies. Data collection was conducted over 10 days in February 2013. Results In total, 25 interactive algorithms in the Czech and English languages have been developed and published on the AKUTNE.CZ education portal to allow the users to test and improve their knowledge and skills in the field of acute medicine. In the feedback survey, 62 participants completed the online questionnaire (13.5%) from the total 460 addressed. Positive attitudes toward the interactive algorithms outnumbered negative trends. Conclusions The peer-reviewed algorithms were used for conducting problem-based learning sessions in general medicine (first aid, anesthesiology and pain management, emergency medicine) and in nursing (emergency medicine for midwives, obstetric analgesia, and anesthesia for midwifes). The feedback from the survey suggests that the students found the interactive algorithms as effective learning tools, facilitating enhanced knowledge in the field of acute medicine. The interactive algorithms, as a software platform, are open to academic use worldwide. The existing algorithms, in the form of simulation-based learning objects, can be incorporated into any educational website (subject to the approval of the authors). PMID:23835586

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.

Pre-service Elementary Teachers Understanding on Force and Motion

NASA Astrophysics Data System (ADS)

Anggoro, S.; Widodo, A.; Suhandi, A.

2017-09-01

The research is done to investigate the understanding on the subtopic of Force and Motion that exists among the pre-services elementary teachers. The participants were 71 Elementary Teachers Study Program students in 6th and 77 one in 2nd semester at private university. Research instrument consisted of background information of respondents, belief of preconception and 8 questions that relates to Force and Motion with four alternative answers and their explained. Descriptive statistics such as percentage and bar chart were used for analyzing the data collected. Research findings have shown many participants have some misunderstand or misconception conception especially in free fall object, rest object, buoyant force and gravitation. This research recommends learning progression pre-services teachers to be exposed with conflict cognitive strategy for science conceptual change.

Hybrid Multiagent System for Automatic Object Learning Classification

NASA Astrophysics Data System (ADS)

Gil, Ana; de La Prieta, Fernando; López, Vivian F.

The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.

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…

Improving the Teaching/Learning Process in General Chemistry: Report on the 1997 Stony Brook General Chemistry Teaching Workshop

NASA Astrophysics Data System (ADS)

Hanson, David M.; Wolfskill, Troy

1998-02-01

Motivated by the widespread recognition that traditional teaching methods at postsecondary institutions no longer are meeting students' educational needs, 59 participants came to the first Stony Brook General Chemistry Teaching Workshop, July 20-July 25, 1997, on improving the teaching/learning process in General Chemistry. The instructors from 42 institutions across the country, including community colleges, liberal-arts colleges, and large research universities, had mutual concerns that students are having difficulty understanding and applying concepts, finding relevance, transferring knowledge within and across disciplines, and identifying and developing skills needed for success in college and a career. This situation has come about because challenges posed by students' increasing diversity in academic preparation, cultural background, motivation, and career goals go unmet, with too many courses maintaining the conventional objective of structuring and presenting information.

DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field.

PubMed

Christiansen, Peter; Nielsen, Lars N; Steen, Kim A; Jørgensen, Rasmus N; Karstoft, Henrik

2016-11-11

Convolutional neural network (CNN)-based systems are increasingly used in autonomous vehicles for detecting obstacles. CNN-based object detection and per-pixel classification (semantic segmentation) algorithms are trained for detecting and classifying a predefined set of object types. These algorithms have difficulties in detecting distant and heavily occluded objects and are, by definition, not capable of detecting unknown object types or unusual scenarios. The visual characteristics of an agriculture field is homogeneous, and obstacles, like people, animals and other obstacles, occur rarely and are of distinct appearance compared to the field. This paper introduces DeepAnomaly, an algorithm combining deep learning and anomaly detection to exploit the homogenous characteristics of a field to perform anomaly detection. We demonstrate DeepAnomaly as a fast state-of-the-art detector for obstacles that are distant, heavily occluded and unknown. DeepAnomaly is compared to state-of-the-art obstacle detectors including "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" (RCNN). In a human detector test case, we demonstrate that DeepAnomaly detects humans at longer ranges (45-90 m) than RCNN. RCNN has a similar performance at a short range (0-30 m). However, DeepAnomaly has much fewer model parameters and (182 ms/25 ms =) a 7.28-times faster processing time per image. Unlike most CNN-based methods, the high accuracy, the low computation time and the low memory footprint make it suitable for a real-time system running on a embedded GPU (Graphics Processing Unit).

DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field

PubMed Central

Christiansen, Peter; Nielsen, Lars N.; Steen, Kim A.; Jørgensen, Rasmus N.; Karstoft, Henrik

2016-01-01

Convolutional neural network (CNN)-based systems are increasingly used in autonomous vehicles for detecting obstacles. CNN-based object detection and per-pixel classification (semantic segmentation) algorithms are trained for detecting and classifying a predefined set of object types. These algorithms have difficulties in detecting distant and heavily occluded objects and are, by definition, not capable of detecting unknown object types or unusual scenarios. The visual characteristics of an agriculture field is homogeneous, and obstacles, like people, animals and other obstacles, occur rarely and are of distinct appearance compared to the field. This paper introduces DeepAnomaly, an algorithm combining deep learning and anomaly detection to exploit the homogenous characteristics of a field to perform anomaly detection. We demonstrate DeepAnomaly as a fast state-of-the-art detector for obstacles that are distant, heavily occluded and unknown. DeepAnomaly is compared to state-of-the-art obstacle detectors including “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks” (RCNN). In a human detector test case, we demonstrate that DeepAnomaly detects humans at longer ranges (45–90 m) than RCNN. RCNN has a similar performance at a short range (0–30 m). However, DeepAnomaly has much fewer model parameters and (182 ms/25 ms =) a 7.28-times faster processing time per image. Unlike most CNN-based methods, the high accuracy, the low computation time and the low memory footprint make it suitable for a real-time system running on a embedded GPU (Graphics Processing Unit). PMID:27845717

Family Background, Entry Selectivity and Opportunities to Learn: What Matters in Primary Teacher Education? An International Comparison of Fifteen Countries

ERIC Educational Resources Information Center

Blomeke, Sigrid; Suhl, Ute; Kaiser, Gabriele; Dohrmann, Martina

2012-01-01

First findings of IEA's "Teacher Education and Development Study in Mathematics (TEDS-M)" had revealed differences in the demographic background, opportunities to learn (OTL), and outcomes of teacher education between student teachers from different countries. Two hypotheses are examined: OTL and teacher background are significant predictors of…

Learning to Lead in Higher Education: Insights into the Family Backgrounds of Women University Presidents

ERIC Educational Resources Information Center

Madsen, Susan R.

2007-01-01

The purpose of the study was to explore the lived experiences of women university presidents related to becoming leaders or learning to lead. This manuscript highlights the research focused on the immediate family backgrounds and influences on these presidents. The research question was as follows: With regard to their family backgrounds and…

Improving Nursing Students' Learning Outcomes in Fundamentals of Nursing Course through Combination of Traditional and e-Learning Methods

PubMed Central

Sheikhaboumasoudi, Rouhollah; Bagheri, Maryam; Hosseini, Sayed Abbas; Ashouri, Elaheh; Elahi, Nasrin

2018-01-01

Background: Fundamentals of nursing course are prerequisite to providing comprehensive nursing care. Despite development of technology on nursing education, effectiveness of using e-learning methods in fundamentals of nursing course is unclear in clinical skills laboratory for nursing students. The aim of this study was to compare the effect of blended learning (combining e-learning with traditional learning methods) with traditional learning alone on nursing students' scores. Materials and Methods: A two-group post-test experimental study was administered from February 2014 to February 2015. Two groups of nursing students who were taking the fundamentals of nursing course in Iran were compared. Sixty nursing students were selected as control group (just traditional learning methods) and experimental group (combining e-learning with traditional learning methods) for two consecutive semesters. Both groups participated in Objective Structured Clinical Examination (OSCE) and were evaluated in the same way using a prepared checklist and questionnaire of satisfaction. Statistical analysis was conducted through SPSS software version 16. Results: Findings of this study reflected that mean of midterm (t = 2.00, p = 0.04) and final score (t = 2.50, p = 0.01) of the intervention group (combining e-learning with traditional learning methods) were significantly higher than the control group (traditional learning methods). The satisfaction of male students in intervention group was higher than in females (t = 2.60, p = 0.01). Conclusions: Based on the findings, this study suggests that the use of combining traditional learning methods with e-learning methods such as applying educational website and interactive online resources for fundamentals of nursing course instruction can be an effective supplement for improving nursing students' clinical skills. PMID:29861761

Frequent video game players resist perceptual interference.

PubMed

Berard, Aaron V; Cain, Matthew S; Watanabe, Takeo; Sasaki, Yuka

2015-01-01

Playing certain types of video games for a long time can improve a wide range of mental processes, from visual acuity to cognitive control. Frequent gamers have also displayed generalized improvements in perceptual learning. In the Texture Discrimination Task (TDT), a widely used perceptual learning paradigm, participants report the orientation of a target embedded in a field of lines and demonstrate robust over-night improvement. However, changing the orientation of the background lines midway through TDT training interferes with overnight improvements in overall performance on TDT. Interestingly, prior research has suggested that this effect will not occur if a one-hour break is allowed in between the changes. These results have suggested that after training is over, it may take some time for learning to become stabilized and resilient against interference. Here, we tested whether frequent gamers have faster stabilization of perceptual learning compared to non-gamers and examined the effect of daily video game playing on interference of training of TDT with one background orientation on perceptual learning of TDT with a different background orientation. As a result, we found that non-gamers showed overnight performance improvement only on one background orientation, replicating previous results with the interference in TDT. In contrast, frequent gamers demonstrated overnight improvements in performance with both background orientations, suggesting that they are better able to overcome interference in perceptual learning. This resistance to interference suggests that video game playing not only enhances the amplitude and speed of perceptual learning but also leads to faster and/or more robust stabilization of perceptual learning.

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.

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

3,4-Methylenedioxymethamphetamine in Adult Rats Produces Deficits in Path Integration and Spatial Reference Memory

PubMed Central

Able, Jessica A.; Gudelsky, Gary A.; Vorhees, Charles V.; Williams, Michael T.

2010-01-01

Background ±3,4-Methylenedioxymethamphetamine (MDMA) is a recreational drug that causes cognitive deficits in humans. A rat model for learning and memory deficits has not been established, although some cognitive deficits have been reported. Methods Male Sprague-Dawley rats were treated with MDMA (15 mg/kg × 4 doses) or saline (SAL) (n = 20/treatment group) and tested in different learning paradigms: 1) path integration in the Cincinnati water maze (CWM), 2) spatial learning in the Morris water maze (MWM), and 3) novel object recognition (NOR). One week after drug administration, testing began in the CWM, then four phases of MWM, and finally NOR. Following behavioral testing, monoamine levels were assessed. Results ±3,4-Methylenedioxymethamphetamine-treated rats committed more CWM errors than did SAL-treated rats. ±3,4-Methylenedioxymethamphetamine-treated animals were further from the former platform position during each 30-second MWM probe trial but showed no differences during learning trials with the platform present. There were no group differences in NOR. ± 3,4-Methylenedioxymethamphetamine depleted serotonin in all brain regions and dopamine in the striatum. Conclusions ±3,4-Methylenedioxymethamphetamine produced MWM reference memory deficits even after complex learning in the CWM, where deficits in path integration learning occurred. Assessment of path integration may provide a sensitive index of MDMA-induced learning deficits. PMID:16324685

How organizational learning is associated with patient rights: a qualitative content analysis

PubMed Central

Heidari, Shahin; Nayeri, Nahid Dehghan; Ravari, Ali; Sabzevari, Sakineh

2016-01-01

Background Nowadays, patient rights, particularly receiving favorable health care based on modern knowledge, informed consent, and privacy, are important issues in health care delivery systems. Organizational learning is considered an important factor influencing health care quality and patient rights. However, there is little evidence regarding this issue. Objective The present study was conducted to explore the role of organizational learning in patient rights from clinical nurses’ viewpoint. Design This qualitative study was conducted through conventional content analysis. In total, 18 nurses who met the inclusion criteria participated in this study through purposive sampling with maximum variation. Data were gathered through 20 in-depth, semi-structured interviews, which continued until data saturation was achieved. Data collection also included constant and simultaneous comparative analyses. Results Data analysis led to four major themes: conservation of patient safety, providing favorable care, being the patient's advocate, and informing the patients. All the participants believed that organizational learning could play a vital role in respecting patient rights and interests. Conclusions Participants believed that their efforts to conduct organizational learning, tried to improve respecting the patient rights via conservation of patient safety, trying to improve quality of care, being an advocate, and informing the patient. It would be appreciable if nursing managers honored the commitment of the nurses for learning, highlight their role as defenders of patient rights, and encourage them to initiate organizational learning. PMID:27465289

An Activist Approach to Sport Meets Youth from Socially Vulnerable Backgrounds: Possible Learning Aspirations

ERIC Educational Resources Information Center

Luguetti, Carla; Oliver, Kimberly L.; Dantas, Luiz Eduardo Pinto Basto Tourinho; Kirk, David

2017-01-01

Purpose: This study was a 2-phase activist research project aimed at co-creating a prototype pedagogical model for working with youth from socially vulnerable backgrounds in a sport context. This article addresses the learning aspirations (learning outcomes) that emerged when we created spaces for youth to develop strategies to manage the risks…

Learning the Way: Teaching and Learning with and for Youth from Refugee Backgrounds on Prince Edward Island

ERIC Educational Resources Information Center

MacNevin, Joanne

2012-01-01

This article presents one component of a qualitative study that explored teaching and learning with and for youth from refugee backgrounds in Prince Edward Island (PEI) intermediate and high schools. Specifically, this article presents data and discussion regarding some of the challenges and professional development needs of teachers working with…

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…

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.

Creating objects and object categories for studying perception and perceptual learning.

PubMed

Hauffen, Karin; Bart, Eugene; Brady, Mark; Kersten, Daniel; Hegdé, Jay

2012-11-02

In order to quantitatively study object perception, be it perception by biological systems or by machines, one needs to create objects and object categories with precisely definable, preferably naturalistic, properties. Furthermore, for studies on perceptual learning, it is useful to create novel objects and object categories (or object classes) with such properties. Many innovative and useful methods currently exist for creating novel objects and object categories (also see refs. 7,8). However, generally speaking, the existing methods have three broad types of shortcomings. First, shape variations are generally imposed by the experimenter, and may therefore be different from the variability in natural categories, and optimized for a particular recognition algorithm. It would be desirable to have the variations arise independently of the externally imposed constraints. Second, the existing methods have difficulty capturing the shape complexity of natural objects. If the goal is to study natural object perception, it is desirable for objects and object categories to be naturalistic, so as to avoid possible confounds and special cases. Third, it is generally hard to quantitatively measure the available information in the stimuli created by conventional methods. It would be desirable to create objects and object categories where the available information can be precisely measured and, where necessary, systematically manipulated (or 'tuned'). This allows one to formulate the underlying object recognition tasks in quantitative terms. Here we describe a set of algorithms, or methods, that meet all three of the above criteria. Virtual morphogenesis (VM) creates novel, naturalistic virtual 3-D objects called 'digital embryos' by simulating the biological process of embryogenesis. Virtual phylogenesis (VP) creates novel, naturalistic object categories by simulating the evolutionary process of natural selection. Objects and object categories created by these simulations can be further manipulated by various morphing methods to generate systematic variations of shape characteristics. The VP and morphing methods can also be applied, in principle, to novel virtual objects other than digital embryos, or to virtual versions of real-world objects. Virtual objects created in this fashion can be rendered as visual images using a conventional graphical toolkit, with desired manipulations of surface texture, illumination, size, viewpoint and background. The virtual objects can also be 'printed' as haptic objects using a conventional 3-D prototyper. We also describe some implementations of these computational algorithms to help illustrate the potential utility of the algorithms. It is important to distinguish the algorithms from their implementations. The implementations are demonstrations offered solely as a 'proof of principle' of the underlying algorithms. It is important to note that, in general, an implementation of a computational algorithm often has limitations that the algorithm itself does not have. Together, these methods represent a set of powerful and flexible tools for studying object recognition and perceptual learning by biological and computational systems alike. With appropriate extensions, these methods may also prove useful in the study of morphogenesis and phylogenesis.

Evaluating learning among undergraduate medical students in schools with traditional and problem-based curricula.

PubMed

Meo, Sultan Ayoub

2013-09-01

This study aimed to assess knowledge and skills in a respiratory physiology course in traditional versus problem-based learning (PBL) groups in two different medical schools. Two different undergraduate medical schools were selected for this study. The first medical school followed the traditional [lecture-based learning (LBL)] curriculum, and the second medical school followed the PBL curriculum. Sixty first-year male medical students (30 students from each medical school) volunteered; they were apparently healthy and of the same age, sex, nationality, and regional and cultural background. Students were taught respiratory physiology according to their curriculum for a period of 2 wk. At the completion of the study period, knowledge was measured based on a single best multiple-choice question examination, and skill was measured based on the objective structured practical examination in the lung function laboratory (respiratory physiology). A Student's t-test was applied for the analysis of the data, and the level of significance was set at P < 0.05. Students belonging to the PBL curriculum obtained a higher score in the multiple-choice question examination (P = 0.001) and objective structured practical examination (P = 0.0001) compared with traditional (LBL) students. Students in the PBL group obtained significantly higher knowledge and skill scores in the respiratory physiology course compared with students in the traditional (LBL) style of medical schools.

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…

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

Teacher Trainees as Learning Object Designers: Problems and Issues in Learning Object Development Process

ERIC Educational Resources Information Center

Guler, Cetin; Altun, Arif

2010-01-01

Learning objects (LOs) can be defined as resources that are reusable, digital with the aim of fulfilling learning objectives (or expectations). Educators, both at the individual and institutional levels, are cautioned about the fact that LOs are to be processed through a proper development process. Who should be involved in the LO development…

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,…

The use of deep and surface learning strategies among students learning English as a foreign language in an Internet environment.

PubMed

Aharony, Noa

2006-12-01

The learning context is learning English in an Internet environment. The examination of this learning process was based on the Biggs and Moore's teaching-learning model (Biggs & Moore, 1993). The research aims to explore the use of the deep and surface strategies in an Internet environment among EFL students who come from different socio-economic backgrounds. The results of the research may add an additional level to the understanding of students' functioning in the Internet environment. One hundred fourty-eight Israeli junior and high school students participated in this research. The methodology was based on special computer software: Screen Cam, which recorded the students' learning process. In addition, expert judges completed a questionnaire which examined and categorized the students' learning strategies. The research findings show a clear preference of participants from all socio-economic backgrounds towards the surface learning strategy. The findings also showed that students from the medium to high socio-economic background used both learning strategies more frequently than low socio-economic students. The results reflect the habits that students acquire during their adjustment process throughout their education careers. A brief encounter with the Internet learning environment apparently cannot change norms or habits, which were acquired in the non-Internet learning environment.

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…

The Role of Cultural Background and Team Divisions in Developing Social Learning Relations in the Classroom

ERIC Educational Resources Information Center

Rienties, Bart; Nanclares, Núria Hernández; Jindal-Snape, Divya; Alcott, Peter

2013-01-01

A common assumption is that students prefer to work together with students from similar cultural backgrounds. In a group work context, students from different cultural backgrounds are "forced" to work together. This might lead to stress and anxiety but at the same time may allow students to learn from different perspectives. The prime…

Deep Learning Neural Networks and Bayesian Neural Networks in Data Analysis

NASA Astrophysics Data System (ADS)

Chernoded, Andrey; Dudko, Lev; Myagkov, Igor; Volkov, Petr

2017-10-01

Most of the modern analyses in high energy physics use signal-versus-background classification techniques of machine learning methods and neural networks in particular. Deep learning neural network is the most promising modern technique to separate signal and background and now days can be widely and successfully implemented as a part of physical analysis. In this article we compare Deep learning and Bayesian neural networks application as a classifiers in an instance of top quark analysis.

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 Impact of Utilising Mobile Assisted Language Learning (MALL) on Vocabulary Acquisition among Migrant Women English Learners

ERIC Educational Resources Information Center

Ahmad, Kham Sila; Armarego, Jocelyn; Sudweeks, Fay

2017-01-01

Aim/Purpose: To develop a framework for utilizing Mobile Assisted Language Learning (MALL) to assist non-native English migrant women to acquire English vocabulary in a non-formal learning setting. Background: The women in this study migrated to Australia with varied backgrounds including voluntary or forced migration, very low to high levels of…

Learning Style Preferences: An Examination of Differences amongst Students with Different Disciplinary Backgrounds

ERIC Educational Resources Information Center

Hill, Frances; Tomkinson, Bland; Hiley, Anna; Dobson, Helen

2016-01-01

The context of this study is of students with backgrounds in a variety of engineering and social science disciplines, and from first degrees in different countries, coming together to study Project Management. Tailoring teaching to all individuals' learning styles is not possible, but, in an attempt to learn how to teach better in ways that fit…

Confident but not theoretically grounded – experienced simulation educators’ perceptions of their own professional development

PubMed Central

Allvin, Renée; Berndtzon, Magnus; Carlzon, Liisa; Edelbring, Samuel; Hult, Håkan; Hultin, Magnus; Karlgren, Klas; Masiello, Italo; Södersved Källestedt, Marie-Louise; Tamás, Éva

2017-01-01

Background Medical simulation enables the design of learning activities for competency areas (eg, communication and leadership) identified as crucial for future health care professionals. Simulation educators and medical teachers follow different career paths, and their education backgrounds and teaching contexts may be very different in a simulation setting. Although they have a key role in facilitating learning, information on the continuing professional development (pedagogical development) of simulation educators is not available in the literature. Objectives To explore changes in experienced simulation educators’ perceptions of their own teaching skills, practices, and understanding of teaching over time. Methods A qualitative exploratory study. Fourteen experienced simulation educators participated in individual open-ended interviews focusing on their development as simulation educators. Data were analyzed using an inductive thematic analysis. Results Marked educator development was discerned over time, expressed mainly in an altered way of thinking and acting. Five themes were identified: shifting focus, from following to utilizing a structure, setting goals, application of technology, and alignment with profession. Being confident in the role as an instructor seemed to constitute a foundation for the instructor’s pedagogical development. Conclusion Experienced simulation educators’ pedagogical development was based on self-confidence in the educator role, and not on a deeper theoretical understanding of teaching and learning. This is the first clue to gain increased understanding regarding educational level and possible education needs among simulation educators, and it might generate several lines of research for further studies. PMID:28176931

Plasticity in neuromagnetic cortical responses suggests enhanced auditory object representation

PubMed Central

2013-01-01

Background Auditory perceptual learning persistently modifies neural networks in the central nervous system. Central auditory processing comprises a hierarchy of sound analysis and integration, which transforms an acoustical signal into a meaningful object for perception. Based on latencies and source locations of auditory evoked responses, we investigated which stage of central processing undergoes neuroplastic changes when gaining auditory experience during passive listening and active perceptual training. Young healthy volunteers participated in a five-day training program to identify two pre-voiced versions of the stop-consonant syllable ‘ba’, which is an unusual speech sound to English listeners. Magnetoencephalographic (MEG) brain responses were recorded during two pre-training and one post-training sessions. Underlying cortical sources were localized, and the temporal dynamics of auditory evoked responses were analyzed. Results After both passive listening and active training, the amplitude of the P2m wave with latency of 200 ms increased considerably. By this latency, the integration of stimulus features into an auditory object for further conscious perception is considered to be complete. Therefore the P2m changes were discussed in the light of auditory object representation. Moreover, P2m sources were localized in anterior auditory association cortex, which is part of the antero-ventral pathway for object identification. The amplitude of the earlier N1m wave, which is related to processing of sensory information, did not change over the time course of the study. Conclusion The P2m amplitude increase and its persistence over time constitute a neuroplastic change. The P2m gain likely reflects enhanced object representation after stimulus experience and training, which enables listeners to improve their ability for scrutinizing fine differences in pre-voicing time. Different trajectories of brain and behaviour changes suggest that the preceding effect of a P2m increase relates to brain processes, which are necessary precursors of perceptual learning. Cautious discussion is required when interpreting the finding of a P2 amplitude increase between recordings before and after training and learning. PMID:24314010

Predominant learning styles among pharmacy students at the Federal University of Paraná, Brazil

PubMed Central

Czepula, Alexandra I.; Bottacin, Wallace E.; Hipólito, Edson; Baptista, Deise R.; Pontarolo, Roberto; Correr, Cassyano J.

2015-01-01

Background: Learning styles are cognitive, emotional, and physiological traits, as well as indicators of how learners perceive, interact, and respond to their learning environments. According to Honey-Mumford, learning styles are classified as active, reflexive, theoretical, and pragmatic. Objective: The purpose of this study was to identify the predominant learning styles among pharmacy students at the Federal University of Paraná, Brazil. Methods: An observational, cross-sectional, and descriptive study was conducted using the Honey-Alonso Learning Style Questionnaire. Students in the Bachelor of Pharmacy program were invited to participate in this study. The questionnaire comprised 80 randomized questions, 20 for each of the four learning styles. The maximum possible score was 20 points for each learning style, and cumulative scores indicated the predominant learning styles among the participants. Honey-Mumford (1986) proposed five preference levels for each style (very low, low, moderate, high, and very high), called a general interpretation scale, to avoid student identification with one learning style and ignoring the characteristics of the other styles. Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 20.0. Results: This study included 297 students (70% of all pharmacy students at the time) with a median age of 21 years old. Women comprised 77.1% of participants. The predominant style among pharmacy students at the Federal University of Paraná was the pragmatist, with a median of 14 (high preference). The pragmatist style prevails in people who are able to discover techniques related to their daily learning because such people are curious to discover new strategies and attempt to verify whether the strategies are efficient and valid. Because these people are direct and objective in their actions, pragmatists prefer to focus on practical issues that are validated and on problem situations. There was no statistically significant difference between genders with regard to learning styles. Conclusion: The pragmatist style is the prevailing style among pharmacy students at the Federal University of Paraná. Although students may have a learning preference that preference is not the only manner in which students can learn, neither their preference is the only manner in which students can be taught. Awareness of students’ learning styles can be used to adapt the methodology used by teachers to render the teaching-learning process effective and long lasting. The content taught to students should be presented in different manners because varying teaching methods can develop learning skills in students. PMID:27011774

The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysis

PubMed Central

Peng, Weijun; Zhang, Fan; Hu, Rong; Li, Yingxue

2016-01-01

Background Blended learning, defined as the combination of traditional face-to-face learning and asynchronous or synchronous e-learning, has grown rapidly and is now widely used in education. Concerns about the effectiveness of blended learning have led to an increasing number of studies on this topic. However, there has yet to be a quantitative synthesis evaluating the effectiveness of blended learning on knowledge acquisition in health professions. Objective We aimed to assess the effectiveness of blended learning for health professional learners compared with no intervention and with nonblended learning. We also aimed to explore factors that could explain differences in learning effects across study designs, participants, country socioeconomic status, intervention durations, randomization, and quality score for each of these questions. Methods We conducted a search of citations in Medline, CINAHL, Science Direct, Ovid Embase, Web of Science, CENTRAL, and ERIC through September 2014. Studies in any language that compared blended learning with no intervention or nonblended learning among health professional learners and assessed knowledge acquisition were included. Two reviewers independently evaluated study quality and abstracted information including characteristics of learners and intervention (study design, exercises, interactivity, peer discussion, and outcome assessment). Results We identified 56 eligible articles. Heterogeneity across studies was large (I2 ≥93.3) in all analyses. For studies comparing knowledge gained from blended learning versus no intervention, the pooled effect size was 1.40 (95% CI 1.04-1.77; P<.001; n=20 interventions) with no significant publication bias, and exclusion of any single study did not change the overall result. For studies comparing blended learning with nonblended learning (pure e-learning or pure traditional face-to-face learning), the pooled effect size was 0.81 (95% CI 0.57-1.05; P<.001; n=56 interventions), and exclusion of any single study did not change the overall result. Although significant publication bias was found, the trim and fill method showed that the effect size changed to 0.26 (95% CI -0.01 to 0.54) after adjustment. In the subgroup analyses, pre-posttest study design, presence of exercises, and objective outcome assessment yielded larger effect sizes. Conclusions Blended learning appears to have a consistent positive effect in comparison with no intervention, and to be more effective than or at least as effective as nonblended instruction for knowledge acquisition in health professions. Due to the large heterogeneity, the conclusion should be treated with caution. PMID:26729058

Research on "STI +" Model in College Entrepreneurship Education

ERIC Educational Resources Information Center

Liu, Maike; Xu, Shuo; Gu, Jibao

2017-01-01

The current state attaches great importance to college entrepreneurship education, but entrepreneurship education should combine with college students' professional learning. Different professional learning backgrounds have commonalities in entrepreneurship education; there may be differences, too. Various professional knowledge background and…

Exploring educational needs and design aspects of internet-enabled patient education for persons with diabetes: a qualitative interview study

PubMed Central

Jafari, Javad; Karimi Moonaghi, Hosein; Zary, Nabil; Masiello, Italo

2016-01-01

Objective The objective of this article is to explore the educational needs and design aspects of personalised internet-enabled education for patients with diabetes in Iran. Design Data were collected using semistructured interviews and then qualitatively analysed using inductive content analysis. Participants 9 patients with type 2 diabetes were included. Inclusion criteria were access to and knowledge on how to use the internet. The selection ensured representation based on gender, age, occupation and educational background. Setting The sample population was patients with diabetes who were admitted to an outpatient diabetes clinic in Mashhad, a large city of Iran with about 3 million inhabitants. Results 4 core categories emerged from the data: (1) seeking knowledge about diabetes, including specific knowledge acquisition, patient's interactions and learning requirements; (2) teaching and learning, including using different teaching methods and different ways to learn about the disease; (3) facilitators, including internet and mobile phone use to learn about the disease; and (4) barriers, including lack of internet access, uncertainty of access to the internet and lack of website in the local language and also perceived cultural barriers, such as patients' fears of the internet, lack of time and awareness. Conclusions This study provides a better understanding of the patient's educational expectations and technical needs in relation to internet-enabled education. This knowledge will inform the development of functional mock-ups in the next research phase using a design-based research approach in order to design internet-enabled patient education for self-management of diabetes. PMID:27799245

Hand Rim Wheelchair Propulsion Training Using Biomechanical Real-Time Visual Feedback Based on Motor Learning Theory Principles

PubMed Central

Rice, Ian; Gagnon, Dany; Gallagher, Jere; Boninger, Michael

2010-01-01

Background/Objective: As considerable progress has been made in laboratory-based assessment of manual wheelchair propulsion biomechanics, the necessity to translate this knowledge into new clinical tools and treatment programs becomes imperative. The objective of this study was to describe the development of a manual wheelchair propulsion training program aimed to promote the development of an efficient propulsion technique among long-term manual wheelchair users. Methods: Motor learning theory principles were applied to the design of biomechanical feedback-based learning software, which allows for random discontinuous real-time visual presentation of key spatio-temporal and kinetic parameters. This software was used to train a long-term wheelchair user on a dynamometer during 3 low-intensity wheelchair propulsion training sessions over a 3-week period. Biomechanical measures were recorded with a SmartWheel during over ground propulsion on a 50-m level tile surface at baseline and 3 months after baseline. Results: Training software was refined and administered to a participant who was able to improve his propulsion technique by increasing contact angle while simultaneously reducing stroke cadence, mean resultant force, peak and mean moment out of plane, and peak rate of rise of force applied to the pushrim after training. Conclusions: The proposed propulsion training protocol may lead to favorable changes in manual wheelchair propulsion technique. These changes could limit or prevent upper limb injuries among manual wheelchair users. In addition, many of the motor learning theory–based techniques examined in this study could be applied to training individuals in various stages of rehabilitation to optimize propulsion early on. PMID:20397442

Dental Students’ Educational Achievement in Relation to Their Learning Styles: A Cross-sectional Study in Iran

PubMed Central

Hosseini, Seyed Masoud; Amery, Hamideh; Emadzadeh, Ali; Babazadeh, Saber

2015-01-01

Background and Objectives: In recent decades, many studies have been carried out on the importance of Kolb experiential learning theory (ELT) in teaching-learning processes and its effect on learning outcomes. However, some experts have criticized the Kolb theory and argue that there are some ambiguities on the validity of the theory as an important predictor of achievement. This study has been carried out on dental students’ educational achievement in relation to their dominant learning styles based on Kolb theory in Mashhad University of Medical Sciences (Iran). Methods: In a cross sectional study, Kolb Learning Style Inventory (LSI Ver. 3.1) as well as a questionnaire containing students’ demographic data, academic achievement marks including grade point average (GPA), theoretical and practical courses marks, and the comprehensive basic sciences exam (CBSE) scores were administered on a purposive sample of 162 dental students who had passed their comprehensive basic sciences exam. Educational achievement data were analyzed in relation to students’ dominant learning styles, using descriptive and analytical statistics including χ2, Kruskal-Wallis and two-way ANOVA tests. Results: The dominant learning styles of students were Assimilating (53.1%), Converging (24.1%), Diverging (14.2%) and Accommodating (8.6%). Although, the students with Assimilating and Converging learning styles had a better performance on their educational achievement, there was no significant relationship between educational achievement and dominant learning style (P≥0.05). Conclusion: Findings support that the dominant learning style is not exclusively an essential factor to predict educational achievement. Rather, it shows learning preferences of students that may be considered in designing learning opportunities by the teachers. PMID:26156915

Compiling a register of patients with moderate or severe learning disabilities: experience at one United Kingdom general practice.

PubMed

Lodge, Keri-Michèle; Milnes, David; Gilbody, Simon M

2011-03-01

Background Identifying patients with learning disabilities within primary care is central to initiatives for improving the health of this population. UK general practitioners (GPs) receive additional income for maintaining registers of patients with learning disabilities as part of the Quality and Outcomes Framework (QOF), and may opt to provide Directed Enhanced Services (DES), which requires practices to maintain registers of patients with moderate or severe learning disabilities and offer them annual health checks.Objectives This paper describes the development of a register of patients with moderate or severe learning disabilities at one UK general practice.Methods A Read code search of one UK general practice's electronic medical records was conducted in order to identify patients with learning disabilities. Confirmation of diagnoses was sought by scrutinising records and GP verification. Cross-referencing with the practice QOF register of patients with learning disabilities of any severity, and the local authority's list of clients with learning disabilities, was performed.Results Of 15 001 patients, 229 (1.5%) were identified by the Read code search as possibly having learning disabilities. Scrutiny of records and GP verification confirmed 64 had learning disabilities and 24 did not, but the presence or absence of learning disability remained unclear in 141 cases. Cross-referencing with the QOF register (n=81) and local authority list (n=49) revealed little overlap.Conclusion Identifying learning disability and assessing its severity are tasks GPs may be unfamiliar with, and relying on Read code searches may result in under-detection. Further research is needed to define optimum strategies for identifying, cross-referencing and validating practice-based registers of patients with learning disabilities.

Compiling a register of patients with moderate or severe learning disabilities: experience at one United Kingdom general practice

PubMed Central

2011-01-01

Background Identifying patients with learning disabilities within primary care is central to initiatives for improving the health of this population. UK general practitioners (GPs) receive additional income for maintaining registers of patients with learning disabilities as part of the Quality and Outcomes Framework (QOF), and may opt to provide Directed Enhanced Services (DES), which requires practices to maintain registers of patients with moderate or severe learning disabilities and offer them annual health checks. Objectives This paper describes the development of a register of patients with moderate or severe learning disabilities at one UK general practice. Methods A Read code search of one UK general practice's electronic medical records was conducted in order to identify patients with learning disabilities. Confirmation of diagnoses was sought by scrutinising records and GP verification. Cross-referencing with the practice QOF register of patients with learning disabilities of any severity, and the local authority's list of clients with learning disabilities, was performed. Results Of 15 001 patients, 229 (1.5%) were identified by the Read code search as possibly having learning disabilities. Scrutiny of records and GP verification confirmed 64 had learning disabilities and 24 did not, but the presence or absence of learning disability remained unclear in 141 cases. Cross-referencing with the QOF register (n=81) and local authority list (n=49) revealed little overlap. Conclusion Identifying learning disability and assessing its severity are tasks GPs may be unfamiliar with, and relying on Read code searches may result in under-detection. Further research is needed to define optimum strategies for identifying, cross-referencing and validating practice-based registers of patients with learning disabilities. PMID:22479290

Acceptance of E-Learning Devices by Dental Students

PubMed Central

Sagheb, Keyvan; Affeldt, Harald; Klumpp, Hannah; Taylor, Kathy; Walter, Christian; Al-Nawas, Bilal

2013-01-01

Background E-Learning programs and their corresponding devices are increasingly employed to educate dental students during their clinical training. Objective Recent progress made in the development of e-learning software as well as in hardware (computers, tablet PCs, smartphones) caused us to more closely investigate into the habits of dental students in dealing with these learning techniques. Methods Dental students during their clinical training attended a survey compiled in cooperation with biostatisticians. The questionnaire probands were asked to complete based on previous surveys of similar subjects, allowing single as well as multiple answers. The data, which were obtained with respect to the learning devices students commonly employ, were compared with their internet learning activities. Results The e-learning devices utilized are of heterogeneous brands. Each student has access to at least one hardware type suitable for e-learning. All students held mobile devices, about 90 percent employed laptops, and about 60 percent possess smartphones. Unexceptional all participants of the survey acknowledged an unlimited internet access. In contrast, only 16 percent of students utilized tablet PCs. A detailed analysis of the survey outcome reveals that an increasing use of mobile devices (tablet PC, smartphone) facilitates internet learning activities while at the same time utilization of computers (desktop, laptop) declines. Conclusions Dental students overwhelmingly accept e-learning during their clinical training. Students report outstanding preconditions to conduct e-learning as both their access to hardware and to the internet is excellent. Less satisfying is the outcome of our survey regarding the utilization of e-learning programs. Depending of the hardware employed only one-third to barely one-half of students comprise learning programs. PMID:25075241

Cerebellar tDCS Does Not Enhance Performance in an Implicit Categorization Learning Task.

PubMed

Verhage, Marie C; Avila, Eric O; Frens, Maarten A; Donchin, Opher; van der Geest, Jos N

2017-01-01

Background: Transcranial Direct Current Stimulation (tDCS) is a form of non-invasive electrical stimulation that changes neuronal excitability in a polarity and site-specific manner. In cognitive tasks related to prefrontal and cerebellar learning, cortical tDCS arguably facilitates learning, but the few studies investigating cerebellar tDCS, however, are inconsistent. Objective: We investigate the effect of cerebellar tDCS on performance of an implicit categorization learning task. Methods: Forty participants performed a computerized version of an implicit categorization learning task where squares had to be sorted into two categories, according to an unknown but fixed rule that integrated both the size and luminance of the square. Participants did one round of categorization to familiarize themselves with the task and to provide a baseline of performance. After that, 20 participants received anodal tDCS (20 min, 1.5 mA) over the right cerebellum, and 19 participants received sham stimulation and simultaneously started a second session of the categorization task using a new rule. Results: As expected, subjects performed better in the second session than in the first, baseline session, showing increased accuracy scores and reduced reaction times. Over trials, participants learned the categorization rule, improving their accuracy and reaction times. However, we observed no effect of anodal tDCS stimulation on overall performance or on learning, compared to sham stimulation. Conclusion: These results suggest that cerebellar tDCS does not modulate performance and learning on an implicit categorization task.

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,…

Bilayer segmentation of webcam videos using tree-based classifiers.

PubMed

Yin, Pei; Criminisi, Antonio; Winn, John; Essa, Irfan

2011-01-01

This paper presents an automatic segmentation algorithm for video frames captured by a (monocular) webcam that closely approximates depth segmentation from a stereo camera. The frames are segmented into foreground and background layers that comprise a subject (participant) and other objects and individuals. The algorithm produces correct segmentations even in the presence of large background motion with a nearly stationary foreground. This research makes three key contributions: First, we introduce a novel motion representation, referred to as "motons," inspired by research in object recognition. Second, we propose estimating the segmentation likelihood from the spatial context of motion. The estimation is efficiently learned by random forests. Third, we introduce a general taxonomy of tree-based classifiers that facilitates both theoretical and experimental comparisons of several known classification algorithms and generates new ones. In our bilayer segmentation algorithm, diverse visual cues such as motion, motion context, color, contrast, and spatial priors are fused by means of a conditional random field (CRF) model. Segmentation is then achieved by binary min-cut. Experiments on many sequences of our videochat application demonstrate that our algorithm, which requires no initialization, is effective in a variety of scenes, and the segmentation results are comparable to those obtained by stereo systems.

Youth Sports: A Pediatrician's Perspective on Coaching and Injury Prevention

PubMed Central

Koester, Michael C.

2000-01-01

Objective: My objective is to review the factors that influence youth participation in sports, to discuss the role coaches may play in youth sports injuries, and to call on athletic trainers and other health professionals to become involved in youth sports in an effort to limit injury risk. Background: Millions of American youths participate in team sports. Their primary motivation to participate is to have fun. Unfortunately, large numbers of participants have sustained correspondingly large numbers of injuries. Many injuries can be attributed to improper technique and conditioning methods taught by volunteer coaches. Although not the only contributors to injuries, these may be the most amenable to preventive measures, such as formal instruction for coaches in the areas of proper biomechanics and player-coach communication. Description: I provide an overview of the reasons why children participate in sports, discuss participation motivation, and review the literature on coaches' communication methods that have been proved effective in maximizing learning and enjoyment for young athletes. Clinical Advantages: This article provides certified athletic trainers with the background knowledge needed to take an active role in youth sports injury prevention at the community level. PMID:16558664

Gastroenterology Curriculum in the Canadian Medical School System.

PubMed

Dang, ThucNhi Tran; Wong, Clarence; Bistritz, Lana

2017-01-01

Background and Purpose. Gastroenterology is a diverse subspecialty that covers a wide array of topics. The preclinical gastroenterology curriculum is often the only formal training that medical students receive prior to becoming residents. There is no Canadian consensus on learning objectives or instructional methods and a general lack of awareness of curriculum at other institutions. This results in variable background knowledge for residents and lack of guidance for course development. Objectives. (1) Elucidate gastroenterology topics being taught at the preclinical level. (2) Determine instructional methods employed to teach gastroenterology content. Results . A curriculum map of gastroenterology topics was constructed from 10 of the medical schools that responded. Topics often not taught included pediatric GI diseases, surgery and trauma, food allergies/intolerances, and obesity. Gastroenterology was taught primarily by gastroenterologists and surgeons. Didactic and small group teaching was the most employed teaching method. Conclusion. This study is the first step in examining the Canadian gastroenterology curriculum at a preclinical level. The data can be used to inform curriculum development so that topics generally lacking are better incorporated in the curriculum. The study can also be used as a guide for further curriculum design and alignment across the country.

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 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…

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.

Task Demand Influences Relationships Among Sex, Clustering Strategy, and Recall: 16-Word Versus 9-Word List Learning Tests

PubMed Central

Sunderaraman, Preeti; Blumen, Helena M.; DeMatteo, David; Apa, Zoltan; Cosentino, Stephanie

2013-01-01

Objective We compared the relationships among sex, clustering strategy, and recall across different task demands using the 16-word California Verbal Learning Test–Second Edition (CVLT-II) and the 9-word Philadelphia (repeatable) Verbal Learning Test (PrVLT). Background Women generally score higher than men on verbal memory tasks, possibly because women tend to use semantic clustering. This sex difference has been established via word-list learning tests such as the CVLT-II. Methods In a retrospective between-group study, we compared how 2 separate groups of cognitively healthy older adults performed on a longer and a shorter verbal learning test. The group completing the CVLT-II had 36 women and 26 men; the group completing the PrVLT had 27 women and 21 men. Results Overall, multiple regression analyses revealed that semantic clustering was significantly associated with total recall on both tests’ lists (P < 0.001). Sex differences in recall and semantic clustering diminished with the shorter PrVLT word list. Conclusions Semantic clustering uniquely influenced recall on both the longer and shorter word lists. However, serial clustering and sex influenced recall depending on the length of the word list (ie, the task demand). These findings suggest a complex nonlinear relationship among verbal memory, clustering strategies, and task demand. PMID:23812171

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

Developing and Sustaining a Science and Technology Center Education Program: "Inquiry" as a Means for Organizational Change and Institutional Legitimacy

NASA Astrophysics Data System (ADS)

Ball, T.; Hunter, L.

2010-12-01

Formal organizations have become ubiquitous in contemporary society and since so many of us spend so much of our daily lives working, learning, and socializing in them it is important to understand not only how they govern our interactions but also how we can incite (and sustain) organizational change. This is especially true for STEM education; learning about science, technology, engineering or mathematics rarely occurs outside of formal settings and educators need to be aware of how learning goals, priorities and practices are permeable to the institutional processes that structure sponsoring organizations. Adopting a historical perspective, this paper reports on organizational changes at the Center for Adaptive Optics in relation to an emerging emphasis on inquiry learning. The results of our analysis show how the inquiry model functioned as a boundary object and was instrumental in transforming members' expectations and assumptions about educational practice in STEM while securing the institutional legitimacy of the CfAO as a whole. Our findings can inform the advancement of educational initiatives within the STEM research community and are particularly useful in relation to concerns around accommodating and integrating individuals from non-dominant backgrounds.

Teaching and assessing procedural skills: a qualitative study

PubMed Central

2013-01-01

Background Graduating Internal Medicine residents must possess sufficient skills to perform a variety of medical procedures. Little is known about resident experiences of acquiring procedural skills proficiency, of practicing these techniques, or of being assessed on their proficiency. The purpose of this study was to qualitatively investigate resident 1) experiences of the acquisition of procedural skills and 2) perceptions of procedural skills assessment methods available to them. Methods Focus groups were conducted in the weeks following an assessment of procedural skills incorporated into an objective structured clinical examination (OSCE). Using fundamental qualitative description, emergent themes were identified and analyzed. Results Residents perceived procedural skills assessment on the OSCE as a useful formative tool for direct observation and immediate feedback. This positive reaction was regularly expressed in conjunction with a frustration with available assessment systems. Participants reported that proficiency was acquired through resident directed learning with no formal mechanism to ensure acquisition or maintenance of skills. Conclusions The acquisition and assessment of procedural skills in Internal Medicine programs should move toward a more structured system of teaching, deliberate practice and objective assessment. We propose that directed, self-guided learning might meet these needs. PMID:23672617

VirSchool: The Effect of Background Music and Immersive Display Systems on Memory for Facts Learned in an Educational Virtual Environment

ERIC Educational Resources Information Center

Fassbender, Eric; Richards, Deborah; Bilgin, Ayse; Thompson, William Forde; Heiden, Wolfgang

2012-01-01

Game technology has been widely used for educational applications, however, despite the common use of background music in games, its effect on learning has been largely unexplored. This paper discusses how music played in the background of a computer-animated history lesson affected participants' memory for facts. A virtual history lesson was…

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…

2000 Military Recruiter Survey: Administration, Datasets and Codebook

DTIC Science & Technology

2002-08-01

recruiters who have not learned everything necessary from their training…………………...... f. Recruiters need constant pressure in order for them to make their...Distance learning ......................... j. Filling out electronic forms........... k. Other........................................... Background...e. It is my job to teach recruiters who have not learned everything necessary from their training…………………...... f. Recruiters need constant

Attitudes and Cultural Background and Their Relationship to Reading Comprehension in a Second Language: A Comparison of Three Different Social Contexts.

ERIC Educational Resources Information Center

Abu-Rabia, Salim

1996-01-01

Investigates the relationship of attitudes and cultural background to reading comprehension in the second language (L2) of Israeli Arab students learning Hebrew and Israeli Jewish and Canadian Arab students learning English. Results showed that the motivation of students to learning their L2 was instrumental rather than integrative, regardless of…

The Relationship Between Learning Style Preferences and Gender, Educational Major and Status in First Year Medical Students: A Survey Study From Iran

PubMed Central

Sarabi-Asiabar, Ali; Jafari, Mehdi; Sadeghifar, Jamil; Tofighi, Shahram; Zaboli, Rouhollah; Peyman, Hadi; Salimi, Mohammad; Shams, Lida

2014-01-01

Background: Identifying and employing appropriate learning styles could play an important role in selecting teaching styles in order to improve education. Objectives: This study aimed to determine the relationship between learning styles preferences and gender, educational major and status in first year students at Isfahan University of Medical Sciences. Patients and Methods: A cross-sectional study employing the visual-aural-read/write-kinesthetic (VARK) learning style’s questionnaire was done on 184 first year students of medicine, pharmacy, dentistry, nursing and health services management at Isfahan University of Medical Sciences in 2012. The validity of the questionnaire was assessed through experts’ views and reliability was calculated using Cronbach’s alpha coefficients (α = 0.86). Data were analyzed using the SPSS ver.18 software and x2 test. Results: Out of 184 participants who responded to and returned the questionnaire, 122 (66.3%) were female; more than two-thirds (68.5%) of the enrolled students were at the professional doctorate level (medicine, pharmacy, dentistry) and 31.5% at the undergraduate level (nursing and health services management). Eighty-nine (48.4%) students preferred a single-modal learning style. In contrast, the remaining 95 students (51.6%) preferred multi-modal learning styles. A significant relationship between gender and single modal learning styles (P = 0.009) and between status and learning styles (P = 0.04) was observed. Conclusions: According to the results, male students preferred to use the kinesthetic learning style more than females, while, female students preferred the aural learning style. Knowledge about the learning styles of students at educational institutes is valuable and helps solve learning problems among students, and allows students to become better learners. PMID:25763269

Magnetic imager and method

DOEpatents

Powell, J.; Reich, M.; Danby, G.

1997-07-22

A magnetic imager includes a generator for practicing a method of applying a background magnetic field over a concealed object, with the object being effective to locally perturb the background field. The imager also includes a sensor for measuring perturbations of the background field to detect the object. In one embodiment, the background field is applied quasi-statically. And, the magnitude or rate of change of the perturbations may be measured for determining location, size, and/or condition of the object. 25 figs.

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…

Improving Neuromuscular Monitoring and Reducing Residual Neuromuscular Blockade With E-Learning: Protocol for the Multicenter Interrupted Time Series INVERT Study

PubMed Central

Mathiesen, Ole; Hägi-Pedersen, Daniel; Skovgaard, Lene Theil; Østergaard, Doris; Engbaek, Jens; Gätke, Mona Ring

2017-01-01

Background Muscle relaxants facilitate endotracheal intubation under general anesthesia and improve surgical conditions. Residual neuromuscular blockade occurs when the patient is still partially paralyzed when awakened after surgery. The condition is associated with subjective discomfort and an increased risk of respiratory complications. Use of an objective neuromuscular monitoring device may prevent residual block. Despite this, many anesthetists refrain from using the device. Efforts to increase the use of objective monitoring are time consuming and require the presence of expert personnel. A neuromuscular monitoring e-learning module might support consistent use of neuromuscular monitoring devices. Objective The aim of the study is to assess the effect of a neuromuscular monitoring e-learning module on anesthesia staff’s use of objective neuromuscular monitoring and the incidence of residual neuromuscular blockade in surgical patients at 6 Danish teaching hospitals. Methods In this interrupted time series study, we are collecting data repeatedly, in consecutive 3-week periods, before and after the intervention, and we will analyze the effect using segmented regression analysis. Anesthesia departments in the Zealand Region of Denmark are included, and data from all patients receiving a muscle relaxant are collected from the anesthesia information management system MetaVision. We will assess the effect of the module on all levels of potential effect: staff’s knowledge and skills, patient care practice, and patient outcomes. The primary outcome is use of neuromuscular monitoring in patients according to the type of muscle relaxant received. Secondary outcomes include last recorded train-of-four value, administration of reversal agents, and time to discharge from the postanesthesia care unit as well as a multiple-choice test to assess knowledge. The e-learning module was developed based on a needs assessment process, including focus group interviews, surveys, and expert opinions. Results The e-learning module was implemented in 6 anesthesia departments on 21 November 2016. Currently, we are collecting postintervention data. The final dataset will include data from more than 10,000 anesthesia procedures. We expect to publish the results in late 2017 or early 2018. Conclusions With a dataset consisting of thousands of general anesthesia procedures, the INVERT study will assess whether an e-learning module can increase anesthetists’ use of neuromuscular monitoring. Trial Registration Clinicaltrials.gov NCT02925143; https://clinicaltrials.gov/ct2/show/NCT02925143 (Archived by WebCite® at http://www.webcitation.org/6s50iTV2x) PMID:28986337

Overview of NASA's Universe of Learning: An Integrated Astrophysics STEM Learning and Literacy Program

NASA Astrophysics Data System (ADS)

Smith, Denise; Lestition, Kathleen; Squires, Gordon; Biferno, Anya A.; Cominsky, Lynn; Manning, Colleen; NASA's Universe of Learning Team

2018-01-01

NASA's Universe of Learning creates and delivers science-driven, audience-driven resources and experiences designed to engage and immerse learners of all ages and backgrounds in exploring the universe for themselves. The project is the result of a unique partnership between the Space Telescope Science Institute, Caltech/IPAC, Jet Propulsion Laboratory, Smithsonian Astrophysical Observatory, and Sonoma State University, and is one of 27 competitively-selected cooperative agreements within the NASA Science Mission Directorate STEM Activation program. The NASA's Universe of Learning team draws upon cutting-edge science and works closely with Subject Matter Experts (scientists and engineers) from across the NASA Astrophysics Physics of the Cosmos, Cosmic Origins, and Exoplanet Exploration themes. Together we develop and disseminate data tools and participatory experiences, multimedia and immersive experiences, exhibits and community programs, and professional learning experiences that meet the needs of our audiences, with attention to underserved and underrepresented populations. In doing so, scientists and educators from the partner institutions work together as a collaborative, integrated Astrophysics team to support NASA objectives to enable STEM education, increase scientific literacy, advance national education goals, and leverage efforts through partnerships. Robust program evaluation is central to our efforts, and utilizes portfolio analysis, process studies, and studies of reach and impact. This presentation will provide an overview of NASA's Universe of Learning, our direct connection to NASA Astrophysics, and our collaborative work with the NASA Astrophysics science community.

Log In to Experiential Learning Theory: Supporting Web-Based Faculty Development

PubMed Central

Brien, Sarah; Parry, Marcus

2017-01-01

Background For an increasingly busy and geographically dispersed faculty, the Faculty of Medicine at the University of Southampton, United Kingdom, developed a range of Web-based faculty development modules, based on Kolb’s experiential learning cycle, to complement the faculty’s face-to-face workshops. Objective The objective of this study was to assess users’ views and perceptions of the effectiveness of Web-based faculty development modules based on Kolb’s experiential learning cycle. We explored (1) users’ satisfaction with the modules, (2) whether Kolb’s design framework supported users’ learning, and (3) whether the design principle impacts their work as educators. Methods We gathered data from users over a 3-year period using evaluation surveys built into each of the seven modules. Quantitative data were analyzed using descriptive statistics, and responses to open-ended questions were analyzed using content analysis. Results Out of the 409 module users, 283 completed the survey (69.1% response rate). Over 80% of the users reported being satisfied or very satisfied with seven individual aspects of the modules. The findings suggest a strong synergy between the design features that users rated most highly and the key stages of Kolb’s learning cycle. The use of simulations and videos to give the users an initial experience as well as the opportunity to “Have a go” and receive feedback in a safe environment were both considered particularly useful. In addition to providing an opportunity for reflection, many participants considered that the modules would enhance their roles as educators through: increasing their knowledge on various education topics and the required standards for medical training, and improving their skills in teaching and assessing students through practice and feedback and ultimately increasing their confidence. Conclusions Kolb’s theory-based design principle used for Web-based faculty development can support faculty to improve their skills and has impact on their role as educators. Grounding Web-based training in learning theory offers an effective and flexible approach for faculty development. PMID:28954718

Investigating the Use of Smartphones for Learning Purposes by Australian Dental Students

PubMed Central

Rung, Andrea; Warnke, Frauke

2014-01-01

Background Mobile Internet devices and smartphones have at present a significant potential as learning tools and the development of educational interventions based on smartphones have attracted increasing attention. Objective The objective of this study was to obtain a deeper insight in the nature of students’ use of smartphones, as well as their attitudes towards educational use of mobile devices in order to design successful teaching interventions. Method A questionnaire was designed, aiming to investigate the actual daily habitual use, as well as the attitudes of dental students towards smartphones for their university education purposes. The survey was used to collect data from 232 dental students. Results Of the 232 respondents, 204 (87.9%) owned a smartphone, and 191 (82.3%) had access to third generation (3G) mobile carriers. The most popular devices were the iPhone and Android. Most of the respondents had intermediate smartphone skills and used smartphones for a number of learning activities. Only 75/232 (32.3%) had specific educational applications installed, while 148/232 (63.7%) used smartphones to access to social media and found it valuable for their education (P<.05). Students accessing social media with their smartphones also showed significantly more advanced skills with smartphones than those who did not (P<.05). There was no significant association between age group, gender, origin, and smartphone skills. There was positive correlation between smartphone skills and students' attitudes toward improving access to learning material (r=.43, P<.05), helping to learn more independently (r=.44, P<.05), and use of smartphones by teaching staff (r=.45, P<.05). Conclusion The results in this study suggest that students use smartphones and social media for their education even though this technology has not been formally included in the curriculum. This might present an opportunity for educators to design educational methods, activities, and material that are suitable for smartphones and allow students to use this technology, thereby accommodating students’ current diverse learning approaches. PMID:25099261

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).…

Lessons Learned: Cultural and linguistic enhancement of surveys through community-based participatory research

PubMed Central

Formea, Christine M.; Mohamed, Ahmed A.; Hassan, Abdullahi; Osman, Ahmed; Weis, Jennifer A.; Sia, Irene G.; Wieland, Mark L.

2014-01-01

Background Surveys are frequently implemented in community-based participatory research (CBPR), but adaptation and translation of surveys can be logistically and methodologically challenging when working with immigrant and refugee populations. Objective To describe a process of participatory survey adaptation and translation. Methods Within an established CBPR partnership, a survey about diabetes was adapted for health literacy and local relevance and then translated through a process of forward translation, group deliberation, and back translation. Lessons Learned The group deliberation process was the most time-intensive and important component of the process. The process enhanced community ownership of the larger project while maximizing local applicability of the product. Conclusions A participatory process of survey adaptation and translation resulted in significant revisions to approximate semantic, cultural, and conceptual equivalence with the original surveys. This approach is likely to enhance community acceptance of the survey instrument during the implementation phase. PMID:25435559

Job Strain and Cognitive Decline: A Prospective Study of the Framingham Offspring Cohort

PubMed Central

Agbenyikey, W; Karasek, R; Cifuentes, M; Wolf, PA; Seshadri, S; Taylor, JA; Beiser, AS; Au, R

2017-01-01

Background Workplace stress is known to be related with many behavioral and disease outcomes. However, little is known about its prospective relationship with measures of cognitive decline. Objective To investigate the association of job strain, psychological demands and job control on cognitive decline. Methods Participants from Framingham Offspring cohort (n=1429), were assessed on job strain, and received neuropsychological assessment approximately 15 years and 21 years afterwards. Results High job strain and low control were associated with decline in verbal learning and memory. Job strain was associated with decline in word recognition skills. Active job and passive job predicted decline in verbal learning and memory relative to low strain jobs in the younger subgroup. Active job and demands were positively associated with abstract reasoning skills. Conclusions Job strain and job control may infuence decline in cognitive performance. PMID:25890602

Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels

PubMed Central

Sornapudi, Sudhir; Stanley, Ronald Joe; Stoecker, William V.; Almubarak, Haidar; Long, Rodney; Antani, Sameer; Thoma, George; Zuna, Rosemary; Frazier, Shelliane R.

2018-01-01

Background: Advances in image analysis and computational techniques have facilitated automatic detection of critical features in histopathology images. Detection of nuclei is critical for squamous epithelium cervical intraepithelial neoplasia (CIN) classification into normal, CIN1, CIN2, and CIN3 grades. Methods: In this study, a deep learning (DL)-based nuclei segmentation approach is investigated based on gathering localized information through the generation of superpixels using a simple linear iterative clustering algorithm and training with a convolutional neural network. Results: The proposed approach was evaluated on a dataset of 133 digitized histology images and achieved an overall nuclei detection (object-based) accuracy of 95.97%, with demonstrated improvement over imaging-based and clustering-based benchmark techniques. Conclusions: The proposed DL-based nuclei segmentation Method with superpixel analysis has shown improved segmentation results in comparison to state-of-the-art methods. PMID:29619277

An exploratory investigation of teaching innovations and learning factors in a lean manufacturing systems engineering course

NASA Astrophysics Data System (ADS)

Choomlucksana, Juthamas; Doolen, Toni L.

2017-11-01

The use of collaborative activities and simulation sessions in engineering education has been explored previously. However, few studies have investigated the relationship of these types of teaching innovations with other learner characteristics, such as self-efficacy and background knowledge. This study explored the effects of collaborative activities and simulation sessions on learning and the relationships between self-efficacy beliefs, background knowledge, and learning. Data were collected from two different terms in an upper division engineering course entitled Lean Manufacturing Systems Engineering. Findings indicated that the impact of collaborative activities and simulation sessions appears to be different, depending on the concepts being taught. Simulation sessions were found to have a significant effect on self-efficacy beliefs, and background knowledge had a mixed effect on learning. Overall the results of this study highlight the complex set of relationships between classroom innovations, learner characteristics, and learning.

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

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.

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.

Learning Clinical Procedures Through Internet Digital Objects: Experience of Undergraduate Students Across Clinical Faculties.

PubMed

Li, Tse Yan; Gao, Xiaoli; Wong, Kin; Tse, Christine Shuk Kwan; Chan, Ying Yee

2015-04-14

Various digital learning objects (DLOs) are available via the World Wide Web, showing the flow of clinical procedures. It is unclear to what extent these freely accessible Internet DLOs facilitate or hamper students' acquisition of clinical competence. This study aimed to understand the experience of undergraduate students across clinical disciplines-medicine, dentistry, and nursing-in using openly accessible Internet DLOs, and to investigate the role of Internet DLOs in facilitating their clinical learning. Mid-year and final-year groups were selected from each undergraduate clinical degree program of the University of Hong Kong-Bachelor of Medicine and Bachelor of Surgery (MBBS), Bachelor of Dental Surgery (BDS), and Bachelor of Nursing (BNurs). All students were invited to complete a questionnaire on their personal and educational backgrounds, and their experiences and views on using Internet DLOs in learning clinical procedures. The questionnaire design was informed by the findings of six focus groups. Among 439 respondents, 97.5% (428/439) learned a variety of clinical procedures through Internet DLOs. Most nursing students (107/122, 87.7%) learned preventive measures through Internet DLOs, with a lower percentage of medical students (99/215, 46.0%) and dental students (43/96, 45%) having learned them this way (both P<.001). Three-quarters (341/439, 77.7%) of students accessed DLOs through public search engines, whereas 93.2% (409/439) accessed them by watching YouTube videos. Students often shared DLOs with classmates (277/435, 63.7%), but rarely discussed them with teachers (54/436, 12.4%). The accuracy, usefulness, and importance of Internet DLOs were rated as 6.85 (SD 1.48), 7.27 (SD 1.53), and 7.13 (SD 1.72), respectively, out of a high score of 10. Self-exploration of DLOs in the unrestricted Internet environment is extremely common among current e-generation learners and was regarded by students across clinical faculties as an important supplement to their formal learning in the planned curriculum. This trend calls for a transformation of the educator's role from dispensing knowledge to guidance and support.

The gap between medical faculty’s perceptions and use of e-learning resources

PubMed Central

Kim, Kyong-Jee; Kang, Youngjoon; Kim, Giwoon

2017-01-01

ABSTRACT Background: e-Learning resources have become increasingly popular in medical education; however, there has been scant research on faculty perceptions and use of these resources. Objective: To investigate medical faculty’s use of e-learning resources and to draw on practical implications for fostering their use of such resources. Design: Approximately 500 full-time faculty members in 35 medical schools across the nation in South Korea were invited to participate in a 30-item questionnaire on their perceptions and use of e-learning resources in medical education. The questionnaires were distributed in both online and paper formats. Descriptive analysis and reliability analysis were conducted of the data. Results: Eighty faculty members from 28 medical schools returned the questionnaires. Twenty-two percent of respondents were female and 78% were male, and their rank, disciplines, and years of teaching experience all varied. Participants had positive perceptions of e-learning resources in terms of usefulness for student learning and usability; still, only 39% of them incorporated those resources in their teaching. The most frequently selected reasons for not using e-learning resources in their teaching were ‘lack of resources relevant to my lectures,’ ‘lack of time to use them during lectures,’ and ‘was not aware of their availability.’ Conclusions: Our study indicates a gap between medical faculty’s positive perceptions of e-learning resources and their low use of such resources. Our findings highlight the needs for further study of individual and institutional barriers to faculty adoption of e-learning resources to bridge this gap. PMID:28621242

Rationale and methodology of a collaborative learning project in congenital cardiac care

PubMed Central

Wolf, Michael J.; Lee, Eva K.; Nicolson, Susan C.; Pearson, Gail D.; Witte, Madolin K.; Huckaby, Jeryl; Gaies, Michael; Shekerdemian, Lara S.; Mahle, William T.

2018-01-01

Background Collaborative learning is a technique through which individuals or teams learn together by capitalizing on one another’s knowledge, skills, resources, experience, and ideas. Clinicians providing congenital cardiac care may benefit from collaborative learning given the complexity of the patient population and team approach to patient care. Rationale and development Industrial system engineers first performed broad-based time-motion and process analyses of congenital cardiac care programs at 5 Pediatric Heart Network core centers. Rotating multidisciplinary team site visits to each center were completed to facilitate deep learning and information exchange. Through monthly conference calls and an in-person meeting, we determined that duration of mechanical ventilation following infant cardiac surgery was one key variation that could impact a number of clinical outcomes. This was underscored by one participating center’s practice of early extubation in the majority of its patients. A consensus clinical practice guideline using collaborative learning was developed and implemented by multidisciplinary teams from the same 5 centers. The 1-year prospective initiative was completed in May 2015, and data analysis is under way. Conclusion Collaborative learning that uses multidisciplinary team site visits and information sharing allows for rapid structured fact-finding and dissemination of expertise among institutions. System modeling and machine learning approaches objectively identify and prioritize focused areas for guideline development. The collaborative learning framework can potentially be applied to other components of congenital cardiac care and provide a complement to randomized clinical trials as a method to rapidly inform and improve the care of children with congenital heart disease. PMID:26995379

Magnetic imager and method

DOEpatents

Powell, James; Reich, Morris; Danby, Gordon

1997-07-22

A magnetic imager 10 includes a generator 18 for practicing a method of applying a background magnetic field over a concealed object, with the object being effective to locally perturb the background field. The imager 10 also includes a sensor 20 for measuring perturbations of the background field to detect the object. In one embodiment, the background field is applied quasi-statically. And, the magnitude or rate of change of the perturbations may be measured for determining location, size, and/or condition of the object.

[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.

Simultaneous Communication Supports Learning in Noise by Cochlear Implant Users

PubMed Central

Blom, Helen C.; Marschark, Marc; Machmer, Elizabeth

2017-01-01

Objectives This study sought to evaluate the potential of using spoken language and signing together (simultaneous communication, SimCom, sign-supported speech) as a means of improving speech recognition, comprehension, and learning by cochlear implant users in noisy contexts. Methods Forty eight college students who were active cochlear implant users, watched videos of three short presentations, the text versions of which were standardized at the 8th grade reading level. One passage was presented in spoken language only, one was presented in spoken language with multi-talker babble background noise, and one was presented via simultaneous communication with the same background noise. Following each passage, participants responded to 10 (standardized) open-ended questions designed to assess comprehension. Indicators of participants’ spoken language and sign language skills were obtained via self-reports and objective assessments. Results When spoken materials were accompanied by signs, scores were significantly higher than when materials were spoken in noise without signs. Participants’ receptive spoken language skills significantly predicted scores in all three conditions; neither their receptive sign skills nor age of implantation predicted performance. Discussion Students who are cochlear implant users typically rely solely on spoken language in the classroom. The present results, however, suggest that there are potential benefits of simultaneous communication for such learners in noisy settings. For those cochlear implant users who know sign language, the redundancy of speech and signs potentially can offset the reduced fidelity of spoken language in noise. Conclusion Accompanying spoken language with signs can benefit learners who are cochlear implant users in noisy situations such as classroom settings. Factors associated with such benefits, such as receptive skills in signed and spoken modalities, classroom acoustics, and material difficulty need to be empirically examined. PMID:28010675

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…

Using research evidence to inform staff learning needs in cross-cultural communication in aged care homes.

PubMed

Gillham, David; De Bellis, Anita; Xiao, Lily; Willis, Eileen; Harrington, Ann; Morey, Wendy; Jeffers, Lesley

2018-04-01

Developed countries worldwide are facing an unprecedented demand for aged care services, with recent migrants of diverse linguistic and cultural backgrounds increasingly recruited as care workers while at the same time there is growing cultural diversity among aged care residents. This situation is compounded by rapidly changing technology and varied educational levels of care workers from diverse backgrounds. The objectives were threefold: to identify staff learning needs to enable them to provide high-quality cross-cultural care; to improve team cohesion; and identify preferred learning approaches. An interpretive qualitative study utilising focus group and interview data informed the development of an education resource. Fifty six care workers from four residential aged care facilities participated in either focus groups or interviews conducted in private meeting rooms within the care facilities. Participants included personal care attendants, registered and clinical nurses, managers, hospitality staff and allied health professionals. Focus group and interview data were categorised and thematically analysed. Data relevant to cross-cultural care, team cohesion and preferred learning approaches informed education resource development, including case studies. Major themes identified the need to promote cultural awareness and understanding, and strategies for cross-cultural care and communication. Themes related to team cohesion demonstrated that staff were already sympathetic and sensitive to cross-cultural issues, and that culturally and linguistically diverse staff add value to the workforce and are supported by the organisation. Staff required clear, uncomplicated education resources to equip them with skills to address problematic cultural situations. Preferred learning approaches varied and highlighted the need for varied educational materials and approaches, as well as time efficient, opportunistic education strategies for the busy workplace. An education package was developed to value cultural diversity in the aged care workplace for staff and residents, and provide an exemplar for evidence informed education. Copyright © 2018 Elsevier Ltd. All rights reserved.

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.

Staffing At-Risk School Districts in Texas: Problems and Prospects,

DTIC Science & Technology

1999-01-01

teachers is critical because "teachers from minonty backgrounds may be better prepared to meet the learning needs of an increasing pro...suggests that the teachers who learn about the students’ backgrounds, histories, and community organization can better serve the needs of high-risk... learning disabilities.2 . Diversity in the teaching force may foster knowledge and under- standing of different cultures on the part of all teachers

Communication in Collaborative Discovery Learning

ERIC Educational Resources Information Center

Saab, Nadira; van Joolingen, Wouter R.; van Hout-Wolters, Bernadette H. A. M.

2005-01-01

Background: Constructivist approaches to learning focus on learning environments in which students have the opportunity to construct knowledge themselves, and negotiate this knowledge with others. "Discovery learning" and "collaborative learning" are examples of learning contexts that cater for knowledge construction processes. We introduce a…

Figure-Ground Segmentation Using Factor Graphs

PubMed Central

Shen, Huiying; Coughlan, James; Ivanchenko, Volodymyr

2009-01-01

Foreground-background segmentation has recently been applied [26,12] to the detection and segmentation of specific objects or structures of interest from the background as an efficient alternative to techniques such as deformable templates [27]. We introduce a graphical model (i.e. Markov random field)-based formulation of structure-specific figure-ground segmentation based on simple geometric features extracted from an image, such as local configurations of linear features, that are characteristic of the desired figure structure. Our formulation is novel in that it is based on factor graphs, which are graphical models that encode interactions among arbitrary numbers of random variables. The ability of factor graphs to express interactions higher than pairwise order (the highest order encountered in most graphical models used in computer vision) is useful for modeling a variety of pattern recognition problems. In particular, we show how this property makes factor graphs a natural framework for performing grouping and segmentation, and demonstrate that the factor graph framework emerges naturally from a simple maximum entropy model of figure-ground segmentation. We cast our approach in a learning framework, in which the contributions of multiple grouping cues are learned from training data, and apply our framework to the problem of finding printed text in natural scenes. Experimental results are described, including a performance analysis that demonstrates the feasibility of the approach. PMID:20160994

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.

Blended learning approach improves teaching in a problem-based learning environment in orthopedics - a pilot study

PubMed Central

2014-01-01

Background While e-learning is enjoying increasing popularity as adjunct in modern teaching, studies on this topic should shift from mere evaluation of students’ satisfaction towards assessing its benefits on enhancement of knowledge and skills. This pilot study aimed to detect the teaching effects of a blended learning program on students of orthopedics and traumatology in the context of a problem-based learning environment. Methods The project NESTOR (network for students in traumatology and orthopedics) was offered to students in a problem-based learning course. Participants completed written tests before and directly after the course, followed by a final written test and an objective structured clinical examination (OSCE) as well as an evaluation questionnaire at the end of the semester. Results were compared within the group of NESTOR users and non-users and between these two groups. Results Participants (n = 53) rated their experiences very positively. An enhancement in knowledge was found directly after the course and at the final written test for both groups (p < 0.001). NESTOR users scored higher than non-users in the post-tests, while the OSCE revealed no differences between the groups. Conclusions This pilot study showed a positive effect of the blended learning approach on knowledge enhancement and satisfaction of participating students. However, it will be an aim for the future to further explore the chances of this approach and internet-based technologies for possibilities to improve also practical examination skills. PMID:24690365

A ball is not a Kong: Odor representation and search behavior in domestic dogs (Canis familiaris) of different education.

PubMed

Bräuer, Juliane; Belger, Julia

2018-05-01

There has been a growing interest in the cognitive skills of domestic dogs, but most current knowledge about dogs' understanding of their environment is limited to the visual or auditory modality. Although it is well known that dogs have an excellent olfactory sense and that they rely on olfaction heavily when exploring the environment or recognizing individuals, it remains unclear whether dogs perceive odors as representing specific objects. In the current study, we examined this aspect of dogs' perception of the world. Dogs were presented with a violation-of-expectation paradigm in which they could track the odor trail of one target (Target A), but at the end of the trail, they found another target (Target B). We explored (a) what dogs expect when they smell the trail of an object, (b) how they search for an object, and (c) how their educational background influences their ability to find a hidden object, by comparing family dogs and working dogs that had passed exams for police or rescue dogs. We found that all subjects showed a flexible searching behavior, with the working dogs being more effective but the family dogs learning to be effective over trials. In the first trial, dogs showed measurable signs of "surprise" (i.e., further searching for Target A) when they found Target B, which did not correspond to the odor of Target A from the trail. We conclude that dogs represent what they smell and search flexibly, which is independent from their educational background. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network

NASA Astrophysics Data System (ADS)

Negahdar, Mohammadreza; Beymer, David; Syeda-Mahmood, Tanveer

2018-02-01

Deep Learning models such as Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in 2D medical image analysis. In clinical practice; however, most analyzed and acquired medical data are formed of 3D volumes. In this paper, we present a fast and efficient 3D lung segmentation method based on V-net: a purely volumetric fully CNN. Our model is trained on chest CT images through volume to volume learning, which palliates overfitting problem on limited number of annotated training data. Adopting a pre-processing step and training an objective function based on Dice coefficient addresses the imbalance between the number of lung voxels against that of background. We have leveraged Vnet model by using batch normalization for training which enables us to use higher learning rate and accelerates the training of the model. To address the inadequacy of training data and obtain better robustness, we augment the data applying random linear and non-linear transformations. Experimental results on two challenging medical image data show that our proposed method achieved competitive result with a much faster speed.

Enhancing reading abilities of learners with intellectual impairments through computer technology

PubMed Central

Warnick, Albert M.

2017-01-01

Background Developments in the teaching of children with disabilities support pedagogy that emphasises learners’ strengths as opposed to their assumed deficiencies. Educators and mediators who advocate this view continually strive for tools and methodologies that enhance learner participation in academic environments. Computer technology is one of the tools recognised for its potential to enrich learning experiences of learners with an intellectual impairment. Objectives We sought to assess the influence of text-to-speech stories on the reading ability of intellectually challenged learners. Method A qualitative action research study that involves learners at a special school in Cape Town, South Africa. Pre- and post-test data of the reading performance of learners are analysed with a focus on how they demonstrate change. Results Although no claims can be made about the explicit influence on reading performance, computer-assisted learning has the potential in isolating reading processes that classroom-based interventions can address. In addition, computers enhance motivation and enthusiasm to learn. Conclusion A need for education based on inclusion and positive differentiation remains the key driver in any educational interventions. PMID:28951849

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.

PubMed

Hong, Weizhe; Kennedy, Ann; Burgos-Artizzu, Xavier P; Zelikowsky, Moriel; Navonne, Santiago G; Perona, Pietro; Anderson, David J

2015-09-22

A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new integrated hardware and software system that combines video tracking, depth sensing, and machine learning for automatic detection and quantification of social behaviors involving close and dynamic interactions between two mice of different coat colors in their home cage. We designed a hardware setup that integrates traditional video cameras with a depth camera, developed computer vision tools to extract the body "pose" of individual animals in a social context, and used a supervised learning algorithm to classify several well-described social behaviors. We validated the robustness of the automated classifiers in various experimental settings and used them to examine how genetic background, such as that of Black and Tan Brachyury (BTBR) mice (a previously reported autism model), influences social behavior. Our integrated approach allows for rapid, automated measurement of social behaviors across diverse experimental designs and also affords the ability to develop new, objective behavioral metrics.

Evaluating a Speech-Language Pathology Technology

PubMed Central

Spinardi-Panes, Ana Carulina; Lopes-Herrera, Simone Aparecida; Maximino, Luciana Paula

2014-01-01

Abstract Background: The creation of new educational strategies based on technology is the essence of telehealth. This innovative learning is an alternative to promote integration and improve the professional practices in speech-language pathology (SLP). The objective of this study was to evaluate an SLP technology designed for distance learning. Materials and Methods: The survey selected fourth-year SLP students (n=60) from three public universities in the state of São Paulo, Brazil. The experimental group (EG) contained 10 students from each university (n=30), and the remaining students formed the control group (CG). Initially, both groups answered a preprotocol questionnaire, and the EG students received the technology, the recommendations, and the deadline to explore the material. In the second stage all students answered the postprotocol questionnaire in order to evaluate the validity and the learning of the technology contents. Results: The comparison between the CG students showed that their performance worsened in the majority in comparison with the EG students, who showed an improved performance. Conclusions: Therefore, this study concluded that the technology instrument actually responded to the population studied and is recommended to complement traditional teaching. PMID:24404815

Evaluating Community-Based Participatory Research to Improve Community-Partnered Science and Community Health

PubMed Central

Hicks, Sarah; Duran, Bonnie; Wallerstein, Nina; Avila, Magdalena; Belone, Lorenda; Lucero, Julie; Magarati, Maya; Mainer, Elana; Martin, Diane; Muhammad, Michael; Oetzel, John; Pearson, Cynthia; Sahota, Puneet; Simonds, Vanessa; Sussman, Andrew; Tafoya, Greg; Hat, Emily White

2013-01-01

Background Since 2007, the National Congress of American Indians (NCAI) Policy Research Center (PRC) has partnered with the Universities of New Mexico and Washington to study the science of community-based participatory research (CBPR). Our goal is to identify facilitators and barriers to effective community–academic partnerships in American Indian and other communities, which face health disparities. Objectives We have described herein the scientific design of our National Institutes of Health (NIH)-funded study (2009–2013) and lessons learned by having a strong community partner leading the research efforts. Methods The research team is implementing a mixed-methods study involving a survey of principal investigators (PIs) and partners across the nation and in-depth case studies of CBPR projects. Results We present preliminary findings on methods and measures for community-engaged research and eight lessons learned thus far regarding partnership evaluation, advisory councils, historical trust, research capacity development of community partner, advocacy, honoring each other, messaging, and funding. Conclusions Study methodologies and lessons learned can help community–academic research partnerships translate research in communities. PMID:22982842

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning

PubMed Central

Hong, Weizhe; Kennedy, Ann; Burgos-Artizzu, Xavier P.; Zelikowsky, Moriel; Navonne, Santiago G.; Perona, Pietro; Anderson, David J.

2015-01-01

A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new integrated hardware and software system that combines video tracking, depth sensing, and machine learning for automatic detection and quantification of social behaviors involving close and dynamic interactions between two mice of different coat colors in their home cage. We designed a hardware setup that integrates traditional video cameras with a depth camera, developed computer vision tools to extract the body “pose” of individual animals in a social context, and used a supervised learning algorithm to classify several well-described social behaviors. We validated the robustness of the automated classifiers in various experimental settings and used them to examine how genetic background, such as that of Black and Tan Brachyury (BTBR) mice (a previously reported autism model), influences social behavior. Our integrated approach allows for rapid, automated measurement of social behaviors across diverse experimental designs and also affords the ability to develop new, objective behavioral metrics. PMID:26354123

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.

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

PubMed Central

Hauffen, Karin; Bart, Eugene; Brady, Mark; Kersten, Daniel; Hegdé, Jay

2012-01-01

In order to quantitatively study object perception, be it perception by biological systems or by machines, one needs to create objects and object categories with precisely definable, preferably naturalistic, properties1. Furthermore, for studies on perceptual learning, it is useful to create novel objects and object categories (or object classes) with such properties2. Many innovative and useful methods currently exist for creating novel objects and object categories3-6 (also see refs. 7,8). However, generally speaking, the existing methods have three broad types of shortcomings. First, shape variations are generally imposed by the experimenter5,9,10, and may therefore be different from the variability in natural categories, and optimized for a particular recognition algorithm. It would be desirable to have the variations arise independently of the externally imposed constraints. Second, the existing methods have difficulty capturing the shape complexity of natural objects11-13. If the goal is to study natural object perception, it is desirable for objects and object categories to be naturalistic, so as to avoid possible confounds and special cases. Third, it is generally hard to quantitatively measure the available information in the stimuli created by conventional methods. It would be desirable to create objects and object categories where the available information can be precisely measured and, where necessary, systematically manipulated (or 'tuned'). This allows one to formulate the underlying object recognition tasks in quantitative terms. Here we describe a set of algorithms, or methods, that meet all three of the above criteria. Virtual morphogenesis (VM) creates novel, naturalistic virtual 3-D objects called 'digital embryos' by simulating the biological process of embryogenesis14. Virtual phylogenesis (VP) creates novel, naturalistic object categories by simulating the evolutionary process of natural selection9,12,13. Objects and object categories created by these simulations can be further manipulated by various morphing methods to generate systematic variations of shape characteristics15,16. The VP and morphing methods can also be applied, in principle, to novel virtual objects other than digital embryos, or to virtual versions of real-world objects9,13. Virtual objects created in this fashion can be rendered as visual images using a conventional graphical toolkit, with desired manipulations of surface texture, illumination, size, viewpoint and background. The virtual objects can also be 'printed' as haptic objects using a conventional 3-D prototyper. We also describe some implementations of these computational algorithms to help illustrate the potential utility of the algorithms. It is important to distinguish the algorithms from their implementations. The implementations are demonstrations offered solely as a 'proof of principle' of the underlying algorithms. It is important to note that, in general, an implementation of a computational algorithm often has limitations that the algorithm itself does not have. Together, these methods represent a set of powerful and flexible tools for studying object recognition and perceptual learning by biological and computational systems alike. With appropriate extensions, these methods may also prove useful in the study of morphogenesis and phylogenesis. PMID:23149420

Interrater and Intrarater Reliability of the Tuck Jump Assessment by Health Professionals of Varied Educational Backgrounds

PubMed Central

Dudley, Lisa A.; Smith, Craig A.; Olson, Brandon K.; Chimera, Nicole J.

2013-01-01

Objective. The Tuck Jump Assessment (TJA), a clinical plyometric assessment, identifies 10 jumping and landing technique flaws. The study objective was to investigate TJA interrater and intrarater reliability with raters of different educational and clinical backgrounds. Methods. 40 participants were video recorded performing the TJA using published protocol and instructions. Five raters of varied educational and clinical backgrounds scored the TJA. Each score of the 10 technique flaws was summed for the total TJA score. Approximately one month later, 3 raters scored the videos again. Intraclass correlation coefficients determined interrater (5 and 3 raters for first and second session, resp.) and intrarater (3 raters) reliability. Results. Interrater reliability with 5 raters was poor (ICC = 0.47; 95% confidence intervals (CI) 0.33–0.62). Interrater reliability between 3 raters who completed 2 scoring sessions improved from 0.52 (95% CI 0.35–0.68) for session one to 0.69 (95% CI 0.55–0.81) for session two. Intrarater reliability was poor to moderate, ranging from 0.44 (95% CI 0.22–0.68) to 0.72 (95% CI 0.55–0.84). Conclusion. Published protocol and training of raters were insufficient to allow consistent TJA scoring. There may be a learned effect with the TJA since interrater reliability improved with repetition. TJA instructions and training should be modified and enhanced before clinical implementation. PMID:26464881

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…

Learning to predict where human gaze is using quaternion DCT based regional saliency detection

NASA Astrophysics Data System (ADS)

Li, Ting; Xu, Yi; Zhang, Chongyang

2014-09-01

Many current visual attention approaches used semantic features to accurately capture human gaze. However, these approaches demand high computational cost and can hardly be applied to daily use. Recently, some quaternion-based saliency detection models, such as PQFT (phase spectrum of Quaternion Fourier Transform), QDCT (Quaternion Discrete Cosine Transform), have been proposed to meet real-time requirement of human gaze tracking tasks. However, current saliency detection methods used global PQFT and QDCT to locate jump edges of the input, which can hardly detect the object boundaries accurately. To address the problem, we improved QDCT-based saliency detection model by introducing superpixel-wised regional saliency detection mechanism. The local smoothness of saliency value distribution is emphasized to distinguish noises of background from salient regions. Our algorithm called saliency confidence can distinguish the patches belonging to the salient object and those of the background. It decides whether the image patches belong to the same region. When an image patch belongs to a region consisting of other salient patches, this patch should be salient as well. Therefore, we use saliency confidence map to get background weight and foreground weight to do the optimization on saliency map obtained by QDCT. The optimization is accomplished by least square method. The optimization approach we proposed unifies local and global saliency by combination of QDCT and measuring the similarity between each image superpixel. We evaluate our model on four commonly-used datasets (Toronto, MIT, OSIE and ASD) using standard precision-recall curves (PR curves), the mean absolute error (MAE) and area under curve (AUC) measures. In comparison with most state-of-art models, our approach can achieve higher consistency with human perception without training. It can get accurate human gaze even in cluttered background. Furthermore, it achieves better compromise between speed and accuracy.

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…

How Object, Situation and Personality Shape Human Attitude in Learning: An Activity Perspective and a Multilevel Modeling Approach

ERIC Educational Resources Information Center

Sun, Jun

2009-01-01

Based on Activity Theory, this article examines attitude formation in human learning as shaped by the experiences of individual learners with various learning objects in particular learning contexts. It hypothesizes that a learner's object-related perceptions, personality traits and situational perceptions may have different relationships with the…

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…

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.

Does Family Background Matter for Learning in East Africa?

ERIC Educational Resources Information Center

Jones, Sam; Schipper, Youdi

2015-01-01

The extent to which differences in family background characteristics explain differences in learning outcomes between children captures the extent of equality in educational opportunities. This study uses large-scale data on literacy and numeracy outcomes for children of school age across East Africa (Kenya, Tanzania and Uganda) to investigate the…

Profiling Student Use of Calculators in the Learning of High School Mathematics

ERIC Educational Resources Information Center

Crowe, Cheryll E.; Ma, Xin

2010-01-01

Using data from the 2005 National Assessment of Educational Progress, students' use of calculators in the learning of high school mathematics was profiled based on their family background, curriculum background, and advanced mathematics coursework. A statistical method new to educational research--classification and regression trees--was applied…

Establishing Positive Learning Environments for Students of Chinese American and Latino Backgrounds

ERIC Educational Resources Information Center

Wong-Lo, Mickie; Cortez, Gabriel A.

2014-01-01

Cultivating positive learning environments for underrepresented groups such as students of Chinese American and Latino backgrounds require careful planning and consideration. As our society strives to embrace individual differences of all cultures, educators must equip themselves with effective tools to adapt to the ever-changing dynamics within…

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…

The Relationship Between Engagement and Neurophysiological Measures of Attention in Motion-Controlled Video Games: A Randomized Controlled Trial

PubMed Central

Brewer, Lauren; Nelson, Monica; Siow, Maria

2016-01-01

Background Video games and virtual environments continue to be the subject of research in health sciences for their capacity to augment practice through user engagement. Creating game mechanics that increase user engagement may have indirect benefits on learning (ie, engaged learners are likely to practice more) and may also have direct benefits on learning (ie, for a fixed amount of practice, engaged learners show superior retention of information or skills). Objective To manipulate engagement through the aesthetic features of a motion-controlled video game and measure engagement’s influence on learning. Methods A group of 40 right-handed participants played the game under two different conditions (game condition or sterile condition). The mechanics of the game and the amount of practice were constant. During practice, event-related potentials (ERPs) to task-irrelevant probe tones were recorded during practice as an index of participants’ attentional reserve. Participants returned for retention and transfer testing one week later. Results Although both groups improved in the task, there was no difference in the amount of learning between the game and sterile groups, countering previous research. A new finding was a statistically significant relationship between self-reported engagement and the amplitude of the early-P3a (eP3a) component of the ERP waveform, such that participants who reported higher levels of engagement showed a smaller eP3a (beta=−.08, P=.02). Conclusions This finding provides physiological data showing that engagement elicits increased information processing (reducing attentional reserve), which yields new insight into engagement and its underlying neurophysiological properties. Future studies may objectively index engagement by quantifying ERPs (specifically the eP3a) to task-irrelevant probes. PMID:27103052

The relationship between autonomous motivation and autonomy support in medical students’ academic achievement

PubMed Central

Soemantri, Diantha; Jusuf, Anwar

2016-01-01

Objectives This study applied self-determination theory (SDT) to investigate the relationship between students’ autonomous motivation and tutors’ autonomy support in medical students’ academic achievement. Methods This was a cross-sectional study. Out of 204 students in a fundamental medical science course, 199 participated in the study. Data was collected using two questionnaires: the Learning Self-Regulation and Learning Climate Questionnaires. The score of the course assessment was the measure of academic achievement. Data was analyzed and reported with descriptive and inferential statistics (mean, standard deviation and multiple regression analysis).  Results Mean score (±standard deviation) of the autonomous motivation, tutors’ autonomy support, and academic achievement were 5.48±0.89, 5.22±0.92, and 5.22±0.92. Multiple regression results reported students’ autonomous motivation was associated with improvement of students’ academic achievement (β=15.2, p=0.004). However, augmentation of tutors’ autonomy support was not reflected in the improvement of students’ academic achievement (β = -12.6, p = 0.019). Both students’ autonomous motivation and tutors’ autonomy support had a contribution of about 4.2% students’ academic achievement (F = 4.343, p = 0.014, R2 = 0.042). Conclusions Due to the unique characteristic of our medical students’ educational background, our study shows that tutors’ autonomy support is inconsistent with students’ academic achievement. However, both autonomous motivation and support are essential to students’ academic achievement. Further study is needed to explore students’ educational background and self-regulated learning competence to improve students’ academic achievement.               PMID:28035054

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

The amount of decrease of the background white noise intensity as a cue for differentiation training.

PubMed

Zieliński, K

1981-01-01

The course of differentiation learning, using the conditioned emotional response (CER) method, was investigated in two groups of 16 rats. The discriminative stimuli consisted of decreases in the 80 dB background white noise to either 70 dB or 60 dB. Differentiation learning was more efficient with the larger decrease of background noise intensity as the CS(+) and the smaller decrease as the CS(-) than vice versa.

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.

The effect of background and illumination on color identification of real, 3D objects.

PubMed

Allred, Sarah R; Olkkonen, Maria

2013-01-01

For the surface reflectance of an object to be a useful cue to object identity, judgments of its color should remain stable across changes in the object's environment. In 2D scenes, there is general consensus that color judgments are much more stable across illumination changes than background changes. Here we investigate whether these findings generalize to real 3D objects. Observers made color matches to cubes as we independently varied both the illumination impinging on the cube and the 3D background of the cube. As in 2D scenes, we found relatively high but imperfect stability of color judgments under an illuminant shift. In contrast to 2D scenes, we found that background had little effect on average color judgments. In addition, variability of color judgments was increased by an illuminant shift and decreased by embedding the cube within a background. Taken together, these results suggest that in real 3D scenes with ample cues to object segregation, the addition of a background may improve stability of color identification.

Learning Object Names at Different Hierarchical Levels Using Cross-Situational Statistics.

PubMed

Chen, Chi-Hsin; Zhang, Yayun; Yu, Chen

2018-05-01

Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co-occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input. Copyright © 2017 Cognitive Science Society, Inc.

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…

Reimagining Human Research Protections for 21st Century Science

PubMed Central

Bietz, Matthew; Bae, Deborah; Bigby, Barbara; Devereaux, Mary; Fowler, James; Waldo, Ann; Weibel, Nadir; Patrick, Kevin; Klemmer, Scott; Melichar, Lori

2016-01-01

Background Evolving research practices and new forms of research enabled by technological advances require a redesigned research oversight system that respects and protects human research participants. Objective Our objective was to generate creative ideas for redesigning our current human research oversight system. Methods A total of 11 researchers and institutional review board (IRB) professionals participated in a January 2015 design thinking workshop to develop ideas for redesigning the IRB system. Results Ideas in 5 major domains were generated. The areas of focus were (1) improving the consent form and process, (2) empowering researchers to protect their participants, (3) creating a system to learn from mistakes, (4) improving IRB efficiency, and (5) facilitating review of research that leverages technological advances. Conclusions We describe the impetus for and results of a design thinking workshop to reimagine a human research protections system that is responsive to 21st century science. PMID:28007687

A Community-Based Participatory Approach to Personalized, Computer-Generated Nutrition Feedback Reports: The Healthy Environments Partnership

PubMed Central

Kannan, Srimathi; Schulz, Amy; Israel, Barbara; Ayra, Indira; Weir, Sheryl; Dvonch, Timothy J.; Rowe, Zachary; Miller, Patricia; Benjamin, Alison

2008-01-01

Background Computer tailoring and personalizing recommendations for dietary health-promoting behaviors are in accordance with community-based participatory research (CBPR) principles, which emphasizes research that benefits the participants and community involved. Objective To describe the CBPR process utilized to computer-generate and disseminate personalized nutrition feedback reports (NFRs) for Detroit Healthy Environments Partnership (HEP) study participants. METHODS The CBPR process included discussion and feedback from HEP partners on several draft personalized reports. The nutrition feedback process included defining the feedback objectives; prioritizing the nutrients; customizing the report design; reviewing and revising the NFR template and readability; producing and disseminating the report; and participant follow-up. Lessons Learned Application of CBPR principles in designing the NFR resulted in a reader-friendly product with useful recommendations to promote heart health. Conclusions A CBPR process can enhance computer tailoring of personalized NFRs to address racial and socioeconomic disparities in cardiovascular disease (CVD). PMID:19337572

Interactive visuo-motor therapy system for stroke rehabilitation.

PubMed

Eng, Kynan; Siekierka, Ewa; Pyk, Pawel; Chevrier, Edith; Hauser, Yves; Cameirao, Monica; Holper, Lisa; Hägni, Karin; Zimmerli, Lukas; Duff, Armin; Schuster, Corina; Bassetti, Claudio; Verschure, Paul; Kiper, Daniel

2007-09-01

We present a virtual reality (VR)-based motor neurorehabilitation system for stroke patients with upper limb paresis. It is based on two hypotheses: (1) observed actions correlated with self-generated or intended actions engage cortical motor observation, planning and execution areas ("mirror neurons"); (2) activation in damaged parts of motor cortex can be enhanced by viewing mirrored movements of non-paretic limbs. We postulate that our approach, applied during the acute post-stroke phase, facilitates motor re-learning and improves functional recovery. The patient controls a first-person view of virtual arms in tasks varying from simple (hitting objects) to complex (grasping and moving objects). The therapist adjusts weighting factors in the non-paretic limb to move the paretic virtual limb, thereby stimulating the mirror neuron system and optimizing patient motivation through graded task success. We present the system's neuroscientific background, technical details and preliminary results.

Stress profile influences learning approach in a marine fish

PubMed Central

Trompf, Larissa; Williamson, Jane E.; Brown, Culum

2017-01-01

The spatial learning skills of high and low stress juvenile mulloway (Argyrosomus japonicus) were tested in a dichotomous choice apparatus. Groups of fish were formed based on background blood cortisol levels and required to learn the location of a food reward hidden in one of two compartments. Low stress fish characterised by low background levels of the stress hormone cortisol had higher activity levels and entered both rewarded and unrewarded rooms frequently. Within the first week of exposure, however, their preference for the rewarded room increased, indicative of learning. Fish that had high background levels of cortisol, in contrast, showed low levels of activity but when they chose between the two rooms they chose the rewarded room most often but showed less improvement over time. After 12 days in the apparatus, both low and high stress fish had similar ratios of rewarded vs unrewarded room entrances. Our results suggest that proactive coping styles may increase exposure to novel contexts and thus favour faster learning but at the cost of reduced initial accuracy. PMID:28607840

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…

Developing the OBTL Curriculum with Blended Learning to Enhance Student Learning Effectiveness in the Undergraduate ECE Program

ERIC Educational Resources Information Center

Leung, Chi-hung

2012-01-01

Background: The project included continuous assessment, group presentation, self-learning, and individual assignment to assess students' learning outcomes. A self-learning system was set up as e-learning for students to monitor their learning progress during the semester, including two online exercises and a checklist of learning outcomes. The…

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.

Implementation of a General Real-Time Visual Anomaly Detection System Via Soft Computing

NASA Technical Reports Server (NTRS)

Dominguez, Jesus A.; Klinko, Steve; Ferrell, Bob; Steinrock, Todd (Technical Monitor)

2001-01-01

The intelligent visual system detects anomalies or defects in real time under normal lighting operating conditions. The application is basically a learning machine that integrates fuzzy logic (FL), artificial neural network (ANN), and generic algorithm (GA) schemes to process the image, run the learning process, and finally detect the anomalies or defects. The system acquires the image, performs segmentation to separate the object being tested from the background, preprocesses the image using fuzzy reasoning, performs the final segmentation using fuzzy reasoning techniques to retrieve regions with potential anomalies or defects, and finally retrieves them using a learning model built via ANN and GA techniques. FL provides a powerful framework for knowledge representation and overcomes uncertainty and vagueness typically found in image analysis. ANN provides learning capabilities, and GA leads to robust learning results. An application prototype currently runs on a regular PC under Windows NT, and preliminary work has been performed to build an embedded version with multiple image processors. The application prototype is being tested at the Kennedy Space Center (KSC), Florida, to visually detect anomalies along slide basket cables utilized by the astronauts to evacuate the NASA Shuttle launch pad in an emergency. The potential applications of this anomaly detection system in an open environment are quite wide. Another current, potentially viable application at NASA is in detecting anomalies of the NASA Space Shuttle Orbiter's radiator panels.

Establishing a library of resources to help people understand key concepts in assessing treatment claims—The “Critical thinking and Appraisal Resource Library” (CARL)

PubMed Central

Chalmers, Iain; Atkinson, Patricia; Badenoch, Douglas; Oxman, Andrew D.; Austvoll-Dahlgren, Astrid; Nordheim, Lena; Krause, L. Kendall; Schwartz, Lisa M.; Woloshin, Steven; Burls, Amanda; Mosconi, Paola; Hoffmann, Tammy; Cusack, Leila; Albarqouni, Loai; Glasziou, Paul

2017-01-01

Background People are frequently confronted with untrustworthy claims about the effects of treatments. Uncritical acceptance of these claims can lead to poor, and sometimes dangerous, treatment decisions, and wasted time and money. Resources to help people learn to think critically about treatment claims are scarce, and they are widely scattered. Furthermore, very few learning-resources have been assessed to see if they improve knowledge and behavior. Objectives Our objectives were to develop the Critical thinking and Appraisal Resource Library (CARL). This library was to be in the form of a database containing learning resources for those who are responsible for encouraging critical thinking about treatment claims, and was to be made available online. We wished to include resources for groups we identified as ‘intermediaries’ of knowledge, i.e. teachers of schoolchildren, undergraduates and graduates, for example those teaching evidence-based medicine, or those communicating treatment claims to the public. In selecting resources, we wished to draw particular attention to those resources that had been formally evaluated, for example, by the creators of the resource or independent research groups. Methods CARL was populated with learning-resources identified from a variety of sources—two previously developed but unmaintained inventories; systematic reviews of learning-interventions; online and database searches; and recommendations by members of the project group and its advisors. The learning-resources in CARL were organised by ‘Key Concepts’ needed to judge the trustworthiness of treatment claims, and were made available online by the James Lind Initiative in Testing Treatments interactive (TTi) English (www.testingtreatments.org/category/learning-resources).TTi English also incorporated the database of Key Concepts and the Claim Evaluation Tools developed through the Informed Healthcare Choices (IHC) project (informedhealthchoices.org). Results We have created a database of resources called CARL, which currently contains over 500 open-access learning-resources in a variety of formats: text, audio, video, webpages, cartoons, and lesson materials. These are aimed primarily at ‘Intermediaries’, that is, ‘teachers’, ‘communicators’, ‘advisors’, ‘researchers’, as well as for independent ‘learners’. The resources included in CARL are currently accessible at www.testingtreatments.org/category/learning-resources Conclusions We hope that ready access to CARL will help to promote the critical thinking about treatment claims, needed to help improve healthcare choices. PMID:28738058

The perception of 3-D shape from shadows cast onto curved surfaces.

PubMed

Norman, J Farley; Lee, Young-lim; Phillips, Flip; Norman, Hideko F; Jennings, L RaShae; McBride, T Ryan

2009-05-01

In a natural environment, cast shadows abound. Objects cast shadows both upon themselves and upon background surfaces. Previous research on the perception of 3-D shape from cast shadows has only examined the informativeness of shadows cast upon flat background surfaces. In outdoor environments, however, background surfaces often possess significant curvature (large rocks, trees, hills, etc.), and this background curvature distorts the shape of cast shadows. The purpose of this study was to determine the extent to which observers can "discount" the distorting effects of curved background surfaces. In our experiments, observers viewed deforming or static shadows of naturally shaped objects, which were cast upon flat and curved background surfaces. The results showed that the discrimination of 3-D object shape from cast shadows was generally invariant over the distortions produced by hemispherical background surfaces. The observers often had difficulty, however, in identifying the shadows cast onto saddle-shaped background surfaces. The variations in curvature which occur in different directions on saddle-shaped background surfaces cause shadow distortions that lead to difficulties in object recognition and discrimination.

Pre-Existing Background Knowledge Influences Socioeconomic Differences in Preschoolers' Word Learning and Comprehension

ERIC Educational Resources Information Center

Kaefer, Tanya; Neuman, Susan B.; Pinkham, Ashley M.

2015-01-01

The goal of the current study is to explore the influence of knowledge on socioeconomic discrepancies in word learning and comprehension. After establishing socioeconomic differences in background knowledge (Study 1), the authors presented children with a storybook that incorporates this knowledge (Study 2). Results indicated that middle-income…

How Do Different Background Variables Predict Learning Outcomes?

ERIC Educational Resources Information Center

Kallio, Manne; Metsärinne, Mika

2017-01-01

This article is a part of a research project aimed to find out how different background variables are related to learning outcomes in school subject Sloyd as found in the national evaluation of the Finnish National Board of Education. Results from this larger research project were previously published in this journal, where pupils' readiness for…

Exploring Epistemological Beliefs and Learning Approaches in Context: A Sociocultural Perspective

ERIC Educational Resources Information Center

Phan, Huy P.

2008-01-01

Background: Research investigation into epistemological beliefs and students' approaches to learning (SAL) from a qualitative perspective has been limited to a few studies. In particular, very research has attempted to explore the origin of personal epistemology and its relation with SAL, taking into account the sociocultural background and …

Design of Learning Objects for Concept Learning: Effects of Multimedia Learning Principles and an Instructional Approach

ERIC Educational Resources Information Center

Chiu, Thomas K. F.; Churchill, Daniel

2016-01-01

Literature suggests using multimedia learning principles in the design of instructional material. However, these principles may not be sufficient for the design of learning objects for concept learning in mathematics. This paper reports on an experimental study that investigated the effects of an instructional approach, which includes two teaching…

Unconscious Familiarity-based Color-Form Binding: Evidence from Visual Extinction.

PubMed

Rappaport, Sarah J; Riddoch, M Jane; Chechlacz, Magda; Humphreys, Glyn W

2016-03-01

There is good evidence that early visual processing involves the coding of different features in independent brain regions. A major question, then, is how we see the world in an integrated manner, in which the different features are "bound" together. A standard account of this has been that feature binding depends on attention to the stimulus, which enables only the relevant features to be linked together [Treisman, A., & Gelade, G. A feature-integration theory of attention. Cognitive Psychology, 12, 97-136, 1980]. Here we test this influential idea by examining whether, in patients showing visual extinction, the processing of otherwise unconscious (extinguished) stimuli is modulated by presenting objects in their correct (familiar) color. Correctly colored objects showed reduced extinction when they had a learned color, and this color matched across the ipsi- and contralesional items (red strawberry + red tomato). In contrast, there was no reduction in extinction under the same conditions when the stimuli were colored incorrectly (blue strawberry + blue tomato; Experiment 1). The result was not due to the speeded identification of a correctly colored ipsilesional item, as there was no benefit from having correctly colored objects in different colors (red strawberry + yellow lemon; Experiment 2). There was also no benefit to extinction from presenting the correct colors in the background of each item (Experiment 3). The data suggest that learned color-form binding can reduce extinction even when color is irrelevant for the task. The result is consistent with preattentive binding of color and shape for familiar stimuli.

[Effect of object consistency in a spatial contextual cueing paradigm].

PubMed

Takeda, Yuji

2008-04-01

Previous studies demonstrated that attention can be quickly guided to a target location in a visual search task when the spatial configurations of search items and/or the object identities were repeated in the previous trials. This phenomenon is termed contextual cueing. Recently, it was reported that spatial configuration learning and object identity learning occurred independently, when novel contours were used as search items. The present study examined whether this learning occurred independently even when the search items were meaningful. The results showed that the contextual cueing effect was observed even if the relationships between the spatial locations and object identities were jumbled (Experiment 1). However, it disappeared when the search items were changed into geometric patterns (Experiment 2). These results suggest that the spatial configuration can be learned independent of the object identities; however, the use of the learned configuration is restricted by the learning situations.

Mobile Authoring of Open Educational Resources as Reusable Learning Objects

ERIC Educational Resources Information Center

Kinshuk; Jesse, Ryan

2013-01-01

E-learning technologies have allowed authoring and playback of standardized reusable learning objects (RLO) for several years. Effective mobile learning requires similar functionality at both design time and runtime. Mobile devices can play RLO using applications like SMILE, mobile access to a learning management system (LMS), or other systems…

An Intelligent Semantic E-Learning Framework Using Context-Aware Semantic Web Technologies

ERIC Educational Resources Information Center

Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko

2006-01-01

Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…

Grading for Understanding--Standards-Based Grading

ERIC Educational Resources Information Center

Zimmerman, Todd

2017-01-01

Standards-based grading (SBG), sometimes called learning objectives-based assessment (LOBA), is an assessment model that relies on students demonstrating mastery of learning objectives (sometimes referred to as standards). The goal of this grading system is to focus students on mastering learning objectives rather than on accumulating points. I…

An adult learning perspective on disability and microfinance: The case of Katureebe

PubMed Central

Nuwagaba, Ephraim L.

2016-01-01

Background Despite Uganda’s progress in promoting affirmative action for persons with disabilities and its strategy of using microfinance to fight poverty, access to microfinance services by persons with disabilities is still problematic due to barriers, characterised by discrepancies between policies and practices. Regarding education, the affirmative action in favour of learners with disabilities has not translated into actual learning opportunities due to personal and environmental barriers. Objectives The study on which this article is based investigated the non-formal and informal adult learning practices regarding microfinance that persons with disabilities engaged in. This article seeks to illuminate the barriers that a person with a visual impairment encountered while learning about and engaging with microfinance and the strategies that he developed to overcome them. Methods This was a case study, framed within the social model of disability and critical research paradigm. Data were collected through in-depth interviews of a person with visual impairment and observations of the environment in which adult learning and engagement with Savings and Credit Cooperative Organisations (SACCOs) occurred. Results Findings indicate that the person with a visual disability faced barriers to learning about microfinance services. He experienced barriers in an integrated manner and developed strategies to overcome these barriers. The barriers and strategies are theorised using the social model of disability. Conclusion The case of a person with visual impairment suggests that persons with disabilities face multiple barriers regarding microfinance, including social, psychological and educational. However, his own agency and attitudes were also of importance as they influenced his learning. Viewing these barriers as blockades can lead to non-participation in learning and engagement with microfinance whereas viewing them as surmountable hurdles can potentially motivate participants to succeed in learning about and engaging with microfinance. PMID:28730047

The Effects of Sleep Deprivation on Dissociable Prototype Learning Systems

PubMed Central

Maddox, W. Todd; Glass, Brian D.; Zeithamova, Dagmar; Savarie, Zachary R.; Bowen, Christopher; Matthews, Michael D.; Schnyer, David M.

2011-01-01

Background: The cognitive neural underpinnings of prototype learning are becoming clear. Evidence points to 2 different neural systems, depending on the learning parameters. A/not-A (AN) prototype learning is mediated by posterior brain regions that are involved in early perceptual learning, whereas A/B (AB) is mediated by frontal and medial temporal lobe regions. Study Objectives: To investigate the effects of sleep deprivation on AN and AB prototype learning and to use established prototype models to provide insights into the cognitive-processing locus of sleep-deprivation deficits. Design: Participants performed an AN and an AB prototype learning task twice, separated by a 24-hour period, with or without sleep between testing sessions. Participants: Eighteen West Point cadets participated in the sleep-deprivation group, and 17 West Point cadets participated in a control group. Measurements and Results: Sleep deprivation led to an AN, but not an AB, performance deficit. Prototype model analyses indicated that the AN deficit was due to changes in attentional focus and a decrease in confidence that is reflected in an increased bias to respond non-A. Conclusions: The findings suggest that AN, but not AB, prototype learning is affected by sleep deprivation. Prototype model analyses support the notion that the effect of sleep deprivation on AN is consistent with lapses in attentional focus that are more detrimental to AN than to AB. This finding adds to a growing body of work that suggests that different performance changes associated with sleep deprivation can be attributed to a common mechanism of changes in simple attention and vigilance. Citation: Maddox WT; Glass BD; Zeithamova D; Savarie ZR; Bowen C; Matthews MD; Schnyer DM. The effects of sleep deprivation on dissociable prototype learning systems. SLEEP 2011;34(3):253-260. PMID:21358842

Using Active Learning for Speeding up Calibration in Simulation Models

PubMed Central

Cevik, Mucahit; Ali Ergun, Mehmet; Stout, Natasha K.; Trentham-Dietz, Amy; Craven, Mark; Alagoz, Oguzhan

2015-01-01

Background Most cancer simulation models include unobservable parameters that determine the disease onset and tumor growth. These parameters play an important role in matching key outcomes such as cancer incidence and mortality and their values are typically estimated via lengthy calibration procedure, which involves evaluating large number of combinations of parameter values via simulation. The objective of this study is to demonstrate how machine learning approaches can be used to accelerate the calibration process by reducing the number of parameter combinations that are actually evaluated. Methods Active learning is a popular machine learning method that enables a learning algorithm such as artificial neural networks to interactively choose which parameter combinations to evaluate. We develop an active learning algorithm to expedite the calibration process. Our algorithm determines the parameter combinations that are more likely to produce desired outputs, therefore reduces the number of simulation runs performed during calibration. We demonstrate our method using previously developed University of Wisconsin Breast Cancer Simulation Model (UWBCS). Results In a recent study, calibration of the UWBCS required the evaluation of 378,000 input parameter combinations to build a race-specific model and only 69 of these combinations produced results that closely matched observed data. By using the active learning algorithm in conjunction with standard calibration methods, we identify all 69 parameter combinations by evaluating only 5620 of the 378,000 combinations. Conclusion Machine learning methods hold potential in guiding model developers in the selection of more promising parameter combinations and hence speeding up the calibration process. Applying our machine learning algorithm to one model shows that evaluating only 1.49% of all parameter combinations would be sufficient for the calibration. PMID:26471190

The beam stop array method to measure object scatter in digital breast tomosynthesis

NASA Astrophysics Data System (ADS)

Lee, Haeng-hwa; Kim, Ye-seul; Park, Hye-Suk; Kim, Hee-Joung; Choi, Jae-Gu; Choi, Young-Wook

2014-03-01

Scattered radiation is inevitably generated in the object. The distribution of the scattered radiation is influenced by object thickness, filed size, object-to-detector distance, and primary energy. One of the investigations to measure scatter intensities involves measuring the signal detected under the shadow of the lead discs of a beam-stop array (BSA). The measured scatter by BSA includes not only the scattered radiation within the object (object scatter), but also the external scatter source. The components of external scatter source include the X-ray tube, detector, collimator, x-ray filter, and BSA. Excluding background scattered radiation can be applied to different scanner geometry by simple parameter adjustments without prior knowledge of the scanned object. In this study, a method using BSA to differentiate scatter in phantom (object scatter) from external background was used. Furthermore, this method was applied to BSA algorithm to correct the object scatter. In order to confirm background scattered radiation, we obtained the scatter profiles and scatter fraction (SF) profiles in the directions perpendicular to the chest wall edge (CWE) with and without scattering material. The scatter profiles with and without the scattering material were similar in the region between 127 mm and 228 mm from chest wall. This result indicated that the measured scatter by BSA included background scatter. Moreover, the BSA algorithm with the proposed method could correct the object scatter because the total radiation profiles of object scatter correction corresponded to original image in the region between 127 mm and 228 mm from chest wall. As a result, the BSA method to measure object scatter could be used to remove background scatter. This method could apply for different scanner geometry after background scatter correction. In conclusion, the BSA algorithm with the proposed method is effective to correct object scatter.

Verbal learning in marijuana users seeking treatment: a comparison between depressed and non-depressed samples

PubMed Central

Roebke, Patrick V.; Vadhan, Nehal P.; Brooks, Daniel J.; Levin, Frances R.

2014-01-01

Background: Both individuals with marijuana use and depressive disorders exhibit verbal learning and memory decrements. Objectives: This study investigated the interaction between marijuana dependence and depression on learning and memory performance. Methods: The California Verbal Learning Test – Second Edition (CVLT-II) was administered to depressed (n=71) and non-depressed (n=131) near-daily marijuana users. The severity of depressive symptoms was measured by the self-rated Beck Depression Inventory (BDI-II) and the clinician-rated Hamilton Depression Rating Scale (HAM-D). Multivariate analyses of covariance statistics (MANCOVA) were employed to analyze group differences in cognitive performance. Pearson’s correlation coefficients were calculated to examine the relative associations between marijuana use, depression and CVLT-II performance. Findings from each group were compared to published normative data. Results: Although both groups exhibited decreased CVLT-II performance relative to the test’s normative sample (p<0.05), marijuana-dependent subjects with a depressive disorder did not perform differently than marijuana-dependent subjects without a depressive disorder (p>0.05). Further, poorer CVLT-II performance was modestly associated with increased self-reported daily amount of marijuana use (corrected p<0.002), but was not significantly associated with increased scores on measures of depressive symptoms (corrected p>0.002). Conclusion: These findings suggest an inverse association between marijuana use and verbal learning function, but not between depression and verbal learning function in regular marijuana users. PMID:24918839

Medical student web-based formative assessment tool for renal pathology.

PubMed

Bijol, Vanesa; Byrne-Dugan, Cathryn J; Hoenig, Melanie P

2015-01-01

Background Web-based formative assessment tools have become widely recognized in medical education as valuable resources for self-directed learning. Objectives To explore the educational value of formative assessment using online quizzes for kidney pathology learning in our renal pathophysiology course. Methods Students were given unrestricted and optional access to quizzes. Performance on quizzed and non-quizzed materials of those who used ('quizzers') and did not use the tool ('non-quizzers') was compared. Frequency of tool usage was analyzed and satisfaction surveys were utilized at the end of the course. Results In total, 82.6% of the students used quizzes. The greatest usage was observed on the day before the final exam. Students repeated interactive and more challenging quizzes more often. Average means between final exam scores for quizzed and unrelated materials were almost equal for 'quizzers' and 'non-quizzers', but 'quizzers' performed statistically better than 'non-quizzers' on both, quizzed (p=0.001) and non-quizzed (p=0.024) topics. In total, 89% of surveyed students thought quizzes improved their learning experience in this course. Conclusions Our new computer-assisted learning tool is popular, and although its use can predict the final exam outcome, it does not provide strong evidence for direct improvement in academic performance. Students who chose to use quizzes did well on all aspects of the final exam and most commonly used quizzes to practice for final exam. Our efforts to revitalize the course material and promote learning by adding interactive online formative assessments improved students' learning experience overall.

Problem based learning in midwifery - the teachers perspective.

PubMed

Rowan, Catherine J; McCourt, Christine; Bick, Debra; Beake, Sarah

2007-02-01

Problem- or evidence-based learning (PBL or EBL) has become more widely used in the education of health professionals. Although there has been research exploring its effectiveness and the student's perspective, there has been little research exploring the perceptions of the teacher. The objective of this study was to investigate the experiences of teachers facilitating a problem based learning curriculum in midwifery. The study took place at Thames Valley University, which has implemented this approach across the entire curriculum. Semi-structured interviews were undertaken following random selection from two groups of teachers; those more experienced as teachers and those who had entered teaching more recently. Aspects of the teacher's role identified included questioning students to draw out their knowledge and understanding and to help students challenge each other, discuss and evaluate their learning. Strategies used varied depending on the stage of the programme. Difficulties encountered were mostly in relation to facilitating groups of differing backgrounds and ability and seeking to enable the students to work well together. Key challenges for teachers were in relation to developing facilitation skills, balancing input or guidance with facilitating independent learning. Problem based learning was perceived to be beneficial in helping students relate theory to practice and in encouraging an active and enquiring approach to evidence, but teachers raised important questions about its practice. Tensions were identified between the constructivist theories on which the model of PBL rests and the formal requirements of an externally regulated professional curriculum.

Digital learning objects in nursing consultation: technology assessment by undergraduate students.

PubMed

Silveira, DeniseTolfo; Catalan, Vanessa Menezes; Neutzling, Agnes Ludwig; Martinato, Luísa Helena Machado

2010-01-01

This study followed the teaching-learning process about the nursing consultation, based on digital learning objects developed through the active Problem Based Learning method. The goals were to evaluate the digital learning objects about nursing consultation, develop cognitive skills on the subject using problem based learning and identify the students' opinions on the use of technology. This is an exploratory and descriptive study with a quantitative approach. The sample consisted of 71 students in the sixth period of the nursing program at the Federal University of Rio Grande do Sul. The data was collected through a questionnaire to evaluate the learning objects. The results showed positive agreement (58%) on the content, usability and didactics of the proposed computer-mediated activity regarding the nursing consultation. The application of materials to the students is considered positive.

Small Moving Vehicle Detection in a Satellite Video of an Urban Area

PubMed Central

Yang, Tao; Wang, Xiwen; Yao, Bowei; Li, Jing; Zhang, Yanning; He, Zhannan; Duan, Wencheng

2016-01-01

Vehicle surveillance of a wide area allows us to learn much about the daily activities and traffic information. With the rapid development of remote sensing, satellite video has become an important data source for vehicle detection, which provides a broader field of surveillance. The achieved work generally focuses on aerial video with moderately-sized objects based on feature extraction. However, the moving vehicles in satellite video imagery range from just a few pixels to dozens of pixels and exhibit low contrast with respect to the background, which makes it hard to get available appearance or shape information. In this paper, we look into the problem of moving vehicle detection in satellite imagery. To the best of our knowledge, it is the first time to deal with moving vehicle detection from satellite videos. Our approach consists of two stages: first, through foreground motion segmentation and trajectory accumulation, the scene motion heat map is dynamically built. Following this, a novel saliency based background model which intensifies moving objects is presented to segment the vehicles in the hot regions. Qualitative and quantitative experiments on sequence from a recent Skybox satellite video dataset demonstrates that our approach achieves a high detection rate and low false alarm simultaneously. PMID:27657091

Learning Specific Content in Technology Education: Learning Study as a Collaborative Method in Swedish Preschool Class Using Hands-On Material

ERIC Educational Resources Information Center

Kilbrink, Nina; Bjurulf, Veronica; Blomberg, Ingela; Heidkamp, Anja; Hollsten, Ann-Christin

2014-01-01

This article describes the process of a learning study conducted in technology education in a Swedish preschool class. The learning study method used in this study is a collaborative method, where researchers and teachers work together as a team concerning teaching and learning about a specific learning object. The object of learning in this study…

Tracking-Learning-Detection.

PubMed

Kalal, Zdenek; Mikolajczyk, Krystian; Matas, Jiri

2012-07-01

This paper investigates long-term tracking of unknown objects in a video stream. The object is defined by its location and extent in a single frame. In every frame that follows, the task is to determine the object's location and extent or indicate that the object is not present. We propose a novel tracking framework (TLD) that explicitly decomposes the long-term tracking task into tracking, learning, and detection. The tracker follows the object from frame to frame. The detector localizes all appearances that have been observed so far and corrects the tracker if necessary. The learning estimates the detector's errors and updates it to avoid these errors in the future. We study how to identify the detector's errors and learn from them. We develop a novel learning method (P-N learning) which estimates the errors by a pair of "experts": (1) P-expert estimates missed detections, and (2) N-expert estimates false alarms. The learning process is modeled as a discrete dynamical system and the conditions under which the learning guarantees improvement are found. We describe our real-time implementation of the TLD framework and the P-N learning. We carry out an extensive quantitative evaluation which shows a significant improvement over state-of-the-art approaches.

An Innovative Teaching Method To Promote Active Learning: Team-Based Learning

NASA Astrophysics Data System (ADS)

Balasubramanian, R.

2007-12-01

Traditional teaching practice based on the textbook-whiteboard- lecture-homework-test paradigm is not very effective in helping students with diverse academic backgrounds achieve higher-order critical thinking skills such as analysis, synthesis, and evaluation. Consequently, there is a critical need for developing a new pedagogical approach to create a collaborative and interactive learning environment in which students with complementary academic backgrounds and learning skills can work together to enhance their learning outcomes. In this presentation, I will discuss an innovative teaching method ('Team-Based Learning (TBL)") which I recently developed at National University of Singapore to promote active learning among students in the environmental engineering program with learning abilities. I implemented this new educational activity in a graduate course. Student feedback indicates that this pedagogical approach is appealing to most students, and promotes active & interactive learning in class. Data will be presented to show that the innovative teaching method has contributed to improved student learning and achievement.

Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

PubMed Central

Ellis, Katherine; Godbole, Suneeta; Marshall, Simon; Lanckriet, Gert; Staudenmayer, John; Kerr, Jacqueline

2014-01-01

Background: Active travel is an important area in physical activity research, but objective measurement of active travel is still difficult. Automated methods to measure travel behaviors will improve research in this area. In this paper, we present a supervised machine learning method for transportation mode prediction from global positioning system (GPS) and accelerometer data. Methods: We collected a dataset of about 150 h of GPS and accelerometer data from two research assistants following a protocol of prescribed trips consisting of five activities: bicycling, riding in a vehicle, walking, sitting, and standing. We extracted 49 features from 1-min windows of this data. We compared the performance of several machine learning algorithms and chose a random forest algorithm to classify the transportation mode. We used a moving average output filter to smooth the output predictions over time. Results: The random forest algorithm achieved 89.8% cross-validated accuracy on this dataset. Adding the moving average filter to smooth output predictions increased the cross-validated accuracy to 91.9%. Conclusion: Machine learning methods are a viable approach for automating measurement of active travel, particularly for measuring travel activities that traditional accelerometer data processing methods misclassify, such as bicycling and vehicle travel. PMID:24795875

Prognostication of Learning Curve on Surgical Management of Vasculobiliary Injuries after Cholecystectomy

PubMed Central

Dar, Faisal Saud; Zia, Haseeb; Rafique, Muhammad Salman; Khan, Nusrat Yar; Salih, Mohammad; Hassan Shah, Najmul

2016-01-01

Background. Concomitant vascular injury might adversely impact outcomes after iatrogenic bile duct injury (IBDI). Whether a new HPB center should embark upon repair of complex biliary injuries with associated vascular injuries during learning curve is unknown. The objective of this study was to determine outcome of surgical management of IBDI with and without vascular injuries in a new HPB center during its learning curve. Methods. We retrospectively reviewed patients who underwent surgical management of IBDI at our center. A total of 39 patients were included. Patients without (Group 1) and with vascular injuries (Group 2) were compared. Outcome was defined as 90-day morbidity and mortality. Results. Median age was 39 (20–80) years. There were 10 (25.6%) vascular injuries. E2 injuries were associated significantly with high frequency of vascular injuries (66% versus 15.1%) (P = 0.01). Right hepatectomy was performed in three patients. Out of these, two had a right hepatic duct stricture and one patient had combined right arterial and portal venous injury. The number of patients who developed postoperative complications was not significantly different between the two groups (11.1% versus 23.4%) (P = 0.6). Conclusion. Learning curve is not a negative prognostic variable in the surgical management of iatrogenic vasculobiliary injuries after cholecystectomy. PMID:27525124

Motor Decline in Clinically Presymptomatic Spinocerebellar Ataxia Type 2 Gene Carriers

PubMed Central

Velázquez-Perez, Luis; Díaz, Rosalinda; Pérez-González, Ruth; Canales, Nalia; Rodríguez-Labrada, Roberto; Medrano, Jacquelín; Sánchez, Gilberto; Almaguer-Mederos, Luis; Torres, Cira; Fernandez-Ruiz, Juan

2009-01-01

Background Motor deficits are a critical component of the clinical characteristics of patients with spinocerebellar ataxia type 2. However, there is no current information on the preclinical manifestation of those motor deficits in presymptomatic gene carriers. To further understand and characterize the onset of the clinical manifestation in this disease, we tested presymptomatic spinocerebellar ataxia type 2 gene carriers, and volunteers, in a task that evaluates their motor performance and their motor learning capabilities. Methods and Findings 28 presymptomatic spinocerebellar ataxia type 2 gene carriers and an equal number of control volunteers matched for age and gender participated in the study. Both groups were tested in a prism adaptation task known to be sensible to both motor performance and visuomotor learning deficits. Our results clearly show that although motor learning capabilities are intact, motor performance deficits are present even years before the clinical manifestation of the disease start. Conclusions The results show a clear deficit in motor performance that can be detected years before the clinical onset of the disease. This motor performance deficit appears before any motor learning or clinical manifestations of the disease. These observations identify the performance coefficient as an objective and quantitative physiological biomarker that could be useful to assess the efficiency of different therapeutic agents. PMID:19401771

Classroom acoustics as a consideration for inclusive education in South Africa

PubMed Central

Karusseit, Catherine

2017-01-01

Background It can hardly be disputed that a school environment should be conducive or, at the very least, not prohibitive to effective learning. The provision of fair, equal and barrier-free access to education is referred to as inclusive education. South Africa supports a policy of inclusive schooling, striving to accommodate all children, including those with disabilities, in mainstream schools. This article sets out to prove that noise control in classrooms is a relevant, yet neglected, aspect of inclusive classroom design in South Africa and requires specific attention. Objectives The objectives of this study are to: (1) establish the impact that noise has on learners with sensory, language or learning impairments; (2) establish the preferred listening conditions for these learners by examining prior research and guidelines available in other countries; and (3) outline the current South African regulations pertaining to classroom acoustics and assess them against the preferred listening environment. Method This research was conducted as a systematic review with reference to the South African context. Local and international research and guidelines were used as references, providing an overview and evaluation of data concerning noise and learning. Results Noise is disadvantageous for learners, particularly those with sensory, language or learning impairments. Research and international guidelines show that the ideal ambient level is 30 dBA – 35 dBA, allowing the achievement of an ideal signal-to-noise ratio (SNR) of +15 dB, and the ideal reverberation time is 0.4 s – 0.6 s. Various South African regulations discussed are inconsistent regarding ambient noise level (ranging from 35 dBA – 50 dBA) and say little about reverberation time for classrooms. Conclusion South African regulations regarding classroom acoustics require revision to ensure inclusion of all learners with disabilities. The current status does not enforce barrier-free environments in mainstream schools for children with sensory, language or learning impairments. PMID:28893075

Automotive Mechanics. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 33 learning guides are self-instructional packets for 33 tasks identified as essential for performance on an entry-level job in automotive mechanics. Each guide is based on a terminal performance objective (task) and 1-9 enabling objectives. For each enabliing objective, some or all of these materials may be presented: learning steps…

Learning and Forgetting New Names and Objects in MCI and AD

ERIC Educational Resources Information Center

Gronholm-Nyman, Petra; Rinne, Juha O.; Laine, Matti

2010-01-01

We studied how subjects with mild cognitive impairment (MCI), early Alzheimer's disease (AD) and age-matched controls learned and maintained the names of unfamiliar objects that were trained with or without semantic support (object definitions). Naming performance, phonological cueing, incidental learning of the definitions and recognition of the…

Information Retrieval in Virtual Universities

ERIC Educational Resources Information Center

Puustjärvi, Juha; Pöyry, Päivi

2006-01-01

Information retrieval in the context of virtual universities deals with the representation, organization, and access to learning objects. The representation and organization of learning objects should provide the learner with an easy access to the learning objects. In this article, we give an overview of the ONES system, and analyze the relevance…

Learning Objects for Educational Applications via PDA Technology

ERIC Educational Resources Information Center

Churchill, Daniel

2008-01-01

This article discusses an ongoing study into issues relevant to the design of learning objects for educational applications via portable digital assistant (PDA) technology. The specific areas of inquiry in this study are: the kinds of learning objects that are effective for PDA delivery; contexts for their effective educational applications; and…

Mechanical Drafting. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These four learning guides are self-instructional packets for four tasks identified as essential for performance on an entry-level job in mechanical drafting. Each guide is based on a terminal performance objective (task) and 2-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps…

Livestock. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 25 learning guides are self-instructional packets for 25 tasks identified as essential for performance on an entry-level job in livestock production. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline…

APA's Learning Objectives for Research Methods and Statistics in Practice: A Multimethod Analysis

ERIC Educational Resources Information Center

Tomcho, Thomas J.; Rice, Diana; Foels, Rob; Folmsbee, Leah; Vladescu, Jason; Lissman, Rachel; Matulewicz, Ryan; Bopp, Kara

2009-01-01

Research methods and statistics courses constitute a core undergraduate psychology requirement. We analyzed course syllabi and faculty self-reported coverage of both research methods and statistics course learning objectives to assess the concordance with APA's learning objectives (American Psychological Association, 2007). We obtained a sample of…

Learning Objects Update: Review and Critical Approach to Content Aggregation

ERIC Educational Resources Information Center

Balatsoukas, Panos; Morris, Anne; O'Brien, Ann

2008-01-01

The structure and composite nature of a learning object is still open to interpretation. Although several theoretical studies advocate integrated approaches to the structure and aggregation level of learning objects, in practice, many content specifications, such as SCORM, IMS Content Packaging, and course authoring tools, do not explicitly state…

Statistical Learning Is Constrained to Less Abstract Patterns in Complex Sensory Input (but not the Least)

PubMed Central

Emberson, Lauren L.; Rubinstein, Dani

2016-01-01

The influence of statistical information on behavior (either through learning or adaptation) is quickly becoming foundational to many domains of cognitive psychology and cognitive neuroscience, from language comprehension to visual development. We investigate a central problem impacting these diverse fields: when encountering input with rich statistical information, are there any constraints on learning? This paper examines learning outcomes when adult learners are given statistical information across multiple levels of abstraction simultaneously: from abstract, semantic categories of everyday objects to individual viewpoints on these objects. After revealing statistical learning of abstract, semantic categories with scrambled individual exemplars (Exp. 1), participants viewed pictures where the categories as well as the individual objects predicted picture order (e.g., bird1—dog1, bird2—dog2). Our findings suggest that participants preferentially encode the relationships between the individual objects, even in the presence of statistical regularities linking semantic categories (Exps. 2 and 3). In a final experiment we investigate whether learners are biased towards learning object-level regularities or simply construct the most detailed model given the data (and therefore best able to predict the specifics of the upcoming stimulus) by investigating whether participants preferentially learn from the statistical regularities linking individual snapshots of objects or the relationship between the objects themselves (e.g., bird_picture1— dog_picture1, bird_picture2—dog_picture2). We find that participants fail to learn the relationships between individual snapshots, suggesting a bias towards object-level statistical regularities as opposed to merely constructing the most complete model of the input. This work moves beyond the previous existence proofs that statistical learning is possible at both very high and very low levels of abstraction (categories vs. individual objects) and suggests that, at least with the current categories and type of learner, there are biases to pick up on statistical regularities between individual objects even when robust statistical information is present at other levels of abstraction. These findings speak directly to emerging theories about how systems supporting statistical learning and prediction operate in our structure-rich environments. Moreover, the theoretical implications of the current work across multiple domains of study is already clear: statistical learning cannot be assumed to be unconstrained even if statistical learning has previously been established at a given level of abstraction when that information is presented in isolation. PMID:27139779

Effects of interactive instructional techniques in a web-based peripheral nervous system component for human anatomy.

PubMed

Allen, Edwin B; Walls, Richard T; Reilly, Frank D

2008-02-01

This study investigated the effects of interactive instructional techniques in a web-based peripheral nervous system (PNS) component of a first year medical school human anatomy course. Existing data from 9 years of instruction involving 856 students were used to determine (1) the effect of web-based interactive instructional techniques on written exam item performance and (2) differences between student opinions of the benefit level of five different types of interactive learning objects used. The interactive learning objects included Patient Case studies, review Games, Simulated Interactive Patients (SIP), Flashcards, and unit Quizzes. Exam item analysis scores were found to be significantly higher (p < 0.05) for students receiving the instructional treatment incorporating the web-based interactive learning objects than for students not receiving this treatment. Questionnaires using a five-point Likert scale were analysed to determine student opinion ratings of the interactive learning objects. Students reported favorably on the benefit level of all learning objects. Students rated the benefit level of the Simulated Interactive Patients (SIP) highest, and this rating was significantly higher (p < 0.05) than all other learning objects. This study suggests that web-based interactive instructional techniques improve student exam performance. Students indicated a strong acceptance of Simulated Interactive Patient learning objects.

Near or far: The effect of spatial distance and vocabulary knowledge on word learning.

PubMed

Axelsson, Emma L; Perry, Lynn K; Scott, Emilly J; Horst, Jessica S

2016-01-01

The current study investigated the role of spatial distance in word learning. Two-year-old children saw three novel objects named while the objects were either in close proximity to each other or spatially separated. Children were then tested on their retention for the name-object associations. Keeping the objects spatially separated from each other during naming was associated with increased retention for children with larger vocabularies. Children with a lower vocabulary size demonstrated better retention if they saw objects in close proximity to each other during naming. This demonstrates that keeping a clear view of objects during naming improves word learning for children who have already learned many words, but keeping objects within close proximal range is better for children at earlier stages of vocabulary acquisition. The effect of distance is therefore not equal across varying vocabulary sizes. The influences of visual crowding, cognitive load, and vocabulary size on word learning are discussed. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Changes in Visual Object Recognition Precede the Shape Bias in Early Noun Learning

PubMed Central

Yee, Meagan; Jones, Susan S.; Smith, Linda B.

2012-01-01

Two of the most formidable skills that characterize human beings are language and our prowess in visual object recognition. They may also be developmentally intertwined. Two experiments, a large sample cross-sectional study and a smaller sample 6-month longitudinal study of 18- to 24-month-olds, tested a hypothesized developmental link between changes in visual object representation and noun learning. Previous findings in visual object recognition indicate that children’s ability to recognize common basic level categories from sparse structural shape representations of object shape emerges between the ages of 18 and 24 months, is related to noun vocabulary size, and is lacking in children with language delay. Other research shows in artificial noun learning tasks that during this same developmental period, young children systematically generalize object names by shape, that this shape bias predicts future noun learning, and is lacking in children with language delay. The two experiments examine the developmental relation between visual object recognition and the shape bias for the first time. The results show that developmental changes in visual object recognition systematically precede the emergence of the shape bias. The results suggest a developmental pathway in which early changes in visual object recognition that are themselves linked to category learning enable the discovery of higher-order regularities in category structure and thus the shape bias in novel noun learning tasks. The proposed developmental pathway has implications for understanding the role of specific experience in the development of both visual object recognition and the shape bias in early noun learning. PMID:23227015

Teaching strategies to promote concept learning by design challenges

NASA Astrophysics Data System (ADS)

Van Breukelen, Dave; Van Meel, Adrianus; De Vries, Marc

2017-07-01

Background: This study is the second study of a design-based research, organised around four studies, that aims to improve student learning, teaching skills and teacher training concerning the design-based learning approach called Learning by Design (LBD).

Collaborative project-based learning: an integrative science and technological education project

NASA Astrophysics Data System (ADS)

Baser, Derya; Ozden, M. Yasar; Karaarslan, Hasan

2017-04-01

Background: Blending collaborative learning and project-based learning (PBL) based on Wolff (2003) design categories, students interacted in a learning environment where they developed their technology integration practices as well as their technological and collaborative skills.

Bloom's taxonomy of cognitive learning objectives.

PubMed

Adams, Nancy E

2015-07-01

Information professionals who train or instruct others can use Bloom's taxonomy to write learning objectives that describe the skills and abilities that they desire their learners to master and demonstrate. Bloom's taxonomy differentiates between cognitive skill levels and calls attention to learning objectives that require higher levels of cognitive skills and, therefore, lead to deeper learning and transfer of knowledge and skills to a greater variety of tasks and contexts.

The Subject-Object Approach as a Direction of the Learning Theory in the Context of Modern Linguistic Education Paradigms

ERIC Educational Resources Information Center

Salkhanova, Zhanat H.; Lee, Valentine S.; Tumanova, Ainakul B.; Zhusanbaeva, Aida T.

2016-01-01

The research object is the activity-based learning theory. The purpose of the study is to prove the assumption that the subject-object approach as a direction of the learning theory is the most effective one in the context of development of modern paradigms of linguistic education. The authors believe that the main content of the learning activity…

Use of individualized learning plans among fourth-year sub-interns in pediatrics and internal medicine.

PubMed

Shepard, Michelle E; Sastre, Elizabeth A; Davidson, Mario A; Fleming, Amy E

2012-01-01

Individualized Learning Plans (ILPs) are an effective tool for promoting self-directed learning among residents. However, no literature details ILP use among medical students. Fifty fourth-year sub-interns in pediatrics and internal medicine created ILPs, including a self-assessment of strengths and weaknesses based on ACGME core competencies and the setting of learning objectives. During weekly follow-up meetings with faculty mentors and peers, students discussed challenges and revised goals. Upon completion of the rotation, students completed a survey of Likert-scale questions addressing satisfaction with and perceived utility of ILP components. Students most often self-identified strengths in the areas of Professionalism and Interpersonal and Communication Skills and weaknesses in Patient Care and Systems-Based Practice. Eighty-two percent set at least one learning objective in an identified area of weakness. Students expressed high confidence in their abilities to create achievable learning objectives and to generate strategies to meet those objectives. Students agreed that discussions during group meetings were meaningful, and they identified the setting learning objectives and weekly meetings as the most important elements of the exercise. Fourth-year sub-interns reported that ILPs helped them to accomplish rotation goals, with the setting of learning objectives and weekly discussions being the most useful elements.

Challenges faced by parents of children with learning disabilities in Opuwo, Namibia

PubMed Central

Taderera, Clever

2017-01-01

Background Parenting children with learning disabilities requires a high level of knowledge and access to resources, information and services. In developing countries, however, these resources and services are not always available. Parents in Namibia, a developing country, therefore face challenges addressing children’s learning and other developmental disabilities, including challenges related to preventative and supportive interventions. Objective This research focuses on challenges faced by parents as they parent children with learning disabilities in Opuwo, Namibia. Method In-depth interviews were conducted with eight parents regarding the challenges they face in parenting their children with learning disabilities. Thematic analysis enabled the researchers to identify, analyse and report on themes that emerged from the qualitative interview data. Results Analysis of the interviews indicated that some participants had only a vague understanding of learning disabilities, as they did not have access to essential knowledge about this phenomenon. They also lacked an awareness of the availability of programmes, services and policies meant to benefit their children with learning disabilities. Participants voiced that they, their children with learning disabilities and community members have stereotypes and prejudices regarding learning disabilities. In this study, most of the children with learning disabilities were raised by single, unemployed parents who seemed to have access to less support from external sources than married couples parenting children with learning disabilities. These single parents are usually not married and because of lack of financial support from the other parent, the majority of them indicated that they struggle to meet the financial and material needs of their children. Conclusion The researchers concluded that the participants in this study experience a range of challenges in parenting their children with learning disabilities. The main challenges emanate from financial instability, as well as lack of knowledge regarding services and programmes for children with learning disabilities. This lack of knowledge on the part of participants could indicate poor policy education by policy implementers at grass-roots level. PMID:28951851

Object Detection in Natural Backgrounds Predicted by Discrimination Performance and Models

NASA Technical Reports Server (NTRS)

Ahumada, A. J., Jr.; Watson, A. B.; Rohaly, A. M.; Null, Cynthia H. (Technical Monitor)

1995-01-01

In object detection, an observer looks for an object class member in a set of backgrounds. In discrimination, an observer tries to distinguish two images. Discrimination models predict the probability that an observer detects a difference between two images. We compare object detection and image discrimination with the same stimuli by: (1) making stimulus pairs of the same background with and without the target object and (2) either giving many consecutive trials with the same background (discrimination) or intermixing the stimuli (object detection). Six images of a vehicle in a natural setting were altered to remove the vehicle and mixed with the original image in various proportions. Detection observers rated the images for vehicle presence. Discrimination observers rated the images for any difference from the background image. Estimated detectabilities of the vehicles were found by maximizing the likelihood of a Thurstone category scaling model. The pattern of estimated detectabilities is similar for discrimination and object detection, and is accurately predicted by a Cortex Transform discrimination model. Predictions of a Contrast- Sensitivity- Function filter model and a Root-Mean-Square difference metric based on the digital image values are less accurate. The discrimination detectabilities averaged about twice those of object detection.

An Adaptive Navigation Support System for Conducting Context-Aware Ubiquitous Learning in Museums

ERIC Educational Resources Information Center

Chiou, Chuang-Kai; Tseng, Judy C. R.; Hwang, Gwo-Jen; Heller, Shelly

2010-01-01

In context-aware ubiquitous learning, students are guided to learn in the real world with personalized supports from the learning system. As the learning resources are realistic objects in the real world, certain physical constraints, such as the limitation of stream of people who visit the same learning object, the time for moving from one object…

Napping on the Night Shift: A Study of Sleep, Performance, and Learning in Physicians-in-Training

PubMed Central

McDonald, Jennifer; Potyk, Darryl; Fischer, David; Parmenter, Brett; Lillis, Teresa; Tompkins, Lindsey; Bowen, Angela; Grant, Devon; Lamp, Amanda; Belenky, Gregory

2013-01-01

Background Physicians in training experience fatigue from sleep loss, high workload, and working at an adverse phase of the circadian rhythm, which collectively degrades task performance and the ability to learn and remember. To minimize fatigue and sustain performance, learning, and memory, humans generally need 7 to 8 hours of sleep in every 24-hour period. Methods In a naturalistic, within-subjects design, we studied 17 first- and second-year internal medicine residents working in a tertiary care medical center, rotating between day shift and night float every 4 weeks. We studied each resident for 2 weeks while he/she worked the day shift and for 2 weeks while he/she worked the night float, objectively measuring sleep by wrist actigraphy, vigilance by the Psychomotor Vigilance Task test, and visual-spatial and verbal learning and memory by the Brief Visuospatial Memory Test-Revised and the Rey Auditory-Verbal Learning Test. Results Residents, whether working day shift or night float, slept approximately 7 hours in every 24-hour period. Residents, when working day shift, consolidated their sleep into 1 main sleep period at night. Residents working night float split their sleep, supplementing their truncated daytime sleep with nighttime on-duty naps. There was no difference in vigilance or learning and memory, whether residents worked day shift or night float. Conclusions Off-duty sleep supplemented with naps while on duty appears to be an effective strategy for sustaining vigilance, learning, and memory when working night float. PMID:24455014

Fear of Negative Evaluation Biases Social Evaluation Inference: Evidence from a Probabilistic Learning Task

PubMed Central

Button, Katherine S.; Kounali, Daphne; Stapinski, Lexine; Rapee, Ronald M.; Lewis, Glyn; Munafò, Marcus R.

2015-01-01

Background Fear of negative evaluation (FNE) defines social anxiety yet the process of inferring social evaluation, and its potential role in maintaining social anxiety, is poorly understood. We developed an instrumental learning task to model social evaluation learning, predicting that FNE would specifically bias learning about the self but not others. Methods During six test blocks (3 self-referential, 3 other-referential), participants (n = 100) met six personas and selected a word from a positive/negative pair to finish their social evaluation sentences “I think [you are / George is]…”. Feedback contingencies corresponded to 3 rules, liked, neutral and disliked, with P[positive word correct] = 0.8, 0.5 and 0.2, respectively. Results As FNE increased participants selected fewer positive words (β = −0.4, 95% CI −0.7, −0.2, p = 0.001), which was strongest in the self-referential condition (FNE × condition 0.28, 95% CI 0.01, 0.54, p = 0.04), and the neutral and dislike rules (FNE × condition × rule, p = 0.07). At low FNE the proportion of positive words selected for self-neutral and self-disliked greatly exceeded the feedback contingency, indicating poor learning, which improved as FNE increased. Conclusions FNE is associated with differences in processing social-evaluative information specifically about the self. At low FNE this manifests as insensitivity to learning negative self-referential evaluation. High FNE individuals are equally sensitive to learning positive or negative evaluation, which although objectively more accurate, may have detrimental effects on mental health. PMID:25853835

Using Competency-Based Digital Open Learning Activities to Facilitate and Promote Health Professions Education (OLAmeD): A Proposal

PubMed Central

Barman, Linda

2016-01-01

Background Traditional learning in medical education has been transformed with the advent of information technology. We have recently seen global initiatives to produce online activities in an effort to scale up learning opportunities through learning management systems and massive open online courses for both undergraduate and continued professional education. Despite the positive impact of such efforts, factors such as cost, time, resources, and the specificity of educational contexts restrict the design and exchange of online medical educational activities. Objective The goal is to address the stated issues within the health professions education context while promoting learning by proposing the Online Learning Activities for Medical Education (OLAmeD) concept which builds on unified competency frameworks and generic technical standards for education. Methods We outline how frameworks used to describe a set of competencies for a specific topic in medical education across medical schools in the United States and Europe can be compared to identify commonalities that could result in a unified set of competencies representing both contexts adequately. Further, we examine how technical standards could be used to allow standardization, seamless sharing, and reusability of educational content. Results The entire process of developing and sharing OLAmeD is structured and presented in a set of steps using as example Urology as a part of clinical surgery specialization. Conclusions Beyond supporting the development, sharing, and repurposing of educational content, we expect OLAmeD to work as a tool that promotes learning and sets a base for a community of medical educational content developers across different educational contexts. PMID:27390226

Acute stress differentially affects spatial configuration learning in high and low cortisol-responding healthy adults

PubMed Central

Meyer, Thomas; Smeets, Tom; Giesbrecht, Timo; Quaedflieg, Conny W. E. M.; Merckelbach, Harald

2013-01-01

Background Stress and stress hormones modulate memory formation in various ways that are relevant to our understanding of stress-related psychopathology, such as posttraumatic stress disorder (PTSD). Particular relevance is attributed to efficient memory formation sustained by the hippocampus and parahippocampus. This process is thought to reduce the occurrence of intrusions and flashbacks following trauma, but may be negatively affected by acute stress. Moreover, recent evidence suggests that the efficiency of visuo-spatial processing and learning based on the hippocampal area is related to PTSD symptoms. Objective The current study investigated the effect of acute stress on spatial configuration learning using a spatial contextual cueing task (SCCT) known to heavily rely on structures in the parahippocampus. Method Acute stress was induced by subjecting participants (N = 34) to the Maastricht Acute Stress Test (MAST). Following a counterbalanced within-subject approach, the effects of stress and the ensuing hormonal (i.e., cortisol) activity on subsequent SCCT performance were compared to SCCT performance following a no-stress control condition. Results Acute stress did not impact SCCT learning overall, but opposing effects emerged for high versus low cortisol responders to the MAST. Learning scores following stress were reduced in low cortisol responders, while high cortisol-responding participants showed improved learning. Conclusions The effects of stress on spatial configuration learning were moderated by the magnitude of endogenous cortisol secretion. These findings suggest a possible mechanism by which cortisol responses serve an adaptive function during stress and trauma, and this may prove to be a promising route for future research in this area. PMID:23671762

Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study

PubMed Central

Walsh, Kieran; Westerman, Michiel; Scheele, Fedde

2018-01-01

Background The progressive use of e-learning in postgraduate medical education calls for useful quality indicators. Many evaluation tools exist. However, these are diversely used and their empirical foundation is often lacking. Objective We aimed to identify an empirically founded set of quality indicators to set the bar for “good enough” e-learning. Methods We performed a Delphi procedure with a group of 13 international education experts and 10 experienced users of e-learning. The questionnaire started with 57 items. These items were the result of a previous literature review and focus group study performed with experts and users. Consensus was met when a rate of agreement of more than two-thirds was achieved. Results In the first round, the participants accepted 37 items of the 57 as important, reached no consensus on 20, and added 15 new items. In the second round, we added the comments from the first round to the items on which there was no consensus and added the 15 new items. After this round, a total of 72 items were addressed and, of these, 37 items were accepted and 34 were rejected due to lack of consensus. Conclusions This study produced a list of 37 items that can form the basis of an evaluation tool to evaluate postgraduate medical e-learning. This is, to our knowledge, the first time that quality indicators for postgraduate medical e-learning have been defined and validated. The next step is to create and validate an e-learning evaluation tool from these items. PMID:29699970

Exploring the Role of M-Learning in Elementary Education

ERIC Educational Resources Information Center

Chen, Hsiu-Ju

2017-01-01

Aim/Purpose: This study explores the associations between elementary school learners' m-learning and learner satisfactions based on the technology-mediated learning model. Background: M-learning (mobile learning) is emerging, but its role in elementary education still needs clarification. Methodology: Questionnaires were mailed to several…

Socially Constructed Self-Regulated Learning and Motivation Regulation in Collaborative Learning Groups

ERIC Educational Resources Information Center

Jarvela, Sanna; Jarvenoja, Hanna

2011-01-01

Background/Context: Most of the earlier empirical findings deal with motivation regulation in individual learning situations. This study identifies higher education students' socially constructed motivation regulation in collaborative learning and stresses that regulation of motivation is crucial in socially self-regulated learning because…

Drowning Digitally? How Disequilibrium Shapes Practice in a Blended Learning Charter School

ERIC Educational Resources Information Center

Bingham, Andrea J.

2016-01-01

Background/Context: Blended learning--a learning model in which online learning is combined with faceto- face instruction to provide a more personalized learning experience for students--has shown enormous growth in recent years. Though many policymakers and educators are optimistic about the potential of blended learning to provide the type of…

Determining the Effects of LMS Learning Behaviors on Academic Achievement in a Learning Analytic Perspective

ERIC Educational Resources Information Center

Firat, Mehmet

2016-01-01

Two of the most important outcomes of learning analytics are predicting students' learning and providing effective feedback. Learning Management Systems (LMS), which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users' behaviors. The purpose…

The Nature of Student Teachers' Regulation of Learning in Teacher Education

ERIC Educational Resources Information Center

Endedijk, Maaike D.; Vermunt, Jan D.; Verloop, Nico; Brekelmans, Mieke

2012-01-01

Background: Self-regulated learning (SRL) has mainly been conceptualized to involve student learning within academic settings. In teacher education, where learning from theory and practice is combined, student teachers also need to regulate their learning. Hence, there is an urgent need to extend SRL theories to the domain of teacher learning and…

Ontologies for Effective Use of Context in E-Learning Settings

ERIC Educational Resources Information Center

Jovanovic, Jelena; Gasevic, Dragan; Knight, Colin; Richards, Griff

2007-01-01

This paper presents an ontology-based framework aimed at explicit representation of context-specific metadata derived from the actual usage of learning objects and learning designs. The core part of the proposed framework is a learning object context ontology, that leverages a range of other kinds of learning ontologies (e.g., user modeling…

Throw out Learning Objectives! In Support of a New Taxonomy

ERIC Educational Resources Information Center

Gander, Sharon L.

2006-01-01

In the right hands, learning objectives are great tools for clarifying thinking, breaking down learning into component parts, creating a logical order to learning, and demonstrating that a learning intervention is successful. Mostly, however, they have become cliches. With the industry's tendency to use them as pro forma media bites, they tend to…

Learning from Online Modules in Diverse Instructional Contexts

ERIC Educational Resources Information Center

Nugent, Gwen; Kohmetscher, Amy; Namuth-Covert, Deana; Guretzky, John; Murphy, Patrick; Lee, DoKyoung

2016-01-01

Learning objects originally developed for use in online learning environments can also be used to enhance face-to-face instruction. This study examined the learning impacts of online learning objects packaged into modules and used in different contexts for undergraduate education offered on campus at three institutions. A multi-case study approach…

Clinical learning environment and supervision of international nursing students: A cross-sectional study.

PubMed

Mikkonen, Kristina; Elo, Satu; Miettunen, Jouko; Saarikoski, Mikko; Kääriäinen, Maria

2017-05-01

Previously, it has been shown that the clinical learning environment causes challenges for international nursing students, but there is a lack of empirical evidence relating to the background factors explaining and influencing the outcomes. To describe international and national students' perceptions of their clinical learning environment and supervision, and explain the related background factors. An explorative cross-sectional design was used in a study conducted in eight universities of applied sciences in Finland during September 2015-May 2016. All nursing students studying English language degree programs were invited to answer a self-administered questionnaire based on both the clinical learning environment, supervision and nurse teacher scale and Cultural and Linguistic Diversity scale with additional background questions. Participants (n=329) included international (n=231) and Finnish (n=98) nursing students. Binary logistic regression was used to identify background factors relating to the clinical learning environment and supervision. International students at a beginner level in Finnish perceived the pedagogical atmosphere as worse than native speakers. In comparison to native speakers, these international students generally needed greater support from the nurse teacher at their university. Students at an intermediate level in Finnish reported two times fewer negative encounters in cultural diversity at their clinical placement than the beginners. To facilitate a successful learning experience, international nursing students require a sufficient level of competence in the native language when conducting clinical placements. Educational interventions in language education are required to test causal effects on students' success in the clinical learning environment. Copyright © 2017 Elsevier Ltd. All rights reserved.

Mechanisms of object recognition: what we have learned from pigeons

PubMed Central

Soto, Fabian A.; Wasserman, Edward A.

2014-01-01

Behavioral studies of object recognition in pigeons have been conducted for 50 years, yielding a large body of data. Recent work has been directed toward synthesizing this evidence and understanding the visual, associative, and cognitive mechanisms that are involved. The outcome is that pigeons are likely to be the non-primate species for which the computational mechanisms of object recognition are best understood. Here, we review this research and suggest that a core set of mechanisms for object recognition might be present in all vertebrates, including pigeons and people, making pigeons an excellent candidate model to study the neural mechanisms of object recognition. Behavioral and computational evidence suggests that error-driven learning participates in object category learning by pigeons and people, and recent neuroscientific research suggests that the basal ganglia, which are homologous in these species, may implement error-driven learning of stimulus-response associations. Furthermore, learning of abstract category representations can be observed in pigeons and other vertebrates. Finally, there is evidence that feedforward visual processing, a central mechanism in models of object recognition in the primate ventral stream, plays a role in object recognition by pigeons. We also highlight differences between pigeons and people in object recognition abilities, and propose candidate adaptive specializations which may explain them, such as holistic face processing and rule-based category learning in primates. From a modern comparative perspective, such specializations are to be expected regardless of the model species under study. The fact that we have a good idea of which aspects of object recognition differ in people and pigeons should be seen as an advantage over other animal models. From this perspective, we suggest that there is much to learn about human object recognition from studying the “simple” brains of pigeons. PMID:25352784

Rapid effects of dorsal hippocampal G-protein coupled estrogen receptor on learning in female mice.

PubMed

Lymer, Jennifer; Robinson, Alana; Winters, Boyer D; Choleris, Elena

2017-03-01

Through rapid mechanisms of action, estrogens affect learning and memory processes. It has been shown that 17β-estradiol and an Estrogen Receptor (ER) α agonist enhances performance in social recognition, object recognition, and object placement tasks when administered systemically or infused in the dorsal hippocampus. In contrast, systemic and dorsal hippocampal ERβ activation only promote spatial learning. In addition, 17β-estradiol, the ERα and the G-protein coupled estrogen receptor (GPER) agonists increase dendritic spine density in the CA1 hippocampus. Recently, we have shown that selective systemic activation of the GPER also rapidly facilitated social recognition, object recognition, and object placement learning in female mice. Whether activation the GPER specifically in the dorsal hippocampus can also rapidly improve learning and memory prior to acquisition is unknown. Here, we investigated the rapid effects of infusion of the GPER agonist, G-1 (dose: 50nM, 100nM, 200nM), in the dorsal hippocampus on social recognition, object recognition, and object placement learning tasks in home cage. These paradigms were completed within 40min, which is within the range of rapid estrogenic effects. Dorsal hippocampal administration of G-1 improved social (doses: 50nM, 200nM G-1) and object (dose: 200nM G-1) recognition with no effect on object placement. Additionally, when spatial cues were minimized by testing in a Y-apparatus, G-1 administration promoted social (doses: 100nM, 200nM G-1) and object (doses: 50nM, 100nM, 200nM G-1) recognition. Therefore, like ERα, the GPER in the hippocampus appears to be sufficient for the rapid facilitation of social and object recognition in female mice, but not for the rapid facilitation of object placement learning. Thus, the GPER in the dorsal hippocampus is involved in estrogenic mediation of learning and memory and these effects likely occur through rapid signalling mechanisms. Copyright © 2016 Elsevier Ltd. All rights reserved.

Background rejection in NEXT using deep neural networks

DOE PAGES

Renner, J.; Farbin, A.; Vidal, J. Muñoz; ...

2017-01-16

Here, we investigate the potential of using deep learning techniques to reject background events in searches for neutrinoless double beta decay with high pressure xenon time projection chambers capable of detailed track reconstruction. The differences in the topological signatures of background and signal events can be learned by deep neural networks via training over many thousands of events. These networks can then be used to classify further events as signal or background, providing an additional background rejection factor at an acceptable loss of efficiency. The networks trained in this study performed better than previous methods developed based on the usemore » of the same topological signatures by a factor of 1.2 to 1.6, and there is potential for further improvement.« less

An Inside Look at School Reform: What We Have Learned about Assessing Student Learning in a Nongraded Primary School.

ERIC Educational Resources Information Center

Hall, Tracey E.; Baker, Scott

This paper provides background information on school reform and describes efforts to implement an assessment system for students with disabilities in 12 nongraded primary classrooms. Background information briefly covers the school restructuring movement, the history of nongraded primary education, alternative assessment strategies which focus on…

Exploring the Cross-Cultural Experiences of College Students with Diverse Backgrounds Performing International Service-Learning in Myanmar

ERIC Educational Resources Information Center

Liu, Ruo-lan; Lee, Hsin-hua

2011-01-01

Background: In view of the growing globalization, volunteer service organizations, local universities, colleges, and student groups have begun extending their service programs from Taiwan to other countries. This study employs a self-organized, self-funded group of university students participating in international service-learning as its subject,…

Exploring the Extreme: High Performance Learning Activities in Mathematics, Science and Technology. An Educator's Guide. EG-2002-10-001-DFRC

ERIC Educational Resources Information Center

Dana, Judi; Kock, Meri; Lewis, Mike; Peterson, Bruce; Stowe, Steve

2010-01-01

The many activities contained in this teaching guide emphasize hands-on involvement, prediction, data collection and interpretation, teamwork, and problem solving. The guide also contains background information about aeronautical research that can help students learn how airplanes fly. Following the background sections are a series of activities…

An Investigation of the Role of Background Music in IVWs for Learning

ERIC Educational Resources Information Center

Richards, Debbie; Fassbender, Eric; Bilgin, Ayse; Thompson, William Forde

2008-01-01

Empirical evidence is needed to corroborate the intuitions of gamers and game developers in understanding the benefits of Immersive Virtual Worlds (IVWs) as a learning environment and the role that music plays within these environments. We report an investigation to determine if background music of the genre typically found in computer-based…

Television, Background Characteristics and Learning in El Salvador's Educational Reform.

ERIC Educational Resources Information Center

Hornik, Robert C.

The use of instructional television (ITV) as part of an educational reform in grades 7, 8 and 9 El Salvador had a positive effect upon learning. This was achieved despite inequities in cognitive skills related to student background factors and inequities in resource distribution. In selected schools, 75% of the variance in cognitive skills in…

Creating Connections: Using the Internet to Support Struggling Readers' Background Knowledge. Issues in Technology

ERIC Educational Resources Information Center

Karchmer, Rachel A.

2004-01-01

Background knowledge plays an important role in one?s ability to learn. We learn new knowledge by relating it to our prior knowledge, which in turn provides concrete understanding (Piaget, 1969). Rosenblatt (1996) explained, "The reader brings to the work personality traits, memories of past events, present needs and preoccupations, a…

Profiles of Turkish Pre-Service Teachers of English in Terms of Language Learning Background

ERIC Educational Resources Information Center

Uztosun, Mehmet Sercan

2017-01-01

This study aims to describe the language learning backgrounds of Turkish pre-service teachers of English as a foreign language (EFL) with reference to their perceived language competence and satisfaction with perceived speaking ability. Quantitative and qualitative data were collected through a questionnaire that was administered to 365 first-year…

Ego-Motion and Tracking for Continuous Object Learning: A Brief Survey

DTIC Science & Technology

2017-09-01

ARL-TR-8167• SEP 2017 US Army Research Laboratory Ego-motion and Tracking for ContinuousObject Learning: A Brief Survey by Jason Owens and Philip...SEP 2017 US Army Research Laboratory Ego-motion and Tracking for ContinuousObject Learning: A Brief Survey by Jason Owens and Philip OsteenVehicle...

Parts Marketing. A Student Learning Guide.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

This learning guide is a self-instructional packet for one task identified as essential for performance on an entry-level job in parts marketing. The guide is based on a terminal performance objective (task) and two enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline of student…

Transformative Sustainability Learning: Cultivating a Tree-Planting Ethos in Western Kenya

ERIC Educational Resources Information Center

Bull, Marijoan

2013-01-01

Given the fundamental objective of ESD--perspective change--it is increasingly being aligned with the theoretical foundation of Mezirow's Transformative Learning. In 2008, Sipos et al. built upon this connection by proposing a matrix of learning objectives to assess ESD in formal settings. These objectives, grouped under the title of…

Semantic Overlays in Educational Content Networks--The hylOs Approach

ERIC Educational Resources Information Center

Engelhardt, Michael; Hildebrand, Arne; Lange, Dagmar; Schmidt, Thomas C.

2006-01-01

Purpose: The paper aims to introduce an educational content management system, Hypermedia Learning Objects System (hylOs), which is fully compliant to the IEEE LOM eLearning object metadata standard. Enabled through an advanced authoring toolset, hylOs allows the definition of instructional overlays of a given eLearning object mesh.…

Small Schools Student Learning Objectives, K-3: Reading, Language Arts, Mathematics, Science, Social Studies.

ERIC Educational Resources Information Center

Hartl, David, Ed.; And Others

Developed by primary teachers and elementary principals from small districts in Snohomish and Island counties in Washington, this handbook contains sequenced student learning objectives for grades K-3 in the curriculum areas of reading, language arts, mathematics, science, and social studies. Each student learning objective is correlated to the…

Welding. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 23 learning guides are self-instructional packets for 23 tasks identified as essential for performance on an entry-level job in welding. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline of student…

An Assistant for Loading Learning Object Metadata: An Ontology Based Approach

ERIC Educational Resources Information Center

Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo

2013-01-01

In the last years, the development of different Repositories of Learning Objects has been increased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are described with metadata usually in the standard…

History, Context, and Policies of a Learning Object Repository

ERIC Educational Resources Information Center

Simpson, Steven Marshall

2016-01-01

Learning object repositories, a form of digital libraries, are robust systems that provide educators new ways to search for educational resources, collaborate with peers, and provide instruction to students in unique and varied ways. This study examines a learning object repository created by a large suburban school district to increase teaching…

The Effects of Using Learning Objects in Two Different Settings

ERIC Educational Resources Information Center

Cakiroglu, Unal; Baki, Adnan; Akkan, Yasar

2012-01-01

The study compared the effects of Learning Objects (LOs) within different applications; in classroom and in extracurricular activities. So in this study, firstly a Learning Object Repository (LOR) has been designed in parallel with 9th grade school mathematics curriculum. One of the two treatment groups was named as "classroom group" (n…

Plumbing and Pipefitting. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 32 learning guides are self-instructional packets for 32 tasks identified as essential for performance on an entry-level job in plumbing and pipefitting. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps…

Clothing Production. Student Learning Guides.

ERIC Educational Resources Information Center

Ridge Vocational-Technical Center, Winter Haven, FL.

These 59 learning guides are self-instructional packets for 59 tasks identified as essential for performance on an entry-level job in clothing production. Each guide is based on a terminal performance objective (task) and 2-5 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline…

Jumping Together: Apprenticeship Learning among Elite Trampoline Athletes

ERIC Educational Resources Information Center

Lund, Ole; Ravn, Susanne; Christensen, Mette Krogh

2014-01-01

Background: Elite athletes often take part in group trainings and use teammates as learning resources. Despite this, research on the training and learning of elite athletes tends to characterise this training and learning as primarily individual. Purpose: This study, explores interrelated learning processes among elite athletes by exploring the…

The Integration of Javanese Indigenous Knowledge in Biology Learning Resources Development

NASA Astrophysics Data System (ADS)

Anazifa, D.; Hadi, R. F.

2017-02-01

The student’s difficulties in learning and understanding Biology concepts are caused by the adoption of scientific phenomenon that not suitable with the environment they live in. Students who comes from the Javanese background sometimes find the Biology concepts hard to understand. Science content that comes from the West sometimes is not suitable with the student’s background, because the cultural and geographical background that underlining the science development are different. It can potentially cause the clash in constructing knowledge of students. The proportion of western knowledge and indigenous knowledge has to be balanced, in order to give the scientific rationale of the natural phenomenon that faced by students in everyday life. The ethnoscience experienced by student is still in the form of concrete experience as a result of the interaction with the nature. As one of the largest tribe in Indonesia, Javanese has many unique cultures that can be adopted in science classroom especially in Biology class. The role on ethnoscience in the context of developing Biology learning resources is to connect the science concept with the real world situation. By considering indigenous knowledge as one of learning resources, teachers can start to adjust the Javanese indigenous knowledge into the curriculum. This paper is literature review which will present the background, rationale, and procedure in integrating Javanese indigenous knowledge into Biology classroom as learning resources. The integration of Javanese indigenous knowledge in Biology learning resources development is necessary in order to connect the Biology concept into real situation.

Human Factors Engineering. Student Supplement,

DTIC Science & Technology

1981-08-01

a job TASK TAXONOMY A classification scheme for the different levels of activities in a system, i.e., job - task - sub-task, etc. TASK-AN~ALYSIS...with the classification of learning objectives by learning category so as to identify learningPhas III guidelines necessary for optimum learning to...correct. .4... .the sequencing of all dependent tasks. .1.. .the classification of learning objectives by learning category and the Identification of

Background Oriented Schlieren Using Celestial Objects

NASA Technical Reports Server (NTRS)

Haering, Edward, A., Jr. (Inventor); Hill, Michael A (Inventor)

2017-01-01

The present invention is a system and method of visualizing fluid flow around an object, such as an aircraft or wind turbine, by aligning the object between an imaging system and a celestial object having a speckled background, taking images, and comparing those images to obtain fluid flow visualization.

Learning to recognize objects on the fly: a neurally based dynamic field approach.

PubMed

Faubel, Christian; Schöner, Gregor

2008-05-01

Autonomous robots interacting with human users need to build and continuously update scene representations. This entails the problem of rapidly learning to recognize new objects under user guidance. Based on analogies with human visual working memory, we propose a dynamical field architecture, in which localized peaks of activation represent objects over a small number of simple feature dimensions. Learning consists of laying down memory traces of such peaks. We implement the dynamical field model on a service robot and demonstrate how it learns 30 objects from a very small number of views (about 5 per object are sufficient). We also illustrate how properties of feature binding emerge from this framework.

SAR image classification based on CNN in real and simulation datasets

NASA Astrophysics Data System (ADS)

Peng, Lijiang; Liu, Ming; Liu, Xiaohua; Dong, Liquan; Hui, Mei; Zhao, Yuejin

2018-04-01

Convolution neural network (CNN) has made great success in image classification tasks. Even in the field of synthetic aperture radar automatic target recognition (SAR-ATR), state-of-art results has been obtained by learning deep representation of features on the MSTAR benchmark. However, the raw data of MSTAR have shortcomings in training a SAR-ATR model because of high similarity in background among the SAR images of each kind. This indicates that the CNN would learn the hierarchies of features of backgrounds as well as the targets. To validate the influence of the background, some other SAR images datasets have been made which contains the simulation SAR images of 10 manufactured targets such as tank and fighter aircraft, and the backgrounds of simulation SAR images are sampled from the whole original MSTAR data. The simulation datasets contain the dataset that the backgrounds of each kind images correspond to the one kind of backgrounds of MSTAR targets or clutters and the dataset that each image shares the random background of whole MSTAR targets or clutters. In addition, mixed datasets of MSTAR and simulation datasets had been made to use in the experiments. The CNN architecture proposed in this paper are trained on all datasets mentioned above. The experimental results shows that the architecture can get high performances on all datasets even the backgrounds of the images are miscellaneous, which indicates the architecture can learn a good representation of the targets even though the drastic changes on background.

The Motivations of Iranian Patients With Cardiovascular Disease to Seek Health Information: A Qualitative Study

PubMed Central

Gholami, Mohammad; Fallahi Khoshknab, Masoud; Khankeh, Hamid Reza; Ahmadi, Fazlollah; Maddah, Sadat Seyed Bagher; Mousavi Arfaa, Nazila

2016-01-01

Background Cardiovascular patients need information to preserve and promote their health, but not all of them have the necessary motivation to seek relevant health knowledge. Objectives The present study analyzed experiences of patients, family caregivers, and healthcare providers to explore the motivating factors that cause cardiovascular patients to seek important health information. Patients and Methods This study was conducted using a qualitative approach and conventional qualitative content analysis method. Thirty-six people, including 18 cardiovascular patients, 7 family caregivers, and 11 healthcare providers (from multidisciplinary backgrounds) participated in the study. The data were collected through semi-structured interviews and purposeful sampling and continued until data saturation. Data collection and analysis proceeded simultaneously and with constant comparison; this study was carried out from May 2012 to May 2013. Results During the analysis process, three main themes were extracted that characterized participants’ experiences, perceptions, and motivations to seek health information. The themes were “Optimizing quality of life, “Desire for personal rights to be respected,” and “Gaining confidence through consultation.” Conclusions Our findings showed that, through seeking information, patients try to achieve well-being and realize their personal rights as well as their right to security. They should also be encouraged to enhance their quality of life by using the Knowles’ learning theory to formulate their needs and learning priorities. PMID:27437128

Designing Web-based telemedicine training for military health care providers.

PubMed

Bangert, D; Doktor, R; Johnson, E

2001-01-01

The purpose of the study was to ascertain those learning objectives that will initiate increased use of telemedicine by military health care providers. Telemedicine is increasingly moving to the center of the health care industry's service offerings. As this migration occurs, health professionals will require training for proper and effective change management. The United States Department of Defense (DoD) is embracing the use of telemedicine and wishes to use Web-based training as a tool for effective change management to increase use. This article summarizes the findings of an educational needs assessment of military health care providers for the creation of the DoD Web-based telemedicine training curriculum. Forty-eight health care professionals were interviewed and surveyed to capture their opinions on what learning objectives a telemedicine training curriculum should include. Twenty learning objectives were found to be needed in a telemedicine training program. These 20 learning objectives were grouped into four learning clusters that formed the structure for the training program. In order of importance, the learning clusters were clinical, technical, organizational, and introduction to telemedicine. From these clusters, five Web-based modules were created, with two addressing clinical learning needs and one for each of the other learning objective clusters.

Reinforcement active learning in the vibrissae system: optimal object localization.

PubMed

Gordon, Goren; Dorfman, Nimrod; Ahissar, Ehud

2013-01-01

Rats move their whiskers to acquire information about their environment. It has been observed that they palpate novel objects and objects they are required to localize in space. We analyze whisker-based object localization using two complementary paradigms, namely, active learning and intrinsic-reward reinforcement learning. Active learning algorithms select the next training samples according to the hypothesized solution in order to better discriminate between correct and incorrect labels. Intrinsic-reward reinforcement learning uses prediction errors as the reward to an actor-critic design, such that behavior converges to the one that optimizes the learning process. We show that in the context of object localization, the two paradigms result in palpation whisking as their respective optimal solution. These results suggest that rats may employ principles of active learning and/or intrinsic reward in tactile exploration and can guide future research to seek the underlying neuronal mechanisms that implement them. Furthermore, these paradigms are easily transferable to biomimetic whisker-based artificial sensors and can improve the active exploration of their environment. Copyright © 2012 Elsevier Ltd. All rights reserved.

Associative vocabulary learning: development and testing of two paradigms for the (re-) acquisition of action- and object-related words.

PubMed

Freundlieb, Nils; Ridder, Volker; Dobel, Christian; Enriquez-Geppert, Stefanie; Baumgaertner, Annette; Zwitserlood, Pienie; Gerloff, Christian; Hummel, Friedhelm C; Liuzzi, Gianpiero

2012-01-01

Despite a growing number of studies, the neurophysiology of adult vocabulary acquisition is still poorly understood. One reason is that paradigms that can easily be combined with neuroscientfic methods are rare. Here, we tested the efficiency of two paradigms for vocabulary (re-) acquisition, and compared the learning of novel words for actions and objects. Cortical networks involved in adult native-language word processing are widespread, with differences postulated between words for objects and actions. Words and what they stand for are supposed to be grounded in perceptual and sensorimotor brain circuits depending on their meaning. If there are specific brain representations for different word categories, we hypothesized behavioural differences in the learning of action-related and object-related words. Paradigm A, with the learning of novel words for body-related actions spread out over a number of days, revealed fast learning of these new action words, and stable retention up to 4 weeks after training. The single-session Paradigm B employed objects and actions. Performance during acquisition did not differ between action-related and object-related words (time*word category: p = 0.01), but the translation rate was clearly better for object-related (79%) than for action-related words (53%, p = 0.002). Both paradigms yielded robust associative learning of novel action-related words, as previously demonstrated for object-related words. Translation success differed for action- and object-related words, which may indicate different neural mechanisms. The paradigms tested here are well suited to investigate such differences with neuroscientific means. Given the stable retention and minimal requirements for conscious effort, these learning paradigms are promising for vocabulary re-learning in brain-lesioned people. In combination with neuroimaging, neuro-stimulation or pharmacological intervention, they may well advance the understanding of language learning to optimize therapeutic strategies.

``Staying in Focus'' - An Online Optics Tutorial on the Eye

NASA Astrophysics Data System (ADS)

Hoeling, Barbara M.

2011-02-01

The human eye and its vision problems are often used as an entry subject and attention grabber in the teaching of geometrical optics. While this is a real-life application students can relate to, it is difficult to visualize how the eye forms images by studying the still pictures and drawings in a textbook. How to draw a principal ray diagram or how to calculate the image distance from a given object distance and focal length might be clear to most students after studying the book, but even then they often lack an understanding of the "big picture." Where is the image of a very far away object located? How come we can see both far away and close-by objects focused (although not simultaneously)? Computer animations,2 popular with our computer-game savvy students, provide considerably more information than the still images, especially if they allow the user to manipulate parameters and to observe the outcome of a "virtual" experiment. However, as stand-alone learning tools, they often don't provide the students with the necessary physics background or instruction on how to use them.

Object Familiarity Facilitates Foreign Word Learning in Preschoolers

ERIC Educational Resources Information Center

Sera, Maria D.; Cole, Caitlin A.; Oromendia, Mercedes; Koenig, Melissa A.

2014-01-01

Studying how children learn words in a foreign language can shed light on how language learning changes with development. In one experiment, we examined whether three-, four-, and five-year-olds could learn and remember words for familiar and unfamiliar objects in their native English and a foreign language. All age groups could learn and remember…

Technically Speaking: Transforming Language Learning through Virtual Learning Environments (MOOs).

ERIC Educational Resources Information Center

von der Emde, Silke; Schneider, Jeffrey; Kotter, Markus

2001-01-01

Draws on experiences from a 7-week exchange between students learning German at an American college and advanced students of English at a German university. Maps out the benefits to using a MOO (multiple user domains object-oriented) for language learning: a student-centered learning environment structured by such objectives as peer teaching,…

An “Education for Life” Requirement to Promote Lifelong Learning in an Internal Medicine Residency Program

PubMed Central

Panda, Mukta; Desbiens, Norman A.

2010-01-01

Background Lifelong learning is an integral component of practice-based learning and improvement. Physicians need to be lifelong learners to provide timely, efficient, and state-of-the-art patient care in an environment where knowledge, technology, and social requirements are rapidly changing. Objectives To assess graduates' self-reported perception of the usefulness of a residency program requirement to submit a narrative report describing their planned educational modalities for their future continued medical learning (“Education for Life” requirement), and to compare the modalities residents intended to use with their reported educational activities. Materials and Methods Data was compiled from the Education for Life reports submitted by internal medicine residents at the University of Tennessee College of Medicine Chattanooga from 1998 to 2000, and from a survey sent to the same 27 graduates 2 to 4 years later from 2000 to 2004. Results Twenty-four surveys (89%) were returned. Of the responding graduates, 58% (14/24) found the Education for Life requirement useful for their future continued medical learning. Graduates intended to keep up with a mean of 3.4 educational modalities, and they reported keeping up with 4.2. In a multivariable analysis, the number of modalities graduates used was significantly associated with the number they had planned to use before graduation (P  =  .04) but not with their career choice of subspecialization. Conclusion The majority of residents found the Education for Life requirement useful for their future continued medical learning. Graduates, regardless of specialty, reported using more modalities for continuing their medical education than they thought they would as residents. Considering lifelong learning early in training and then requiring residents to identify ways to practice lifelong learning as a requirement for graduation may be dispositive. PMID:22132278

From brain synapses to systems for learning and memory: Object recognition, spatial navigation, timed conditioning, and movement control.

PubMed

Grossberg, Stephen

2015-09-24

This article provides an overview of neural models of synaptic learning and memory whose expression in adaptive behavior depends critically on the circuits and systems in which the synapses are embedded. It reviews Adaptive Resonance Theory, or ART, models that use excitatory matching and match-based learning to achieve fast category learning and whose learned memories are dynamically stabilized by top-down expectations, attentional focusing, and memory search. ART clarifies mechanistic relationships between consciousness, learning, expectation, attention, resonance, and synchrony. ART models are embedded in ARTSCAN architectures that unify processes of invariant object category learning, recognition, spatial and object attention, predictive remapping, and eye movement search, and that clarify how conscious object vision and recognition may fail during perceptual crowding and parietal neglect. The generality of learned categories depends upon a vigilance process that is regulated by acetylcholine via the nucleus basalis. Vigilance can get stuck at too high or too low values, thereby causing learning problems in autism and medial temporal amnesia. Similar synaptic learning laws support qualitatively different behaviors: Invariant object category learning in the inferotemporal cortex; learning of grid cells and place cells in the entorhinal and hippocampal cortices during spatial navigation; and learning of time cells in the entorhinal-hippocampal system during adaptively timed conditioning, including trace conditioning. Spatial and temporal processes through the medial and lateral entorhinal-hippocampal system seem to be carried out with homologous circuit designs. Variations of a shared laminar neocortical circuit design have modeled 3D vision, speech perception, and cognitive working memory and learning. A complementary kind of inhibitory matching and mismatch learning controls movement. This article is part of a Special Issue entitled SI: Brain and Memory. Copyright © 2014 Elsevier B.V. All rights reserved.

Common Learning Objectives for Undergraduate Control Systems Laboratories

ERIC Educational Resources Information Center

Reck, Rebecca M.

2017-01-01

Course objectives, like research objectives and product requirements, help provide clarity and direction for faculty and students. Unfortunately, course and laboratory objectives are not always clearly stated. Without a clear set of objectives, it can be hard to design a learning experience and determine whether students are achieving the intended…

A framework for analyzing interdisciplinary tasks: implications for student learning and curricular design.

PubMed

Gouvea, Julia Svoboda; Sawtelle, Vashti; Geller, Benjamin D; Turpen, Chandra

2013-06-01

The national conversation around undergraduate science instruction is calling for increased interdisciplinarity. As these calls increase, there is a need to consider the learning objectives of interdisciplinary science courses and how to design curricula to support those objectives. We present a framework that can help support interdisciplinary design research. We developed this framework in an introductory physics for life sciences majors (IPLS) course for which we designed a series of interdisciplinary tasks that bridge physics and biology. We illustrate how this framework can be used to describe the variation in the nature and degree of interdisciplinary interaction in tasks, to aid in redesigning tasks to better align with interdisciplinary learning objectives, and finally, to articulate design conjectures that posit how different characteristics of these tasks might support or impede interdisciplinary learning objectives. This framework will be useful for both curriculum designers and education researchers seeking to understand, in more concrete terms, what interdisciplinary learning means and how integrated science curricula can be designed to support interdisciplinary learning objectives.

The construction of learning objects on communicable diseases for community health agents.

PubMed

Pacheco, Kátia Cilene Ferreira; Azambuja, Marcelo Schenk de; Bonamigo, Andrea Wander

2018-06-07

To describe the creation of a learning object about communicable diseases and their identification, monitoring, and prevention for community health agents. The qualitative, exploratory, case study conducted in the North District Management Zone - Baltazar of the Universidade Federal de Ciências da Saúde de Porto Alegre, from October to January 2015 2016. The study had 58 participants and consisted of the stages field research, Bardin's content analysis, and design of the learning object. The profile of the professionals working in the location was established. These agents identified the most commonly found diseases and stressed their needs in relation to a technological resource. The identified needs were considered to define the content and structure the learning object. The learning object is an alternative method for sharing knowledge on communicable diseases. The tool allows the combination of technology with teaching, which makes the learning process and the work of the community health agents more rewarding and productive.

A Framework for Analyzing Interdisciplinary Tasks: Implications for Student Learning and Curricular Design

PubMed Central

Gouvea, Julia Svoboda; Sawtelle, Vashti; Geller, Benjamin D.; Turpen, Chandra

2013-01-01

The national conversation around undergraduate science instruction is calling for increased interdisciplinarity. As these calls increase, there is a need to consider the learning objectives of interdisciplinary science courses and how to design curricula to support those objectives. We present a framework that can help support interdisciplinary design research. We developed this framework in an introductory physics for life sciences majors (IPLS) course for which we designed a series of interdisciplinary tasks that bridge physics and biology. We illustrate how this framework can be used to describe the variation in the nature and degree of interdisciplinary interaction in tasks, to aid in redesigning tasks to better align with interdisciplinary learning objectives, and finally, to articulate design conjectures that posit how different characteristics of these tasks might support or impede interdisciplinary learning objectives. This framework will be useful for both curriculum designers and education researchers seeking to understand, in more concrete terms, what interdisciplinary learning means and how integrated science curricula can be designed to support interdisciplinary learning objectives. PMID:23737627

What Should American-Born Chinese Children Learn?

ERIC Educational Resources Information Center

Chang, Shirley

This paper discusses the teaching of Chinese to both students with Chinese background and students with non-Chinese background. It is suggested that students with a Chinese background be separated from those without a Chinese background in order not to discourage the latter group from studying Chinese. Chinese background students should be taught…

OECD Thematic Review on Adult Learning: Norway. Background Report.

ERIC Educational Resources Information Center

Tangen, Fride

Adult learning in Norway was examined in a thematic review that focused on the following areas: the contexts of adult learning; the participants in, providers of, and returns from adult learning; issues and problems facing adult learning; and good practices. The following are among the main findings of the review: (1) adult learning has a long…

The Influence of Culture and Attitudes on Reading Comprehension in SL: The Case of Jews Learning English and Arabs Learning Hebrew.

ERIC Educational Resources Information Center

Abu-Rabia, Salim

1996-01-01

Investigates attitudes and cultural background of Israeli Arab students learning Hebrew and Israeli Jewish students learning English to reading comprehension in familiar/unfamiliar cultural stories. Compares contexts: Arabs as minority group learning the majority language and Jews as majority group learning a minority language. Indicates that…

[Self-directed learning and academic background of 2010 to 2014 cohorts of medical students].

PubMed

Pérez-Villalobos, Cristhian E; Fasce-Henry, Eduardo A; Ortega-Bastidas, Javiera A; Ortiz-Moreira, Liliana E; Bastías-Vega, Nancy; Bustamante-Durán, Carolina E; Ibáñez-Gracia, Pilar; Márquez-Urrizola, Carolina G; Delgado-Rivera, Macarena; Glaría-López, Rocío

2017-07-01

The widespread growth of higher education is increasing the heterogeneity of university students in terms of socioeconomic characteristics, academic story and cultural background. Medical schools are not an exception of this phenomenon. To compare the academic background and self-directed learning behavior of students who entered to a public medial school between 2010 and 2014. A non-probabilistic sample of 527 medical students aged between 17 and 29 years (60% men), was studied. Their academic information was collected from the University data base; they answered the Self-directed learning readiness scale of Fisher. Students from the 2014 cohort had higher high school grades than their counterparts. The scores in mathematics of the Scholarship Aptitude Test (SAT) were higher in the cohorts of 2010 and 2011. Those of the sciences test were superior in the 2013 cohort. The 2014 cohort had the lower general score of self-directed learning behaviors. The lower SAT and self-directed learning scores of the students entering medical school in 2014, indicate the progressive increase in the heterogeneity of Medical students.

OLIVER: an online library of images for veterinary education and research.

PubMed

McGreevy, Paul; Shaw, Tim; Burn, Daniel; Miller, Nick

2007-01-01

As part of a strategic move by the University of Sydney toward increased flexibility in learning, the Faculty of Veterinary Science undertook a number of developments involving Web-based teaching and assessment. OLIVER underpins them by providing a rich, durable repository for learning objects. To integrate Web-based learning, case studies, and didactic presentations for veterinary and animal science students, we established an online library of images and other learning objects for use by academics in the Faculties of Veterinary Science and Agriculture. The objectives of OLIVER were to maximize the use of the faculty's teaching resources by providing a stable archiving facility for graphic images and other multimedia learning objects that allows flexible and precise searching, integrating indexing standards, thesauri, pull-down lists of preferred terms, and linking of objects within cases. OLIVER offers a portable and expandable Web-based shell that facilitates ongoing storage of learning objects in a range of media. Learning objects can be downloaded in common, standardized formats so that they can be easily imported for use in a range of applications, including Microsoft PowerPoint, WebCT, and Microsoft Word. OLIVER now contains more than 9,000 images relating to many facets of veterinary science; these are annotated and supported by search engines that allow rapid access to both images and relevant information. The Web site is easily updated and adapted as required.

Object based implicit contextual learning: a study of eye movements.

PubMed

van Asselen, Marieke; Sampaio, Joana; Pina, Ana; Castelo-Branco, Miguel

2011-02-01

Implicit contextual cueing refers to a top-down mechanism in which visual search is facilitated by learned contextual features. In the current study we aimed to investigate the mechanism underlying implicit contextual learning using object information as a contextual cue. Therefore, we measured eye movements during an object-based contextual cueing task. We demonstrated that visual search is facilitated by repeated object information and that this reduction in response times is associated with shorter fixation durations. This indicates that by memorizing associations between objects in our environment we can recognize objects faster, thereby facilitating visual search.

Outcomes-Based Collaborative Teaching and Learning in Asian Higher Education

ERIC Educational Resources Information Center

van Schalkwyk, Gertina J.

2015-01-01

This chapter explores the background and development of outcomes-based collaborative teaching and learning, and provides guidance for writing learning outcomes and engaging students in the Asian higher education context.

Prediction errors to emotional expressions: the roles of the amygdala in social referencing.

PubMed

Meffert, Harma; Brislin, Sarah J; White, Stuart F; Blair, James R

2015-04-01

Social referencing paradigms in humans and observational learning paradigms in animals suggest that emotional expressions are important for communicating valence. It has been proposed that these expressions initiate stimulus-reinforcement learning. Relatively little is known about the role of emotional expressions in reinforcement learning, particularly in the context of social referencing. In this study, we examined object valence learning in the context of a social referencing paradigm. Participants viewed objects and faces that turned toward the objects and displayed a fearful, happy or neutral reaction to them, while judging the gender of these faces. Notably, amygdala activation was larger when the expressions following an object were less expected. Moreover, when asked, participants were both more likely to want to approach, and showed stronger amygdala responses to, objects associated with happy relative to objects associated with fearful expressions. This suggests that the amygdala plays two roles in social referencing: (i) initiating learning regarding the valence of an object as a function of prediction errors to expressions displayed toward this object and (ii) orchestrating an emotional response to the object when value judgments are being made regarding this object. Published by Oxford University Press 2014. This work is written by US Government employees and is in the public domain in the US.

Managing and learning with multiple models: Objectives and optimization algorithms

USGS Publications Warehouse

Probert, William J. M.; Hauser, C.E.; McDonald-Madden, E.; Runge, M.C.; Baxter, P.W.J.; Possingham, H.P.

2011-01-01

The quality of environmental decisions should be gauged according to managers' objectives. Management objectives generally seek to maximize quantifiable measures of system benefit, for instance population growth rate. Reaching these goals often requires a certain degree of learning about the system. Learning can occur by using management action in combination with a monitoring system. Furthermore, actions can be chosen strategically to obtain specific kinds of information. Formal decision making tools can choose actions to favor such learning in two ways: implicitly via the optimization algorithm that is used when there is a management objective (for instance, when using adaptive management), or explicitly by quantifying knowledge and using it as the fundamental project objective, an approach new to conservation.This paper outlines three conservation project objectives - a pure management objective, a pure learning objective, and an objective that is a weighted mixture of these two. We use eight optimization algorithms to choose actions that meet project objectives and illustrate them in a simulated conservation project. The algorithms provide a taxonomy of decision making tools in conservation management when there is uncertainty surrounding competing models of system function. The algorithms build upon each other such that their differences are highlighted and practitioners may see where their decision making tools can be improved. ?? 2010 Elsevier Ltd.

Examination of the Safety of Pediatric Vaccine Schedules in a Non-Human Primate Model: Assessments of Neurodevelopment, Learning, and Social Behavior

PubMed Central

Curtis, Britni; Liberato, Noelle; Rulien, Megan; Morrisroe, Kelly; Kenney, Caroline; Yutuc, Vernon; Ferrier, Clayton; Marti, C. Nathan; Mandell, Dorothy; Burbacher, Thomas M.; Sackett, Gene P.

2015-01-01

Background In the 1990s, the mercury-based preservative thimerosal was used in most pediatric vaccines. Although there are currently only two thimerosal-containing vaccines (TCVs) recommended for pediatric use, parental perceptions that vaccines pose safety concerns are affecting vaccination rates, particularly in light of the much expanded and more complex schedule in place today. Objectives The objective of this study was to examine the safety of pediatric vaccine schedules in a non-human primate model. Methods We administered vaccines to six groups of infant male rhesus macaques (n = 12–16/group) using a standardized thimerosal dose where appropriate. Study groups included the recommended 1990s Pediatric vaccine schedule, an accelerated 1990s Primate schedule with or without the measles–mumps–rubella (MMR) vaccine, the MMR vaccine only, and the expanded 2008 schedule. We administered saline injections to age-matched control animals (n = 16). Infant development was assessed from birth to 12 months of age by examining the acquisition of neonatal reflexes, the development of object concept permanence (OCP), computerized tests of discrimination learning, and infant social behavior. Data were analyzed using analysis of variance, multilevel modeling, and survival analyses, where appropriate. Results We observed no group differences in the acquisition of OCP. During discrimination learning, animals receiving TCVs had improved performance on reversal testing, although some of these same animals showed poorer performance in subsequent learning-set testing. Analysis of social and nonsocial behaviors identified few instances of negative behaviors across the entire infancy period. Although some group differences in specific behaviors were reported at 2 months of age, by 12 months all infants, irrespective of vaccination status, had developed the typical repertoire of macaque behaviors. Conclusions This comprehensive 5-year case–control study, which closely examined the effects of pediatric vaccines on early primate development, provided no consistent evidence of neurodevelopmental deficits or aberrant behavior in vaccinated animals. Citation Curtis B, Liberato N, Rulien M, Morrisroe K, Kenney C, Yutuc V, Ferrier C, Marti CN, Mandell D, Burbacher TM, Sackett GP, Hewitson L. 2015. Examination of the safety of pediatric vaccine schedules in a non-human primate model: assessments of neurodevelopment, learning, and social behavior. Environ Health Perspect 123:579–589; http://dx.doi.org/10.1289/ehp.1408257 PMID:25690930

Assessment of two different types of bias affecting the results of outcome-based evaluation in undergraduate medical education

PubMed Central

2014-01-01

Background Estimating learning outcome from comparative student self-ratings is a reliable and valid method to identify specific strengths and shortcomings in undergraduate medical curricula. However, requiring students to complete two evaluation forms (i.e. one before and one after teaching) might adversely affect response rates. Alternatively, students could be asked to rate their initial performance level retrospectively. This approach might threaten the validity of results due to response shift or effort justification bias. Methods Two consecutive cohorts of medical students enrolled in a six-week cardio-respiratory module were enrolled in this study. In both cohorts, performance gain was estimated for 33 specific learning objectives. In the first cohort, outcomes calculated from ratings provided before (pretest) and after (posttest) teaching were compared to outcomes derived from comparative self-ratings collected after teaching only (thentest and posttest). In the second cohort, only thentests and posttests were used to calculate outcomes, but data collection tools differed with regard to item presentation. In one group, thentest and posttest ratings were obtained sequentially on separate forms while in the other, both ratings were obtained simultaneously for each learning objective. Results Using thentest ratings to calculate performance gain produced slightly higher values than using true pretest ratings. Direct comparison of then- and posttest ratings also yielded slightly higher performance gain than sequential ratings, but this effect was negligibly small. Conclusions Given the small effect sizes, using thentests appears to be equivalent to using true pretest ratings. Item presentation in the posttest does not significantly impact on results. PMID:25043503

E-assessment of prior learning: a pilot study of interactive assessment of staff with no formal education who are working in Swedish elderly care

PubMed Central

2014-01-01

Background The current paper presents a pilot study of interactive assessment using information and communication technology (ICT) to evaluate the knowledge, skills and abilities of staff with no formal education who are working in Swedish elderly care. Methods Theoretical and practical assessment methods were developed and used with simulated patients and computer-based tests to identify strengths and areas for personal development among staff with no formal education. Results Of the 157 staff with no formal education, 87 began the practical and/or theoretical assessments, and 63 completed both assessments. Several of the staff passed the practical assessments, except the morning hygiene assessment, where several failed. Other areas for staff development, i.e. where several failed (>50%), were the theoretical assessment of the learning objectives: Health, Oral care, Ergonomics, hygiene, esthetic, environmental, Rehabilitation, Assistive technology, Basic healthcare and Laws and organization. None of the staff passed all assessments. Number of years working in elderly care and staff age were not statistically significantly related to the total score of grades on the various learning objectives. Conclusion The interactive assessments were useful in assessing staff members’ practical and theoretical knowledge, skills, and abilities and in identifying areas in need of development. It is important that personnel who lack formal qualifications be clearly identified and given a chance to develop their competence through training, both theoretical and practical. The interactive e-assessment approach analyzed in the present pilot study could serve as a starting point. PMID:24742168

Neurocognitive Changes among Elderly Exposed to PCBs/PCDFs in Taiwan

PubMed Central

Lin, Kao-Chang; Guo, Nai-Wen; Tsai, Pei-Chien; Yang, Chiu-Yueh; Guo, YueLiang Leon

2008-01-01

Background In 1979 approximately 2,000 people were exposed to polychlorinated biphenyls (PCBs) and polychlorinated dibenzofurans (PCDFs) due to ingestion of contaminated cooking oil in Taiwan. Although a previous study has shown delayed developmental milestones and poorer neurocognitive functioning in children born to exposed mothers, it is unclear whether neurocognitive functioning was impaired in people who were directly exposed to the PCBs and PDCFs. Objective The objective of this study was to compare neurocognitive functioning in people exposed to PCBs and PCDFs with that of unexposed sex- and age-matched neighbors. Methods We conducted a retrospective cohort study among exposed and unexposed subjects ≥60 years of age using prospective outcome measurements. We evaluated neurocognitive tests including cognition, memory modalities, learning, motor and sensory function, mood, and daily activity. Results In total, 162 (59%) exposed and 151 (55%) reference subjects completed this study. In exposed men, all test results were similar to the reference group; however, exposed women had reduced functioning in attention and digit span (ADS), visual memory span (VMS), and verbal memory recalls (VMR), especially learning ability. We also found a borderline reduction in the Mini-Mental State Examination. The digit symbol, motor, sensory, depression (determined by the Geriatric Depression Scale-Short Form), and activity of daily life were not different between the exposed and reference groups. A significant dose–response relationship was found for VMR, ADS, and VMS. Conclusion Our study showed dose-dependent neurocognitive deficits in certain aspects of attention, visual memory, and learning ability in women previously exposed to PCBs and PCDFs, but not in exposed men. PMID:18288316

Interservice Procedures for Instructional Systems Development. Phase 3. Develop

DTIC Science & Technology

1975-08-01

Occur at wide intervals to be learned *Reads about the actions to *Occur at the end, but before be learned tests or on-the-job performance *Watches a...the particular sub-category. Use the learning objective action statement, conditions, standards, and the test item to help select which guidelines to...objective. EXAMPLE If you have a CLASSIFYING objective like "identifying poisonous plants,’ when you get to guideline 16. "To test learning, require the

Let’s Get Healthy! Health Awareness Through Public Participation in an Education and Research Exhibit

PubMed Central

Marriott, Lisa K.; Cameron, William E.; Purnell, Jonathan Q.; Cetola, Stephano; Ito, Matthew K.; Williams, Craig D.; Newcomb, Kenneth C.; Randall, Joan A.; Messenger, Wyatt B.; Lipus, Adam C.; Shannon, Jackilen

2013-01-01

Background Health information technology (HIT) offers a resource for public empowerment through tailored information. Objective Use interactive community health events to improve awareness of chronic disease risk factors while collecting data to improve health. Methods Let’s Get Healthy! is an education and research program in which participants visit interactive research stations to learn about their own health (diet, body composition, blood chemistry). HIT enables computerized data collection that presents participants with immediate results and tailored educational feedback. An anonymous wristband number links collected data in a population database. Results and Lessons Learned Communities tailor events to meet community health needs with volunteers trained to conduct research. Participants experience being a research participant and contribute to an anonymous population database for both traditional research purposes and open-source community use. Conclusions By integrating HIT with community involvement, health fairs become an interactive method for engaging communities in research and raising health awareness. PMID:22982846

The development of fast-mapping and novel word retention strategies in monolingual and bilingual infants.

PubMed

Kalashnikova, Marina; Escudero, Paola; Kidd, Evan

2018-04-30

The mutual exclusivity (ME) assumption is proposed to facilitate early word learning by guiding infants to map novel words to novel referents. This study assessed the emergence and use of ME to both disambiguate and retain the meanings of novel words across development in 18-month-old monolingual and bilingual children (Experiment 1; N = 58), and in a sub-group of these children again at 24 months of age (Experiment 2: N = 32). Both monolinguals and bilinguals employed ME to select the referent of a novel label to a similar extent at 18 and 24 months. At 18 months, there were also no differences in novel word retention between the two language-background groups. However, at 24 months, only monolinguals showed the ability to retain these label-object mappings. These findings indicate that the development of the ME assumption as a reliable word-learning strategy is shaped by children's individual language exposure and experience with language use. © 2018 John Wiley & Sons Ltd.

The Asian American Hepatitis B Program: Building a Coalition to Address Hepatitis B Health Disparities

PubMed Central

Trinh-Shevrin, Chau; Pollack, Henry J.; Tsang, Thomas; Park, Jihyun; Ramos, Mary Ruchel; Islam, Nadia; Wang, Su; Chun, Kay; Sim, Shao-Chee; Pong, Perry; Rey, Mariano Jose; Kwon, Simona C.

2012-01-01

Background Community coalitions are increasingly recognized as important strategies for addressing health disparities. By providing the opportunity to pool resources, they provide a means to develop and sustain innovative approaches to affect community health. Objectives This article describes the challenges and lessons learned in building the Asian American Hepatitis B Program (AAHBP) coalition to conduct a community-based participatory research (CBPR) initiative to address hepatitis B (HBV) among New York City Asian-American communities. Methods Using the stages of coalition development as a framework, a comprehensive assessment of the process of developing and implementing the AAHBP coalition is presented. Lessons Learned Findings highlight the importance of developing a sound infrastructure and set of processes to foster a greater sense of ownership, shared vision, and investment in the program. Conclusion Grassroots community organizing and campus–community partnerships can be successfully leveraged to address and prevent a significant health disparity in an underserved and diverse community. PMID:22080774

Atelier paludisme: an international malaria training course held in Madagascar.

PubMed

Domarle, Olivier; Randrianarivelojosia, Milijaona; Duchemin, Jean-Bernard; Robert, Vincent; Ariey, Frédéric

2008-05-09

The Atelier Paludisme (Malaria Workshop) is an international training course organized by the Institut Pasteur de Madagascar, which has been held annually for the past five years. The course was designed for both young and experienced researchers, as well as for healthcare professionals, mostly from malaria-endemic countries. Its objective is to provide participants with a broad knowledge of all features of malaria, to improve their skills in project management, to break geographical isolation by using the Internet as a source of documentary information. This six-week course makes use of concepts of andragogy and problem-based learning, i.e. a relationship between participants and tutors, which promotes a process of exchange rather than the simple transmission of knowledge, where participants have to search actively for information. This approach to training, combined with the wide background and experience of those involved, creates positive dynamics and enables participants to acquire new skills, develop their critical and analytical abilities. This paper describes the course and the lessons learned from its evaluation.

A Funding Initiative for Community-Based Participatory Research: Lessons from the Harvard Catalyst Seed Grants

PubMed Central

Tendulkar, Shalini A.; Chu, Jocelyn; Opp, Jennifer; Geller, Alan; DiGirolamo, Ann; Gandelman, Ediss; Grullon, Milagro; Patil, Pratima; King, Stacey; Hacker, Karen

2013-01-01

Background The National Institutes of Health–funded Clinical and Translational Science Awards (CTSA) have increasingly focused on community-engaged research and funded investigators for community-based participatory research (CBPR). However, because CBPR is a collaborative process focused on community-identified research topics, the Harvard CTSA and its Community Advisory Board (CERAB) funded community partners through a CBPR initiative. Objectives We describe lessons learned from this seed grants initiative designed to stimulate community–academic CBPR partnerships. Methods The CBPR program of the Harvard CTSA and the CERAB developed this initiative and each round incorporated participant and advisory feedback toward program improvement. Lessons Learned Although this initiative facilitated relevant and innovative research, challenges included variable community research readiness, insufficient project time, and difficulties identifying investigators for new partnerships. Conclusion Seed grants can foster innovative CBPR projects. Similar initiatives should consider preliminary assessments of community research readiness as well as strategies for meaningful academic researcher engagement. PMID:21441667

Collaboration Strategies in Nontraditional Community-Based Participatory Research Partnerships: Lessons From an Academic–Community Partnership With Autistic Self-Advocates

PubMed Central

Nicolaidis, Christina; Raymaker, Dora; McDonald, Katherine; Dern, Sebastian; Ashkenazy, Elesia; Boisclair, Cody; Robertson, Scott; Baggs, Amanda

2012-01-01

Background Most community-based participatory research (CBPR) projects involve local communities defined by race, ethnicity, geography, or occupation. Autistic self-advocates, a geographically dispersed community defined by disability, experience issues in research similar to those expressed by more traditional minorities. Objectives We sought to build an academic–community partnership that uses CBPR to improve the lives of people on the autistic spectrum. Methods The Academic Autistic Spectrum Partnership in Research and Education (AASPIRE) includes representatives from academic, self-advocate, family, and professional communities. We are currently conducting several studies about the health care experiences and well-being of autistic adults. Lessons Learned We have learned a number of strategies that integrate technology and process to successfully equalize power and accommodate diverse communication and collaboration needs. Conclusions CBPR can be conducted successfully with autistic self-advocates. Our strategies may be useful to other CBPR partnerships, especially ones that cannot meet in person or that include people with diverse communication needs. PMID:21623016

Imprinting modulates processing of visual information in the visual wulst of chicks

PubMed Central

Maekawa, Fumihiko; Komine, Okiru; Sato, Katsushige; Kanamatsu, Tomoyuki; Uchimura, Motoaki; Tanaka, Kohichi; Ohki-Hamazaki, Hiroko

2006-01-01

Background Imprinting behavior is one form of learning and memory in precocial birds. With the aim of elucidating of the neural basis for visual imprinting, we focused on visual information processing. Results A lesion in the visual wulst, which is similar functionally to the mammalian visual cortex, caused anterograde amnesia in visual imprinting behavior. Since the color of an object was one of the important cues for imprinting, we investigated color information processing in the visual wulst. Intrinsic optical signals from the visual wulst were detected in the early posthatch period and the peak regions of responses to red, green, and blue were spatially organized from the caudal to the nasal regions in dark-reared chicks. This spatial representation of color recognition showed plastic changes, and the response pattern along the antero-posterior axis of the visual wulst altered according to the color the chick was imprinted to. Conclusion These results indicate that the thalamofugal pathway is critical for learning the imprinting stimulus and that the visual wulst shows learning-related plasticity and may relay processed visual information to indicate the color of the imprint stimulus to the memory storage region, e.g., the intermediate medial mesopallium. PMID:17101060

Canadian Otolaryngology - Head and Neck Surgery clerkship curricula: evolving toward tomorrow’s learners

PubMed Central

2013-01-01

Background Increasing focus is being placed on Clerkship curriculum design and implementation in light of new undergraduate medical education research and accreditation standards. Canadian Otolaryngology-Head and Neck Surgery (OTOHNS) Clerkship programs are continually but independently evolving towards a common goal of improving Clerkship curriculum. Methods An electronic survey was sent to undergraduate OTOHNS directors at all Canadian medical schools (n = 17) examining their Clerkship curricula. Themes included Clerkship format, teaching methods, faculty support and development, program strengths, and barriers. Results Survey response rate was 76%. All responding schools had OTOHNS Clerkship programs ranging in type (mandatory, selective or elective) and length (<1 to 4 weeks). Learning modalities varied. Electronic learning tools were identified as increasingly important to curriculum delivery. Common strengths included wide clinical exposure and one-on-one mentoring. Multiple challenges were identified in curriculum implementation and evaluation. All schools expressed interest in developing national standards, objectives and e-learning resources. Conclusions Significant variation exists in OTOHNS Clerkship experiences between Canadian medical schools. Many schools perceive barriers of insufficient time, space and curriculum standardization. Interested Canadian OTOHNS educators are eager to collaborate to improve the collective OTOHNS Clerkship experience. PMID:23663703

Relationships among Blood Pressure, Triglycerides and Verbal Learning in African Americans

PubMed Central

Sims, Regina C.; Madhere, Serge; Gordon, Shalanda; Clark, Elijah; Abayomi, Kobi A.; Callender, Clive O.; Campbell, Alfonso L.

2013-01-01

Background Individuals at greater risk for cardiovascular disease (CVD) display poorer cognitive functioning across various cognitive domains. This finding is particularly prevalent among older adults; however, few studies examine these relationships among younger adults or among African Americans. Purpose The objective was to examine the relationships among 2 cardiovascular risk factors, elevated blood pressure and elevated triglycerides, and verbal learning in a community-based sample of African Americans. Methods Measurements of blood pressure and triglycerides were obtained in 121 African-American adults and compared to performance on 3 domains of the California Verbal Learning Test-II (CVLT-II). Results Blood pressure was not related to CVLT-II performance. Triglyceride levels were inversely related to CVLT-II performance. Higher triglyceride levels were associated with poorer immediate, short delay and long delay recall. Conclusions Consistent with studies involving older participants, the current investigation shows that in a nonelderly sample of African Americans, triglyceride levels may be related to cognitive functioning. Because early detection and intervention of vascular-related cognitive impairment may have a salutary effect, future studies should include younger adults to highlight the impact of cardiovascular risk on cognition. PMID:18942281

Portuguese Coaches' Perceptions of and Preferences for Knowledge Sources Related to their Professional Background.

PubMed

Mesquita, Isabel; Isidro, Sofia; Rosado, António

2010-01-01

The purpose of this study was to analyse Portuguese coaches' perceptions of, and preferences for, knowledge sources as related to professional background; namely academic education level, coach education level and coaching experience. The study's participants comprised 336 Portuguese coaches from twenty-two sports. A questionnaire was used to identify coaches' demographic characteristics and representations about their preferred sources of coaching knowledge. MANOVA using Tukey's HSD test was used to compare groups. The results highlighted that coaches perceived that coaching knowledge is built from a broad range of sources from personal coaching and playing experiences to more explicit formal, informal and non-formal learning situations. Results indicated that the coaches ascribed more importance to experiential sources such as working with experts, learning by doing, interacting with peer coaches and attending informal seminars and clinics, than to the formal learning situations provided by the national coaching certification programs. Differences, however, were found in that coaches who had a greater background within higher education (physical) and sport valued informal and non-formal learning sources more than did coaches who were defined as not coming from an academic background. The findings point to the importance of developing new learning, experientially-based, opportunities within the Portuguese context, where curricula content continues to be delivered via didactic means. Key pointsCoaches recognized that learning is obtained from a broad range of sources of coaching knowledge and each source has a particular role in the development of a coach.Experiential guided sources reached more importance to coaches as working with experts, learning by doing, attending seminars/clinics outside of the formal system and interaction with peers were the most acknowledged.The only source that is related to formal learning, national certification programs, was recognized as the less importance than all informal and non-formal learning situations.The profile of the source of coaching knowledge showed to be stable among coaches as only the academic education level differentiated the coaches' perceptions.

Portuguese Coaches’ Perceptions of and Preferences for Knowledge Sources Related to their Professional Background

PubMed Central

Mesquita, Isabel; Isidro, Sofia; Rosado, António

2010-01-01

The purpose of this study was to analyse Portuguese coaches’ perceptions of, and preferences for, knowledge sources as related to professional background; namely academic education level, coach education level and coaching experience. The study’s participants comprised 336 Portuguese coaches from twenty-two sports. A questionnaire was used to identify coaches’ demographic characteristics and representations about their preferred sources of coaching knowledge. MANOVA using Tukey’s HSD test was used to compare groups. The results highlighted that coaches perceived that coaching knowledge is built from a broad range of sources from personal coaching and playing experiences to more explicit formal, informal and non-formal learning situations. Results indicated that the coaches ascribed more importance to experiential sources such as working with experts, learning by doing, interacting with peer coaches and attending informal seminars and clinics, than to the formal learning situations provided by the national coaching certification programs. Differences, however, were found in that coaches who had a greater background within higher education (physical) and sport valued informal and non-formal learning sources more than did coaches who were defined as not coming from an academic background. The findings point to the importance of developing new learning, experientially-based, opportunities within the Portuguese context, where curricula content continues to be delivered via didactic means. Key points Coaches recognized that learning is obtained from a broad range of sources of coaching knowledge and each source has a particular role in the development of a coach. Experiential guided sources reached more importance to coaches as working with experts, learning by doing, attending seminars/clinics outside of the formal system and interaction with peers were the most acknowledged. The only source that is related to formal learning, national certification programs, was recognized as the less importance than all informal and non-formal learning situations. The profile of the source of coaching knowledge showed to be stable among coaches as only the academic education level differentiated the coaches’ perceptions. PMID:24149644

Objects and Issues--A Sunday Supplement View of Continuing Professional Development in Higher Education

ERIC Educational Resources Information Center

Pegler, Chris

2005-01-01

This paper draws on the presentation of three online pilot "series" of learning objects aimed at offering university staff convenient updating opportunities around issues connected with e-learning. The "Hot Topics" format presented short themed sets (series) of learning objects to a wide-range of staff, encouraging sampling strategies to support…

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

ERIC Educational Resources Information Center

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

2017-01-01

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…

Teaching and Assessing Ethics as a Learning Objective: One School's Journey

ERIC Educational Resources Information Center

Templin, Carl R.; Christensen, David

2009-01-01

This paper reports the results of a ten-year effort to establish ethics as a learning objective for all business students, to assess the effectiveness in achieving that learning objective and to incorporate ethical conduct as a part of the school's organizational culture. First, it addresses the importance of ethics instruction for all business…

The Open Learning Object Model to Promote Open Educational Resources

ERIC Educational Resources Information Center

Fulantelli, Giovanni; Gentile, Manuel; Taibi, Davide; Allegra, Mario

2008-01-01

In this paper we present the results of research work, that forms part of the activities of the EU-funded project SLOOP: Sharing Learning Objects in an Open Perspective, aimed at encouraging the definition, development and management of Open Educational Resources based on the Learning Object paradigm (Wiley, 2000). We present a model of Open…

Differences in How Monolingual and Bilingual Children Learn Second Labels for Familiar Objects

ERIC Educational Resources Information Center

Rowe, Lindsey; Jacobson, Rebecca; Saylor, Megan M.

2015-01-01

Monolingual children sometimes resist learning second labels for familiar objects. One explanation is that they are guided by word learning constraints that lead to the assumption that objects have only one name. It is less clear whether bilingual children observe this constraint. In the current study, we test the hypothesis that bilingual…