Linking Learning, Teaching, and Development.

ERIC Educational Resources Information Center

Fiddler, Morris; Marienau, Catherine

1995-01-01

Learning-centered teaching links learning and development by creating a climate of exchange; using assessment to increase awareness of learning needs; promoting learning to learn; holding learners accountable; using multiple strategies for different learning styles; and involving learners in realistic and challenging goals. (SK)

Do Acting out Verbs with Dolls and Comparison Learning between Scenes Boost Toddlers' Verb Comprehension?

ERIC Educational Resources Information Center

Schwarz, Amy Louise; Van Kleeck, Anne; Maguire, Mandy J.; Abdi, Herve

2017-01-01

To better understand how toddlers integrate multiple learning strategies to acquire verbs, we compared sensorimotor recruitment and comparison learning because both strategies are thought to boost children's access to scene-level information. For sensorimotor recruitment, we tested having toddlers use dolls as agents and compared this strategy…

Reading and Writing from Multiple Source Documents in History: Effects of Strategy Instruction with Low to Average High School Writers

ERIC Educational Resources Information Center

De La Paz, Susan; Felton, Mark K.

2010-01-01

This study examined the effects of historical reasoning strategy instruction on 11th-grade students. Students learned historical inquiry strategies using 20th Century American history topics ranging from the Spanish-American war to the Gulf of Tonkin incident. In addition, students learned a pre-writing strategy for composing argumentative essays…

EFL Learners' Self-Perceived Strategy Use across Various Intelligence Types: A Case Study

ERIC Educational Resources Information Center

Tahriri, Abdorreza; Divsar, Hoda

2011-01-01

Increasing attention paid to learner-centered pedagogy in recent years has highlighted the examination of intelligence and language learning strategies (LLSs) among others. This study explores EFL learners' perceived use of language learning strategies across various intelligence types as reflected in Gardner's 1983 Multiple Intelligences Theory.…

Accommodations for Multiple Choice Tests

ERIC Educational Resources Information Center

Trammell, Jack

2011-01-01

Students with learning or learning-related disabilities frequently struggle with multiple choice assessments due to difficulty discriminating between items, filtering out distracters, and framing a mental best answer. This Practice Brief suggests accommodations and strategies that disability service providers can utilize in conjunction with…

Learning and adherence to baby massage after two teaching strategies.

PubMed

Cruz, Cláudia Marchetti; Caromano, Fátima Aparecida; Gonçalves, Lia Lopes; Machado, Thais Gaiad; Voos, Mariana Callil

2014-07-01

Little is known about learning/adherence after different baby massage teaching strategies. We compared the learning/adherence after two strategies. Twenty mothers from the group manual-course (GMC) and 20 from the group manual-orientations (GMO) received a booklet. GMC participated in a course during the third trimester. GMO received verbal instructions during the postpartum hospital stay. Multiple-choice and practical tests assessed learning (GMC: performing strokes on a doll; GMO: on the baby). Adherence was measured 3 months after childbirth. No differences were found between the groups in learning/adherence. Both teaching strategies showed similar and positive results. © 2014, Wiley Periodicals, Inc.

Developing Web-Based Assessment Strategies for Facilitating Junior High School Students to Perform Self-Regulated Learning in an E-Learning Environment

ERIC Educational Resources Information Center

Wang, Tzu-Hua

2011-01-01

This research refers to the self-regulated learning strategies proposed by Pintrich (1999) in developing a multiple-choice Web-based assessment system, the Peer-Driven Assessment Module of the Web-based Assessment and Test Analysis system (PDA-WATA). The major purpose of PDA-WATA is to facilitate learner use of self-regulatory learning behaviors…

Creativity of Biology Students in Online Learning: Case Study of Universitas Terbuka, Indonesia

NASA Astrophysics Data System (ADS)

Diki, Diki

This is a study about the effect of students' attitudes of creativity toward their learning achievement and persistence in an online learning program. The study also investigated if there was an effect of indirect effect of attitudes of creativity toward learning achievement and persistence through learning strategies. There are three learning strategies, which are deep-learning, strategic-learning, and surface-learning. The participants were students of the department of biology and the department of biology teacher training in Universitas Terbuka (UT -- Indonesia Open University), a distance learning university in Indonesia. The researcher sent the questionnaire through email to students who lived throughout Indonesia. There were 102 students participated in the survey. The instruments were rCAB test for value and attitudes toward creativity (Runco, 2012) and approaches and Study Skills Inventory for Students (ASSIST) test (Speth, 2013). There were four research questions (RQ) in this study. The first was if there was a relationship between attitudes of creativity and persistence. The researcher used independent samples t test technique for RQ 1. The second was if there is a relationship between attitudes of creativity and learning outcome. The researcher used multiple regressions for RQ2. The third was if there was an indirect relationship between attitudes of creativity and persistence through learning strategy. The fourth question was if there is an indirect relationship between attitudes of creativity and learning outcome through learning strategy. The researcher used multiple regression for RQ3 and path analysis for RQ 4. Controlling variables were age, income, departments, gender, high school GPA, and daily online activities. The result showed that fun, and being unconventional negatively predicted learning outcomes while high school GPA positively predicted learning outcome. Age and high school GPA negatively predicted persistence while being unconventional positively predicted persistence. Two variables of deep-learning strategy predicted learning outcome. There were indirect relationships between attitudes of creativity and learning outcomes through deep-learning strategy.

Using multiple metaphors and multimodalities as a semiotic resource when teaching year 2 students computational strategies

NASA Astrophysics Data System (ADS)

Mildenhall, Paula; Sherriff, Barbara

2017-06-01

Recent research indicates that using multimodal learning experiences can be effective in teaching mathematics. Using a social semiotic lens within a participationist framework, this paper reports on a professional learning collaboration with a primary school teacher designed to explore the use of metaphors and modalities in mathematics instruction. This video case study was conducted in a year 2 classroom over two terms, with the focus on building children's understanding of computational strategies. The findings revealed that the teacher was able to successfully plan both multimodal and multiple metaphor learning experiences that acted as semiotic resources to support the children's understanding of abstract mathematics. The study also led to implications for teaching when using multiple metaphors and multimodalities.

Cognitive culture: theoretical and empirical insights into social learning strategies.

PubMed

Rendell, Luke; Fogarty, Laurel; Hoppitt, William J E; Morgan, Thomas J H; Webster, Mike M; Laland, Kevin N

2011-02-01

Research into social learning (learning from others) has expanded significantly in recent years, not least because of productive interactions between theoretical and empirical approaches. This has been coupled with a new emphasis on learning strategies, which places social learning within a cognitive decision-making framework. Understanding when, how and why individuals learn from others is a significant challenge, but one that is critical to numerous fields in multiple academic disciplines, including the study of social cognition. Copyright © 2010 Elsevier Ltd. All rights reserved.

[Relationships between motivational regulation strategies, motivational factors, and learning behaviors outside the classroom].

PubMed

Umemoto, Takatoyo; Tanaka, Kenshiro

2017-04-01

This study examined the relationships among motivational regulation strategies, motivational factors, and learning behaviors outside the classroom. There are three subtypes of motivational regulation strategies: autonomous regulation strategies, cooperative strategies, and performance-focused strategies. Motivational factors included in the investigation were self-efficacy and task value, while behavioral and emotional engagement and study time were selected as learning behaviors outside the classroom. A self-report questionnaire was administered to 322 undergraduates from two universities. Multiple regression analysis revealed the use of autonomous regulation strategies, and that task value was positively correlated with engagement and study time. Moreover, self-efficacy positively predicted study time. In contrast, the use of performance strategies negatively predicted engagement. The use of cooperative strategies did not predict learning behaviors. These results indicate that motivation, as well as the regulation of motivation, were important for learning outside the classroom. The effects of regulation of motivation and motivation on learning outside the classroom are discussed in light of the current findings.

Effects of a Strategic Intervention with iPad Practice on the Multiplication Fact Performance of Fifth-Grade Students with Learning Disabilities

ERIC Educational Resources Information Center

Ok, Min Wook; Bryant, Diane Pedrotty

2016-01-01

This study investigated the effects of explicit, strategic intervention with iPad application practice on the multiplication fact performance and strategy use of elementary students with learning disabilities (LD) using a single-case, multiple probe design across participants. Four fifth-grade students with LD received 15 1:1 intervention sessions…

Pre-Exposure to Context Affects Learning Strategy Selection in Mice

ERIC Educational Resources Information Center

Tunur, Tumay; Dohanich, Gary P.; Schrader, Laura A.

2010-01-01

The multiple memory systems hypothesis proposes that different types of learning strategies are mediated by distinct neural systems in the brain. Male and female mice were tested on a water plus-maze task that could be solved by either a place or response strategy. One group of mice was pre-exposed to the same context as training and testing (PTC)…

Cultural competence in the master's curriculum--a course exemplar.

PubMed

Cross, Deborah; Brennan, Ann Marie Walsh; Cotter, Valerie T; Watts, Rosalyn J

2008-01-01

This article focuses on the teaching-learning strategies for integration of cultural competence in the first clinical core course in Primary Care of the Middle Aged and Older Adult, a required course for graduate students enrolled in the Adult Health Nurse Practitioner Program, Gerontology Nurse Practitioner Program, and the Family Health Nurse Practitioner Program at the University of Pennsylvania School of Nursing. Multiple teaching-learning strategies for the first clinical course consisted of preliminary online self-assessment, clinical case scenarios, critique of multicultural clinical vignettes, and cultural assessment of the clinical agency. In the outcomes of these teaching-learning strategies, it was shown, through the use of reflective diaries of nurse practitioner students and course evaluations, that the multiple strategic approaches were effective for cultural competence integration within each of the nurse practitioner programs.

A Descriptive Study on the Use of Materials in Vocabulary Lessons

ERIC Educational Resources Information Center

Holmes, Kerry; Holmes, Stacy V.; Watts, Karley

2012-01-01

Vocabulary knowledge is important because it is highly correlated with content area learning. Strategies for vocabulary instruction recommend using new words in multiple contexts as key to learning. To date, the term "multiple contexts" emphasizes written contexts, not three-dimensional concrete material contexts. This article describes the…

Stress Modulates the Use of Spatial versus Stimulus-Response Learning Strategies in Humans

ERIC Educational Resources Information Center

Philippsen, Christine; Richter, Steffen; Bohringer, Andreas; Wippich, Werner; Schachinger, Hartmut; Schwabe, Lars; Oitzl, Melly S.

2007-01-01

Animal studies provided evidence that stress modulates multiple memory systems, favoring caudate nucleus-based "habit" memory over hippocampus-based "cognitive" memory. However, effects of stress on learning strategy and memory consolidation were not differentiated. We specifically address the effects of psychosocial stress on the applied learning…

Evaluating the effect of three teaching strategies on student nurses' moral sensitivity.

PubMed

Lee, Hsiao Lu; Huang, Shu-He; Huang, Chiu-Mieh

2017-09-01

The Taiwan Nursing Accreditation Council has proposed eight core professional nursing qualities including ethical literacy. Consequently, nursing ethics education is a required course for student nurses. These courses are intended to improve the ethical literacy. Moral sensitivity is the cornerstone of ethical literacy, and learning moral sensitivity is the initial step towards developing ethical literacy. To explore the effect of nursing ethics educational interventions based on multiple teaching strategies on student nurses moral sensitivity. Based on the visual, auditory and kinaesthetic model, three strategies were developed for determining the programme components and corresponding learning styles. This was a quasi-experimental study. A total of 234 junior-college student nurses participated in this study. All participants were aged 18-19 years. Ethical considerations: The study protocol was approved by the institutional review boards of Kaohsiung Veterans General Hospital. Only the participants who signed an informed consent form took part in the study. The participants were permitted to withdraw from the study at any point if they wished to do so without affecting their academic score. The scores of Modified Moral Sensitivity Questionnaire for Student Nurses were significantly improved after the intervention of integrating multiple teaching strategies ( p = .042). Significant relationships were observed between the satisfaction scores of two teaching strategies and moral sensitivity. The results indicated that using multiple teaching strategies is effective for promoting nursing ethics learning. This strategy was consistent with the student nurses' preferred learning style and was used to correct their erroneous ethical conceptions, assisting in developing their ethical knowledge.

The neuroscience of learning.

PubMed

Collins, John W

2007-10-01

Significant advances have been made in understanding the neurophysiological basis of learning, including the discovery of mirror neurons and the role of cyclic adenosine monophosphate (cAMP) responsive element binding (CREB) protein in learning. Mirror neurons help us visually compare an observed activity with a remembered action in our memory, an ability that helps us imitate and learn through watching. Long-term potentiation, the Hebb rule, and CREB protein are associated with the formation of long-term memories. Conversely, protein phosphatase 1 and glucocorticoids are neurophysiological phenomena that limit what can be learned and cause forgetfulness. Gardner's theory of multiple intelligences contends that different areas of the brain are responsible for different competencies that we all possess to varying degrees. These multiple intelligences can be used as strategies for improved learning. Repeating material, using mnemonics, and avoiding overwhelming stress are other strategies for improving learning. Imaging studies have shown that practice with resultant learning results in significantly less use of brain areas, indicating that the brain becomes more efficient. Experts have advantages over novices, including increased cognitive processing efficiency. Nurses are in a unique position to use their understanding of neurophysiological principles to implement better educational strategies to provide quality education to patients and others.

Strategies pedagogiques dans les classes a niveaux multiples du nord de l'Ontario--Un compte rendu (Teaching Strategies for Multigraded Classes in Northern Ontario: An Account).

ERIC Educational Resources Information Center

Lataille-Demore, Diane

2003-01-01

A training and teaching tools development project aims to help multigrade classroom teachers in remote areas of Ontario. The project presents multiple instructional strategies, such as collaborative learning, differentiated teaching, and subject integration. Sixty teaching activities, created and tested by teachers, are contained on a CD that will…

Use of Learner-Centered Instructional Strategies in Higher Education: Doctoral Student Assessments

ERIC Educational Resources Information Center

Browne-Ferrigno, Tricia; Muth, Rodney

2012-01-01

Based on multiple sources, this article concludes that, when learner-centered instructional strategies are used with doctoral students, these adult learners take charge of their individual and collective learning, become accountable for both, and enhance their ability to transfer learning to practice. The students studied skills of developed teams…

Correlation Study of Physics Achievement, Learning Strategy, Attitude and Gender in an Introductory Physics Course

ERIC Educational Resources Information Center

Sezgin Selcuk, Gamze

2010-01-01

This study investigates the relationship between multiple predictors of physics achievement including reported use of four learning strategy clusters (elaboration, organization, comprehension monitoring and rehearsal), attitudes towards physics (sense of care and sense of interest) and a demographic variable (gender) in order to determine the…

Microgenetic Patterns of Children's Multiplication Learning: Confirming the Overlapping Waves Model by Latent Growth Modeling

ERIC Educational Resources Information Center

van der Ven, Sanne H. G.; Boom, Jan; Kroesbergen, Evelyn H.; Leseman, Paul P. M.

2012-01-01

Variability in strategy selection is an important characteristic of learning new skills such as mathematical skills. Strategies gradually come and go during this development. In 1996, Siegler described this phenomenon as ''overlapping waves.'' In the current microgenetic study, we attempted to model these overlapping waves statistically. In…

Improving Learning Disabled Students' Composition Skills: A Self-Control Strategy Training Approach.

ERIC Educational Resources Information Center

Harris, Karen R.; Graham, Steve

The study investigated whether a self control strategy training procedure was effective in improving compositions of two 12-year-old learning disabled students. Effects of training on three objective aspects of compositions (number of different action words, action helpers, and describing words) were investigated using a multiple baseline across…

Multiple memory systems as substrates for multiple decision systems

PubMed Central

Doll, Bradley B.; Shohamy, Daphna; Daw, Nathaniel D.

2014-01-01

It has recently become widely appreciated that value-based decision making is supported by multiple computational strategies. In particular, animal and human behavior in learning tasks appears to include habitual responses described by prominent model-free reinforcement learning (RL) theories, but also more deliberative or goal-directed actions that can be characterized by a different class of theories, model-based RL. The latter theories evaluate actions by using a representation of the contingencies of the task (as with a learned map of a spatial maze), called an “internal model.” Given the evidence of behavioral and neural dissociations between these approaches, they are often characterized as dissociable learning systems, though they likely interact and share common mechanisms. In many respects, this division parallels a longstanding dissociation in cognitive neuroscience between multiple memory systems, describing, at the broadest level, separate systems for declarative and procedural learning. Procedural learning has notable parallels with model-free RL: both involve learning of habits and both are known to depend on parts of the striatum. Declarative memory, by contrast, supports memory for single events or episodes and depends on the hippocampus. The hippocampus is thought to support declarative memory by encoding temporal and spatial relations among stimuli and thus is often referred to as a relational memory system. Such relational encoding is likely to play an important role in learning an internal model, the representation that is central to model-based RL. Thus, insofar as the memory systems represent more general-purpose cognitive mechanisms that might subserve performance on many sorts of tasks including decision making, these parallels raise the question whether the multiple decision systems are served by multiple memory systems, such that one dissociation is grounded in the other. Here we investigated the relationship between model-based RL and relational memory by comparing individual differences across behavioral tasks designed to measure either capacity. Human subjects performed two tasks, a learning and generalization task (acquired equivalence) which involves relational encoding and depends on the hippocampus; and a sequential RL task that could be solved by either a model-based or model-free strategy. We assessed the correlation between subjects’ use of flexible, relational memory, as measured by generalization in the acquired equivalence task, and their differential reliance on either RL strategy in the decision task. We observed a significant positive relationship between generalization and model-based, but not model-free, choice strategies. These results are consistent with the hypothesis that model-based RL, like acquired equivalence, relies on a more general-purpose relational memory system. PMID:24846190

Do Sophisticated Epistemic Beliefs Predict Meaningful Learning? Findings from a Structural Equation Model of Undergraduate Biology Learning

ERIC Educational Resources Information Center

Lee, Silvia Wen-Yu; Liang, Jyh-Chong; Tsai, Chin-Chung

2016-01-01

This study investigated the relationships among college students' epistemic beliefs in biology (EBB), conceptions of learning biology (COLB), and strategies of learning biology (SLB). EBB includes four dimensions, namely "multiple-source," "uncertainty," "development," and "justification." COLB is further…

Development of soft scaffolding strategy to improve student’s creative thinking ability in physics

NASA Astrophysics Data System (ADS)

Nurulsari, Novinta; Abdurrahman; Suyatna, Agus

2017-11-01

Student’s creative thinking ability in physics learning can be developed through a learning experience. However, many students fail to gain a learning experience because of the lack of teacher roles in providing assistance to students when they face learning difficulties. In this study, a soft scaffolding strategy developed to improve student’s creative thinking ability in physics, especially in optical instruments. The methods used were qualitative and quantitative. The soft scaffolding strategy developed was called the 6E Soft Scaffolding Strategy where 6E stands for Explore real-life problems, Engage students with web technology, Enable experiment using analogies, Elaborate data through multiple representations, Encourage questioning, and Ensure the feedback. The strategy was applied to 60 students in secondary school through cooperative learning. As a comparison, conventional strategies were also applied to 60 students in the same school and grade. The result of the study showed that the soft scaffolding strategy was effective in improving student’s creative thinking ability.

Students' Learning Strategies with Multiple Representations: Explanations of the Human Breathing Mechanism

ERIC Educational Resources Information Center

Won, Mihye; Yoon, Heojeong; Treagust, David F.

2014-01-01

The purpose of this study was to understand how students utilized multiple representations to learn and explain science concepts, in this case the human breathing mechanism. The study was conducted with Grade 11 students in a human biology class. Semistructured interviews and a two-tier diagnostic test were administered to evaluate students'…

Learning and Study Strategies of Students with Traumatic Brain Injury: A Mixed Method Study

ERIC Educational Resources Information Center

Bush, Erin; Hux, Karen; Zickefoose, Samantha; Simanek, Gina; Holmberg, Michelle; Henderson, Ambyr

2011-01-01

The purpose of this research was to explore the perceptions of four college students with severe traumatic brain injury and people associated with them regarding the use of learning skills and study strategies. The researchers employed a concurrent mixed method design using descriptive quantitative data as well as qualitative multiple case study…

Modeling the language learning strategies and English language proficiency of pre-university students in UMS: A case study

NASA Astrophysics Data System (ADS)

Kiram, J. J.; Sulaiman, J.; Swanto, S.; Din, W. A.

2015-10-01

This study aims to construct a mathematical model of the relationship between a student's Language Learning Strategy usage and English Language proficiency. Fifty-six pre-university students of University Malaysia Sabah participated in this study. A self-report questionnaire called the Strategy Inventory for Language Learning was administered to them to measure their language learning strategy preferences before they sat for the Malaysian University English Test (MUET), the results of which were utilised to measure their English language proficiency. We attempted the model assessment specific to Multiple Linear Regression Analysis subject to variable selection using Stepwise regression. We conducted various assessments to the model obtained, including the Global F-test, Root Mean Square Error and R-squared. The model obtained suggests that not all language learning strategies should be included in the model in an attempt to predict Language Proficiency.

Using Learning Trajectories to Enhance Formative Assessment

ERIC Educational Resources Information Center

Ebby, Caroline B.; Petit, Marjorie

2017-01-01

A learning trajectory describes the progression of student thinking and strategies over time in terms of sophistication of both conceptual understanding and procedural fluency. Currently, learning trajectories exist in the research literature for many mathematical domains, including counting, addition and subtraction, multiplicative thinking,…

The effectiveness of music as a mnemonic device on recognition memory for people with multiple sclerosis.

PubMed

Moore, Kimberly Sena; Peterson, David A; O'Shea, Geoffrey; McIntosh, Gerald C; Thaut, Michael H

2008-01-01

Research shows that people with multiple sclerosis exhibit learning and memory difficulties and that music can be used successfully as a mnemonic device to aid in learning and memory. However, there is currently no research investigating the effectiveness of music mnemonics as a compensatory learning strategy for people with multiple sclerosis. Participants with clinically definitive multiple sclerosis (N = 38) were given a verbal learning and memory test. Results from a recognition memory task were analyzed that compared learning through music (n = 20) versus learning through speech (n = 18). Preliminary baseline neuropsychological data were collected that measured executive functioning skills, learning and memory abilities, sustained attention, and level of disability. An independent samples t test showed no significant difference between groups on baseline neuropsychological functioning or on recognition task measures. Correlation analyses suggest that music mnemonics may facilitate learning for people who are less impaired by the disease. Implications for future research are discussed.

Multiple Problem-Solving Strategies Provide Insight into Students' Understanding of Open-Ended Linear Programming Problems

ERIC Educational Resources Information Center

Sole, Marla A.

2016-01-01

Open-ended questions that can be solved using different strategies help students learn and integrate content, and provide teachers with greater insights into students' unique capabilities and levels of understanding. This article provides a problem that was modified to allow for multiple approaches. Students tended to employ high-powered, complex,…

Multiple Pathways to Learning: An Examination of Universal Design and Online Strategic Learning in Higher Education

ERIC Educational Resources Information Center

Hicks, Maryruth Wilks

2010-01-01

The purpose of this study was to examine the effectiveness of universally designed (UD) instruction on strategic learning in an online, interactive learning environment (ILE). The research focused on the premise that the customizable, media-based framework of UD instruction might influence diverse online learning strategies. This study…

The Role of Acquired Shared Mental Models in Improving the Process of Team-Based Learning

ERIC Educational Resources Information Center

Johnson, Tristan E.; Khalil, Mohammed K.; Spector, J. Michael, Ed.

2008-01-01

Working in teams is an important aspect of learning in various educational settings. Although education has embraced instructional strategies that use multiple learners to facilitate learning, the benefits of team-based learning need to be substantiated. There are limited efforts to evaluate the efficacy of learning processes associated with…

Learning Disabilities: A Multifaceted Health Threat

ERIC Educational Resources Information Center

Williams, J. Floyd

1976-01-01

Learning disabilities are a health threat because they prevent a state of complete physical, mental, and social well-being, and they should be treated with a variety of remedial strategies reflecting their multiple causes. (MB)

Do sophisticated epistemic beliefs predict meaningful learning? Findings from a structural equation model of undergraduate biology learning

NASA Astrophysics Data System (ADS)

Lee, Silvia Wen-Yu; Liang, Jyh-Chong; Tsai, Chin-Chung

2016-10-01

This study investigated the relationships among college students' epistemic beliefs in biology (EBB), conceptions of learning biology (COLB), and strategies of learning biology (SLB). EBB includes four dimensions, namely 'multiple-source,' 'uncertainty,' 'development,' and 'justification.' COLB is further divided into 'constructivist' and 'reproductive' conceptions, while SLB represents deep strategies and surface learning strategies. Questionnaire responses were gathered from 303 college students. The results of the confirmatory factor analysis and structural equation modelling showed acceptable model fits. Mediation testing further revealed two paths with complete mediation. In sum, students' epistemic beliefs of 'uncertainty' and 'justification' in biology were statistically significant in explaining the constructivist and reproductive COLB, respectively; and 'uncertainty' was statistically significant in explaining the deep SLB as well. The results of mediation testing further revealed that 'uncertainty' predicted surface strategies through the mediation of 'reproductive' conceptions; and the relationship between 'justification' and deep strategies was mediated by 'constructivist' COLB. This study provides evidence for the essential roles some epistemic beliefs play in predicting students' learning.

Are Higher Education Institutions Prepared for Learning Analytics?

ERIC Educational Resources Information Center

Ifenthaler, Dirk

2017-01-01

Higher education institutions and involved stakeholders can derive multiple benefits from learning analytics by using different data analytics strategies to produce summative, real-time, and predictive insights and recommendations. However, are institutions and academic as well as administrative staff prepared for learning analytics? A learning…

The curse of planning: dissecting multiple reinforcement-learning systems by taxing the central executive.

PubMed

Otto, A Ross; Gershman, Samuel J; Markman, Arthur B; Daw, Nathaniel D

2013-05-01

A number of accounts of human and animal behavior posit the operation of parallel and competing valuation systems in the control of choice behavior. In these accounts, a flexible but computationally expensive model-based reinforcement-learning system has been contrasted with a less flexible but more efficient model-free reinforcement-learning system. The factors governing which system controls behavior-and under what circumstances-are still unclear. Following the hypothesis that model-based reinforcement learning requires cognitive resources, we demonstrated that having human decision makers perform a demanding secondary task engenders increased reliance on a model-free reinforcement-learning strategy. Further, we showed that, across trials, people negotiate the trade-off between the two systems dynamically as a function of concurrent executive-function demands, and people's choice latencies reflect the computational expenses of the strategy they employ. These results demonstrate that competition between multiple learning systems can be controlled on a trial-by-trial basis by modulating the availability of cognitive resources.

The Curse of Planning: Dissecting multiple reinforcement learning systems by taxing the central executive

PubMed Central

Otto, A. Ross; Gershman, Samuel J.; Markman, Arthur B.; Daw, Nathaniel D.

2013-01-01

A number of accounts of human and animal behavior posit the operation of parallel and competing valuation systems in the control of choice behavior. Along these lines, a flexible but computationally expensive model-based reinforcement learning system has been contrasted with a less flexible but more efficient model-free reinforcement learning system. The factors governing which system controls behavior—and under what circumstances—are still unclear. Based on the hypothesis that model-based reinforcement learning requires cognitive resources, we demonstrate that having human decision-makers perform a demanding secondary task engenders increased reliance on a model-free reinforcement learning strategy. Further, we show that across trials, people negotiate this tradeoff dynamically as a function of concurrent executive function demands and their choice latencies reflect the computational expenses of the strategy employed. These results demonstrate that competition between multiple learning systems can be controlled on a trial-by-trial basis by modulating the availability of cognitive resources. PMID:23558545

Teaching and evaluating point of care learning with an Internet-based clinical-question portfolio.

PubMed

Green, Michael L; Reddy, Siddharta G; Holmboe, Eric

2009-01-01

Diplomates in the American Board of Internal Medicine (ABIM) Maintenance of Certification (MOC) program satisfy the self-evaluation of medical knowledge requirement by completing open-book multiple-choice exams. However, this method remains unlikely to affect practice change and often covers content areas not relevant to diplomates' practices. We developed and evaluated an Internet-based point of care (POC) learning portfolio to serve as an alternative. Participants enter information about their clinical questions, including characteristics, information pursuit, application, and practice change. After documenting 20 questions, they reflect upon a summary report and write commitment-to-change statements about their learning strategies. They can link to help screens and medical information resources. We report on the beta test evaluation of the module, completed by 23 internists and 4 internal medicine residents. Participants found the instructions clear and navigated the module without difficulty. The majority preferred the POC portfolio to multiple-choice examinations, citing greater relevance to their practice, guidance in expanding their palette of information resources, opportunity to reflect on their learning needs, and "credit" for self-directed learning related to their patients. Participants entered a total of 543 clinical questions, of which 250 (46%) resulted in a planned practice change. After completing the module, 14 of 27 (52%) participants committed to at least 1 change in their POC learning strategies. Internists found the portfolio valuable, preferred it to multiple-choice examinations, often changed their practice after pursuing clinical questions, and productively reflected on their learning strategies. The ABIM will offer this portfolio as an elective option in MOC.

Unpacking the Roles of the Facilitator in Higher Education Professional Learning Communities

ERIC Educational Resources Information Center

Margalef, Leonor; Pareja Roblin, Natalie

2016-01-01

Facilitators are central for the success of professional learning communities (PLCs). Yet, their specific roles in supporting teacher learning remain still largely underexplored. To address this gap, the current multiple case study examines the roles of 4 university PLC facilitators, the strategies they used to support teacher learning, and the…

Developing a Problem-Based Learning Simulation: An Economics Unit on Trade

ERIC Educational Resources Information Center

Maxwell, Nan L.; Mergendoller, John R.; Bellisimo, Yolanda

2004-01-01

This article argues that the merger of simulations and problem-based learning (PBL) can enhance both active-learning strategies. Simulations benefit by using a PBL framework to promote student-directed learning and problem-solving skills to explain a simulated dilemma with multiple solutions. PBL benefits because simulations structure the…

Training Strategies for the Twenty-First Century: Using Recent Research on Learning To Enhance Training.

ERIC Educational Resources Information Center

Dwyer, Brian M.

2002-01-01

Discusses a new training model that takes into account the diversity of learners and the emotional, physical and social environmental conditions essential for lifelong learning. Considers how the brain learns and functions, brain-based learning, multiple intelligence, and emotional intelligence as well as personal reflection. (LRW)

Metacognitive Control and Strategy Selection: Deciding to Practice Retrieval during Learning

ERIC Educational Resources Information Center

Karpicke, Jeffrey D.

2009-01-01

Retrieval practice is a potent technique for enhancing learning, but how often do students practice retrieval when they regulate their own learning? In 4 experiments the subjects learned foreign-language items across multiple study and test periods. When items were assigned to be repeatedly tested, repeatedly studied, or removed after they were…

The Effects of the Concrete-Representational-Abstract Integration Strategy on the Ability of Students with Learning Disabilities to Multiply Linear Expressions within Area Problems

ERIC Educational Resources Information Center

Strickland, Tricia K.; Maccini, Paula

2013-01-01

We examined the effects of the Concrete-Representational-Abstract Integration strategy on the ability of secondary students with learning disabilities to multiply linear algebraic expressions embedded within contextualized area problems. A multiple-probe design across three participants was used. Results indicated that the integration of the…

Connecting Effective Instruction and Technology. Intel-elebration: Safari.

ERIC Educational Resources Information Center

Burton, Larry D.; Prest, Sharon

Intel-ebration is an attempt to integrate the following research-based instructional frameworks and strategies: (1) dimensions of learning; (2) multiple intelligences; (3) thematic instruction; (4) cooperative learning; (5) project-based learning; and (6) instructional technology. This paper presents a thematic unit on safari, using the…

Social Learning Strategies: Bridge-Building between Fields.

PubMed

Kendal, Rachel L; Boogert, Neeltje J; Rendell, Luke; Laland, Kevin N; Webster, Mike; Jones, Patricia L

2018-07-01

While social learning is widespread, indiscriminate copying of others is rarely beneficial. Theory suggests that individuals should be selective in what, when, and whom they copy, by following 'social learning strategies' (SLSs). The SLS concept has stimulated extensive experimental work, integrated theory, and empirical findings, and created impetus to the social learning and cultural evolution fields. However, the SLS concept needs updating to accommodate recent findings that individuals switch between strategies flexibly, that multiple strategies are deployed simultaneously, and that there is no one-to-one correspondence between psychological heuristics deployed and resulting population-level patterns. The field would also benefit from the simultaneous study of mechanism and function. SLSs provide a useful vehicle for bridge-building between cognitive psychology, neuroscience, and evolutionary biology. Copyright © 2018. Published by Elsevier Ltd.

Intelligent power management in a vehicular system with multiple power sources

NASA Astrophysics Data System (ADS)

Murphey, Yi L.; Chen, ZhiHang; Kiliaris, Leonidas; Masrur, M. Abul

This paper presents an optimal online power management strategy applied to a vehicular power system that contains multiple power sources and deals with largely fluctuated load requests. The optimal online power management strategy is developed using machine learning and fuzzy logic. A machine learning algorithm has been developed to learn the knowledge about minimizing power loss in a Multiple Power Sources and Loads (M_PS&LD) system. The algorithm exploits the fact that different power sources used to deliver a load request have different power losses under different vehicle states. The machine learning algorithm is developed to train an intelligent power controller, an online fuzzy power controller, FPC_MPS, that has the capability of finding combinations of power sources that minimize power losses while satisfying a given set of system and component constraints during a drive cycle. The FPC_MPS was implemented in two simulated systems, a power system of four power sources, and a vehicle system of three power sources. Experimental results show that the proposed machine learning approach combined with fuzzy control is a promising technology for intelligent vehicle power management in a M_PS&LD power system.

Biotechnology Education: A Multiple Instructional Strategies Approach.

ERIC Educational Resources Information Center

Dunham, Trey; Wells, John; White, Karissa

2002-01-01

Provides a rationale for inclusion of biotechnology in technology education. Describes an instructional strategy that uses behaviorist, cognitive, and constructivist learning theories in two activities involving photobioreactors and bovine somatotropin (growth hormone). (Contains 39 references.) (SK)

Choline acetyltransferase in the hippocampus is associated with learning strategy preference in adult male rats.

PubMed

Hawley, Wayne R; Witty, Christine F; Daniel, Jill M; Dohanich, Gary P

2015-08-01

One principle of the multiple memory systems hypothesis posits that the hippocampus-based and striatum-based memory systems compete for control over learning. Consistent with this notion, previous research indicates that the cholinergic system of the hippocampus plays a role in modulating the preference for a hippocampus-based place learning strategy over a striatum-based stimulus--response learning strategy. Interestingly, in the hippocampus, greater activity and higher protein levels of choline acetyltransferase (ChAT), the enzyme that synthesizes acetylcholine, are associated with better performance on hippocampus-based learning and memory tasks. With this in mind, the primary aim of the current study was to determine if higher levels of ChAT and the high-affinity choline uptake transporter (CHT) in the hippocampus were associated with a preference for a hippocampus-based place learning strategy on a task that also could be solved by relying on a striatum-based stimulus--response learning strategy. Results confirmed that levels of ChAT in the dorsal region of the hippocampus were associated with a preference for a place learning strategy on a water maze task that could also be solved by adopting a stimulus-response learning strategy. Consistent with previous studies, the current results support the hypothesis that the cholinergic system of the hippocampus plays a role in balancing competition between memory systems that modulate learning strategy preference. Copyright © 2015 Elsevier B.V. All rights reserved.

Examining the Effect of Multiple Writing Tasks on Year 10 Biology Students' Understandings of Cell and Molecular Biology Concepts

ERIC Educational Resources Information Center

Hand, Brian; Hohenshell, Liesl; Prain, Vaughan

2007-01-01

This paper reports on a study that examined the cumulative effects on students' learning of science, and perceptions of the role of writing in learning, when the students engaged in multiple writing tasks with planning strategy support. The study was conducted with Year 10 biology students who completed two consecutive units on Cells and Molecular…

Supporting Scientific Experimentation and Reasoning in Young Elementary School Students

ERIC Educational Resources Information Center

Varma, Keisha

2014-01-01

Researchers from multiple perspectives have shown that young students can engage in the scientific reasoning involved in science experimentation. However, there is little research on how well these young students learn in inquiry-based learning environments that focus on using scientific experimentation strategies to learn new scientific…

Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models

ERIC Educational Resources Information Center

Sabourin, Jennifer L.; Mott, Bradford W.; Lester, James C.

2012-01-01

Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing interest. Unfortunately, monitoring these behaviors in real-time has proven…

Sparsity-aware tight frame learning with adaptive subspace recognition for multiple fault diagnosis

NASA Astrophysics Data System (ADS)

Zhang, Han; Chen, Xuefeng; Du, Zhaohui; Yang, Boyuan

2017-09-01

It is a challenging problem to design excellent dictionaries to sparsely represent diverse fault information and simultaneously discriminate different fault sources. Therefore, this paper describes and analyzes a novel multiple feature recognition framework which incorporates the tight frame learning technique with an adaptive subspace recognition strategy. The proposed framework consists of four stages. Firstly, by introducing the tight frame constraint into the popular dictionary learning model, the proposed tight frame learning model could be formulated as a nonconvex optimization problem which can be solved by alternatively implementing hard thresholding operation and singular value decomposition. Secondly, the noises are effectively eliminated through transform sparse coding techniques. Thirdly, the denoised signal is decoupled into discriminative feature subspaces by each tight frame filter. Finally, in guidance of elaborately designed fault related sensitive indexes, latent fault feature subspaces can be adaptively recognized and multiple faults are diagnosed simultaneously. Extensive numerical experiments are sequently implemented to investigate the sparsifying capability of the learned tight frame as well as its comprehensive denoising performance. Most importantly, the feasibility and superiority of the proposed framework is verified through performing multiple fault diagnosis of motor bearings. Compared with the state-of-the-art fault detection techniques, some important advantages have been observed: firstly, the proposed framework incorporates the physical prior with the data-driven strategy and naturally multiple fault feature with similar oscillation morphology can be adaptively decoupled. Secondly, the tight frame dictionary directly learned from the noisy observation can significantly promote the sparsity of fault features compared to analytical tight frames. Thirdly, a satisfactory complete signal space description property is guaranteed and thus weak feature leakage problem is avoided compared to typical learning methods.

Team-Based Learning in a Statistical Literacy Class

ERIC Educational Resources Information Center

St. Clair, Katherine; Chihara, Laura

2012-01-01

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

Assessment of the Autonomous Learning Competence in Engineering Degree Courses at the Universitat Politècnica De Catalunya

ERIC Educational Resources Information Center

Olmedo-Torre, Noelia; Farrerons Vidal, Oscar

2017-01-01

We present a strategy for the acquisition and assessment of autonomous learning conducted as part of the Graphic Expression in Engineering (GE) degree course during the first quarter at the Escola Universitària d'Enginyeria Tècnica Industrial de Barcelona (EUETIB). The strategy employed is the puzzle technique in the classroom and multiple-choice…

Supporting inquiry learning by promoting normative understanding of multivariable causality

NASA Astrophysics Data System (ADS)

Keselman, Alla

2003-11-01

Early adolescents may lack the cognitive and metacognitive skills necessary for effective inquiry learning. In particular, they are likely to have a nonnormative mental model of multivariable causality in which effects of individual variables are neither additive nor consistent. Described here is a software-based intervention designed to facilitate students' metalevel and performance-level inquiry skills by enhancing their understanding of multivariable causality. Relative to an exploration-only group, sixth graders who practiced predicting an outcome (earthquake risk) based on multiple factors demonstrated increased attention to evidence, improved metalevel appreciation of effective strategies, and a trend toward consistent use of a controlled comparison strategy. Sixth graders who also received explicit instruction in making predictions based on multiple factors showed additional improvement in their ability to compare multiple instances as a basis for inferences and constructed the most accurate knowledge of the system. Gains were maintained in transfer tasks. The cognitive skills and metalevel understanding examined here are essential to inquiry learning.

It pays to compare: an experimental study on computational estimation.

PubMed

Star, Jon R; Rittle-Johnson, Bethany

2009-04-01

Comparing and contrasting examples is a core cognitive process that supports learning in children and adults across a variety of topics. In this experimental study, we evaluated the benefits of supporting comparison in a classroom context for children learning about computational estimation. Fifth- and sixth-grade students (N=157) learned about estimation either by comparing alternative solution strategies or by reflecting on the strategies one at a time. At posttest and retention test, students who compared were more flexible problem solvers on a variety of measures. Comparison also supported greater conceptual knowledge, but only for students who already knew some estimation strategies. These findings indicate that comparison is an effective learning and instructional practice in a domain with multiple acceptable answers.

Cloud E-Learning Service Strategies for Improving E-Learning Innovation Performance in a Fuzzy Environment by Using a New Hybrid Fuzzy Multiple Attribute Decision-Making Model

ERIC Educational Resources Information Center

Su, Chiu Hung; Tzeng, Gwo-Hshiung; Hu, Shu-Kung

2016-01-01

The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the…

The Benefit of Self-Testing and Interleaving for Synthesizing Concepts across Multiple Physiology Texts

ERIC Educational Resources Information Center

Linderholm, Tracy; Dobson, John; Yarbrough, Mary Beth

2016-01-01

A testing-based learning strategy is one that relies on the act of recalling (i.e., testing) information after exposure, and interleaving is a strategy in which the learning materials are presented in a serial order (e.g., "texts 1, 2, 3, 1, 2, 3, 1, 2, 3") versus a blocked order (e.g., "texts 1, 1, 1, 2, 2, 2, 3, 3, 3").…

Integrated Curricular Approaches in Reaching Adult Students

ERIC Educational Resources Information Center

Emerick-Brown, Dylan

2013-01-01

In the field of adult basic education, there are two strategies that have been found to be of particular value to student learning: multiple intelligences and purpose-based learning. However, putting these learning theories into practice is not always as easy as an educator might at first believe. Adult basic education teacher Dylan Emerick-Brown…

Transitions in Learning: Evidence for Simultaneously Activated Strategies.

ERIC Educational Resources Information Center

Goldin-Meadow, Susan; And Others

Children rarely cite more than one strategy when asked to explain how they solved a particular arithmetic problem, hence their verbal explanations will not necessarily reveal whether they have considered multiple strategies on that problem. However, previous work has shown that, when asked to explain their performance on a task, children often use…

An efficient dictionary learning algorithm and its application to 3-D medical image denoising.

PubMed

Li, Shutao; Fang, Leyuan; Yin, Haitao

2012-02-01

In this paper, we propose an efficient dictionary learning algorithm for sparse representation of given data and suggest a way to apply this algorithm to 3-D medical image denoising. Our learning approach is composed of two main parts: sparse coding and dictionary updating. On the sparse coding stage, an efficient algorithm named multiple clusters pursuit (MCP) is proposed. The MCP first applies a dictionary structuring strategy to cluster the atoms with high coherence together, and then employs a multiple-selection strategy to select several competitive atoms at each iteration. These two strategies can greatly reduce the computation complexity of the MCP and assist it to obtain better sparse solution. On the dictionary updating stage, the alternating optimization that efficiently approximates the singular value decomposition is introduced. Furthermore, in the 3-D medical image denoising application, a joint 3-D operation is proposed for taking the learning capabilities of the presented algorithm to simultaneously capture the correlations within each slice and correlations across the nearby slices, thereby obtaining better denoising results. The experiments on both synthetically generated data and real 3-D medical images demonstrate that the proposed approach has superior performance compared to some well-known methods. © 2011 IEEE

Information Literacy in the 21st Century: Usefulness and Ease of Learning

ERIC Educational Resources Information Center

Fidalgo, Patricia; Thormann, Joan

2017-01-01

This study of teachers in training in UAE addresses Information Literacy skills including ease of learning, usefulness and instructional preferences. Most teachers in training found that IL skills are both useful and ease to learn. Multiple instructional strategies were preferred by the teachers in training. The study also shows that although most…

Neomillennial User Experience Design Strategies: Utilizing Social Networking Media to Support "Always On" Learning Styles

ERIC Educational Resources Information Center

Baird, Derek E.; Fisher, Mercedes

2006-01-01

Raised in the "always on" world of interactive media, the Internet, and digital messaging technologies, today's student has different expectations and learning styles than previous generations. This net-centric generation values their ability to use the Web to create a self-paced, customized, on-demand learning path that includes multiple forms of…

Using the NCHEC Areas of Responsibility to Assess Service Learning Outcomes in Undergraduate Health Education Students

ERIC Educational Resources Information Center

Champagne, Nicole

2006-01-01

This study used the areas of responsibility developed by the National Commission for Health Education Credentialing (NCHEC) as a framework for the assessment of Service Learning experiences of undergraduate health education students. In the present study, six Service Learning projects involving 12 students were evaluated using multiple strategies,…

Staff and students' perceptions and experiences of teaching and assessment in Clinical Skills Laboratories: interview findings from a multiple case study.

PubMed

Houghton, Catherine E; Casey, Dympna; Shaw, David; Murphy, Kathy

2012-08-01

The Clinical Skills Laboratory has become an essential structure in nurse education and several benefits of its use have been identified. However, the literature identifies the need to examine the transferability of skills learned there into the reality of practice. This research explored the role of the Clinical Skills Laboratory in preparing nursing students for the real world of practice. This paper focuses specifically on the perceptions of the teaching and assessment strategies employed there. Qualitative multiple case study design. Five case study sites. Interviewees (n=58) included academic staff, clinical staff and nursing students. Semi-structured interviews. The Clinical Skills Laboratory can provide a pathway to practice and its authenticity is significant. Teaching strategies need to incorporate communication as well as psychomotor skills. Including audio-visual recording into assessment strategies is beneficial. Effective relationships between education institutions and clinical settings are needed to enhance the transferability of the skills learned. The Clinical Skills Laboratory should provide an authentic learning environment, with the appropriate use of teaching strategies. It is crucial that effective links between educators and clinical staff are established and maintained. Copyright © 2011 Elsevier Ltd. All rights reserved.

The benefit of self-testing and interleaving for synthesizing concepts across multiple physiology texts.

PubMed

Linderholm, Tracy; Dobson, John; Yarbrough, Mary Beth

2016-09-01

A testing-based learning strategy is one that relies on the act of recalling (i.e., testing) information after exposure, and interleaving is a strategy in which the learning materials are presented in a serial order (e.g., texts 1, 2, 3, 1, 2, 3, 1, 2, 3) versus a blocked order (e.g., texts 1, 1, 1, 2, 2, 2, 3, 3, 3). Although both learning strategies have been thoroughly investigated, few studies have examined their additive effect with higher-order cognitive tasks such as the ability to identify themes across multiple texts, and none of those did so using physiology information. The purpose of the present study was to compare recall and thematic processing across five different physiology texts. Participants were randomly assigned to learn the texts using one of the following four learning strategies: 1) study-study-study (S-S-S) using a blocked order, 2) S-S-S using an interleaved order, 3) study-test-study (S-T-S) using a blocked order, and 4) S-T-S using an interleaved order. Over the course of the following week, the S-T-S groups had more stable recall of key text ideas compared with the S-S-S groups, and the S-T-S group had more stable recall of thematic information than the S-S-S group when interleaving was used as the presentation order. Copyright © 2016 The American Physiological Society.

Connections Between Future Time Perspectives and Self-Regulated Learning for Mid-Year Engineering Students: A Multiple Case Study

NASA Astrophysics Data System (ADS)

Chasmar, Justine

This dissertation presents multiple studies with the purpose of understanding the connections between undergraduate engineering students' motivations, specifically students' Future Time Perspectives (FTPs) and Self-Regulated Learning (SRL). FTP refers to the views students hold about the future and how their perceptions of current tasks are affected by these views. SRL connects the behaviors, metacognition, and motivation of students in their learning. The goals of this research project were to 1) qualitatively describe and document engineering students' SRL strategies, 2) examine interactions between engineering students' FTPs and SRL strategy use, and 3) explore goal-setting as a bridge between FTP and SRL. In an exploratory qualitative study with mid-year industrial engineering students to examine the SRL strategies used before and after an SRL intervention, results showed that students intended to use more SRL strategies than they attempted. However, students self-reported using new SRL strategies from the intervention. Students in this population also completed a survey and a single interview about FTP and SRL. Results showed perceptions of instrumentality of coursework and skills as motivation for using SRL strategies, and a varied use of SRL strategies for students with different FTPs. Overall, three types of student FTP were seen: students with a single realistic view of the future, conflicting ideal and realistic future views, or open views of the future. A sequential explanatory mixed methods study was conducted with mid-year students from multiple engineering majors. First a cluster analysis of survey results of FTP items compared to FTP interview responses was used for participant selection. Then a multiple case study was conducted with data collected through surveys, journal entries, course performance, and two interviews. Results showed that students with a well-defined FTP self-regulated in the present based on their varied perceptions of instrumentality for their present tasks and evaluated and adapted their SRL strategies based on grades. Students with conflicting perceptions of the future used a high level of SRL in courses related to both conflicting future paths or related to their short-term goals. Students with open views had high SRL in most of their courses due to a high perception of instrumentality for their present courses. Implications for practice include use of a context-based SRL intervention to teach effective learning strategies, a shift of key general education courses to earlier in the engineering curriculum, and utilization of career-focused problems to support student FTP development and stress the importance of course content in future engineering careers.

Improving ECG Competence in Medical Trainees in a UK District General Hospital

PubMed Central

McAloon, Christopher; Leach, Helen; Gill, Simrat; Aluwalia, Arun; Trevelyan, Jasper

2014-01-01

Background Competency in electrocardiogram (ECG) interpretation is central to undergraduate and postgraduate clinical training. Studies have demonstrated ECGs are interpreted sub-optimally. Our study compares the effectiveness of two learning strategies to improve competence and confidence. Method A 1-month prospective randomized study compared the strategies in two cohorts: undergraduate third year medical students and postgraduate foundation year one (FY1) doctors. Both had blinded randomization to one of these learning strategies: focused teaching program (FTP) and self-directed learning (SDL). All volunteers completed a confidence questionnaire before and after allocation learning strategy and an ECG recognition multiple choice question (MCQ) paper at the end of the learning period. Results The FTP group of undergraduates demonstrated a significant difference in successfully interpreting “ventricular tachycardia” (P = 0.046) and “narrow complex tachycardia” (P = 0.009) than the SDL group. Participant confidence increased in both learning strategies. FTP confidence demonstrated a greater improvement than SDL for both cohorts. Conclusion A dedicated teaching program can improve trainee confidence and competence in ECG interpretation. A larger benefit is observed in undergraduates and those undertaking a FTP. PMID:28392875

Effects of Learning Strategy Training on the Writing Performance of College Students with Asperger's Syndrome.

PubMed

Jackson, Lynn G; Duffy, Mary Lou; Brady, Michael P; McCormick, Jazarae

2018-03-01

Individuals with autism spectrum disorders (ASD) are increasingly entering institutions of higher education. However, many are not prepared for the academic and social demands of postsecondary environments. Although studies have evaluated academic and social interventions for children and adolescents with ASD, little research exists on the college population. The current study utilized a multiple baseline across participants design to evaluate the effectiveness of a writing learning strategy on the writing performance of three college students with ASD. Results indicated that the quality of writing performance improved following strategy instruction. In addition, participants were able to generalize strategy use to content specific writing tasks.

Symbiosis-Based Alternative Learning Multi-Swarm Particle Swarm Optimization.

PubMed

Niu, Ben; Huang, Huali; Tan, Lijing; Duan, Qiqi

2017-01-01

Inspired by the ideas from the mutual cooperation of symbiosis in natural ecosystem, this paper proposes a new variant of PSO, named Symbiosis-based Alternative Learning Multi-swarm Particle Swarm Optimization (SALMPSO). A learning probability to select one exemplar out of the center positions, the local best position, and the historical best position including the experience of internal and external multiple swarms, is used to keep the diversity of the population. Two different levels of social interaction within and between multiple swarms are proposed. In the search process, particles not only exchange social experience with others that are from their own sub-swarms, but also are influenced by the experience of particles from other fellow sub-swarms. According to the different exemplars and learning strategy, this model is instantiated as four variants of SALMPSO and a set of 15 test functions are conducted to compare with some variants of PSO including 10, 30 and 50 dimensions, respectively. Experimental results demonstrate that the alternative learning strategy in each SALMPSO version can exhibit better performance in terms of the convergence speed and optimal values on most multimodal functions in our simulation.

Teaching strategies in the learning of highest common factor and lowest common multiple

NASA Astrophysics Data System (ADS)

Halim, N. L. A.; Li, H.-C.; Shahrill, M.; Prahmana, R. C. I.

2017-12-01

The main purpose of this study is to improve students’ understanding of Highest Common Factor (HCF) and Lowest Common Multiple (LCM). Several alternative teaching strategies were integrated in the Year 7 lessons involving 20 students from one secondary school in Brunei Darussalam. The categories identified in the teaching strategy were the application of group work, embedding real-life problems, using presentations and the traditional drilling practice method. An open-ended survey was disseminated to collate the students’ feedback, and among the questions posed was in relation to the different types of lesson activities utilised within each of the teaching strategies. Although 55% of the students preferred the traditional drilling practice on the calculation of HCF and LCM, mainly due to the ease of the task as opposed to activities involving real-life problems, the findings also indicated that most students favour sharing their ideas in a healthy competition learning style between each other or between the groups.

Not Just Fun, But Serious Strategies: Using Meta-Cognitive Strategies in Game-Based Learning

ERIC Educational Resources Information Center

Kim, Bokyeong; Park, Hyungsung; Baek, Youngkyun

2009-01-01

The purpose of this study is to explore the effects of the meta-cognitive strategies on the academic and gaming achievements. Exploring the effects of those achievements on the social problem solving of students is also of interest. For this purpose, the MMORPG [Massively Multiple Online Role Playing Game] "Gersang" was used. The…

Model Drawing Strategy for Fraction Word Problem Solving of Fourth-Grade Students with Learning Disabilities

ERIC Educational Resources Information Center

Sharp, Emily; Shih Dennis, Minyi

2017-01-01

This study used a multiple probe across participants design to examine the effects of a model drawing strategy (MDS) intervention package on fraction comparing and ordering word problem-solving performance of three Grade 4 students. MDS is a form of cognitive strategy instruction for teaching word problem solving that includes explicit instruction…

Integrating Multiple Teaching Methods into a General Chemistry Classroom

NASA Astrophysics Data System (ADS)

Francisco, Joseph S.; Nicoll, Gayle; Trautmann, Marcella

1998-02-01

In addition to the traditional lecture format, three other teaching strategies (class discussions, concept maps, and cooperative learning) were incorporated into a freshman level general chemistry course. Student perceptions of their involvement in each of the teaching methods, as well as their perceptions of the utility of each method were used to assess the effectiveness of the integration of the teaching strategies as received by the students. Results suggest that each strategy serves a unique purpose for the students and increased student involvement in the course. These results indicate that the multiple teaching strategies were well received by the students and that all teaching strategies are necessary for students to get the most out of the course.

Multiple Learning Strategies Project. Final Report.

ERIC Educational Resources Information Center

Danford, Jan

This project researched and defined learning profiles for educable mentally impaired, visually impaired, low-reading, and regular vocational students based on the communication skills, attitudes toward self and others, knowledge level, and the cultural and social factors for each group. Through analysis of these profiles, and a consideration of…

Coping strategies and learned helplessness of employed and nonemployed educated married women from India.

PubMed

Li, Manyu; Mardhekar, Vaishali; Wadkar, Alka

2012-01-01

In the present study, we compare three types of coping strategies (cognitive, physical, and social coping) and learned helplessness between married women who are either employed or nonemployed in Pune, India. A total of 100 employed women and 100 nonemployed women were surveyed. Employed women were found to have significantly higher cognitive, physical, and social coping, as well as lower learned helplessness than nonemployed women. Multiple roles of employed women and sense of control theories were used to explain the differences. We have found significant implications for the development of intervention programs for empowering women.

The effects of field dependent/independent style awareness on learning strategies and outcomes in an instructional hypermedia module

NASA Astrophysics Data System (ADS)

Fyle, Clifford Omodele

The purpose of this study was to examine whether field-dependent/independent style awareness affects learning outcomes and learning strategies used in a hypermedia instructional module. Field-dependent/independent style was measured using the Global Embedded Figures Test. Style awareness meant that students were provided with information and explanations about their individual cognitive styles and the learning strategies that accommodate those styles. The study entailed examining students' achievement in a multiple-choice test and performance in a design task, and also their navigation patterns as they studied a science-oriented Webquest. The sample consisted of 149 eighth-grade students in 10 sections of a science class taught by two teachers in a public middle school. A two-group posttest-only design on one factor (style awareness) was used. Sixty-eight students in five sections of the class were assigned to the treatment group (field dependent/independent style awareness) while the other 81 students in five sections were assigned to the control group (no field dependent/independent style awareness). The study took place over a period of 6 days. On the first day, students in the treatment group were first tested and debriefed on their individual styles. Next, all students in both the treatment and control groups studied the hypermedia instructional module (Webquest) over a period of two days. On the fourth and fifth days students worked on the performance tasks, and on the sixth day students took the multiple-choice test and students in the control group were tested and debriefed on their individual styles. The findings indicate that style awareness significantly influenced the learning strategies of field-dependent students as they studied and carried out learning tasks in the Webquest. Field-dependent students with style awareness used hypertext links and navigated the menu sequentially a greater number of times than their counterparts with no style awareness. Correspondingly, there were no significant findings for field-independent students of the effects of style awareness on learning strategies. The findings also revealed significant differences in terms of style awareness and its interactions with achievement on the multiple-choice test. Both field-dependent and field-independent students with style awareness achieved higher scores than their counterparts who received no style awareness. There were however no significant findings with respect to the effects of style awareness on performance on the design task. Overall this study demonstrated that providing middle-school students with cognitive-style awareness training can improve both their academic performance as well as enable them to adopt more effective learning strategies when learning in hypermedia environments.

Taking Aim at the Cognitive Side of Learning in Sensorimotor Adaptation Tasks.

PubMed

McDougle, Samuel D; Ivry, Richard B; Taylor, Jordan A

2016-07-01

Sensorimotor adaptation tasks have been used to characterize processes responsible for calibrating the mapping between desired outcomes and motor commands. Research has focused on how this form of error-based learning takes place in an implicit and automatic manner. However, recent work has revealed the operation of multiple learning processes, even in this simple form of learning. This review focuses on the contribution of cognitive strategies and heuristics to sensorimotor learning, and how these processes enable humans to rapidly explore and evaluate novel solutions to enable flexible, goal-oriented behavior. This new work points to limitations in current computational models, and how these must be updated to describe the conjoint impact of multiple processes in sensorimotor learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

An Evaluation of Pedagogical Tutorial Tactics for a Natural Language Tutoring System: A Reinforcement Learning Approach

ERIC Educational Resources Information Center

Chi, Min; VanLehn, Kurt; Litman, Diane; Jordan, Pamela

2011-01-01

Pedagogical strategies are policies for a tutor to decide the next action when there are multiple actions available. When the content is controlled to be the same across experimental conditions, there has been little evidence that tutorial decisions have an impact on students' learning. In this paper, we applied Reinforcement Learning (RL) to…

A SMART Data Analysis Method for Constructing Adaptive Treatment Strategies for Substance Use Disorders

PubMed Central

Ertefaie, Ashkan; Lucy, Xi; Lynch, Kevin G.; McKay, James R.; Oslin, David; Almirall, Daniel

2016-01-01

Aims To demonstrate how Q-learning, a novel data analysis method, can be used with data from a sequential, multiple assignment, randomized trial (SMART) to construct empirically an adaptive treatment strategy (ATS) that is more tailored than the ATSs already embedded in a SMART. Method We use Q-learning with data from the Extending Treatment Effectiveness of Naltrexone (ExTENd) SMART (N=250) to construct empirically an ATS employing naltrexone, behavioral intervention, and telephone disease management to reduce alcohol consumption over 24 weeks in alcohol dependent individuals. Results Q-learning helped to identify a subset of individuals who, despite showing early signs of response to naltrexone, require additional treatment to maintain progress. Conclusions Q-learning can inform the development of more cost-effective, stepped-care strategies for treating substance use disorders. PMID:28029718

Learning and Study Strategies Inventory subtests and factors as predictors of National Board of Chiropractic Examiners Part 1 examination performance.

PubMed

Schutz, Christine M; Dalton, Leanne; Tepe, Rodger E

2013-01-01

This study was designed to extend research on the relationship between chiropractic students' learning and study strategies and national board examination performance. Sixty-nine first trimester chiropractic students self-administered the Learning and Study Strategies Inventory (LASSI). Linear trends tests (for continuous variables) and Mantel-Haenszel trend tests (for categorical variables) were utilized to determine if the 10 LASSI subtests and 3 factors predicted low, medium and high levels of National Board of Chiropractic Examiners (NBCE) Part 1 scores. Multiple regression was performed to predict overall mean NBCE examination scores using the 3 LASSI factors as predictor variables. Four LASSI subtests (Anxiety, Concentration, Selecting Main Ideas, Test Strategies) and one factor (Goal Orientation) were significantly associated with NBCE examination levels. One factor (Goal Orientation) was a significant predictor of overall mean NBCE examination performance. Learning and study strategies are predictive of NBCE Part 1 examination performance in chiropractic students. The current study found LASSI subtests Anxiety, Concentration, Selecting Main Ideas, and Test Strategies, and the Goal-Orientation factor to be significant predictors of NBCE scores. The LASSI may be useful to educators in preparing students for academic success. Further research is warranted to explore the effects of learning and study strategies training on GPA and NBCE performance.

Undergraduate Student Motivation in Modularized Developmental Mathematics Courses

ERIC Educational Resources Information Center

Pachlhofer, Keith A.

2017-01-01

This study used the Motivated Strategies for Learning Questionnaire in modularized courses at three institutions across the nation (N = 189), and multiple regression was completed to investigate five categories of student motivation that predicted academic success and course completion. The overall multiple regression analysis was significant and…

Self-Assessment as a Process for Inclusion

ERIC Educational Resources Information Center

Bourke, Roseanna; Mentis, Mandia

2013-01-01

There are multiple ways that assessment is positioned within education: as a method for accountability, a strategy to attract funding and an approach to support learning. Different assessment practices portray students in different ways and can serve to include or exclude them in their learning and assessment. Students are often categorised and…

Validation and Analysis of the Coupled Multiple Response Colorado Upper-Division Electrostatics Diagnostic

ERIC Educational Resources Information Center

Wilcox, Bethany R.; Pollock, Steven J.

2015-01-01

Standardized conceptual assessment represents a widely used tool for educational researchers interested in student learning within the standard undergraduate physics curriculum. For example, these assessments are often used to measure student learning across educational contexts and instructional strategies. However, to support the large-scale…

Multiple Learning Strategies Project. Building Maintenance & Engineering. Regular Vocational. [Vol. 2.

ERIC Educational Resources Information Center

Smith, Dwight; And Others

This instructional package is one of two designed for regular vocational students in the vocational area of building maintenance and engineering. The fifty-three learning modules are organized into ten units: office cleaning; grounds; sanitation; boiler maintenance and operation; power and hand tools; cabinet construction; repair of damaged…

Multiple Learning Strategies Project. Graphics. EMI.

ERIC Educational Resources Information Center

Steinberg, Alan; And Others

This instructional package, designed for educable mentally impaired students, focuses on the vocational area of graphics. Contained in this document are nine learning modules organized into a finishing and bindery unit. Maintenance of a Challenge power cutter, operation of a hand electric stapler, and packaging with kraft paper are examples of…

Leadership in Multiplayer Online Gaming Environments

ERIC Educational Resources Information Center

Lisk, Timothy C.; Kaplancali, Ugur T.; Riggio, Ronald E.

2012-01-01

With their increased popularity, games open up possibilities for simultaneous learning on multiple levels; players may learn from contextual information embedded in the narrative of the game and through the risks, benefits, costs, outcomes, and rewards of the alternative strategies that result from fast-paced decision making. Such dynamics also…

Multiple Learning Strategies Project. Small Engine Repair. Visually Impaired.

ERIC Educational Resources Information Center

Foster, Don; And Others

This instructional package designed for visually impaired students, focuses on the vocational area of small engine repair. Contained in this document are forty learning modules organized into fourteen units: engine block; starters; fuel tank, lines, filters and pumps; carburetors; electrical; test equipment; motorcycle; machining; tune-ups; short…

Multiple Learning Strategies Project. Medical Assistant. Visually Impaired. [Vol. 1.

ERIC Educational Resources Information Center

Varney, Beverly; And Others

This instructional package, one of two designed for visually impaired students, focuses on the vocational area of medical assistant. Contained in this document are twelve learning modules organized into five units: language; receptioning; asepsis; supplies and equipment maintenance; and diagnostic tests. Each module, printed in block type,…

Multiple Learning Strategies Project. Medical Assistant. [Regular Vocational. Vol. 1.

ERIC Educational Resources Information Center

Varney, Beverly; And Others

This instructional package, one of four designed for regular vocational students, focuses on the vocational area of medical assistant. Contained in this document are twenty-six learning modules organized into three units: language; receptioning; and asepsis. Each module includes these elements: a performance objective page telling what will be…

Multiple Learning Strategies Project. Medical Assistant. [Regular Vocational. Vol. 3.

ERIC Educational Resources Information Center

Varney, Beverly; And Others

This instructional package, one of four designed for regular vocational students, focuses on the vocational area of medical assistant. Contained in this document are forty learning modules organized into four units: office surgery; telephoning; bandaging; and medications and treatments. Each module includes these elements: a performance objective…

Evaluating the Effectiveness of the Lecture versus Independent Study.

ERIC Educational Resources Information Center

DaRosa, Debra A.; And Others

1991-01-01

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

Argumentation Based Joint Learning: A Novel Ensemble Learning Approach

PubMed Central

Xu, Junyi; Yao, Li; Li, Le

2015-01-01

Recently, ensemble learning methods have been widely used to improve classification performance in machine learning. In this paper, we present a novel ensemble learning method: argumentation based multi-agent joint learning (AMAJL), which integrates ideas from multi-agent argumentation, ensemble learning, and association rule mining. In AMAJL, argumentation technology is introduced as an ensemble strategy to integrate multiple base classifiers and generate a high performance ensemble classifier. We design an argumentation framework named Arena as a communication platform for knowledge integration. Through argumentation based joint learning, high quality individual knowledge can be extracted, and thus a refined global knowledge base can be generated and used independently for classification. We perform numerous experiments on multiple public datasets using AMAJL and other benchmark methods. The results demonstrate that our method can effectively extract high quality knowledge for ensemble classifier and improve the performance of classification. PMID:25966359

ℓ(p)-Norm multikernel learning approach for stock market price forecasting.

PubMed

Shao, Xigao; Wu, Kun; Liao, Bifeng

2012-01-01

Linear multiple kernel learning model has been used for predicting financial time series. However, ℓ(1)-norm multiple support vector regression is rarely observed to outperform trivial baselines in practical applications. To allow for robust kernel mixtures that generalize well, we adopt ℓ(p)-norm multiple kernel support vector regression (1 ≤ p < ∞) as a stock price prediction model. The optimization problem is decomposed into smaller subproblems, and the interleaved optimization strategy is employed to solve the regression model. The model is evaluated on forecasting the daily stock closing prices of Shanghai Stock Index in China. Experimental results show that our proposed model performs better than ℓ(1)-norm multiple support vector regression model.

Cerebellar and prefrontal cortex contributions to adaptation, strategies, and reinforcement learning.

PubMed

Taylor, Jordan A; Ivry, Richard B

2014-01-01

Traditionally, motor learning has been studied as an implicit learning process, one in which movement errors are used to improve performance in a continuous, gradual manner. The cerebellum figures prominently in this literature given well-established ideas about the role of this system in error-based learning and the production of automatized skills. Recent developments have brought into focus the relevance of multiple learning mechanisms for sensorimotor learning. These include processes involving repetition, reinforcement learning, and strategy utilization. We examine these developments, considering their implications for understanding cerebellar function and how this structure interacts with other neural systems to support motor learning. Converging lines of evidence from behavioral, computational, and neuropsychological studies suggest a fundamental distinction between processes that use error information to improve action execution or action selection. While the cerebellum is clearly linked to the former, its role in the latter remains an open question. © 2014 Elsevier B.V. All rights reserved.

Cerebellar and Prefrontal Cortex Contributions to Adaptation, Strategies, and Reinforcement Learning

PubMed Central

Taylor, Jordan A.; Ivry, Richard B.

2014-01-01

Traditionally, motor learning has been studied as an implicit learning process, one in which movement errors are used to improve performance in a continuous, gradual manner. The cerebellum figures prominently in this literature given well-established ideas about the role of this system in error-based learning and the production of automatized skills. Recent developments have brought into focus the relevance of multiple learning mechanisms for sensorimotor learning. These include processes involving repetition, reinforcement learning, and strategy utilization. We examine these developments, considering their implications for understanding cerebellar function and how this structure interacts with other neural systems to support motor learning. Converging lines of evidence from behavioral, computational, and neuropsychological studies suggest a fundamental distinction between processes that use error information to improve action execution or action selection. While the cerebellum is clearly linked to the former, its role in the latter remains an open question. PMID:24916295

Strategy selection in cue-based decision making.

PubMed

Bryant, David J

2014-06-01

People can make use of a range of heuristic and rational, compensatory strategies to perform a multiple-cue judgment task. It has been proposed that people are sensitive to the amount of cognitive effort required to employ decision strategies. Experiment 1 employed a dual-task methodology to investigate whether participants' preference for heuristic versus compensatory decision strategies can be altered by increasing the cognitive demands of the task. As indicated by participants' decision times, a secondary task interfered more with the performance of a heuristic than compensatory decision strategy but did not affect the proportions of participants using either type of strategy. A stimulus set effect suggested that the conjunction of cue salience and cue validity might play a determining role in strategy selection. The results of Experiment 2 indicated that when a perceptually salient cue was also the most valid, the majority of participants preferred a single-cue heuristic strategy. Overall, the results contradict the view that heuristics are more likely to be adopted when a task is made more cognitively demanding. It is argued that people employ 2 learning processes during training, one an associative learning process in which cue-outcome associations are developed by sampling multiple cues, and another that involves the sequential examination of single cues to serve as a basis for a single-cue heuristic.

Abrupt Strategy Change Underlies Gradual Performance Change: Bayesian Hierarchical Models of Component and Aggregate Strategy Use

ERIC Educational Resources Information Center

Wynton, Sarah K. A.; Anglim, Jeromy

2017-01-01

While researchers have often sought to understand the learning curve in terms of multiple component processes, few studies have measured and mathematically modeled these processes on a complex task. In particular, there remains a need to reconcile how abrupt changes in strategy use can co-occur with gradual changes in task completion time. Thus,…

Scaffolding the Science: Problem Based Strategies for Teaching Interdisciplinary Undergraduate Research Methods

ERIC Educational Resources Information Center

Keebaugh, Alaine; Darrow, Lyndsey; Tan, David; Jamerson, Heather

2009-01-01

Previous research has highlighted the effectiveness of Problem-Based Learning (PBL) in multiple disciplinary settings, including medicine, teacher education, business, allied health, and the social sciences. Yet interdisciplinary educators have very little information about how to implement PBL in classrooms where multiple disciplines are…

The Role of Problem Solving in Complex Intraverbal Repertoires

ERIC Educational Resources Information Center

Sautter, Rachael A.; LeBlanc, Linda A.; Jay, Allison A.; Goldsmith, Tina R.; Carr, James E.

2011-01-01

We examined whether typically developing preschoolers could learn to use a problem-solving strategy that involved self-prompting with intraverbal chains to provide multiple responses to intraverbal categorization questions. Teaching the children to use the problem-solving strategy did not produce significant increases in target responses until…

Fostering the Development of Critical Thinking Skills, and Reading Comprehension of Undergraduates Using a Web 2.0 Tool Coupled with a Learning System

ERIC Educational Resources Information Center

Mendenhall, Anne; Johnson, Tristan E.

2010-01-01

A social annotation model learning system (SAM-LS) was created using multiple instructional strategies thereby supporting the student in improving in critical thinking, critical writing and related literacy. There are four mechanisms in which the SAM-LS methodology is believed to improve learning and performance. These mechanisms include providing…

After-School Spaces: Looking for Learning in All the Right Places

NASA Astrophysics Data System (ADS)

Schnittka, Christine G.; Evans, Michael A.; Won, Samantha G. L.; Drape, Tiffany A.

2016-06-01

After-school settings provide youth with homework support, social outlets and fun activities, and help build self-confidence. They are safe places for forming relationships with caring adults. More after-school settings are starting to integrate Science, Technology, Engineering, and Mathematics (STEM) topics. What science skills and concepts might youth learn in engineering design-based after-school settings? Traditional assessments often fail to capture the ways youth learn in informal settings, and deep science understandings are notoriously difficult to measure. In this study, we examined three after-school settings where 65 youth were learning science through engineering design challenges. In this informal setting, we examined storyboards, social networking forum (SNF) chat logs, videos of whole-class interactions, interviews with groups and single participants, and traditional multiple-choice pre- and posttest results. As we looked for evidence of learning, we found that the social networking forum was rich with data. Interviews were even more informative, much more so than traditional pencil and paper multiple-choice tests. We found that different kinds of elicitation strategies adopted by site leaders and facilitators played an important role in the ways youth constructed knowledge. These elicitation strategies also helped us find evidence of learning. Based on findings, future iterations of the curricula will involve tighter integration of social networking forums, continued use of videotaped interviews for data collection, an increased focus on training site leaders and facilitators in elicitation strategies, and more open-ended pencil and paper assessments in order to facilitate the process of looking for learning.

Strategy selection as rational metareasoning.

PubMed

Lieder, Falk; Griffiths, Thomas L

2017-11-01

Many contemporary accounts of human reasoning assume that the mind is equipped with multiple heuristics that could be deployed to perform a given task. This raises the question of how the mind determines when to use which heuristic. To answer this question, we developed a rational model of strategy selection, based on the theory of rational metareasoning developed in the artificial intelligence literature. According to our model people learn to efficiently choose the strategy with the best cost-benefit tradeoff by learning a predictive model of each strategy's performance. We found that our model can provide a unifying explanation for classic findings from domains ranging from decision-making to arithmetic by capturing the variability of people's strategy choices, their dependence on task and context, and their development over time. Systematic model comparisons supported our theory, and 4 new experiments confirmed its distinctive predictions. Our findings suggest that people gradually learn to make increasingly more rational use of fallible heuristics. This perspective reconciles the 2 poles of the debate about human rationality by integrating heuristics and biases with learning and rationality. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images

NASA Astrophysics Data System (ADS)

Rougier, Simon; Puissant, Anne; Stumpf, André; Lachiche, Nicolas

2016-09-01

Vegetation monitoring is becoming a major issue in the urban environment due to the services they procure and necessitates an accurate and up to date mapping. Very High Resolution satellite images enable a detailed mapping of the urban tree and herbaceous vegetation. Several supervised classifications with statistical learning techniques have provided good results for the detection of urban vegetation but necessitate a large amount of training data. In this context, this study proposes to investigate the performances of different sampling strategies in order to reduce the number of examples needed. Two windows based active learning algorithms from state-of-art are compared to a classical stratified random sampling and a third combining active learning and stratified strategies is proposed. The efficiency of these strategies is evaluated on two medium size French cities, Strasbourg and Rennes, associated to different datasets. Results demonstrate that classical stratified random sampling can in some cases be just as effective as active learning methods and that it should be used more frequently to evaluate new active learning methods. Moreover, the active learning strategies proposed in this work enables to reduce the computational runtime by selecting multiple windows at each iteration without increasing the number of windows needed.

The evolutionary basis of human social learning

PubMed Central

Morgan, T. J. H.; Rendell, L. E.; Ehn, M.; Hoppitt, W.; Laland, K. N.

2012-01-01

Humans are characterized by an extreme dependence on culturally transmitted information. Such dependence requires the complex integration of social and asocial information to generate effective learning and decision making. Recent formal theory predicts that natural selection should favour adaptive learning strategies, but relevant empirical work is scarce and rarely examines multiple strategies or tasks. We tested nine hypotheses derived from theoretical models, running a series of experiments investigating factors affecting when and how humans use social information, and whether such behaviour is adaptive, across several computer-based tasks. The number of demonstrators, consensus among demonstrators, confidence of subjects, task difficulty, number of sessions, cost of asocial learning, subject performance and demonstrator performance all influenced subjects' use of social information, and did so adaptively. Our analysis provides strong support for the hypothesis that human social learning is regulated by adaptive learning rules. PMID:21795267

The evolutionary basis of human social learning.

PubMed

Morgan, T J H; Rendell, L E; Ehn, M; Hoppitt, W; Laland, K N

2012-02-22

Humans are characterized by an extreme dependence on culturally transmitted information. Such dependence requires the complex integration of social and asocial information to generate effective learning and decision making. Recent formal theory predicts that natural selection should favour adaptive learning strategies, but relevant empirical work is scarce and rarely examines multiple strategies or tasks. We tested nine hypotheses derived from theoretical models, running a series of experiments investigating factors affecting when and how humans use social information, and whether such behaviour is adaptive, across several computer-based tasks. The number of demonstrators, consensus among demonstrators, confidence of subjects, task difficulty, number of sessions, cost of asocial learning, subject performance and demonstrator performance all influenced subjects' use of social information, and did so adaptively. Our analysis provides strong support for the hypothesis that human social learning is regulated by adaptive learning rules.

A Case Study Examination of Best Practices of Professional Learning Communities

ERIC Educational Resources Information Center

Akopoff, Tanya M.

2010-01-01

A current trend in education is that small teacher groups, called professional learning communities (PLC), are being advocated as a tool to help teachers reach struggling students. Educators planning to use PLC as an intervention strategy can benefit from research-based information about PLC best practices. This multiple case study addressed the…

Emphasizing Planning for Essay Writing with a Computer-Based Graphic Organizer

ERIC Educational Resources Information Center

Evmenova, Anya S.; Regan, Kelley; Boykin, Andrea; Good, Kevin; Hughes, Melissa; MacVittie, Nichole; Sacco, Donna; Ahn, Soo Y.; Chirinos, David

2016-01-01

The authors conducted a multiple-baseline study to investigate the effects of a computer-based graphic organizer (CBGO) with embedded self-regulated learning strategies on the quantity and quality of persuasive essay writing by students with high-incidence disabilities. Ten seventh- and eighth-grade students with learning disabilities, emotional…

Effects of Explicit Subtraction Instruction on Fifth Grade Students with Learning Disabilities

ERIC Educational Resources Information Center

Ferreira, Danielle

2009-01-01

This study involved an investigation of the effects of strategy instruction integrated with the concrete-representational-abstract teaching sequence on students with learning disabilities. A multiple probe design across subjects with one replication was used in this study. Two sets of data were analyzed to determine effectiveness of the…

Multiple Learning Strategies Project. Building Maintenance & Engineering. Low Reader. [Vol. 2.

ERIC Educational Resources Information Center

Steinberg, A.; And Others

This instructional package is one of two designed for low reader students (those reading at grade level 3-6) in the vocational area of building maintenance and engineering. The forty-four learning modules are organized into eleven units: chalkboards; carpet care; office cleaning; grounds; sanitation; boiler maintenance and operation; power and…

Multiple Learning Strategies Project. Building Maintenance & Engineering. Educable Mentally Impaired. [Vol. 3.

ERIC Educational Resources Information Center

Steinberg, Alan; And Others

This instructional package is one of three designed for educable mentally impaired students in the vocational area of building maintenance and engineering. The thirty-one learning modules are organized into nine units: grounds; sanitation; boiler maintenance and operation; power and hand tools; cabinet construction; repair of damaged furniture;…

Community Based Learning with Adults: Bridging Efforts in Multiple Sectors

ERIC Educational Resources Information Center

Holland, Barbara; Robinson, Gail

2008-01-01

In this article, the authors explore the diverse ways in which community based learning strategies are used to enhance further development of adults, raising their levels of educational attainment and increasing their involvement in public and civic activities. There are two social and demographic dynamics at the heart of this topic: the aging…

Socially Shared Metacognitive Regulation during Reciprocal Peer Tutoring: Identifying Its Relationship with Students' Content Processing and Transactive Discussions

ERIC Educational Resources Information Center

De Backer, Liesje; Van Keer, Hilde; Valcke, Martin

2015-01-01

Although successful collaborative learning requires socially shared metacognitive regulation (SSMR) of the learning process among multiple students, empirical research on SSMR is limited. The present study contributes to the emerging research on SSMR by examining its correlation with both collaborative learners' content processing strategies and…

Multiple Learning Strategies Project. Small Engine Repair Service. [Regular Vocational. Vol. 2.

ERIC Educational Resources Information Center

Pitts, Jim; And Others

This instructional package is one of two designed for use by regular vocational students in the vocational area of small engine repair service. Contained in this document are forty-nine learning modules organized into eleven units: test equipment; motorcycle; engine removal and replacement; machining; tune-ups; short blocks; storage; filling out…

Effects of Two Interventions on Solving Basic Fact Problems by Second Graders with Mathematics Learning Disabilities

ERIC Educational Resources Information Center

Dennis, Minyi Shih; Sorrells, Audrey McCray; Falcomata, Terry S.

2016-01-01

This study used a multiple probe across participants design, replicated across two interventions and counterbalanced across participant groups to examine the effects of number sense intervention and extensive practice intervention on strategy transformation when students with mathematics learning disabilities (MLD) solved basic fact problems. In…

The Effects of a Multiyear Universal Social-Emotional Learning Program: The Role of Student and School Characteristics

ERIC Educational Resources Information Center

Bierman, Karen L.; Coie, John D.; Dodge, Kenneth A.; Greenberg, Mark T.; Lochman, John E.; McMahon, Robert J.; Pinderhughes, Ellen

2010-01-01

Objective: This article examines the impact of a universal social-emotional learning program, the Fast Track PATHS (Promoting Alternative Thinking Strategies) curriculum and teacher consultation, embedded within the Fast Track selective prevention model. Method: The longitudinal analysis involved 2,937 children of multiple ethnicities who remained…

The Multicultural Mathematics Classroom: Culturally Aware Teaching through Cooperative Learning & Multiple Representations

ERIC Educational Resources Information Center

Jao, Limin

2012-01-01

The National Council of Teachers of Mathematics (NCTM, 2000) has created a set of standards to reform mathematics teaching procedures to ensure that all students understand mathematics and learn to think mathematically. The standards also require teachers to use strategies that allow all students to reason and communicate mathematically and…

One Size May Not Fit All, But the Right Teaching Strategies Might: The Effects of Differentiated Instruction on the Motivation of Talented and Gifted Students

ERIC Educational Resources Information Center

Kondor, Carrie Ann Hyde

2007-01-01

The purpose of this study was to discover and successfully implement multiple strategies for differentiation that would engage and motivate Talented and Gifted (TAG) learners. Six TAG students from a third grade general education classroom setting participated in this study. Differentiation strategies of a learning style inventory, a project…

Can Multiple-Choice Testing Induce Desirable Difficulties? Evidence from the Laboratory and the Classroom.

PubMed

Bjork, Elizabeth Ligon; Soderstrom, Nicholas C; Little, Jeri L

2015-01-01

The term desirable difficulties (Bjork, 1994) refers to conditions of learning that, though often appearing to cause difficulties for the learner and to slow down the process of acquisition, actually improve long-term retention and transfer. One known desirable difficulty is testing (as compared with restudy), although typically it is tests that clearly involve retrieval--such as free and cued recall tests--that are thought to induce these learning benefits and not multiple-choice tests. Nonetheless, multiple-choice testing is ubiquitous in educational settings and many other high-stakes situations. In this article, we discuss research, in both the laboratory and the classroom, exploring whether multiple-choice testing can also be fashioned to promote the type of retrieval processes known to improve learning, and we speculate about the necessary properties that multiple-choice questions must possess, as well as the metacognitive strategy students need to use in answering such questions, to achieve this goal.

Costs of California Multiple Pathway Programs. Policy Report

ERIC Educational Resources Information Center

Parsi, Ace; Plank, David; Stern, David

2010-01-01

There is widespread agreement that many of California's high schools are doing a poor job of preparing their students for college and careers. The James Irvine Foundation is sponsoring a major initiative to develop "Multiple Pathways"--now called the Linked Learning approach--as a strategy for improving the performance of California high…

Pedagogic Strategies Supporting the Use of Synchronous Audiographic Conferencing: A Review of the Literature

ERIC Educational Resources Information Center

de Freitas, Sara; Neumann, Tim

2009-01-01

Synchronous audiographic conferencing (SAC) refers to a combination of technologies for real-time communication and interaction using multiple media and modes. With an increasing institutional uptake of SAC, users require an understanding of the complex interrelations of multiple media in learning scenarios in order to support pedagogic-driven…

Multiplicity in public health supply systems: a learning agenda.

PubMed

Bornbusch, Alan; Bates, James

2013-08-01

Supply chain integration-merging products for health programs into a single supply chain-tends to be the dominant model in health sector reform. However, multiplicity in a supply system may be justified as a risk management strategy that can better ensure product availability, advance specific health program objectives, and increase efficiency.

Social Media at Academia's Periphery: Studying Multilingual Developmental Writers' Facebook Composing Strategies

ERIC Educational Resources Information Center

DePew, Kevin Eric

2011-01-01

This article focuses on the writing strategies second-language students use to compose on social media sites. These alternative and unconventional sites for learning provide language learners opportunities to acquire language by using multiple modalities to respond to various rhetorical situations. In comparison to these sites, academic writing…

"FearNot!": A Computer-Based Anti-Bullying-Programme Designed to Foster Peer Intervention

ERIC Educational Resources Information Center

Vannini, Natalie; Enz, Sibylle; Sapouna, Maria; Wolke, Dieter; Watson, Scott; Woods, Sarah; Dautenhahn, Kerstin; Hall, Lynne; Paiva, Ana; Andre, Elizabeth; Aylett, Ruth; Schneider, Wolfgang

2011-01-01

Bullying is widespread in European schools, despite multiple intervention strategies having been proposed over the years. The present study investigates the effects of a novel virtual learning strategy ("FearNot!") to tackle bullying in both UK and German samples. The approach is intended primarily for victims to increase their coping…

Supplemental Reading Strategy Instruction for Adolescents: A Randomized Trial and Follow-up Study

ERIC Educational Resources Information Center

Cantrell, Susan Chambers; Almasi, Janice F.; Rintamaa, Margaret; Carter, Janis C.

2016-01-01

In this study, the authors examine the impact of a yearlong supplemental reading course involving daily instruction in the learning strategies curriculum on lower achieving adolescent students' reading achievement and motivation. Using a multiple-cohort randomized treatment-control group design over 4 years, they compared achievement and…

ℓ p-Norm Multikernel Learning Approach for Stock Market Price Forecasting

PubMed Central

Shao, Xigao; Wu, Kun; Liao, Bifeng

2012-01-01

Linear multiple kernel learning model has been used for predicting financial time series. However, ℓ 1-norm multiple support vector regression is rarely observed to outperform trivial baselines in practical applications. To allow for robust kernel mixtures that generalize well, we adopt ℓ p-norm multiple kernel support vector regression (1 ≤ p < ∞) as a stock price prediction model. The optimization problem is decomposed into smaller subproblems, and the interleaved optimization strategy is employed to solve the regression model. The model is evaluated on forecasting the daily stock closing prices of Shanghai Stock Index in China. Experimental results show that our proposed model performs better than ℓ 1-norm multiple support vector regression model. PMID:23365561

Lessons learned in multisite, nursing education research while studying a technology learning innovation.

PubMed

North, Sarah; Giddens, Jean

2013-10-01

Multiple challenges must be addressed when educational research is being conducted that involves a teaching innovation at multiple sites over time, including the consistent adoption and use of the intervention, attrition, response rates, and other aspects related to managing a complex study. After an 18-month nursing education study was conducted at multiple institutions across the United States, the authors' study team reflected on strategies that worked well, the challenges faced, and what could have been done differently. This article details the challenges and offers recommendations for other researchers conducting similar studies. Recommendations related to communication and engagement, innovation fidelity, survey fatigue, multiple institutional review board applications, and flexibility are provided. Copyright 2013, SLACK Incorporated.

A visual tracking method based on improved online multiple instance learning

NASA Astrophysics Data System (ADS)

He, Xianhui; Wei, Yuxing

2016-09-01

Visual tracking is an active research topic in the field of computer vision and has been well studied in the last decades. The method based on multiple instance learning (MIL) was recently introduced into the tracking task, which can solve the problem that template drift well. However, MIL method has relatively poor performance in running efficiency and accuracy, due to its strong classifiers updating strategy is complicated, and the speed of the classifiers update is not always same with the change of the targets' appearance. In this paper, we present a novel online effective MIL (EMIL) tracker. A new update strategy for strong classifier was proposed to improve the running efficiency of MIL method. In addition, to improve the t racking accuracy and stability of the MIL method, a new dynamic mechanism for learning rate renewal of the classifier and variable search window were proposed. Experimental results show that our method performs good performance under the complex scenes, with strong stability and high efficiency.

Potential Values of Incorporating a Multiple-Choice Question Construction in Physics Experimentation Instruction

NASA Astrophysics Data System (ADS)

Yu, Fu-Yun; Liu, Yu-Hsin

2005-09-01

The potential value of a multiple-choice question-construction instructional strategy for the support of students’ learning of physics experiments was examined in the study. Forty-two university freshmen participated in the study for a whole semester. A constant comparison method adopted to categorize students’ qualitative data indicated that the influences of multiple-choice question construction were evident in several significant ways (promoting constructive and productive studying habits; reflecting and previewing course-related materials; increasing in-group communication and interaction; breaking passive learning style and habits, etc.), which, worked together, not only enhanced students’ comprehension and retention of the obtained knowledge, but also helped distil a sense of empowerment and learning community within the participants. Analysis with one-group t-tests, using 3 as the expected mean, on quantitative data further found that students’ satisfaction toward past learning experience, and perceptions toward this strategy’s potentials for promoting learning were statistically significant at the 0.0005 level, while learning anxiety was not statistically significant. Suggestions for incorporating question-generation activities within classroom and topics for future studies were rendered.

Abrupt strategy change underlies gradual performance change: Bayesian hierarchical models of component and aggregate strategy use.

PubMed

Wynton, Sarah K A; Anglim, Jeromy

2017-10-01

While researchers have often sought to understand the learning curve in terms of multiple component processes, few studies have measured and mathematically modeled these processes on a complex task. In particular, there remains a need to reconcile how abrupt changes in strategy use can co-occur with gradual changes in task completion time. Thus, the current study aimed to assess the degree to which strategy change was abrupt or gradual, and whether strategy aggregation could partially explain gradual performance change. It also aimed to show how Bayesian methods could be used to model the effect of practice on strategy use. To achieve these aims, 162 participants completed 15 blocks of practice on a complex computer-based task-the Wynton-Anglim booking (WAB) task. The task allowed for multiple component strategies (i.e., memory retrieval, information reduction, and insight) that could also be aggregated to a global measure of strategy use. Bayesian hierarchical models were used to compare abrupt and gradual functions of component and aggregate strategy use. Task completion time was well-modeled by a power function, and global strategy use explained substantial variance in performance. Change in component strategy use tended to be abrupt, whereas change in global strategy use was gradual and well-modeled by a power function. Thus, differential timing of component strategy shifts leads to gradual changes in overall strategy efficiency, and this provides one reason for why smooth learning curves can co-occur with abrupt changes in strategy use. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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

PubMed

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

2012-03-12

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

The effect of content delivery style on student performance in anatomy.

PubMed

White, Lloyd J; McGowan, Heath W; McDonald, Aaron C

2018-04-12

The development of new technologies and ensuing pedagogical research has led many tertiary institutions to integrate and adopt online learning strategies. The authors of this study have incorporated online learning strategies into existing educational practices of a second year anatomy course, resulting in half of the course content delivered via face-to-face lectures, and half delivered online via tailored video vignettes, with accompanying worksheets and activities. The effect of the content delivery mode on student learning was analyzed by tailoring questions to content presented either face-to-face or online. Four practical tests were conducted across the semester with each consisting of four questions. Within each test, two questions were based on content delivered face-to-face, and two questions were based on content delivered online. Examination multiple choice questions were similarly divided and assessed. Findings indicate that student learning is consistent regardless of the mode of content delivery. However, student viewing habits had a significant impact on learning, with students who viewed videos multiple times achieving higher marks than those less engaged with the online content. Student comments also indicated that content delivery mode was not an influence on learning. Therefore student engagement, rather than the mode of content delivery, is a determinant of student learning and performance in human anatomy. Anat Sci Educ. © 2018 American Association of Anatomists. © 2018 American Association of Anatomists.

The Role of Metacognitive Strategies in Learning Music: A Multiple Case Study

ERIC Educational Resources Information Center

Colombo, Barbara; Antonietti, Alessandro

2017-01-01

The positive role of metacognition in music learning and practice is well assessed, but the role of musicians' metacognitive skills in such a context is not yet clear. Teachers often state that they apply a metacognitive approach during their lessons, but students fail to acknowledge it and report that they become metacognitive learners thanks to…

The Use of Multiple Tools for Teaching Medical Biochemistry

ERIC Educational Resources Information Center

Se, Alexandre B.; Passos, Renato M.; Ono, Andre H.; Hermes-Lima, Marcelo

2008-01-01

In this work, we describe the use of several strategies employing the philosophies of active learning and problem-based learning (PBL) that may be used to improve the teaching of metabolic biochemistry to medical and nutritional undergraduate students. The main activities are as follows: 1) a seminar/poster system in a mini-congress format (using…

Web-Based Dynamic Assessment: Taking Assessment as Teaching and Learning Strategy for Improving Students e-Learning Effectiveness

ERIC Educational Resources Information Center

Wang, Tzu-Hua

2010-01-01

This research combines the idea of cake format dynamic assessment defined by Sternberg and Grigorenko (2001) and the "graduated prompt approach" proposed by (Campione and Brown, 1985) and (Campione and Brown, 1987) to develop a multiple-choice Web-based dynamic assessment system. This research adopts a quasi-experimental design to…

Multiple Learning Strategies Project. Small Engine Repair Service. Regular Vocational. [Vol. 1.

ERIC Educational Resources Information Center

Pitts, Jim; And Others

This instructional package is one of two designed for use by regular vocational students in the vocational area of small engine repair service. Contained in this document are forty-four learning modules organized into ten units: engine block; air cleaner; starters; fuel tanks; lines, filters, and pumps; carburetors; electrical; magneto systems;…

The Syllabus as Passport into a Common Culture of Teaching and Learning: Developing and Assessing Strategies for Dealing with Diversity

ERIC Educational Resources Information Center

Green, Barbara; Stortz, Martha

2006-01-01

Finding themselves teaching to increasingly diverse student populations, two mid-career faculty from different disciplines embarked on a common voyage to make their foundational courses more sensitive to student learning styles. Adrift in the seas of multiple intelligences and multiculturalism, the researchers quickly abandoned any hope of…

A Multiple Strategy Framework Supporting Vocabulary Development for Students with Reading Comprehension Deficits

ERIC Educational Resources Information Center

Woolley, Gary

2010-01-01

Poor comprehenders are generally students who have significant language-learning deficits. A particular problem for students with poor comprehension is that they have difficulty learning new vocabulary because they are inclined to read less, and are unable to apply new meanings to unfamiliar words. This leads to the situation where the gap widens…

Mid-Level District Leadership Influences in Promoting Formative Assessment Practices in Secondary Schools: A Qualitative Multiple-Case Study

ERIC Educational Resources Information Center

Thompson, Jeff Roland

2017-01-01

A growing body of research evidence has suggested Assessment for Learning (AfL) practices represent a powerful intervention strategy that enhances learning for all students. Yet, grades 7-12 teachers in particular, generally continue to rely almost entirely on traditional summative assessment practices. However, some school principals in the…

Multiple goals, motivation and academic learning.

PubMed

Valle, Antonio; Cabanach, Ramón G; Núnez, José C; González-Pienda, Julio; Rodríguez, Susana; Piñeiro, Isabel

2003-03-01

The type of academic goals pursued by students is one of the most important variables in motivational research in educational contexts. Although motivational theory and research have emphasised the somewhat exclusive nature of two types of goal orientation (learning goals versus performance goals), some studies (Meece, 1994; Seifert, 1995, 1996) have shown that the two kinds of goals are relatively complementary and that it is possible for students to have multiple goals simultaneously, which guarantees some flexibility to adapt more efficaciously to various contexts and learning situations. The principal aim of this study is to determine the academic goals pursued by university students and to analyse the differences in several very significant variables related to motivation and academic learning. Participants were 609 university students (74% women and 26% men) who filled in several questionnaires about the variables under study. We used cluster analysis ('quick cluster analysis' method) to establish the different groups or clusters of individuals as a function of the three types of goals (learning goals, performance goals, and social reinforcement goals). By means of MANOVA, we determined whether the groups or clusters identified were significantly different in the variables that are relevant to motivation and academic learning. Lastly, we performed ANOVA on the variables that revealed significant effects in the previous analysis. Using cluster analysis, three groups of students with different motivational orientations were identified: a group with predominance of performance goals (Group PG: n = 230), a group with predominance of multiple goals (Group MG: n = 238), and a group with predominance of learning goals (Group LG: n = 141). Groups MG and LG attributed their success more to ability, they had higher perceived ability, they took task characteristics into account when planning which strategies to use in the learning process, they showed higher persistence, and used more deep learning strategies than did the students with predominance of performance goals (Group PG). On the other hand, Groups MG and PG took the evaluation criteria more into account when deciding which strategies to use in order to learn, and they attributed their failures more to luck than did Group LG. Students from Group MG attributed their success more to effort than did the other two groups and they attained higher achievement than Group PG. Group LG tended to attribute their failures more to lack of effort than did the other two groups.

Accelerating Imitation Learning in Relational Domains via Transfer by Initialization

DTIC Science & Technology

2013-08-28

Warcraft , regulation of traffic lights, logistics, and a variety of planning domains. A supervised learning method for imitation learning was recently...some information about the world (traffic density at a signal, distance to the goal etc.). We assume a functional parametrization over the policy and...strategy (RTS) game engine written in C based off the Warcraft series of games. Like all RTS games, it allows multiple agents to be controlled

Why Johnny can't reengineer health care processes with information technology.

PubMed

Webster, C; McLinden, S; Begler, K

1995-01-01

Many educational institutions are developing curricula that integrate computer and business knowledge and skills concerning a specific industry, such as banking or health care. We have developed a curriculum that emphasizes, equally, medical, computer, and business management concepts. Along the way we confronted a formidable obstacle, namely the domain specificity of the reference disciplines. Knowledge within each domain is sufficiently different from other domains that it reduces the leverage of building on preexisting knowledge and skills. We review this problem from the point of view of cognitive science (in particular, knowledge representation and machine learning) to suggest strategies for coping with incommensurate domain ontologies. These strategies include reflective judgment, implicit learning, abstraction, generalization, analogy, multiple inheritance, project-orientation, selectivity, goal- and failure-driven learning, and case- and story-based learning.

Improve Outcomes Study subjects Chemistry Teaching and Learning Strategies through independent study with the help of computer-based media

NASA Astrophysics Data System (ADS)

Sugiharti, Gulmah

2018-03-01

This study aims to see the improvement of student learning outcomes by independent learning using computer-based learning media in the course of STBM (Teaching and Learning Strategy) Chemistry. Population in this research all student of class of 2014 which take subject STBM Chemistry as many as 4 class. While the sample is taken by purposive as many as 2 classes, each 32 students, as control class and expriment class. The instrument used is the test of learning outcomes in the form of multiple choice with the number of questions as many as 20 questions that have been declared valid, and reliable. Data analysis techniques used one-sided t test and improved learning outcomes using a normalized gain test. Based on the learning result data, the average of normalized gain values for the experimental class is 0,530 and for the control class is 0,224. The result of the experimental student learning result is 53% and the control class is 22,4%. Hypothesis testing results obtained t count> ttable is 9.02> 1.6723 at the level of significance α = 0.05 and db = 58. This means that the acceptance of Ha is the use of computer-based learning media (CAI Computer) can improve student learning outcomes in the course Learning Teaching Strategy (STBM) Chemistry academic year 2017/2018.

Multiple Motor Learning Strategies in Visuomotor Rotation

PubMed Central

Saijo, Naoki; Gomi, Hiroaki

2010-01-01

Background When exposed to a continuous directional discrepancy between movements of a visible hand cursor and the actual hand (visuomotor rotation), subjects adapt their reaching movements so that the cursor is brought to the target. Abrupt removal of the discrepancy after training induces reaching error in the direction opposite to the original discrepancy, which is called an aftereffect. Previous studies have shown that training with gradually increasing visuomotor rotation results in a larger aftereffect than with a suddenly increasing one. Although the aftereffect difference implies a difference in the learning process, it is still unclear whether the learned visuomotor transformations are qualitatively different between the training conditions. Methodology/Principal Findings We examined the qualitative changes in the visuomotor transformation after the learning of the sudden and gradual visuomotor rotations. The learning of the sudden rotation led to a significant increase of the reaction time for arm movement initiation and then the reaching error decreased, indicating that the learning is associated with an increase of computational load in motor preparation (planning). In contrast, the learning of the gradual rotation did not change the reaction time but resulted in an increase of the gain of feedback control, suggesting that the online adjustment of the reaching contributes to the learning of the gradual rotation. When the online cursor feedback was eliminated during the learning of the gradual rotation, the reaction time increased, indicating that additional computations are involved in the learning of the gradual rotation. Conclusions/Significance The results suggest that the change in the motor planning and online feedback adjustment of the movement are involved in the learning of the visuomotor rotation. The contributions of those computations to the learning are flexibly modulated according to the visual environment. Such multiple learning strategies would be required for reaching adaptation within a short training period. PMID:20195373

Beginning science teachers' strategies for communicating with families

NASA Astrophysics Data System (ADS)

Bloom, Nena E.

Science learning occurs in both formal and informal spaces. Families are critical for developing student learning and interest in science because they provide important sources of knowledge, support and motivation. Bidirectional communication between teachers and families can be used to build relationships between homes and schools, leverage family knowledge of and support for learners, and create successful environments for science learning that will support both teaching and student learning. To identify the communication strategies of beginning science teachers, who are still developing their teaching practices, a multiple case study was conducted with seven first year secondary science teachers. The methods these teachers used to communicate with families, the information that was communicated and shared, and factors that shaped these teachers' continued development of communication strategies were examined. Demographic data, interview data, observations and documentation of communication through logs and artifacts were collected for this study. Results indicated that the methods teachers had access to and used for communication impacted the frequency and efficacy of their communication. Teachers and families communicated about a number of important topics, but some topics that could improve learning experiences and science futures for their students were rarely discussed, such as advancement in science, student learning in science and family knowledge. Findings showed that these early career teachers were continuing to learn about their communities and to develop their communication strategies with families. Teachers' familiarity with their school community, opportunities to practice strategies during preservice preparation and student teaching, their teaching environment, school policies, and learning from families and students in their school culture continued to shape and influence their views and communication strategies. Findings and implications for teacher preparation programs, teachers, schools and organizations are discussed.

Event recognition in personal photo collections via multiple instance learning-based classification of multiple images

NASA Astrophysics Data System (ADS)

Ahmad, Kashif; Conci, Nicola; Boato, Giulia; De Natale, Francesco G. B.

2017-11-01

Over the last few years, a rapid growth has been witnessed in the number of digital photos produced per year. This rapid process poses challenges in the organization and management of multimedia collections, and one viable solution consists of arranging the media on the basis of the underlying events. However, album-level annotation and the presence of irrelevant pictures in photo collections make event-based organization of personal photo albums a more challenging task. To tackle these challenges, in contrast to conventional approaches relying on supervised learning, we propose a pipeline for event recognition in personal photo collections relying on a multiple instance-learning (MIL) strategy. MIL is a modified form of supervised learning and fits well for such applications with weakly labeled data. The experimental evaluation of the proposed approach is carried out on two large-scale datasets including a self-collected and a benchmark dataset. On both, our approach significantly outperforms the existing state-of-the-art.

Biological sex influences learning strategy preference and muscarinic receptor binding in specific brain regions of prepubertal rats.

PubMed

Grissom, Elin M; Hawley, Wayne R; Hodges, Kelly S; Fawcett-Patel, Jessica M; Dohanich, Gary P

2013-04-01

According to the theory of multiple memory systems, specific brain regions interact to determine how the locations of goals are learned when rodents navigate a spatial environment. A number of factors influence the type of strategy used by rodents to remember the location of a given goal in space, including the biological sex of the learner. We recently found that prior to puberty male rats preferred a striatum-dependent stimulus-response strategy over a hippocampus-dependent place strategy when solving a dual-solution task, while age-matched females showed no strategy preference. Because the cholinergic system has been implicated in learning strategy and is known to be sexually dimorphic prior to puberty, we explored the relationship between learning strategy and muscarinic receptor binding in specific brain regions of prepubertal males and female rats. We confirmed our previous finding that at 28 days of age a significantly higher proportion of prepubertal males preferred a stimulus-response learning strategy than a place strategy to solve a dual-solution visible platform water maze task. Equal proportions of prepubertal females preferred stimulus-response or place strategies. Profiles of muscarinic receptor binding as assessed by autoradiography varied according to strategy preference. Regardless of biological sex, prepubertal rats that preferred stimulus-response strategy exhibited lower ratios of muscarinic receptor binding in the hippocampus relative to the dorsolateral striatum compared to rats that preferred place strategy. Importantly, much of the variance in this ratio was related to differences in the ventral hippocampus to a greater extent than the dorsal hippocampus. The ratios of muscarinic receptors in the hippocampus relative to the basolateral amygdala also were lower in rats that preferred stimulus-response strategy over place strategy. Results confirm that learning strategy preference varies with biological sex in prepubertal rats with males biased toward a stimulus-response strategy, and that stimulus-response strategy is associated with lower ratios of muscarinic binding in the hippocampus relative to either the striatum or amygdala. Copyright © 2012 Wiley Periodicals, Inc.

Impact Assessment of a Department-Wide Science Education Initiative Using Students' Perceptions of Teaching and Learning Experiences

ERIC Educational Resources Information Center

Jones, Francis

2017-01-01

Evaluating major post-secondary education improvement projects involves multiple perspectives, including students' perceptions of their experiences. In the final year of a seven-year department-wide science education initiative, we asked students in 48 courses to rate the extent to which each of 39 teaching or learning strategies helped them learn…

Multiple Learning Strategies Project. Small Engine Repair Service. Low Reader-Educable Mentally Impaired. [Vol. 1.

ERIC Educational Resources Information Center

Pitts, Jim; And Others

This instructional package, one of two designed for low reader-educable mentally impaired students, focuses on the vocational area of small engine repair service. (Low readers are identified as those reading at a 3-6 grade level.) Contained in this document are forty-three learning modules organized into nine units: engine block; air cleaner;…

Effects of Matching Multiple Memory Strategies with Computer-Assisted Instruction on Students' Statistics Learning Achievement

ERIC Educational Resources Information Center

Liao, Ying; Lin, Wen-He

2016-01-01

In the era when digitalization is pursued, numbers are the major medium of information performance and statistics is the primary instrument to interpret and analyze numerical information. For this reason, the cultivation of fundamental statistical literacy should be a key in the learning area of mathematics at the stage of compulsory education.…

Multiple Learning Strategies Project. Small Engine Repair Service. Low Reader-Educable Mentally Impaired. [Vol. 2.

ERIC Educational Resources Information Center

White, Debi; And Others

This instructional package, one of two designed for low reader-educable mentally impaired students, focuses on the vocational area of small engine repair service. (Low readers are identified as those at a reading level of grades 3-6.) Contained in this document are fifty learning modules organized into twelve units: sharpening and grinding mowers;…

Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction.

PubMed

He, Dan; Kuhn, David; Parida, Laxmi

2016-06-15

Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded numerically on a collection of plant, animal or human samples, the goal of genetic trait prediction is to predict the quantitative trait values by simultaneously modeling all marker effects. Genetic trait prediction is usually represented as linear regression models. In many cases, for the same set of samples and markers, multiple traits are observed. Some of these traits might be correlated with each other. Therefore, modeling all the multiple traits together may improve the prediction accuracy. In this work, we view the multitrait prediction problem from a machine learning angle: as either a multitask learning problem or a multiple output regression problem, depending on whether different traits share the same genotype matrix or not. We then adapted multitask learning algorithms and multiple output regression algorithms to solve the multitrait prediction problem. We proposed a few strategies to improve the least square error of the prediction from these algorithms. Our experiments show that modeling multiple traits together could improve the prediction accuracy for correlated traits. The programs we used are either public or directly from the referred authors, such as MALSAR (http://www.public.asu.edu/~jye02/Software/MALSAR/) package. The Avocado data set has not been published yet and is available upon request. dhe@us.ibm.com. © The Author 2016. Published by Oxford University Press.

Classroom sound can be used to classify teaching practices in college science courses.

PubMed

Owens, Melinda T; Seidel, Shannon B; Wong, Mike; Bejines, Travis E; Lietz, Susanne; Perez, Joseph R; Sit, Shangheng; Subedar, Zahur-Saleh; Acker, Gigi N; Akana, Susan F; Balukjian, Brad; Benton, Hilary P; Blair, J R; Boaz, Segal M; Boyer, Katharyn E; Bram, Jason B; Burrus, Laura W; Byrd, Dana T; Caporale, Natalia; Carpenter, Edward J; Chan, Yee-Hung Mark; Chen, Lily; Chovnick, Amy; Chu, Diana S; Clarkson, Bryan K; Cooper, Sara E; Creech, Catherine; Crow, Karen D; de la Torre, José R; Denetclaw, Wilfred F; Duncan, Kathleen E; Edwards, Amy S; Erickson, Karen L; Fuse, Megumi; Gorga, Joseph J; Govindan, Brinda; Green, L Jeanette; Hankamp, Paul Z; Harris, Holly E; He, Zheng-Hui; Ingalls, Stephen; Ingmire, Peter D; Jacobs, J Rebecca; Kamakea, Mark; Kimpo, Rhea R; Knight, Jonathan D; Krause, Sara K; Krueger, Lori E; Light, Terrye L; Lund, Lance; Márquez-Magaña, Leticia M; McCarthy, Briana K; McPheron, Linda J; Miller-Sims, Vanessa C; Moffatt, Christopher A; Muick, Pamela C; Nagami, Paul H; Nusse, Gloria L; Okimura, Kristine M; Pasion, Sally G; Patterson, Robert; Pennings, Pleuni S; Riggs, Blake; Romeo, Joseph; Roy, Scott W; Russo-Tait, Tatiane; Schultheis, Lisa M; Sengupta, Lakshmikanta; Small, Rachel; Spicer, Greg S; Stillman, Jonathon H; Swei, Andrea; Wade, Jennifer M; Waters, Steven B; Weinstein, Steven L; Willsie, Julia K; Wright, Diana W; Harrison, Colin D; Kelley, Loretta A; Trujillo, Gloriana; Domingo, Carmen R; Schinske, Jeffrey N; Tanner, Kimberly D

2017-03-21

Active-learning pedagogies have been repeatedly demonstrated to produce superior learning gains with large effect sizes compared with lecture-based pedagogies. Shifting large numbers of college science, technology, engineering, and mathematics (STEM) faculty to include any active learning in their teaching may retain and more effectively educate far more students than having a few faculty completely transform their teaching, but the extent to which STEM faculty are changing their teaching methods is unclear. Here, we describe the development and application of the machine-learning-derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers. DART analyzes the volume and variance of classroom recordings to predict the quantity of time spent on single voice (e.g., lecture), multiple voice (e.g., pair discussion), and no voice (e.g., clicker question thinking) activities. Applying DART to 1,486 recordings of class sessions from 67 courses, a total of 1,720 h of audio, revealed varied patterns of lecture (single voice) and nonlecture activity (multiple and no voice) use. We also found that there was significantly more use of multiple and no voice strategies in courses for STEM majors compared with courses for non-STEM majors, indicating that DART can be used to compare teaching strategies in different types of courses. Therefore, DART has the potential to systematically inventory the presence of active learning with ∼90% accuracy across thousands of courses in diverse settings with minimal effort.

Evaluation of the role of incentive structure on student participation and performance in active learning strategies: A comparison of case-based and team-based learning.

PubMed

Carrasco, Gonzalo A; Behling, Kathryn C; Lopez, Osvaldo J

2018-04-01

Student participation is important for the success of active learning strategies, but participation is often linked to the level of preparation. At our institution, we use two types of active learning activities, a modified case-based learning exercise called active learning groups (ALG) and team-based learning (TBL). These strategies have different assessment and incentive structures for participation. Non-cognitive skills are assessed in ALG using a subjective five-point Likert scale. In TBL, assessment of individual student preparation is based on a multiple choice quiz conducted at the beginning of each session. We studied first-year medical student participation and performance in ALG and TBL as well as performance on course final examinations. Student performance in TBL, but not in ALG, was strongly correlated with final examination scores. Additionally, in students who performed in the upper 33rd percentile on the final examination, there was a positive correlation between final examination performance and participation in TBL and ALG. This correlation was not seen in students who performed in the lower 33rd percentile on the final examinations. Our results suggest that assessments of medical knowledge during active learning exercises could supplement non-cognitive assessments and could be good predictors of performance on summative examinations.

A Case Study of Learning, Motivation, and Performance Strategies for Teaching and Coaching CDE Teams

ERIC Educational Resources Information Center

Ball, Anna; Bowling, Amanda; Bird, Will

2016-01-01

This intrinsic case study examined the case of students on CDE (Career Development Event) teams preparing for state competitive events and the teacher preparing them in a school with a previous exemplary track record of winning multiple state and national career development events. The students were interviewed multiple times during the 16-week…

Secure relay selection based on learning with negative externality in wireless networks

NASA Astrophysics Data System (ADS)

Zhao, Caidan; Xiao, Liang; Kang, Shan; Chen, Guiquan; Li, Yunzhou; Huang, Lianfen

2013-12-01

In this paper, we formulate relay selection into a Chinese restaurant game. A secure relay selection strategy is proposed for a wireless network, where multiple source nodes send messages to their destination nodes via several relay nodes, which have different processing and transmission capabilities as well as security properties. The relay selection utilizes a learning-based algorithm for the source nodes to reach their best responses in the Chinese restaurant game. In particular, the relay selection takes into account the negative externality of relay sharing among the source nodes, which learn the capabilities and security properties of relay nodes according to the current signals and the signal history. Simulation results show that this strategy improves the user utility and the overall security performance in wireless networks. In addition, the relay strategy is robust against the signal errors and deviations of some user from the desired actions.

Self-Regulated Strategy Development Instruction for Teaching Multi-Step Equations to Middle School Students Struggling in Math

ERIC Educational Resources Information Center

Cuenca-Carlino, Yojanna; Freeman-Green, Shaqwana; Stephenson, Grant W.; Hauth, Clara

2016-01-01

Six middle school students identified as having a specific learning disability or at risk for mathematical difficulties were taught how to solve multi-step equations by using the self-regulated strategy development (SRSD) model of instruction. A multiple-probe-across-pairs design was used to evaluate instructional effects. Instruction was provided…

All Students Are Not Equal: A Case Study of Geometry Teachers' Instructional Strategies When Trained in Multiple-Intelligence-Based Practices in Secondary Classrooms

ERIC Educational Resources Information Center

Davis, Cassandre Y.

2017-01-01

Over 50% of secondary students failed the geometry end-of-course test in a Florida school district, indicating a need to improve academic performance. Secondary school students' learning characteristics and the effectiveness of teachers' instructional strategies are imperative to educational success. In this qualitative case study, geometry…

Multi-instance learning based on instance consistency for image retrieval

NASA Astrophysics Data System (ADS)

Zhang, Miao; Wu, Zhize; Wan, Shouhong; Yue, Lihua; Yin, Bangjie

2017-07-01

Multiple-instance learning (MIL) has been successfully utilized in image retrieval. Existing approaches cannot select positive instances correctly from positive bags which may result in a low accuracy. In this paper, we propose a new image retrieval approach called multiple instance learning based on instance-consistency (MILIC) to mitigate such issue. First, we select potential positive instances effectively in each positive bag by ranking instance-consistency (IC) values of instances. Then, we design a feature representation scheme, which can represent the relationship among bags and instances, based on potential positive instances to convert a bag into a single instance. Finally, we can use a standard single-instance learning strategy, such as the support vector machine, for performing object-based image retrieval. Experimental results on two challenging data sets show the effectiveness of our proposal in terms of accuracy and run time.

Sex and estrous cycle differences in immediate early gene activation in the hippocampus and the dorsal striatum after the cue competition task.

PubMed

Yagi, Shunya; Drewczynski, Dimka; Wainwright, Steven R; Barha, Cindy K; Hershorn, Olivia; Galea, Liisa A M

2017-01-01

The hippocampus and dorsal striatum are important structures involved in place and response learning strategies respectively. Both sex and estrous cycle phase differences in learning strategy preference exist following cue competition paradigms. Furthermore, significant effects of sex and learning strategy on hippocampal neural plasticity have been reported. However, associations between learning strategy and immediate early gene (IEG) expression in the hippocampus and dorsal striatum are not completely understood. In the current study we investigated the effects of sex and estrous cycle phase on strategy choice and IEG expression in the hippocampus and dorsal striatum of rats following cue competition training in the Morris water maze. We found that proestrous rats were more likely to choose a place strategy than non-proestrous or male rats. Although male cue strategy users travelled greater distances than the other groups on the first day of training, there were no other sex or strategy differences in the ability to reach a hidden or a visible platform. Female place strategy users exhibited greater zif268 expression and male place strategy users exhibited greater cFos expression compared to all other groups in CA3. Furthermore, cue strategy users had greater expression of cFos in the dorsal striatum than place strategy users. Shorter distances to reach a visible platform were associated with less activation of cFos in CA3 and CA1 of male place strategy users. Our findings indicate multiple differences in brain activation with sex and strategy use, despite limited behavioral differences between the sexes on this cue competition paradigm. Copyright © 2016 Elsevier Inc. All rights reserved.

Change Management in Dental Education: A Professional Learning Community.

PubMed

Palatta, Anthony M

2018-06-01

Professional learning communities (PLCs) are defined as "a group of people sharing and critically interrogating their practice in an ongoing, reflective, collaborative, inclusive, learning-oriented, growth-promoting way." PLCs have been found to be an effective change management strategy in business and education when confronted by rapid change. The American Dental Education Association's Commission on Change and Innovation in Dental Education new national program-ADEA CCI 2.0-includes the development of a PLC. By employing an "engage and learn" model PLC centered on continuous quality improvement and systems thinking, dental faculty can identify internal and external barriers to change that could lead to innovative solutions to complex issues. This article argues that a PLC is a viable change management strategy to counteract the effect of multiple external forces impacting dental education and thus to develop future-ready faculty.

Harnessing wake vortices for efficient collective swimming via deep reinfrcement learning

NASA Astrophysics Data System (ADS)

Verma, Siddartha; Novati, Guido; Koumoutsakos, Petros; ChairComputing Science Team

2017-11-01

Collective motion may bestow evolutionary advantages to a number of animal species. Soaring flocks of birds, teeming swarms of insects, and swirling masses of schooling fish, all to some extent enjoy anti-predator benefits, increased foraging success, and enhanced problem-solving abilities. Coordinated activity may also provide energetic benefits, as in the case of large groups of fish where swimmers exploit unsteady flow-patterns generated in the wake. Both experimental and computational investigations of such scenarios are hampered by difficulties associated with studying multiple swimmers. Consequentially, the precise energy-saving mechanisms at play remain largely unknown. We combine high-fidelity numerical simulations of multiple, self propelled swimmers with novel deep reinforcement learning algorithms to discover optimal ways for swimmers to interact with unsteady wakes, in a fully unsupervised manner. We identify optimal flow-interaction strategies devised by the resulting autonomous swimmers, and use it to formulate an effective control-logic. We demonstrate, via 3D simulations of controlled groups that swimmers exploiting the learned strategy exhibit a significant reduction in energy-expenditure. ERC Advanced Investigator Award 341117.

Applying Differentiated Instruction Strategies to Meet the Educational Needs of Students with Disabilities at the High School Level

ERIC Educational Resources Information Center

Bhattacharya, Victoria

2017-01-01

For the inclusive education indicated in the Individuals with Disabilities Education Act (IDEA) to occur at the high school level, teachers must be prepared to teach students with multiple ability levels and learning profiles in one classroom. Since the passage of IDEA, large numbers of students with mild to severe learning needs have been placed…

Cognition before curriculum: rethinking the integration of basic science and clinical learning.

PubMed

Kulasegaram, Kulamakan Mahan; Martimianakis, Maria Athina; Mylopoulos, Maria; Whitehead, Cynthia R; Woods, Nicole N

2013-10-01

Integrating basic science and clinical concepts in the undergraduate medical curriculum is an important challenge for medical education. The health professions education literature includes a variety of educational strategies for integrating basic science and clinical concepts at multiple levels of the curriculum. To date, assessment of this literature has been limited. In this critical narrative review, the authors analyzed literature published in the last 30 years (1982-2012) using a previously published integration framework. They included studies that documented approaches to integration at the level of programs, courses, or teaching sessions and that aimed to improve learning outcomes. The authors evaluated these studies for evidence of successful integration and to identify factors that contribute to integration. Several strategies at the program and course level are well described but poorly evaluated. Multiple factors contribute to successful learning, so identifying how interventions at these levels result in successful integration is difficult. Evidence from session-level interventions and experimental studies suggests that integration can be achieved if learning interventions attempt to link basic and clinical science in a causal relationship. These interventions attend to how learners connect different domains of knowledge and suggest that successful integration requires learners to build cognitive associations between basic and clinical science. One way of understanding the integration of basic and clinical science is as a cognitive activity occurring within learners. This perspective suggests that learner-centered, content-focused, and session-level-oriented strategies can achieve cognitive integration.

Immune allied genetic algorithm for Bayesian network structure learning

NASA Astrophysics Data System (ADS)

Song, Qin; Lin, Feng; Sun, Wei; Chang, KC

2012-06-01

Bayesian network (BN) structure learning is a NP-hard problem. In this paper, we present an improved approach to enhance efficiency of BN structure learning. To avoid premature convergence in traditional single-group genetic algorithm (GA), we propose an immune allied genetic algorithm (IAGA) in which the multiple-population and allied strategy are introduced. Moreover, in the algorithm, we apply prior knowledge by injecting immune operator to individuals which can effectively prevent degeneration. To illustrate the effectiveness of the proposed technique, we present some experimental results.

Improving teaching strategies in an undergraduate community health nursing (CHN) program: implementation of a service-learning preceptor program.

PubMed

Kazemi, Donna; Behan, Jennifer; Boniauto, Maria

2011-08-01

A service-learning component was added to the existing preceptor practicum program at the University of North Carolina Charlotte's School of Nursing (UNCC SON) in the fall of 2007 for nursing students in the community health nursing (CHN) practicum course. The preceptorship model is commonly used in undergraduate nursing education. The aim of this study was to improve teaching strategies in the existing school health nursing (SHN) preceptor program by the addition of a service-learning community partnership. Adding the service-learning component was based on the Polvika model. A total of 27 nursing students and 33 preceptors participated in the study. Percentages, means, standard deviations, and rankings were used to analyze the data. The participants completed a multiple-choice survey and ranked a list of tasks. The students were able to fulfill their task responsibilities, and the service-learning preceptor program was cost effective for the SHN preceptors through hours saved by the nursing students. The preceptor role is associated with many factors, including perceived burden, which affects their willingness to work with students. The findings demonstrated that service learning is an effective teaching strategy in the CHN nursing students' learning by fostering the preceptors' benefits, rewards, support, and commitment to the role. Published by Elsevier Ltd.

Supporting Interactive Teaching Methods at the New Faculty Workshop with Astronomy Lecture-Tutorials

NASA Astrophysics Data System (ADS)

Slater, T. F.; Brissenden, G.; Duestua, S.; Prather, E. E.

2004-05-01

Ongoing research by the Conceptual Astronomy and Physics Education Research (CAPER) Team at the University of Arizona Steward Observatory suggests that, although faculty realize that lecture-based instruction is ineffective for many students, they are not aware of what interactive teaching strategies are available, particularly for large enrollment courses. A major emphasis of the AAPT/AAS New Faculty Workshop was to introduce faculty to effective active-learning strategies based on an understanding of how people learn. Faculty were introduced to think-pair-share methods where students work together to explain difficult concepts to each other. Faculty were also introduced to authentic assessment strategies that go beyond using traditional multiple-choice tests. In particular, faculty were introduced to Lecture-Tutorials for Introductory Astronomy. The Lecture-Tutorials are instructional materials intended for use with collaborative student learning groups and are designed specifically to be easily integrated into existing courses centered on conventional lectures and do not require any outside equipment or a drastic course revision for implementation. The materials are based on research into student beliefs and reasoning difficulties and use effective instructional strategies that center on student learning. Each workshop presentation was complimented by a follow-up small group discussion session.

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…

Pareto fronts for multiobjective optimization design on materials data

NASA Astrophysics Data System (ADS)

Gopakumar, Abhijith; Balachandran, Prasanna; Gubernatis, James E.; Lookman, Turab

Optimizing multiple properties simultaneously is vital in materials design. Here we apply infor- mation driven, statistical optimization strategies blended with machine learning methods, to address multi-objective optimization tasks on materials data. These strategies aim to find the Pareto front consisting of non-dominated data points from a set of candidate compounds with known character- istics. The objective is to find the pareto front in as few additional measurements or calculations as possible. We show how exploration of the data space to find the front is achieved by using uncer- tainties in predictions from regression models. We test our proposed design strategies on multiple, independent data sets including those from computations as well as experiments. These include data sets for Max phases, piezoelectrics and multicomponent alloys.

So, Here's the Story

ERIC Educational Resources Information Center

Columba, Lynn

2013-01-01

Mathematics is about reasoning, patterns, and making sense of things. Children's literature provides a powerful opportunity to foster unique experiences in mathematics learning. Storybooks, thinking strategies, and manipulatives offer a winning combination for mastering multiplication facts based on conceptual ideas and relationships. The most…

Strategies for Teaching in a Block-of-Time Schedule.

ERIC Educational Resources Information Center

Hackmann, Donald G.; Schmitt, Donna M.

1997-01-01

Offers suggestions for developing creative instructional approaches in time-blocked classes. Teachers should continuously engage students in active learning, include group activities to encourage student participation, incorporate activities addressing multiple intelligences, use creative thinking activities, move outside the classroom, employ…

Teaching English as a Foreign Language to Students with Learning Disabilities at the Intermediate and Advanced Levels: A Multiple-Strategies Approach

ERIC Educational Resources Information Center

El-Koumy, Abdel Salam A.

2016-01-01

The idea of this book arose out of an awareness that students with language learning disabilities are completely ignored in the Egyptian school system and there are no special programs that cater to these students. They are placed in normal schools that are not prepared to deal with their unique difficulties. This book, therefore, is an attempt to…

The effect of matching learning styles and instructional strategies on academic achievement and student enjoyment of science lessons in a high school general chemistry course

NASA Astrophysics Data System (ADS)

Fundi, Shaaban Kitindi

This study explored the matching hypothesis by examining the effect of matching students' learning style preferences with teachers' instructional strategies on students' academic performance and lesson enjoyment in a high school general chemistry course. To achieve the study aims, the researcher utilized a single-participant study design with a baseline phase and four treatment phases. Determination of students' learning style preferences involved using the Visual, Audial, Read/Write, and Kinesthetic (VARK) Learning Style Inventory. During the one-week baseline phase, students received instruction using regular instructional strategies, followed by four treatment phases: visual intervention, audial intervention, read/write intervention, and a kinesthetic intervention. Each intervention phase lasted one week. During each phase, the researcher measured academic achievement using three teacher-created quiz scores. Student enjoyment was measured using the Test of Science-Related Attitudes (TOSRA). A total of 14 students completed the VARK Questionnaire. Of these, eight students (2 boys and 6 girls) exhibited a multimodal learning style were subsequently excluded from study participation. An additional student was excluded due to excessive absenteeism, leaving five students who completed all phases of the study. Results indicated that matching students' learning style preferences with teachers' instructional strategies did not improve students' academic performance as measured by teacher-created quizzes. However, weekly switching of the instructional strategies did improve student enjoyment of chemistry lessons. Student enjoyment increased for all participants in all intervention phases regardless of whether or not instruction matched students' learning style preferences compared to baseline phase. The results of this study do not support the matching hypothesis. The students in this study, preferred to learn with multiple teaching strategies. Alternating instructional strategies on a weekly basis did improve enjoyment of science lessons comparing to the multimodal instruction in the baseline which research supports as influential on student academic achievement in science. Future studies should explore how using a variety of teaching strategies could appeal to the wide range of intelligences represented by students in a typical classroom and how this may impact student achievement.

The convergence of neomillennial learning styles and a multi-user virtual environment

NASA Astrophysics Data System (ADS)

Dieterle, Edward Robert, II

Learning styles influenced and cultivated by immersive technologies have spawned a new area of research, "neomillennial" learning styles (NLS). The present study utilizes a quantitative approach, including principal components analysis and multiple regression/correlation analysis, to investigate NLS. Evidence supporting the arguments laid out in this study derives from a sample of 574 middle grades students from urban, suburban, and rural school settings in North America that participated in the River City Project (RCP) in academic year 2006-07. Central to RCP is an immersive simulation for teaching inquiry-based science and 21st century skills, where success is measured across five dimensions: (a) collaboration, (b) science content understanding, (c) self-efficacy in science, (d) self-efficacy in scientific inquiry, and (e) thoughtfulness of inquiry. Besides taking part in RCP, participating students completed an instrument that generates a profile of their NLS. The resulting profile includes measures of students' fluency in multiple media; the extent to which they prefer learning based on collectively seeking, sieving, and synthesizing experiences; and their tendency toward expression through webs of representations. This study revealed that, on average, a student who prefers: (1) engaging tasks that require creative strategies and seeing and doing things in new ways, while avoiding tasks that involve details, is well suited for learning disease transmission and the scientific method in RCP; (2) distributing attention across multiple tasks that have been prioritized will further his or her belief in their ability to do science by participating via RCP whereas the same conditions may undercut a student who avoids distributing attention across multiple tasks that have been prioritized; (3) to read books, magazines, and newspapers by choice and who score high on measures of their general connectedness with the media is well suited for increasing his or her belief in their ability to complete activities common to practicing scientists in RCP; and (4) (a) engaging tasks that require creative strategies, (b) seeing and doing things in new ways, and (c) distributing attention across multiple tasks that have been prioritized is well suited for increasing his or her use of inquiry and reflection when performing science-related activities in RCP.

Using a Delphi Technique to Seek Consensus Regarding Definitions, Descriptions and Classification of Terms Related to Implicit and Explicit Forms of Motor Learning

PubMed Central

Kleynen, Melanie; Braun, Susy M.; Bleijlevens, Michel H.; Lexis, Monique A.; Rasquin, Sascha M.; Halfens, Jos; Wilson, Mark R.; Beurskens, Anna J.; Masters, Rich S. W.

2014-01-01

Background Motor learning is central to domains such as sports and rehabilitation; however, often terminologies are insufficiently uniform to allow effective sharing of experience or translation of knowledge. A study using a Delphi technique was conducted to ascertain level of agreement between experts from different motor learning domains (i.e., therapists, coaches, researchers) with respect to definitions and descriptions of a fundamental conceptual distinction within motor learning, namely implicit and explicit motor learning. Methods A Delphi technique was embedded in multiple rounds of a survey designed to collect and aggregate informed opinions of 49 international respondents with expertise related to motor learning. The survey was administered via an online survey program and accompanied by feedback after each round. Consensus was considered to be reached if ≥70% of the experts agreed on a topic. Results Consensus was reached with respect to definitions of implicit and explicit motor learning, and seven common primary intervention strategies were identified in the context of implicit and explicit motor learning. Consensus was not reached with respect to whether the strategies promote implicit or explicit forms of learning. Discussion The definitions and descriptions agreed upon may aid translation and transfer of knowledge between domains in the field of motor learning. Empirical and clinical research is required to confirm the accuracy of the definitions and to explore the feasibility of the strategies that were identified in research, everyday practice and education. PMID:24968228

A learning setup for a post-coma adolescent with profound multiple disabilities involving small forehead movements and new microswitch technology.

PubMed

Lancioni, Giulio E; Singh, Nirbhay N; O'Reilly, Mark F; Sigafoos, Jeff; Didden, Robert; Oliva, Doretta; Calzolari, Cinzia; Montironi, Gianluigi

2007-09-01

A learning setup was arranged for an adolescent with profound multiple disabilities and a diagnosis of vegetative state. Signs of learning by the adolescent would underline an improvement in his immediate situation with potential implications for his general prospect, and could help revise his diagnosis. The response adopted in the learning setup was forehead skin movement. The microswitch technology used for detecting such a response consisted of (a) an optic sensor (i.e., barcode reader), (b) a small tag with horizontal bars attached to the participant's forehead, and (c) an electronic control system that activated stimuli in relation to the participant's forehead responses. The study followed an ABABACAB sequence, in which A represented baseline periods, B intervention periods with stimuli contingent on the response, and C a control condition with stimuli presented non-contingently. Data showed that the level of responding during the B phases was significantly higher than the levels observed during the A phases as well as the C phase, indicating clear signs of learning. Intervention strategies based on a learning format and suitable technology might be useful to improve the situation and prospect of persons with profound multiple disabilities and a diagnosis of vegetative state.

Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems.

PubMed

Yu, Xiang; Zhang, Xueqing

2017-01-01

Comprehensive learning particle swarm optimization (CLPSO) is a powerful state-of-the-art single-objective metaheuristic. Extending from CLPSO, this paper proposes multiswarm CLPSO (MSCLPSO) for multiobjective optimization. MSCLPSO involves multiple swarms, with each swarm associated with a separate original objective. Each particle's personal best position is determined just according to the corresponding single objective. Elitists are stored externally. MSCLPSO differs from existing multiobjective particle swarm optimizers in three aspects. First, each swarm focuses on optimizing the associated objective using CLPSO, without learning from the elitists or any other swarm. Second, mutation is applied to the elitists and the mutation strategy appropriately exploits the personal best positions and elitists. Third, a modified differential evolution (DE) strategy is applied to some extreme and least crowded elitists. The DE strategy updates an elitist based on the differences of the elitists. The personal best positions carry useful information about the Pareto set, and the mutation and DE strategies help MSCLPSO discover the true Pareto front. Experiments conducted on various benchmark problems demonstrate that MSCLPSO can find nondominated solutions distributed reasonably over the true Pareto front in a single run.

Strategy, Theory, Tactical Possibilities and the Design of Amphibious Concepts

DTIC Science & Technology

2012-05-17

the process of learning and pierce the veil of uncertainty that lies between the protagonists, a gambit must be made—sufficient energy must be...non-military means was again challenging amphibious operations advocates.34 From 1990 – 2010, the Marine Corps conducted approximately 104...power for political ends by using multiple means and approaches to attack multiple centers of gravity and thus collapse an adversary’s system. The

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

PubMed

Nuwagaba, Ephraim L; Rule, Peter N

2016-01-01

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. 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. 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. 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. 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.

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

Classroom sound can be used to classify teaching practices in college science courses

PubMed Central

Seidel, Shannon B.; Wong, Mike; Bejines, Travis E.; Lietz, Susanne; Perez, Joseph R.; Sit, Shangheng; Subedar, Zahur-Saleh; Acker, Gigi N.; Akana, Susan F.; Balukjian, Brad; Benton, Hilary P.; Blair, J. R.; Boaz, Segal M.; Boyer, Katharyn E.; Bram, Jason B.; Burrus, Laura W.; Byrd, Dana T.; Caporale, Natalia; Carpenter, Edward J.; Chan, Yee-Hung Mark; Chen, Lily; Chovnick, Amy; Chu, Diana S.; Clarkson, Bryan K.; Cooper, Sara E.; Creech, Catherine; Crow, Karen D.; de la Torre, José R.; Denetclaw, Wilfred F.; Duncan, Kathleen E.; Edwards, Amy S.; Erickson, Karen L.; Fuse, Megumi; Gorga, Joseph J.; Govindan, Brinda; Green, L. Jeanette; Hankamp, Paul Z.; Harris, Holly E.; He, Zheng-Hui; Ingalls, Stephen; Ingmire, Peter D.; Jacobs, J. Rebecca; Kamakea, Mark; Kimpo, Rhea R.; Knight, Jonathan D.; Krause, Sara K.; Krueger, Lori E.; Light, Terrye L.; Lund, Lance; Márquez-Magaña, Leticia M.; McCarthy, Briana K.; McPheron, Linda J.; Miller-Sims, Vanessa C.; Moffatt, Christopher A.; Muick, Pamela C.; Nagami, Paul H.; Nusse, Gloria L.; Okimura, Kristine M.; Pasion, Sally G.; Patterson, Robert; Riggs, Blake; Romeo, Joseph; Roy, Scott W.; Russo-Tait, Tatiane; Schultheis, Lisa M.; Sengupta, Lakshmikanta; Small, Rachel; Spicer, Greg S.; Stillman, Jonathon H.; Swei, Andrea; Wade, Jennifer M.; Waters, Steven B.; Weinstein, Steven L.; Willsie, Julia K.; Wright, Diana W.; Harrison, Colin D.; Kelley, Loretta A.; Trujillo, Gloriana; Domingo, Carmen R.; Schinske, Jeffrey N.; Tanner, Kimberly D.

2017-01-01

Active-learning pedagogies have been repeatedly demonstrated to produce superior learning gains with large effect sizes compared with lecture-based pedagogies. Shifting large numbers of college science, technology, engineering, and mathematics (STEM) faculty to include any active learning in their teaching may retain and more effectively educate far more students than having a few faculty completely transform their teaching, but the extent to which STEM faculty are changing their teaching methods is unclear. Here, we describe the development and application of the machine-learning–derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers. DART analyzes the volume and variance of classroom recordings to predict the quantity of time spent on single voice (e.g., lecture), multiple voice (e.g., pair discussion), and no voice (e.g., clicker question thinking) activities. Applying DART to 1,486 recordings of class sessions from 67 courses, a total of 1,720 h of audio, revealed varied patterns of lecture (single voice) and nonlecture activity (multiple and no voice) use. We also found that there was significantly more use of multiple and no voice strategies in courses for STEM majors compared with courses for non-STEM majors, indicating that DART can be used to compare teaching strategies in different types of courses. Therefore, DART has the potential to systematically inventory the presence of active learning with ∼90% accuracy across thousands of courses in diverse settings with minimal effort. PMID:28265087

Students awareness of learning styles and their perceptions to a mixed method approach for learning.

PubMed

Bhagat, Anumeha; Vyas, Rashmi; Singh, Tejinder

2015-08-01

Individualization of instructional method does not contribute significantly to learning outcomes although it is known that students have differing learning styles (LSs). Hence, in order to maximally enhance learning, one must try to use a mixed method approach. Our hypothesis was that awareness of preferred LS and motivation to incorporate multiple learning strategies might enhance learning outcomes. Our aim was to determine the impact of awareness of LS among medical undergraduates and motivating students to use mixed methods of learning. Before awareness lecture, LS preferences were determined using Visual, Aural, Read/Write, and Kinesthetic (VARK) questionnaire. Awareness of LS was assessed using a validated questionnaire. Through a lecture, students were oriented to various LSs, impact of LS on their performance, and benefit of using mixed method approach for learning. Subsequently, group discussions were organized. After 3 months, VARK preferences and awareness of LSs were reassessed. Student narratives were collected. Qualitative analysis of the data was done. There was a significant increase in the number of students who were aware of LS. The number of participants showing a change in VARK scores for various modalities of learning was also significant (P < 0.001). Thus, awareness of LSs motivated students to adapt other learning strategies and use mixed methods for learning.

Evaluation of Multiple Kernel Learning Algorithms for Crop Mapping Using Satellite Image Time-Series Data

NASA Astrophysics Data System (ADS)

Niazmardi, S.; Safari, A.; Homayouni, S.

2017-09-01

Crop mapping through classification of Satellite Image Time-Series (SITS) data can provide very valuable information for several agricultural applications, such as crop monitoring, yield estimation, and crop inventory. However, the SITS data classification is not straightforward. Because different images of a SITS data have different levels of information regarding the classification problems. Moreover, the SITS data is a four-dimensional data that cannot be classified using the conventional classification algorithms. To address these issues in this paper, we presented a classification strategy based on Multiple Kernel Learning (MKL) algorithms for SITS data classification. In this strategy, initially different kernels are constructed from different images of the SITS data and then they are combined into a composite kernel using the MKL algorithms. The composite kernel, once constructed, can be used for the classification of the data using the kernel-based classification algorithms. We compared the computational time and the classification performances of the proposed classification strategy using different MKL algorithms for the purpose of crop mapping. The considered MKL algorithms are: MKL-Sum, SimpleMKL, LPMKL and Group-Lasso MKL algorithms. The experimental tests of the proposed strategy on two SITS data sets, acquired by SPOT satellite sensors, showed that this strategy was able to provide better performances when compared to the standard classification algorithm. The results also showed that the optimization method of the used MKL algorithms affects both the computational time and classification accuracy of this strategy.

Multiple goals, writing strategies, and written outcomes for college students learning English as a second language.

PubMed

He, Tung-Hsien; Chang, Shan-Mao; Chen, Shu-Hui Eileen

2011-04-01

This study examined relations of achievement goals of writers who are speakers of English as a foreign language (EFL), the frequency of their writing strategy use, and the quality of their writing from a multiple goals perspective. The goal profiles of 57 EFL college students with similar writing proficiency were based on rating items of an unpublished scale; Group 1 had strong mastery and strong performance-approach goals, and two groups included students with only one strong mastery (Group 2) or performance (Group 3) goal. Think-aloud protocols indicated that the participants adopted 21 strategies in an argumentative writing task, classified into five categories. Group 1 was found to use writing strategies of monitoring or evaluating, revising, and compensating significantly more often than the other two groups, and produced better essays. Strong mastery and performance-approach goals might be beneficial for EFL college writers.

Problem solving performance and learning strategies of undergraduate students who solved microbiology problems using IMMEX educational software

NASA Astrophysics Data System (ADS)

Ebomoyi, Josephine Itota

The objectives of this study were as follows: (1) Determine the relationship between learning strategies and performance in problem solving, (2) Explore the role of a student's declared major on performance in problem solving, (3) Understand the decision making process of high and low achievers during problem solving. Participants (N = 65) solved problems using the Interactive multimedia exercise (IMMEX) software. All participants not only solved "Microquest," which focuses on cellular processes and mode of action of antibiotics, but also "Creeping Crud," which focuses on the cause, origin and transmission of diseases. Participants also responded to the "Motivated Strategy Learning Questionnaire" (MSLQ). Hierarchical multiple regression was used for analysis with GPA (Gracie point average) as a control. There were 49 (78.6%) that successfully solved "Microquest" while 52 (82.5%) successfully solved "Creeping Crud". Metacognitive self regulation strategy was significantly (p < .10) related to ability to solve "Creeping Crud". Peer learning strategy showed a positive significant (p < .10) relationship with scores obtained from solving "Creeping Crud". Students' declared major made a significant (p < .05) difference on the ability to solve "Microquest". A subset (18) volunteered for a think aloud method to determine decision-making process. High achievers used fewer steps, and had more focused approach than low achievers. Common strategies and attributes included metacognitive skills, writing to keep track, using prior knowledge. Others included elements of frustration/confusion and self-esteem problems. The implications for educational and relevance to real life situations are discussed.

Teaching & Learning through Multiple Intelligences.

ERIC Educational Resources Information Center

Campbell, Linda; Campbell, Bruce; Dickinson, Dee

In his studies of human capacity, Howard Gardner revealed a wider family of human intelligences than previously suggested. Noting that restricting educational programs to focusing on a preponderance of linguistic and mathematical intelligences minimizes the importance of other forms of knowing, this book presents strategies for creating open…

Recognition of multiple imbalanced cancer types based on DNA microarray data using ensemble classifiers.

PubMed

Yu, Hualong; Hong, Shufang; Yang, Xibei; Ni, Jun; Dan, Yuanyuan; Qin, Bin

2013-01-01

DNA microarray technology can measure the activities of tens of thousands of genes simultaneously, which provides an efficient way to diagnose cancer at the molecular level. Although this strategy has attracted significant research attention, most studies neglect an important problem, namely, that most DNA microarray datasets are skewed, which causes traditional learning algorithms to produce inaccurate results. Some studies have considered this problem, yet they merely focus on binary-class problem. In this paper, we dealt with multiclass imbalanced classification problem, as encountered in cancer DNA microarray, by using ensemble learning. We utilized one-against-all coding strategy to transform multiclass to multiple binary classes, each of them carrying out feature subspace, which is an evolving version of random subspace that generates multiple diverse training subsets. Next, we introduced one of two different correction technologies, namely, decision threshold adjustment or random undersampling, into each training subset to alleviate the damage of class imbalance. Specifically, support vector machine was used as base classifier, and a novel voting rule called counter voting was presented for making a final decision. Experimental results on eight skewed multiclass cancer microarray datasets indicate that unlike many traditional classification approaches, our methods are insensitive to class imbalance.

Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach

PubMed Central

Ding, Fangyu; Ge, Quansheng; Fu, Jingying; Hao, Mengmeng

2017-01-01

Terror events can cause profound consequences for the whole society. Finding out the regularity of terrorist attacks has important meaning for the global counter-terrorism strategy. In the present study, we demonstrate a novel method using relatively popular and robust machine learning methods to simulate the risk of terrorist attacks at a global scale based on multiple resources, long time series and globally distributed datasets. Historical data from 1970 to 2015 was adopted to train and evaluate machine learning models. The model performed fairly well in predicting the places where terror events might occur in 2015, with a success rate of 96.6%. Moreover, it is noteworthy that the model with optimized tuning parameter values successfully predicted 2,037 terrorism event locations where a terrorist attack had never happened before. PMID:28591138

Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach.

PubMed

Ding, Fangyu; Ge, Quansheng; Jiang, Dong; Fu, Jingying; Hao, Mengmeng

2017-01-01

Terror events can cause profound consequences for the whole society. Finding out the regularity of terrorist attacks has important meaning for the global counter-terrorism strategy. In the present study, we demonstrate a novel method using relatively popular and robust machine learning methods to simulate the risk of terrorist attacks at a global scale based on multiple resources, long time series and globally distributed datasets. Historical data from 1970 to 2015 was adopted to train and evaluate machine learning models. The model performed fairly well in predicting the places where terror events might occur in 2015, with a success rate of 96.6%. Moreover, it is noteworthy that the model with optimized tuning parameter values successfully predicted 2,037 terrorism event locations where a terrorist attack had never happened before.

Framing Progress In Global Tobacco Control To Inform Action On Noncommunicable Diseases.

PubMed

Wipfli, Heather L; Samet, Jonathan

2015-09-01

Much has been learned about the tobacco epidemic, including its consequences, effective measures to control it, and the actors involved. This article identifies lessons learned that are applicable to the other principal external causes of noncommunicable diseases: alcohol abuse, poor nutrition, and physical inactivity. Among these lessons are the development of evidence-based strategies such as proven cessation methods, tax increases, and smoke-free policies; the role of multinational corporations in maintaining markets and undermining control measures; and the need for strategies that reach across the life course and that begin with individuals and extend to higher levels of societal organization. Differences are also clear. Tobacco products are relatively homogeneous and have no direct benefit to consumers, whereas food and alcohol consumed in moderation are not inherently dangerous. Some tobacco-related diseases have the singular predominant cause of smoking, while many noncommunicable diseases have multiple interlocking causes such as poor diet, excess alcohol consumption, insufficient physical activity, and smoking, along with genetics. Thus, the tobacco control model of comprehensive multilevel strategies is applicable to the control of noncommunicable diseases, but the focus must be on multiple risk factors. Project HOPE—The People-to-People Health Foundation, Inc.

Learning to improve iterative repair scheduling

NASA Technical Reports Server (NTRS)

Zweben, Monte; Davis, Eugene

1992-01-01

This paper presents a general learning method for dynamically selecting between repair heuristics in an iterative repair scheduling system. The system employs a version of explanation-based learning called Plausible Explanation-Based Learning (PEBL) that uses multiple examples to confirm conjectured explanations. The basic approach is to conjecture contradictions between a heuristic and statistics that measure the quality of the heuristic. When these contradictions are confirmed, a different heuristic is selected. To motivate the utility of this approach we present an empirical evaluation of the performance of a scheduling system with respect to two different repair strategies. We show that the scheduler that learns to choose between the heuristics outperforms the same scheduler with any one of two heuristics alone.

A formative evaluation of problem-based learning as an instructional strategy in a medical laboratory technician course

NASA Astrophysics Data System (ADS)

Nelson, Diane Patricia

2002-09-01

This study is a formative evaluation of problem-based learning as an effective course delivery strategy in a second year introductory Medical Laboratory Technician discipline-specific hematology course. This strategy can serve two purposes in this type of course: discipline specific content knowledge and process skills learning. A needs study identified that students required additional workplace skills as they entered the clinical internship. Students tested well on the national registry examinations, discipline-specific content knowledge, but group process skills needed improvement in the areas of collaboration, communication, and critical reasoning. Problem-based learning was identified as an change intervention to help provide these skills. A search of the literature revealed that the Baker College cultural and physical environment would support this intervention. Twelve cases were written, situated in a clinical laboratory environment, addressing learning issues identified in a modified Delphi survey of laboratory personnel e.g. fiscal responsibility, turn-around time, invasiveness of laboratory techniques, and holistic view of healthcare environment. A hematology class of 13 students received the intervention. The cases were structured to proceed from instructor-centered (guided) learning issues to learner-centered learning issues. Observations of the in-group collaboration processes were documented, as well as oral presentations and critical reasoning, with students given periodic feedback on these skills. Student surveys provided data about satisfaction, attitude to PBL process, and self-efficacy. Multiple choice discipline-specific content examinations were given and compared with classes from the previous four years. The study found that students receiving the PBL treatment scored as well as or better than students from previous years on traditional multiple choice exams. Recall questions showed positive significance and application/analysis questions showed no significance from previous years. Clinical correlations end-of-case evaluations addressing the issues of thoroughness of investigation, supporting evidence, accuracy of information, order and clarity of thought showed positive improvement across the intervention, as did the PBL processes of in-group collaboration skills, teamwork skills, and presentation skills. By the end of the intervention, students expressed preference for student-centered learning issues.

The role of selective attention and action selection in the development of multiple action capabilities

NASA Astrophysics Data System (ADS)

Simione, Luca; Nolfi, Stefano

2014-10-01

In this paper we illustrate how the capacity to select the most appropriate actions when handling contexts affording multiple conflicting actions can be solved either through a selective attention strategy (in which the stimuli affording alternative actions are filtered out at the perceptual level through top-down regulation) or at later processing stages through an action selection strategy (through the suppression of the premotor information eliciting alternative actions). By carrying out a series of experiments in which a neuro-robot develops an ability to choose between conflicting actions, we were able to identify the conditions that lead to the development of solutions based on one strategy or another. Overall, the results indicate that the selective attention strategy constitutes the most simple and straightforward mechanism enabling the acquisition of such capacities. Moreover, the characteristics of the adaptive/learning process influence whether the adaptive robot converges towards a selective attention and/or action selection strategy.

Embedding Multiple Literacies into STEM Curricula

ERIC Educational Resources Information Center

Soules, Aline; Nielsen, Sarah; LeDuc, Danika; Inouye, Caron; Singley, Jason; Wildy, Erica; Seitz, Jeff

2014-01-01

In fall 2012, an interdisciplinary team of science, English, and library faculty embedded reading, writing, and information literacy strategies in Science, Technology, Engineering, and Mathematics (STEM) curricula as a first step in improving student learning and retention in science courses and aligning them with the Next Generation Science and…

That Entrepreneurial Spirit

ERIC Educational Resources Information Center

Lum, Lydia

2012-01-01

When Tim Clevenger became executive director of the University of Oregon Alumni Association in 2011, he was dismayed to learn that revenue, including paid memberships, was steadily declining. The association staff and board of directors considered multiple strategies to boost earnings, with stabilizing and growing dues revenue high on the list.…

Strengthening Elementary School Bully Prevention with Bibliotherapy

ERIC Educational Resources Information Center

Heath, Melissa Allen; Moulton, Emily; Dyches, Tina Taylor; Prater, Mary Anne; Brown, Alec

2011-01-01

The consequences of bullying are both widespread and severe. It disrupts learning, threatens school safety, and poses long-term emotional repercussions for bullies, victims, and bystanders. Although multiple strategies have targeted bullying, bullying must be understood within a social contextual framework beyond the bully-victim dyad. Davis and…

Significance of Epistemological Beliefs for Teaching and Learning Psychology: A Review

ERIC Educational Resources Information Center

Green, Heather J.; Hood, Michelle

2013-01-01

Beliefs about the nature of knowledge, termed "epistemological beliefs", are relevant to understanding educational strategies of both learners and teachers. Epistemological beliefs arguably have particular relevance in the discipline and profession of psychology, due to an emphasis on integration of knowledge from multiple theoretical…

Sentry Assurance: Bringing Outsiders "In."

ERIC Educational Resources Information Center

Lease, Judy E.

1998-01-01

Presents a case study for use in business communication classes to help students understand and learn both the context and the strategies for communication with business and management. Deals with multiple problems caused by the rapid expansion of an insurance brokerage, including gender issues, clarification of responsibilities and roles, and…

Digital Reenactments: Using Green Screen Technology to Recreate the Past

ERIC Educational Resources Information Center

Sheffield, Caroline C.; Swan, Stephen B.

2012-01-01

Historical reenactments are a frequently utilized active learning strategy that encourages students to engage in historical thinking. They require students to critically read and synthesize information, consider multiple perspectives, and write a coherent narrative demonstrating an understanding of the time period, event, and the individuals…

Task demand influences relationships among sex, clustering strategy, and recall: 16-word versus 9-word list learning tests.

PubMed

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

2013-06-01

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). 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. 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. 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. 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.

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

Place and response learning in human virtual navigation: behavioral measures and gender differences.

PubMed

Schmitzer-Torbert, Neil

2007-04-01

Two experiments examined the use of place and response strategies by humans navigating virtual multiple T mazes. In Experiment 1, probe trials revealed that participants commonly used place and response strategies, and place strategies were more frequent early in training, whereas response strategies were more frequent late in training. Compared with women, men learned the correct path through the maze more quickly and developed a more stable route through the maze. In Experiment 2, participants were trained to locate 2 targets. One target required participants to use either a place or response strategy, whereas the other target could be found using either strategy. Accuracy improved faster for place training compared with response training, and women outperformed men in both groups. Probe trials testing transfer of the imposed strategy to the other target found faster transfer for place training than for response training and that women demonstrated faster transfer than men. Accuracy on probe trials was correlated with poor route stability in the place-trained group and with good route stability in the response-trained group, indicating that navigation strategy use may be related to measures of improvement in performance on normal trials. (c) 2007 APA, all rights reserved

Co-Labeling for Multi-View Weakly Labeled Learning.

PubMed

Xu, Xinxing; Li, Wen; Xu, Dong; Tsang, Ivor W

2016-06-01

It is often expensive and time consuming to collect labeled training samples in many real-world applications. To reduce human effort on annotating training samples, many machine learning techniques (e.g., semi-supervised learning (SSL), multi-instance learning (MIL), etc.) have been studied to exploit weakly labeled training samples. Meanwhile, when the training data is represented with multiple types of features, many multi-view learning methods have shown that classifiers trained on different views can help each other to better utilize the unlabeled training samples for the SSL task. In this paper, we study a new learning problem called multi-view weakly labeled learning, in which we aim to develop a unified approach to learn robust classifiers by effectively utilizing different types of weakly labeled multi-view data from a broad range of tasks including SSL, MIL and relative outlier detection (ROD). We propose an effective approach called co-labeling to solve the multi-view weakly labeled learning problem. Specifically, we model the learning problem on each view as a weakly labeled learning problem, which aims to learn an optimal classifier from a set of pseudo-label vectors generated by using the classifiers trained from other views. Unlike traditional co-training approaches using a single pseudo-label vector for training each classifier, our co-labeling approach explores different strategies to utilize the predictions from different views, biases and iterations for generating the pseudo-label vectors, making our approach more robust for real-world applications. Moreover, to further improve the weakly labeled learning on each view, we also exploit the inherent group structure in the pseudo-label vectors generated from different strategies, which leads to a new multi-layer multiple kernel learning problem. Promising results for text-based image retrieval on the NUS-WIDE dataset as well as news classification and text categorization on several real-world multi-view datasets clearly demonstrate that our proposed co-labeling approach achieves state-of-the-art performance for various multi-view weakly labeled learning problems including multi-view SSL, multi-view MIL and multi-view ROD.

Learning With E-books and Project-based Strategy in a Community Health Nursing Course.

PubMed

Sung, Tien-Wen; Wu, Ting-Ting

2018-03-01

With advances in information technology, "information-assisted instruction" has been gradually introduced to nursing education curricula. Specifically, the integration of an e-book system can effectively enhance nursing students' attention and interest. Most studies on nursing education that incorporated e-books have focused on the advantages of convenience and assistance provided by e-books. Few studies have addressed community health nursing and off-campus practice activities in relation to suitable teaching strategies for learning activities. This study involved designing and planning a multimedia e-book learning system with a project-based learning activity that conforms to the curriculum and practical requirements of a community health nursing course. The purpose was to reduce the gap between theory and practice and realize an effective learning process. For learning evaluations, a final examination analysis with an independent sample t test; a scoring scheme with intrateam, interteam, and expert ratings; and Bloom's taxonomy-based analysis were conducted. The evaluation results indicated that the comprehension and learning abilities of the experimental group using the e-book system with a mobile device were effectively improved. In addition, the exploratory process involved in project-based learning can develop multiple cognitive skills and problem-solving ability, thereby realizing effective learning.

The effect of learning style on academic student success

NASA Astrophysics Data System (ADS)

Stackhouse, Omega N.

The problem addressed in this study was that little was known about the impact on student academic achievement, when grouped by learning style, in a multiple intelligence based science curriculum. The larger problem was that many students were frequently unengaged and, consequently, low achieving in their science courses. This quantitative study used an ex post facto research design to better understand the impact of student learning style on the academic success of students in a Multiple Intelligence Theory based course room. Gardner's work on Multiple Intelligence served as the conceptual framework for this study. The research question for this study asked if academic instruction that employs multiple intelligence theories has a relationship with students' academic achievement differently according to their learning style group (auditory, visual, and kinesthetic). Existing data from 85 students were placed into 1 of 3 groups: (a) Auditory, (b) Visual, or (c) Kinesthetic Learning Style) using existing data from a student inventory instrument. The independent variable was existing data from student inventories of learning style and the dependent variable was existing student scores from the Physical Science End of Course Test. Existing data were taken from students that were all taught with the same strategies in similar classroom environments. The Physical Science End of Course Test was developed with stringent measures to protect validity by the developer, McGraw-Hill. Cronbach's Alpha was conducted to determine the internal reliability coefficient of the student inventory. The impact for social change is that adding to the body of knowledge regarding student learning style and science curriculum provides valuable information for teachers, administrators, and school policy makers. This will allow teachers to better prepare to engage their students' and to prepare them for their place in society.

Impaired sequential and partially compensated probabilistic skill learning in Parkinson's disease.

PubMed

Kemény, Ferenc; Demeter, Gyula; Racsmány, Mihály; Valálik, István; Lukács, Ágnes

2018-06-08

The striatal dopaminergic dysfunction in Parkinson's disease (PD) has been associated with deficits in skill learning in numerous studies, but some of the findings remain controversial. Our aim was to explore the generality of the learning deficit using two widely reported skill learning tasks in the same group of Parkinson's patients. Thirty-four patients with PD (mean age: 62.83 years, SD: 7.67) were compared to age-matched healthy adults. Two tasks were employed: the Serial Reaction Time Task (SRT), testing the learning of motor sequences, and the Weather Prediction (WP) task, testing non-sequential probabilistic category learning. On the SRT task, patients with PD showed no significant evidence for sequence learning. These results support and also extend previous findings, suggesting that motor skill learning is vulnerable in PD. On the WP task, the PD group showed the same amount of learning as controls, but they exploited qualitatively different strategies in predicting the target categories. While controls typically combined probabilities from multiple predicting cues, patients with PD instead focused on individual cues. We also found moderate to high correlations between the different measures of skill learning. These findings support our hypothesis that skill learning is generally impaired in PD, and can in some cases be compensated by relying on alternative learning strategies. © 2018 The Authors. Journal of Neuropsychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.

Students awareness of learning styles and their perceptions to a mixed method approach for learning

PubMed Central

Bhagat, Anumeha; Vyas, Rashmi; Singh, Tejinder

2015-01-01

Background: Individualization of instructional method does not contribute significantly to learning outcomes although it is known that students have differing learning styles (LSs). Hence, in order to maximally enhance learning, one must try to use a mixed method approach. Hypothesis: Our hypothesis was that awareness of preferred LS and motivation to incorporate multiple learning strategies might enhance learning outcomes. Aim: Our aim was to determine the impact of awareness of LS among medical undergraduates and motivating students to use mixed methods of learning. Materials and Methods: Before awareness lecture, LS preferences were determined using Visual, Aural, Read/Write, and Kinesthetic (VARK) questionnaire. Awareness of LS was assessed using a validated questionnaire. Through a lecture, students were oriented to various LSs, impact of LS on their performance, and benefit of using mixed method approach for learning. Subsequently, group discussions were organized. After 3 months, VARK preferences and awareness of LSs were reassessed. Student narratives were collected. Qualitative analysis of the data was done. Results: There was a significant increase in the number of students who were aware of LS. The number of participants showing a change in VARK scores for various modalities of learning was also significant (P < 0.001). Conclusion: Thus, awareness of LSs motivated students to adapt other learning strategies and use mixed methods for learning. PMID:26380214

A neurocomputational theory of how explicit learning bootstraps early procedural learning.

PubMed

Paul, Erick J; Ashby, F Gregory

2013-01-01

It is widely accepted that human learning and memory is mediated by multiple memory systems that are each best suited to different requirements and demands. Within the domain of categorization, at least two systems are thought to facilitate learning: an explicit (declarative) system depending largely on the prefrontal cortex, and a procedural (non-declarative) system depending on the basal ganglia. Substantial evidence suggests that each system is optimally suited to learn particular categorization tasks. However, it remains unknown precisely how these systems interact to produce optimal learning and behavior. In order to investigate this issue, the present research evaluated the progression of learning through simulation of categorization tasks using COVIS, a well-known model of human category learning that includes both explicit and procedural learning systems. Specifically, the model's parameter space was thoroughly explored in procedurally learned categorization tasks across a variety of conditions and architectures to identify plausible interaction architectures. The simulation results support the hypothesis that one-way interaction between the systems occurs such that the explicit system "bootstraps" learning early on in the procedural system. Thus, the procedural system initially learns a suboptimal strategy employed by the explicit system and later refines its strategy. This bootstrapping could be from cortical-striatal projections that originate in premotor or motor regions of cortex, or possibly by the explicit system's control of motor responses through basal ganglia-mediated loops.

Strategic memory in adults with anorexia nervosa: are there similarities to obsessive compulsive spectrum disorders?

PubMed

Sherman, Bonnie J; Savage, Cary R; Eddy, Kamryn T; Blais, Mark A; Deckersbach, Thilo; Jackson, Safia C; Franko, Debra L; Rauch, Scott L; Herzog, David B

2006-09-01

There is growing interest in the relationship between anorexia nervosa (AN) and obsessive-compulsive (OC) spectrum disorders (e.g., OCD, body dysmorphic disorder [BDD]). Previous neuropsychological investigations of OC spectrum disorders have identified problems with the efficient use of strategy on complex measures of learning and memory. This study evaluated nonverbal strategic memory in AN outpatients using an approach previously applied to OC spectrum disorders. Eighteen patients with AN and 19 healthy control participants completed the Rey-Osterrieth Complex Figure Test (RCFT), a widely used measure of nonverbal strategic planning, learning, and memory. Individuals with AN differed significantly from healthy controls in the organizational strategies used to copy the RCFT figure, and they recalled significantly less information on both immediate and delayed testing. Multiple regression analyses indicated that group differences in learning were mediated by copy organizational strategies. These results are identical to study findings in OCD and BDD, indicating important shared neuropsychological features among AN and these OC spectrum disorders. As in OCD and BDD, the essential cognitive deficit in AN was impaired use of organizational strategies, which may inform our understanding of the pathophysiology of AN and potentially offer treatment implications. Copyright (c) 2006 by Wiley Periodicals, Inc.

Learner-Centered Environments: Creating Effective Strategies Based on Student Attitudes and Faculty Reflection

ERIC Educational Resources Information Center

Bishop, Catharine F.; Caston, Michael I.; King, Cheryl A.

2014-01-01

Learner-centered environments effectively implement multiple teaching techniques to enhance students' higher education experience and provide them with greater control over their academic learning. This qualitative study involves an exploration of the eight reasons for learner-centered teaching found in Terry Doyle's 2008 book, "Helping…

New Options for the Modern Student. Info Brief. Number 50

ERIC Educational Resources Information Center

Eaton, Elizabeth; Nelson, Anne

2007-01-01

This issue of "Infobrief" concludes the exploration into the potential for high school reform in the United States. Earlier issues defined five components of an Association for Supervision and Curriculum Development (ASCD) proposal to effect reform: (1) multiple measures of assessment; (2) personalized learning strategies; (3) new models of…

Using Scenarios and Simulations to Plan Colleges

ERIC Educational Resources Information Center

McIntyre, Chuck

2004-01-01

Using a case study, this article describes a method by which higher education institutions construct and use multiple future scenarios and simulations to plan strategically: to create visions of their futures, chart broad directions (mission and goals), and select learning and delivery strategies so as to achieve those broad directions. The…

Effects of Environmental and Instructional Factors on Student Motivation and Self-Directed Learning

ERIC Educational Resources Information Center

Burkhalter, Anne D.

2014-01-01

This study analyzed the impact of parent involvement and integration of multiple intelligences strategies in classroom instruction on student motivation and academic achievement. The population for this study comprised of 13 elementary students receiving special education services. Parent involvement was developed and supported through weekly home…

A Comparison of Two Mathematics Problem-Solving Strategies: Facilitate Algebra-Readiness

ERIC Educational Resources Information Center

Xin, Yan Ping; Zhang, Dake; Park, Joo Young; Tom, Kinsey; Whipple, Amanda; Si, Luo

2011-01-01

The authors compared a conceptual model-based problem-solving (COMPS) approach with a general heuristic instructional approach for teaching multiplication-division word-problem solving to elementary students with learning problems (LP). The results indicate that only the COMPS group significantly improved, from pretests to posttests, their…

High School Reform: It's About Time. Info Brief. Number 48

ERIC Educational Resources Information Center

Nelson, Anne

2007-01-01

This "Infobrief" explores the five key components of ASCD's High School Reform Proposal: (1) multiple measures of assessment; (2) personalized learning strategies; (3) flexible use of time and structure; (4) new professional development models for teachers and school leadership; and (5) business and community engagement. Each of these components…

Multiple kernel based feature and decision level fusion of iECO individuals for explosive hazard detection in FLIR imagery

NASA Astrophysics Data System (ADS)

Price, Stanton R.; Murray, Bryce; Hu, Lequn; Anderson, Derek T.; Havens, Timothy C.; Luke, Robert H.; Keller, James M.

2016-05-01

A serious threat to civilians and soldiers is buried and above ground explosive hazards. The automatic detection of such threats is highly desired. Many methods exist for explosive hazard detection, e.g., hand-held based sensors, downward and forward looking vehicle mounted platforms, etc. In addition, multiple sensors are used to tackle this extreme problem, such as radar and infrared (IR) imagery. In this article, we explore the utility of feature and decision level fusion of learned features for forward looking explosive hazard detection in IR imagery. Specifically, we investigate different ways to fuse learned iECO features pre and post multiple kernel (MK) support vector machine (SVM) based classification. Three MK strategies are explored; fixed rule, heuristics and optimization-based. Performance is assessed in the context of receiver operating characteristic (ROC) curves on data from a U.S. Army test site that contains multiple target and clutter types, burial depths and times of day. Specifically, the results reveal two interesting things. First, the different MK strategies appear to indicate that the different iECO individuals are all more-or-less important and there is not a dominant feature. This is reinforcing as our hypothesis was that iECO provides different ways to approach target detection. Last, we observe that while optimization-based MK is mathematically appealing, i.e., it connects the learning of the fusion to the underlying classification problem we are trying to solve, it appears to be highly susceptible to over fitting and simpler, e.g., fixed rule and heuristics approaches help us realize more generalizable iECO solutions.

Intelligent multiagent coordination based on reinforcement hierarchical neuro-fuzzy models.

PubMed

Mendoza, Leonardo Forero; Vellasco, Marley; Figueiredo, Karla

2014-12-01

This paper presents the research and development of two hybrid neuro-fuzzy models for the hierarchical coordination of multiple intelligent agents. The main objective of the models is to have multiple agents interact intelligently with each other in complex systems. We developed two new models of coordination for intelligent multiagent systems, which integrates the Reinforcement Learning Hierarchical Neuro-Fuzzy model with two proposed coordination mechanisms: the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with a market-driven coordination mechanism (MA-RL-HNFP-MD) and the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with graph coordination (MA-RL-HNFP-CG). In order to evaluate the proposed models and verify the contribution of the proposed coordination mechanisms, two multiagent benchmark applications were developed: the pursuit game and the robot soccer simulation. The results obtained demonstrated that the proposed coordination mechanisms greatly improve the performance of the multiagent system when compared with other strategies.

Ants and antlions: The impact of ecology, coevolution and learning on an insect predator-prey relationship.

PubMed

Hollis, Karen L

2017-06-01

A behavioural ecological approach to the relationship between pit-digging larval antlions and their common prey, ants, provides yet another example of how the specific ecological niche that species inhabit imposes selection pressures leading to unique behavioural adaptations. Antlions rely on multiple strategies to capture prey with a minimal expenditure of energy and extraordinary efficiency while ants employ several different strategies for avoiding capture, including rescue of trapped nestmates. Importantly, both ants and antlions rely heavily on their capacity for learning, a tool that sometimes is overlooked in predator-prey relationships, leading to the implicit assumption that behavioural adaptations are the result of fixed, hard-wired responses. Nonetheless, like hard-wired responses, learned behaviour, too, is uniquely adapted to the ecological niche, a reminder that the expression of associative learning is species-specific. Beyond the study of ants and antlions, per se, this particular predator-prey relationship reveals the important role that the capacity to learn plays in coevolutionary arms races. Copyright © 2016 Elsevier B.V. All rights reserved.

More than one way to see it: Individual heuristics in avian visual computation

PubMed Central

Ravignani, Andrea; Westphal-Fitch, Gesche; Aust, Ulrike; Schlumpp, Martin M.; Fitch, W. Tecumseh

2015-01-01

Comparative pattern learning experiments investigate how different species find regularities in sensory input, providing insights into cognitive processing in humans and other animals. Past research has focused either on one species’ ability to process pattern classes or different species’ performance in recognizing the same pattern, with little attention to individual and species-specific heuristics and decision strategies. We trained and tested two bird species, pigeons (Columba livia) and kea (Nestor notabilis, a parrot species), on visual patterns using touch-screen technology. Patterns were composed of several abstract elements and had varying degrees of structural complexity. We developed a model selection paradigm, based on regular expressions, that allowed us to reconstruct the specific decision strategies and cognitive heuristics adopted by a given individual in our task. Individual birds showed considerable differences in the number, type and heterogeneity of heuristic strategies adopted. Birds’ choices also exhibited consistent species-level differences. Kea adopted effective heuristic strategies, based on matching learned bigrams to stimulus edges. Individual pigeons, in contrast, adopted an idiosyncratic mix of strategies that included local transition probabilities and global string similarity. Although performance was above chance and quite high for kea, no individual of either species provided clear evidence of learning exactly the rule used to generate the training stimuli. Our results show that similar behavioral outcomes can be achieved using dramatically different strategies and highlight the dangers of combining multiple individuals in a group analysis. These findings, and our general approach, have implications for the design of future pattern learning experiments, and the interpretation of comparative cognition research more generally. PMID:26113444

3rd grade English language learners making sense of sound

NASA Astrophysics Data System (ADS)

Suarez, Enrique; Otero, Valerie

2013-01-01

Despite the extensive body of research that supports scientific inquiry and argumentation as cornerstones of physics learning, these strategies continue to be virtually absent in most classrooms, especially those that involve students who are learning English as a second language. This study presents results from an investigation of 3rd grade students' discourse about how length and tension affect the sound produced by a string. These students came from a variety of language backgrounds, and all were learning English as a second language. Our results demonstrate varying levels, and uses, of experiential, imaginative, and mechanistic reasoning strategies. Using specific examples from students' discourse, we will demonstrate some of the productive aspects of working within multiple language frameworks for making sense of physics. Conjectures will be made about how to utilize physics as a context for English Language Learners to further conceptual understanding, while developing their competence in the English language.

Overview and Experiences of a Nursing e-Mentorship Program

PubMed Central

Faiman, Beth

2012-01-01

Little is known regarding the feasibility and efficacy of an online continuing education program for oncology nurses. The Multiple Myeloma Mentorship Program, a quality improvement project for the Institute for Medical Education and Research, was designed to meet the educational needs of oncology nurses caring for patients with multiple myeloma. Twenty-five expert nurses with expertise in multiple myeloma from 23 cancer centers in the United States partnered with 50 oncology nurses in an electronic format from July 2009 to January 2010. The purpose of the program was to educate oncology nurses about the latest treatments and strategies for optimal side-effect management for patients with multiple myeloma. Nurse mentees selected their preferred form of learning—webcast, in-person speaker, or monograph. Two live webcasts allowed for didactic discussion between mentors and mentees. During and after the program, mentors conducted informal, unscripted interviews with nurse participants to determine preferred learning format, challenges, and implications for practice. Twelve nurses preferred Web-based learning to in-person presentations, citing flexibility and convenience as reasons for that choice. Time constraints with Web-based and in-person learning were a barrier to nurse mentees completing assigned modules. Several nurses implemented practice changes as a result of the program. Nurses who participated in the mentorship program were satisfied with the content. Learning styles and format should be considered in future mentorship programs. PMID:21810575

Behavior learning in differential games and reorientation maneuvers

NASA Astrophysics Data System (ADS)

Satak, Neha

The purpose of this dissertation is to apply behavior learning concepts to incomplete- information continuous time games. Realistic game scenarios are often incomplete-information games in which the players withhold information. A player may not know its opponent's objectives and strategies prior to the start of the game. This lack of information can limit the player's ability to play optimally. If the player can observe the opponent's actions, it can better optimize its achievements by taking corrective actions. In this research, a framework to learn an opponent's behavior and take corrective actions is developed. The framework will allow a player to observe the opponent's actions and formulate behavior models. The developed behavior model can then be utilized to find the best actions for the player that optimizes the player's objective function. In addition, the framework proposes that the player plays a safe strategy at the beginning of the game. A safe strategy is defined in this research as a strategy that guarantees a minimum pay-off to the player independent of the other player's actions. During the initial part of the game, the player will play the safe strategy until it learns the opponent's behavior. Two methods to develop behavior models that differ in the formulation of the behavior model are proposed. The first method is the Cost-Strategy Recognition (CSR) method in which the player formulates an objective function and a strategy for the opponent. The opponent is presumed to be rational and therefore will play to optimize its objective function. The strategy of the opponent is dependent on the information available to the opponent about other players in the game. A strategy formulation presumes a certain level of information available to the opponent. The previous observations of the opponent's actions are used to estimate the parameters of the formulated behavior model. The estimated behavior model predicts the opponent's future actions. The second method is the Direct Approximation of Value Function (DAVF) method. In this method, unlike the CSR method, the player formulates an objective function for the opponent but does not formulates a strategy directly; rather, indirectly the player assumes that the opponent is playing optimally. Thus, a value function satisfying the HJB equation corresponding to the opponent's cost function exists. The DAVF method finds an approximate solution for the value function based on previous observations of the opponent's control. The approximate solution to the value function is then used to predict the opponent's future behavior. Game examples in which only a single player is learning its opponent's behavior are simulated. Subsequently, examples in which both players in a two-player game are learning each other's behavior are simulated. In the second part of this research, a reorientation control maneuver for a spinning spacecraft will be developed. This will aid the application of behavior learning and differential games concepts to the specific scenario involving multiple spinning spacecraft. An impulsive reorientation maneuver with coasting will be analytically designed to reorient the spin axis of the spacecraft using a single body fixed thruster. Cooperative maneuvers of multiple spacecraft optimizing fuel and relative orientation will be designed. Pareto optimality concepts will be used to arrive at mutually agreeable reorientation maneuvers for the cooperating spinning spacecraft.

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

PubMed Central

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

2013-01-01

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

Teaching adolescents with learning disabilities to generate and use task-specific strategies.

PubMed

Ellis, E S; Deshler, D D; Schumaker, J B

1989-02-01

The effects of an intervention designed to enhance students' roles as control agents for strategic functioning were investigated. The goal was to increase the ability of students labeled learning disabled to generate new strategies or adapt existing task-specific strategies for meeting varying demands of the regular classroom. Measures were taken in three areas: (a) metacognitive knowledge related to generating or adapting strategies, (b) ability to generate problem-solving strategies for novel problems, and (c) the effects of the intervention on students' regular classroom grades and teachers' perceptions of the students' self-reliance and work quality. A multiple baseline across subjects design was used. The intervention resulted in dramatic increases in the subjects' verbal expression of metacognitive knowledge and ability to generate task-specific strategies. Students' regular class grades increased; for those students who did not spontaneously generalize use of the strategy to problems encountered in these classes, providing instruction to target specific classes resulted in improved grades. Teacher perceptions of students' self-reliance and work quality did not change, probably because baseline measures were already high in both areas. Implications for instruction and future research are discussed.

Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning

PubMed Central

Bath, Kevin G.; Daw, Nathaniel D.; Frank, Michael J.

2016-01-01

Considerable evidence suggests that multiple learning systems can drive behavior. Choice can proceed reflexively from previous actions and their associated outcomes, as captured by “model-free” learning algorithms, or flexibly from prospective consideration of outcomes that might occur, as captured by “model-based” learning algorithms. However, differential contributions of dopamine to these systems are poorly understood. Dopamine is widely thought to support model-free learning by modulating plasticity in striatum. Model-based learning may also be affected by these striatal effects, or by other dopaminergic effects elsewhere, notably on prefrontal working memory function. Indeed, prominent demonstrations linking striatal dopamine to putatively model-free learning did not rule out model-based effects, whereas other studies have reported dopaminergic modulation of verifiably model-based learning, but without distinguishing a prefrontal versus striatal locus. To clarify the relationships between dopamine, neural systems, and learning strategies, we combine a genetic association approach in humans with two well-studied reinforcement learning tasks: one isolating model-based from model-free behavior and the other sensitive to key aspects of striatal plasticity. Prefrontal function was indexed by a polymorphism in the COMT gene, differences of which reflect dopamine levels in the prefrontal cortex. This polymorphism has been associated with differences in prefrontal activity and working memory. Striatal function was indexed by a gene coding for DARPP-32, which is densely expressed in the striatum where it is necessary for synaptic plasticity. We found evidence for our hypothesis that variations in prefrontal dopamine relate to model-based learning, whereas variations in striatal dopamine function relate to model-free learning. SIGNIFICANCE STATEMENT Decisions can stem reflexively from their previously associated outcomes or flexibly from deliberative consideration of potential choice outcomes. Research implicates a dopamine-dependent striatal learning mechanism in the former type of choice. Although recent work has indicated that dopamine is also involved in flexible, goal-directed decision-making, it remains unclear whether it also contributes via striatum or via the dopamine-dependent working memory function of prefrontal cortex. We examined genetic indices of dopamine function in these regions and their relation to the two choice strategies. We found that striatal dopamine function related most clearly to the reflexive strategy, as previously shown, and that prefrontal dopamine related most clearly to the flexible strategy. These findings suggest that dissociable brain regions support dissociable choice strategies. PMID:26818509

Facilitating long-term changes in student approaches to learning science.

PubMed

Buchwitz, Brian J; Beyer, Catharine H; Peterson, Jon E; Pitre, Emile; Lalic, Nevena; Sampson, Paul D; Wakimoto, Barbara T

2012-01-01

Undergraduates entering science curricula differ greatly in individual starting points and learning needs. The fast pace, high enrollment, and high stakes of introductory science courses, however, limit students' opportunities to self-assess and modify learning strategies. The University of Washington's Biology Fellows Program (BFP) intervenes through a 20-session, premajors course that introduces students to the rigor expected of bioscience majors and assists their development as science learners. This study uses quantitative and qualitative approaches to assess whether the 2007-2009 BFP achieved its desired short- and long-term impacts on student learning. Adjusting for differences in students' high school grade point average and Scholastic Aptitude Test scores, we found that participation in the BFP was associated with higher grades in two subsequent gateway biology courses, across multiple quarters and instructors. Two to 4 yr after participating in the program, students attributed changes in how they approached learning science to BFP participation. They reported having learned to "think like a scientist" and to value active-learning strategies and learning communities. In addition, they reported having developed a sense of belonging in bioscience communities. The achievement of long-term impacts for a short-term instructional investment suggests a practical means to prepare diverse students for the rigors of science curricula.

Facilitating Long-Term Changes in Student Approaches to Learning Science

PubMed Central

Buchwitz, Brian J.; Beyer, Catharine H.; Peterson, Jon E.; Pitre, Emile; Lalic, Nevena; Sampson, Paul D.; Wakimoto, Barbara T.

2012-01-01

Undergraduates entering science curricula differ greatly in individual starting points and learning needs. The fast pace, high enrollment, and high stakes of introductory science courses, however, limit students’ opportunities to self-assess and modify learning strategies. The University of Washington's Biology Fellows Program (BFP) intervenes through a 20-session, premajors course that introduces students to the rigor expected of bioscience majors and assists their development as science learners. This study uses quantitative and qualitative approaches to assess whether the 2007–2009 BFP achieved its desired short- and long-term impacts on student learning. Adjusting for differences in students’ high school grade point average and Scholastic Aptitude Test scores, we found that participation in the BFP was associated with higher grades in two subsequent gateway biology courses, across multiple quarters and instructors. Two to 4 yr after participating in the program, students attributed changes in how they approached learning science to BFP participation. They reported having learned to “think like a scientist” and to value active-learning strategies and learning communities. In addition, they reported having developed a sense of belonging in bioscience communities. The achievement of long-term impacts for a short-term instructional investment suggests a practical means to prepare diverse students for the rigors of science curricula. PMID:22949424

Paintings discrimination by mice: Different strategies for different paintings.

PubMed

Watanabe, Shigeru

2017-09-01

C57BL/6 mice were trained on simultaneous discrimination of paintings with multiple exemplars, using an operant chamber with a touch screen. The number of exemplars was successively increased up to six. Those mice trained in Kandinsky/Mondrian discrimination showed improved learning and generalization, whereas those trained in Picasso/Renoir discrimination showed no improvements in learning or generalization. These results suggest category-like discrimination in the Kandinsky/Mondrian task, but item-to-item discrimination in the Picasso/Renoir task. Mice maintained their discriminative behavior in a pixelization test with various paintings; however, mice in the Picasso/Renoir task showed poor performance in a test that employed scrambling processing. These results do not indicate that discrimination strategy for any Kandinsky/Mondrian combinations differed from that for any Picasso/Monet combinations but suggest the mice employed different strategies of discrimination tasks depending upon stimuli. Copyright © 2017 Elsevier B.V. All rights reserved.

Conflict between place and response navigation strategies: effects on vicarious trial and error (VTE) behaviors.

PubMed

Schmidt, Brandy; Papale, Andrew; Redish, A David; Markus, Etan J

2013-02-15

Navigation can be accomplished through multiple decision-making strategies, using different information-processing computations. A well-studied dichotomy in these decision-making strategies compares hippocampal-dependent "place" and dorsal-lateral striatal-dependent "response" strategies. A place strategy depends on the ability to flexibly respond to environmental cues, while a response strategy depends on the ability to quickly recognize and react to situations with well-learned action-outcome relationships. When rats reach decision points, they sometimes pause and orient toward the potential routes of travel, a process termed vicarious trial and error (VTE). VTE co-occurs with neurophysiological information processing, including sweeps of representation ahead of the animal in the hippocampus and transient representations of reward in the ventral striatum and orbitofrontal cortex. To examine the relationship between VTE and the place/response strategy dichotomy, we analyzed data in which rats were cued to switch between place and response strategies on a plus maze. The configuration of the maze allowed for place and response strategies to work competitively or cooperatively. Animals showed increased VTE on trials entailing competition between navigational systems, linking VTE with deliberative decision-making. Even in a well-learned task, VTE was preferentially exhibited when a spatial selection was required, further linking VTE behavior with decision-making associated with hippocampal processing.

Multiple effect of social influence on cooperation in interdependent network games.

PubMed

Jiang, Luo-Luo; Li, Wen-Jing; Wang, Zhen

2015-10-01

The social influence exists widely in the human society, where individual decision-making process (from congressional election to electronic commerce) may be affected by the attitude and behavior of others belonging to different social networks. Here, we couple the snowdrift (SD) game and the prisoner's dilemma (PD) game on two interdependent networks, where strategies in both games are associated by social influence to mimick the majority rule. More accurately, individuals' strategies updating refers to social learning (based on payoff difference) and above-mentioned social influence (related with environment of interdependent group), which is controlled by social influence strength s. Setting s = 0 decouples the networks and returns the traditional network game; while its increase involves the interactions between networks. By means of numerous Monte Carlo simulations, we find that such a mechanism brings multiple influence to the evolution of cooperation. Small s leads to unequal cooperation level in both games, because social learning is still the main updating rule for most players. Though intermediate and large s guarantees the synchronized evolution of strategy pairs, cooperation finally dies out and reaches a completely dominance in both cases. Interestingly, these observations are attributed to the expansion of cooperation clusters. Our work may provide a new understanding to the emergence of cooperation in intercorrelated social systems.

Multiple effect of social influence on cooperation in interdependent network games

NASA Astrophysics Data System (ADS)

Jiang, Luo-Luo; Li, Wen-Jing; Wang, Zhen

2015-10-01

The social influence exists widely in the human society, where individual decision-making process (from congressional election to electronic commerce) may be affected by the attitude and behavior of others belonging to different social networks. Here, we couple the snowdrift (SD) game and the prisoner’s dilemma (PD) game on two interdependent networks, where strategies in both games are associated by social influence to mimick the majority rule. More accurately, individuals’ strategies updating refers to social learning (based on payoff difference) and above-mentioned social influence (related with environment of interdependent group), which is controlled by social influence strength s. Setting s = 0 decouples the networks and returns the traditional network game; while its increase involves the interactions between networks. By means of numerous Monte Carlo simulations, we find that such a mechanism brings multiple influence to the evolution of cooperation. Small s leads to unequal cooperation level in both games, because social learning is still the main updating rule for most players. Though intermediate and large s guarantees the synchronized evolution of strategy pairs, cooperation finally dies out and reaches a completely dominance in both cases. Interestingly, these observations are attributed to the expansion of cooperation clusters. Our work may provide a new understanding to the emergence of cooperation in intercorrelated social systems.

Rapid learning in visual cortical networks.

PubMed

Wang, Ye; Dragoi, Valentin

2015-08-26

Although changes in brain activity during learning have been extensively examined at the single neuron level, the coding strategies employed by cell populations remain mysterious. We examined cell populations in macaque area V4 during a rapid form of perceptual learning that emerges within tens of minutes. Multiple single units and LFP responses were recorded as monkeys improved their performance in an image discrimination task. We show that the increase in behavioral performance during learning is predicted by a tight coordination of spike timing with local population activity. More spike-LFP theta synchronization is correlated with higher learning performance, while high-frequency synchronization is unrelated with changes in performance, but these changes were absent once learning had stabilized and stimuli became familiar, or in the absence of learning. These findings reveal a novel mechanism of plasticity in visual cortex by which elevated low-frequency synchronization between individual neurons and local population activity accompanies the improvement in performance during learning.

The Complexity of Teaching Density in Middle School

ERIC Educational Resources Information Center

Hashweh, Maher Z.

2016-01-01

Background: Density is difficult to learn and teach in middle schools. This study, hypothesizing that the density concept develops as part of a conceptual system, used a conceptual change approach to teaching density. The approach emphasized the use of multiple strategies to teach the density concept and the associated concepts in the conceptual…

Pedagogical Strategies Used by Selected Leading Mixed Methodologists in Mixed Research Courses

ERIC Educational Resources Information Center

Frels, Rebecca K.; Onwuegbuzie, Anthony J.; Leech, Nancy L.; Collins, Kathleen M. T.

2014-01-01

The teaching of research methods is common across multiple fields in the social and educational sciences for establishing evidence-based practices and furthering the knowledge base through scholarship. Yet, specific to mixed methods, scant information exists as to how to approach teaching complex concepts for meaningful learning experiences. Thus,…

A Faculty-Based Mentorship Circle: Positioning New Faculty for Success

ERIC Educational Resources Information Center

Waddell, Janice; Martin, Jennifer; Schwind, Jasna K.; Lapum, Jennifer L.

2016-01-01

Multiple and competing priorities within a dynamic and changing academic environment can pose significant challenges for new faculty. Mentorship has been identified as an important strategy to help socialize new faculty to their roles and the expectations of the academic environment. It also helps them learn new skills that will position them to…

Methodologies for Teaching English to Adult Students in Spanish Vocational Education Programs

ERIC Educational Resources Information Center

Castañeda, Sergio Bernal

2016-01-01

This paper explores strategies used by teachers of English in Spain to compensate for learning limitations associated with student age. As part of a qualitative study of multiple cases, twenty teachers from different vocational programs volunteered to participate in semi-structured interviews. The interviews revealed the difficulties that older…

Making Invisible Intersectionality Visible through Theater of the Oppressed in Teacher Education

ERIC Educational Resources Information Center

Powers, Beth; Duffy, Peter B.

2016-01-01

The arts generally and theater specifically offer effective strategies to help educators recognize and make visible the multiple student and teacher identities within classrooms. Without student and teacher agency in schools, there cannot be equitable and liberatory learning environments. Noted Brazilian theater artist and activist Augusto Boal's…

Stages in Constructing and Coordinating Units Additively and Multiplicatively (Part 2)

ERIC Educational Resources Information Center

Ulrich, Catherine

2016-01-01

This is the second of a two-part article that presents a theory of unit construction and coordination that underlies radical constructivist empirical studies of student learning ranging from young students' counting strategies to high school students' algebraic reasoning. In Part I, I discussed the formation of arithmetical units and composite…

Stages in Constructing and Coordinating Units Additively and Multiplicatively (Part 1)

ERIC Educational Resources Information Center

Ulrich, Catherine

2015-01-01

This is the first of a two-part article that presents a theory of unit construction and coordination that underlies radical constructivist empirical studies of student learning ranging from young students' counting strategies to high school students' algebraic reasoning. My explanation starts with the formation of arithmetical units, which presage…

New Perspectives: TA Preparation for Critical Literacy in First Year Composition.

ERIC Educational Resources Information Center

Duffelmeyer, Barb Blakely

2002-01-01

Notes that new teaching assistants (TAs) and first year composition students similarly grapple with ambiguity, multiplicity, and open-endedness. Contends that new TAs' queries and early classroom experiences can provide a valuable occasion to re-balance the emphasis in a pro-seminar between teaching and learning. Presents strategies for addressing…

Starting with Their Strengths: Using the Project Approach in Early Childhood Special Education. Early Childhood Education Series

ERIC Educational Resources Information Center

Lickey, Deborah C.; Powers, Denise J.

2011-01-01

This book provides a comprehensive and practical guide to using the project approach when teaching young children with special needs. While focusing on children's individual strengths, which include their interests, intelligences, and unique styles of learning, this resource demonstrates teaching strategies that address multiple areas of…

Encouraging Development of a Global Mindset among Students in Online International Management Courses

ERIC Educational Resources Information Center

Pathak, Seemantini

2018-01-01

This research explores how a multiple intelligences approach can be used to build a global mindset among students in online international management courses. It draws upon research in the areas of global mindset, education, cognition and learning, and neuroscience to discuss how pedagogical tools and strategies relevant to each specific…

Best Practices in Adolescent Literacy Instruction. Solving Problems in the Teaching of Literacy

ERIC Educational Resources Information Center

Hinchman, Kathleen A., Ed.; Sheridan-Thomas, Heather K., Ed.

2008-01-01

Covering everything from day-to-day learning activities to schoolwide goals, this engaging book reviews key topics in literacy instruction for grades 5-12 and provides research-based recommendations for practice. Leading scholars present culturally responsive strategies for motivating adolescents; using multiple texts and digital media;…

Balancing Online Teaching Activities: Strategies for Optimizing Efficiency and Effectiveness

ERIC Educational Resources Information Center

Raffo, Deana M.; Brinthaupt, Thomas M.; Gardner, Justin G.; Fisher, Lawanna S.

2015-01-01

Increased demands in professional expectations have required online faculty to learn how to balance multiple roles in an open-ended, changing, and relatively unstructured job. In this paper, we argue that being strategic about one's balance of the various facets of online teaching will improve one's teaching efficiency and effectiveness. We…

Business Statistics and Management Science Online: Teaching Strategies and Assessment of Student Learning

ERIC Educational Resources Information Center

Sebastianelli, Rose; Tamimi, Nabil

2011-01-01

Given the expected rise in the number of online business degrees, issues regarding quality and assessment in online courses will become increasingly important. The authors focus on the suitability of online delivery for quantitative business courses, specifically business statistics and management science. They use multiple approaches to assess…

Learning from Cancer Precursors | Center for Cancer Research

Cancer.gov

Cancers that are preceded by distinct nonmalignant lesions provide an opportunity to study cancer progression and develop early detection and intervention strategies. Multiple myeloma—a cancer of the bone marrow that originates in a type of white blood cell called plasma cells—is consistently preceded by one of two nonmalignant precursor diseases: monoclonal gammopathy of

The application of multiple intelligence approach to the learning of human circulatory system

NASA Astrophysics Data System (ADS)

Kumalasari, Lita; Yusuf Hilmi, A.; Priyandoko, Didik

2017-11-01

The purpose of this study is to offer an alternative teaching approach or strategies which able to accommodate students’ different ability, intelligence and learning style. Also can gives a new idea for the teacher as a facilitator for exploring how to teach the student in creative ways and more student-center activities, for a lesson such as circulatory system. This study was carried out at one private school in Bandung involved eight students to see their responses toward the lesson that delivered by using Multiple Intelligence approach which is include Linguistic, Logical-Mathematical, Visual-Spatial, Musical, Bodily-Kinesthetic, Interpersonal, Intrapersonal, and Naturalistic. Students were test by using MI test based on Howard Gardner’s MI model to see their dominant intelligence. The result showed the percentage of top three ranks of intelligence are Bodily-Kinesthetic (73%), Visual-Spatial (68%), and Logical-Mathematical (61%). The learning process is given by using some different multimedia and activities to engaged their learning style and intelligence such as mini experiment, short clip, and questions. Student response is given by using self-assessment and the result is all students said the lesson gives them a knowledge and skills that useful for their life, they are clear with the explanation given, they didn’t find difficulties to understand the lesson and can complete the assignment given. At the end of the study, it is reveal that the students who are learned by Multiple Intelligence instructional approach have more enhance to the lesson given. It’s also found out that the students participated in the learning process which Multiple Intelligence approach was applied enjoyed the activities and have great fun.

New Pathways into Robotics: Strategies for Broadening Participation

NASA Astrophysics Data System (ADS)

Rusk, Natalie; Resnick, Mitchel; Berg, Robbie; Pezalla-Granlund, Margaret

2008-02-01

This paper suggests new strategies for introducing students to robotics technologies and concepts, and argues for the importance of providing multiple entry points into robotics. In particular, the paper describes four strategies that have been successful in engaging a broad range of learners: (1) focusing on themes, not just challenges; (2) combining art and engineering; (3) encouraging storytelling; (4) organizing exhibitions, rather than competitions. The paper describes a new technology, called the PicoCricket, that supports these strategies by enabling young people to design and program artistic creations that integrate light, sound, music, and motion. The paper concludes with an analysis of robotics activities in three educational environments, examining how these new strategies and technologies can engage young people with diverse interests and learning styles.

Exploring the potential of a multi-level approach to improve capability for continuous organizational improvement and learning in a Swedish healthcare region.

PubMed

Nyström, M E; Höög, E; Garvare, R; Andersson Bäck, M; Terris, D D; Hansson, J

2018-05-24

Eldercare and care of people with functional impairments is organized by the municipalities in Sweden. Improving care in these areas is complex, with multiple stakeholders and organizations. Appropriate strategies to develop capability for continuing organizational improvement and learning (COIL) are needed. The purpose of our study was to develop and pilot-test a flexible, multilevel approach for COIL capability building and to identify what it takes to achieve changes in key actors' approaches to COIL. The approach, named "Sustainable Improvement and Development through Strategic and Systematic Approaches" (SIDSSA), was applied through an action-research and action-learning intervention. The SIDSSA approach was tested in a regional research and development (R&D) unit, and in two municipalities handling care of the elderly and people with functional impairments. Our approach included a multilevel strategy, development loops of five flexible phases, and an action-learning loop. The approach was designed to support systems understanding, strategic focus, methodological practices, and change process knowledge - all of which required double-loop learning. Multiple qualitative methods, i.e., repeated interviews, process diaries, and documents, provided data for conventional content analyses. The new approach was successfully tested on all cases and adopted and sustained by the R&D unit. Participants reported new insights and skills. The development loop facilitated a sense of coherence and control during uncertainty, improved planning and problem analysis, enhanced mapping of context and conditions, and supported problem-solving at both the individual and unit levels. The systems-level view and structured approach helped participants to explain, motivate, and implement change initiatives, especially after working more systematically with mapping, analyses, and goal setting. An easily understood and generalizable model internalized by key organizational actors is an important step before more complex development models can be implemented. SIDSSA facilitated individual and group learning through action-learning and supported systems-level views and structured approaches across multiple organizational levels. Active involvement of diverse organizational functions and levels in the learning process was facilitated. However, the time frame was too short to fully test all aspects of the approach, specifically in reaching beyond the involved managers to front-line staff and patients.

Addressing the surveillance goal in the National Strategy for Suicide Prevention: the Department of Defense Suicide Event Report.

PubMed

Gahm, Gregory A; Reger, Mark A; Kinn, Julie T; Luxton, David D; Skopp, Nancy A; Bush, Nigel E

2012-03-01

The US National Strategy for Suicide Prevention (National Strategy) described 11 goals across multiple areas, including suicide surveillance. Consistent with these goals, the Department of Defense (DoD) has engaged aggressively in the area of suicide surveillance. The DoD's population-based surveillance system, the DoD Suicide Event Report (DoDSER) collects information on suicides and suicide attempts for all branches of the military. Data collected includes suicide event details, treatment history, military and psychosocial history, and psychosocial stressors at the time of the event. Lessons learned from the DoDSER program are shared to assist other public health professionals working to address the National Strategy objectives.

There is No Free Lunch: Tradeoffs in the Utility of Learned Knowledge

NASA Technical Reports Server (NTRS)

Kedar, Smadar T.; McKusick, Kathleen B.

1992-01-01

With the recent introduction of learning in integrated systems, there is a need to measure the utility of learned knowledge for these more complex systems. A difficulty arrises when there are multiple, possibly conflicting, utility metrics to be measured. In this paper, we present schemes which trade off conflicting utility metrics in order to achieve some global performance objectives. In particular, we present a case study of a multi-strategy machine learning system, mutual theory refinement, which refines world models for an integrated reactive system, the Entropy Reduction Engine. We provide experimental results on the utility of learned knowledge in two conflicting metrics - improved accuracy and degraded efficiency. We then demonstrate two ways to trade off these metrics. In each, some learned knowledge is either approximated or dynamically 'forgotten' so as to improve efficiency while degrading accuracy only slightly.

Differences in Learning Strategies, Goal Orientations, and Self-Concept between Overachieving, Normal-Achieving, and Underachieving Secondary Students.

PubMed

Castejón, Juan L; Gilar, Raquel; Veas, Alejandro; Miñano, Pablo

2016-01-01

The aims of this work were to identify and establish differential characteristics in learning strategies, goal orientations, and self-concept between overachieving, normal-achieving and underachieving secondary students. A total of 1400 Spanish first and second year high school students from the South-East geographical area participated in this study. Three groups of students were established: a group with underachieving students, a group with a normal level of achievement, and a third group with overachieving students. The students were assigned to each group depending on the residual punctuations obtained from a multiple regression analysis in which the punctuation of an IQ test was the predictor and a measure composed of the school grades of nine subjects was the criteria. The results of one-way ANOVA and the Games-Howell post-hoc test showed that underachieving students had significantly lower punctuations in all of the measures of learning strategies and learning goals, as well as all of the academic self-concept, personal self-concept, parental relationship, honesty, and personal stability factors. In contrast, overachieving students had higher punctuations than underachieving students in the same variables and higher punctuations than normal-achieving students in most of the variables in which significant differences were detected. These results have clear educational implications.

Differences in Learning Strategies, Goal Orientations, and Self-Concept between Overachieving, Normal-Achieving, and Underachieving Secondary Students

PubMed Central

Castejón, Juan L.; Gilar, Raquel; Veas, Alejandro; Miñano, Pablo

2016-01-01

The aims of this work were to identify and establish differential characteristics in learning strategies, goal orientations, and self-concept between overachieving, normal-achieving and underachieving secondary students. A total of 1400 Spanish first and second year high school students from the South-East geographical area participated in this study. Three groups of students were established: a group with underachieving students, a group with a normal level of achievement, and a third group with overachieving students. The students were assigned to each group depending on the residual punctuations obtained from a multiple regression analysis in which the punctuation of an IQ test was the predictor and a measure composed of the school grades of nine subjects was the criteria. The results of one-way ANOVA and the Games-Howell post-hoc test showed that underachieving students had significantly lower punctuations in all of the measures of learning strategies and learning goals, as well as all of the academic self-concept, personal self-concept, parental relationship, honesty, and personal stability factors. In contrast, overachieving students had higher punctuations than underachieving students in the same variables and higher punctuations than normal-achieving students in most of the variables in which significant differences were detected. These results have clear educational implications. PMID:27729879

Mobile Learning in Medical Education: Review.

PubMed

Walsh, Kieran

2015-10-01

In the past several years, mobile learning made rapid inroads into the provision of medical education. There are significant advantages associated with mobile learning. These include high access, low cost, more situated and contextual learning, convenience for the learner, continuous communication and interaction between learner and tutor and between learner and other learners, and the ability to self-assess themselves while learning. Like any other form of medical pedagogy, mobile learning has its downsides. Disadvantages of mobile learning include: inadequate technology, a risk of distraction from learning by using a device that can be used for multiple purposes, and the potential for breakdown in barriers between personal usage of the mobile device and professional or educational use. Despite these caveats, there is no question but that mobile learning offers much potential. In the future, it is likely that the strategy of mobile first, whereby providers of e-learning think of the user experience on a mobile first, will result in learners who increasingly expect that all e-learning provision will work seamlessly on a mobile device.

Engagement, recruitment, and retention in a trans-community, randomized controlled trial for the prevention of obesity in rural American Indian and Hispanic children.

PubMed

Cruz, Theresa H; Davis, Sally M; FitzGerald, Courtney A; Canaca, Glenda F; Keane, Patricia C

2014-06-01

Engagement, recruitment and retention of participants are critical to the success of research studies but specific strategies are rarely elucidated in the literature. The purpose of this paper is to describe the engagement, recruitment and retention process and outcomes in the Child Health Initiative for Lifelong Eating and Exercise (CHILE) study, and to describe lessons learned in the process. CHILE is a multi-level, group randomized controlled trial of a childhood obesity prevention intervention in rural American Indian and predominantly Hispanic Head Start (HS) centers in New Mexico. Barriers to engagement, recruitment and retention included distrust of researchers, long travel distances, and different HS and community structures. CHILE employed multiple strategies from the onset including the use of formative assessment, building on previous relationships, developing Memoranda of Agreement, using a community engagement specialist, and gaining support of a community champion. As a result of lessons learned, additional strategies were employed, including more frequent feedback to intervention sites, revised permission forms, telephone reminders, increased site visits and over-scheduling of interviews. These strategies resulted in the recruitment of 16 HS centers, 1,879 children, 655 parents, 7 grocery stores and 14 healthcare providers, meeting or exceeding recruitment goals. By combining principles of community engagement, a variety of recruitment strategies, and lessons learned, this study obtained a high level of recruitment and retention.

Engagement, Recruitment, and Retention in a Trans-Community, Randomized Controlled Trial for the Prevention of Obesity in Rural American Indian and Hispanic Children

PubMed Central

Davis, Sally M.; FitzGerald, Courtney A.; Canaca, Glenda F.; Keane, Patricia C.

2016-01-01

Engagement, recruitment and retention of participants are critical to the success of research studies but specific strategies are rarely elucidated in the literature. The purpose of this paper is to describe the engagement, recruitment and retention process and outcomes in the Child Health Initiative for Lifelong Eating and Exercise (CHILE) study, and to describe lessons learned in the process. CHILE is a multi-level, group randomized controlled trial of a childhood obesity prevention intervention in rural American Indian and predominantly Hispanic Head Start (HS) centers in New Mexico. Barriers to engagement, recruitment and retention included distrust of researchers, long travel distances, and different HS and community structures. CHILE employed multiple strategies from the onset including the use of formative assessment, building on previous relationships, developing Memoranda of Agreement, using a community engagement specialist, and gaining support of a community champion. As a result of lessons learned, additional strategies were employed, including more frequent feedback to intervention sites, revised permission forms, telephone reminders, increased site visits and over-scheduling of interviews. These strategies resulted in the recruitment of 16 HS centers, 1,879 children, 655 parents, 7 grocery stores and 14 healthcare providers, meeting or exceeding recruitment goals. By combining principles of community engagement, a variety of recruitment strategies, and lessons learned, this study obtained a high level of recruitment and retention. PMID:24549525

More than one way to see it: Individual heuristics in avian visual computation.

PubMed

Ravignani, Andrea; Westphal-Fitch, Gesche; Aust, Ulrike; Schlumpp, Martin M; Fitch, W Tecumseh

2015-10-01

Comparative pattern learning experiments investigate how different species find regularities in sensory input, providing insights into cognitive processing in humans and other animals. Past research has focused either on one species' ability to process pattern classes or different species' performance in recognizing the same pattern, with little attention to individual and species-specific heuristics and decision strategies. We trained and tested two bird species, pigeons (Columba livia) and kea (Nestor notabilis, a parrot species), on visual patterns using touch-screen technology. Patterns were composed of several abstract elements and had varying degrees of structural complexity. We developed a model selection paradigm, based on regular expressions, that allowed us to reconstruct the specific decision strategies and cognitive heuristics adopted by a given individual in our task. Individual birds showed considerable differences in the number, type and heterogeneity of heuristic strategies adopted. Birds' choices also exhibited consistent species-level differences. Kea adopted effective heuristic strategies, based on matching learned bigrams to stimulus edges. Individual pigeons, in contrast, adopted an idiosyncratic mix of strategies that included local transition probabilities and global string similarity. Although performance was above chance and quite high for kea, no individual of either species provided clear evidence of learning exactly the rule used to generate the training stimuli. Our results show that similar behavioral outcomes can be achieved using dramatically different strategies and highlight the dangers of combining multiple individuals in a group analysis. These findings, and our general approach, have implications for the design of future pattern learning experiments, and the interpretation of comparative cognition research more generally. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Confidence Preserving Machine for Facial Action Unit Detection

PubMed Central

Zeng, Jiabei; Chu, Wen-Sheng; De la Torre, Fernando; Cohn, Jeffrey F.; Xiong, Zhang

2016-01-01

Facial action unit (AU) detection from video has been a long-standing problem in automated facial expression analysis. While progress has been made, accurate detection of facial AUs remains challenging due to ubiquitous sources of errors, such as inter-personal variability, pose, and low-intensity AUs. In this paper, we refer to samples causing such errors as hard samples, and the remaining as easy samples. To address learning with the hard samples, we propose the Confidence Preserving Machine (CPM), a novel two-stage learning framework that combines multiple classifiers following an “easy-to-hard” strategy. During the training stage, CPM learns two confident classifiers. Each classifier focuses on separating easy samples of one class from all else, and thus preserves confidence on predicting each class. During the testing stage, the confident classifiers provide “virtual labels” for easy test samples. Given the virtual labels, we propose a quasi-semi-supervised (QSS) learning strategy to learn a person-specific (PS) classifier. The QSS strategy employs a spatio-temporal smoothness that encourages similar predictions for samples within a spatio-temporal neighborhood. In addition, to further improve detection performance, we introduce two CPM extensions: iCPM that iteratively augments training samples to train the confident classifiers, and kCPM that kernelizes the original CPM model to promote nonlinearity. Experiments on four spontaneous datasets GFT [15], BP4D [56], DISFA [42], and RU-FACS [3] illustrate the benefits of the proposed CPM models over baseline methods and state-of-the-art semisupervised learning and transfer learning methods. PMID:27479964

Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions.

PubMed

Chen, Ke; Wang, Shihai

2011-01-01

Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learning with various strategies. To our knowledge, however, none of them takes all three semi-supervised assumptions, i.e., smoothness, cluster, and manifold assumptions, together into account during boosting learning. In this paper, we propose a novel cost functional consisting of the margin cost on labeled data and the regularization penalty on unlabeled data based on three fundamental semi-supervised assumptions. Thus, minimizing our proposed cost functional with a greedy yet stagewise functional optimization procedure leads to a generic boosting framework for semi-supervised learning. Extensive experiments demonstrate that our algorithm yields favorite results for benchmark and real-world classification tasks in comparison to state-of-the-art semi-supervised learning algorithms, including newly developed boosting algorithms. Finally, we discuss relevant issues and relate our algorithm to the previous work.

Cooperative learning strategies to teach nutrition to geriatric nursing staff.

PubMed

Arroyo, Marta; Rocandio, Ana Ma; Ansotegui, Laura; Pascual, Estíbaliz; Martínez de la Pera, Concepción

2008-03-01

The objective of this study was to test the hypothesis that cooperative learning strategies will help to increase nutrition knowledge of nurses and nursing assistants caring for the elderly in different institutional communities of the Basque Country, Spain. The target population was a sample of volunteers, 16 nurses and 28 nursing assistants. Training consisted of 12 nutrition education sessions using cooperative strategies conducted over a period of 3 consecutive weeks. The assessment instruments included two pretest and two posttest questionnaires with questions selected in multiple-choice format. The first questionnaire was about general knowledge of applied nutrition (0-88 point scale) and the second one on geriatric nutrition knowledge (0-18 point scale). Data were analyzed using SPSS vs. 11.0. The outcomes indicated a significant increase in general nutrition knowledge (difference between the pre- and post-test mean score: 14.5+/-10.1; P<0.001) and in geriatric nutrition knowledge for all participants (difference between the pre- and post-test mean score: 4.6+/-4.6; P<0.001). So the results indicated that cooperative learning strategies could improve the nutrition knowledge of nursing staff. Additionally, the results of this study provide direction to continuing nutrition education program planners regarding appropriate content and methodology for programs.

Using the Delphi questionnaire technique to create a reading comprehension resource guide for middle school science teachers

NASA Astrophysics Data System (ADS)

Wegner, Molly F.

As students begin middle school, they are expected to possess and apply a wide array of nonfiction reading strategies if they are to comprehend new concepts from nonfiction texts. Although strategies and resource guides for fiction reading are available, an effective nonfiction reading comprehension resource guide tailored to middle school science teachers is lacking. The conceptual framework guiding this study is based on schema theory that supports the use of prior knowledge as a foundation for learning. The purpose of this project study was to address this local problem by providing middle school science teachers with a user-friendly resource for nonfiction reading comprehension strategies in a science context. The research question examined nonfiction reading comprehension strategies that could supplement middle school science teachers' instructional practices to increase student comprehension in science, as reflected on the results of state standardized tests. This project study consulted science and language arts teachers using a Delphi questionnaire technique to achieve a consensus through multiple iterations of questionnaires. Science teachers identified 7 areas of concern as students read nonfiction texts, and language arts teachers suggested effective reading comprehension strategies to address these areas. Based on the consensus of reading comprehension strategies and review of literature, a resource guide for middle school science teachers was created. By improving reading comprehension in content areas, teachers may not only increase student learning, but also underscore the importance of literacy relating to life-long learning through future occupations, academic endeavors, and society as well.

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.

Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task

PubMed Central

2017-01-01

Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks. Here we demonstrate advanced pattern discrimination and continuous learning in a network of spiking neurons with multiple plastic layers. The network utilized both reward modulated and non-reward modulated STDP and implemented multiple mechanisms for homeostatic regulation of synaptic efficacy, including heterosynaptic plasticity, gain control, output balancing, activity normalization of rewarded STDP and hard limits on synaptic strength. We found that addition of a hidden layer of neurons employing non-rewarded STDP created neurons that responded to the specific combinations of inputs and thus performed basic classification of the input patterns. When combined with a following layer of neurons implementing rewarded STDP, the network was able to learn, despite the absence of labeled training data, discrimination between rewarding patterns and the patterns designated as punishing. Synaptic noise allowed for trial-and-error learning that helped to identify the goal-oriented strategies which were effective in task solving. The study predicts a critical set of properties of the spiking neuronal network with STDP that was sufficient to solve a complex foraging task involving pattern classification and decision making. PMID:28961245

Problem-Centered Supplemental Instruction in Biology: Influence on Content Recall, Content Understanding, and Problem Solving Ability

NASA Astrophysics Data System (ADS)

Gardner, Joel; Belland, Brian R.

2017-08-01

To address the need for effective, efficient ways to apply active learning in undergraduate biology courses, in this paper, we propose a problem-centered approach that utilizes supplemental web-based instructional materials based on principles of active learning. We compared two supplementary web-based modules using active learning strategies: the first used Merrill's First Principles of Instruction as a framework for organizing multiple active learning strategies; the second used a traditional web-based approach. Results indicated that (a) the First Principles group gained significantly from pretest to posttest at the Remember level ( t(40) = -1.432, p = 0.08, ES = 0.4) and at the Problem Solving level ( U = 142.5, N1 = 21, N2 = 21, p = .02, ES = 0.7) and (b) the Traditional group gained significantly from pretest to posttest at the Remember level ( t(36) = 1.762, p = 0.043, ES = 0.6). Those in the First Principles group were significantly more likely than the traditional group to be confident in their ability to solve problems in the future (χ2 (2, N = 40) = 3.585, p = 0.09).

WORMHOLE: Novel Least Diverged Ortholog Prediction through Machine Learning

PubMed Central

Sutphin, George L.; Mahoney, J. Matthew; Sheppard, Keith; Walton, David O.; Korstanje, Ron

2016-01-01

The rapid advancement of technology in genomics and targeted genetic manipulation has made comparative biology an increasingly prominent strategy to model human disease processes. Predicting orthology relationships between species is a vital component of comparative biology. Dozens of strategies for predicting orthologs have been developed using combinations of gene and protein sequence, phylogenetic history, and functional interaction with progressively increasing accuracy. A relatively new class of orthology prediction strategies combines aspects of multiple methods into meta-tools, resulting in improved prediction performance. Here we present WORMHOLE, a novel ortholog prediction meta-tool that applies machine learning to integrate 17 distinct ortholog prediction algorithms to identify novel least diverged orthologs (LDOs) between 6 eukaryotic species—humans, mice, zebrafish, fruit flies, nematodes, and budding yeast. Machine learning allows WORMHOLE to intelligently incorporate predictions from a wide-spectrum of strategies in order to form aggregate predictions of LDOs with high confidence. In this study we demonstrate the performance of WORMHOLE across each combination of query and target species. We show that WORMHOLE is particularly adept at improving LDO prediction performance between distantly related species, expanding the pool of LDOs while maintaining low evolutionary distance and a high level of functional relatedness between genes in LDO pairs. We present extensive validation, including cross-validated prediction of PANTHER LDOs and evaluation of evolutionary divergence and functional similarity, and discuss future applications of machine learning in ortholog prediction. A WORMHOLE web tool has been developed and is available at http://wormhole.jax.org/. PMID:27812085

WORMHOLE: Novel Least Diverged Ortholog Prediction through Machine Learning.

PubMed

Sutphin, George L; Mahoney, J Matthew; Sheppard, Keith; Walton, David O; Korstanje, Ron

2016-11-01

The rapid advancement of technology in genomics and targeted genetic manipulation has made comparative biology an increasingly prominent strategy to model human disease processes. Predicting orthology relationships between species is a vital component of comparative biology. Dozens of strategies for predicting orthologs have been developed using combinations of gene and protein sequence, phylogenetic history, and functional interaction with progressively increasing accuracy. A relatively new class of orthology prediction strategies combines aspects of multiple methods into meta-tools, resulting in improved prediction performance. Here we present WORMHOLE, a novel ortholog prediction meta-tool that applies machine learning to integrate 17 distinct ortholog prediction algorithms to identify novel least diverged orthologs (LDOs) between 6 eukaryotic species-humans, mice, zebrafish, fruit flies, nematodes, and budding yeast. Machine learning allows WORMHOLE to intelligently incorporate predictions from a wide-spectrum of strategies in order to form aggregate predictions of LDOs with high confidence. In this study we demonstrate the performance of WORMHOLE across each combination of query and target species. We show that WORMHOLE is particularly adept at improving LDO prediction performance between distantly related species, expanding the pool of LDOs while maintaining low evolutionary distance and a high level of functional relatedness between genes in LDO pairs. We present extensive validation, including cross-validated prediction of PANTHER LDOs and evaluation of evolutionary divergence and functional similarity, and discuss future applications of machine learning in ortholog prediction. A WORMHOLE web tool has been developed and is available at http://wormhole.jax.org/.

Motivating Nursing Faculty to Use Active Learning Strategies: A Qualitative Multiple Case Study

ERIC Educational Resources Information Center

Hardell, Traci Lee

2011-01-01

The nursing shortage remains of great concern to the nursing profession and to nursing educators. With the projected need for Registered Nurses high and the attrition rate in nursing programs remaining high, a focus on retention of qualified nursing students may be needed. One way to contribute to enhanced retention is using active learning…

Group Writing: How Writing Teaches Reading

ERIC Educational Resources Information Center

Campbell-Rush, Peggy

2006-01-01

What do Slinky toys, sign language, clipboards, golf pencils, and a house icon have in common? They all are a part of the author's writing and reading program, which teaches children how to write, and then read what they have written. This book includes: effective strategies that address multiple learning styles; a ready-to-use form for ongoing…

Fourth Graders' Cognitive Processes and Learning Strategies for Reading Illustrated Biology Texts: Eye Movement Measurements

ERIC Educational Resources Information Center

Jian, Yu-Cin

2016-01-01

Previous research suggests that multiple representations can improve science reading comprehension. This facilitation effect is premised on the observation that readers can efficiently integrate information in text and diagram formats; however, this effect in young readers is still contested. Using eye-tracking technology and sequential analysis,…

Multiple Factors Supporting the Transition to ICT-Rich Learning Environments in India, Turkey, and Chile

ERIC Educational Resources Information Center

Light, Daniel

2010-01-01

This research project used instrumental case studies of successful schools from the Intel® Teach Essentials Course in Turkey, India and Chile to examine what contextual factors might facilitate teachers' ability to transfer a professional development program about ICT and innovative teaching strategies into their classrooms given the school…

Writing Strategies of Tunisian First Year University Students Learning English as a Foreign Language

ERIC Educational Resources Information Center

Ferjani, Kaouther

2010-01-01

Managing to communicate one's thoughts and ideas coherently and fluently remains a challenging task for native and non-native student writers alike. This challenge corresponds to the very nature of the writing act, which calls upon multiple and sophisticated cognitive operations. The major aim of this study was to investigate the writing…

Improving Student Learning: Examining the Teacher Knowing-Doing Gap

ERIC Educational Resources Information Center

Nunnally, Gary S.

2012-01-01

Research literature is full of research-based instructional strategies that highly effective teachers utilize on a consistent and systematic basis. And, it is well known that in multiple fields there exists a gap between what people know and what they actually do, commonly referred to as the knowing-doing gap. This study sought to examine whether…

Early Steps to School Success (ESSS): Examining Pathways Linking Home Visiting and Language Outcomes

ERIC Educational Resources Information Center

Iruka, Iheoma U.; Brown, Deborah; Jerald, Judith; Blitch, Kimberly

2018-01-01

Background: Improving the home environment and parenting practices to support children's early development and learning is a key focus of many. Home visiting is one potential strategy to improve the home environment and parenting; however, more data about current programmatic efforts is needed, especially for children with multiple risks living in…

Disruptive Promise: The Links Intervention and Its Impact on Multiple, Multimodal, Internet Text Integration

ERIC Educational Resources Information Center

Schira Hagerman, Michelle

2014-01-01

This dissertation study presents an instructional intervention called LINKS: Learning to Integrate InterNet Knowledge Strategically. It reports evidence of the intervention's impact on two variables: (a) ninth graders' use of ten online reading and integration strategies while engaged in dyadic online inquiry on science topics in school, and (b)…

Social and Cultural Contexts of Chinese Learners: Teaching Strategies for American Educators

ERIC Educational Resources Information Center

Thakkar, Darshan

2011-01-01

This article seeks to evaluate the social and cultural context of education among Chinese learners in order to identify ways through which American educators can best serve such students. It is intended that such efforts will create multiple pathways to knowledge for Chinese learners by accommodating their varying learning needs. Several common…

Two-Dimensional, Implicit Confidence Tests as a Tool for Recognizing Student Misconceptions

ERIC Educational Resources Information Center

Klymkowsky, Michael W.; Taylor, Linda B.; Spindler, Shana R.; Garvin-Doxas, R. Kathy

2006-01-01

The misconceptions that students bring with them, or that arise during instruction, are a critical barrier to learning. Implicit-confidence tests, a simple modification of the multiple-choice test, can be used as a strategy for recognizing student misconceptions. An important issue, however, is whether such tests are gender-neutral. We analyzed…

"Left to Your Own Devices"--The Missed Potential of Adult Career Guidance in Denmark

ERIC Educational Resources Information Center

Cort, Pia; Thomsen, Rie; Mariager-Anderson, Kristina

2015-01-01

In 2008, the European Council agreed on a Resolution on better integrating lifelong guidance into lifelong learning strategies. The Resolution promoted lifelong guidance as a policy to support people during the multiple transitions provoked by a more volatile labour market. However, when looking into the guidance policy of Denmark, the Resolution…

Relationship between the Learning Hierarchy and Academic Achievement on Strategies Used by Third-Grade Students When Solving Multiplication Word Problems

ERIC Educational Resources Information Center

Kanive, Rebecca A.

2016-01-01

Distinguishing between sources of variability in mathematics performance may contribute to a more comprehensive theory of mathematics skills. Research has examined student differences based upon scores on achievement tests, which provide overall proficiency, but may not provide the detailed information for identifying and remediating difficulties.…

Contrasts in Student Affect by Institution and Instructor: Establishing a National Baseline for Geoscience Courses

NASA Astrophysics Data System (ADS)

Mcconnell, D. A.; Perkins, D.; Stempien, J.; Husman, J.

2011-12-01

The GARNET (Geoscience Affective Research Network) project examines the connection between student learning and the affective domain, which includes student motivations, values, attitudes and learning strategies - factors that can both promote and limit learning. This is the first study to compare and contrast the relationship between student motivation and learning strategies, the nature of classroom instruction, and learning outcomes across a common course taught by multiple instructors at different types of academic institutions. In 2009-2011 we administered pre- and post-course Motivated Strategies for Learning Questionnaires (MSLQ; Pintrich et al, 1993) to 1990 students in more than 40 introductory geology classes taught by 25 instructors at nine colleges and universities. Students primarily register for the introductory courses to fulfill a general education requirement with a relatively modest proportion (25%) declaring a prior interest in the course topic. This institutional requirement produces a situation where students' motivational orientation is not likely to adjust to their newfound academic environment. The students do not have an interest in the topic, they have little prior knowledge about the content, they do not see connections between the content and their future goals, and they have limited autonomy in their choice of a course (the course is required). In general, we find that across different institutions and instructors, students' motivation and self-regulation degrades. Through classroom observations, and student surveys we have evidence that specific faculty are able to help students maintain some of the positive motivational orientations students bring to the class. The MSLQ contains 15 subscales, six measure motivation (e.g., task value, self-efficacy), and nine focus on different learning strategies (e.g., elaboration, effort regulation). Regardless of institution or instructor, MSLQ scores on many subscales declined from beginning to the end of the semester indicating that students lost confidence and adopted less effective learning strategies as the semester progressed. Our results suggest that instructors can use a variety of approaches to improve aspects of student motivation and learning. These interventions may range from simple opportunities for students to reflect on their learning to more sophisticated efforts to help students develop greater confidence in their ability or interest in the topic. Such interventions require a reallocation of time in or out of the classroom, and may involve a significant effort by instructors.

Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning.

PubMed

Doll, Bradley B; Bath, Kevin G; Daw, Nathaniel D; Frank, Michael J

2016-01-27

Considerable evidence suggests that multiple learning systems can drive behavior. Choice can proceed reflexively from previous actions and their associated outcomes, as captured by "model-free" learning algorithms, or flexibly from prospective consideration of outcomes that might occur, as captured by "model-based" learning algorithms. However, differential contributions of dopamine to these systems are poorly understood. Dopamine is widely thought to support model-free learning by modulating plasticity in striatum. Model-based learning may also be affected by these striatal effects, or by other dopaminergic effects elsewhere, notably on prefrontal working memory function. Indeed, prominent demonstrations linking striatal dopamine to putatively model-free learning did not rule out model-based effects, whereas other studies have reported dopaminergic modulation of verifiably model-based learning, but without distinguishing a prefrontal versus striatal locus. To clarify the relationships between dopamine, neural systems, and learning strategies, we combine a genetic association approach in humans with two well-studied reinforcement learning tasks: one isolating model-based from model-free behavior and the other sensitive to key aspects of striatal plasticity. Prefrontal function was indexed by a polymorphism in the COMT gene, differences of which reflect dopamine levels in the prefrontal cortex. This polymorphism has been associated with differences in prefrontal activity and working memory. Striatal function was indexed by a gene coding for DARPP-32, which is densely expressed in the striatum where it is necessary for synaptic plasticity. We found evidence for our hypothesis that variations in prefrontal dopamine relate to model-based learning, whereas variations in striatal dopamine function relate to model-free learning. Decisions can stem reflexively from their previously associated outcomes or flexibly from deliberative consideration of potential choice outcomes. Research implicates a dopamine-dependent striatal learning mechanism in the former type of choice. Although recent work has indicated that dopamine is also involved in flexible, goal-directed decision-making, it remains unclear whether it also contributes via striatum or via the dopamine-dependent working memory function of prefrontal cortex. We examined genetic indices of dopamine function in these regions and their relation to the two choice strategies. We found that striatal dopamine function related most clearly to the reflexive strategy, as previously shown, and that prefrontal dopamine related most clearly to the flexible strategy. These findings suggest that dissociable brain regions support dissociable choice strategies. Copyright © 2016 the authors 0270-6474/16/361211-12$15.00/0.

Supporting Scientific Experimentation and Reasoning in Young Elementary School Students

NASA Astrophysics Data System (ADS)

Varma, Keisha

2014-06-01

Researchers from multiple perspectives have shown that young students can engage in the scientific reasoning involved in science experimentation. However, there is little research on how well these young students learn in inquiry-based learning environments that focus on using scientific experimentation strategies to learn new scientific information. This work investigates young children's science concept learning via inquiry-based instruction on the thermodynamics system in a developmentally appropriate, technology-supported learning environment. First- and third-grade students participate in three sets of guided experimentation activities that involve using handheld computers to measure change in temperature given different types of insulation materials. Findings from pre- and post-comparisons show that students at both grade levels are able to learn about the thermodynamics system through engaging in the guided experiment activities. The instruction groups outperformed the control groups on multiple measures of thermodynamics knowledge, and the older children outperform the younger children. Knowledge gains are discussed in the context of mental models of the thermodynamics system that include the individual concepts mentioned above and the relationships between them. This work suggests that young students can benefit from science instruction centered on experimentation activities. It shows the benefits of presenting complex scientific information authentic contexts and the importance of providing the necessary scaffolding for meaningful scientific inquiry and experimentation.

Developing a multi-method approach to data collection and analysis for explaining the learning during simulation in undergraduate nurse education.

PubMed

Bland, Andrew J; Tobbell, Jane

2015-11-01

Simulation has become an established feature of undergraduate nurse education and as such requires extensive investigation. Research limited to pre-constructed categories imposed by some questionnaire and interview methods may only provide partial understanding. This is problematic in understanding the mechanisms of learning in simulation-based education as contemporary distributed theories of learning posit that learning can be understood as the interaction of individual identity with context. This paper details a method of data collection and analysis that captures interaction of individuals within the simulation experience which can be analysed through multiple lenses, including context and through the lens of both researcher and learner. The study utilised a grounded theory approach involving 31 under-graduate third year student nurses. Data was collected and analysed through non-participant observation, digital recordings of simulation activity and focus group deconstruction of their recorded simulation by the participants and researcher. Focus group interviews enabled further clarification. The method revealed multiple levels of dynamic data, concluding that in order to better understand how students learn in social and active learning strategies, dynamic data is required enabling researchers and participants to unpack what is happening as it unfolds in action. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Randomized Crossover Design to Assess Learning Impact and Student Preference for Active and Passive Online Learning Modules.

PubMed

Prunuske, Amy J; Henn, Lisa; Brearley, Ann M; Prunuske, Jacob

Medical education increasingly involves online learning experiences to facilitate the standardization of curriculum across time and space. In class, delivering material by lecture is less effective at promoting student learning than engaging students in active learning experience and it is unclear whether this difference also exists online. We sought to evaluate medical student preferences for online lecture or online active learning formats and the impact of format on short- and long-term learning gains. Students participated online in either lecture or constructivist learning activities in a first year neurologic sciences course at a US medical school. In 2012, students selected which format to complete and in 2013, students were randomly assigned in a crossover fashion to the modules. In the first iteration, students strongly preferred the lecture modules and valued being told "what they need to know" rather than figuring it out independently. In the crossover iteration, learning gains and knowledge retention were found to be equivalent regardless of format, and students uniformly demonstrated a strong preference for the lecture format, which also on average took less time to complete. When given a choice for online modules, students prefer passive lecture rather than completing constructivist activities, and in the time-limited environment of medical school, this choice results in similar performance on multiple-choice examinations with less time invested. Instructors need to look more carefully at whether assessments and learning strategies are helping students to obtain self-directed learning skills and to consider strategies to help students learn to value active learning in an online environment.

Cleared for Launch - Lessons Learned from the OSIRIS-REx System Requirements Verification Program

NASA Technical Reports Server (NTRS)

Stevens, Craig; Adams, Angela; Williams, Bradley; Goodloe, Colby

2017-01-01

Requirements verification of a large flight system is a challenge. It is especially challenging for engineers taking on their first role in space systems engineering. This paper describes our approach to verification of the Origins, Spectral Interpretation, Resource Identification, Security-Regolith Explorer (OSIRIS-REx) system requirements. It also captures lessons learned along the way from developing systems engineers embroiled in this process. We begin with an overview of the mission and science objectives as well as the project requirements verification program strategy. A description of the requirements flow down is presented including our implementation for managing the thousands of program and element level requirements and associated verification data. We discuss both successes and methods to improve the managing of this data across multiple organizational interfaces. Our approach to verifying system requirements at multiple levels of assembly is presented using examples from our work at instrument, spacecraft, and ground segment levels. We include a discussion of system end-to-end testing limitations and their impacts to the verification program. Finally, we describe lessons learned that are applicable to all emerging space systems engineers using our unique perspectives across multiple organizations of a large NASA program.

Analysis of Student-Evaluation Data on the Teaching of Fundamental Physics in an Introductory Technology Course, Paying Attention to Students‧ Earnestness to Learn

NASA Astrophysics Data System (ADS)

Nishida, Masahiko

How student evaluations of the teaching of fundamental physics for engineering relate to teaching strategy from academic 2004 to 2006 has been studied, focusing on students‧ earnestness to learn. The teaching emphasized instructing theoretical concepts for 2004 and solving problems for 2005. The instruction during 2006 offered a good balance between the strategy for 2004 and that for 2005. The first and second components produced by principal-component analysis of the evaluation data have indicated the quality of instruction and the scholastic ability of students, respectively, independent of the teaching strategy. While correlation between the second component and the degree of earnestness was positive for 2004 and negative for 2005, the correlation for 2006 has been negligible, as expected. Multiple-regression analysis between the evaluation data and students‧ exam scores has shown little correlation for 2006, in contrast to that for 2004, but similar to that for 2005. Finally, we can say that the teaching strategy for 2006 would lead to educational effects similar to those in 2005 when the exam scores were notably improved.

Multiagent cooperation and competition with deep reinforcement learning.

PubMed

Tampuu, Ardi; Matiisen, Tambet; Kodelja, Dorian; Kuzovkin, Ilya; Korjus, Kristjan; Aru, Juhan; Aru, Jaan; Vicente, Raul

2017-01-01

Evolution of cooperation and competition can appear when multiple adaptive agents share a biological, social, or technological niche. In the present work we study how cooperation and competition emerge between autonomous agents that learn by reinforcement while using only their raw visual input as the state representation. In particular, we extend the Deep Q-Learning framework to multiagent environments to investigate the interaction between two learning agents in the well-known video game Pong. By manipulating the classical rewarding scheme of Pong we show how competitive and collaborative behaviors emerge. We also describe the progression from competitive to collaborative behavior when the incentive to cooperate is increased. Finally we show how learning by playing against another adaptive agent, instead of against a hard-wired algorithm, results in more robust strategies. The present work shows that Deep Q-Networks can become a useful tool for studying decentralized learning of multiagent systems coping with high-dimensional environments.

Cavity approach to noisy learning in nonlinear perceptrons.

PubMed

Luo, P; Michael Wong, K Y

2001-12-01

We analyze the learning of noisy teacher-generated examples by nonlinear and differentiable student perceptrons using the cavity method. The generic activation of an example is a function of the cavity activation of the example, which is its activation in the perceptron that learns without the example. Mean-field equations for the macroscopic parameters and the stability condition yield results consistent with the replica method. When a single value of the cavity activation maps to multiple values of the generic activation, there is a competition in learning strategy between preferentially learning an example and sacrificing it in favor of the background adjustment. We find parameter regimes in which examples are learned preferentially or sacrificially, leading to a gap in the activation distribution. Full phase diagrams of this complex system are presented, and the theory predicts the existence of a phase transition from poor to good generalization states in the system. Simulation results confirm the theoretical predictions.

Multiagent cooperation and competition with deep reinforcement learning

PubMed Central

Kodelja, Dorian; Kuzovkin, Ilya; Korjus, Kristjan; Aru, Juhan; Aru, Jaan; Vicente, Raul

2017-01-01

Evolution of cooperation and competition can appear when multiple adaptive agents share a biological, social, or technological niche. In the present work we study how cooperation and competition emerge between autonomous agents that learn by reinforcement while using only their raw visual input as the state representation. In particular, we extend the Deep Q-Learning framework to multiagent environments to investigate the interaction between two learning agents in the well-known video game Pong. By manipulating the classical rewarding scheme of Pong we show how competitive and collaborative behaviors emerge. We also describe the progression from competitive to collaborative behavior when the incentive to cooperate is increased. Finally we show how learning by playing against another adaptive agent, instead of against a hard-wired algorithm, results in more robust strategies. The present work shows that Deep Q-Networks can become a useful tool for studying decentralized learning of multiagent systems coping with high-dimensional environments. PMID:28380078

The effect of scaffolded strategies on content learning in a designed science cyberlearning environment

NASA Astrophysics Data System (ADS)

Kern, Cynthia Lee

Scientific inscriptions---graphs, diagrams, and data---and argumentation are integral to generating and communicating scientific understanding. Scientific inscriptions and argumentation are also important to learning science. However, previous research has indicated that learners struggle to understand and learn science content represented in inscriptions. Furthermore, when learners engage in argumentation, learning science content becomes secondary to the learning of argumentation skills. This design-based research study is nested within the larger effort to inform the design and development of the 5-Featured Dynamic Inquiry Enterprise design framework (5-DIE) for cyberlearning environments and to advance theory associated with the difficulties learners have with scientific inscriptions and the consequences related to using argumentation to learn science content. In an attempt to engage participants in the process of learning science content with scientific inscriptions and argumentation, two learning strategies were embedded in a 5-DIE lessons. The two learning strategies evaluated in this study were (1) self-explanation prompts paired with a scientific inscription and (2) faded worked examples for the evaluation and development of scientific knowledge claims. The participants consisted of ninth and tenth grade students (age: 13-16 years; N=245) enrolled in one of three state-mandated biology courses taught by four different teachers. A three factor mixed model analysis of variance (ANOVA) with two between factors (self-explanation prompts and faded worked examples) and one within factor (pre, post, delayed post-test) was used to evaluate the effects of the learning strategies on the acquisition and retention of domain-specific content knowledge. Both between factors had two levels (with & without) and are described by the following experimental conditions: (1) control condition (general prompts), (2) self-explanation condition, (3) faded worked examples condition, and (4) combined condition with both self-explanation and faded worked examples. Acquisition and retention of content knowledge was assessed with a 17-item multiple-choice, researcher-developed content knowledge test. Results indicated that self-explanation prompts and faded worked examples learning strategies did not influence acquisition and retention of science content in a positive (i.e., learning) way. Based on the finding of this study, it may be concluded that the use of general prompts is as effective as self-explanation prompts and faded worked examples for scaffolding learner engagement with scientific inscriptions and argumentation. Furthermore, the finding indicated additional research is warranted evaluating the generalizability of scaffolds from college to pre-college populations.

Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter optimization approach.

PubMed

Hussain, Lal

2018-06-01

Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the brain. The research reveals that brain activity is monitored through electroencephalogram (EEG) of patients suffered from seizure to detect the epileptic seizure. The performance of EEG detection based epilepsy require feature extracting strategies. In this research, we have extracted varying features extracting strategies based on time and frequency domain characteristics, nonlinear, wavelet based entropy and few statistical features. A deeper study was undertaken using novel machine learning classifiers by considering multiple factors. The support vector machine kernels are evaluated based on multiclass kernel and box constraint level. Likewise, for K-nearest neighbors (KNN), we computed the different distance metrics, Neighbor weights and Neighbors. Similarly, the decision trees we tuned the paramours based on maximum splits and split criteria and ensemble classifiers are evaluated based on different ensemble methods and learning rate. For training/testing tenfold Cross validation was employed and performance was evaluated in form of TPR, NPR, PPV, accuracy and AUC. In this research, a deeper analysis approach was performed using diverse features extracting strategies using robust machine learning classifiers with more advanced optimal options. Support Vector Machine linear kernel and KNN with City block distance metric give the overall highest accuracy of 99.5% which was higher than using the default parameters for these classifiers. Moreover, highest separation (AUC = 0.9991, 0.9990) were obtained at different kernel scales using SVM. Additionally, the K-nearest neighbors with inverse squared distance weight give higher performance at different Neighbors. Moreover, to distinguish the postictal heart rate oscillations from epileptic ictal subjects, and highest performance of 100% was obtained using different machine learning classifiers.

Recruiting and motivating black subjects to complete a lengthy survey in a large cohort study: an exploration of different strategies

PubMed Central

2014-01-01

Background The effectiveness of multiple innovative recruitment strategies for enrolling Black/African American participants to the Adventist Health Study-2 (AHS-2) is described. The study’s focus is diet and breast, prostate and colon cancer. Methods Promotions centered on trust, relationship building and incentives for increasing enrollment and questionnaire return rate. Of the sub-studies described, one had a randomized control group, and the others, informal controls. The subjects are from all states of the U.S. and some provinces of Canada. The offer of a Black art piece, follow-up calls, a competitive tournament as well as other strategies accounted for nearly 3,000 additional returns even though they were often used in small subsets. Results Flexibility and multiple strategies proved advantageous in gaining the cooperation of Blacks, who are usually reluctant to participate in research studies. Conclusions Lessons learned during initial enrollment should help us retain our final Black cohort of 26,000, and obtain new information when required. PMID:24708740

Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion.

PubMed

Wang, Yang; Zhang, Wenjie; Wu, Lin; Lin, Xuemin; Zhao, Xiang

2017-01-01

Learning an ideal metric is crucial to many tasks in computer vision. Diverse feature representations may combat this problem from different aspects; as visual data objects described by multiple features can be decomposed into multiple views, thus often provide complementary information. In this paper, we propose a cross-view fusion algorithm that leads to a similarity metric for multiview data by systematically fusing multiple similarity measures. Unlike existing paradigms, we focus on learning distance measure by exploiting a graph structure of data samples, where an input similarity matrix can be improved through a propagation of graph random walk. In particular, we construct multiple graphs with each one corresponding to an individual view, and a cross-view fusion approach based on graph random walk is presented to derive an optimal distance measure by fusing multiple metrics. Our method is scalable to a large amount of data by enforcing sparsity through an anchor graph representation. To adaptively control the effects of different views, we dynamically learn view-specific coefficients, which are leveraged into graph random walk to balance multiviews. However, such a strategy may lead to an over-smooth similarity metric where affinities between dissimilar samples may be enlarged by excessively conducting cross-view fusion. Thus, we figure out a heuristic approach to controlling the iteration number in the fusion process in order to avoid over smoothness. Extensive experiments conducted on real-world data sets validate the effectiveness and efficiency of our approach.

Learning to Control Advanced Life Support Systems

NASA Technical Reports Server (NTRS)

Subramanian, Devika

2004-01-01

Advanced life support systems have many interacting processes and limited resources. Controlling and optimizing advanced life support systems presents unique challenges. In particular, advanced life support systems are nonlinear coupled dynamical systems and it is difficult for humans to take all interactions into account to design an effective control strategy. In this project. we developed several reinforcement learning controllers that actively explore the space of possible control strategies, guided by rewards from a user specified long term objective function. We evaluated these controllers using a discrete event simulation of an advanced life support system. This simulation, called BioSim, designed by Nasa scientists David Kortenkamp and Scott Bell has multiple, interacting life support modules including crew, food production, air revitalization, water recovery, solid waste incineration and power. They are implemented in a consumer/producer relationship in which certain modules produce resources that are consumed by other modules. Stores hold resources between modules. Control of this simulation is via adjusting flows of resources between modules and into/out of stores. We developed adaptive algorithms that control the flow of resources in BioSim. Our learning algorithms discovered several ingenious strategies for maximizing mission length by controlling the air and water recycling systems as well as crop planting schedules. By exploiting non-linearities in the overall system dynamics, the learned controllers easily out- performed controllers written by human experts. In sum, we accomplished three goals. We (1) developed foundations for learning models of coupled dynamical systems by active exploration of the state space, (2) developed and tested algorithms that learn to efficiently control air and water recycling processes as well as crop scheduling in Biosim, and (3) developed an understanding of the role machine learning in designing control systems for advanced life support.

Concept-Based Learning in Clinical Experiences: Bringing Theory to Clinical Education for Deep Learning.

PubMed

Nielsen, Ann

2016-07-01

Concept-based learning is used increasingly in nursing education to support the organization, transfer, and retention of knowledge. Concept-based learning activities (CBLAs) have been used in clinical education to explore key aspects of the patient situation and principles of nursing care, without responsibility for total patient care. The nature of best practices in teaching and the resultant learning are not well understood. The purpose of this multiple-case study research was to explore and describe concept-based learning in the context of clinical education in inpatient settings. Four clinical groups (each a case) were observed while they used CBLAs in the clinical setting. Major findings include that concept-based learning fosters deep learning, connection of theory with practice, and clinical judgment. Strategies used to support learning, major teaching-learning foci, and preconditions for concept-based teaching and learning will be described. Concept-based learning is promising to support integration of theory with practice and clinical judgment through application experiences with patients. [J Nurs Educ. 2016;55(7):365-371.]. Copyright 2016, SLACK Incorporated.

Classroom Interpreting and Visual Information Processing in Mainstream Education for Deaf Students: Live or Memorex®?

PubMed Central

Marschark, Marc; Pelz, Jeff B.; Convertino, Carol; Sapere, Patricia; Arndt, Mary Ellen; Seewagen, Rosemarie

2006-01-01

This study examined visual information processing and learning in classrooms including both deaf and hearing students. Of particular interest were the effects on deaf students’ learning of live (three-dimensional) versus video-recorded (two-dimensional) sign language interpreting and the visual attention strategies of more and less experienced deaf signers exposed to simultaneous, multiple sources of visual information. Results from three experiments consistently indicated no differences in learning between three-dimensional and two-dimensional presentations among hearing or deaf students. Analyses of students’ allocation of visual attention and the influence of various demographic and experimental variables suggested considerable flexibility in deaf students’ receptive communication skills. Nevertheless, the findings also revealed a robust advantage in learning in favor of hearing students. PMID:16628250

The Use of Indigenous Languages in Early Basic Education in Papua New Guinea: A Model for Elsewhere?

ERIC Educational Resources Information Center

Klaus, David

2003-01-01

Suggests Papua New Guinea offers a practical example of how a small, multilingual country with limited resources has developed a package of strategies for dealing with the challenges of multilingualism and using its multiplicity of languages in education as a tool for improving teaching and learning, saving resources, and moving towards education…

Role of Working Memory and Strategy-Use in Feedback Effects on Children's Progression in Analogy Solving:an Explanatory Item Response Theory Account

ERIC Educational Resources Information Center

Stevenson, Claire E.

2017-01-01

This study contrasted the effects of tutoring, multiple try and no feedback on children's progression in analogy solving and examined individual differences herein. Feedback that includes additional hints or explanations leads to the greatest learning gains in adults. However, children process feedback differently from adults and effective…

Seeing Chemistry through the Eyes of the Blind: A Case Study Examining Multiple Gas Law Representations

ERIC Educational Resources Information Center

Harshman, Jordan; Bretz, Stacey Lowery; Yezierski, Ellen

2013-01-01

Adequately accommodating students who are blind or low-vision (BLV) in the sciences has been a focus of recent inquiry, but much of the research to date has addressed broad accommodations rather than devising and testing specific teaching strategies that respond to the unique challenges of BLV students learning chemistry. This case study seeks to…

Medical Students' vs. Family Physicians' Assessment of Practical and Logical Values of Pathophysiology Multiple-Choice Questions

ERIC Educational Resources Information Center

Secic, Damir; Husremovic, Dzenana; Kapur, Eldan; Jatic, Zaim; Hadziahmetovic, Nina; Vojnikovic, Benjamin; Fajkic, Almir; Meholjic, Amir; Bradic, Lejla; Hadzic, Amila

2017-01-01

Testing strategies can either have a very positive or negative effect on the learning process. The aim of this study was to examine the degree of consistency in evaluating the practicality and logic of questions from a medical school pathophysiology test, between students and family medicine doctors. The study engaged 77 family medicine doctors…

"Who I Work with Is Important": Dyslexic Students' Narratives about the Benefits of Grouping for Instruction in Caribbean Classrooms

ERIC Educational Resources Information Center

Blackman, Stacey

2010-01-01

This article utilises a multiple case study strategy to explore the narratives of Caribbean students with dyslexia on grouping for instruction. It presents a model on learner engagement which highlights students' cognitions about the social and cognitive aspects of learning and the processes that contribute to building knowledge and understanding.…

Emotion Self-Regulation: A Mixed-Methods Intervention Study of Socioemotional and Reading Outcomes of High School Students with Reading Difficulties

ERIC Educational Resources Information Center

Novosel, Leslie C.

2012-01-01

Employing multiple methods, including a comparison group pre/posttest design and student interviews and self-reflections, this study represents an initial attempt to investigate the efficacy of a social and emotional learning self-regulation strategy relative to the general reading ability, reading self-concept, and social and emotional well-being…

Using Cognitive Agents to Train Negotiation Skills

PubMed Central

Stevens, Christopher A.; Daamen, Jeroen; Gaudrain, Emma; Renkema, Tom; Top, Jakob Dirk; Cnossen, Fokie; Taatgen, Niels A.

2018-01-01

Training negotiation is difficult because it is a complex, dynamic activity that involves multiple parties. It is often not clear how to create situations in which students can practice negotiation or how to measure students' progress. Some have begun to address these issues by creating artificial software agents with which students can train. These agents have the advantage that they can be “reset,” and played against multiple times. This allows students to learn from their mistakes and try different strategies. However, these agents are often based on normative theories of how negotiators should conduct themselves, not necessarily how people actually behave in negotiations. Here, we take a step toward addressing this gap by developing an agent grounded in a cognitive architecture, ACT-R. This agent contains a model of theory-of-mind, the ability of humans to reason about the mental states of others. It uses this model to try to infer the strategy of the opponent and respond accordingly. In a series of experiments, we show that this agent replicates some aspects of human performance, is plausible to human negotiators, and can lead to learning gains in a small-scale negotiation task. PMID:29535654

Using Cognitive Agents to Train Negotiation Skills.

PubMed

Stevens, Christopher A; Daamen, Jeroen; Gaudrain, Emma; Renkema, Tom; Top, Jakob Dirk; Cnossen, Fokie; Taatgen, Niels A

2018-01-01

Training negotiation is difficult because it is a complex, dynamic activity that involves multiple parties. It is often not clear how to create situations in which students can practice negotiation or how to measure students' progress. Some have begun to address these issues by creating artificial software agents with which students can train. These agents have the advantage that they can be "reset," and played against multiple times. This allows students to learn from their mistakes and try different strategies. However, these agents are often based on normative theories of how negotiators should conduct themselves, not necessarily how people actually behave in negotiations. Here, we take a step toward addressing this gap by developing an agent grounded in a cognitive architecture, ACT-R. This agent contains a model of theory-of-mind, the ability of humans to reason about the mental states of others. It uses this model to try to infer the strategy of the opponent and respond accordingly. In a series of experiments, we show that this agent replicates some aspects of human performance, is plausible to human negotiators, and can lead to learning gains in a small-scale negotiation task.

Multiple fault separation and detection by joint subspace learning for the health assessment of wind turbine gearboxes

NASA Astrophysics Data System (ADS)

Du, Zhaohui; Chen, Xuefeng; Zhang, Han; Zi, Yanyang; Yan, Ruqiang

2017-09-01

The gearbox of a wind turbine (WT) has dominant failure rates and highest downtime loss among all WT subsystems. Thus, gearbox health assessment for maintenance cost reduction is of paramount importance. The concurrence of multiple faults in gearbox components is a common phenomenon due to fault induction mechanism. This problem should be considered before planning to replace the components of the WT gearbox. Therefore, the key fault patterns should be reliably identified from noisy observation data for the development of an effective maintenance strategy. However, most of the existing studies focusing on multiple fault diagnosis always suffer from inappropriate division of fault information in order to satisfy various rigorous decomposition principles or statistical assumptions, such as the smooth envelope principle of ensemble empirical mode decomposition and the mutual independence assumption of independent component analysis. Thus, this paper presents a joint subspace learning-based multiple fault detection (JSL-MFD) technique to construct different subspaces adaptively for different fault patterns. Its main advantage is its capability to learn multiple fault subspaces directly from the observation signal itself. It can also sparsely concentrate the feature information into a few dominant subspace coefficients. Furthermore, it can eliminate noise by simply performing coefficient shrinkage operations. Consequently, multiple fault patterns are reliably identified by utilizing the maximum fault information criterion. The superiority of JSL-MFD in multiple fault separation and detection is comprehensively investigated and verified by the analysis of a data set of a 750 kW WT gearbox. Results show that JSL-MFD is superior to a state-of-the-art technique in detecting hidden fault patterns and enhancing detection accuracy.

A model of influences on the clinical learning environment: the case for change at one U.S. medical school.

PubMed

Fleit, Howard B; Iuli, Richard J; Fischel, Janet E; Lu, Wei-Hsin; Chandran, Latha

2017-03-23

The learning environment within a school of medicine influences medical students' values and their professional development. Despite national requirements to monitor the learning environment, mistreatment of medical students persists. We designed a program called WE SMILE: We can Eradicate Student Mistreatment In the Learning Environment with a vision to enhance trainee and faculty awareness and ultimately eliminate medical student mistreatment. We provide a description of our program and early outcomes. The program has enhanced student awareness of what constitutes mistreatment and how to report it. Faculty members are also aware of the formal processes and procedures for review of such incidents. Our proposed model of influences on the learning environment and the clinical workforce informs the quality of trainee education and safety of patient care. Institutional leadership and culture play a prominent role in this model. Our integrated institutional response to learning environment concerns is offered as a strategy to improve policy awareness, reporting and management of student mistreatment concerns. Our WE SMILE program was developed to enhance education and awareness of what constitutes mistreatment and to provide multiple pathways for student reporting, with clear responsibilities for review, adjudication and enforcement. The program is demonstrating several signs of early success and is offered as a strategy for other schools to adopt or adapt. We have recognized a delicate balance between preserving student anonymity and informing them of specific actions taken. Providing students and other stakeholders with clear evidence of institutional response and accountability remains a key challenge. Multiple methods of reporting have been advantageous in eliciting information on learning environment infringements. These routes and types of reporting have enhanced our understanding of student perceptions and the specific contexts in which mistreatment occurs, allowing for targeted interventions. A common platform across the healthcare professions to report and review concerns has afforded us opportunities to deal with interprofessional issues in a respectful and trustworthy manner. We offer a model of learning environment influences with leadership and institutional culture at the helm, as a way to frame a comprehensive perspective on this challenging and complex concern.

Different patterns of oviposition learning in two closely related ectoparasitoid wasps with contrasting reproductive strategies

NASA Astrophysics Data System (ADS)

Sasakawa, Kôji; Uchijima, Kenta; Shibao, Harunobu; Shimada, Masakazu

2013-02-01

Many parasitoid wasps learn host-associated cues and use them in subsequent host-searching behavior. This associative learning, namely "oviposition learning," has been investigated in many studies. However, few studies have compared multiple species, and no comparative study has previously been conducted on ectoparasitoid species. We compared the effects of oviposition learning on host preference and offspring sex ratio in two closely related ectoparasitoid wasps with contrasting reproductive strategies, Anisopteromalus calandrae (r-strategist) and its sibling species (K-strategist). Using two bruchine hosts, Callosobruchus chinensis and Callosobruchus maculatus larvae infesting the cowpea Vigna unguiculata, oviposition choice experiments were performed at high and low host densities. In both species, no conspicuous effect on the offspring sex ratio was detected, but effects on host preference were found to differ between the species. In A. calandrae, the effects were detected only at high host density, suggesting that oviposition learning plays a role in host discrimination from a short distance but not from a long distance. In the sibling species, those effects were not detected in any of the cases, suggesting the absence of oviposition learning. These results are compatible with those of previous comparative studies of endoparasitoid wasps in that few lifetime oviposition experiences and/or low reward per foraging decision result in low or absent oviposition learning ability. This finding may indicate that ecological traits contributing to learning ability are similar between endoparasitoid and ectoparasitoid wasps. Thus, our species comparison of ectoparasitoids provides another model system for investigating learning and memory dynamics in parasitoid wasps.

A multicontext approach to promoting transfer of strategy use and self regulation after brain injury: An exploratory study.

PubMed

Toglia, Joan; Johnston, Mark V; Goverover, Yael; Dain, Barry

2010-01-01

Persons with brain injury frequently demonstrate decreased ability to monitor and apply strategies learned in treatment to everyday situations. The aim of this study is to refine, explore and provide preliminary testing of the multicontext approach in promoting strategy use across situations and increasing self-regulation, awareness and functional performance. This study used a single-subject design with repeated measures pre- and post-intervention, with data analysed descriptively and graphically. Four persons with difficulty following multi-step directions, 3-5 years post-TBI, received a nine session intervention programme. Outcome measures included the Awareness Questionnaire, Self-Regulation Skills Interview, Behavior Rating Inventory of Executive Function, Multiple Errands Test and an Executive Function Performance Test sub-task. The process of change within each treatment session was examined with strategy and awareness ratings. All participants demonstrated positive changes in self-regulatory skills and strategy use that was observed across tasks. As expected, general awareness of deficits remained unchanged. Examination of individual participants revealed important, varying patterns of change in strategy use, learning transfer and self-awareness across intervention. Results provide preliminary support for the feasibility and efficacy of the multicontext approach in promoting transfer of strategy use to enhance functional performance and selective aspects of awareness. Further investigation, including a larger controlled study, is needed to confirm or limit these observations.

A comparison of distance education instructional methods in occupational therapy.

PubMed

Jedlicka, Janet S; Brown, Sarah W; Bunch, Ashley E; Jaffe, Lynn E

2002-01-01

The progression of technology is rapidly bringing new opportunities to students and academic institutions, resulting in a need for additional information to determine the most effective strategies for teaching distance learners. The purpose of this study was to compare the effectiveness of three instructional strategies (two-way interactive video and audio, chat rooms, and independent learning) and student preferences regarding instructional methods in a mental health programming distance learning course. Precourse and postcourse surveys were completed by 22 occupational therapy students enrolled in the course. Effectiveness of the teaching methods was determined based on the results of students' examinations. The findings indicated that there were no statistically significant differences in student performance on multiple-choice examinations using the three instructional methods. Of students, 77% indicated a preference for two-way interactive video and audio instruction. To provide effective education via distance learning methods, faculty members need to structure assignments that facilitate interaction and communication among learners. As distance education becomes more commonplace, it is important to identify the methods of instruction that are the most effective in delivering essential course content and the methods that provide the atmosphere most conducive to learning.

An exploratory trial exploring the use of a multiple intelligences teaching approach (MITA) for teaching clinical skills to first year undergraduate nursing students.

PubMed

Sheahan, Linda; While, Alison; Bloomfield, Jacqueline

2015-12-01

The teaching and learning of clinical skills is a key component of nurse education programmes. The clinical competency of pre-registration nursing students has raised questions about the proficiency of teaching strategies for clinical skill acquisition within pre-registration education. This study aimed to test the effectiveness of teaching clinical skills using a multiple intelligences teaching approach (MITA) compared with the conventional teaching approach. A randomised controlled trial was conducted. Participants were randomly allocated to an experimental group (MITA intervention) (n=46) and a control group (conventional teaching) (n=44) to learn clinical skills. Setting was in one Irish third-level educational institution. Participants were all first year nursing students (n=90) in one institution. The experimental group was taught using MITA delivered by the researcher while the control group was taught by a team of six experienced lecturers. Participant preference for learning was measured by the Index of Learning Styles (ILS). Participants' multiple intelligence (MI) preferences were measured with a multiple intelligences development assessment scale (MIDAS). All participants were assessed using the same objective structured clinical examination (OSCE) at the end of semester one and semester two. MI assessment preferences were measured by a multiple intelligences assessment preferences questionnaire. The MITA intervention was evaluated using a questionnaire. The strongest preference on ILS for both groups was the sensing style. The highest MI was interpersonal intelligence. Participants in the experimental group had higher scores in all three OSCEs (p<0.05) at Time 1, suggesting that MITA had a positive effect on clinical skill acquisition. Most participants favoured practical examinations, followed by multiple choice questions as methods of assessment. MITA was evaluated positively. The study findings support the use of MITA for clinical skills teaching and advance the understanding of how MI teaching approaches may be used in nursing education. Copyright © 2015 Elsevier Ltd. All rights reserved.

Modeling a student-classroom interaction in a tutorial-like system using learning automata.

PubMed

Oommen, B John; Hashem, M Khaled

2010-02-01

Almost all of the learning paradigms used in machine learning, learning automata (LA), and learning theory, in general, use the philosophy of a Student (learning mechanism) attempting to learn from a teacher. This paradigm has been generalized in a myriad of ways, including the scenario when there are multiple teachers or a hierarchy of mechanisms that collectively achieve the learning. In this paper, we consider a departure from this paradigm by allowing the Student to be a member of a classroom of Students, where, for the most part, we permit each member of the classroom not only to learn from the teacher(s) but also to "extract" information from any of his fellow Students. This paper deals with issues concerning the modeling, decision-making process, and testing of such a scenario within the LA context. The main result that we show is that a weak learner can actually benefit from this capability of utilizing the information that he gets from a superior colleague-if this information transfer is done appropriately. As far as we know, the whole concept of Students learning from both a teacher and from a classroom of Students is novel and unreported in the literature. The proposed Student-classroom interaction has been tested for numerous strategies and for different environments, including the established benchmarks, and the results show that Students can improve their learning by interacting with each other. For example, for some interaction strategies, a weak Student can improve his learning by up to 73% when interacting with a classroom of Students, which includes Students of various capabilities. In these interactions, the Student does not have a priori knowledge of the identity or characteristics of the Students who offer their assistance.

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

NASA Astrophysics Data System (ADS)

Babaie, Hassan; Atchison, Chris; Sunderraman, Rajshekhar

2014-05-01

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

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

Pachuilo, Andrew R; Ragan, Eric; Goodall, John R

Visualization tools can take advantage of multiple coordinated views to support analysis of large, multidimensional data sets. Effective design of such views and layouts can be challenging, but understanding users analysis strategies can inform design improvements. We outline an approach for intelligent design configuration of visualization tools with multiple coordinated views, and we discuss a proposed software framework to support the approach. The proposed software framework could capture and learn from user interaction data to automate new compositions of views and widgets. Such a framework could reduce the time needed for meta analysis of the visualization use and lead tomore » more effective visualization design.« less

Learning strategies during clerkships and their effects on clinical performance.

PubMed

van Lohuizen, M T; Kuks, J B M; van Hell, E A; Raat, A N; Cohen-Schotanus, J

2009-11-01

Previous research revealed relationships between learning strategies and knowledge acquisition. During clerkships, however, students' focus widens beyond mere knowledge acquisition as they further develop overall competence. This shift in focus can influence learning strategy use. We explored which learning strategies were used during clerkships and their relationship to clinical performance. Participants were 113 (78%) clerks at the university hospital or one of six affiliated hospitals. Learning strategies were assessed using the 'Approaches to Learning at Work Questionnaire' (deep, surface-rational and surface-disorganised learning). Clinical performance was calculated by taking the mean of clinical assessment marks. The relationship between learning strategies and clinical performance was explored using regression analysis. Most students (89%) did not clearly prefer a single learning strategy. No relationship was found between learning strategies and clinical performance. Since overall competence comprises integration of knowledge, skills and professional behaviour, we assume that students without a clear preference use more than one learning strategy. Finding no relationship between learning strategies and clinical performance reflects the complexity of clinical learning. Depending on circumstances it may be important to obtain relevant information quickly (surface-rational) or understand material thoroughly (deep). In future research we will examine when and why students use different learning strategies.

Toward a New Pluralism in ABE/ESOL Classrooms: Teaching to Multiple "Cultures of Mind." Research Monograph. NCSALL Reports.

ERIC Educational Resources Information Center

Kegan, Robert; Broderick, Maria; Drago-Severson, Eleanor; Helsing, Deborah; Popp, Nancy; Portnow, Kathryn

This document contains information about and from a study of the experiences of 41 adults enrolled in adult basic education/English for speakers of other languages (ABE/ESOL) programs that was conducted to determine what their learning meant to them and to identify strategies for developing a new pluralism in ABE/ESOL classrooms and teaching to…

Proceedings of the Conference of the International Group for the Psychology of Mathematics Education (22nd, Stellenbosch, South Africa, July 12-17, 1998). Volume 2.

ERIC Educational Resources Information Center

Olivier, Alwyn, Ed.; Newstead, Karen, Ed.

The second volume of this proceedings contains the first portion of the research reports. Papers include: (1) "Learning Algebraic Strategies Using a Computerized Balance Model" (James Aczel); (2) "Children's Perception of Multiplicative Structure in Diagrams" (Bjornar Alseth); (3) "A Discussion of Different Approaches to Arithmetic Teaching"…

Vocabulary Instruction and Mexican-American Bilingual Students: How Two High School Teachers Integrate Multiple Strategies to Build Word Consciousness in English Language Arts Classrooms

ERIC Educational Resources Information Center

Ajayi, Lasisi

2015-01-01

Despite the significance of vocabulary knowledge to student learning, limited studies have examined English language arts (ELA) teachers' skills and practices that may be effective for building word consciousness in high school Mexican-American bilingual students. The research objective of the present study is to examine how two high school ELA…

Cross-continuum Care Continuity: Achieving Seamless Care and Managing Comorbidities.

PubMed

Boston-Fleischhauer, Carol; Rose, Robert; Hartwig, Laurie

As healthcare systems continue to design care models responsive to payment changes and the assumption of clinical and financial risk, the need exists for a comprehensive approach to address cross-continuum care transitions. This article will highlight key learnings from the Nurse Executive Center's research on achieving care continuity. The business case for developing a cross-continuum care transition strategy will be discussed, as well as systemic enablers for the achievement of seamless care. A case study example of 1 system's solution for supporting the multiple comorbid patient population as part of its cross-continuum care transition strategy will be examined.

Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking.

PubMed

Bae, Seung-Hwan; Yoon, Kuk-Jin

2018-03-01

Online multi-object tracking aims at estimating the tracks of multiple objects instantly with each incoming frame and the information provided up to the moment. It still remains a difficult problem in complex scenes, because of the large ambiguity in associating multiple objects in consecutive frames and the low discriminability between objects appearances. In this paper, we propose a robust online multi-object tracking method that can handle these difficulties effectively. We first define the tracklet confidence using the detectability and continuity of a tracklet, and decompose a multi-object tracking problem into small subproblems based on the tracklet confidence. We then solve the online multi-object tracking problem by associating tracklets and detections in different ways according to their confidence values. Based on this strategy, tracklets sequentially grow with online-provided detections, and fragmented tracklets are linked up with others without any iterative and expensive association steps. For more reliable association between tracklets and detections, we also propose a deep appearance learning method to learn a discriminative appearance model from large training datasets, since the conventional appearance learning methods do not provide rich representation that can distinguish multiple objects with large appearance variations. In addition, we combine online transfer learning for improving appearance discriminability by adapting the pre-trained deep model during online tracking. Experiments with challenging public datasets show distinct performance improvement over other state-of-the-arts batch and online tracking methods, and prove the effect and usefulness of the proposed methods for online multi-object tracking.

Enhancing self-directed learning among Italian nursing students: A pre- and post-intervention study.

PubMed

Cadorin, L; Rei, A; Dante, A; Bulfone, T; Viera, G; Palese, A

2015-06-01

In accordance with Knowles's theory, self-directed learning (SDL) may be improved with tutorial strategies focused on guided reflection and critical analysis of the learning process. No evidence on effects on SDL abilities of different tutorial strategies offered to nursing students during the 1st clinical experience is available. To evaluate the effect of different tutorial strategies offered to nursing students on their SDL abilities. A pre-post intervention non-equivalent control group design was adopted in 2013. For the treatment group, structured and intensive tutorial interventions including different strategies such as briefing, debriefing, peer support, Socratic questioning, performed by university tutors were offered during the 1st clinical experience; for the control group, unstructured and non-intensive tutorial strategies were instead offered. Two Bachelor of Nursing Degree. Students awaiting their clinical experience (n=238) were the target sample. Those students who have completed the pre- and the post-intervention evaluation (201; 84.4%) were included in the analysis. SDL abilities were measured with the SRSSDL_ITA (Self Rating Scale of Self Directed Learning-Italian Version). A multiple linear regression analysis was developed to explore the predictive effect of individual, contextual and intervention variables. Three main factors explained the 36.8% of the adjusted variance in SDL scores have emerged: a) having received a lower clinical nurse-to-student supervision (B 9.086, β 2.874), b) having received higher level and structured tutorial intervention by university tutors (B 8.011, β 2.741), and c) having reported higher SDL scores at the baseline (B .550, β .556). A lower clinical nurse-to-student ratio (1:4), accompanied by unstructured and non-intensive tutorial intervention adopted by university tutors, seemed to be equivalent to an intensive clinical supervision (1:1) accompanied by higher level and structured tutorial strategies activated by the university tutors. Copyright © 2015 Elsevier Ltd. All rights reserved.

Creating a Community of Practice to Prevent Suicide Through Multiple Channels: Describing the Theoretical Foundations and Structured Learning of PC CARES.

PubMed

Wexler, Lisa; McEachern, Diane; DiFulvio, Gloria; Smith, Cristine; Graham, Louis F; Dombrowski, Kirk

2016-01-01

It is critical to develop practical, effective, ecological, and decolonizing approaches to indigenous suicide prevention and health promotion for the North American communities. The youth suicide rates in predominantly indigenous small, rural, and remote Northern communities are unacceptably high. This health disparity, however, is fairly recent, occurring over the last 50 to 100 years as communities experienced forced social, economic, and political change and intergenerational trauma. These conditions increase suicide risk and can reduce people's access to shared protective factors and processes. In this context, it is imperative that suicide prevention includes--at its heart--decolonization, while also utilizing the "best practices" from research to effectively address the issue from multiple levels. This article describes such an approach: Promoting Community Conversations About Research to End Suicide (PC CARES). PC CARES uses popular education strategies to build a "community of practice" among local and regional service providers, friends, and families that fosters personal and collective learning about suicide prevention in order to spur practical action on multiple levels to prevent suicide and promote health. This article will discuss the theoretical underpinnings of the community intervention and describe the form that PC CARES takes to structure ongoing dialogue, learning, solidarity, and multilevel mobilization for suicide prevention. © The Author(s) 2016.

Creating a Community of Practice to Prevent Suicide Through Multiple Channels: Describing the Theoretical Foundations and Structured Learning of PC CARES

PubMed Central

Wexler, Lisa; McEachern, Diane; DiFulvio, Gloria; Smith, Cristine; Graham, Louis F.; Dombrowski, Kirk

2016-01-01

It is critical to develop practical, effective, ecological, and decolonizing approaches to indigenous suicide prevention and health promotion for the North American communities. The youth suicide rates in predominantly indigenous small, rural, and remote Northern communities are unacceptably high. This health disparity, however, is fairly recent, occurring over the last 50 to 100 years as communities experienced forced social, economic, and political change and intergenerational trauma. These conditions increase suicide risk and can reduce people’s access to shared protective factors and processes. In this context, it is imperative that suicide prevention includes—at its heart—decolonization, while also utilizing the “best practices” from research to effectively address the issue from multiple levels. This article describes such an approach: Promoting Community Conversations About Research to End Suicide (PC CARES). PC CARES uses popular education strategies to build a “community of practice” among local and regional service providers, friends, and families that fosters personal and collective learning about suicide prevention in order to spur practical action on multiple levels to prevent suicide and promote health. This article will discuss the theoretical underpinnings of the community intervention and describe the form that PC CARES takes to structure ongoing dialogue, learning, solidarity, and multilevel mobilization for suicide prevention. PMID:26880738

Designing and evaluating a STEM teacher learning opportunity in the research university.

PubMed

Hardré, Patricia L; Ling, Chen; Shehab, Randa L; Herron, Jason; Nanny, Mark A; Nollert, Matthias U; Refai, Hazem; Ramseyer, Christopher; Wollega, Ebisa D

2014-04-01

This study examines the design and evaluation strategies for a year-long teacher learning and development experience, including their effectiveness, efficiency and recommendations for strategic redesign. Design characteristics include programmatic features and outcomes: cognitive, affective and motivational processes; interpersonal and social development; and performance activities. Program participants were secondary math and science teachers, partnered with engineering faculty mentors, in a research university-based education and support program. Data from multiple sources demonstrated strengths and weaknesses in design of the program's learning environment, including: face-to-face and via digital tools; on-site and distance community interactions; and strategic evaluation tools and systems. Implications are considered for the strategic design and evaluation of similar grant-funded research experiences intended to support teacher learning, development and transfer. Copyright © 2013 Elsevier Ltd. All rights reserved.

Case Studies of Multilingual/Multicultural Asian Deaf Adults: Strategies for Success.

PubMed

Wang, Qiuying; Andrews, Jean; Liu, Hsiu Tan; Liu, Chun Jung

2016-01-01

Case studies of adult d/Deaf or Hard of Hearing Multilingual Learners (DMLs) are few, especially studies of DMLs who learn more than one sign language and read logographic and alphabetic scripts. To reduce this paucity, two descriptive case studies are presented. Written questionnaires, face-to-face interviews, and self-appraisals of language-use rubrics were used to explore (a) the language and literacy histories of two adult Asian DMLs who had learned multiple languages: Chinese (spoken/written), English (written), Chinese Sign Language, and American Sign Language; and (b) how each language was used in different cultural communities with diverse conversational partners. Home literacy environment, family support, visual access to languages, peer and sibling support, role models, encouragement, perseverance, and Deaf identity all played vital roles in the participants' academic success. The findings provide insights into the acquisition of multiple languages and bi-literacy through social communication and academic content.

Automated detection of age-related macular degeneration in OCT images using multiple instance learning

NASA Astrophysics Data System (ADS)

Sun, Weiwei; Liu, Xiaoming; Yang, Zhou

2017-07-01

Age-related Macular Degeneration (AMD) is a kind of macular disease which mostly occurs in old people，and it may cause decreased vision or even lead to permanent blindness. Drusen is an important clinical indicator for AMD which can help doctor diagnose disease and decide the strategy of treatment. Optical Coherence Tomography (OCT) is widely used in the diagnosis of ophthalmic diseases, include AMD. In this paper, we propose a classification method based on Multiple Instance Learning (MIL) to detect AMD. Drusen can exist in a few slices of OCT images, and MIL is utilized in our method. We divided the method into two phases: training phase and testing phase. We train the initial features and clustered to create a codebook, and employ the trained classifier in the test set. Experiment results show that our method achieved high accuracy and effectiveness.

Reductions in aggressive behavior within the context of a universal, social emotional learning program: Classroom- and student-level mechanisms.

PubMed

Portnow, Sam; Downer, Jason T; Brown, Joshua

2018-06-01

The present study uses data from 35 third through fifth-grade urban classrooms and 531 students to examine the extent to which student-level social and emotional skills (e.g., low hostile attribution bias and low aggressive interpersonal negotiation strategies) and emotionally supportive learning environments predict aggressive behavior over the course of a school year. Results of multiple regression analyses indicated that across teacher-reported measures of aggressive behavior, more classroom emotional support over the course of the school year predicted less aggressive behavior in spring, particularly for children whose hostile attribution bias decreased over the course of the year. According to a child-reported measure of aggressive behavior, declines in aggressive interpersonal negotiation strategies over the course of the year also predicted less aggressive behavior in spring. Moreover, these results operated similarly across all children. Implications for SEL programs are discussed. Published by Elsevier Ltd.

Bringing mini-chalk talks to the bedside to enhance clinical teaching.

PubMed

Pitt, Michael B; Orlander, Jay D

2017-01-01

Chalk talks - where the teacher is equipped solely with a writing utensil and a writing surface - have been used for centuries, yet little has been written about strategies for their use in medical education. Structured education proximal to patient encounters (during rounds, at the bedside, or in between patients in clinic) maximizes the opportunities for clinical learning. This paper presents a strategy to bring mini-chalk talks (MCTs) to the bedside as a practical way to provide relevant clinical teaching by visually framing teachable moments. Grounded in adult learning theory, MCTs leverage teaching scripts to facilitate discussion, involve learners at multiple levels, and embrace the increased retention associated with visual aids. These authors provide specific recommendations for the design and implementation of MCT sessions including what topics work well, how to prepare, and how to involve and engage the learners. ADHD: Attention Deficit Hyperactivity Disorder; MCT: Mini-chalk talks.

Bringing mini-chalk talks to the bedside to enhance clinical teaching

PubMed Central

Pitt, Michael B.; Orlander, Jay D.

2017-01-01

ABSTRACT Chalk talks – where the teacher is equipped solely with a writing utensil and a writing surface – have been used for centuries, yet little has been written about strategies for their use in medical education. Structured education proximal to patient encounters (during rounds, at the bedside, or in between patients in clinic) maximizes the opportunities for clinical learning. This paper presents a strategy to bring mini-chalk talks (MCTs) to the bedside as a practical way to provide relevant clinical teaching by visually framing teachable moments. Grounded in adult learning theory, MCTs leverage teaching scripts to facilitate discussion, involve learners at multiple levels, and embrace the increased retention associated with visual aids. These authors provide specific recommendations for the design and implementation of MCT sessions including what topics work well, how to prepare, and how to involve and engage the learners. Abbreviations: ADHD: Attention Deficit Hyperactivity Disorder; MCT: Mini-chalk talks PMID:28178911

Exploring different strategies for imbalanced ADME data problem: case study on Caco-2 permeability modeling.

PubMed

Pham-The, Hai; Casañola-Martin, Gerardo; Garrigues, Teresa; Bermejo, Marival; González-Álvarez, Isabel; Nguyen-Hai, Nam; Cabrera-Pérez, Miguel Ángel; Le-Thi-Thu, Huong

2016-02-01

In many absorption, distribution, metabolism, and excretion (ADME) modeling problems, imbalanced data could negatively affect classification performance of machine learning algorithms. Solutions for handling imbalanced dataset have been proposed, but their application for ADME modeling tasks is underexplored. In this paper, various strategies including cost-sensitive learning and resampling methods were studied to tackle the moderate imbalance problem of a large Caco-2 cell permeability database. Simple physicochemical molecular descriptors were utilized for data modeling. Support vector machine classifiers were constructed and compared using multiple comparison tests. Results showed that the models developed on the basis of resampling strategies displayed better performance than the cost-sensitive classification models, especially in the case of oversampling data where misclassification rates for minority class have values of 0.11 and 0.14 for training and test set, respectively. A consensus model with enhanced applicability domain was subsequently constructed and showed improved performance. This model was used to predict a set of randomly selected high-permeability reference drugs according to the biopharmaceutics classification system. Overall, this study provides a comparison of numerous rebalancing strategies and displays the effectiveness of oversampling methods to deal with imbalanced permeability data problems.

Mixed-complexity artificial grammar learning in humans and macaque monkeys: evaluating learning strategies.

PubMed

Wilson, Benjamin; Smith, Kenny; Petkov, Christopher I

2015-03-01

Artificial grammars (AG) can be used to generate rule-based sequences of stimuli. Some of these can be used to investigate sequence-processing computations in non-human animals that might be related to, but not unique to, human language. Previous AG learning studies in non-human animals have used different AGs to separately test for specific sequence-processing abilities. However, given that natural language and certain animal communication systems (in particular, song) have multiple levels of complexity, mixed-complexity AGs are needed to simultaneously evaluate sensitivity to the different features of the AG. Here, we tested humans and Rhesus macaques using a mixed-complexity auditory AG, containing both adjacent (local) and non-adjacent (longer-distance) relationships. Following exposure to exemplary sequences generated by the AG, humans and macaques were individually tested with sequences that were either consistent with the AG or violated specific adjacent or non-adjacent relationships. We observed a considerable level of cross-species correspondence in the sensitivity of both humans and macaques to the adjacent AG relationships and to the statistical properties of the sequences. We found no significant sensitivity to the non-adjacent AG relationships in the macaques. A subset of humans was sensitive to this non-adjacent relationship, revealing interesting between- and within-species differences in AG learning strategies. The results suggest that humans and macaques are largely comparably sensitive to the adjacent AG relationships and their statistical properties. However, in the presence of multiple cues to grammaticality, the non-adjacent relationships are less salient to the macaques and many of the humans. © 2015 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.

PubMed

Cao, Peng; Liu, Xiaoli; Zhang, Jian; Li, Wei; Zhao, Dazhe; Huang, Min; Zaiane, Osmar

2017-03-01

The aim of this paper is to describe a novel algorithm for False Positive Reduction in lung nodule Computer Aided Detection(CAD). In this paper, we describes a new CT lung CAD method which aims to detect solid nodules. Specially, we proposed a multi-kernel classifier with a ℓ 2, 1 norm regularizer for heterogeneous feature fusion and selection from the feature subset level, and designed two efficient strategies to optimize the parameters of kernel weights in non-smooth ℓ 2, 1 regularized multiple kernel learning algorithm. The first optimization algorithm adapts a proximal gradient method for solving the ℓ 2, 1 norm of kernel weights, and use an accelerated method based on FISTA; the second one employs an iterative scheme based on an approximate gradient descent method. The results demonstrates that the FISTA-style accelerated proximal descent method is efficient for the ℓ 2, 1 norm formulation of multiple kernel learning with the theoretical guarantee of the convergence rate. Moreover, the experimental results demonstrate the effectiveness of the proposed methods in terms of Geometric mean (G-mean) and Area under the ROC curve (AUC), and significantly outperforms the competing methods. The proposed approach exhibits some remarkable advantages both in heterogeneous feature subsets fusion and classification phases. Compared with the fusion strategies of feature-level and decision level, the proposed ℓ 2, 1 norm multi-kernel learning algorithm is able to accurately fuse the complementary and heterogeneous feature sets, and automatically prune the irrelevant and redundant feature subsets to form a more discriminative feature set, leading a promising classification performance. Moreover, the proposed algorithm consistently outperforms the comparable classification approaches in the literature. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Emerging perspectives on transforming the healthcare system: redesign strategies and a call for needed research.

PubMed

Doebbeling, Bradley N; Flanagan, Mindy E

2011-12-01

U.S. healthcare requires major redesign of its delivery systems, finances, and incentives. Healthcare operations, leadership, and payors are increasingly recognizing the need for community-business-research partnerships to transform healthcare. New models of continuous learning, research, and development should help focus and sustain redesign efforts. This study summarizes suggested strategies for transformational change in healthcare and identifies needed areas for research to inform, spread, and sustain transformational change. We developed these recommendations based on a series of review papers, invited expert discussion, and a subsequent review in the context of a health system transformation research conference (The Regenstrief Biennial Research Conference). The multidisciplinary audience included health systems researchers, clinicians, informaticians, social and engineering scientists, and operational and business leaders. Conference participants and literature reviews identified key strategies for system redesign with the following themes: using the framework of complex adaptive systems; fostering organizational redesign; developing appropriate performance measures and incentives; creating continuous learning organizations; and integrating health information, technology, and communication into practice. Sustained investment in research and development in these areas is crucial. Multiple issues influence the likelihood that healthcare leaders will make transformational changes in their healthcare systems. Healthcare leaders, clinicians, researchers, journals, and academic institutions, in partnership with payors, government and multiple other stakeholders, should apply the recommendations relevant to their own setting to redesign healthcare delivery, improve cognitive support, and sustain transformation. Fostering further research investments in these areas will increase the impact of transformation on the health and healthcare of the public.

Intracranial aneurysms: optimized diagnostic tools call for thorough interdisciplinary treatment strategies.

PubMed

Mueller, Oliver M; Schlamann, Marc; Mueller, Daniela; Sandalcioglu, I Erol; Forsting, Michael; Sure, Ulrich

2011-09-01

Intracranial aneurysms (IAs) require deliberately selected treatment strategies as they are incrementally found prior to rupture and deleterious subarachnoid haemorrhage (SAH). Multiple and recurrent aneurysms necessitate both neurointerventionalists and neurosurgeons to optimize aneurysmal occlusion in an interdisciplinary effort. The present study was conducted to condense essential strategies from a single neurovascular centre with regard to the lessons learned. Medical charts of 321 consecutive patients treated for IAs at our centre from September 2008 until December 2010 were retrospectively analysed for clinical presentation of the aneurysms, multiplicity and treatment pathways. In addition, a selective Medline search was performed. A total of 321 patients with 492 aneurysms underwent occlusion of their symptomatic aneurysm: 132 (41.1%) individuals were treated surgically, 189 (58.2%) interventionally; 138 patients presented with a SAH, of these 44.2% were clipped and 55.8% were coiled. Aneurysms of the middle cerebral artery were primarily occluded surgically (88), whereas most of the aneurysms of the internal carotid artery and anterior communicating artery (114) were treated endovascularly. Multiple aneurysms (range 2-5 aneurysms/individual) were diagnosed in 98 patients (30.2%). During the study period 12 patients with recurrent aneurysms were allocated to another treatment modality (previously clip to coil and vice versa). Our data show that successful interdisciplinary occlusion of IAs is based on both neurosurgical and neurointerventional therapy. In particular, multiple and recurrent aneurysms require tailored individual approaches to aneurysmal occlusion. This is achieved by a consequent interdisciplinary pondering of the optimal strategy to occlude IAs in order to prevent SAH.

[Relationship between self-directed learning with learning styles and strategies in medical students].

PubMed

Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

2014-11-01

Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direction. Schmeck learning strategies scale and Honey and Alonso (CHAEA) scales were used to evaluate learning styles and strategies. Theoretical learning style and deep processing learning strategy had positive correlations with self-direct learning. Medical students with theoretical styles and low retention of facts are those with greater ability to self-direct their learning. Further studies are required to determine the relationship between learning styles and strategies with SDL in medical students. The acquired knowledge will allow the adjustment of teaching strategies to encourage SDL.

DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection.

PubMed

Ouyang, Wanli; Zeng, Xingyu; Wang, Xiaogang; Qiu, Shi; Luo, Ping; Tian, Yonglong; Li, Hongsheng; Yang, Shuo; Wang, Zhe; Li, Hongyang; Loy, Chen Change; Wang, Kun; Yan, Junjie; Tang, Xiaoou

2016-07-07

In this paper, we propose deformable deep convolutional neural networks for generic object detection. This new deep learning object detection framework has innovations in multiple aspects. In the proposed new deep architecture, a new deformation constrained pooling (def-pooling) layer models the deformation of object parts with geometric constraint and penalty. A new pre-training strategy is proposed to learn feature representations more suitable for the object detection task and with good generalization capability. By changing the net structures, training strategies, adding and removing some key components in the detection pipeline, a set of models with large diversity are obtained, which significantly improves the effectiveness of model averaging. The proposed approach improves the mean averaged precision obtained by RCNN [16], which was the state-of-the-art, from 31% to 50.3% on the ILSVRC2014 detection test set. It also outperforms the winner of ILSVRC2014, GoogLeNet, by 6.1%. Detailed component-wise analysis is also provided through extensive experimental evaluation, which provides a global view for people to understand the deep learning object detection pipeline.

Examining problem solving in physics-intensive Ph.D. research

NASA Astrophysics Data System (ADS)

Leak, Anne E.; Rothwell, Susan L.; Olivera, Javier; Zwickl, Benjamin; Vosburg, Jarrett; Martin, Kelly Norris

2017-12-01

Problem-solving strategies learned by physics undergraduates should prepare them for real-world contexts as they transition from students to professionals. Yet, graduate students in physics-intensive research face problems that go beyond problem sets they experienced as undergraduates and are solved by different strategies than are typically learned in undergraduate coursework. This paper expands the notion of problem solving by characterizing the breadth of problems and problem-solving processes carried out by graduate students in physics-intensive research. We conducted semi-structured interviews with ten graduate students to determine the routine, difficult, and important problems they engage in and problem-solving strategies they found useful in their research. A qualitative typological analysis resulted in the creation of a three-dimensional framework: context, activity, and feature (that made the problem challenging). Problem contexts extended beyond theory and mathematics to include interactions with lab equipment, data, software, and people. Important and difficult contexts blended social and technical skills. Routine problem activities were typically well defined (e.g., troubleshooting), while difficult and important ones were more open ended and had multiple solution paths (e.g., evaluating options). In addition to broadening our understanding of problems faced by graduate students, our findings explore problem-solving strategies (e.g., breaking down problems, evaluating options, using test cases or approximations) and characteristics of successful problem solvers (e.g., initiative, persistence, and motivation). Our research provides evidence of the influence that problems students are exposed to have on the strategies they use and learn. Using this evidence, we have developed a preliminary framework for exploring problems from the solver's perspective. This framework will be examined and refined in future work. Understanding problems graduate students face and the strategies they use has implications for improving how we approach problem solving in undergraduate physics and physics education research.

The use of errorless learning strategies for patients with Alzheimer's disease: a literature review.

PubMed

Li, Ruijie; Liu, Karen P Y

2012-12-01

The aim of this article was to review the evidence of errorless learning on learning outcomes in patients with early-stage Alzheimer's disease. A computer-aided literature search from 1999 to 2011 was carried out using MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO and PsycArticles. Keywords included 'errorless learning or practice' and 'Alzheimer's disease'. Four studies that fulfilled the inclusion criteria were selected and reviewed. Two of the studies were clinical controlled trials: one was a single-group pretest-post-test trial and the other was a multiple single-participant study. Demographic variables, design, treatment and outcome measures were summarized. Recall trials were used as the primary outcome measure. Results indicate that the use of errorless learning promotes better retention of specific types of information. Errorless learning is effective in memory rehabilitation of older adults with Alzheimer's disease. However, it would require more studies with unified outcome measures to allow for the formulation of standardized clinical protocol and recommendations.

An effect of serotonergic stimulation on learning rates for rewards apparent after long intertrial intervals.

PubMed

Iigaya, Kiyohito; Fonseca, Madalena S; Murakami, Masayoshi; Mainen, Zachary F; Dayan, Peter

2018-06-26

Serotonin has widespread, but computationally obscure, modulatory effects on learning and cognition. Here, we studied the impact of optogenetic stimulation of dorsal raphe serotonin neurons in mice performing a non-stationary, reward-driven decision-making task. Animals showed two distinct choice strategies. Choices after short inter-trial-intervals (ITIs) depended only on the last trial outcome and followed a win-stay-lose-switch pattern. In contrast, choices after long ITIs reflected outcome history over multiple trials, as described by reinforcement learning models. We found that optogenetic stimulation during a trial significantly boosted the rate of learning that occurred due to the outcome of that trial, but these effects were only exhibited on choices after long ITIs. This suggests that serotonin neurons modulate reinforcement learning rates, and that this influence is masked by alternate, unaffected, decision mechanisms. These results provide insight into the role of serotonin in treating psychiatric disorders, particularly its modulation of neural plasticity and learning.

Kaiser Permanente's performance improvement system, Part 4: Creating a learning organization.

PubMed

Schilling, Lisa; Dearing, James W; Staley, Paul; Harvey, Patti; Fahey, Linda; Kuruppu, Francesca

2011-12-01

In 2006, recognizing variations in performance in quality, safety, service, and efficiency, Kaiser Permanente leaders initiated the development of a performance improvement (PI) system. Kaiser Permanente has implemented a strategy for creating the systemic capacity for continuous improvement that characterizes a learning organization. Six "building blocks" were identified to enable Kaiser Permanente to make the transition to becoming a learning organization: real-time sharing of meaningful performance data; formal training in problem-solving methodology; workforce engagement and informal knowledge sharing; leadership structures, beliefs, and behaviors; internal and external benchmarking; and technical knowledge sharing. Putting each building block into place required multiple complex strategies combining top-down and bottom-up approaches. Although the strategies have largely been successful, challenges remain. The demand for real-time meaningful performance data can conflict with prioritized changes to health information systems. It is an ongoing challenge to teach PI, change management, innovation, and project management to all managers and staff without consuming too much training time. Challenges with workforce engagement include low initial use of tools intended to disseminate information through virtual social networking. Uptake of knowledge-sharing technologies is still primarily by innovators and early adopters. Leaders adopt new behaviors at varying speeds and have a range of abilities to foster an environment that is psychologically safe and stimulates inquiry. A learning organization has the capability to improve, and it develops structures and processes that facilitate the acquisition and sharing of knowledge.

Barriers, Opportunities, and Strategies for Urban Ecosystem ...

EPA Pesticide Factsheets

Urban ecosystem restoration can be especially difficult to accomplish because of complications like industrial pollutants, population density, infrastructure, and expense, however, the unique opportunities in urban settings, including the potential to provide benefits to many people, can make urban restoration especially rewarding. The success of urban restoration projects—even those focused primarily on ecological targets—depends on incorporating the findings of social research, though that research is relatively rare. This work attempts to fill that gap by presenting barriers, opportunities, and strategies for restoration projects in urban settings. Building from interviews with restoration managers involved in a suite of aquatic restoration projects in Rhode Island, we contribute to the learning axis of adaptive management by identifying and synthesizing the lessons learned from managers’ work in urban settings. We then consider how managers can design creative solutions to accomplish restoration goals by thinking more broadly about the multiple social or institutional, biophysical, and discursive dimensions of barriers to and opportunities for urban restoration. This report describes the results from 27 interviews with restoration managers, and informs managers about barriers, opportunities, and strategies for restoration in urban settings.

Supporting culturally and linguistically diverse students during clinical placement: strategies from both sides of the table.

PubMed

O'Reilly, Sharleen L; Milner, Julia

2015-10-15

Increasing proportions of Culturally and Linguistically Diverse (CALD) students within health professional courses at universities creates challenges in delivering inclusive training and education. Clinical placements are a core component of most health care degrees as they allow for applied learning opportunities. A research gap has been identified in regard to understanding challenges and strategies for CALD students in health professional placements. A key stakeholder approach was used to examine barriers and enablers experienced by CALD students in clinical placement. Semi-structured focus groups with healthcare students (n = 13) and clinical placement supervisors (n = 12) were employed. The focus groups were analysed using open coding and thematic analysis. Three main barrier areas were identified: placement planning and preparation; teaching, assessment and feedback; and cultural and language issues. Potential solutions included addressing placement planning and preparation barriers, appropriate student placement preparation, pre-placement identification of higher risk CALD students, and diversity training for supervisors. For the barrier of teaching, assessment & feedback, addressing strategies were to: adapt student caseloads, encourage regular casual supervisor-student conversations, develop supportive placement delivery modes and structures, set expectations early, model the constructive feedback process, use visual aids, and tailor the learning environment to individual student needs. The enablers for cultural & language issues were to: build language and practical approaches for communication, raise awareness of the healthcare system (how it interacts with healthcare professions and how patients access it), and initiate mentoring programs. The findings suggest that teaching and learning strategies should be student-centred, aiming to promote awareness of difference and its impacts then develop appropriate responses by both student and teacher. Universities and partnering agencies, such as clinical training providers, need to provide an inclusive learning environment for students from multiple cultural backgrounds.

Relational Analysis of High School Students' Cognitive Self-Regulated Learning Strategies and Conceptions of Learning Biology

ERIC Educational Resources Information Center

Sadi, Özlem

2017-01-01

The purpose of this study was to analyze the relation between students' cognitive learning strategies and conceptions of learning biology. The two scales, "Cognitive Learning Strategies" and "Conceptions of Learning Biology", were revised and adapted to biology in order to measure the students' learning strategies and…

Building Better Bridges: Toward More Effective Strategies for Promoting Teacher Diversity in California Secondary Social Science Classrooms at the Pre-Service Level

ERIC Educational Resources Information Center

Gifford, Joanne

2007-01-01

The State of California's teaching corps does not reflect nearly the same level of cultural diversity, as does the student body that it serves. Multiple sources of evidence suggest that the quality and outcomes of the learning experience are compromised for many of the students enrolled in California schools due to persistent and significant…

The Effects of a Modified Learning Strategy on the Multiple Step Mathematical Word Problem Solving Ability of Middle School Students with High-Functioning Autism or Asperger's Syndrome

ERIC Educational Resources Information Center

Schaefer Whitby, Peggy J.

2009-01-01

Children with HFA/AS are outperformed by their neuro-typical peers on mathematical problem solving skills even though they have average-to-above-average intelligence (Dickerson Mayes & Calhoun, 2003b); have average-to-above-average computation skills (Chiang & Lin, 2007); and, are educated in the general education setting (Twenty Eighth…

A critical narrative review of transfer of basic science knowledge in health professions education.

PubMed

Castillo, Jean-Marie; Park, Yoon Soo; Harris, Ilene; Cheung, Jeffrey J H; Sood, Lonika; Clark, Maureen D; Kulasegaram, Kulamakan; Brydges, Ryan; Norman, Geoffrey; Woods, Nicole

2018-06-01

'Transfer' is the application of a previously learned concept to solve a new problem in another context. Transfer is essential for basic science education because, to be valuable, basic science knowledge must be transferred to clinical problem solving. Therefore, better understanding of interventions that enhance the transfer of basic science knowledge to clinical reasoning is essential. This review systematically identifies interventions described in the health professions education (HPE) literature that document the transfer of basic science knowledge to clinical reasoning, and considers teaching and assessment strategies. A systematic search of the literature was conducted. Articles related to basic science teaching at the undergraduate level in HPE were analysed using a 'transfer out'/'transfer in' conceptual framework. 'Transfer out' refers to the application of knowledge developed in one learning situation to the solving of a new problem. 'Transfer in' refers to the use of previously acquired knowledge to learn from new problems or learning situations. Of 9803 articles initially identified, 627 studies were retrieved for full text evaluation; 15 were included in the literature review. A total of 93% explored 'transfer out' to clinical reasoning and 7% (one article) explored 'transfer in'. Measures of 'transfer out' fostered by basic science knowledge included diagnostic accuracy over time and in new clinical cases. Basic science knowledge supported learning - 'transfer in' - of new related content and ultimately the 'transfer out' to diagnostic reasoning. Successful teaching strategies included the making of connections between basic and clinical sciences, the use of commonsense analogies, and the study of multiple clinical problems in multiple contexts. Performance on recall tests did not reflect the transfer of basic science knowledge to clinical reasoning. Transfer of basic science knowledge to clinical reasoning is an essential component of HPE that requires further development for implementation and scholarship. © 2018 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

The critical role of communications in a multilevel obesity-prevention intervention: Lessons learned for alcohol educators.

PubMed

Hatfield, Daniel P; Sliwa, Sarah A; Folta, Sara C; Economos, Christina D; Goldberg, Jeanne P

2017-01-01

Multilevel interventions to prevent underage drinking are more effective than individual-level strategies, and messaging campaigns are key to such approaches. Recognizing the benefits of translating best practices across public health domains, this paper details the communications campaign from Shape Up Somerville (SUS), an exemplar for multilevel community-based approaches to address pediatric obesity, highlighting lessons learned for alcohol educators. All elements of SUS, including the communications strategy, were developed collaboratively with local partners. Communication initiatives included community-engaged brand development to unify diverse intervention components; school-based communications to promote new opportunities for healthy eating and physical activity; and media partnerships to promote healthy behaviors community-wide. The overall SUS intervention was effective in reducing prevalence of overweight/obesity among first- to third-graders in Somerville relative to control communities. Process evaluation showed that communications successfully reached diverse community segments and raised awareness of and receptivity to changes. Communications campaigns are essential components of multilevel interventions addressing public health challenges including obesity and underage drinking. Such communications should be developed collaboratively with the target audience and stakeholders, designed to engage community members at multiple levels through multiple channels within a systems framework, and sustained through local partnerships. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Helping students learn effective problem solving strategies by reflecting with peers

NASA Astrophysics Data System (ADS)

Mason, Andrew; Singh, Chandralekha

2010-07-01

We study how introductory physics students engage in reflection with peers about problem solving. The recitations for an introductory physics course with 200 students were broken into a "peer reflection" (PR) group and a traditional group. Each week in recitation, small teams of students in the PR group reflected on selected problems from the homework and discussed why the solutions of some students employed better problem solving strategies than others. The graduate and undergraduate teaching assistants in the PR recitations provided guidance and coaching to help students learn effective problem solving heuristics. In the traditional group recitations students could ask the graduate TA questions about the homework before they took a weekly quiz. The traditional group recitation quiz questions were similar to the homework questions selected for peer reflection in the PR group recitations. As one measure of the impact of this intervention, we investigated how likely students were to draw diagrams to help with problem solving on the final exam with only multiple-choice questions. We found that the PR group drew diagrams on more problems than the traditional group even when there was no explicit reward for doing so. Also, students who drew more diagrams for the multiple-choice questions outperformed those who did not, regardless of which group they were a member.

Effects of cooperative learning strategy on undergraduate kinesiology students' learning styles.

PubMed

Meeuwsen, Harry J; King, George A; Pederson, Rockie

2005-10-01

A growing body of research supports cooperative learning as an effective teaching strategy. A specific cooperative learning strategy, Team-based Learning, was applied to a convenience sample of four undergraduate sophomore-level motor behavior courses over four semesters from Fall 2002 to Spring 2004 to examine whether this strategy would affect students' learning styles. The data from the Grasha-Reichmann Student Learning Style Scales indicated that this teaching strategy was associated with a significant decrease in the negative Avoidant and Dependent learning styles and an improvement in the positive Participant learning style.

The Interplay of Perceptions of the Learning Environment, Personality and Learning Strategies: A Study amongst International Business Studies Students

ERIC Educational Resources Information Center

Nijhuis, Jan; Segers, Mien; Gijselaers, Wim

2007-01-01

Previous research on students' learning strategies has examined the relationships between either perceptions of the learning environment or personality and learning strategies. The focus of this study was on the joint relationships between the students' perceptions of the learning environment, their personality, and the learning strategies they…

Assessment of Adaptive PBL's Impact on HOT Development of Computer Science Students

ERIC Educational Resources Information Center

Raiyn, Jamal; Tilchin, Oleg

2015-01-01

Meaningful learning based on PBL is new learning strategy. Compared to traditional learning strategy, the meaningful learning strategy put the student in center of the learning process. The roles of the student in the meaningful learning strategy will be increased. The Problem-based Learning (PBL) model is considered the most productive way to…

E-Learning Strategy for Earning Learners

ERIC Educational Resources Information Center

Singaravelu, G.

2011-01-01

The study enlightens the effectiveness of e-learning strategy in learning English among the in-service teachers who are studying B.Ed in School of Distance Education, Bharathiar University, Coimbatore. E-learning strategy is a life long learning strategy for earning in-service teachers. It is a strategy of remaining in employment, which can be…

Responses to a simple barter task in chimpanzees, Pan troglodytes.

PubMed

Brosnan, Sarah F; de Waal, Frans B M

2005-07-01

Chimpanzees (Pan troglodytes) frequently participate in social exchange involving multiple goods and services of variable value, yet they have not been tested in a formalized situation to see whether they can barter using multiple tokens and rewards. We set up a simple barter economy with two tokens and two associated rewards and tested chimpanzees on their ability to obtain rewards by returning the matching token in situations in which their access to tokens was unlimited or limited. Chimpanzees easily learned to associate value with the tokens, as expected, and did barter, but followed a simple strategy of favoring the higher-value token, regardless of the reward proffered, instead of a more complex but more effective strategy of returning the token that matched the reward. This response is similar to that shown by capuchin monkeys in our previous study. We speculate that this response, while not ideal, may be sufficient to allow for stability of the social exchange system in these primates, and that the importance of social barter to both species may have led to this convergence of strategies.

[Keys to preventing accidents in children in the school context].

PubMed

Gabari Gambarte, M Inés; Sáenz Mendía, Raquel

2016-11-02

To learn about children's perception of the causes and prevention strategies involved in school accidents. The sample included 584 school children aged 8-9 years from Navarra. A mixed design was chosen by questionnaire with three open-response questions and one multiple-choice assessment. Analysis was performed in two phases: 1) qualitative development of categories and dimensions of the responses of narrative content, and 2) quantitative variables for recoding correlational analysis. 22 categories emerged, which make up three perceptual dimensions: 1) attribution of causality (5), 2) identification of mechanisms of avoidance (11), and 3) development of coping strategies (6). The correlation intra-variables portray varying degrees: on the one hand, moderate positive numbers (r>0.5) in allocating and identifying causality avoidance mechanisms and, on the other hand, high positive correlation values (r>0.7) referred to developing coping strategies. Children are able to identify accidents as a health problem. They question the multiplicity of elements involved and relate the origin and kind of accident to prevention and support mechanisms. Copyright © 2016 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

Quantitative learning strategies based on word networks

NASA Astrophysics Data System (ADS)

Zhao, Yue-Tian-Yi; Jia, Zi-Yang; Tang, Yong; Xiong, Jason Jie; Zhang, Yi-Cheng

2018-02-01

Learning English requires a considerable effort, but the way that vocabulary is introduced in textbooks is not optimized for learning efficiency. With the increasing population of English learners, learning process optimization will have significant impact and improvement towards English learning and teaching. The recent developments of big data analysis and complex network science provide additional opportunities to design and further investigate the strategies in English learning. In this paper, quantitative English learning strategies based on word network and word usage information are proposed. The strategies integrate the words frequency with topological structural information. By analyzing the influence of connected learned words, the learning weights for the unlearned words and dynamically updating of the network are studied and analyzed. The results suggest that quantitative strategies significantly improve learning efficiency while maintaining effectiveness. Especially, the optimized-weight-first strategy and segmented strategies outperform other strategies. The results provide opportunities for researchers and practitioners to reconsider the way of English teaching and designing vocabularies quantitatively by balancing the efficiency and learning costs based on the word network.

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.

Language experience differentiates prefrontal and subcortical activation of the cognitive control network in novel word learning

PubMed Central

King, Kelly E.; Hernandez, Arturo E.

2012-01-01

The purpose of this study was to examine the cognitive control mechanisms in adult English speaking monolinguals compared to early sequential Spanish-English bilinguals during the initial stages of novel word learning. Functional magnetic resonance imaging during a lexico-semantic task after only two hours of exposure to novel German vocabulary flashcards showed that monolinguals activated a broader set of cortical control regions associated with higher-level cognitive processes, including the supplementary motor area (SMA), anterior cingulate (ACC), and dorsolateral prefrontal cortex (DLPFC), as well as the caudate, implicated in cognitive control of language. However, bilinguals recruited a more localized subcortical network that included the putamen, associated more with motor control of language. These results suggest that experience managing multiple languages may differentiate the learning strategy and subsequent neural mechanisms of cognitive control used by bilinguals compared to monolinguals in the early stages of novel word learning. PMID:23194816

Millennial generation student nurses' perceptions of the impact of multiple technologies on learning.

PubMed

Montenery, Susan M; Walker, Marjorie; Sorensen, Elizabeth; Thompson, Rhonda; Kirklin, Dena; White, Robin; Ross, Carl

2013-01-01

To determine how millennial nursing students perceive the effects of instructional technology on their attentiveness, knowledge, critical thinking, and satisfaction. BACKGROUND Millennial learners develop critical thinking through experimentation, active participation, and multitasking with rapid shifts between technological devices. They desire immediate feedback. METHOD; A descriptive, longitudinal, anonymous survey design was used with a convenience sample of 108 sophomore, junior, and senior baccalaureate nursing students (participation rates 95 percent, winter, 85 percent, spring). Audience response, virtual learning, simulation, and computerized testing technologies were used. An investigator-designed instrument measured attentiveness, knowledge, critical thinking, and satisfaction (Cronbach's alphas 0.73, winter; 0.84, spring). Participants positively rated the audience response, virtual learning, and simulation instructional technologies on their class participation, learning, attention, and satisfaction. They strongly preferred computerized testing. Consistent with other studies, these students engaged positively with new teaching strategies using contemporary instructional technology. Faculty should consider using instructional technologies.

Hedging Your Bets by Learning Reward Correlations in the Human Brain

PubMed Central

Wunderlich, Klaus; Symmonds, Mkael; Bossaerts, Peter; Dolan, Raymond J.

2011-01-01

Summary Human subjects are proficient at tracking the mean and variance of rewards and updating these via prediction errors. Here, we addressed whether humans can also learn about higher-order relationships between distinct environmental outcomes, a defining ecological feature of contexts where multiple sources of rewards are available. By manipulating the degree to which distinct outcomes are correlated, we show that subjects implemented an explicit model-based strategy to learn the associated outcome correlations and were adept in using that information to dynamically adjust their choices in a task that required a minimization of outcome variance. Importantly, the experimentally generated outcome correlations were explicitly represented neuronally in right midinsula with a learning prediction error signal expressed in rostral anterior cingulate cortex. Thus, our data show that the human brain represents higher-order correlation structures between rewards, a core adaptive ability whose immediate benefit is optimized sampling. PMID:21943609

Adapting proportional myoelectric-controlled interfaces for prosthetic hands.

PubMed

Pistohl, Tobias; Cipriani, Christian; Jackson, Andrew; Nazarpour, Kianoush

2013-01-01

Powered hand prostheses with many degrees of freedom are moving from research into the market for prosthetics. In order to make use of the prostheses' full functionality, it is essential to find efficient ways to control their multiple actuators. Human subjects can rapidly learn to employ electromyographic (EMG) activity of several hand and arm muscles to control the position of a cursor on a computer screen, even if the muscle-cursor map contradicts directions in which the muscles would act naturally. We investigated whether a similar control scheme, using signals from four hand muscles, could be adopted for real-time operation of a dexterous robotic hand. Despite different mapping strategies, learning to control the robotic hand over time was surprisingly similar to the learning of two-dimensional cursor control.

Investigation the Relationship among Language Learning Strategies, English Self-Efficacy, and Explicit Strategy Instructions

ERIC Educational Resources Information Center

Yang, Pei-Ling; Wang, Ai-Ling

2015-01-01

The present study aims to investigate the relationship among EFL college learners' language learning strategies, English self-efficacy, and explicit strategy instruction from the perspectives of Social Cognitive Theory. Three constructs, namely language learning strategies, English learning self-efficacy, and explicit strategy instruction, were…

Assessment of online continuing dental education in North Carolina.

PubMed

Francis, B; Mauriello, S M; Phillips, C; Englebardt, S; Grayden, S K

2000-01-01

Dental professionals are discovering the unique advantages of asynchronous lifelong learning through continuing dental education (CDE) opportunities offered online. The purpose of this study was to evaluate both the process and outcomes of online CDE in North Carolina. The assessment was designed to provide a better understanding of practicing dental professionals experiences with online CDE and to determine the effectiveness of this learning strategy. Dental professionals from four North Carolina Area Health Education Centers regions evaluated two pilot online CDE modules in 1998. Thirty-one participants were recruited and subsequently enrolled with 23 completing at least one module. Each module included objectives, a multiple-choice pretest, interactive core material, and a post-test. Participants completed three online surveys measuring individual demographics and computer skill level, module design, and use and overall reaction to online learning. Most participants agreed that the modules were comprehensive, were pleasing in appearance, provided clear instructions, provided adequate feedback, and were easy to navigate. Most participants agreed that knowledge of the material increased. This was validated by a significant increase in mean pre- to post-test scores (p = .0001). Participants agreed that convenience was a definite advantage, and they would choose online courses again to meet their CDE needs. The least-liked aspects included technical and formatting issues. Participants were enthusiastic about online learning and learned effectively with this teaching strategy, but desired much more interactivity than existed in the current design.

Future goal setting, task motivation and learning of minority and non-minority students in Dutch schools.

PubMed

Andriessen, Iris; Phalet, Karen; Lens, Willy

2006-12-01

Cross-cultural research on minority school achievement yields mixed findings on the motivational impact of future goal setting for students from disadvantaged minority groups. Relevant and recent motivational research, integrating Future Time Perspective Theory with Self-Determination Theory, has not yet been validated among minority students. To replicate across cultures the known motivational benefits of perceived instrumentality and internal regulation by distant future goals; to clarify when and how the future motivates minority students' educational performance. Participants in this study were 279 minority students (100 of Turkish and 179 of Moroccan origin) and 229 native Dutch students in Dutch secondary schools. Participants rated the importance of future goals, their perceptions of instrumentality, their task motivation and learning strategies. Dependent measures and their functional relations with future goal setting were simultaneously validated across minority and non-minority students, using structural equation modelling in multiple groups. As expected, Positive Perceived Instrumentality for the future increases task motivation and (indirectly) adaptive learning of both minority and non-minority students. But especially internally regulating future goals are strongly related to more task motivation and indirectly to more adaptive learning strategies. Our findings throw new light on the role of future goal setting in minority school careers: distant future goals enhance minority and non-minority students' motivation and learning, if students perceive positive instrumentality and if their schoolwork is internally regulated by future goals.

Reinforcement Learning in a Nonstationary Environment: The El Farol Problem

NASA Technical Reports Server (NTRS)

Bell, Ann Maria

1999-01-01

This paper examines the performance of simple learning rules in a complex adaptive system based on a coordination problem modeled on the El Farol problem. The key features of the El Farol problem are that it typically involves a medium number of agents and that agents' pay-off functions have a discontinuous response to increased congestion. First we consider a single adaptive agent facing a stationary environment. We demonstrate that the simple learning rules proposed by Roth and Er'ev can be extremely sensitive to small changes in the initial conditions and that events early in a simulation can affect the performance of the rule over a relatively long time horizon. In contrast, a reinforcement learning rule based on standard practice in the computer science literature converges rapidly and robustly. The situation is reversed when multiple adaptive agents interact: the RE algorithms often converge rapidly to a stable average aggregate attendance despite the slow and erratic behavior of individual learners, while the CS based learners frequently over-attend in the early and intermediate terms. The symmetric mixed strategy equilibria is unstable: all three learning rules ultimately tend towards pure strategies or stabilize in the medium term at non-equilibrium probabilities of attendance. The brittleness of the algorithms in different contexts emphasize the importance of thorough and thoughtful examination of simulation-based results.

Differential use of learning strategies in first-year higher education: the impact of personality, academic motivation, and teaching strategies.

PubMed

Donche, Vincent; De Maeyer, Sven; Coertjens, Liesje; Van Daal, Tine; Van Petegem, Peter

2013-06-01

Although the evidence in support of the variability of students' learning strategies has expanded in recent years, less is known about the explanatory base of these individual differences in terms of the joint influences of personal and contextual characteristics. Previous studies have often investigated how student learning is associated with either personal or contextual factors. This study takes an integrative research perspective into account and examines the joint effects of personality, academic motivation, and teaching strategies on students' learning strategies in a same educational context in first-year higher education. In this study, 1,126 undergraduate students and 90 lecturers from eight professional bachelor programmes in a university college participated. Self-report measures were used to measure students' personality, academic motivation, and learning strategies. Students' processing and regulation strategies are mapped using the Inventory of Learning Styles. Key characteristics of more content-focused versus learning-focused teaching strategies were measured. Multivariate multi-level analysis was used to take the nested data structure and interrelatedness of learning strategies into account. Different personality traits (openness, conscientiousness, and neuroticism) and academic motivation (amotivation, autonomous, and controlled motivation) were found to be independently associated with student learning strategies. Besides these student characteristics, also teaching strategies were found to be directly associated with learning strategies. The study makes clear that the impact of teaching strategies on learning strategies in first-year higher education cannot be overlooked nor overinterpreted, due to the importance of students' personality and academic motivation which also partly explain why students learn the way they do. © 2013 The British Psychological Society.

A Case Based-Shared Teaching Approach in Undergraduate Medical Curriculum: A Way for Integration in Basic and Clinical Sciences.

PubMed

Peiman, Soheil; Mirzazadeh, Azim; Alizadeh, Maryam; Mortaz Hejri, Sara; Najafi, Mohammad-Taghi; Tafakhori, Abbas; Larti, Farnoosh; Rahimi, Besharat; Geraiely, Babak; Pasbakhsh, Parichehr; Hassanzadeh, Gholamreza; Nabavizadeh Rafsanjani, Fatemeh; Ansari, Mohammad; Allameh, Seyed Farshad

2017-04-01

To present a multiple-instructor, active-learning strategy in the undergraduate medical curriculum. This educational research is a descriptive one. Shared teaching sessions, were designed for undergraduate medical students in six organ-system based courses. Sessions that involved in-class discussions of integrated clinical cases were designed implemented and moderated by at least 3 faculties (clinicians and basic scientists). The participants in this study include the basic sciences medical students of The Tehran University of Medical Sciences. Students' reactions were assessed using an immediate post-session evaluation form on a 5-point Likert scale. Six two-hour sessions for 2 cohorts of students, 2013 and 2014 medical students during their two first years of study were implemented from April 2014 to March 2015. 17 faculty members participated in the program, 21 cases were designed, and participation average was 60 % at 6 sessions. Students were highly appreciative of this strategy. The majority of students in each course strongly agreed that this learning practice positively contributed to their learning (78%) and provided better understanding and application of the material learned in an integrated classroom course (74%). They believed that the sessions affected their view about medicine (73%), and should be continued in future courses (80%). The percentage demonstrates the average of all courses. The program helped the students learn how to apply basic sciences concepts to clinical medicine. Evaluation of the program indicated that students found the sessions beneficial to their learning.

Latent Class Analysis of Students' Mathematics Learning Strategies and the Relationship between Learning Strategy and Mathematical Literacy

ERIC Educational Resources Information Center

Lin, Su-Wei; Tai, Wen-Chun

2015-01-01

This study investigated how various mathematics learning strategies affect the mathematical literacy of students. The data for this study were obtained from the 2012 Programme for International Student Assessment (PISA) data of Taiwan. The PISA learning strategy survey contains three types of learning strategies: elaboration, control, and…

Cognitive Load Theory: implications for medical education: AMEE Guide No. 86.

PubMed

Young, John Q; Van Merrienboer, Jeroen; Durning, Steve; Ten Cate, Olle

2014-05-01

Cognitive Load Theory (CLT) builds upon established models of human memory that include the subsystems of sensory, working and long-term memory. Working memory (WM) can only process a limited number of information elements at any given time. This constraint creates a "bottleneck" for learning. CLT identifies three types of cognitive load that impact WM: intrinsic load (associated with performing essential aspects of the task), extraneous load (associated with non-essential aspects of the task) and germane load (associated with the deliberate use of cognitive strategies that facilitate learning). When the cognitive load associated with a task exceeds the learner's WM capacity, performance and learning is impaired. To facilitate learning, CLT researchers have developed instructional techniques that decrease extraneous load (e.g. worked examples), titrate intrinsic load to the developmental stage of the learner (e.g. simplify task without decontextualizing) and ensure that unused WM capacity is dedicated to germane load, i.e. cognitive learning strategies. A number of instructional techniques have been empirically tested. As learners' progress, curricula must also attend to the expertise-reversal effect. Instructional techniques that facilitate learning among early learners may not help and may even interfere with learning among more advanced learners. CLT has particular relevance to medical education because many of the professional activities to be learned require the simultaneous integration of multiple and varied sets of knowledge, skills and behaviors at a specific time and place. These activities possess high "element interactivity" and therefore impose a cognitive load that may surpass the WM capacity of the learner. Applications to various medical education settings (classroom, workplace and self-directed learning) are explored.

Evaluation of social interaction, task management, and trust among dental hygiene students in a collaborative learning environment.

PubMed

Saylor, Catherine D; Keselyak, Nancy T; Simmer-Beck, Melanie; Tira, Daniel

2011-02-01

The purpose of this study was to evaluate the impact of collaborative learning on the development of social interaction, task management, and trust in dental hygiene students. These three traits were assessed with the Teamwork Assessment Scale in two different learning environments (traditional lecture/lab and collaborative learning environment). A convenience sample of fifty-six entry-level dental hygiene students taking an introductory/preclinic course at two metropolitan area dental hygiene programs provided comparable experimental and control groups. Factor scores were computed for the three traits, and comparisons were conducted using the Ryan-Einot-Gabriel-Welsh multiple comparison procedure among specific cell comparisons generated from a two-factor repeated measures ANOVA. The results indicate that the collaborative learning environment influenced dental hygiene students positively regarding the traits of social interaction, task management, and trust. However, comparing dental hygiene students to undergraduate students overall indicates that dental hygiene students already possess somewhat higher levels of these traits. Future studies on active learning strategies should examine factors such as student achievement and explore other possible active learning methodologies.

An interview study of how clinical teachers develop skills to attend to different level learners.

PubMed

Chen, H Carrie; Fogh, Shannon; Kobashi, Brent; Teherani, Arianne; Ten Cate, Olle; O'Sullivan, Patricia

2016-06-01

One clinical teaching challenge is the engagement of learners at different levels. Faculty development offerings mostly address general strategies applicable to all learners. This study examined how clinical faculty members develop the skills to work with different level learners. We conducted semi-structured interviews with medical school faculty members identified as excellent clinical teachers teaching multiple levels of learners. They discussed how they developed their approach to teaching different level learners and how their teaching evolved over time. We performed thematic analysis of the interview transcripts using open and axial coding. We interviewed 19 faculty members and identified three themes related to development of teaching practices: teacher agency and work-based learning of teaching strategies, developmental trajectory of clinical teachers, and interplay between clinical confidence and teaching skills. Faculty members were proactive in using on-the-job experiences to develop their teaching practices. Their teaching practices followed a developmental trajectory towards learner centeredness, and this evolution was associated with the development of clinical skills and confidence. Learning skills to teach multi-level learners requires workplace learning. Faculty development should include workplace learning opportunities and use a developmental approach that accounts for the trajectory of teaching as well as clinical skills attainment.

Using isomorphic problems to learn introductory physics

NASA Astrophysics Data System (ADS)

Lin, Shih-Yin; Singh, Chandralekha

2011-12-01

In this study, we examine introductory physics students’ ability to perform analogical reasoning between two isomorphic problems which employ the same underlying physics principles but have different surface features. Three hundred sixty-two students from a calculus-based and an algebra-based introductory physics course were given a quiz in the recitation in which they had to first learn from a solved problem provided and take advantage of what they learned from it to solve another problem (which we call the quiz problem) which was isomorphic. Previous research suggests that the multiple-concept quiz problem is challenging for introductory students. Students in different recitation classes received different interventions in order to help them discern and exploit the underlying similarities of the isomorphic solved and quiz problems. We also conducted think-aloud interviews with four introductory students in order to understand in depth the difficulties they had and explore strategies to provide better scaffolding. We found that most students were able to learn from the solved problem to some extent with the scaffolding provided and invoke the relevant principles in the quiz problem. However, they were not necessarily able to apply the principles correctly. Research suggests that more scaffolding is needed to help students in applying these principles appropriately. We outline a few possible strategies for future investigation.

Image reconstruction by domain-transform manifold learning.

PubMed

Zhu, Bo; Liu, Jeremiah Z; Cauley, Stephen F; Rosen, Bruce R; Rosen, Matthew S

2018-03-21

Image reconstruction is essential for imaging applications across the physical and life sciences, including optical and radar systems, magnetic resonance imaging, X-ray computed tomography, positron emission tomography, ultrasound imaging and radio astronomy. During image acquisition, the sensor encodes an intermediate representation of an object in the sensor domain, which is subsequently reconstructed into an image by an inversion of the encoding function. Image reconstruction is challenging because analytic knowledge of the exact inverse transform may not exist a priori, especially in the presence of sensor non-idealities and noise. Thus, the standard reconstruction approach involves approximating the inverse function with multiple ad hoc stages in a signal processing chain, the composition of which depends on the details of each acquisition strategy, and often requires expert parameter tuning to optimize reconstruction performance. Here we present a unified framework for image reconstruction-automated transform by manifold approximation (AUTOMAP)-which recasts image reconstruction as a data-driven supervised learning task that allows a mapping between the sensor and the image domain to emerge from an appropriate corpus of training data. We implement AUTOMAP with a deep neural network and exhibit its flexibility in learning reconstruction transforms for various magnetic resonance imaging acquisition strategies, using the same network architecture and hyperparameters. We further demonstrate that manifold learning during training results in sparse representations of domain transforms along low-dimensional data manifolds, and observe superior immunity to noise and a reduction in reconstruction artefacts compared with conventional handcrafted reconstruction methods. In addition to improving the reconstruction performance of existing acquisition methodologies, we anticipate that AUTOMAP and other learned reconstruction approaches will accelerate the development of new acquisition strategies across imaging modalities.

Image reconstruction by domain-transform manifold learning

NASA Astrophysics Data System (ADS)

Zhu, Bo; Liu, Jeremiah Z.; Cauley, Stephen F.; Rosen, Bruce R.; Rosen, Matthew S.

2018-03-01

Image reconstruction is essential for imaging applications across the physical and life sciences, including optical and radar systems, magnetic resonance imaging, X-ray computed tomography, positron emission tomography, ultrasound imaging and radio astronomy. During image acquisition, the sensor encodes an intermediate representation of an object in the sensor domain, which is subsequently reconstructed into an image by an inversion of the encoding function. Image reconstruction is challenging because analytic knowledge of the exact inverse transform may not exist a priori, especially in the presence of sensor non-idealities and noise. Thus, the standard reconstruction approach involves approximating the inverse function with multiple ad hoc stages in a signal processing chain, the composition of which depends on the details of each acquisition strategy, and often requires expert parameter tuning to optimize reconstruction performance. Here we present a unified framework for image reconstruction—automated transform by manifold approximation (AUTOMAP)—which recasts image reconstruction as a data-driven supervised learning task that allows a mapping between the sensor and the image domain to emerge from an appropriate corpus of training data. We implement AUTOMAP with a deep neural network and exhibit its flexibility in learning reconstruction transforms for various magnetic resonance imaging acquisition strategies, using the same network architecture and hyperparameters. We further demonstrate that manifold learning during training results in sparse representations of domain transforms along low-dimensional data manifolds, and observe superior immunity to noise and a reduction in reconstruction artefacts compared with conventional handcrafted reconstruction methods. In addition to improving the reconstruction performance of existing acquisition methodologies, we anticipate that AUTOMAP and other learned reconstruction approaches will accelerate the development of new acquisition strategies across imaging modalities.

Construction of the Questionnaire on Foreign Language Learning Strategies in Specific Croatian Context.

PubMed

Božinović, Nikolina; Sindik, Joško

2017-03-01

Learning strategies are special thoughts or behaviours that individuals use to understand, learn or retain new information, according to the point of view of O’Malley & Chamot. The other view, promoted by Oxford, believes learning strategies are specific actions taken by the learner to make learning easier, faster, more enjoyable, and more transferrable to new situations of language learning and use. The use of appropriate strategies ensures greater success in language learning. The aim of the research was to establish metric characteristics of the Questionnaire on learning strategies created by the author, in line with the template of the original SILL questionnaire (Strategy Inventory for Language Learning). The research was conducted at the Rochester Institute of Technology Croatia on a sample of 201 participants who learned German, Spanish, French and Italian as a foreign language. The results have shown that one-component latent dimensions which describe the space of foreign language learning strategies according to Oxford’s classification, have metric characteristics which are low, but still satisfactory (reliability and validity). All dimensions of learning strategies appeared not to be adequately defined. Therefore, we excluded compensation strategies and merged social and affective strategies into social-affective strategies into the unique dimension. Overall, this version of Oxford’s original questionnaire, based on Oxford’s theoretical construct, applied on Croatian students, clearly shows that current version of the questionnaire has poor metric characteristics. One of the explanations of the results obtained could be positioned in multicultural context and intercultural dialogue. Namely, particular social, political and economic context in Croatia could shape even foreign language learning strategies.

An exploratory study of knowledge brokering in hospital settings: facilitating knowledge sharing and learning for patient safety?

PubMed

Waring, Justin; Currie, Graeme; Crompton, Amanda; Bishop, Simon

2013-12-01

This paper reports on an exploratory study of intra-organisational knowledge brokers working within three large acute hospitals in the English National Health Services. Knowledge brokering is promoted as a strategy for supporting knowledge sharing and learning in healthcare, especially in the diffusion of research evidence into practice. Less attention has been given to brokers who support knowledge sharing and learning within healthcare organisations. With specific reference to the need for learning around patient safety, this paper focuses on the structural position and role of four types of intra-organisational brokers. Through ethnographic research it examines how variations in formal role, location and relationships shape how they share and support the use of knowledge across organisational and occupational boundaries. It suggests those occupying hybrid organisational roles, such as clinical-managers, are often best positioned to support knowledge sharing and learning because of their 'ambassadorial' type position and legitimacy to participate in multiple communities through dual-directed relationships. Copyright © 2013 Elsevier Ltd. All rights reserved.

Drift diffusion model of reward and punishment learning in schizophrenia: Modeling and experimental data.

PubMed

Moustafa, Ahmed A; Kéri, Szabolcs; Somlai, Zsuzsanna; Balsdon, Tarryn; Frydecka, Dorota; Misiak, Blazej; White, Corey

2015-09-15

In this study, we tested reward- and punishment learning performance using a probabilistic classification learning task in patients with schizophrenia (n=37) and healthy controls (n=48). We also fit subjects' data using a Drift Diffusion Model (DDM) of simple decisions to investigate which components of the decision process differ between patients and controls. Modeling results show between-group differences in multiple components of the decision process. Specifically, patients had slower motor/encoding time, higher response caution (favoring accuracy over speed), and a deficit in classification learning for punishment, but not reward, trials. The results suggest that patients with schizophrenia adopt a compensatory strategy of favoring accuracy over speed to improve performance, yet still show signs of a deficit in learning based on negative feedback. Our data highlights the importance of applying fitting models (particularly drift diffusion models) to behavioral data. The implications of these findings are discussed relative to theories of schizophrenia and cognitive processing. Copyright © 2015 Elsevier B.V. All rights reserved.

Improved Visual Cognition through Stroboscopic Training

PubMed Central

Appelbaum, L. Gregory; Schroeder, Julia E.; Cain, Matthew S.; Mitroff, Stephen R.

2011-01-01

Humans have a remarkable capacity to learn and adapt, but surprisingly little research has demonstrated generalized learning in which new skills and strategies can be used flexibly across a range of tasks and contexts. In the present work we examined whether generalized learning could result from visual–motor training under stroboscopic visual conditions. Individuals were assigned to either an experimental condition that trained with stroboscopic eyewear or to a control condition that underwent identical training with non-stroboscopic eyewear. The training consisted of multiple sessions of athletic activities during which participants performed simple drills such as throwing and catching. To determine if training led to generalized benefits, we used computerized measures to assess perceptual and cognitive abilities on a variety of tasks before and after training. Computer-based assessments included measures of visual sensitivity (central and peripheral motion coherence thresholds), transient spatial attention (a useful field of view – dual task paradigm), and sustained attention (multiple-object tracking). Results revealed that stroboscopic training led to significantly greater re-test improvement in central visual field motion sensitivity and transient attention abilities. No training benefits were observed for peripheral motion sensitivity or peripheral transient attention abilities, nor were benefits seen for sustained attention during multiple-object tracking. These findings suggest that stroboscopic training can effectively improve some, but not all aspects of visual perception and attention. PMID:22059078

Interaction and learning: An analysis of two freshman physics courses

NASA Astrophysics Data System (ADS)

Clark, Dexter

2005-08-01

The influence of digital technology has gradually increased through the years to the point where it impacts almost every part of our experience in some way. Educators are expected increasingly to supplement or even replace lecture and chalkboard practices with alternative strategies. Beyond integrating new technologies into the learning environments are the new forms of learning that some believe are implied by the nature of digitally mediated instruction itself. The use of multimedia technologies for learning in many cases is thought to facilitate a move away from teacher-centered practices of instruction toward learner-centered strategies of both delivery and assessment. This study was an investigation of effects that may be encountered when alternative forms of classroom delivery are introduced. It was a mixed-mode investigation of classroom culture and student performance in two sections of a physics course for undergraduate engineering students. The content for these two classes was identical as were the learning resources available to students. Both classes employed multiple methods of presentation combining face-to-face methods with classroom and online digital learning tools. The most distinctive differences between them were found in the classroom practice itself. One class received what may be called a traditional teacher-centered presentation focusing on solving math problems in physics. The other employed dense student to instructor and student-to-student interaction in the classroom with a learning approach characterized by inquiry methods of content delivery. The investigation asked three questions. First it sought to identify what expectations students brought to the classroom about what they would experience and how they would be taught. Second it examined how the tools and practices used to facilitate learning actually affected the classroom culture. Finally the study explored what affect if any the pedagogical practices students experienced had on their measured performance outcomes. These students were strongly influenced by their teacher-centered background and were not expecting any new learning strategies. They found significantly different classroom cultures between the two classes and achieved performance results that clearly were affected by the delivery techniques they experienced.

The representation of multiplication and division facts in memory.

PubMed

De Brauwer, Jolien; Fias, Wim

2011-01-01

Recently, using a training paradigm, Campbell and Agnew (2009) observed cross-operation response time savings with nonidentical elements (e.g., practice 3 + 2, test 5 - 2) for addition and subtraction, showing that a single memory representation underlies addition and subtraction performance. Evidence for cross-operation savings between multiplication and division have been described frequently (e.g., Campbell, Fuchs-Lacelle, & Phenix, 2006) but they have always been attributed to a mediation strategy (reformulating a division problem as a multiplication problem, e.g., Campbell et al., 2006). Campbell and Agnew (2009) therefore concluded that there exists a fundamental difference between addition and subtraction on the one hand and multiplication and division on the other hand. However, our results suggest that retrieval savings between inverse multiplication and division problems can be observed. Even for small problems (solved by direct retrieval) practicing a division problem facilitated the corresponding multiplication problem and vice versa. These findings indicate that shared memory representations underlie multiplication and division retrieval. Hence, memory and learning processes do not seem to differ fundamentally between addition-subtraction and multiplication-division.

Multiple Case Comparison of the In-Transit Visibility Business Process

DTIC Science & Technology

2003-03-01

therefore we give it the highest levels of development , testing, training, continuous improvement (lessons learned ) with all of the staff. b. How do you... the Air Force. Results from this study indicate that a lack of emphasis on policy development and management practices, rather than poor system...frequently require information on what they will receive, not just when they will receive it (Gilmore, 2002). This shift in strategy makes the study

Literacy events during science instruction in a fifth-grade classroom: Listening to teacher and student voices

NASA Astrophysics Data System (ADS)

Deal, Debby

Concern with science literacy and how to achieve it has a long history in our education system. The goals and definitions established by the National Science Education Standards (1996) suggest that if we are to successfully prepare students for the information age, science education must blend the natural and social sciences. However, research indicates that connections between hands-on science and literacy, as a tool for processing information, do not regularly occur during school science instruction. This case study explored the use of literacy by a second year teacher in a fifth grade class during consecutive science units on chemistry and liquids. The research questions focused on how and why the teacher and students used literacy during science and how and why the teacher and selected focus students believed literacy influenced their learning in science. Data was collected through classroom observations and multiple interviews with the teacher and selected focus students. Interview data was analyzed and coded using an iterative process. Field notes and student artifacts were used to triangulate the data. The study found that the teacher and students used reading and writing to record and acquire content knowledge, learn to be organized, and to facilitate assessment. Although the teacher had learned content literacy strategies in her pre-service program, she did not implement them in the classroom and her practice seemed to reflect her limited science content knowledge and understanding of the nature of science. The focus students believed that recording and studying notes, reading books, drawing, and reading study guides helped them learn science. The findings suggest the following implications: (1) More data is needed on the relationship between teaching approach, science content knowledge, and beliefs about science. (2) Elementary student voices make a valuable contribution to our understanding of science learning. (3) Pre-service candidates should have multiple opportunities to explicitly reflect on their beliefs about literacy, the nature of science, and learning in general. (4) Science methods classes should balance content, beliefs and attitudes related to science, and content literacy strategies.

Graded Multiple Choice Questions: Rewarding Understanding and Preventing Plagiarism

NASA Astrophysics Data System (ADS)

Denyer, G. S.; Hancock, D.

2002-08-01

This paper describes an easily implemented method that allows the generation and analysis of graded multiple-choice examinations. The technique, which uses standard functions in user-end software (Microsoft Excel 5+), can also produce several different versions of an examination that can be employed to prevent the reward of plagarism. The manuscript also discusses the advantages of having a graded marking system for the elimination of ambiguities, use in multi-step calculation questions, and questions that require extrapolation or reasoning. The advantages of the scrambling strategy, which maintains the same question order, is discussed with reference to student equity. The system provides a non-confrontational mechanism for dealing with cheating in large-class multiple-choice examinations, as well as providing a reward for problem solving over surface learning.

Learning Goals and Strategies in the Self-regulation of Learning

ERIC Educational Resources Information Center

Gaeta Gonzalez, Martha Leticia

2013-01-01

In order to self-regulate their learning, students need to use different strategies to plan, monitor, and evaluate their learning activities (meta-cognitive strategies), as well as to control their motivation and emotion (volitional strategies). Students' effectiveness in their self-regulated learning process also varies depending on the academic…

Alpha test results for a Housing First eLearning strategy: the value of multiple qualitative methods for intervention design.

PubMed

Ahonen, Emily Q; Watson, Dennis P; Adams, Erin L; McGuire, Alan

2017-01-01

Detailed descriptions of implementation strategies are lacking, and there is a corresponding dearth of information regarding methods employed in implementation strategy development. This paper describes methods and findings related to the alpha testing of eLearning modules developed as part of the Housing First Technical Assistance and Training (HFTAT) program's development. Alpha testing is an approach for improving the quality of a product prior to beta (i.e., real world) testing with potential applications for intervention development. Ten participants in two cities tested the modules. We collected data through (1) a structured log where participants were asked to record their experiences as they worked through the modules; (2) a brief online questionnaire delivered at the end of each module; and (3) focus groups. The alpha test provided useful data related to the acceptability and feasibility of eLearning as an implementation strategy, as well as identifying a number of technical issues and bugs. Each of the qualitative methods used provided unique and valuable information. In particular, logs were the most useful for identifying technical issues, and focus groups provided high quality data regarding how the intervention could best be used as an implementation strategy. Alpha testing was a valuable step in intervention development, providing us an understanding of issues that would have been more difficult to address at a later stage of the study. As a result, we were able to improve the modules prior to pilot testing of the entire HFTAT. Researchers wishing to alpha test interventions prior to piloting should balance the unique benefits of different data collection approaches with the need to minimize burdens for themselves and participants.

Preparing Brigade Combat Team Soldiers for Mission Readiness Through Research on Intangible Psychological Constructs and their Applications. Phase 2: Measurement and Learning Methods

DTIC Science & Technology

2014-02-01

10 Cognitive Learning Strategies, Metacognitive Strategies, Scaffolding, and Cognitive Tutoring...culture, technology , and instructional practices. 11 7. Motivational and emotional influences on learning - What and how much is learned is...of learning and intangible skills. These resulting set of theories includes: 12 • Cognitive learning strategies, metacognitive strategies

Communication strategy for implementing community IMCI.

PubMed

Ford, Neil; Williams, Abimbola; Renshaw, Melanie; Nkum, John

2005-01-01

In resource-poor developing countries, significant improvements in child survival, growth, and development can be made by: (a) shifting from sectoral programmes (for example, in nutrition or immunization) to holistic strategies such as the Integrated Management of Childhood Illnesses (IMCI) and (b) improving household and community care and health-seeking practices as a priority, while concurrently strengthening health systems and the skills of health professionals. This article focuses on household and community learning, and proposes a communication strategy for implementing community IMCI (c-IMCI) that is based on human rights principles such as inclusion, participation, and self-determination. Rather than attempt to change the care practices and health-seeking behaviour of individuals through the design and delivery of messages alone, it proposes an approach that is based on community engagement and discussion to create the social conditions in which individual change is possible. The strategy advocates for the integration of sectoral programmes rather than the development of new holistic programmes, so that integrated programmes are created from "multiple entry points". As integration occurs, the participatory communication processes that are used in sectoral programmes can be enriched and combined, improving the capacity of governments and agencies to engage community members effectively in a process of learning and action related to child health and development.

Empowering Students with Language Learning Strategies: A Critical Review of Current Issues

ERIC Educational Resources Information Center

Rivera-Mills, Susanna V.; Plonsky, Luke

2007-01-01

This article analyzes the body of research literature that has brought us to the state of our current knowledge regarding learning strategies in general and learning strategies Instruction as they relate to second language acquisition (SLA). Three categories are discussed: (1) types of learning strategies, (2) learning autonomy and strategy…

Adaptive strategies for cumulative cultural learning.

PubMed

Ehn, Micael; Laland, Kevin

2012-05-21

The demographic and ecological success of our species is frequently attributed to our capacity for cumulative culture. However, it is not yet known how humans combine social and asocial learning to generate effective strategies for learning in a cumulative cultural context. Here we explore how cumulative culture influences the relative merits of various pure and conditional learning strategies, including pure asocial and social learning, critical social learning, conditional social learning and individual refiner strategies. We replicate the Rogers' paradox in the cumulative setting. However, our analysis suggests that strategies that resolved Rogers' paradox in a non-cumulative setting may not necessarily evolve in a cumulative setting, thus different strategies will optimize cumulative and non-cumulative cultural learning. Copyright © 2012 Elsevier Ltd. All rights reserved.

The Learning Environment Counts: Longitudinal Qualitative Analysis of Study Strategies Adopted by First-Year Medical Students in a Competency-Based Educational Program.

PubMed

Bierer, S Beth; Dannefer, Elaine F

2016-11-01

The move toward competency-based education will require medical schools and postgraduate training programs to restructure learning environments to motivate trainees to take personal ownership for learning. This qualitative study explores how medical students select and implement study strategies while enrolled in a unique, nontraditional program that emphasizes reflection on performance and competence rather than relying on high-stakes examinations or grades to motivate students to learn and excel. Fourteen first-year medical students volunteered to participate in three, 45-minute interviews (42 overall) scheduled three months apart during 2013-2014. Two medical educators used structured interview guides to solicit students' previous assessment experiences, preferred learning strategies, and performance monitoring processes. Interviews were digitally recorded and transcribed verbatim. Participants confirmed accuracy of transcripts. Researchers independently read transcripts and met regularly to discuss transcripts and judge when themes achieved saturation. Medical students can adopt an assessment for learning mind-set with faculty guidance and implement appropriate study strategies for mastery-learning demands. Though students developed new strategies at different rates during the year, they all eventually identified study and performance monitoring strategies to meet learning needs. Students who had diverse learning experiences in college embraced mastery-based study strategies sooner than peers after recognizing that the learning environment did not reward performance-based strategies. Medical students can take ownership for their learning and implement specific strategies to regulate behavior when learning environments contain building blocks emphasized in self-determination theory. Findings should generalize to educational programs seeking strategies to design learning environments that promote self-regulated learning.

Data Mining Student Answers with Moodle to Investigate Learning Pathways in an Introductory Geohazards Course

NASA Astrophysics Data System (ADS)

Sit, S. M.; Brudzinski, M. R.; Colella, H. V.

2012-12-01

The recent growth of online learning in higher education is primarily motivated by a desire to (a) increase the availability of learning experiences for learners who cannot, or choose not, to attend traditional face-to-face offerings, (b) assemble and disseminate instructional content more cost-efficiently, or (c) enable instructors to handle more students while maintaining a learning outcome quality that is equivalent to that of comparable face-to-face instruction. However, a less recognized incentive is that online learning also provides an opportunity for data mining, or efficient discovery of non-obvious valuable patterns from a large collection of data, that can be used to investigate learning pathways as opposed to focusing solely on assessing student outcomes. Course management systems that enable online courses provide a means to collect a vast amount of information to analyze students' behavior and the learning process in general. One of the most commonly used is Moodle (modular object-oriented developmental learning environment), a free learning management system that enables creation of powerful, flexible, and engaging online courses and experiences. In order to examine student learning pathways, the online learning modules we are constructing take advantage of Moodle capabilities to provide immediate formative feedback, verifying answers as correct or incorrect and elaborating on knowledge components to guide students towards the correct answer. By permitting multiple attempts in which credit is diminished for each incorrect answer, we provide opportunities to use data mining strategies to assess thousands of students' actions for evidence of problem solving strategies and mastery of concepts. We will show preliminary results from application of this approach to a ~90 student introductory geohazard course that is migrating toward online instruction. We hope more continuous assessment of students' performances will help generate cognitive models that can inform instructional redesign, improve overall efficiency of student learning, and, potentially, be used to create an intelligent tutoring system.

A Task-Based Language Teaching Approach to Developing Metacognitive Strategies for Listening Comprehension

ERIC Educational Resources Information Center

Chou, Mu-Hsuan

2017-01-01

In second (L2) or foreign language (FL) learning, learning strategies help learners perform tasks, solve specific problems, and compensate for learning deficits. Of the strategy types, metacognitive strategies manage and regulate the construction of L2 or FL knowledge. Although learning strategies are frequently taught via teacher demonstration,…

Empowering Students with Word-Learning Strategies: Teach a Child to Fish

ERIC Educational Resources Information Center

Graves, Michael F.; Schneider, Steven; Ringstaff, Cathy

2018-01-01

This article on word-learning strategies describes a theory- and research-based set of procedures for teaching students to use word-learning strategies--word parts, context clues, the dictionary, and a combined strategy--to infer the meanings of unknown words. The article begins with a rationale for teaching word-learning strategies, particularly…

Theodore E. Woodward Award: Spare Me the Powerpoint and Bring Back the Medical Textbook

PubMed Central

Southwick, Frederick S.

2007-01-01

A tutorial for 4th year medical students revealed absent long-term retention of microbiology and infectious disease facts taught during the 2nd year. Students were suffering from the Ziegarnik effect, the loss of memory after completion of a task. PowerPoint lectures and PowerPoint notes combined with multiple-choice questions may have encouraged this outcome; this teaching format was also associated with minimal use of the course textbook. During the subsequent year, active learning techniques, Just-in-Time Teaching (JiTT) and Peer Instruction (PI) were used, and instructors specifically taught from the textbook. Essays and short answer questions were combined with multiple-choice questions to encourage understanding and recall. Performance on the National Board Shelf exam improved from the 59th percentile (2002–2004) to the 83rd percentile (2005), and textbook use increased from 1.6% to 79%. This experience demonstrates that strategies incorporating active learning and textbook use correlate with striking improvement in medical student performance. PMID:18528495

Efficient Multiple Kernel Learning Algorithms Using Low-Rank Representation.

PubMed

Niu, Wenjia; Xia, Kewen; Zu, Baokai; Bai, Jianchuan

2017-01-01

Unlike Support Vector Machine (SVM), Multiple Kernel Learning (MKL) allows datasets to be free to choose the useful kernels based on their distribution characteristics rather than a precise one. It has been shown in the literature that MKL holds superior recognition accuracy compared with SVM, however, at the expense of time consuming computations. This creates analytical and computational difficulties in solving MKL algorithms. To overcome this issue, we first develop a novel kernel approximation approach for MKL and then propose an efficient Low-Rank MKL (LR-MKL) algorithm by using the Low-Rank Representation (LRR). It is well-acknowledged that LRR can reduce dimension while retaining the data features under a global low-rank constraint. Furthermore, we redesign the binary-class MKL as the multiclass MKL based on pairwise strategy. Finally, the recognition effect and efficiency of LR-MKL are verified on the datasets Yale, ORL, LSVT, and Digit. Experimental results show that the proposed LR-MKL algorithm is an efficient kernel weights allocation method in MKL and boosts the performance of MKL largely.

Integrating semantic information into multiple kernels for protein-protein interaction extraction from biomedical literatures.

PubMed

Li, Lishuang; Zhang, Panpan; Zheng, Tianfu; Zhang, Hongying; Jiang, Zhenchao; Huang, Degen

2014-01-01

Protein-Protein Interaction (PPI) extraction is an important task in the biomedical information extraction. Presently, many machine learning methods for PPI extraction have achieved promising results. However, the performance is still not satisfactory. One reason is that the semantic resources were basically ignored. In this paper, we propose a multiple-kernel learning-based approach to extract PPIs, combining the feature-based kernel, tree kernel and semantic kernel. Particularly, we extend the shortest path-enclosed tree kernel (SPT) by a dynamic extended strategy to retrieve the richer syntactic information. Our semantic kernel calculates the protein-protein pair similarity and the context similarity based on two semantic resources: WordNet and Medical Subject Heading (MeSH). We evaluate our method with Support Vector Machine (SVM) and achieve an F-score of 69.40% and an AUC of 92.00%, which show that our method outperforms most of the state-of-the-art systems by integrating semantic information.

Investigating the Impact of Using a CAD Simulation Tool on Students' Learning of Design Thinking

NASA Astrophysics Data System (ADS)

Taleyarkhan, Manaz; Dasgupta, Chandan; Garcia, John Mendoza; Magana, Alejandra J.

2018-02-01

Engineering design thinking is hard to teach and still harder to learn by novices primarily due to the undetermined nature of engineering problems that often results in multiple solutions. In this paper, we investigate the effect of teaching engineering design thinking to freshmen students by using a computer-aided Design (CAD) simulation software. We present a framework for characterizing different levels of engineering design thinking displayed by students who interacted with the CAD simulation software in the context of a collaborative assignment. This framework describes the presence of four levels of engineering design thinking—beginning designer, adept beginning designer, informed designer, adept informed designer. We present the characteristics associated with each of these four levels as they pertain to four engineering design strategies that students pursued in this study—understanding the design challenge, building knowledge, weighing options and making tradeoffs, and reflecting on the process. Students demonstrated significant improvements in two strategies—understanding the design challenge and building knowledge. We discuss the affordances of the CAD simulation tool along with the learning environment that potentially helped students move towards Adept informed designers while pursuing these design strategies.

Conceptual Learning with Multiple Graphical Representations: Intelligent Tutoring Systems Support for Sense-Making and Fluency-Building Processes

ERIC Educational Resources Information Center

Rau, Martina A.

2013-01-01

Most learning environments in the STEM disciplines use multiple graphical representations along with textual descriptions and symbolic representations. Multiple graphical representations are powerful learning tools because they can emphasize complementary aspects of complex learning contents. However, to benefit from multiple graphical…

The ALIVE Project: Astronomy Learning in Immersive Virtual Environments

NASA Astrophysics Data System (ADS)

Yu, K. C.; Sahami, K.; Denn, G.

2008-06-01

The Astronomy Learning in Immersive Virtual Environments (ALIVE) project seeks to discover learning modes and optimal teaching strategies using immersive virtual environments (VEs). VEs are computer-generated, three-dimensional environments that can be navigated to provide multiple perspectives. Immersive VEs provide the additional benefit of surrounding a viewer with the simulated reality. ALIVE evaluates the incorporation of an interactive, real-time ``virtual universe'' into formal college astronomy education. In the experiment, pre-course, post-course, and curriculum tests will be used to determine the efficacy of immersive visualizations presented in a digital planetarium versus the same visual simulations in the non-immersive setting of a normal classroom, as well as a control case using traditional classroom multimedia. To normalize for inter-instructor variability, each ALIVE instructor will teach at least one of each class in each of the three test groups.

Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking

PubMed Central

Xue, Ming; Yang, Hua; Zheng, Shibao; Zhou, Yi; Yu, Zhenghua

2014-01-01

To tackle robust object tracking for video sensor-based applications, an online discriminative algorithm based on incremental discriminative structured dictionary learning (IDSDL-VT) is presented. In our framework, a discriminative dictionary combining both positive, negative and trivial patches is designed to sparsely represent the overlapped target patches. Then, a local update (LU) strategy is proposed for sparse coefficient learning. To formulate the training and classification process, a multiple linear classifier group based on a K-combined voting (KCV) function is proposed. As the dictionary evolves, the models are also trained to timely adapt the target appearance variation. Qualitative and quantitative evaluations on challenging image sequences compared with state-of-the-art algorithms demonstrate that the proposed tracking algorithm achieves a more favorable performance. We also illustrate its relay application in visual sensor networks. PMID:24549252

The Use of Vocabulary Learning Strategies in Teaching Turkish as a Second Language

ERIC Educational Resources Information Center

Baskin, Sami; Iscan, Adem; Karagoz, Beytullah; Birol, Gülnur

2017-01-01

Vocabulary learning is the basis of the language learning process in teaching Turkish as a second language. Vocabulary learning strategies need to be used in order for vocabulary learning to take place effectively. The use of vocabulary learning strategies facilitates vocabulary learning and increases student achievement. Each student uses a…

Language Learning Strategies Used by Distance Learners of English: A Study with a Group of Turkish Distance Learners of EFL

ERIC Educational Resources Information Center

Altunay, Dilek

2014-01-01

Use of language learning strategies is important for language learning. Some researchers state that language learning strategies are important because their use affects the development of communicative competence (Lessard-Clouston, 1997 & Oxford, 1990). Effective use of language learning strategies has particular importance for distance…

Advanced building energy management system demonstration for Department of Defense buildings.

PubMed

O'Neill, Zheng; Bailey, Trevor; Dong, Bing; Shashanka, Madhusudana; Luo, Dong

2013-08-01

This paper presents an advanced building energy management system (aBEMS) that employs advanced methods of whole-building performance monitoring combined with statistical methods of learning and data analysis to enable identification of both gradual and discrete performance erosion and faults. This system assimilated data collected from multiple sources, including blueprints, reduced-order models (ROM) and measurements, and employed advanced statistical learning algorithms to identify patterns of anomalies. The results were presented graphically in a manner understandable to facilities managers. A demonstration of aBEMS was conducted in buildings at Naval Station Great Lakes. The facility building management systems were extended to incorporate the energy diagnostics and analysis algorithms, producing systematic identification of more efficient operation strategies. At Naval Station Great Lakes, greater than 20% savings were demonstrated for building energy consumption by improving facility manager decision support to diagnose energy faults and prioritize alternative, energy-efficient operation strategies. The paper concludes with recommendations for widespread aBEMS success. © 2013 New York Academy of Sciences.

Intelligent automated control of life support systems using proportional representations.

PubMed

Wu, Annie S; Garibay, Ivan I

2004-06-01

Effective automatic control of Advanced Life Support Systems (ALSS) is a crucial component of space exploration. An ALSS is a coupled dynamical system which can be extremely sensitive and difficult to predict. As a result, such systems can be difficult to control using deliberative and deterministic methods. We investigate the performance of two machine learning algorithms, a genetic algorithm (GA) and a stochastic hill-climber (SH), on the problem of learning how to control an ALSS, and compare the impact of two different types of problem representations on the performance of both algorithms. We perform experiments on three ALSS optimization problems using five strategies with multiple variations of a proportional representation for a total of 120 experiments. Results indicate that although a proportional representation can effectively boost GA performance, it does not necessarily have the same effect on other algorithms such as SH. Results also support previous conclusions that multivector control strategies are an effective method for control of coupled dynamical systems.

The value of demonstration projects for new interventions: The case of human papillomavirus vaccine introduction in low- and middle-income countries.

PubMed

Howard, N; Mounier-Jack, S; Gallagher, K E; Kabakama, S; Griffiths, U K; Feletto, M; LaMontagne, D S; Burchett, H E D; Watson-Jones, D

2016-09-01

Demonstration projects or pilots of new public health interventions aim to build learning and capacity to inform country-wide implementation. Authors examined the value of HPV vaccination demonstration projects and initial national programmes in low-income and lower-middle-income countries, including potential drawbacks and how value for national scale-up might be increased. Data from a systematic review and key informant interviews, analyzed thematically, included 55 demonstration projects and 8 national programmes implemented between 2007-2015 (89 years' experience). Initial demonstration projects quickly provided consistent lessons. Value would increase if projects were designed to inform sustainable national scale-up. Well-designed projects can test multiple delivery strategies, implementation for challenging areas and populations, and integration with national systems. Introduction of vaccines or other health interventions, particularly those involving new target groups or delivery strategies, needs flexible funding approaches to address specific questions of scalability and sustainability, including learning lessons through phased national expansion.

Beyond supervised learning: A multi-perspective approach to outpatient physical therapy mentoring.

PubMed

Buning, Megan M; Buning, Shaun W

2018-02-23

Novice physical therapists face multiple challenges as they transition to autonomous, efficient, and seasoned therapists. Mentoring is known to facilitate growth among novice therapists; however, formalized mentoring programs within the outpatient setting are scarce or management-centered. This study sought to explore the most desired components of a formal mentoring program from multiple perspectives. An inductive qualitative inquiry explored perceptions of participants (n = 35) from four populations. Interviews were conducted with students (n = 5) and novice therapists (n = 5), and survey data was collected from faculty (n = 7) and expert therapists (n = 18). Thematic content analysis was used for data analysis. Three primary themes emerged as program emphasis: 1) Program function; 2) novice therapists' needs; and 3) the making of a mentorship (including mentor/mentee characteristics and matching strategy). This study captured multiple perspectives as to the components of interest in development of a formalized mentoring program for novice therapists in the outpatient setting. As the profession continues to emphasize standards for guided learning, steps must be taken by individual employers to promote and facilitate the most effective practices. Findings provide depth and suggestions for developing an outpatient-mentoring program.

Metacognition and Successful Learning Strategies in Higher Education

ERIC Educational Resources Information Center

Railean, Elena, Ed.; Alev Elçi, Ed.; Elçi, Atilla, Ed.

2017-01-01

Metacognition plays an important role in numerous aspects of higher educational learning strategies. When properly integrated in the educational system, schools are better equipped to build more efficient and successful learning strategies for students in higher education. "Metacognition and Successful Learning Strategies in Higher…

Learning Strategy Preference and Personality Type: Are They Related?

ERIC Educational Resources Information Center

Conti, Gary J.; McNeil, Rita C.

2011-01-01

This study investigated the relationship of learning strategy preference to personality type. Learning strategy preference was identified with the "A"ssessing "T"he "L"earning Strategies of "A"dult"S" (ATLAS), and personality type was measured with the Myers-Briggs Type Indicator (MBTI). The…

Lessons Learned in Evaluating a Multisite, Comprehensive Teen Dating Violence Prevention Strategy: Design and Challenges of the Evaluation of Dating Matters: Strategies to Promote Healthy Teen Relationships.

PubMed

Niolon, Phyllis Holditch; Taylor, Bruce G; Latzman, Natasha E; Vivolo-Kantor, Alana M; Valle, Linda Anne; Tharp, Andra T

2016-03-01

This paper describes the multisite, longitudinal cluster randomized controlled trial (RCT) design of the evaluation of the Dating Matters: Strategies to Promote Healthy Relationships initiative, and discusses challenges faced in conducting this evaluation. Health departments in 4 communities are partnering with middle schools in high-risk, urban communities to implement 2 models of teen dating violence (TDV) prevention over 4 years. Schools were randomized to receive either the Dating Matters comprehensive strategy or the "standard of care" strategy (an existing, evidence-based TDV prevention curriculum). Our design permits comparison of the relative effectiveness of the comprehensive and standard of care strategies. Multiple cohorts of students from 46 middle schools are surveyed in middle school and high school, and parents and educators from participating schools are also surveyed. Challenges discussed in conducting a multisite RCT include site variability, separation of implementation and evaluation responsibilities, school retention, parent engagement in research activities, and working within the context of high-risk urban schools and communities. We discuss the strengths and weaknesses of our approaches to these challenges in the hopes of informing future research. Despite multiple challenges, the design of the Dating Matters evaluation remains strong. We hope this paper provides researchers who are conducting complex evaluations of behavioral interventions with thoughtful discussion of the challenges we have faced and potential solutions to such challenges.

Lessons Learned in Evaluating a Multisite, Comprehensive Teen Dating Violence Prevention Strategy: Design and Challenges of the Evaluation of Dating Matters: Strategies to Promote Healthy Teen Relationships

PubMed Central

Niolon, Phyllis Holditch; Taylor, Bruce G.; Latzman, Natasha E.; Vivolo-Kantor, Alana M.; Valle, Linda Anne; Tharp, Andra T.

2018-01-01

Objective This paper describes the multisite, longitudinal cluster randomized controlled trial (RCT) design of the evaluation of the Dating Matters: Strategies to Promote Healthy Relationships initiative, and discusses challenges faced in conducting this evaluation. Method Health departments in 4 communities are partnering with middle schools in high-risk, urban communities to implement 2 models of teen dating violence (TDV) prevention over 4 years. Schools were randomized to receive either the Dating Matters comprehensive strategy or the “standard of care” strategy (an existing, evidence-based TDV prevention curriculum). Our design permits comparison of the relative effectiveness of the comprehensive and standard of care strategies. Multiple cohorts of students from 46 middle schools are surveyed in middle school and high school, and parents and educators from participating schools are also surveyed. Results Challenges discussed in conducting a multisite RCT include site variability, separation of implementation and evaluation responsibilities, school retention, parent engagement in research activities, and working within the context of high-risk urban schools and communities. We discuss the strengths and weaknesses of our approaches to these challenges in the hopes of informing future research. Conclusions Despite multiple challenges, the design of the Dating Matters evaluation remains strong. We hope this paper provides researchers who are conducting complex evaluations of behavioral interventions with thoughtful discussion of the challenges we have faced and potential solutions to such challenges. PMID:29607239

The Effects of Program Embedded Learning Strategies, Using an Imagery Cue Strategy and an Attention Directing Strategy, to Improve Learning from Micro Computer Based Instruction (MCBI).

ERIC Educational Resources Information Center

Taylor, William; And Others

The effects of the Attention Directing Strategy and Imagery Cue Strategy as program embedded learning strategies for microcomputer-based instruction (MCBI) were examined in this study. Eight learning conditions with identical instructional content on the parts and operation of the human heart were designed: either self-paced or externally-paced,…

Immediate response strategy and shift to place strategy in submerged T-maze.

PubMed

Asem, Judith S A; Holland, Peter C

2013-12-01

A considerable amount of research has demonstrated that animals can use different strategies when learning about, and navigating within, their environment. Since the influential research of Packard and McGaugh (1996), it has been widely accepted that, early in learning, rats use a flexible dorsal hippocampal-dependent place strategy. As learning progresses, they switch to a less effortful and more automatic dorsolateral caudate-dependent response strategy. However, supporting literature is dominated by the use of appetitively motivated tasks, using food reward. Because motivation often plays a crucial role in guiding learning, memory, and behavior, we examined spatial learning strategies of rats in an escape-motivated submerged T-maze. In Experiment 1, we observed rapid learning and the opposite pattern as that reported in appetitively motivated tasks. Rats exhibited a response strategy early in learning before switching to a place strategy, which persisted over extensive training. In Experiment 2, we replicated Packard and McGaugh's (1996) observations, using the apparatus and procedures as in Experiment 1, but with food reward instead of water escape. Mechanisms for, and implications of, this motivational modulation of spatial learning strategy are considered.

The Science of Serious Gaming: Exploring the Benefits of Science-Based Games in the Classroom

NASA Astrophysics Data System (ADS)

Kurtz, N.

2016-02-01

Finding ways to connect scientists with the classroom is an important part of sharing enthusiasm for science with the public. Utilizing the visual arts and serious gaming techniques has benefits for all participants including the engagement of multiple learning sectors and the involvement of whole-brain teaching methods. The activities in this presentation draw from real-world events that require higher level thinking strategies to discover and differential naturally occurring patterns.

Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers

ERIC Educational Resources Information Center

Gracious, F. L. Antony; Shyla, F. L. Jasmine Anne

2012-01-01

The present study Multiple Intelligence and Digital Learning Awareness of prospective B.Ed teachers was probed to find the relationship between Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers. Data for the study were collected using self made Multiple Intelligence Inventory and Digital Learning Awareness Scale.…

The implementation of multiple intelligences based teaching model to improve mathematical problem solving ability for student of junior high school

NASA Astrophysics Data System (ADS)

Fasni, Nurli; Fatimah, Siti; Yulanda, Syerli

2017-05-01

This research aims to achieve some purposes such as: to know whether mathematical problem solving ability of students who have learned mathematics using Multiple Intelligences based teaching model is higher than the student who have learned mathematics using cooperative learning; to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using Multiple Intelligences based teaching model., to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using cooperative learning; to know the attitude of the students to Multiple Intelligences based teaching model. The method employed here is quasi-experiment which is controlled by pre-test and post-test. The population of this research is all of VII grade in SMP Negeri 14 Bandung even-term 2013/2014, later on two classes of it were taken for the samples of this research. A class was taught using Multiple Intelligences based teaching model and the other one was taught using cooperative learning. The data of this research were gotten from the test in mathematical problem solving, scale questionnaire of the student attitudes, and observation. The results show the mathematical problem solving of the students who have learned mathematics using Multiple Intelligences based teaching model learning is higher than the student who have learned mathematics using cooperative learning, the mathematical problem solving ability of the student who have learned mathematics using cooperative learning and Multiple Intelligences based teaching model are in intermediate level, and the students showed the positive attitude in learning mathematics using Multiple Intelligences based teaching model. As for the recommendation for next author, Multiple Intelligences based teaching model can be tested on other subject and other ability.

Language Learning Strategies and Its Training Model

ERIC Educational Resources Information Center

Liu, Jing

2010-01-01

This paper summarizes and reviews the literature regarding language learning strategies and it's training model, pointing out the significance of language learning strategies to EFL learners and an applicable and effective language learning strategies training model, which is beneficial both to EFL learners and instructors, is badly needed.

A Study of the Role of Rote Learning in Vocabulary Learning Strategies of Burmese Students

ERIC Educational Resources Information Center

Sinhaneti, Kantatip; Kyaw, Ei Kalayar

2012-01-01

This study was conducted to investigate the role of RL (rote learning) in VLSs (vocabulary learning strategies) of Burmese EFL (English as a foreign language) students. The research addresses the need of the concrete understanding of the role of RL strategy in vocabulary learning as well as Burmese EFL learners' perspectives on RL strategy among…

Successful Transfer of a Motor Learning Strategy to a Novel Sport.

PubMed

Kearney, Philip E; Judge, Phil

2017-10-01

This study investigated whether secondary school students who were taught a motor learning strategy could transfer their knowledge of the strategy to learning a novel task. Twenty adolescents were randomly allocated to a strategy or control group. The strategy group was taught Singer's five-step learning strategy, while the control group received information on the evolution and biomechanics of the basketball free throw. Both groups received three 1-hour practice sessions on a modified basketball shooting task. After one month, participants were introduced to the transfer task, golf putting. Performance accuracy was recorded for all tasks, and participants completed questionnaires regarding strategy use during practice. Participants taught the five-step learning strategy successfully recalled and applied it after a 1-month interval, and they demonstrated superior performance on both acquisition and transfer tasks, relative to the control group. Physical education teachers and coaches should consider using this learning strategy to enhance the learning of closed motor skills.

Robust leader-follower formation tracking control of multiple underactuated surface vessels

NASA Astrophysics Data System (ADS)

Peng, Zhou-hua; Wang, Dan; Lan, Wei-yao; Sun, Gang

2012-09-01

This paper is concerned with the formation control problem of multiple underactuated surface vessels moving in a leader-follower formation. The formation is achieved by the follower to track a virtual target defined relative to the leader. A robust adaptive target tracking law is proposed by using neural network and backstepping techniques. The advantage of the proposed control scheme is that the uncertain nonlinear dynamics caused by Coriolis/centripetal forces, nonlinear damping, unmodeled hydrodynamics and disturbances from the environment can be compensated by on line learning. Based on Lyapunov analysis, the proposed controller guarantees the tracking errors converge to a small neighborhood of the origin. Simulation results demonstrate the effectiveness of the control strategy.

Quantitative consensus of supervised learners for diffuse lung parenchymal HRCT patterns

NASA Astrophysics Data System (ADS)

Raghunath, Sushravya; Rajagopalan, Srinivasan; Karwoski, Ronald A.; Bartholmai, Brian J.; Robb, Richard A.

2013-03-01

Automated lung parenchymal classification usually relies on supervised learning of expert chosen regions representative of the visually differentiable HRCT patterns specific to different pathologies (eg. emphysema, ground glass, honey combing, reticular and normal). Considering the elusiveness of a single most discriminating similarity measure, a plurality of weak learners can be combined to improve the machine learnability. Though a number of quantitative combination strategies exist, their efficacy is data and domain dependent. In this paper, we investigate multiple (N=12) quantitative consensus approaches to combine the clusters obtained with multiple (n=33) probability density-based similarity measures. Our study shows that hypergraph based meta-clustering and probabilistic clustering provides optimal expert-metric agreement.

Research and Engagement Strategies for Young Adult Immigrants Without Documentation: Lessons Learned Through Community Partnership.

PubMed

Raymond-Flesch, Marissa; Siemons, Rachel; Brindis, Claire D

2016-01-01

Limited research has focused on undocumented immigrants' health and access to care. This paper describes participant engagement strategies used to investigate the health needs of immigrants eligible for Deferred Action for Childhood Arrivals (DACA). Community-based strategies engaged advocates and undocumented Californians in study design and recruitment. Outreach in diverse settings, social media, and participant-driven sampling recruited 61 DACA-eligible focus group participants. Social media, community-based organizations (CBOs), family members, advocacy groups, and participant-driven sampling were the most successful recruitment strategies. Participants felt engaging in research was instrumental for sharing their concerns with health care providers and policymakers, noteworthy in light of their previously identified fears and mistrust of government officials. Using multiple culturally responsive strategies including participant-driven sampling, engagement with CBOs, and use of social media, those eligible for DACA eagerly engage as research participants. Educating researchers and institutional review boards (IRBs) about legal and safety concerns can improve research engagement.

Detailed classification of swimming paths in the Morris Water Maze: multiple strategies within one trial

PubMed Central

Gehring, Tiago V.; Luksys, Gediminas; Sandi, Carmen; Vasilaki, Eleni

2015-01-01

The Morris Water Maze is a widely used task in studies of spatial learning with rodents. Classical performance measures of animals in the Morris Water Maze include the escape latency, and the cumulative distance to the platform. Other methods focus on classifying trajectory patterns to stereotypical classes representing different animal strategies. However, these approaches typically consider trajectories as a whole, and as a consequence they assign one full trajectory to one class, whereas animals often switch between these strategies, and their corresponding classes, within a single trial. To this end, we take a different approach: we look for segments of diverse animal behaviour within one trial and employ a semi-automated classification method for identifying the various strategies exhibited by the animals within a trial. Our method allows us to reveal significant and systematic differences in the exploration strategies of two animal groups (stressed, non-stressed), that would be unobserved by earlier methods. PMID:26423140

Learning to choose: Cognitive aging and strategy selection learning in decision making.

PubMed

Mata, Rui; von Helversen, Bettina; Rieskamp, Jörg

2010-06-01

Decision makers often have to learn from experience. In these situations, people must use the available feedback to select the appropriate decision strategy. How does the ability to select decision strategies on the basis of experience change with age? We examined younger and older adults' strategy selection learning in a probabilistic inference task using a computational model of strategy selection learning. Older adults showed poorer decision performance compared with younger adults. In particular, older adults performed poorly in an environment favoring the use of a more cognitively demanding strategy. The results suggest that the impact of cognitive aging on strategy selection learning depends on the structure of the decision environment. (c) 2010 APA, all rights reserved

Heterogeneity in perceptual category learning by high functioning children with autism spectrum disorder

PubMed Central

Mercado, Eduardo; Church, Barbara A.; Coutinho, Mariana V. C.; Dovgopoly, Alexander; Lopata, Christopher J.; Toomey, Jennifer A.; Thomeer, Marcus L.

2015-01-01

Previous research suggests that high functioning (HF) children with autism spectrum disorder (ASD) sometimes have problems learning categories, but often appear to perform normally in categorization tasks. The deficits that individuals with ASD show when learning categories have been attributed to executive dysfunction, general deficits in implicit learning, atypical cognitive strategies, or abnormal perceptual biases and abilities. Several of these psychological explanations for category learning deficits have been associated with neural abnormalities such as cortical underconnectivity. The present study evaluated how well existing neurally based theories account for atypical perceptual category learning shown by HF children with ASD across multiple category learning tasks involving novel, abstract shapes. Consistent with earlier results, children’s performances revealed two distinct patterns of learning and generalization associated with ASD: one was indistinguishable from performance in typically developing children; the other revealed dramatic impairments. These two patterns were evident regardless of training regimen or stimulus set. Surprisingly, some children with ASD showed both patterns. Simulations of perceptual category learning could account for the two observed patterns in terms of differences in neural plasticity. However, no current psychological or neural theory adequately explains why a child with ASD might show such large fluctuations in category learning ability across training conditions or stimulus sets. PMID:26157368

More Limitations to Monolingualism: Bilinguals Outperform Monolinguals in Implicit Word Learning.

PubMed

Escudero, Paola; Mulak, Karen E; Fu, Charlene S L; Singh, Leher

2016-01-01

To succeed at cross-situational word learning, learners must infer word-object mappings by attending to the statistical co-occurrences of novel objects and labels across multiple encounters. While past studies have investigated this as a learning mechanism for infants and monolingual adults, bilinguals' cross-situational word learning abilities have yet to be tested. Here, we compared monolinguals' and bilinguals' performance on a cross-situational word learning paradigm that featured phonologically distinct word pairs (e.g., BON-DEET) and phonologically similar word pairs that varied by a single consonant or vowel segment (e.g., BON-TON, DEET-DIT, respectively). Both groups learned the novel word-referent mappings, providing evidence that cross-situational word learning is a learning strategy also available to bilingual adults. Furthermore, bilinguals were overall more accurate than monolinguals. This supports that bilingualism fosters a wide range of cognitive advantages that may benefit implicit word learning. Additionally, response patterns to the different trial types revealed a relative difficulty for vowel minimal pairs than consonant minimal pairs, replicating the pattern found in monolinguals by Escudero et al. (2016) in a different English accent. Specifically, all participants failed to learn vowel contrasts differentiated by vowel height. We discuss evidence for this bilingual advantage as a language-specific or general advantage.

Competition for resources can explain patterns of social and individual learning in nature.

PubMed

Smolla, Marco; Gilman, R Tucker; Galla, Tobias; Shultz, Susanne

2015-09-22

In nature, animals often ignore socially available information despite the multiple theoretical benefits of social learning over individual trial-and-error learning. Using information filtered by others is quicker, more efficient and less risky than randomly sampling the environment. To explain the mix of social and individual learning used by animals in nature, most models penalize the quality of socially derived information as either out of date, of poor fidelity or costly to acquire. Competition for limited resources, a fundamental evolutionary force, provides a compelling, yet hitherto overlooked, explanation for the evolution of mixed-learning strategies. We present a novel model of social learning that incorporates competition and demonstrates that (i) social learning is favoured when competition is weak, but (ii) if competition is strong social learning is favoured only when resource quality is highly variable and there is low environmental turnover. The frequency of social learning in our model always evolves until it reduces the mean foraging success of the population. The results of our model are consistent with empirical studies showing that individuals rely less on social information where resources vary little in quality and where there is high within-patch competition. Our model provides a framework for understanding the evolution of social learning, a prerequisite for human cumulative culture. © 2015 The Author(s).

More Limitations to Monolingualism: Bilinguals Outperform Monolinguals in Implicit Word Learning

PubMed Central

Escudero, Paola; Mulak, Karen E.; Fu, Charlene S. L.; Singh, Leher

2016-01-01

To succeed at cross-situational word learning, learners must infer word-object mappings by attending to the statistical co-occurrences of novel objects and labels across multiple encounters. While past studies have investigated this as a learning mechanism for infants and monolingual adults, bilinguals’ cross-situational word learning abilities have yet to be tested. Here, we compared monolinguals’ and bilinguals’ performance on a cross-situational word learning paradigm that featured phonologically distinct word pairs (e.g., BON-DEET) and phonologically similar word pairs that varied by a single consonant or vowel segment (e.g., BON-TON, DEET-DIT, respectively). Both groups learned the novel word-referent mappings, providing evidence that cross-situational word learning is a learning strategy also available to bilingual adults. Furthermore, bilinguals were overall more accurate than monolinguals. This supports that bilingualism fosters a wide range of cognitive advantages that may benefit implicit word learning. Additionally, response patterns to the different trial types revealed a relative difficulty for vowel minimal pairs than consonant minimal pairs, replicating the pattern found in monolinguals by Escudero et al. (2016) in a different English accent. Specifically, all participants failed to learn vowel contrasts differentiated by vowel height. We discuss evidence for this bilingual advantage as a language-specific or general advantage. PMID:27574513

Competition for resources can explain patterns of social and individual learning in nature

PubMed Central

Smolla, Marco; Gilman, R. Tucker; Galla, Tobias; Shultz, Susanne

2015-01-01

In nature, animals often ignore socially available information despite the multiple theoretical benefits of social learning over individual trial-and-error learning. Using information filtered by others is quicker, more efficient and less risky than randomly sampling the environment. To explain the mix of social and individual learning used by animals in nature, most models penalize the quality of socially derived information as either out of date, of poor fidelity or costly to acquire. Competition for limited resources, a fundamental evolutionary force, provides a compelling, yet hitherto overlooked, explanation for the evolution of mixed-learning strategies. We present a novel model of social learning that incorporates competition and demonstrates that (i) social learning is favoured when competition is weak, but (ii) if competition is strong social learning is favoured only when resource quality is highly variable and there is low environmental turnover. The frequency of social learning in our model always evolves until it reduces the mean foraging success of the population. The results of our model are consistent with empirical studies showing that individuals rely less on social information where resources vary little in quality and where there is high within-patch competition. Our model provides a framework for understanding the evolution of social learning, a prerequisite for human cumulative culture. PMID:26354936

Interleaved Practice in Multi-Dimensional Learning Tasks: Which Dimension Should We Interleave?

ERIC Educational Resources Information Center

Rau, Martina A.; Aleven, Vincent; Rummel, Nikol

2013-01-01

Research shows that multiple representations can enhance student learning. Many curricula use multiple representations across multiple task types. The temporal sequence of representations and task types is likely to impact student learning. Research on contextual interference shows that interleaving learning tasks leads to better learning results…

Learning Strategy Training in English Teaching

ERIC Educational Resources Information Center

Arulselvi, M. Evangelin

2016-01-01

The fundamental task of schools is to endow students with strategies, which enable them to elaborate, transform, contrast and critically rebuild knowledge, that develops strategic knowledge. Learning strategy is the specific action to make the students better in learning a second language. Learning Strategy Training is based on problems the…

Do Language Proficiency Levels Correspond to Language Learning Strategy Adoption?

ERIC Educational Resources Information Center

Gharbavi, Abdullah; Mousavi, Seyyed Ahmad

2012-01-01

The primary focus of research on employment of language learning strategies has been on identification of adoption of different learning strategies. However, the relationship between language learning strategies and proficiency levels was ignored in previous research. The present study was undertaken to find out whether there are any relationship…

Associations between Chinese EFL Graduate Students' Beliefs and Language Learning Strategies

ERIC Educational Resources Information Center

Tang, Mailing; Tian, Jianrong

2015-01-01

This study, using Horwitz's Beliefs about Language Learning Inventory and Oxford's Strategy Inventory for Language Learning, investigated learners' beliefs about language learning and their choice of strategy categories among 546 graduate students in China. The correlation between learners' beliefs and their strategy categories use was examined.…

A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery.

PubMed

Liu, Yan; Stojadinovic, Strahinja; Hrycushko, Brian; Wardak, Zabi; Lau, Steven; Lu, Weiguo; Yan, Yulong; Jiang, Steve B; Zhen, Xin; Timmerman, Robert; Nedzi, Lucien; Gu, Xuejun

2017-01-01

Accurate and automatic brain metastases target delineation is a key step for efficient and effective stereotactic radiosurgery (SRS) treatment planning. In this work, we developed a deep learning convolutional neural network (CNN) algorithm for segmenting brain metastases on contrast-enhanced T1-weighted magnetic resonance imaging (MRI) datasets. We integrated the CNN-based algorithm into an automatic brain metastases segmentation workflow and validated on both Multimodal Brain Tumor Image Segmentation challenge (BRATS) data and clinical patients' data. Validation on BRATS data yielded average DICE coefficients (DCs) of 0.75±0.07 in the tumor core and 0.81±0.04 in the enhancing tumor, which outperformed most techniques in the 2015 BRATS challenge. Segmentation results of patient cases showed an average of DCs 0.67±0.03 and achieved an area under the receiver operating characteristic curve of 0.98±0.01. The developed automatic segmentation strategy surpasses current benchmark levels and offers a promising tool for SRS treatment planning for multiple brain metastases.

Research on the Improvements of the Assembly Areas, Evacuation Routes, and Shelters against Multiple Disasters

NASA Astrophysics Data System (ADS)

Jin, S.; Lee, Y. M.; Jeong, S. Y.; Hong, S. J.

2016-12-01

The considerable casualties were resulted at the tsunami shelters during the Great East Japan Tsunami on 11 March 2011. The one of the important lessons learned from the Great East Japan Tsunami and the Fukushima NPP accidents provided the nuclear power plant emergency plan should consider the natural disaster. However, most of cases, the nuclear emergency preparedness strategies have not incorporated the natural disaster management plan. In this study, we reviewed the safety of the assembly areas, evacuation routes, and shelters of some nuclear emergency planning zone using the new tsunami hazard mapping results through the characteristic inundation analysis. As the result of this study, the improvements can be achieved by considering both natural and nuclear disaster to set up the assembly areas, evacuation routes, and shelters against the multiple disasters. Also, The most important protective measures can be achieved by integrating and linking the emergency preparedness strategy both natural disasters and nuclear disaster in the future.

Combining multiple features for color texture classification

NASA Astrophysics Data System (ADS)

Cusano, Claudio; Napoletano, Paolo; Schettini, Raimondo

2016-11-01

The analysis of color and texture has a long history in image analysis and computer vision. These two properties are often considered as independent, even though they are strongly related in images of natural objects and materials. Correlation between color and texture information is especially relevant in the case of variable illumination, a condition that has a crucial impact on the effectiveness of most visual descriptors. We propose an ensemble of hand-crafted image descriptors designed to capture different aspects of color textures. We show that the use of these descriptors in a multiple classifiers framework makes it possible to achieve a very high classification accuracy in classifying texture images acquired under different lighting conditions. A powerful alternative to hand-crafted descriptors is represented by features obtained with deep learning methods. We also show how the proposed combining strategy hand-crafted and convolutional neural networks features can be used together to further improve the classification accuracy. Experimental results on a food database (raw food texture) demonstrate the effectiveness of the proposed strategy.

Stress in medical students.

PubMed

Nechita, Florina; Nechita, Dan; Pîrlog, Mihail Cristian; Rogoveanu, Ion

2014-01-01

Stress has been defined as the state of a body threatened by imbalance under the influence of agents or conditions endangering its homeostatic mechanisms but the concept have multiple meanings in correlation with the origin and biological support of its effects. Also, stressors are multiple, recording one of the highest levels during the academic studies. For the medical students, stress represents an important challenge, especially during the first year of medical school, caused by the absence of a learning strategy, the sleepless night before the exam and also an unhealthy food intake during the exams. The coping strategies are important, their background being represented by the social support, especially within the family, and emotional, the passions of the medicine students being the most important stress-combating factor. Gender represents also an important factor for the stress vulnerability, manifested through medical and psychiatric symptoms. In order to train good doctors, fair and above all healthy, it is important to consider not only the information we want to transmit, but also the context in which we educate.

Local Geometry and Evolutionary Conservation of Protein Surfaces Reveal the Multiple Recognition Patches in Protein-Protein Interactions

PubMed Central

Laine, Elodie; Carbone, Alessandra

2015-01-01

Protein-protein interactions (PPIs) are essential to all biological processes and they represent increasingly important therapeutic targets. Here, we present a new method for accurately predicting protein-protein interfaces, understanding their properties, origins and binding to multiple partners. Contrary to machine learning approaches, our method combines in a rational and very straightforward way three sequence- and structure-based descriptors of protein residues: evolutionary conservation, physico-chemical properties and local geometry. The implemented strategy yields very precise predictions for a wide range of protein-protein interfaces and discriminates them from small-molecule binding sites. Beyond its predictive power, the approach permits to dissect interaction surfaces and unravel their complexity. We show how the analysis of the predicted patches can foster new strategies for PPIs modulation and interaction surface redesign. The approach is implemented in JET2, an automated tool based on the Joint Evolutionary Trees (JET) method for sequence-based protein interface prediction. JET2 is freely available at www.lcqb.upmc.fr/JET2. PMID:26690684

Learning strategies and general cognitive ability as predictors of gender- specific academic achievement

PubMed Central

Ruffing, Stephanie; Wach, F. -Sophie; Spinath, Frank M.; Brünken, Roland; Karbach, Julia

2015-01-01

Recent research has revealed that learning behavior is associated with academic achievement at the college level, but the impact of specific learning strategies on academic success as well as gender differences therein are still not clear. Therefore, the aim of this study was to investigate gender differences in the incremental contribution of learning strategies over general cognitive ability in the prediction of academic achievement. The relationship between these variables was examined by correlation analyses. A set of t-tests was used to test for gender differences in learning strategies, whereas structural equation modeling as well as multi-group analyses were applied to investigate the incremental contribution of learning strategies for male and female students’ academic performance. The sample consisted of 461 students (mean age = 21.2 years, SD = 3.2). Correlation analyses revealed that general cognitive ability as well as the learning strategies effort, attention, and learning environment were positively correlated with academic achievement. Gender differences were found in the reported application of many learning strategies. Importantly, the prediction of achievement in structural equation modeling revealed that only effort explained incremental variance (10%) over general cognitive ability. Results of multi-group analyses showed no gender differences in this prediction model. This finding provides further knowledge regarding gender differences in learning research and the specific role of learning strategies for academic achievement. The incremental assessment of learning strategy use as well as gender-differences in their predictive value contributes to the understanding and improvement of successful academic development. PMID:26347698

Learning strategies and general cognitive ability as predictors of gender- specific academic achievement.

PubMed

Ruffing, Stephanie; Wach, F-Sophie; Spinath, Frank M; Brünken, Roland; Karbach, Julia

2015-01-01

Recent research has revealed that learning behavior is associated with academic achievement at the college level, but the impact of specific learning strategies on academic success as well as gender differences therein are still not clear. Therefore, the aim of this study was to investigate gender differences in the incremental contribution of learning strategies over general cognitive ability in the prediction of academic achievement. The relationship between these variables was examined by correlation analyses. A set of t-tests was used to test for gender differences in learning strategies, whereas structural equation modeling as well as multi-group analyses were applied to investigate the incremental contribution of learning strategies for male and female students' academic performance. The sample consisted of 461 students (mean age = 21.2 years, SD = 3.2). Correlation analyses revealed that general cognitive ability as well as the learning strategies effort, attention, and learning environment were positively correlated with academic achievement. Gender differences were found in the reported application of many learning strategies. Importantly, the prediction of achievement in structural equation modeling revealed that only effort explained incremental variance (10%) over general cognitive ability. Results of multi-group analyses showed no gender differences in this prediction model. This finding provides further knowledge regarding gender differences in learning research and the specific role of learning strategies for academic achievement. The incremental assessment of learning strategy use as well as gender-differences in their predictive value contributes to the understanding and improvement of successful academic development.

Status of teaching elementary science for English learners in science, mathematics and technology centered magnet schools

NASA Astrophysics Data System (ADS)

Han, Alyson Kim

According to the California Commission on Teacher Credentialing (2001), one in three students speaks a language other than English. Additionally, the Commission stated that a student is considered to be an English learner if the second language acquisition is English. In California more than 1.4 million English learners enter school speaking a variety of languages, and this number continues to rise. There is an imminent need to promote instructional strategies that support this group of diverse learners. Although this was not a California study, the results derived from the nationwide participants' responses provided a congruent assessment of the basic need to provide effective science teaching strategies to all English learners. The purpose of this study was to examine the status of elementary science teaching practices used with English learners in kindergarten through fifth grade in public mathematics, science, and technology-centered elementary magnet schools throughout the country. This descriptive research was designed to provide current information and to identify trends in the areas of curriculum and instruction for English learners in science themed magnet schools. This report described the status of elementary (grades K-5) school science instruction for English learners based on the responses of 116 elementary school teachers: 59 grade K-2, and 57 grade 3-5 teachers. Current research-based approaches support incorporating self-directed learning strategy, expository teaching strategy, active listening strategies, questioning strategies, wait time strategy, small group strategy, peer tutoring strategy, large group learning strategy, demonstrations strategy, formal debates strategy, review sessions strategy, mediated conversation strategy, cooperative learning strategy, and theme-based instruction into the curriculum to assist English learners in science education. Science Technology Society (STS) strategy, problem-based learning strategy, discovery learning strategy, constructivist learning strategy, learning cycle strategy, SCALE technique strategy, conceptual change strategy, inquiry-based strategy, cognitive academic language learning approach (CALLA) strategy, and learning from text strategy provide effective science teaching instruction to English learners. These science instructional strategies assist elementary science teachers by providing additional support to make science instruction more comprehensible for English learners.

Do Young Learners Exploit the Same Learning Strategies as Adults?

ERIC Educational Resources Information Center

Hrozková, Ivana

2015-01-01

Learning strategies are considered to be one of the key factors affecting the learning process, its effectiveness and study results. They are important for lifelong learning of foreign languages and as a learning skill they represent a priority in the process of European globalization and integration. Moreover, learning strategies as a foreign…

Comparing Problem-Based Learning Students to Students in a Lecture-Based Curriculum: Learning Strategies and the Relation with Self-Study Time

ERIC Educational Resources Information Center

Wijnen, Marit; Loyens, Sofie M. M.; Smeets, Guus; Kroeze, Maarten; van der Molen, Henk

2017-01-01

In educational theory, deep processing (i.e., connecting different study topics together) and self-regulation (i.e., taking control over one's own learning process) are considered effective learning strategies. These learning strategies can be influenced by the learning environment. Problem-based learning (PBL), a student-centered educational…

Learning Strategies in Web-Supported Collaborative Project

ERIC Educational Resources Information Center

ChanLin, Lih-Juan

2012-01-01

Web-based learning promotes computer-mediated interaction and student-centred learning in most higher education institutions. To fulfil their academic requirements, students develop appropriate strategies to support learning. Purposes of this study were to: (1) examine the relationship between students study strategies (assessed by Learning and…

Social learning strategies.

PubMed

Laland, Kevin N

2004-02-01

In most studies of social learning in animals, no attempt has been made to examine the nature of the strategy adopted by animals when they copy others. Researchers have expended considerable effort in exploring the psychological processes that underlie social learning and amassed extensive data banks recording purported social learning in the field, but the contexts under which animals copy others remain unexplored. Yet, theoretical models used to investigate the adaptive advantages of social learning lead to the conclusion that social learning cannot be indiscriminate and that individuals should adopt strategies that dictate the circumstances under which they copy others and from whom they learn. In this article, I discuss a number of possible strategies that are predicted by theoretical analyses, including copy when uncertain, copy the majority, and copy if better, and consider the empirical evidence in support of each, drawing from both the animal and human social learning literature. Reliance on social learning strategies may be organized hierarchically, their being employed by animals when unlearned and asocially learned strategies prove ineffective but before animals take recourse in innovation.

The design process of a multimodal module that synthesized knowledge across nursing courses.

PubMed

Wolf, Linda; Rutar, Pamela; Delgado, Cheryl; Niederriter, Joan

2017-05-01

Nursing faculty are being challenged to increase the use of technology in the classroom. Use of technology addresses multiple learning styles, increases student engagement, encourages active learning and improves students' attention. Evaluate student satisfaction to a faculty designed multimedia teaching strategy. Cross sectional design with data collected over six semesters from six cohorts of nursing students. An urban university in the Midwest United States. 154 sophomore generic and accelerated BSN students enrolled in Fundamentals of Nursing; Ninety-nine participants were female (66.9%) and 49 (31.8%) were male. Eighty-three percent were less than 20years to 30years in age. A multimedia teaching strategy developed by three faculty integrating narrated case study, questioning and animation of skills and pathophysiology was implemented during the class session on infection control. At the conclusion, questionnaires were distributed to collect evaluation data. 120 students (77.9%) stated that the animated pathophysiology helped them understand the pathophysiological processes better than lecture alone. When combined with lecture, 121 students or 78.6% reported a better understanding of the material than if presented as lecture alone. 123 (79.9%) of the students stated that watching the animated video improved their understanding of the lecture content. As stated by one student, "I liked the visualization because it helped me further understand the material." 104 (67.5%) stated that presenting course content from multiple courses into one format facilitated the importance of these courses; "I liked that different aspect[s] of nursing were brought together." Use of multimedia in the classroom engages students in the learning process by actively involving students in the learning process as well as facilitating the delivery of difficult course content. Overall, students voiced a preference for all instructional materials to be presented in an animated format. Copyright © 2017 Elsevier Ltd. All rights reserved.

Ensemble Clustering using Semidefinite Programming with Applications

PubMed Central

Singh, Vikas; Mukherjee, Lopamudra; Peng, Jiming; Xu, Jinhui

2011-01-01

In this paper, we study the ensemble clustering problem, where the input is in the form of multiple clustering solutions. The goal of ensemble clustering algorithms is to aggregate the solutions into one solution that maximizes the agreement in the input ensemble. We obtain several new results for this problem. Specifically, we show that the notion of agreement under such circumstances can be better captured using a 2D string encoding rather than a voting strategy, which is common among existing approaches. Our optimization proceeds by first constructing a non-linear objective function which is then transformed into a 0–1 Semidefinite program (SDP) using novel convexification techniques. This model can be subsequently relaxed to a polynomial time solvable SDP. In addition to the theoretical contributions, our experimental results on standard machine learning and synthetic datasets show that this approach leads to improvements not only in terms of the proposed agreement measure but also the existing agreement measures based on voting strategies. In addition, we identify several new application scenarios for this problem. These include combining multiple image segmentations and generating tissue maps from multiple-channel Diffusion Tensor brain images to identify the underlying structure of the brain. PMID:21927539

Ensemble Clustering using Semidefinite Programming with Applications.

PubMed

Singh, Vikas; Mukherjee, Lopamudra; Peng, Jiming; Xu, Jinhui

2010-05-01

In this paper, we study the ensemble clustering problem, where the input is in the form of multiple clustering solutions. The goal of ensemble clustering algorithms is to aggregate the solutions into one solution that maximizes the agreement in the input ensemble. We obtain several new results for this problem. Specifically, we show that the notion of agreement under such circumstances can be better captured using a 2D string encoding rather than a voting strategy, which is common among existing approaches. Our optimization proceeds by first constructing a non-linear objective function which is then transformed into a 0-1 Semidefinite program (SDP) using novel convexification techniques. This model can be subsequently relaxed to a polynomial time solvable SDP. In addition to the theoretical contributions, our experimental results on standard machine learning and synthetic datasets show that this approach leads to improvements not only in terms of the proposed agreement measure but also the existing agreement measures based on voting strategies. In addition, we identify several new application scenarios for this problem. These include combining multiple image segmentations and generating tissue maps from multiple-channel Diffusion Tensor brain images to identify the underlying structure of the brain.

Development and testing of an implementation strategy for a complex housing intervention: protocol for a mixed methods study.

PubMed

Watson, Dennis P; Young, Jeani; Ahonen, Emily; Xu, Huiping; Henderson, Macey; Shuman, Valery; Tolliver, Randi

2014-10-17

There is currently a lack of scientifically designed and tested implementation strategies. Such strategies are particularly important for highly complex interventions that require coordination between multiple parts to be successful. This paper presents a protocol for the development and testing of an implementation strategy for a complex intervention known as the Housing First model (HFM). Housing First is an evidence-based practice for chronically homeless individuals demonstrated to significantly improve a number of outcomes. Drawing on practices demonstrated to be useful in implementation and e-learning theory, our team is currently adapting a face-to-face implementation strategy so that it can be delivered over a distance. Research activities will be divided between Chicago and Central Indiana, two areas with significantly different barriers to HFM implementation. Ten housing providers (five from Chicago and five from Indiana) will be recruited to conduct an alpha test of each of four e-learning modules as they are developed. Providers will be requested to keep a detailed log of their experience completing the modules and participate in one of two focus groups. After refining the modules based on alpha test results, we will test the strategy among a sample of four housing organizations (two from Chicago and two from Indiana). We will collect and analyze both qualitative and quantitative data from administration and staff. Measures of interest include causal factors affecting implementation, training outcomes, and implementation outcomes. This project is an important first step in the development of an evidence-based implementation strategy to increase scalability and impact of the HFM. The project also has strong potential to increase limited scientific knowledge regarding implementation strategies in general.

Carbon farming economics: What have we learned?

PubMed

Tang, Kai; Kragt, Marit E; Hailu, Atakelty; Ma, Chunbo

2016-05-01

This study reviewed 62 economic analyses published between 1995 and 2014 on the economic impacts of policies that incentivise agricultural greenhouse (GHG) mitigation. Typically, biophysical models are used to evaluate the changes in GHG mitigation that result from landholders changing their farm and land management practices. The estimated results of biophysical models are then integrated with economic models to simulate the costs of different policy scenarios to production systems. The cost estimates vary between $3 and $130/t CO2 equivalent in 2012 US dollars, depending on the mitigation strategies, spatial locations, and policy scenarios considered. Most studies assessed the consequences of a single, rather than multiple, mitigation strategies, and few considered the co-benefits of carbon farming. These omissions could challenge the reality and robustness of the studies' results. One of the biggest challenges facing agricultural economists is to assess the full extent of the trade-offs involved in carbon farming. We need to improve our biophysical knowledge about carbon farming co-benefits, predict the economic impacts of employing multiple strategies and policy incentives, and develop the associated integrated models, to estimate the full costs and benefits of agricultural GHG mitigation to farmers and the rest of society. Copyright © 2016 Elsevier Ltd. All rights reserved.

An Examination of Strategy Implementation During Abstract Nonlinguistic Category Learning in Aphasia.

PubMed

Vallila-Rohter, Sofia; Kiran, Swathi

2015-08-01

Our purpose was to study strategy use during nonlinguistic category learning in aphasia. Twelve control participants without aphasia and 53 participants with aphasia (PWA) completed a computerized feedback-based category learning task consisting of training and testing phases. Accuracy rates of categorization in testing phases were calculated. To evaluate strategy use, strategy analyses were conducted over training and testing phases. Participant data were compared with model data that simulated complex multi-cue, single feature, and random pattern strategies. Learning success and strategy use were evaluated within the context of standardized cognitive-linguistic assessments. Categorization accuracy was higher among control participants than among PWA. The majority of control participants implemented suboptimal or optimal multi-cue and single-feature strategies by testing phases of the experiment. In contrast, a large subgroup of PWA implemented random patterns, or no strategy, during both training and testing phases of the experiment. Person-to-person variability arises not only in category learning ability but also in the strategies implemented to complete category learning tasks. PWA less frequently developed effective strategies during category learning tasks than control participants. Certain PWA may have impairments of strategy development or feedback processing not captured by language and currently probed cognitive abilities.

Learning Strategies of Physics Teacher Candidates: Relationships with Physics Achievement and Class Level

NASA Astrophysics Data System (ADS)

Selçuk, Gamze S.; Çalişkan, Serap; Erol, Mustafa

2007-04-01

Learning strategy concept was introduced in the education field from the development of cognitive psychology. Learning strategies are behaviors and thoughts that a learner engages in during learning which are intended to influence the learner's encoding process. Literature on learning strategies in physics field is very scarce. Participants of the research consist of teacher candidates (n=137) from 1st, 2nd, 3rd, 4th and 5th grade attending Department of Physics Education, Education Faculty of Buca, Dokuz Eylül University in Turkey. Data of this research was collected by ``Scale of Learning Strategies Usage in Physics'' (Cronbach's Alpha=0.93). Mean, Standard Deviation, Analysis of Variance were used to analyze the research data. This paper reports on teacher candidates' learning strategies used in physics education The paper investigates the relationships between learning strategies and physics achievement, class level. Some important outcomes of the research are presented, discussed and certain suggestions are made.

The effectiveness of a learning strategies program for university students.

PubMed

Roces Montero, Cristina; Sierra Y Arizmendiarrieta, Beatriz

2017-11-01

University lecturers often complain about their students’ lack of learning strategies, but not many universities in Spain offer specific courses in this area. Studies on their effectiveness are also rare. This study presents the results of a Learning Strategies Course implemented at the School of Teacher Training and Education, University of Oviedo, Spain. A quasi-experimental design was used with an experi-mental (n = 60) and a control group (n = 57) of students on the Educational Psychology course. A Spanish adaptation of the Motivated Strategies for Learning Questionnaire (MSLQ): the CEAMR2 was used as a pre and post-test measure. Group A (EG) received training in learning strategies, while group B (CG) received no training. Post-test measures showed significant differences in five out of the ten learning strategies assessed: elaboration, organization, repetition, self-questioning and study space, and also an improvement in one out of the six motivational scales: control of learning beliefs. The results suggest that learning strategies courses with proven effectiveness should be offered to university students.

UK Higher Education Institutions' Technology-Enhanced Learning Strategies from the Perspective of Disruptive Innovation

ERIC Educational Resources Information Center

Flavin, Michael; Quintero, Valentina

2018-01-01

The publication of institutional strategies for learning, teaching and assessment in UK higher education is practically ubiquitous. Strategies for technology-enhanced learning are also widespread. This article examines 44 publicly available UK university strategies for technology-enhanced learning, aiming to assess the extent to which…

Memory Strategy Instruction, Contextual Learning and ESP Vocabulary Recall

ERIC Educational Resources Information Center

Atay, Derin; Ozbulgan, Cengiz

2007-01-01

In the last decades there has been an increasing interest in vocabulary learning strategies given that they are found to facilitate second/foreign language vocabulary learning and recall. As many learners do not develop sufficient mastery of the strategy repertoire, explicit instruction on vocabulary learning strategies may help them to become…

The Influence of Pronunciation Learning Strategies on Mastering English Vowels

ERIC Educational Resources Information Center

Rokoszewska, Katarzyna

2012-01-01

The present paper focuses on the role of strategies in learning the pronunciation of the target language. First, an outline of various general classifications of language learning strategies is provided. Next, pronunciation learning strategies are defined and their various taxonomies are presented. This is followed by the description of the study…

Achievement Goal Orientations and Self-Reported Study Strategies as Predictors of Online Studying Activities

ERIC Educational Resources Information Center

Adesope, Olusola O.; Zhou, Mingming; Nesbit, John C.

2015-01-01

The purpose of this study was to investigate whether achievement motivations influence the adoption of learning strategies and learning strategies influence studying behavior in an online learning environment. The Goal Orientation Questionnaire was used to measure achievement motives, and the Motivated Strategies for Learning Questionnaire was…

Career Education and Learning Strategies: Project CELSIM, 1988-89. Evaluation Section Report. OREA Report.

ERIC Educational Resources Information Center

Berney, Tomi D.; Adelman, Deborah

Project CELSIM (Career Education and Learning Strategies Implementation Model) had as its primary goal the provision of supplemental bilingual special education with a particular emphasis on the acquisition of learning strategies. The learning strategies approach was designed to improve cognitive functions, infuse career awareness, and help…

Language Learning Strategies of Turkish and Arabic Students: A Cross-Cultural Study

ERIC Educational Resources Information Center

Köksal, Dinçay; Ulum, Ömer Gökhan

2016-01-01

This study investigates the language learning strategy use of Turkish and Arabic students enrolled in middle schools and having different cultural and linguistic backgrounds. Using a strategy inventory for language learning, the study examines the cross-cultural differences in strategy use of the mentioned students while learning English as a…

Conceptualisation of knowledge construction in community service-learning programmes in nursing education.

PubMed

Mthembu, Sindi Z; Mtshali, Fikile G

2013-01-01

Practices in higher education have been criticised for not developing and preparing students for the expertise required in real environments. Literature reports that educational programmes tend to favour knowledge conformation rather than knowledge construction; however, community service learning (CSL) is a powerful pedagogical strategy that encourages students to make meaningful connections between the content in the classroom and real-life experiences as manifested by the communities. Through CSL, learning is achieved by the active construction of knowledge supported by multiple perspectives within meaningful real contexts, and the social interactions amongst students are seen to play a critical role in the processes of learning and cognition. This article reflects facilitators’ perspective of the knowledge construction process as used with students doing community service learning in basic nursing programmes. The aim of this article was to conceptualise the phenomenon of knowledge construction and thereby provide educators with a shared meaning and common understanding, and to analyse the interaction strategies utilised by nurse educators in the process of knowledge construction in community service-learning programmes in basic nursing education. A qualitative research approach based on a grounded theory research design was used in this article. Two nursing education institutions were purposively selected. Structured interviews were conducted with 16 participants. The results revealed that the knowledge construction in community service-learning programmes is conceptualised as having specific determinants, including the use of authentic health-related problems, academic coaching through scaffolding, academic discourse-dialogue, interactive learning in communities of learners, active learning, continuous reflection as well as collaborative and inquiry-based learning. Upon completion of an experience, students create and test generated knowledge in different contextual health settings. It was concluded that knowledge is constructed by students as a result of their interaction with the communities in their socio-cultural context and is mediated by their prior concrete experiences. The implication of this is that students construct knowledge that can be applied in their future work places.

Self-Regulated Learning in the Museum: Understanding the Relationship of Visitor's Goals, Learning Strategies, and Appraisals

ERIC Educational Resources Information Center

Zhou, Ji; Urhahne, Detlef

2017-01-01

Self-regulated learning (SRL) in the museum was explored by 2 investigations. The first one investigated 233 visitors on their goals and intended learning strategies by questionnaire before they visited the science museum. Results indicated visitors' learning goals can predict their intended deep-learning strategy. Moreover, visitors can be…

How are learning strategies reflected in the eyes? Combining results from self-reports and eye-tracking.

PubMed

Catrysse, Leen; Gijbels, David; Donche, Vincent; De Maeyer, Sven; Lesterhuis, Marije; Van den Bossche, Piet

2018-03-01

Up until now, empirical studies in the Student Approaches to Learning field have mainly been focused on the use of self-report instruments, such as interviews and questionnaires, to uncover differences in students' general preferences towards learning strategies, but have focused less on the use of task-specific and online measures. This study aimed at extending current research on students' learning strategies by combining general and task-specific measurements of students' learning strategies using both offline and online measures. We want to clarify how students process learning contents and to what extent this is related to their self-report of learning strategies. Twenty students with different generic learning profiles (according to self-report questionnaires) read an expository text, while their eye movements were registered to answer questions on the content afterwards. Eye-tracking data were analysed with generalized linear mixed-effects models. The results indicate that students with an all-high profile, combining both deep and surface learning strategies, spend more time on rereading the text than students with an all-low profile, scoring low on both learning strategies. This study showed that we can use eye-tracking to distinguish very strategic students, characterized using cognitive processing and regulation strategies, from low strategic students, characterized by a lack of cognitive and regulation strategies. These students processed the expository text according to how they self-reported. © 2017 The British Psychological Society.

Prenatal stress changes learning strategies in adulthood.

PubMed

Schwabe, Lars; Bohbot, Veronique D; Wolf, Oliver T

2012-11-01

It is well known that stressful experiences may shape hippocampus-dependent learning and memory processes. However, although most studies focused on the impact of stress at the time of learning or memory testing, very little is known about how stress during critical periods of brain development affects learning and memory later in life. In this study, we asked whether prenatal stress exposure may influence the engagement of hippocampus-dependent spatial learning strategies and caudate nucleus-dependent response learning strategies in later life. To this end, we tested healthy participants whose mothers had experienced major negative life events during their pregnancy in a virtual navigation task that can be solved by spatial and response strategies. We found that young adults with prenatal stress used rigid response learning strategies more often than flexible spatial learning strategies compared with participants whose mothers did not experience major negative life events during pregnancy. Individual differences in acute or chronic stress do not account for these findings. Our data suggest that the engagement of hippocampal and nonhippocampal learning strategies may be influenced by stress very early in life. Copyright © 2012 Wiley Periodicals, Inc.

Novice medical students: individual patterns in the use of learning strategies and how they change during the first academic year.

PubMed

Fabry, Götz; Giesler, Marianne

2012-01-01

Adequate use of different learning strategies is one of the most important prerequisites of academic success. The actual use of learning strategies is the result of an interaction between individual and situational variables. Against this background we conducted a longitudinal study with first year medical students to investigate whether individuals show different patterns in their use of learning strategies and whether these patterns change during the first academic year. Medical students (N=175, 58% female) were surveyed three times in their first academic year regarding their use of learning strategies. A hierarchical cluster analysis (Ward) was conducted in order to identify groups of students with different patterns of learning strategies. We identified four different patterns in approaches to learning among novice medical students ("easy-going", "flexible", "problematic" and "hardworking" learners). Compared to their peers, the problematic learners had the worst final school grades. In addition changes in the use of learning strategies were identified, most of them occurred during the first term. Students start their academic studies with different patterns of learning strategies; the characteristics of these patterns change during the first academic year. Further research is necessary to better understand how individual and situational variables determine students' learning.

Novice medical students: Individual patterns in the use of learning strategies and how they change during the first academic year

PubMed Central

Fabry, Götz; Giesler, Marianne

2012-01-01

Background: Adequate use of different learning strategies is one of the most important prerequisites of academic success. The actual use of learning strategies is the result of an interaction between individual and situational variables. Against this background we conducted a longitudinal study with first year medical students to investigate whether individuals show different patterns in their use of learning strategies and whether these patterns change during the first academic year. Methods: Medical students (N=175, 58% female) were surveyed three times in their first academic year regarding their use of learning strategies. A hierarchical cluster analysis (Ward) was conducted in order to identify groups of students with different patterns of learning strategies. Results: We identified four different patterns in approaches to learning among novice medical students (“easy-going”, “flexible”, “problematic” and “hardworking” learners). Compared to their peers, the problematic learners had the worst final school grades. In addition changes in the use of learning strategies were identified, most of them occurred during the first term. Conclusion: Students start their academic studies with different patterns of learning strategies; the characteristics of these patterns change during the first academic year. Further research is necessary to better understand how individual and situational variables determine students’ learning. PMID:22916082

Spatial Learning and Wayfinding in an Immersive Environment: The Digital Fulldome.

PubMed

Hedge, Craig; Weaver, Ruth; Schnall, Simone

2017-05-01

Previous work has examined whether immersive technologies can benefit learning in virtual environments, but the potential benefits of technology in this context are confounded by individual differences such as spatial ability. We assessed spatial knowledge acquisition in male and female participants using a technology not previously examined empirically: the digital fulldome. Our primary aim was to examine whether performance on a test of survey knowledge was better in a fulldome (N = 28, 12 males) relative to a large, flat screen display (N = 27, 13 males). Regression analysis showed that, compared to a flat screen display, males showed higher levels of performance on a test of survey knowledge after learning in the fulldome, but no benefit occurred for females. Furthermore, performance correlated with spatial visualization ability in male participants, but not in female participants. Thus, the digital fulldome is a potentially useful learning aid, capable of accommodating multiple users, but individual differences and use of strategy need to be considered.

Active Learning and Student-centered Pedagogy Improve Student Attitudes and Performance in Introductory Biology

PubMed Central

Patel, Maya; Johnson, Erika; Weiss, Martha

2009-01-01

We describe the development and implementation of an instructional design that focused on bringing multiple forms of active learning and student-centered pedagogies to a one-semester, undergraduate introductory biology course for both majors and nonmajors. Our course redesign consisted of three major elements: 1) reordering the presentation of the course content in an attempt to teach specific content within the context of broad conceptual themes, 2) incorporating active and problem-based learning into every lecture, and 3) adopting strategies to create a more student-centered learning environment. Assessment of our instructional design consisted of a student survey and comparison of final exam performance across 3 years—1 year before our course redesign was implemented (2006) and during two successive years of implementation (2007 and 2008). The course restructuring led to significant improvement of self-reported student engagement and satisfaction and increased academic performance. We discuss the successes and ongoing challenges of our course restructuring and consider issues relevant to institutional change. PMID:19723815

Language experience differentiates prefrontal and subcortical activation of the cognitive control network in novel word learning.

PubMed

Bradley, Kailyn A L; King, Kelly E; Hernandez, Arturo E

2013-02-15

The purpose of this study was to examine the cognitive control mechanisms in adult English speaking monolinguals compared to early sequential Spanish-English bilinguals during the initial stages of novel word learning. Functional magnetic resonance imaging during a lexico-semantic task after only 2h of exposure to novel German vocabulary flashcards showed that monolinguals activated a broader set of cortical control regions associated with higher-level cognitive processes, including the supplementary motor area (SMA), anterior cingulate (ACC), and dorsolateral prefrontal cortex (DLPFC), as well as the caudate, implicated in cognitive control of language. However, bilinguals recruited a more localized subcortical network that included the putamen, associated more with motor control of language. These results suggest that experience managing multiple languages may differentiate the learning strategy and subsequent neural mechanisms of cognitive control used by bilinguals compared to monolinguals in the early stages of novel word learning. Copyright © 2012 Elsevier Inc. All rights reserved.

Positive Attitude Toward Math Supports Early Academic Success: Behavioral Evidence and Neurocognitive Mechanisms.

PubMed

Chen, Lang; Bae, Se Ri; Battista, Christian; Qin, Shaozheng; Chen, Tianwen; Evans, Tanya M; Menon, Vinod

2018-03-01

Positive attitude is thought to impact academic achievement and learning in children, but little is known about its underlying neurocognitive mechanisms. Using a large behavioral sample of 240 children, we found that positive attitude toward math uniquely predicted math achievement, even after we accounted for multiple other cognitive-affective factors. We then investigated the neural mechanisms underlying the link between positive attitude and academic achievement in two independent cohorts of children (discovery cohort: n = 47; replication cohort: n = 28) and tested competing hypotheses regarding the differential roles of affective-motivational and learning-memory systems. In both cohorts, we found that positive attitude was associated with increased engagement of the hippocampal learning-memory system. Structural equation modeling further revealed that, in both cohorts, increased hippocampal activity and more frequent use of efficient memory-based strategies mediated the relation between positive attitude and higher math achievement. Our study is the first to elucidate the neurocognitive mechanisms by which positive attitude influences learning and academic achievement.

Conceptions, Self-Regulation, and Strategies of Learning Science among Chinese High School Students

ERIC Educational Resources Information Center

Li, Mang; Zheng, Chunping; Liang, Jyh-Chong; Zhang, Yun; Tsai, Chin-Chung

2018-01-01

This study explored the structural relationships among secondary school students' conceptions, self-regulation, and strategies of learning science in mainland China. Three questionnaires, namely conceptions of learning science (COLS), self-regulation of learning science (SROLS), and strategies of learning science (SLS) were developed for…

ASPECT: A Survey to Assess Student Perspective of Engagement in an Active-Learning Classroom

PubMed Central

Wiggins, Benjamin L.; Eddy, Sarah L.; Wener-Fligner, Leah; Freisem, Karen; Grunspan, Daniel Z.; Theobald, Elli J.; Timbrook, Jerry; Crowe, Alison J.

2017-01-01

The primary measure used to determine relative effectiveness of in-class activities has been student performance on pre/posttests. However, in today’s active-learning classrooms, learning is a social activity, requiring students to interact and learn from their peers. To develop effective active-learning exercises that engage students, it is important to gain a more holistic view of the student experience in an active-learning classroom. We have taken a mixed-methods approach to iteratively develop and validate a 16-item survey to measure multiple facets of the student experience during active-learning exercises. The instrument, which we call Assessing Student Perspective of Engagement in Class Tool (ASPECT), was administered to a large introductory biology class, and student responses were subjected to exploratory factor analysis. The 16 items loaded onto three factors that cumulatively explained 52% of the variation in student response: 1) value of activity, 2) personal effort, and 3) instructor contribution. ASPECT provides a rapid, easily administered means to measure student perception of engagement in an active-learning classroom. Gaining a better understanding of students’ level of engagement will help inform instructor best practices and provide an additional measure for comprehensively assessing the impact of different active-learning strategies. PMID:28495936

Bag-of-features based medical image retrieval via multiple assignment and visual words weighting.

PubMed

Wang, Jingyan; Li, Yongping; Zhang, Ying; Wang, Chao; Xie, Honglan; Chen, Guoling; Gao, Xin

2011-11-01

Bag-of-features based approaches have become prominent for image retrieval and image classification tasks in the past decade. Such methods represent an image as a collection of local features, such as image patches and key points with scale invariant feature transform (SIFT) descriptors. To improve the bag-of-features methods, we first model the assignments of local descriptors as contribution functions, and then propose a novel multiple assignment strategy. Assuming the local features can be reconstructed by their neighboring visual words in a vocabulary, reconstruction weights can be solved by quadratic programming. The weights are then used to build contribution functions, resulting in a novel assignment method, called quadratic programming (QP) assignment. We further propose a novel visual word weighting method. The discriminative power of each visual word is analyzed by the sub-similarity function in the bin that corresponds to the visual word. Each sub-similarity function is then treated as a weak classifier. A strong classifier is learned by boosting methods that combine those weak classifiers. The weighting factors of the visual words are learned accordingly. We evaluate the proposed methods on medical image retrieval tasks. The methods are tested on three well-known data sets, i.e., the ImageCLEFmed data set, the 304 CT Set, and the basal-cell carcinoma image set. Experimental results demonstrate that the proposed QP assignment outperforms the traditional nearest neighbor assignment, the multiple assignment, and the soft assignment, whereas the proposed boosting based weighting strategy outperforms the state-of-the-art weighting methods, such as the term frequency weights and the term frequency-inverse document frequency weights.

Enhancing membrane protein subcellular localization prediction by parallel fusion of multi-view features.

PubMed

Yu, Dongjun; Wu, Xiaowei; Shen, Hongbin; Yang, Jian; Tang, Zhenmin; Qi, Yong; Yang, Jingyu

2012-12-01

Membrane proteins are encoded by ~ 30% in the genome and function importantly in the living organisms. Previous studies have revealed that membrane proteins' structures and functions show obvious cell organelle-specific properties. Hence, it is highly desired to predict membrane protein's subcellular location from the primary sequence considering the extreme difficulties of membrane protein wet-lab studies. Although many models have been developed for predicting protein subcellular locations, only a few are specific to membrane proteins. Existing prediction approaches were constructed based on statistical machine learning algorithms with serial combination of multi-view features, i.e., different feature vectors are simply serially combined to form a super feature vector. However, such simple combination of features will simultaneously increase the information redundancy that could, in turn, deteriorate the final prediction accuracy. That's why it was often found that prediction success rates in the serial super space were even lower than those in a single-view space. The purpose of this paper is investigation of a proper method for fusing multiple multi-view protein sequential features for subcellular location predictions. Instead of serial strategy, we propose a novel parallel framework for fusing multiple membrane protein multi-view attributes that will represent protein samples in complex spaces. We also proposed generalized principle component analysis (GPCA) for feature reduction purpose in the complex geometry. All the experimental results through different machine learning algorithms on benchmark membrane protein subcellular localization datasets demonstrate that the newly proposed parallel strategy outperforms the traditional serial approach. We also demonstrate the efficacy of the parallel strategy on a soluble protein subcellular localization dataset indicating the parallel technique is flexible to suite for other computational biology problems. The software and datasets are available at: http://www.csbio.sjtu.edu.cn/bioinf/mpsp.

Planning Mars Memory: Learning from the Mer Mission

NASA Technical Reports Server (NTRS)

Linde, Charlotte

2004-01-01

Knowledge management for space exploration is part of a multi-generational effort at recognizing, preserving and transmitting learning. Each mission should be built on the learning, of both successes and failures, derived from previous missions. Knowledge management begins with learning, and the recognition that this learning has produced knowledge. The Mars Exploration Rover mission provides us with an opportunity to track how learning occurs, how it is recorded, and whether the representations of this learning will be optimally useful for subsequent missions. This paper focuses on the MER science and engineering teams during Rover operations. A NASA team conducted an observational study of the ongoing work and learning of the these teams. Learning occurred in a wide variety of areas: how to run two teams on Mars time for three months; how to use the instruments within the constraints of the martian environment, the deep space network and the mission requirements; how to plan science strategy; how best to use the available software tools. This learning is preserved in many ways. Primarily it resides in peoples memories, to be carried on to the next mission. It is also encoded in stones, in programming sequences, in published reports, and in lessons learned activities, Studying learning and knowledge development as it happens allows us to suggest proactive ways of capturing and using it across multiple missions and generations.

Collecting, Integrating, and Disseminating Patient-Reported Outcomes for Research in a Learning Healthcare System

PubMed Central

Harle, Christopher A.; Lipori, Gloria; Hurley, Robert W.

2016-01-01

Introduction: Advances in health policy, research, and information technology have converged to increase the electronic collection and use of patient-reported outcomes (PROs). Therefore, it is important to share lessons learned in implementing PROs in research information systems. Case Description: The purpose of this case study is to describe a novel information system for electronic PROs and lessons learned in implementing that system to support research in an academic health center. The system incorporates freely available and commercial software and involves clinical and research workflows that support the collection, transformation, and research use of PRO data. The software and processes that comprise the system serve three main functions, (i) collecting electronic PROs in clinical care, (ii) integrating PRO data with non-patient generated clinical data, and (iii) disseminating data to researchers through the institution’s research informatics infrastructure, including the i2b2 (Informatics for Integrating Biology and the Bedside) system. Strategies: Our successful design and implementation was driven by three overarching strategies. First, we selected and implemented multiple interfaced technologies to support PRO collection, management, and research use. Second, we aimed to use standardized approaches to measuring PROs, sending PROs between systems, and disseminating PROs. Finally, we focused on using technologies and processes that aligned with existing clinical research information management strategies within our organization. Conclusion: These experiences and lessons may help future implementers and researchers enhance the scale and sustainable use of systems for research use of PROs. PMID:27563683

Shifting senses in lexical semantic development

PubMed Central

Rabagliati, Hugh; Marcus, Gary F.; Pylkkänen, Liina

2010-01-01

Most words are associated with multiple senses. A DVD can be round (when describing a disc), and a DVD can be an hour long (when describing a movie), and in each case DVD means something different. The possible senses of a word are often predictable, and also constrained, as words cannot take just any meaning: for example, although a movie can be an hour long, it cannot sensibly be described as round (unlike a DVD). Learning the scope and limits of word meaning is vital for the comprehension of natural language, but poses a potentially difficult learnability problem for children. By testing what senses children are willing to assign to a variety of words, we demonstrate that, in comprehension, the problem is solved using a productive learning strategy. Children are perfectly capable of assigning different senses to a word; indeed they are essentially adult-like at assigning licensed meanings. But difficulties arise in determining which senses are assignable: children systematically overestimate the possible senses of a word, allowing meanings that adults rule unlicensed (e.g., taking round movie to refer to a disc). By contrast, this strategy does not extend to production, in which children use licensed, but not unlicensed, senses. Children’s productive comprehension strategy suggests an early emerging facility for using context in sense resolution (a difficult task for natural language processing algorithms), but leaves an intriguing question as to the mechanisms children use to learn a restricted, adult-like set of senses. PMID:20638655

Multiple intelligences and alternative teaching strategies: The effects on student academic achievement, conceptual understanding, and attitude

NASA Astrophysics Data System (ADS)

Baragona, Michelle

The purpose of this study was to investigate the interactions between multiple intelligence strengths and alternative teaching methods on student academic achievement, conceptual understanding and attitudes. The design was a quasi-experimental study, in which students enrolled in Principles of Anatomy and Physiology, a developmental biology course, received lecture only, problem-based learning with lecture, or peer teaching with lecture. These students completed the Multiple Intelligence Inventory to determine their intelligence strengths, the Students' Motivation Toward Science Learning questionnaire to determine student attitudes towards learning in science, multiple choice tests to determine academic achievement, and open-ended questions to determine conceptual understanding. Effects of intelligence types and teaching methods on academic achievement and conceptual understanding were determined statistically by repeated measures ANOVAs. No significance occurred in academic achievement scores due to lab group or due to teaching method used; however, significant interactions between group and teaching method did occur in students with strengths in logical-mathematical, interpersonal, kinesthetic, and intrapersonal intelligences. Post-hoc analysis using Tukey HSD tests revealed students with strengths in logical-mathematical intelligence and enrolled in Group Three scored significantly higher when taught by problem-based learning (PBL) as compared to peer teaching (PT). No significance occurred in conceptual understanding scores due to lab group or due to teaching method used; however, significant interactions between group and teaching method did occur in students with strengths in musical, kinesthetic, intrapersonal, and spatial intelligences. Post-hoc analysis using Tukey HSD tests revealed students with strengths in logical-mathematical intelligence and enrolled in Group Three scored significantly higher when taught by lecture as compared to PBL. Students with strengths in intrapersonal intelligence and enrolled in Group One scored significantly lower when taught by lecture as compared to PBL. Results of a repeated measures ANOVA for student attitudes showed significant increases in positive student attitudes toward science learning for all three types of teaching method between pretest and posttest; but there were no significant differences in posttest attitude scores by type of teaching method.

The Relationship of Vocabulary Learning Strategies and Self-Efficacy with Medical English and Terminology.

PubMed

Wang, Ya-Huei; Kao, Pan-Fu; Liao, Hung-Chang

2016-02-01

This study examined the relationship between the use of vocabulary learning strategies and self-efficacy in medical English learning, and whether after an initial six-week course to master the basics of medical terminology, those with higher use of vocabulary learning strategies and those with a higher degree of self-efficacy would have significant score improvements in the medical English proficiency. Second-year medical students (N = 115; M age = 19.6, SD = 0.5; 82 men, 33 women) participated in the study. A one-group pretest-posttest design was used. Measures included medical English tests, the English Vocabulary Learning Strategies Survey (EVLSS), and the English Learning Self-Efficacy Scale (ELSES). Results showed that there was no significant correlation between vocabulary learning strategies and English learning self-efficacy. In addition, as a whole, vocabulary learning strategies and self-efficacy significantly predicted students' score improvements in medical English proficiency. © The Author(s) 2016.

Mental Time Travel, Memory and the Social Learning Strategies Tournament

ERIC Educational Resources Information Center

Fogarty, L.; Rendell, L.; Laland, K. N.

2012-01-01

The social learning strategies tournament was an open computer-based tournament investigating the best way to learn in a changing environment. Here we present an analysis of the impact of memory on the ability of strategies entered into the social learning strategies tournament (Rendell, Boyd, et al., 2010) to modify their own behavior to suit a…

The Relationship between Learning Style Preferences and Memory Strategy use in Adults.

PubMed

Dirette, Diane Powers; Anderson, Michele A

2016-07-01

Deficits in working memory are pervasive, resistant to remediation and significantly impact a persons ability to perform activities of daily living. Internal strategies are effective for improving working memory. Learning style preferences may influence the use of various internal working memory strategies. This study compares the use of internal working memory strategies among four different learning style preferences; converger, diverger, assimilator and accommodator. A non-experimental group design was used to compare the use of internal working memory strategies and learning style preferences among 110 adults. There were some significant differences in the types of strategies used according to learning style preferences. Knowing the learning style preference of clients may help occupational therapists better tailor cognitive rehabilitation treatments to meet the client's needs.

Conceptual Frameworks for the Workplace Change Adoption Process: Elements Integration from Decision Making and Learning Cycle Process.

PubMed

Radin Umar, Radin Zaid; Sommerich, Carolyn M; Lavender, Steve A; Sanders, Elizabeth; Evans, Kevin D

2018-05-14

Sound workplace ergonomics and safety-related interventions may be resisted by employees, and this may be detrimental to multiple stakeholders. Understanding fundamental aspects of decision making, behavioral change, and learning cycles may provide insights into pathways influencing employees' acceptance of interventions. This manuscript reviews published literature on thinking processes and other topics relevant to decision making and incorporates the findings into two new conceptual frameworks of the workplace change adoption process. Such frameworks are useful for thinking about adoption in different ways and testing changes to traditional intervention implementation processes. Moving forward, it is recommended that future research focuses on systematic exploration of implementation process activities that integrate principles from the research literature on sensemaking, decision making, and learning processes. Such exploration may provide the groundwork for development of specific implementation strategies that are theoretically grounded and provide a revised understanding of how successful intervention adoption processes work.

The role of intrinsic motivations in attention allocation and shifting

PubMed Central

Di Nocera, Dario; Finzi, Alberto; Rossi, Silvia; Staffa, Mariacarla

2014-01-01

The concepts of attention and intrinsic motivations are of great interest within adaptive robotic systems, and can be exploited in order to guide, activate, and coordinate multiple concurrent behaviors. Attention allocation strategies represent key capabilities of human beings, which are strictly connected with action selection and execution mechanisms, while intrinsic motivations directly affect the allocation of attentional resources. In this paper we propose a model of Reinforcement Learning (RL), where both these capabilities are involved. RL is deployed to learn how to allocate attentional resources in a behavior-based robotic system, while action selection is obtained as a side effect of the resulting motivated attentional behaviors. Moreover, the influence of intrinsic motivations in attention orientation is obtained by introducing rewards associated with curiosity drives. In this way, the learning process is affected not only by goal-specific rewards, but also by intrinsic motivations. PMID:24744746