Learning Objects and the Development of Students' Key Competencies: A New Zealand School Experience
ERIC Educational Resources Information Center
Falloon, Garry
2010-01-01
This paper outlines a study investigating the impact of the use of learning objects on the development of two key competencies from the revised New Zealand Curriculum Framework (Ministry of Education, 2007). It specifically focuses on the key competencies of "thinking" and "relating to others", and explores how teachers in an…
Qiao, Hong; Li, Yinlin; Li, Fengfu; Xi, Xuanyang; Wu, Wei
2016-10-01
Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this paper, based on the recent biological evidence, we propose a framework to mimic the active and dynamic learning and recognition process of the primate visual cortex. From principle point of view, the main contributions are that the framework can achieve unsupervised learning of episodic features (including key components and their spatial relations) and semantic features (semantic descriptions of the key components), which support higher level cognition of an object. From performance point of view, the advantages of the framework are as follows: 1) learning episodic features without supervision-for a class of objects without a prior knowledge, the key components, their spatial relations and cover regions can be learned automatically through a deep neural network (DNN); 2) learning semantic features based on episodic features-within the cover regions of the key components, the semantic geometrical values of these components can be computed based on contour detection; 3) forming the general knowledge of a class of objects-the general knowledge of a class of objects can be formed, mainly including the key components, their spatial relations and average semantic values, which is a concise description of the class; and 4) achieving higher level cognition and dynamic updating-for a test image, the model can achieve classification and subclass semantic descriptions. And the test samples with high confidence are selected to dynamically update the whole model. Experiments are conducted on face images, and a good performance is achieved in each layer of the DNN and the semantic description learning process. Furthermore, the model can be generalized to recognition tasks of other objects with learning ability.
An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
ERIC Educational Resources Information Center
Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo
2013-01-01
In the last years, the development of different Repositories of Learning Objects has been increased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are described with metadata usually in the standard…
Carpentry. Student Learning Guide.
ERIC Educational Resources Information Center
Palm Beach County Board of Public Instruction, West Palm Beach, FL.
This student learning guide contains 17 modules for completing a course in carpentry. It is designed especially for use in secondary schools in Palm Beach County, Florida. Each module covers one task, and consists of a purpose, performance objective, enabling objectives, learning activities keyed to resources, information sheets, student…
Masonry. Student Learning Guide.
ERIC Educational Resources Information Center
Palm Beach County Board of Public Instruction, West Palm Beach, FL.
This student learning guide contains nine modules for completing a course in masonry. It is designed especially for use in secondary schools in Palm Beach County, Florida. Each module covers one task, and consists of a purpose, performance objective, enabling objectives, learning activities keyed to resources, information sheets, student…
Welding. Student Learning Guide.
ERIC Educational Resources Information Center
Palm Beach County Board of Public Instruction, West Palm Beach, FL.
This student learning guide contains 30 modules for completing a course in welding. It is designed especially for use in secondary schools in Palm Beach County, Florida. Each module covers one task, and consists of a purpose, performance objective, enabling objectives, learning activities keyed to resources, information sheets, student self-check…
Commercial Foods and Culinary Arts. Student Learning Guide.
ERIC Educational Resources Information Center
Palm Beach County Board of Public Instruction, West Palm Beach, FL.
This student learning guide contains one module for completing a course in commercial foods and culinary arts. It is designed especially for use in secondary schools in Palm Beach County, Florida. The module covers one task, and consists of a purpose, performance objective, enabling objectives, learning activities keyed to resources, information…
Machine Shop. Student Learning Guide.
ERIC Educational Resources Information Center
Palm Beach County Board of Public Instruction, West Palm Beach, FL.
This student learning guide contains eight modules for completing a course in machine shop. It is designed especially for use in Palm Beach County, Florida. Each module covers one task, and consists of a purpose, performance objective, enabling objectives, learning activities and resources, information sheets, student self-check with answer key,…
Characterizing Student Perceptions of and Buy-In toward Common Formative Assessment Techniques
Brazeal, Kathleen R.; Brown, Tanya L.; Couch, Brian A.
2016-01-01
Formative assessments (FAs) can occur as preclass assignments, in-class activities, or postclass homework. FAs aim to promote student learning by accomplishing key objectives, including clarifying learning expectations, revealing student thinking to the instructor, providing feedback to the student that promotes learning, facilitating peer interactions, and activating student ownership of learning. While FAs have gained prominence within the education community, we have limited knowledge regarding student perceptions of these activities. We used a mixed-methods approach to determine whether students recognize and value the role of FAs in their learning and how students perceive course activities to align with five key FA objectives. To address these questions, we administered a midsemester survey in seven introductory biology course sections that were using multiple FA techniques. Overall, responses to both open-ended and closed-ended questions revealed that the majority of students held positive perceptions of FAs and perceived FAs to facilitate their learning in a variety of ways. Students consistently considered FA activities to have accomplished particular objectives, but there was greater variation among FAs in how students perceived the achievement of other objectives. We further discuss potential sources of student resistance and implications of these results for instructor practice. PMID:27909023
From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning
ERIC Educational Resources Information Center
Yu, Shengquan; Yang, Xianmin; Cheng, Gang
2013-01-01
The key to implementing ubiquitous learning is the construction and organization of learning resources. While current research on ubiquitous learning has primarily focused on concept models, supportive environments and small-scale empirical research, exploring ways to organize learning resources to make them available anywhere on-demand is also…
Evaluating the Use of Learning Objects for Improving Calculus Readiness
ERIC Educational Resources Information Center
Kay, Robin; Kletskin, Ilona
2010-01-01
Pre-calculus concepts such as working with functions and solving equations are essential for students to explore limits, rates of change, and integrals. Yet many students have a weak understanding of these key concepts which impedes performance in their first year university Calculus course. A series of online learning objects was developed to…
Competence-Based Knowledge Structures for Personalised Learning
ERIC Educational Resources Information Center
Heller, Jurgen; Steiner, Christina; Hockemeyer, Cord; Albert, Dietrich
2006-01-01
Competence-based extensions of Knowledge Space Theory are suggested as a formal framework for implementing key features of personalised learning in technology-enhanced learning. The approach links learning objects and assessment problems to the relevant skills that are taught or required. Various ways to derive these skills from domain ontologies…
ERIC Educational Resources Information Center
Naumann, Fiona; Moore, Keri; Mildon, Sally; Jones, Philip
2014-01-01
This paper aims to develop a valid method to assess the key competencies of the exercise physiology profession acquired through work-integrated learning (WIL). In order to develop a competency-based assessment, the key professional tasks needed to be identified and the test designed so students' competency in different tasks and settings could be…
ERIC Educational Resources Information Center
Hsiao, Kuo-Lun; Huang, Tien-Chi; Chen, Mu-Yen; Chiang, Nien-Ting
2018-01-01
Although ubiquitous learning is a novel and creative teaching approach, two key issues inhibit its success overall: a lack of appropriate learning strategies regarding learning objectives, and ineffective learning tools for receiving knowledge regarding the chosen subjects. To address these issues, we develops and designs a game-based educational…
Barriers to Implementing E-Learning: A Kuwaiti Case Study
ERIC Educational Resources Information Center
Ali, Ghadah Essa; Magalhaes, Rodrigo
2008-01-01
The paper reports on a research project that encompasses two key objectives: (1) finding out about the barriers affecting or preventing e-learning from being adopted by companies as an integral part of their workforce's training and learning processes and (2) establishing a comparison between the barriers and the e-learning implementation models…
ERIC Educational Resources Information Center
Duenk, Lester G.; Tuel, Charles
This learning activity package (LAP) on the insurance industry and the methods used to give protection to the insured is designed for student self-study. Following a list of learning objectives, the LAP contains a pretest (answer key provided at the back). Six learning activities follow. The learning activities cover the following material: terms…
Cluster: Drafting. Course: Introduction to Technical Drafting.
ERIC Educational Resources Information Center
Sanford - Lee County Schools, NC.
The set of 10 units is designed for use with an instructor as an introduction to technical drafting, and is also keyed to other texts. Each unit contains several task packages specifying prerequisites, rationale for learning, objectives, learning activities to be supervised by the instructor, and learning practice. The units cover: drafting…
Perspective Taking Promotes Action Understanding and Learning
ERIC Educational Resources Information Center
Lozano, Sandra C.; Martin Hard, Bridgette; Tversky, Barbara
2006-01-01
People often learn actions by watching others. The authors propose and test the hypothesis that perspective taking promotes encoding a hierarchical representation of an actor's goals and subgoals-a key process for observational learning. Observers segmented videos of an object assembly task into coarse and fine action units. They described what…
Cluster: Drafting. Course: Architectural Drafting. Research Project.
ERIC Educational Resources Information Center
Sanford - Lee County Schools, NC.
The sequence of 10 units is designed for use with an instructor in architectural drafting, and is also keyed to other texts. Each unit contains several task packages specifying prerequisites, rationale for learning, objectives, learning activities to be supervised by the instructor, and learning practice. The units cover: architectural lettering…
Characterizing Student Perceptions of and Buy-In toward Common Formative Assessment Techniques
ERIC Educational Resources Information Center
Brazeal, Kathleen R.; Brown, Tanya L.; Couch, Brian A.
2016-01-01
Formative assessments (FAs) can occur as preclass assignments, in-class activities, or postclass homework. FAs aim to promote student learning by accomplishing key objectives, including clarifying learning expectations, revealing student thinking to the instructor, providing feedback to the student that promotes learning, facilitating peer…
Personalizing Learning through the Use of Technology
ERIC Educational Resources Information Center
Robinson, Carol; Sebba, Judy
2010-01-01
In March 2005, the Department for Education and Skills published its e-strategy, Harnessing Technology (DfES, 2005, Harnessing technology: Transforming Learning and Children's Services). Within this, two of its key objectives were: firstly to transform teaching and learning, and help to improve outcomes for children and young people, through…
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…
E-Learning as a Knowledge Management Approach for Intellectual Capital Utilization
ERIC Educational Resources Information Center
Shehabat, Issa; Mahdi, Saad A.; Khoualdi, Kamel
2008-01-01
This paper addresses human resources utilization at the university environment. We address the design issues of e-learning courses that can capture the teacher knowledge. The underlying objective is that e-learning is a key knowledge and major resources for many universities. Therefore, the design of e-learning should be an important part of the…
Integrating Key Competences in School Physical Education Programmes
ERIC Educational Resources Information Center
Lleixà, Teresa; González-Arévalo, Carles; Braz-Vieira, Marcelo
2016-01-01
In 2006, the European Union published its recommendations on competences for lifelong learning. Since then, key competences have been integrated into the official curriculum in Spain. The objectives of the present study are: a) to describe the strategies used most frequently by physical education teachers to incorporate key competences in their…
Walpole, Sarah C; Mortimer, Frances; Inman, Alice; Braithwaite, Isobel; Thompson, Trevor
2015-12-24
This study aimed to engage wide-ranging stakeholders and develop consensus learning objectives for undergraduate and postgraduate medical education. A UK-wide consultation garnered opinions of healthcare students, healthcare educators and other key stakeholders about environmental sustainability in medical education. The policy Delphi approach informed this study. Draft learning objectives were revised iteratively during three rounds of consultation: online questionnaire or telephone interview, face-to-face seminar and email consultation. Twelve draft learning objectives were developed based on review of relevant literature. In round one, 64 participants' median ratings of the learning objectives were 3.5 for relevance and 3.0 for feasibility on a Likert scale of one to four. Revisions were proposed, e.g. to highlight relevance to public health and professionalism. Thirty three participants attended round two. Conflicting opinions were explored. Added content areas included health benefits of sustainable behaviours. To enhance usability, restructuring provided three overarching learning objectives, each with subsidiary points. All participants from rounds one and two were contacted in round three, and no further edits were required. This is the first attempt to define consensus learning objectives for medical students about environmental sustainability. Allowing a wide range of stakeholders to comment on multiple iterations of the document stimulated their engagement with the issues raised and ownership of the resulting learning objectives.
Objectives over Time: A Look at Four Decades of Objectives in the Educational Research Literature
ERIC Educational Resources Information Center
Marken, James; Morrison, Gary
2013-01-01
While the concept of objectives is widely used in many applied fields of instruction, the systematic derivation and application of objectives for learning and instruction is a key feature of systematic instructional design. However, the treatment of objectives and the terminology surrounding them is sometimes nebulously employed. This article…
Cluster: Drafting. Course: Basic Technical Drafting. Research Project.
ERIC Educational Resources Information Center
Sanford - Lee County Schools, NC.
The set of six units is designed for use with an instructor in basic technical drafting and is also keyed to other texts. Each unit contains several task packages specifying prerequisites, rationale for learning, objectives, learning activities to be supervised by the instructor, and learning practice. The units cover: pictorial drawing; screw…
Threshold Concepts as Focal Points for Supporting Student Learning
ERIC Educational Resources Information Center
Jordan, Katy; Tracy, Frances; Johnstone, Keith
2011-01-01
The Plant Sciences Pedagogy Project conducted research into undergraduate teaching and learning in the Department of Plant Sciences at the University of Cambridge and has translated the research findings into interventions to improve support for student learning. A key research objective for the project was to investigate how teachers within the…
ERIC Educational Resources Information Center
Papamitsiou, Zacharoula; Economides, Anastasios A.
2014-01-01
This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence behind key objectives of the potential adoption of LA/EDM in generic educational strategic…
Flexible Learning Strategies in First through Fourth-Year Courses
ERIC Educational Resources Information Center
Cassidy, Alice; Fu, Guopeng; Valley, Will; Lomas, Cyprien; Jovel, Eduardo; Riseman, Andrew
2016-01-01
Flexible Learning (FL) is a pedagogical approach allowing for flexibility of time, place, and audience, including but not solely focused on the use of technologies. We describe Flexible Learning as a pedagogical approach in four courses framed by three key themes: 1) objectives and aspects of course design, 2) evaluation and assessment, and 3)…
ERIC Educational Resources Information Center
Braden, Robert P.; Remzi, Kerim
This learning activity package (LAP) on starting a small business is designed for student self-study. It will help students learn about their aptitudes and abilities as well as about the basics of running a small business. Following a list of learning objectives, the LAP contains a pretest (answer key provided at the end of the LAP). Ten learning…
ERIC Educational Resources Information Center
Kulak, Verena; Newton, Genevieve; Sharma, Rahul
2017-01-01
Objective: Enhanced knowledge retention and a preference towards a deep learning approach are desirable pedagogical outcomes of case-based learning (CBL). The CBL literature is sparse with respect to these outcomes, and this is especially so in the area of biochemistry. The present study determined the effect of CBL vs. non CBL on knowledge…
Keegan, David; Bannister, Susan
2010-01-01
OBJECTIVES: To clarify the need for an advanced child health training program for Canadian rural family physicians, and to determine the key learning objectives to enable graduates to become community leaders in child and youth health care. DESIGN: Qualitative educational research study. Setting: Canada and Australia. METHODS: To gather data, the authors carried out semistructured interviews and focus groups with child care consultants, Canadian rural family physicians, child patients and parents, family medicine residents and Australian rural family physicians. Standards of qualitative methodology were applied to identify themes and subthemes. RESULTS: It was determined that a family medicine child health program would provide the following benefits: enhanced care by family physicians, improved access to child care, increased attractiveness of family medicine as a career and reduced ‘specialty burden’. Five key learning objectives for graduates were identified: the ability to provide child-centred care, to care for acutely or critically ill children, to care for children with complex needs, to recognize and act on ‘red flags’, and to provide behavioural and mental health care. The Australian general practitioners confirmed that their training provided most of these benefits, and enabled them to achieve the objectives identified. CONCLUSION: The present study showed that multiple stakeholders believed that advanced training in child health for rural family physicians would provide better care for children. The study also identified key learning objectives for the program. The present research led to the establishment of a Family Medicine Child Health Residency Program (www.familymedicineuwo.ca/PostGrad/PGY3/ChildHealth.aspx) at The University of Western Ontario (London, Ontario). PMID:21731414
Adaptive Sensing and Fusion of Multi-Sensor Data and Historical Information
2009-11-06
integrate MTL and semi-supervised learning into a single framework , thereby exploiting two forms of contextual information. A key new objective of the...this report we integrate MTL and semi-supervised learning into a single framework , thereby exploiting two forms of contextual information. A key new...process [8], denoted as X ∼ BeP (B), where B is a measure on Ω. If B is continuous, X is a Poisson process with intensity B and can be constructed as X = N
Transition to intensive care nursing: establishing a starting point.
Boyle, Martin; Butcher, Rand; Conyers, Vicki; Kendrick, Tina; MacNamara, Mary; Lang, Susie
2008-11-01
There is a shortage of intensive care (IC) nurses. A supported transition to IC nursing has been identified as a key strategy for recruitment and retention. In 2004 a discussion document relating to transition of IC nurses was presented to the New South Wales (NSW) Chief Nursing Officer (CNO). A workshop was held with key stakeholders and a Steering Group was established to develop a state-wide transition to IC nursing program. To survey orientation programs and educational resources and develop definitions, goals, learning objectives and clinical competencies relating to transition to IC nursing practice. A questionnaire and a draft document of definitions, target group, goals, learning objectives and clinical competencies for IC transition was distributed to 43 NSW IC units (ICUs). An iterative process of anonymous feedback and modification was undertaken to establish agreement on content. Responses were received from 29 units (return rate of 67%). The survey of educational resources indicated ICUs had access to educational support and there was evidence of a lack of a common standard or definition for "orientation" or "transition". The definitions, target group, goals and competency statements from the draft document were accepted with minor editorial change. Seventeen learning objectives or psychomotor skills were modified and an additional 19 were added to the draft as a result of the process. This work has established valid definitions, goals, learning objectives and clinical competencies that describe transition to intensive care nursing.
Passive and active adaptive management: Approaches and an example
Williams, B.K.
2011-01-01
Adaptive management is a framework for resource conservation that promotes iterative learning-based decision making. Yet there remains considerable confusion about what adaptive management entails, and how to actually make resource decisions adaptively. A key but somewhat ambiguous distinction in adaptive management is between active and passive forms of adaptive decision making. The objective of this paper is to illustrate some approaches to active and passive adaptive management with a simple example involving the drawdown of water impoundments on a wildlife refuge. The approaches are illustrated for the drawdown example, and contrasted in terms of objectives, costs, and potential learning rates. Some key challenges to the actual practice of AM are discussed, and tradeoffs between implementation costs and long-term benefits are highlighted. ?? 2010 Elsevier Ltd.
ERIC Educational Resources Information Center
Alahdadi, Shadi; Ghanizadeh, Afsaneh
2017-01-01
A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and…
Improving Collaborative Learning in Online Software Engineering Education
ERIC Educational Resources Information Center
Neill, Colin J.; DeFranco, Joanna F.; Sangwan, Raghvinder S.
2017-01-01
Team projects are commonplace in software engineering education. They address a key educational objective, provide students critical experience relevant to their future careers, allow instructors to set problems of greater scale and complexity than could be tackled individually, and are a vehicle for socially constructed learning. While all…
Design Concepts. Teacher Edition. Marketing Education LAPs.
ERIC Educational Resources Information Center
Hawley, Jana
This learning activity packet is designed to help prepare students to acquire a competency: how to use design concepts in preparation for a career in the fashion industry. The unit consists of the competency, four objectives, suggested learning activities, transparency masters, and a pretest/posttest with answer keys. Activities include a…
Textiles. Teacher Edition. Marketing Education LAPs.
ERIC Educational Resources Information Center
Hawley, Jana
This learning activity packet is designed to help students to acquire a competency: how to use knowledge of textile design to gain expertise in preparation for a career in the fashion industry. The unit consists of the competency, four objectives, suggested learning activities, transparency masters, and a pretest/posttest with answer keys.…
Thinking Out Loud while Studying Text: Rehearsing Key Ideas.
ERIC Educational Resources Information Center
Muth, K. Denise; And Others
1988-01-01
A study involving 32 undergraduate students was conducted to identify mechanisms by which instructional objectives affect learning. Protocols for thinking out loud were examined for evidence of rehearsal activity. Results suggest that instructional objectives enhanced real-time rehearsal activity, recall, and reading time. (TJH)
Developing International Business Managers through International Study Visits to China
ERIC Educational Resources Information Center
Tang, Yiming; Rose, Susan
2014-01-01
Globalization is a key factor in the success of business organizations today, impacting many aspects of management performance. Understanding the global business environment has therefore become a key objective in the teaching of international business on Executive MBA programs. Drawing on the theory of experiential learning, this study examines…
Interviewing Objects: Including Educational Technologies as Qualitative Research Participants
ERIC Educational Resources Information Center
Adams, Catherine A.; Thompson, Terrie Lynn
2011-01-01
This article argues the importance of including significant technologies-in-use as key qualitative research participants when studying today's digitally enhanced learning environments. We gather a set of eight heuristics to assist qualitative researchers in "interviewing" technologies-in-use (or other relevant objects), drawing on concrete…
NASA Astrophysics Data System (ADS)
Lu, Xiaoguang; Xue, Hui; Jolly, Marie-Pierre; Guetter, Christoph; Kellman, Peter; Hsu, Li-Yueh; Arai, Andrew; Zuehlsdorff, Sven; Littmann, Arne; Georgescu, Bogdan; Guehring, Jens
2011-03-01
Cardiac perfusion magnetic resonance imaging (MRI) has proven clinical significance in diagnosis of heart diseases. However, analysis of perfusion data is time-consuming, where automatic detection of anatomic landmarks and key-frames from perfusion MR sequences is helpful for anchoring structures and functional analysis of the heart, leading toward fully automated perfusion analysis. Learning-based object detection methods have demonstrated their capabilities to handle large variations of the object by exploring a local region, i.e., context. Conventional 2D approaches take into account spatial context only. Temporal signals in perfusion data present a strong cue for anchoring. We propose a joint context model to encode both spatial and temporal evidence. In addition, our spatial context is constructed not only based on the landmark of interest, but also the landmarks that are correlated in the neighboring anatomies. A discriminative model is learned through a probabilistic boosting tree. A marginal space learning strategy is applied to efficiently learn and search in a high dimensional parameter space. A fully automatic system is developed to simultaneously detect anatomic landmarks and key frames in both RV and LV from perfusion sequences. The proposed approach was evaluated on a database of 373 cardiac perfusion MRI sequences from 77 patients. Experimental results of a 4-fold cross validation show superior landmark detection accuracies of the proposed joint spatial-temporal approach to the 2D approach that is based on spatial context only. The key-frame identification results are promising.
ERIC Educational Resources Information Center
Ezquerra, Ángel; Manso, Javier; Burgos, Mª Esther; Hallabrin, Carla
2014-01-01
New curricular plans based on key competences create the need for new educational proposals that allow their development. This article describes a proposal to develop key competences through project-based learning. The project's objective is the creation of a digital video. The following study was carried out with students in their final two years…
ERIC Educational Resources Information Center
Hsieh, Tung-Cheng; Lee, Ming-Che; Su, Chien-Yuan
2013-01-01
In recent years, the demand for computer programming professionals has increased rapidly. These computer engineers not only play a key role in the national development of the computing and software industries, they also have a significant influence on the broader national knowledge industry. Therefore, one of the objectives of information…
Instructor-Provided Summary Infographics to Support Online Learning
ERIC Educational Resources Information Center
Elena Gallagher, Silvia; O'Dulain, Mairtin; O'Mahony, Niamh; Kehoe, Claire; McCarthy, Fintan; Morgan, Gerard
2017-01-01
Infographics are a visualisation tool that can be used to improve retention, comprehension and appeal of complex concepts. The rise of infographic use in education has facilitated new forms of application and design of these tools. Instructor-provided summary infographics are a new form of infographic, whereby key learning objectives and content…
Online Video Modules for Improvement in Student Learning
ERIC Educational Resources Information Center
Lancellotti, Matthew; Thomas, Sunil; Kohli, Chiranjeev
2016-01-01
The objective of this teaching innovation was to incorporate a comprehensive set of short online video modules covering key topics from the undergraduate principles of marketing class, and to evaluate its effectiveness in improving student learning. A quasiexperimental design was used to compare students who had access to video modules with a…
A Competency-Based Medical Student Curriculum Targeting Key Geriatric Syndromes
ERIC Educational Resources Information Center
van Zuilen, Maria H.; Rodriguez, Osvaldo; Mintzer, Michael J.; Paniagua, Miguel A.; Milanez, Marcos N.; Ruiz, Jorge G.; Kaiser, Robert M.; Roos, Bernard A.
2008-01-01
The University of Miami Miller School of Medicine (UMMSM) has developed and implemented a competency-based undergraduate medical education (UME) curriculum that targets 61 learning objectives for three geriattic syndromes: dementia, falls, and delirium. This curriculum redesign changed the educational focus from what is taught to what is learned.…
Are Approaches to Learning in Kindergarten Associated with Academic and Social Competence Similarly?
ERIC Educational Resources Information Center
Razza, Rachel A.; Martin, Anne; Brooks-Gunn, Jeanne
2015-01-01
Background: Approaches to learning (ATL) is a key domain of school readiness with important implications for children's academic trajectories. Interestingly, however, the impact of early ATL on children's social competence has not been examined. Objective: This study examines associations between children's ATL at age 5 and academic achievement…
20th Century Fashions. Teacher Edition. Marketing Education LAPs.
ERIC Educational Resources Information Center
Hawley, Jana
This learning activity packet is designed to help students to acquire a competency: how to use an understanding of fashion history in preparation for a career in the fashion industry. The unit consists of the competency, three objectives, suggested learning activity, transparency masters, and a pretest/posttest with answer keys. The activity is a…
Dornblaser, Emily K; Ratka, Anna; Gleason, Shaun E; Ombengi, David N; Tofade, Toyin; Wigle, Patricia R; Zapantis, Antonia; Ryan, Melody; Connor, Sharon; Jonkman, Lauren J; Ochs, Leslie; Jungnickel, Paul W; Abrons, Jeanine P; Alsharif, Naser Z
2016-04-25
The objective of this article is to describe the key areas of consideration for global/international advanced pharmacy practice experience (G/I APPE) preceptors, students and learning objectives. At the 2013 Annual Meeting of the American Association of Colleges of Pharmacy (AACP), the GPE SIG prepared and presented an initial report on the G/IAPPE initiatives. Round table discussions were conducted at the 2014 AACP Annual Meeting to document GPE SIG member input on key areas in the report. Literature search of PubMed, Google Scholar and EMBASE with keywords was conducted to expand this report. In this paper, considerations related to preceptors and students and learning outcomes are described. Preceptors for G/I APPEs may vary based on the learning outcomes of the experience. Student learning outcomes for G/I APPEs may vary based on the type of experiential site. Recommendations and future directions for development of G/IAPPEs are presented. Development of a successful G/I APPE requires significant planning and consideration of appropriate qualifications for preceptors and students.
Machine learning for real time remote detection
NASA Astrophysics Data System (ADS)
Labbé, Benjamin; Fournier, Jérôme; Henaff, Gilles; Bascle, Bénédicte; Canu, Stéphane
2010-10-01
Infrared systems are key to providing enhanced capability to military forces such as automatic control of threats and prevention from air, naval and ground attacks. Key requirements for such a system to produce operational benefits are real-time processing as well as high efficiency in terms of detection and false alarm rate. These are serious issues since the system must deal with a large number of objects and categories to be recognized (small vehicles, armored vehicles, planes, buildings, etc.). Statistical learning based algorithms are promising candidates to meet these requirements when using selected discriminant features and real-time implementation. This paper proposes a new decision architecture benefiting from recent advances in machine learning by using an effective method for level set estimation. While building decision function, the proposed approach performs variable selection based on a discriminative criterion. Moreover, the use of level set makes it possible to manage rejection of unknown or ambiguous objects thus preserving the false alarm rate. Experimental evidences reported on real world infrared images demonstrate the validity of our approach.
Cells adapt to their environment via homeostatic processes that are regulated by complex molecular networks. Our objective was to learn key elements of these networks in HepG2 cells using ToxCast High-content imaging (HCI) measurements taken over three time points (1, 24, and 72h...
Responding to Outreach and Training Challenges in Health Information: A Case Study from Africa
ERIC Educational Resources Information Center
Chimalizeni, Michael; Chimwaza, Gracian; Chataira, Blessing; Msengezi, Chipo
2014-01-01
This article shares the experience and lessons learned by Information Training and Outreach Center for Africa (ITOCA) in rolling out an on-line distance learning course. Key objectives were to explore the efficacy of online courses in increasing skills and awareness of electronic resources access initiatives. This is in the context of responding…
A Comparative Study of the Effects of Cultural Differences on the Adoption of Mobile Learning
ERIC Educational Resources Information Center
Arpaci, Ibrahim
2015-01-01
The objective of this paper is to understand the impact of cultural differences on mobile learning adoption through identifying key adoption characteristics in Canada and Turkey, which have markedly different cultural backgrounds. A multi-group analysis was employed to test the hypothesised relationships based on the data collected by means of…
"DOS for Managers." Management Training Series.
ERIC Educational Resources Information Center
Marion County Schools, Fairmont, WV.
A plan is provided for a lesson on disk operating systems (DOS) for managers. Twenty-five lesson objectives are listed, followed by suggestions for learning activities and special resources. In the presentation section, key points and content are provided for 25 instructional topics that correspond to the 25 lesson objectives. The topics are as…
Going to the Market. Teacher Edition. Fashion Buying Series.
ERIC Educational Resources Information Center
Collins, Cindy
This teacher's guide presents material for a unit on attending the retail fashion market. Content focuses on previewing merchandise for purchase, factors involved in a major market trip, common terms used when ordering merchandise, and pricing strategies. The guide contains 4 objectives, 6 group learning activities keyed to the objectives, 12…
Introduction to Fashion Buying. Teacher Edition. Fashion Buying Series.
ERIC Educational Resources Information Center
Collins, Cindy
This teacher's guide presents material for a unit on introduction to fashion buying. Content focuses on information sources, retail store types, the responsibilities of a buyer, and the qualifications of a buyer. The guide contains 4 objectives, 4 group learning activities keyed to the objectives, 17 transparency masters with dialogue for each,…
ERIC Educational Resources Information Center
Ljubojevic, Milos; Vaskovic, Vojkan; Stankovic, Srecko; Vaskovic, Jelena
2014-01-01
The main objective of this research is to investigate efficiency of use of supplementary video content in multimedia teaching. Integrating video clips in multimedia lecture presentations may increase students' perception of important information and motivation for learning. Because of that, students can better understand and remember key points of…
ERIC Educational Resources Information Center
Conference Board of Canada, Ottawa (Ontario).
This report provides a summary of the objectives, proceedings, and major outcomes of a summit meeting of over 500 leaders from across Canada convened to validate and prioritize strategic recommendations from an innovation and learning engagement process and to discuss key challenges to realization of Canada's vision to become one of the most…
Student Response to Remote-Online Case-Based Learning: A Qualitative Study
2016-01-01
Background Case-based learning (CBL) typically involves face-to-face interaction in small collaborative groups with a focus on self-directed study. To our knowledge, no published studies report an evaluation of Web conferencing in CBL. Objective The primary aim of this study was to explore student perceptions and attitudes in response to a remote-online case-based learning (RO-CBL) experience. Methods This study took place over a 2-week period in 2013 at Monash University, Victoria, Australia. A third year cohort (n=73) of physiotherapy students was invited to participate. Students were required to participate in 2 training sessions, followed by RO-CBL across 2 sessions. The primary outcome of interest was the student feedback on the quality of the learning experience during RO-CBL participation. This was explored with a focus group and a survey. Results Most students (68/73) completed the postintervention survey (nonparticipation rate 8%). RO-CBL was generally well received by participants, with 59% (40/68) of participates stating that they’d like RO-CBL to be used in the future and 78% (53/68) of participants believing they could meet the CBL’s learning objectives via RO-CBL. The 4 key themes relevant to student response to RO-CBL that emerged from the focus groups and open-ended questions on the postintervention survey were how RO-CBL compared to expectations, key benefits of RO-CBL including flexibility and time and cost savings, communication challenges in the online environment compared to face-to-face, and implications of moving to an online platform. Conclusions Web conferencing may be a suitable medium for students to participate in CBL. Participants were satisfied with the learning activity and felt they could meet the CBL’s learning objectives. Further study should evaluate Web conferencing CBL across an entire semester in regard to student satisfaction, perceived depth of learning, and learning outcomes. PMID:27731852
Preparing for the Market. Teacher Edition. Fashion Buying Series.
ERIC Educational Resources Information Center
Collins, Cindy
This teacher's guide presents material for a unit on preparing for the retail fashion market. Content focuses on merchandise plans, computing open-to-buy, computing turnover, the components of a model stock plan, and criteria used when selecting a supplier. The guide contains 5 objectives, 6 group learning activities keyed to the objectives, 21…
TU-D-213AB-01: How You Can Be the Speaker and Communicator Everyone Wants You to Be.
Collins, J; Aydogan, B
2012-06-01
Effectiveness of an oral presentation depends on the ability of the speaker to communicate with the audience. An important part of this communication is focusing on two to five key points and emphasizing those points during the presentation. Every aspect of the presentation should be purposeful and directed at facilitating learners' achievement of the objectives. This necessitates that the speaker has carefully developed the objectives and built the presentation around attainment of the objectives. A presentation should be designed to include as much audience participation as possible, no matter the size of the audience. Techniques to encourage audience participation include questioning, brainstorming, small-group activities, role-playing, case-based examples, directed listening, and use of an audience response system. It is first necessary to motivate and gain attention of the learner for learning to take place. This can be accomplished through appropriate use of humor, anecdotes, and quotations. This course will review adult learning principles and effective presentation skills, Learning Objectives: 1. Apply adult learning principles. 2. Demonstrate effective presentations skills. © 2012 American Association of Physicists in Medicine.
Soulé, Jonathan; Penke, Zsuzsa; Kanhema, Tambudzai; Alme, Maria Nordheim; Laroche, Serge; Bramham, Clive R.
2008-01-01
Long-term recognition memory requires protein synthesis, but little is known about the coordinate regulation of specific genes. Here, we examined expression of the plasticity-associated immediate early genes (Arc, Zif268, and Narp) in the dentate gyrus following long-term object-place recognition learning in rats. RT-PCR analysis from dentate gyrus tissue collected shortly after training did not reveal learning-specific changes in Arc mRNA expression. In situ hybridization and immunohistochemistry were therefore used to assess possible sparse effects on gene expression. Learning about objects increased the density of granule cells expressing Arc, and to a lesser extent Narp, specifically in the dorsal blade of the dentate gyrus, while Zif268 expression was elevated across both blades. Thus, object-place recognition triggers rapid, blade-specific upregulation of plasticity-associated immediate early genes. Furthermore, Western blot analysis of dentate gyrus homogenates demonstrated concomitant upregulation of three postsynaptic density proteins (Arc, PSD-95, and α-CaMKII) with key roles in long-term synaptic plasticity and long-term memory. PMID:19190776
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection.
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.
Online Object Tracking, Learning and Parsing with And-Or Graphs.
Wu, Tianfu; Lu, Yang; Zhu, Song-Chun
2017-12-01
This paper presents a method, called AOGTracker, for simultaneously tracking, learning and parsing (TLP) of unknown objects in video sequences with a hierarchical and compositional And-Or graph (AOG) representation. The TLP method is formulated in the Bayesian framework with a spatial and a temporal dynamic programming (DP) algorithms inferring object bounding boxes on-the-fly. During online learning, the AOG is discriminatively learned using latent SVM [1] to account for appearance (e.g., lighting and partial occlusion) and structural (e.g., different poses and viewpoints) variations of a tracked object, as well as distractors (e.g., similar objects) in background. Three key issues in online inference and learning are addressed: (i) maintaining purity of positive and negative examples collected online, (ii) controling model complexity in latent structure learning, and (iii) identifying critical moments to re-learn the structure of AOG based on its intrackability. The intrackability measures uncertainty of an AOG based on its score maps in a frame. In experiments, our AOGTracker is tested on two popular tracking benchmarks with the same parameter setting: the TB-100/50/CVPR2013 benchmarks , [3] , and the VOT benchmarks [4] -VOT 2013, 2014, 2015 and TIR2015 (thermal imagery tracking). In the former, our AOGTracker outperforms state-of-the-art tracking algorithms including two trackers based on deep convolutional network [5] , [6] . In the latter, our AOGTracker outperforms all other trackers in VOT2013 and is comparable to the state-of-the-art methods in VOT2014, 2015 and TIR2015.
Managing the travel model process : small and medium-sized MPOs. Instructor guide.
DOT National Transportation Integrated Search
2013-09-01
The learning objectives of this course were to: explain fundamental travel model concepts; describe the model development process; identify key inputs and describe the quality control process; and identify and manage resources.
Managing the travel model process : small and medium-sized MPOs. Participant handbook.
DOT National Transportation Integrated Search
2013-09-01
The learning objectives of this course were to: explain fundamental travel model concepts; describe the model development process; identify key inputs and describe the quality control process; and identify and manage resources.
Blair, K. S.; Otero, M.; Teng, C.; Geraci, M.; Lewis, E.; Hollon, N.; Blair, R. J. R.; Ernst, Monique; Grillon, C.; Pine, D. S.
2016-01-01
Background Social anxiety disorder involves fear of social objects or situations. Social referencing may play an important role in the acquisition of this fear and could be a key determinant in future biomarkers and treatment pathways. However, the neural underpinnings mediating such learning in social anxiety are unknown. Using event-related functional magnetic resonance imaging, we examined social reference learning in social anxiety disorder. Specifically, would patients with the disorder show increased amygdala activity during social reference learning, and further, following social reference learning, show particularly increased response to objects associated with other people’s negative reactions? Method A total of 32 unmedicated patients with social anxiety disorder and 22 age-, intelligence quotient- and gender-matched healthy individuals responded to objects that had become associated with others’ fearful, angry, happy or neutral reactions. Results During the social reference learning phase, a significant group × social context interaction revealed that, relative to the comparison group, the social anxiety group showed a significantly greater response in the amygdala, as well as rostral, dorsomedial and lateral frontal and parietal cortices during the social, relative to non-social, referencing trials. In addition, during the object test phase, relative to the comparison group, the social anxiety group showed increased bilateral amygdala activation to objects associated with others’ fearful reactions, and a trend towards decreased amygdala activation to objects associated with others’ happy and neutral reactions. Conclusions These results suggest perturbed observational learning in social anxiety disorder. In addition, they further implicate the amygdala and dorsomedial prefrontal cortex in the disorder, and underscore their importance in future biomarker developments. PMID:27476529
An evaluation of an interprofessional practice-based learning environment using student reflections.
Housley, Cora L; Neill, Kathryn K; White, Lanita S; Tedder, Andrea T; Castleberry, Ashley N
2018-01-01
The 12th Street Health and Wellness Center is an interprofessional, student-led, community-based clinic. Students from all University of Arkansas for Medical Sciences colleges work together to provide healthcare services for residents of an underserved community. Interprofessional student teams assess patients and present to an interprofessional preceptor team. At the conclusion of clinic, teams reflect on their experience. The objective of this study is to generate key themes from the end of clinic reflections to describe learning outcomes in an interprofessional practice environment. Student teams were asked to reflect on what they learned about patient care and interprofessional practice while volunteering at the clinic. Three hundred eighty reflection statements were assessed using the constant comparative approach with open coding by three researchers who identified and categorised themes by selecting key phrases from reflections. Eight themes emerged from this process which illuminated students' self-perceived development during practice-based learning and interprofessional collaboration. Key phrases were also coded to the four core Interprofessional Education Collaborative competency domains. These results suggest learners' perception that the Center is a practice-based environment that provides an opportunity to learn, integrate, and apply interprofessional curricular content.
Cao, Yongqiang; Grossberg, Stephen; Markowitz, Jeffrey
2011-12-01
All primates depend for their survival on being able to rapidly learn about and recognize objects. Objects may be visually detected at multiple positions, sizes, and viewpoints. How does the brain rapidly learn and recognize objects while scanning a scene with eye movements, without causing a combinatorial explosion in the number of cells that are needed? How does the brain avoid the problem of erroneously classifying parts of different objects together at the same or different positions in a visual scene? In monkeys and humans, a key area for such invariant object category learning and recognition is the inferotemporal cortex (IT). A neural model is proposed to explain how spatial and object attention coordinate the ability of IT to learn invariant category representations of objects that are seen at multiple positions, sizes, and viewpoints. The model clarifies how interactions within a hierarchy of processing stages in the visual brain accomplish this. These stages include the retina, lateral geniculate nucleus, and cortical areas V1, V2, V4, and IT in the brain's What cortical stream, as they interact with spatial attention processes within the parietal cortex of the Where cortical stream. The model builds upon the ARTSCAN model, which proposed how view-invariant object representations are generated. The positional ARTSCAN (pARTSCAN) model proposes how the following additional processes in the What cortical processing stream also enable position-invariant object representations to be learned: IT cells with persistent activity, and a combination of normalizing object category competition and a view-to-object learning law which together ensure that unambiguous views have a larger effect on object recognition than ambiguous views. The model explains how such invariant learning can be fooled when monkeys, or other primates, are presented with an object that is swapped with another object during eye movements to foveate the original object. The swapping procedure is predicted to prevent the reset of spatial attention, which would otherwise keep the representations of multiple objects from being combined by learning. Li and DiCarlo (2008) have presented neurophysiological data from monkeys showing how unsupervised natural experience in a target swapping experiment can rapidly alter object representations in IT. The model quantitatively simulates the swapping data by showing how the swapping procedure fools the spatial attention mechanism. More generally, the model provides a unifying framework, and testable predictions in both monkeys and humans, for understanding object learning data using neurophysiological methods in monkeys, and spatial attention, episodic learning, and memory retrieval data using functional imaging methods in humans. Copyright © 2011 Elsevier Ltd. All rights reserved.
Vocal learning in the functionally referential food grunts of chimpanzees.
Watson, Stuart K; Townsend, Simon W; Schel, Anne M; Wilke, Claudia; Wallace, Emma K; Cheng, Leveda; West, Victoria; Slocombe, Katie E
2015-02-16
One standout feature of human language is our ability to reference external objects and events with socially learned symbols, or words. Exploring the phylogenetic origins of this capacity is therefore key to a comprehensive understanding of the evolution of language. While non-human primates can produce vocalizations that refer to external objects in the environment, it is generally accepted that their acoustic structure is fixed and a product of arousal states. Indeed, it has been argued that the apparent lack of flexible control over the structure of referential vocalizations represents a key discontinuity with language. Here, we demonstrate vocal learning in the acoustic structure of referential food grunts in captive chimpanzees. We found that, following the integration of two groups of adult chimpanzees, the acoustic structure of referential food grunts produced for a specific food converged over 3 years. Acoustic convergence arose independently of preference for the food, and social network analyses indicated this only occurred after strong affiliative relationships were established between the original subgroups. We argue that these data represent the first evidence of non-human animals actively modifying and socially learning the structure of a meaningful referential vocalization from conspecifics. Our findings indicate that primate referential call structure is not simply determined by arousal and that the socially learned nature of referential words in humans likely has ancient evolutionary origins. Copyright © 2015 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Boisselier, Lise; Ferry, Barbara; Gervais, Rémi
2017-01-01
The hippocampal formation has been extensively described as a key component for object recognition in conjunction with place and context. The present study aimed at describing neural mechanisms in the hippocampal formation that support olfactory-tactile (OT) object discrimination in a task where space and context were not taken into account. The…
Soft systems thinking and social learning for adaptive management.
Cundill, G; Cumming, G S; Biggs, D; Fabricius, C
2012-02-01
The success of adaptive management in conservation has been questioned and the objective-based management paradigm on which it is based has been heavily criticized. Soft systems thinking and social-learning theory expose errors in the assumption that complex systems can be dispassionately managed by objective observers and highlight the fact that conservation is a social process in which objectives are contested and learning is context dependent. We used these insights to rethink adaptive management in a way that focuses on the social processes involved in management and decision making. Our approach to adaptive management is based on the following assumptions: action toward a common goal is an emergent property of complex social relationships; the introduction of new knowledge, alternative values, and new ways of understanding the world can become a stimulating force for learning, creativity, and change; learning is contextual and is fundamentally about practice; and defining the goal to be addressed is continuous and in principle never ends. We believe five key activities are crucial to defining the goal that is to be addressed in an adaptive-management context and to determining the objectives that are desirable and feasible to the participants: situate the problem in its social and ecological context; raise awareness about alternative views of a problem and encourage enquiry and deconstruction of frames of reference; undertake collaborative actions; and reflect on learning. ©2011 Society for Conservation Biology.
Project management lessons learned on SDIO's Delta Star and Single Stage Rocket Technology programs
NASA Technical Reports Server (NTRS)
Klevatt, Paul L.
1992-01-01
The topics are presented in viewgraph form and include the following: a Delta Star (Delta 183) Program Overview, lessons learned, and rapid prototyping and the Single Stage Rocket Technology (SSRT) Program. The basic objective of the Strategic Defense Initiative Programs are to quickly reduce key uncertainties to a manageable range of parameters and solutions, and to yield results applicable to focusing subsequent research dollars on high payoff areas.
Twelve tips for creating trigger images for problem-based learning cases.
Azer, Samy A
2007-03-01
A trigger is the starting point of problem-based learning (PBL) cases. It is usually in the form of 5-6 text lines that provide the key information about the main character (usually the patient), including 3-4 of patient's presenting problems. In addition to the trigger text, most programs using PBL include a visual trigger. This might be in the form of a single image, a series of images, a video clip, a cartoon, or even one of the patient's investigation results (e.g. chest X-ray, pathology report, or urine sample analysis). The main educational objectives of the trigger image are as follows: (1) to introduce the patient to the students; (2) to enhance students' observation skills; (3) to provide them with new information to add to the cues obtained from the trigger text; and (4) to stimulate students to ask questions as they develop their enquiry plan. When planned and delivered effectively, trigger images should be engaging and stimulate group discussion. Understanding the educational objectives of using trigger images and choosing appropriate images are the keys for constructing successful PBL cases. These twelve tips highlight the key steps in the successful creation of trigger images.
Linear Equations. [Student Worksheets for Vocational Agricultural Courses].
ERIC Educational Resources Information Center
Jewell, Larry R.
This learning module provides students with practice in applying algebraic operations to vocational agriculture. The module consists of unit objectives, definitions, information, problems to solve, worksheets suitable for various levels of vocational agriculture instruction, and answer keys for the problems and worksheets. This module, which…
Common Fractions. [Student Worksheets for Vocational Agricultural Courses].
ERIC Educational Resources Information Center
Jewell, Larry R.
This learning module provides students with practice in applying mathematical operations to vocational agriculture. The module consists of unit objectives, definitions, information, problems to solve, worksheets suitable for various levels of vocational agriculture instruction, and answer keys for the problems and worksheets. This module, which…
How to confidently teach EBM on foot: development and evaluation of a web-based e-learning course.
Weberschock, Tobias; Sorinola, Olanrewaju; Thangaratinam, Shakila; Oude Rengerink, Katrien; Arvanitis, Theodoros N; Khan, Khalid S
2013-10-01
Scarcity of well-trained clinical tutors is a key constraint in integrating teaching of evidence-based medicine (EBM) into clinical activities. We developed a web-based educational course for clinical trainers to confidently teach EBM principles in everyday practice. Its e-learning modules defined the learning objectives and incorporated video clips of practical and effective EBM teaching methods for exploiting educational opportunities in six different clinical settings. We evaluated the course with clinical tutors in different specialties across six European countries using a questionnaire to capture learning achievement against preset objectives. Among 56 tutors, 47 participants (84%) improved their scores from baseline. The mean pre-course score was 69.2 (SD=10.4), which increased to 77.3 (SD=11.7) postcourse (p<0.0001). The effect size was moderate with a Cohen's d of 0.73. An e-learning approach incorporating videos of applied EBM teaching and learning based on real clinical scenarios in the workplace can be useful in facilitating EBM teaching on foot. It can be integrated in the continuing professional development programmes for clinical trainers.
ERIC Educational Resources Information Center
Sutinen, Ari
2013-01-01
The project method became a famous teaching method when William Heard Kilpatrick published his article "Project Method" in 1918. The key idea in Kilpatrick's project method is to try to explain how pupils learn things when they work in projects toward different common objects. The same idea of pupils learning by work or action in an…
Good Work Ensures Employment Success. Myths and Realities No. 2.
ERIC Educational Resources Information Center
Brown, Bettina Lankard
It is a myth that skills alone ensure employment. Other keys to workplace success include continuous learning, emotional intelligence, networking, flexibility, and commitment to business objectives. Although academic degrees, skill certifications, and other documentation of accomplishments provide access to employment, they are significant only at…
The Metric System. [Student Worksheets for Vocational Agricultural Courses].
ERIC Educational Resources Information Center
Jewell, Larry R.
This learning module provides students with practice in applying mathematical operations to vocational agriculture. The module consists of unit objectives, definitions, information, problems to solve, worksheets suitable for various levels of vocational agriculture instruction, and answer keys for the problems and worksheets. This module, which…
Incremental concept learning with few training examples and hierarchical classification
NASA Astrophysics Data System (ADS)
Bouma, Henri; Eendebak, Pieter T.; Schutte, Klamer; Azzopardi, George; Burghouts, Gertjan J.
2015-10-01
Object recognition and localization are important to automatically interpret video and allow better querying on its content. We propose a method for object localization that learns incrementally and addresses four key aspects. Firstly, we show that for certain applications, recognition is feasible with only a few training samples. Secondly, we show that novel objects can be added incrementally without retraining existing objects, which is important for fast interaction. Thirdly, we show that an unbalanced number of positive training samples leads to biased classifier scores that can be corrected by modifying weights. Fourthly, we show that the detector performance can deteriorate due to hard-negative mining for similar or closely related classes (e.g., for Barbie and dress, because the doll is wearing a dress). This can be solved by our hierarchical classification. We introduce a new dataset, which we call TOSO, and use it to demonstrate the effectiveness of the proposed method for the localization and recognition of multiple objects in images.
Chalmers, Iain; Atkinson, Patricia; Badenoch, Douglas; Oxman, Andrew D.; Austvoll-Dahlgren, Astrid; Nordheim, Lena; Krause, L. Kendall; Schwartz, Lisa M.; Woloshin, Steven; Burls, Amanda; Mosconi, Paola; Hoffmann, Tammy; Cusack, Leila; Albarqouni, Loai; Glasziou, Paul
2017-01-01
Background People are frequently confronted with untrustworthy claims about the effects of treatments. Uncritical acceptance of these claims can lead to poor, and sometimes dangerous, treatment decisions, and wasted time and money. Resources to help people learn to think critically about treatment claims are scarce, and they are widely scattered. Furthermore, very few learning-resources have been assessed to see if they improve knowledge and behavior. Objectives Our objectives were to develop the Critical thinking and Appraisal Resource Library (CARL). This library was to be in the form of a database containing learning resources for those who are responsible for encouraging critical thinking about treatment claims, and was to be made available online. We wished to include resources for groups we identified as ‘intermediaries’ of knowledge, i.e. teachers of schoolchildren, undergraduates and graduates, for example those teaching evidence-based medicine, or those communicating treatment claims to the public. In selecting resources, we wished to draw particular attention to those resources that had been formally evaluated, for example, by the creators of the resource or independent research groups. Methods CARL was populated with learning-resources identified from a variety of sources—two previously developed but unmaintained inventories; systematic reviews of learning-interventions; online and database searches; and recommendations by members of the project group and its advisors. The learning-resources in CARL were organised by ‘Key Concepts’ needed to judge the trustworthiness of treatment claims, and were made available online by the James Lind Initiative in Testing Treatments interactive (TTi) English (www.testingtreatments.org/category/learning-resources).TTi English also incorporated the database of Key Concepts and the Claim Evaluation Tools developed through the Informed Healthcare Choices (IHC) project (informedhealthchoices.org). Results We have created a database of resources called CARL, which currently contains over 500 open-access learning-resources in a variety of formats: text, audio, video, webpages, cartoons, and lesson materials. These are aimed primarily at ‘Intermediaries’, that is, ‘teachers’, ‘communicators’, ‘advisors’, ‘researchers’, as well as for independent ‘learners’. The resources included in CARL are currently accessible at www.testingtreatments.org/category/learning-resources Conclusions We hope that ready access to CARL will help to promote the critical thinking about treatment claims, needed to help improve healthcare choices. PMID:28738058
Learning Switching Control: A Tank Level-Control Exercise
ERIC Educational Resources Information Center
Pasamontes, M.; Alvarez, J. D.; Guzman, J. L.; Berenguel, M.
2012-01-01
A key topic in multicontroller strategies is the mechanism for switching between controllers, depending on the current operating point. The objective of the switching mechanism is to keep the control action coherent. To help students understand the switching strategy involved in multicontroller schema and the relationship between the system…
DOT National Transportation Integrated Search
2016-12-25
The key objectives of this study were to: 1. Develop advanced analytical techniques that make use of a dynamically configurable connected vehicle message protocol to predict traffic flow regimes in near-real time in a virtual environment and examine ...
A Practical Guide To Developing Effective Web-based Learning
Cook, David A; Dupras, Denise M
2004-01-01
OBJECTIVE Online learning has changed medical education, but many “educational” websites do not employ principles of effective learning. This article will assist readers in developing effective educational websites by integrating principles of active learning with the unique features of the Web. DESIGN Narrative review. RESULTS The key steps in developing an effective educational website are: Perform a needs analysis and specify goals and objectives; determine technical resources and needs; evaluate preexisting software and use it if it fully meets your needs; secure commitment from all participants and identify and address potential barriers to implementation; develop content in close coordination with website design (appropriately use multimedia, hyperlinks, and online communication) and follow a timeline; encourage active learning (self-assessment, reflection, self-directed learning, problem-based learning, learner interaction, and feedback); facilitate and plan to encourage use by the learner (make website accessible and user-friendly, provide time for learning, and motivate learners); evaluate learners and course; pilot the website before full implementation; and plan to monitor online communication and maintain the site by resolving technical problems, periodically verifying hyperlinks, and regularly updating content. CONCLUSION Teaching on the Web involves more than putting together a colorful webpage. By consistently employing principles of effective learning, educators will unlock the full potential of Web-based medical education. PMID:15209610
Student Response to Remote-Online Case-Based Learning: A Qualitative Study.
Nicklen, Peter; Keating, Jennifer L; Maloney, Stephen
2016-03-22
Case-based learning (CBL) typically involves face-to-face interaction in small collaborative groups with a focus on self-directed study. To our knowledge, no published studies report an evaluation of Web conferencing in CBL. The primary aim of this study was to explore student perceptions and attitudes in response to a remote-online case-based learning (RO-CBL) experience. This study took place over a 2-week period in 2013 at Monash University, Victoria, Australia. A third year cohort (n=73) of physiotherapy students was invited to participate. Students were required to participate in 2 training sessions, followed by RO-CBL across 2 sessions. The primary outcome of interest was the student feedback on the quality of the learning experience during RO-CBL participation. This was explored with a focus group and a survey. Most students (68/73) completed the postintervention survey (nonparticipation rate 8%). RO-CBL was generally well received by participants, with 59% (40/68) of participates stating that they'd like RO-CBL to be used in the future and 78% (53/68) of participants believing they could meet the CBL's learning objectives via RO-CBL. The 4 key themes relevant to student response to RO-CBL that emerged from the focus groups and open-ended questions on the postintervention survey were how RO-CBL compared to expectations, key benefits of RO-CBL including flexibility and time and cost savings, communication challenges in the online environment compared to face-to-face, and implications of moving to an online platform. Web conferencing may be a suitable medium for students to participate in CBL. Participants were satisfied with the learning activity and felt they could meet the CBL's learning objectives. Further study should evaluate Web conferencing CBL across an entire semester in regard to student satisfaction, perceived depth of learning, and learning outcomes.
Neural principles of memory and a neural theory of analogical insight
NASA Astrophysics Data System (ADS)
Lawson, David I.; Lawson, Anton E.
1993-12-01
Grossberg's principles of neural modeling are reviewed and extended to provide a neural level theory to explain how analogies greatly increase the rate of learning and can, in fact, make learning and retention possible. In terms of memory, the key point is that the mind is able to recognize and recall when it is able to match sensory input from new objects, events, or situations with past memory records of similar objects, events, or situations. When a match occurs, an adaptive resonance is set up in which the synaptic strengths of neurons are increased; thus a long term record of the new input is formed in memory. Systems of neurons called outstars and instars are presumably the underlying units that enable this to occur. Analogies can greatly facilitate learning and retention because they activate the outstars (i.e., the cells that are sampling the to-be-learned pattern) and cause the neural activity to grow exponentially by forming feedback loops. This increased activity insures the boost in synaptic strengths of neurons, thus causing storage and retention in long-term memory (i.e., learning).
Leclair, Laurie W; Dawson, Mary; Howe, Alison; Hale, Sue; Zelman, Eric; Clouser, Ryan; Garrison, Garth; Allen, Gilman
2018-05-01
Interprofessional care teams are the backbone of intensive care units (ICUs) where severity of illness is high and care requires varied skills and experience. Despite this care model, longitudinal educational programmes for such workplace teams rarely include all professions. In this article, we report findings on the initial assessment and evaluation of an ongoing, longitudinal simulation-based curriculum for interprofessional workplace critical care teams. The study had two independent components, quantitative learner assessment and qualitative curricular evaluation. To assess curriculum effectiveness at meeting learning objectives, participant-reported key learning points identified using a self-assessment tool administered immediately following curricular participation were mapped to session learning objectives. To evaluate the curriculum, we conducted a qualitative study using a phenomenology approach involving purposeful sampling of nine curricular participants undergoing recorded semi-structured interviews. Verbatim transcripts were reviewed by two independent readers to derive themes further subdivided into successes and barriers. Learner self-assessment demonstrated that the majority of learners, across all professions, achieved at least one intended learning objective with senior learners more likely to report team-based objectives and junior learners more likely to report knowledge/practice objectives. Successes identified by curricular evaluation included authentic critical care curricular content, safe learning environment, and team comradery from shared experience. Barriers included unfamiliarity with the simulation environment and clinical coverage for curricular participation. This study suggests that a sustainable interprofessional curriculum for workplace ICU critical care teams can achieve the desired educational impact and effectively deliver authentic simulated work experiences if barriers to educational engagement and participation can be overcome.
Book Club Elective to Facilitate Student Learning of the Patient Experience With Chronic Disease
2010-01-01
Objectives To evaluate the impact of a book club experience on pharmacy students' learning about chronic illness. Design Students read autobiographies/biographies regarding the patient experience of chronic illness. Similar to a traditional book club, small group discussions were held based on questions submitted by students. Other activities included written reflections, a final paper, and an oral presentation. Assessment A retrospective pretest and posttest were administered at the end of the course. Students indicated improvement in the key aspects of the course with significant differences (p < 0.01) between retrospective pretest and posttest scores for all course objectives assessed. Students also indicated that the course contributed to their development as pharmacists, motivated them to learn about new topics, and helped them reconsider their attitudes. Conclusion A book club elective course was successful in helping students understand the patient experience. PMID:20498730
Nursing staff perceptions of student contributions in clinical settings.
Slaughter-Smith, Cheryl; Helms, Jennifer E; Burris, Rebecca
2012-01-01
Because nursing is a practice discipline, students are placed in clinical settings to collaborate with professional nurses in caring for patients. This descriptive study aimed to explore the benefits and limitations of undergraduate nursing students in the clinical setting. A 54-item instrument, Nursing Students' Contributions to Clinical Agencies, was used to collect data from staff nurses (N = 84) at three hospitals. The instrument also provided space for participants to share qualitative data, which revealed perceptions with which staff nurses were likely to agree and three key themes: Eager to Learn, Willing to Help, and Serving Their Time. The major implication for students is that they are often judged on their assertiveness skills and should offer assistance so they appear eager to learn. Faculty must ascertain that students understand their objectives for the clinical rotation and share those objectives with the staff nurses to enhance their learning experience. Copyright 2012, SLACK Incorporated.
King, Gillian; Shepherd, Tracy A; Servais, Michelle; Willoughby, Colleen; Bolack, Linda; Strachan, Deborah; Moodie, Sheila; Baldwin, Patricia; Knickle, Kerry; Parker, Kathryn; Savage, Diane; McNaughton, Nancy
2016-10-01
To describe the creation and validation of six simulations concerned with effective listening and interpersonal communication in pediatric rehabilitation. The simulations involved clinicians from various disciplines, were based on clinical scenarios related to client issues, and reflected core aspects of listening/communication. Each simulation had a key learning objective, thus focusing clinicians on specific listening skills. The article outlines the process used to turn written scenarios into digital video simulations, including steps taken to establish content validity and authenticity, and to establish a series of videos based on the complexity of their learning objectives, given contextual factors and associated macrocognitive processes that influence the ability to listen. A complexity rating scale was developed and used to establish a gradient of easy/simple, intermediate, and hard/complex simulations. The development process exemplifies an evidence-based, integrated knowledge translation approach to the teaching and learning of listening and communication skills.
2015-01-01
Background The inclusion of new technologies in education has motivated the development of studies on mental workload. These technologies are now being used in the teaching and learning process. The analysis enables identification of factors intervening in this workload as well as planning of overload prevention for educational activities using these technologies. Objective To analyze the mental workload of an educational intervention with the Mobile Virtual Learning Object for the Assessment of Acute Pain in adults and newborns, according to the NASA Task Load Index criteria. Methods A methodological study with data collected from 5 nurses and 75 students, from November of 2013 to February of 2014. Results The highest students’ and specialists’ means were in the dimensions of “Mental demand” (57.20 ± 22.27; 51 ± 29.45) and “Performance” (58.47 ± 24.19; 73 ± 28.85). The specialists’ mental workload index was higher (50.20 ± 7.28) when compared with students’ (47.87 ± 16.85) on a scale from 0 to 100 (P=.557). Conclusions The instrument allowed for the assessment of mental workload after an online educational intervention with a mobile learning virtual object. An excessive overload was not identified among participants. Assessing mental workload from the use of educational technologies at the end of a task is a key to their applicability, with the aim of providing a more effective, stimulating, and long-lasting experience of the learning process. PMID:27731849
Development of a short-form Learning Organization Survey: the LOS-27.
Singer, Sara J; Moore, Scott C; Meterko, Mark; Williams, Sandra
2012-08-01
Despite urgent need for innovation, adaptation, and change in health care, few tools enable researchers or practitioners to assess the extent to which health care facilities perform as learning organizations or the effects of initiatives that require learning. This study's objective was to develop and test a short-form Learning Organization Survey to fill this gap. The authors applied exploratory factor analysis and confirmatory factor analysis to data from Veterans Health Administration personnel to derive a short-form survey and then conducted further confirmatory factor analysis and factor invariance testing on additional Veterans Health Administration data to evaluate the short form. Results suggest that a 27-item, 7-factor survey (2 environmental factors, 1 on leadership, and 4 on concrete learning processes and practices) reliably measures key features of organizational learning, allowing researchers to evaluate theoretical propositions about organizational learning, its antecedents, and outcomes and enabling managers to assess and enhance organizations' learning capabilities and performance.
Grossberg, Stephen; Markowitz, Jeffrey; Cao, Yongqiang
2011-12-01
Visual object recognition is an essential accomplishment of advanced brains. Object recognition needs to be tolerant, or invariant, with respect to changes in object position, size, and view. In monkeys and humans, a key area for recognition is the anterior inferotemporal cortex (ITa). Recent neurophysiological data show that ITa cells with high object selectivity often have low position tolerance. We propose a neural model whose cells learn to simulate this tradeoff, as well as ITa responses to image morphs, while explaining how invariant recognition properties may arise in stages due to processes across multiple cortical areas. These processes include the cortical magnification factor, multiple receptive field sizes, and top-down attentive matching and learning properties that may be tuned by task requirements to attend to either concrete or abstract visual features with different levels of vigilance. The model predicts that data from the tradeoff and image morph tasks emerge from different levels of vigilance in the animals performing them. This result illustrates how different vigilance requirements of a task may change the course of category learning, notably the critical features that are attended and incorporated into learned category prototypes. The model outlines a path for developing an animal model of how defective vigilance control can lead to symptoms of various mental disorders, such as autism and amnesia. Copyright © 2011 Elsevier Ltd. All rights reserved.
Collaborative mining and transfer learning for relational data
NASA Astrophysics Data System (ADS)
Levchuk, Georgiy; Eslami, Mohammed
2015-06-01
Many of the real-world problems, - including human knowledge, communication, biological, and cyber network analysis, - deal with data entities for which the essential information is contained in the relations among those entities. Such data must be modeled and analyzed as graphs, with attributes on both objects and relations encode and differentiate their semantics. Traditional data mining algorithms were originally designed for analyzing discrete objects for which a set of features can be defined, and thus cannot be easily adapted to deal with graph data. This gave rise to the relational data mining field of research, of which graph pattern learning is a key sub-domain [11]. In this paper, we describe a model for learning graph patterns in collaborative distributed manner. Distributed pattern learning is challenging due to dependencies between the nodes and relations in the graph, and variability across graph instances. We present three algorithms that trade-off benefits of parallelization and data aggregation, compare their performance to centralized graph learning, and discuss individual benefits and weaknesses of each model. Presented algorithms are designed for linear speedup in distributed computing environments, and learn graph patterns that are both closer to ground truth and provide higher detection rates than centralized mining algorithm.
Tobacco Control Competencies for US Medical Students
Geller, Alan C.; Zapka, Jane; Brooks, Katie R.; Dube, Catherine; Powers, Catherine A.; Rigotti, Nancy; O’Donnell, Joseph; Ockene, Judith
2005-01-01
The 2004 National Action Plan for Tobacco Cessation recommended that the US Department of Health and Human Services convene a diverse group of experts to ensure that competency in tobacco dependence interventions be a core graduation requirement for all new physicians and other key health care professionals. Core competencies would guide the design of new modules and explicitly outline the learning objectives for all graduating medical students. In 2002, the National Cancer Institute funded a consortium to develop, test, and integrate tobacco curricula at 12 US medical schools. Because there was neither an explicit set of tobacco competencies for medical schools nor a process to develop them, one of the consortium’s tasks was to articulate competencies and learning objectives. PMID:15914815
USDA-ARS?s Scientific Manuscript database
Objective: We describe the national dissemination of an evidence-based community cardiovascular disease prevention program for midlife and older women using the RE-AIM (reach effectiveness adoption implementation maintenance) framework and share key lessons learned during translation. Methods: In a ...
ERIC Educational Resources Information Center
Carnaby, Steven; Roberts, Bron; Lang, Janet; Nielsen, Prue
2011-01-01
Social inclusion and citizenship form the key objective of "Valuing People Now" (2009), but achieving this meaningfully with people whose behaviour can challenge services remains elusive for many services. This article describes the philosophy, development, operationalisation and evaluation of a person-centred day opportunities and supported…
Inquiry into the Heart of a Comet
ERIC Educational Resources Information Center
Cobb, Whitney; Roundtree-Brown, Maura; McFadden, Lucy; Warner, Elizabeth
2011-01-01
Real science means wrangling with peers over real ideas. Wouldn't it be thrilling to emulate a real life model of science in action in classrooms? How? By starting with a great, hands-on activity modeling an object in space that introduces both key vocabulary and science concepts with visuals to support retention and learning; encouraging…
California's Teaching Force 2010: Key Issues and Trends
ERIC Educational Resources Information Center
Center for the Future of Teaching and Learning, 2010
2010-01-01
For more than a decade, the Center for the Future of Teaching and Learning has supported the Teaching and California's Future (TCF) initiative to provide California policymakers with objective and timely data on the state's teacher workforce. Each year, the Center publishes a report on the status of teaching profession. This year's report focuses…
ERIC Educational Resources Information Center
Carver, Rebecca Bruu; Wiese, Eline Fatima; Breivik, Jarle
2014-01-01
After completion of formal education, the mass media represent people's primary source of scientific information. Besides the traditional attention to scientific knowledge, national curricula are therefore increasingly emphasizing critical and reflexive engagement with media content as a key objective of science education. Despite this curricular…
Corporate Governance: Can Universities Learn from the Private Sector?
ERIC Educational Resources Information Center
Henze, Raphaela
2010-01-01
Corporate governance has several objectives: growth, transparency, leadership, social responsibility and trust, as well as the protection of shareholders and company assets. It also plays a key role in determining a company's control environment. In this article, the author takes a closer look at corporate governance in the private sector,…
Machine Shop. Instructor Key. Supplementary Units.
ERIC Educational Resources Information Center
Walden, Charles; Cole, Phyllis
These supplementary units are designed to help students with special needs learn and apply machine shop skills. Nine competencies that are difficult for special needs students to grasp or that would help them get a future job in the field were chosen from the regular machine shop curriculum. Specific objectives for these competencies are listed at…
ERIC Educational Resources Information Center
Schlabach, Joachim
2016-01-01
Plurilingual skills are among the key skills required in international business communication. Employees working in international business operations use multiple languages concurrently, switch between them, and mediate between different languages and cultures. Up until now however, the language teaching accompanying business studies at…
Applying data fusion techniques for benthic habitat mapping and monitoring in a coral reef ecosystem
NASA Astrophysics Data System (ADS)
Zhang, Caiyun
2015-06-01
Accurate mapping and effective monitoring of benthic habitat in the Florida Keys are critical in developing management strategies for this valuable coral reef ecosystem. For this study, a framework was designed for automated benthic habitat mapping by combining multiple data sources (hyperspectral, aerial photography, and bathymetry data) and four contemporary imagery processing techniques (data fusion, Object-based Image Analysis (OBIA), machine learning, and ensemble analysis). In the framework, 1-m digital aerial photograph was first merged with 17-m hyperspectral imagery and 10-m bathymetry data using a pixel/feature-level fusion strategy. The fused dataset was then preclassified by three machine learning algorithms (Random Forest, Support Vector Machines, and k-Nearest Neighbor). Final object-based habitat maps were produced through ensemble analysis of outcomes from three classifiers. The framework was tested for classifying a group-level (3-class) and code-level (9-class) habitats in a portion of the Florida Keys. Informative and accurate habitat maps were achieved with an overall accuracy of 88.5% and 83.5% for the group-level and code-level classifications, respectively.
Working and Learning with Knowledge in the Lobes of a Humanoid's Mind
NASA Technical Reports Server (NTRS)
Ambrose, Robert; Savely, Robert; Bluethmann, William; Kortenkamp, David
2003-01-01
Humanoid class robots must have sufficient dexterity to assist people and work in an environment designed for human comfort and productivity. This dexterity, in particular the ability to use tools, requires a cognitive understanding of self and the world that exceeds contemporary robotics. Our hypothesis is that the sense-think-act paradigm that has proven so successful for autonomous robots is missing one or more key elements that will be needed for humanoids to meet their full potential as autonomous human assistants. This key ingredient is knowledge. The presented work includes experiments conducted on the Robonaut system, a NASA and the Defense Advanced research Projects Agency (DARPA) joint project, and includes collaborative efforts with a DARPA Mobile Autonomous Robot Software technical program team of researchers at NASA, MIT, USC, NRL, UMass and Vanderbilt. The paper reports on results in the areas of human-robot interaction (human tracking, gesture recognition, natural language, supervised control), perception (stereo vision, object identification, object pose estimation), autonomous grasping (tactile sensing, grasp reflex, grasp stability) and learning (human instruction, task level sequences, and sensorimotor association).
Community-based research in action: tales from the Ktunaxa community learning centres project.
Stacy, Elizabeth; Wisener, Katherine; Liman, Yolanda; Beznosova, Olga; Lauscher, Helen Novak; Ho, Kendall; Jarvis-Selinger, Sandra
2014-01-01
Rural communities, particularly Aboriginal communities, often have limited access to health information, a situation that can have significant negative consequences. To address the lack of culturally and geographically relevant health information, a community-university partnership was formed to develop, implement, and evaluate Aboriginal Community Learning Centres (CLCs). The objective of this paper is to evaluate the community-based research process used in the development of the CLCs. It focuses on the process of building relationships among partners and the CLC's value and sustainability. Semistructured interviews were conducted with key stakeholders, including principal investigators, community research leads, and supervisors. The interview transcripts were analyzed using an open-coding process to identify themes. Key challenges included enacting shared project governance, negotiating different working styles, and hiring practices based on commitment to project objectives rather than skill set. Technological access provided by the CLCs increased capacity for learning and collective community initiatives, as well as building community leads' skills, knowledge, and self-efficacy. An important lesson was to meet all partners "where they are" in building trusting relationships and adapting research methods to fit the project's context and strengths. Successful results were dependent upon persistence and patience in working through differences, and breaking the project into achievable goals, which collectively contributed to trust and capacity building. The process of building these partnerships resulted in increased capacity of communities to facilitate learning and change initiatives, and the capacity of the university to engage in successful research partnerships with Aboriginal communities in the future.
Stotz, Sarah; Lee, Jung Sun
2018-01-01
The objective of this report was to describe the development process of an innovative smartphone-based electronic learning (eLearning) nutrition education program targeted to Supplemental Nutrition Assistance Program-Education-eligible individuals, entitled Food eTalk. Lessons learned from the Food eTalk development process suggest that it is critical to include all key team members from the program's inception using effective inter-team communication systems, understand the unique resources needed, budget ample time for development, and employ an iterative development and evaluation model. These lessons have implications for researchers and funding agencies in developing an innovative evidence-based eLearning nutrition education program to an increasingly technology-savvy, low-income audience. Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.
Student Perceptions of a Flipped Pharmacotherapy Course
Khanova, Julia; McLaughlin, Jacqueline E.; Rhoney, Denise H.; Roth, Mary T.
2015-01-01
Objective. To evaluate student perception of the flipped classroom redesign of a required pharmacotherapy course. Design. Key foundational content was packaged into interactive, text-based online modules for self-paced learning prior to class. Class time was used for active and applied—but primarily case-based—learning. Assessment. For students with a strong preference for traditional lecture learning, the perception of the learning experience was negatively affected by the flipped course design. Module length and time required to complete preclass preparation were the most frequently cited impediments to learning. Students desired instructor-directed reinforcement of independently acquired knowledge to connect foundational knowledge and its application. Conclusion. This study illustrates the challenges and highlights the importance of designing courses to effectively balance time requirements and connect preclass and in-class learning activities. It underscores the crucial role of the instructor in bridging the gap between material learned as independent study and its application. PMID:26839429
Learning the Language of Copernicus.
Lubowitz, James H; Provencher, Matthew T; Brand, Jefferson C; Rossi, Michael J
2015-08-01
The Copernicus Initiative was a bold and important undertaking by the Arthroscopy Association of North America to help further our learning the art of arthroscopy in a controlled setting. Understanding arthroscopic learning, training, and simulation research requires mastery of a lexicon of new terms, which AANA Copernicus researchers define in a glossary. Learning requires practice to develop proficiency. Developing new ability is a rewarding challenge. Metrics may be used to quantitatively measure objective performance, and is a key component of the Copernicus Initiative. A dedicated group of AANA researchers and educators have taken on an important and challenging task to help us improve in the realm of surgical education. Copyright © 2015 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.
Mi, Misa; Gould, Douglas
2014-01-01
A Wiki group project was integrated into a neuroscience course for first-year medical students. The project was developed as a self-directed, collaborative learning task to help medical students review course content and make clinically important connections. The goals of the project were to enhance students' understanding of key concepts in neuroscience, promote active learning, and reinforce their information literacy skills. The objective of the exploratory study was to provide a formative evaluation of the Wiki group project and to examine how Wiki technology was utilized to enhance active and collaborative learning of first-year medical students in the course and to reinforce information literacy skills.
Mikalsen, Marius; Walderhaug, Ståle
2009-01-01
The objective of the study presented here was to perform an empirical investigation on factors affecting healthcare workers acceptance and utilisation of e-learning in post-school healthcare education. E-learning benefits are realised when key features of e-learning are not only applied, but deemed useful, compatible with the learning process and supportive in order to reach the overall goals of the learning process. We conducted a survey of 14 state-enrolled nurses and skilled-workers within the field of healthcare in Norway. The results show that perceived compatibility and subjective norm explain system usage of the e-learning tool amongst the students. We found that the fact that the students considered the e-learning to be compatible with the course in question had a positive effect on e-learning tool usage. We also found support for factors such as facilitating conditions and ease of use leads to the e-learning tool being considered useful.
Alvarez, Ana Graziela; Sasso, Grace; Iyengar, Sriram
2015-11-06
The inclusion of new technologies in education has motivated the development of studies on mental workload. These technologies are now being used in the teaching and learning process. The analysis enables identification of factors intervening in this workload as well as planning of overload prevention for educational activities using these technologies. To analyze the mental workload of an educational intervention with the Mobile Virtual Learning Object for the Assessment of Acute Pain in adults and newborns, according to the NASA Task Load Index criteria. A methodological study with data collected from 5 nurses and 75 students, from November of 2013 to February of 2014. The highest students' and specialists' means were in the dimensions of "Mental demand" (57.20 ± 22.27; 51 ± 29.45) and "Performance" (58.47 ± 24.19; 73 ± 28.85). The specialists' mental workload index was higher (50.20 ± 7.28) when compared with students' (47.87 ± 16.85) on a scale from 0 to 100 (P=.557). The instrument allowed for the assessment of mental workload after an online educational intervention with a mobile learning virtual object. An excessive overload was not identified among participants. Assessing mental workload from the use of educational technologies at the end of a task is a key to their applicability, with the aim of providing a more effective, stimulating, and long-lasting experience of the learning process.
ERIC Educational Resources Information Center
National Oceanic and Atmospheric Administration (DOC), Rockville, MD.
This activity is designed to teach about topographic maps and bathymetric charts. Students are expected to create a topographic map from a model landform, interpret a simple topographic map, and explain the difference between topographic and bathymetric maps. The activity provides learning objectives, a list of needed materials, key vocabulary…
Developing Secondary Students' Epistemic Agency in a Knowledge-Building Community
ERIC Educational Resources Information Center
Lai, Kwok-Wing; Campbell, Madeline
2018-01-01
A key educational objective for the twenty-first century is developing students' epistemic agency. Epistemic agency is the active process of choosing when, what, where one learns and how one knows, as well as the capacity to create knowledge in a community. The knowledge-building communities model developed by Scardamalia and Bereiter was used in…
ERIC Educational Resources Information Center
Rosanova, Michael
1998-01-01
Describes the InterCultura Montessori School language immersion program in Oak Park, Illinois. Profiles the work of several children to illustrate important language learning strategies. Recommends that language immersion programs include: survival vocabulary skills; repetition of key grammatical forms; use of objects, pictures, and dramatization;…
Greenhouse Crop Production; A Student Handbook, Teacher Education Series, Volume 10 Number 3s.
ERIC Educational Resources Information Center
1969
This study guide, developed by the Department of Agricultural Education of The Pennsylvania State University and field-tested by 54 teachers, is for student use in a unit on greenhouse crop production. Learning objectives, key questions, vocabulary terms, subject matter, and references are included for each of these problem areas: (1) Occupational…
Examining Multiple Readings of Popular Culture by ESL Students in Hong Kong
ERIC Educational Resources Information Center
Luk, Jasmine; Hui, Diane
2017-01-01
The integration of popular culture into English language learning has recently been formalised in the Hong Kong New Senior Secondary curriculum, with the development of critical reading indicated as one of the key objectives. Whether and how students respond to popular culture texts is, however, under-researched. The present paper reports findings…
The Biggest Plates on Earth. Submarine Ring of Fire--Grades 5-6. Plate Tectonics.
ERIC Educational Resources Information Center
National Oceanic and Atmospheric Administration (DOC), Rockville, MD.
This activity is designed to teach how tectonic plates move, what some consequences of this motion are, and how magnetic anomalies document the motion at spreading centers do. The activity provides learning objectives, a list of needed materials, key vocabulary words, background information, day-to-day procedures, internet connections, career…
Cluster: Metals. Course: Machine Shop. Research Project.
ERIC Educational Resources Information Center
Sanford - Lee County Schools, NC.
The set of 13 units is designed for use with an instructor in actual machine shop practice and is also keyed to audio visual and textual materials. Each unit contains a series of task packages which: specify prerequisites within the series (minimum is Unit 1); provide a narrative rationale for learning; list both general and specific objectives in…
The Funding of School Education: Connecting Resources and Learning. OECD Reviews of School Resources
ERIC Educational Resources Information Center
OECD Publishing, 2017
2017-01-01
This report on the funding of school education constitutes the first in a series of thematic comparative reports bringing together findings from the OECD School Resources Review. School systems have limited financial resources with which to pursue their objectives and the design of school funding policies plays a key role in ensuring that…
Knowing and Teaching Kinaesthetic Experience in Skateboarding: An Example of Sensory Emplacement
ERIC Educational Resources Information Center
Bäckström, Åsa
2014-01-01
The body has become a vital research object in several disciplines in recent years. Indeed, in the social sciences and humanities, a corporeal turn in which embodiment has become a key concept related to learning and socialisation is discussed. This cross-disciplinary paper addresses the epistemological question of how we know what we know and…
NASA Astrophysics Data System (ADS)
Zatarain-Salazar, J.; Reed, P. M.; Quinn, J.; Giuliani, M.; Castelletti, A.
2016-12-01
As we confront the challenges of managing river basin systems with a large number of reservoirs and increasingly uncertain tradeoffs impacting their operations (due to, e.g. climate change, changing energy markets, population pressures, ecosystem services, etc.), evolutionary many-objective direct policy search (EMODPS) solution strategies will need to address the computational demands associated with simulating more uncertainties and therefore optimizing over increasingly noisy objective evaluations. Diagnostic assessments of state-of-the-art many-objective evolutionary algorithms (MOEAs) to support EMODPS have highlighted that search time (or number of function evaluations) and auto-adaptive search are key features for successful optimization. Furthermore, auto-adaptive MOEA search operators are themselves sensitive to having a sufficient number of function evaluations to learn successful strategies for exploring complex spaces and for escaping from local optima when stagnation is detected. Fortunately, recent parallel developments allow coordinated runs that enhance auto-adaptive algorithmic learning and can handle scalable and reliable search with limited wall-clock time, but at the expense of the total number of function evaluations. In this study, we analyze this tradeoff between parallel coordination and depth of search using different parallelization schemes of the Multi-Master Borg on a many-objective stochastic control problem. We also consider the tradeoff between better representing uncertainty in the stochastic optimization, and simplifying this representation to shorten the function evaluation time and allow for greater search. Our analysis focuses on the Lower Susquehanna River Basin (LSRB) system where multiple competing objectives for hydropower production, urban water supply, recreation and environmental flows need to be balanced. Our results provide guidance for balancing exploration, uncertainty, and computational demands when using the EMODPS framework to discover key tradeoffs within the LSRB system.
Cantwell, George; Riesenhuber, Maximilian; Roeder, Jessica L; Ashby, F Gregory
2017-05-01
The field of computational cognitive neuroscience (CCN) builds and tests neurobiologically detailed computational models that account for both behavioral and neuroscience data. This article leverages a key advantage of CCN-namely, that it should be possible to interface different CCN models in a plug-and-play fashion-to produce a new and biologically detailed model of perceptual category learning. The new model was created from two existing CCN models: the HMAX model of visual object processing and the COVIS model of category learning. Using bitmap images as inputs and by adjusting only a couple of learning-rate parameters, the new HMAX/COVIS model provides impressively good fits to human category-learning data from two qualitatively different experiments that used different types of category structures and different types of visual stimuli. Overall, the model provides a comprehensive neural and behavioral account of basal ganglia-mediated learning. Copyright © 2017 Elsevier Ltd. All rights reserved.
2018-01-01
ABSTRACT Background: Information from patient complaints – a widely accepted measure of patient satisfaction with services – can inform improvements in service quality, and contribute towards overall health systems performance. While analyses of data from patient complaints received much emphasis, there is limited published literature on key interventions to improve complaint management systems. Objectives: The objectives are two-fold: first, to synthesise existing evidence and provide practical options to inform future policy and practice and, second, to identify key outstanding gaps in the existing literature to inform agenda for future research. Methods: We report results of review of the existing literature. Peer-reviewed published literature was searched in OVID Medline, OVID Global Health and PubMed. In addition, relevant citations from the reviewed articles were followed up, and we also report grey literature from the UK and the Netherlands. Results: Effective interventions can improve collection of complaints (e.g. establishing easy-to-use channels and raising patients’ awareness of these), analysis of complaint data (e.g. creating structures and spaces for analysis and learning from complaints data), and subsequent action (e.g. timely feedback to complainants and integrating learning from complaints into service quality improvement). No one single measure can be sufficient, and any intervention to improve patient complaint management system must include different components, which need to be feasible, effective, scalable, and sustainable within local context. Conclusions: Effective interventions to strengthen patient complaints systems need to be: comprehensive, integrated within existing systems, context-specific and cognizant of the information asymmetry and the unequal power relations between the key actors. Four gaps in the published literature represent an agenda for future research: limited understanding of contexts of effective interventions, absence of system-wide approaches, lack of evidence from low- and middle-income countries and absence of focused empirical assessments of behaviour of staff who manage patient complaints. PMID:29658393
Kemp, Matthew W.; Lazarus, Benjamin M.; Perron, Gabriel G.; Hanage, William P.; Chapman, Elaine
2014-01-01
Objective The ability to form multiple learning relationships is a key element of the doctoral learning environment in the biomedical sciences. Of these relationships, that between student and supervisor has long been viewed as key. There are, however, limited data to describe the student perspective on what makes this relationship valuable. In the present study, we discuss the findings of semi-structured interviews with biomedical Ph.D. students from the United Kingdom and the United States to: i) determine if the learning relationships identified in an Australian biomedical Ph.D. cohort are also important in a larger international student cohort; and ii) improve our understanding of student perceptions of value in their supervisory relationships. Study Design 32 students from two research intensive universities, one in the United Kingdom (n = 17), and one in the United States (n = 15) were recruited to participate in a semi-structured interview. Verbatim transcripts were transcribed, validated and analysed using a Miles and Huberman method for thematic analysis. Results Students reported that relationships with other Ph.D. students, post-doctoral scientists and supervisors were all essential to their learning. Effective supervisory relationships were perceived as the primary source of high-level project guidance, intellectual support and confidence. Relationships with fellow students were viewed as essential for the provision of empathetic emotional support. Technical learning was facilitated, almost exclusively, by relationships with postdoctoral staff. Conclusions These data make two important contributions to the scholarship of doctoral education in the biomedical sciences. Firstly, they provide further evidence for the importance of multiple learning relationships in the biomedical doctorate. Secondly, they clarify the form of a ‘valued’ supervisory relationship from a student perspective. We conclude that biomedical doctoral programs should be designed to contain a minimum level of formalised structure to promote the development of multiple learning relationships that are perceived as key to student learning. PMID:25054473
Lehmann, Susan W; Brooks, William B; Popeo, Dennis; Wilkins, Kirsten M; Blazek, Mary C
2017-10-01
America is aging as the population of older adults increases. The shortage of geriatric mental health specialists means that most geriatric mental healthcare will be provided by physicians who do not have specialty training in geriatrics. The Institute of Medicine Report of 2012 highlighted the urgent need for development of national competencies and curricula in geriatric mental health for all clinicians. Virtually all physicians can expect to treat older patients with mental health symptoms, yet currently there are no widely accepted learning objectives in geriatric mental health specific for medical students. The authors describe the development of a set of such learning objectives that all medical students should achieve by graduation. The iterative process included initial drafting by content experts from five medical schools with input and feedback from a wider group of geriatric psychiatrists, geriatricians, internists, and medical educators. The final document builds upon previously published work and includes specific knowledge, attitudes and skills in six key domains: Normal Aging, Mental Health Assessment of the Geriatric Patient, Psychopharmacology, Delirium, Depression, and Dementia. These objectives address a pressing need, providing a framework for national standards and curriculum development. Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.
Primary prevention: educational approaches to enhance social and emotional learning.
Elias, M J; Weissberg, R P
2000-05-01
The 1995 publication of Goleman's Emotional Intelligence triggered a revolution in mental health promotion. Goleman's examination of Gardner's work on multiple intelligences and current brain research, and review of successful programs that promoted emotional health, revealed a common objective among those working to prevent specific problem behaviors: producing knowledgeable, responsible, nonviolent, and caring individuals. Advances in research and field experiences confirm that school-based programs that promote social and emotional learning (SEL) in children can be powerful in accomplishing these goals. This article reviews the work of the Collaborative to Advance Social and Emotional Learning (CASEL), its guidelines for promoting mental health in children and youth based on SEL, key principles, and examples of exemplary programs.
Active Learning in a Large General Physics Classroom.
NASA Astrophysics Data System (ADS)
Trousil, Rebecca
2008-04-01
In 2004, we launched a new calculus-based, introductory physics sequence at Washington University. Designed as an alternative to our traditional lecture-based sequence, the primary objectives for this new course were to actively engage students in the learning process, to significantly strengthen students' conceptual reasoning skills, to help students develop higher level quantitative problem solving skills necessary for analyzing ``real world'' problems, and to integrate modern physics into the curriculum. This talk will describe our approach, using The Six Ideas That Shaped Physics text by Thomas Moore, to creating an active learning environment in large classes as well as share our perspective on key elements for success and challenges that we face in the large class environment.
[Developing team reflexivity as a learning and working tool for medical teams].
Riskin, Arieh; Bamberger, Peter
2014-01-01
Team reflexivity is a collective activity in which team members review their previous work, and develop ideas on how to modify their work behavior in order to achieve better future results. It is an important learning tool and a key factor in explaining the varying effectiveness of teams. Team reflexivity encompasses both self-awareness and agency, and includes three main activities: reflection, planning, and adaptation. The model of briefing-debriefing cycles promotes team reflexivity. Its key elements include: Pre-action briefing--setting objectives, roles, and strategies the mission, as well as proposing adaptations based on what was previously learnt from similar procedures; Post-action debriefing--reflecting on the procedure performed and reviewing the extent to which objectives were met, and what can be learnt for future tasks. Given the widespread attention to team-based work systems and organizational learning, efforts should be made toward ntroducing team reflexivity in health administration systems. Implementation could be difficult because most teams in hospitals are short-lived action teams formed for a particular event, with limited time and opportunity to consciously reflect upon their actions. But it is precisely in these contexts that reflexive processes have the most to offer instead of the natural impulsive collective logics. Team reflexivity suggests a potential solution to the major problems of iatorgenesis--avoidable medical errors, as it forces all team members to participate in a reflexive process together. Briefing-debriefing technology was studied mainly in surgical teams and was shown to enhance team-based learning and to improve quality-related outcomes and safety.
Nyström, Monica
2009-01-01
Characteristics of health care organizations associated with an ability to learn from experiences and to develop and manage change were explored in this study. Understanding of these characteristics is necessary to identify factors influencing success in learning from the past and achieving future health care quality objectives. A literature review of the quality improvement, strategic organizational development and change management, organizational learning, and microsystems fields identified 20 organizational characteristics, grouped under (a) organizational systems, (b) key actors, and (c) change management processes. Qualitative methods, using interviews, focus group reports, and archival records, were applied to find associations between identified characteristics and 6 Swedish health care units externally evaluated as delivering high-quality care. Strong support for a characteristic was defined as units having more than 4 sources describing the characteristic as an important success factor. Eighteen characteristics had strong support from at least 2 units. The strongest evidence was found for the following: (i) key actors have long-term commitment, provide support, and make sense of ambiguous situations; (ii) organizational systems encourage employee commitment, participation, and involvement; and (iii) change management processes are employed systematically. Based on the results, a new model of "characteristics associated with learning and development in health care organizations" is proposed.
Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition.
Grossberg, Stephen
2007-01-01
A key goal of computational neuroscience is to link brain mechanisms to behavioral functions. The present article describes recent progress towards explaining how laminar neocortical circuits give rise to biological intelligence. These circuits embody two new and revolutionary computational paradigms: Complementary Computing and Laminar Computing. Circuit properties include a novel synthesis of feedforward and feedback processing, of digital and analog processing, and of preattentive and attentive processing. This synthesis clarifies the appeal of Bayesian approaches but has a far greater predictive range that naturally extends to self-organizing processes. Examples from vision and cognition are summarized. A LAMINART architecture unifies properties of visual development, learning, perceptual grouping, attention, and 3D vision. A key modeling theme is that the mechanisms which enable development and learning to occur in a stable way imply properties of adult behavior. It is noted how higher-order attentional constraints can influence multiple cortical regions, and how spatial and object attention work together to learn view-invariant object categories. In particular, a form-fitting spatial attentional shroud can allow an emerging view-invariant object category to remain active while multiple view categories are associated with it during sequences of saccadic eye movements. Finally, the chapter summarizes recent work on the LIST PARSE model of cognitive information processing by the laminar circuits of prefrontal cortex. LIST PARSE models the short-term storage of event sequences in working memory, their unitization through learning into sequence, or list, chunks, and their read-out in planned sequential performance that is under volitional control. LIST PARSE provides a laminar embodiment of Item and Order working memories, also called Competitive Queuing models, that have been supported by both psychophysical and neurobiological data. These examples show how variations of a common laminar cortical design can embody properties of visual and cognitive intelligence that seem, at least on the surface, to be mechanistically unrelated.
The Role of Self-Assessment in Promoting Iranian EFL Learners' Motivation
ERIC Educational Resources Information Center
Birjandi, Parviz; Tamjid, Nasrin Hadidi
2010-01-01
During the last decade, increasing attention has been paid to the role of learner in the process of language learning and testing. Moreover, there is a general consensus in the literature that motivation is one of the key learner characteristics. The objective of this study was to explore the role of journal writing as a self-assessment technique…
ERIC Educational Resources Information Center
Hilty, Donald M.; Hales, Deborah J.; Briscoe, Greg; Benjamin, Sheldon; Boland, Robert J.; Luo, John S.; Chan, Carlyle H.; Kennedy, Robert S.; Karlinsky, Harry; Gordon, Daniel B.; Yager, Joel; Yellowlees, Peter M.
2006-01-01
Objective: This article provides a brief overview of important issues for educators regarding medical education and technology. Methods: The literature describes key concepts, prototypical technology tools, and model programs. A work group of psychiatric educators was convened three times by phone conference to discuss the literature. Findings…
ERIC Educational Resources Information Center
Ivala, Eunice; Kioko, Joseph
2013-01-01
South Africa is currently faced with the challenge of undesirably low through put rates in higher education. The need to keep students interested and motivated to succeed are key objectives of many lecturers and institutions. Empirical studies have shown that one of the factors influencing student success at university is student engagement. This…
ERIC Educational Resources Information Center
Kasza, Paul; Slater, Timothy F.
2017-01-01
Specialized secondary schools in the United States focusing on Science, Technology, Engineering, and Math (STEM) are becoming commonplace in the United States. Such schools are generally referred to by U.S. teachers as Academies. In a purposeful effort to provide a resource to educators building new STEM Academies, this study provides both a…
The nursing educator's role in e-learning: a literature review.
Koch, Lee F
2014-11-01
e-Learning is becoming more commonplace in nursing and healthcare professional education. Research has shown that e-learning can be just as effective at helping students achieve cognitive learning objectives as traditional face-to-face courses, provided that certain quality criteria are met. However, the decentralized, asynchronous nature of e-learning precludes spontaneous, personal interaction between the instructor and the learner. In addition to this, learning objectives in nursing and other healthcare professions are not only within the cognitive, but also within the affective and psychomotor domains. This article seeks to answer the following question: How does e-learning transform the role of nurse educators? Narrative literature review. A comprehensive database search was conducted using the English and German key words "teacher," "educator," "role," "e-learning," and "nursing" to identify literature that examined the role of (nurse) educators in e-learning. The search strategy resulted in the inclusion of 40 sources. The majority of the literature is expert opinion and examines the educator's role in e-learning from a theoretical point of view (n=30). There is a paucity of empirical research pertaining directly to the educator's role (n=10). Only four sources deal specifically with the nurse educator's role. The literature agrees on the need for a new role definition in light of e-learning. This role is more complex than the educator's traditional role. The literature does not provide any indication of how the educator's role can be adapted to the specific needs of online nurse education. There is a need for more empirical research on this subject. Copyright © 2014 Elsevier Ltd. All rights reserved.
The Impact of Blended Learning on Student Performance in a Cardiovascular Pharmacotherapy Course
McLaughlin, Jacqueline E.; Gharkholonarehe, Nastaran; Khanova, Julia; Deyo, Zach M.
2015-01-01
Objective. To examine student engagement with, perception of, and performance resulting from blended learning for venous thromboembolism in a required cardiovascular pharmacotherapy course for second-year students. Design. In 2013, key foundational content was packaged into an interactive online module for students to access prior to coming to class; class time was dedicated to active-learning exercises. Assessment. Students who accessed all online module segments participated in more in class clicker questions (p=0.043) and performed better on the examination (p=0.023). There was no difference in clicker participation or examination performance based on time of module access (prior to or after class). The majority of participants agreed or strongly agreed that foundational content learned prior to class, applied activities during class, and content-related questions in the online module greatly enhanced learning. Conclusion. This study highlights the importance of integrating online modules with classroom learning and the role of blended learning in improving academic performance. PMID:25861105
Retracted: Design Education in the Global Era
NASA Astrophysics Data System (ADS)
de Lobo, Theresa
The aim of this paper is to show the collaboration of design disciplines to instill a broader sense of design for students through intercultural service learning projects. While there are programs that are reinventing their curriculum, there are still several that follow the classic structure of a first year art foundation program with the final years concentrating on the desired discipline. The interactions at a global scale, has heightened the need for graduates to learn to interact more effectively with people from different cultures. This approach combines the concern of addressing a need for design in a real world situation, with learning how to understand culture, place, and experience through a collaborative project. Referencing a specific international service learning project, and drawing from literature on internationalization of education, this paper explores key concepts, learning objectives, methods, and challenges faced in addressing the need to prepare students for practice in an increasingly integrated workplace.
System Engineering the Space Infrared Interferometric Telescope (SPIRIT)
NASA Technical Reports Server (NTRS)
Hyde, Tristram T.; Leisawitz, David T.; Rinehart, Stephen
2007-01-01
The Space Infrared Interferometric Telescope (SPIRIT) was designed to accomplish three scientific objectives: (1) learn how planetary systems form from protostellar disks and how they acquire their inhomogeneous chemical composition; (2) characterize the family of extrasolar planetary systems by imaging the structure in debris disks to understand how and where planets of different types form; and (3) learn how high-redshift galaxies formed and merged to form the present-day population of galaxies. SPIRIT will accomplish these objectives through infrared observations with a two aperture interferometric instrument. This paper gives an overview of SPIRIT design and operation, and how the three design cycle concept study was completed. The error budget for several key performance values allocates tolerances to all contributing factors, and a performance model of the spacecraft plus instrument system demonstrates meeting those allocations with margin.
Grossberg, Stephen; Srinivasan, Karthik; Yazdanbakhsh, Arash
2015-01-01
How does the brain maintain stable fusion of 3D scenes when the eyes move? Every eye movement causes each retinal position to process a different set of scenic features, and thus the brain needs to binocularly fuse new combinations of features at each position after an eye movement. Despite these breaks in retinotopic fusion due to each movement, previously fused representations of a scene in depth often appear stable. The 3D ARTSCAN neural model proposes how the brain does this by unifying concepts about how multiple cortical areas in the What and Where cortical streams interact to coordinate processes of 3D boundary and surface perception, spatial attention, invariant object category learning, predictive remapping, eye movement control, and learned coordinate transformations. The model explains data from single neuron and psychophysical studies of covert visual attention shifts prior to eye movements. The model further clarifies how perceptual, attentional, and cognitive interactions among multiple brain regions (LGN, V1, V2, V3A, V4, MT, MST, PPC, LIP, ITp, ITa, SC) may accomplish predictive remapping as part of the process whereby view-invariant object categories are learned. These results build upon earlier neural models of 3D vision and figure-ground separation and the learning of invariant object categories as the eyes freely scan a scene. A key process concerns how an object's surface representation generates a form-fitting distribution of spatial attention, or attentional shroud, in parietal cortex that helps maintain the stability of multiple perceptual and cognitive processes. Predictive eye movement signals maintain the stability of the shroud, as well as of binocularly fused perceptual boundaries and surface representations. PMID:25642198
Grossberg, Stephen; Srinivasan, Karthik; Yazdanbakhsh, Arash
2014-01-01
How does the brain maintain stable fusion of 3D scenes when the eyes move? Every eye movement causes each retinal position to process a different set of scenic features, and thus the brain needs to binocularly fuse new combinations of features at each position after an eye movement. Despite these breaks in retinotopic fusion due to each movement, previously fused representations of a scene in depth often appear stable. The 3D ARTSCAN neural model proposes how the brain does this by unifying concepts about how multiple cortical areas in the What and Where cortical streams interact to coordinate processes of 3D boundary and surface perception, spatial attention, invariant object category learning, predictive remapping, eye movement control, and learned coordinate transformations. The model explains data from single neuron and psychophysical studies of covert visual attention shifts prior to eye movements. The model further clarifies how perceptual, attentional, and cognitive interactions among multiple brain regions (LGN, V1, V2, V3A, V4, MT, MST, PPC, LIP, ITp, ITa, SC) may accomplish predictive remapping as part of the process whereby view-invariant object categories are learned. These results build upon earlier neural models of 3D vision and figure-ground separation and the learning of invariant object categories as the eyes freely scan a scene. A key process concerns how an object's surface representation generates a form-fitting distribution of spatial attention, or attentional shroud, in parietal cortex that helps maintain the stability of multiple perceptual and cognitive processes. Predictive eye movement signals maintain the stability of the shroud, as well as of binocularly fused perceptual boundaries and surface representations.
The legacy of care as reflexive learning
García, Marta Rodríguez; Moya, Jose Luis Medina
2016-01-01
Abstract Objective: to analyze whether the tutor's use of reflexive strategies encourages the students to reflect. The goal is to discover what type of strategies can help to achieve this and how tutors and students behave in the practical context. Method: a qualitative and ethnographic focus was adopted. Twenty-seven students and 15 tutors from three health centers participated. The latter had received specific training on reflexive clinical tutoring. The analysis was developed through constant comparisons of the categories. Results: the results demonstrate that the tutors' use of reflexive strategies such as didactic questioning, didactic empathy and pedagogical silence contributes to encourage the students' reflection and significant learning. Conclusions: reflexive practice is key to tutors' training and students' learning. PMID:27305180
Rube, Kate; Veatch, Maggie; Huang, Katy; Lent, Megan; Goldstein, Gail P.; Lee, Karen K.
2014-01-01
Local health departments (LHDs) have a key role to play in developing built environment policies and programs to encourage physical activity and combat obesity and related chronic diseases. However, information to guide LHDs’ effective engagement in this arena is lacking. During 2011–2012, the New York City Department of Health and Mental Hygiene (DOHMH) facilitated a built environment peer mentoring program for 14 LHDs nationwide. Program objectives included supporting LHDs in their efforts to achieve built environment goals, offering examples from DOHMH’s built environment work to guide LHDs, and building a healthy built environment learning network. We share lessons learned that can guide LHDs in developing successful healthy built environment agendas. PMID:24625166
de Oliveira, Saionara Nunes; do Prado, Marta Lenise; Kempfer, Silvana Silveira; Martini, Jussara Gue; Caravaca-Morera, Jaime Alonso; Bernardi, Mariely Carmelina
2015-02-01
This was an action research study conducted during an undergraduate nursing course. The objective was to propose and implement experiential learning for nursing consultation education using clinical simulation with actors. The 4 steps of action research were followed: planning, action, observation and reflection. Three nursing undergraduate students participated in the study. Data were collected in May and July 2013 via participant comments and interviews and were analyzed in accordance with the operative proposal for qualitative data analysis. Planning included constructing and validating the clinical guides, selecting and training the actors, organizing and preparing the scenario and the issuing invitations to the participants. The action was carried out according to Kolb's (1984) 4 stages of learning cycles: Concrete Experience, Reflective Observation, Abstract Conceptualization and Active Experimentation. Clinical simulation involves different subjects' participation in all stages, and action research is a method that enables the clinical stimulation to be implemented. It must be guided by clear learning objectives and by a critical pedagogy that encourages critical thinking in students. Using actors and a real scenario facilitated psychological fidelity, and debriefing was the key moment of the reflective process that facilitated the integral training of students through experiential learning. Copyright © 2014 Elsevier Ltd. All rights reserved.
Saul: Towards Declarative Learning Based Programming
Kordjamshidi, Parisa; Roth, Dan; Wu, Hao
2015-01-01
We present Saul, a new probabilistic programming language designed to address some of the shortcomings of programming languages that aim at advancing and simplifying the development of AI systems. Such languages need to interact with messy, naturally occurring data, to allow a programmer to specify what needs to be done at an appropriate level of abstraction rather than at the data level, to be developed on a solid theory that supports moving to and reasoning at this level of abstraction and, finally, to support flexible integration of these learning and inference models within an application program. Saul is an object-functional programming language written in Scala that facilitates these by (1) allowing a programmer to learn, name and manipulate named abstractions over relational data; (2) supporting seamless incorporation of trainable (probabilistic or discriminative) components into the program, and (3) providing a level of inference over trainable models to support composition and make decisions that respect domain and application constraints. Saul is developed over a declaratively defined relational data model, can use piecewise learned factor graphs with declaratively specified learning and inference objectives, and it supports inference over probabilistic models augmented with declarative knowledge-based constraints. We describe the key constructs of Saul and exemplify its use in developing applications that require relational feature engineering and structured output prediction. PMID:26635465
Saul: Towards Declarative Learning Based Programming.
Kordjamshidi, Parisa; Roth, Dan; Wu, Hao
2015-07-01
We present Saul , a new probabilistic programming language designed to address some of the shortcomings of programming languages that aim at advancing and simplifying the development of AI systems. Such languages need to interact with messy, naturally occurring data, to allow a programmer to specify what needs to be done at an appropriate level of abstraction rather than at the data level, to be developed on a solid theory that supports moving to and reasoning at this level of abstraction and, finally, to support flexible integration of these learning and inference models within an application program. Saul is an object-functional programming language written in Scala that facilitates these by (1) allowing a programmer to learn, name and manipulate named abstractions over relational data; (2) supporting seamless incorporation of trainable (probabilistic or discriminative) components into the program, and (3) providing a level of inference over trainable models to support composition and make decisions that respect domain and application constraints. Saul is developed over a declaratively defined relational data model, can use piecewise learned factor graphs with declaratively specified learning and inference objectives, and it supports inference over probabilistic models augmented with declarative knowledge-based constraints. We describe the key constructs of Saul and exemplify its use in developing applications that require relational feature engineering and structured output prediction.
ERIC Educational Resources Information Center
Msangya, Benedicto William; Mkoma, Stelyus L.; Yihuan, Wang
2016-01-01
Education is the key to development; however, it is impossible to think the quality of education without having academically qualified and professional responsible teachers. The main objective of this study was to examine the perspectives of undergraduate student teachers toward teaching practice experience as a tool of learning to teach. A…
ERIC Educational Resources Information Center
Gelade, Sue; Stehlik, Tom; Willis, Peter
2006-01-01
This project developed in response to the national research priority of the role of vocational education and training (VET) in building economic and social capital in regions and communities. Several key streams of work have been identified in relation to this objective, including regional segmentation, indicators and performance measures, and…
ERIC Educational Resources Information Center
Gallingane, Caitlin; Han, Heejeong Sophia
2015-01-01
One of the key objectives of childhood education is to build empathy and understanding in students. Young children with the ability to comprehend and regulate their own emotions--and empathize with the emotions and experiences of others--go on to achieve greater learning outcomes and more positive relationships than children who do not develop…
ERIC Educational Resources Information Center
Rowe, Jan; Herrera, Maria; Hughes, Bernie; Cawley, Michael
2012-01-01
There has been much debate about the development of a suitably qualified workforce to deliver the objectives of the Key Stage 2 language learning entitlement in England. The model of a skilled primary languages subject leader, working in collaboration with enthusiastic generalist class teachers is emerging as a consistent preference. Relatively…
Fallon, K E; Trevitt, A C
2006-01-01
Objectives To investigate issues of curriculum in the context of a postgraduate sports medicine training programme, specifically in the field of clinical biochemistry and haematology. Methods Following the Delphi methodology, a series of sequential questionnaires was administered to curriculum developers, clinical teachers, examiners, and registrars. Results Agreement on a core syllabus for this subject with an indication of the core aims and objectives of teaching and learning in this field and the associated required skills and competencies. An indication of current and ideal teaching and learning methods and reasons for these preferences. A consensus of key features of a teaching module for this field and of appropriate methods of examination. Conclusions The data derived from this study, as well as the experience of engaging in it, will better inform curriculum developers, teachers, and students of one another's perceptions as to what is important in and appropriate to teaching and learning in this field of sports medicine. Engagement in the exercise and broader consideration of the outcomes by those who develop the curriculum, teach, and formulate the examination process will facilitate attainment of the ideal of well aligned teaching, learning, and examination in this specific field. PMID:16432001
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex
Leibo, Joel Z.; Liao, Qianli; Anselmi, Fabio; Poggio, Tomaso
2015-01-01
Is visual cortex made up of general-purpose information processing machinery, or does it consist of a collection of specialized modules? If prior knowledge, acquired from learning a set of objects is only transferable to new objects that share properties with the old, then the recognition system’s optimal organization must be one containing specialized modules for different object classes. Our analysis starts from a premise we call the invariance hypothesis: that the computational goal of the ventral stream is to compute an invariant-to-transformations and discriminative signature for recognition. The key condition enabling approximate transfer of invariance without sacrificing discriminability turns out to be that the learned and novel objects transform similarly. This implies that the optimal recognition system must contain subsystems trained only with data from similarly-transforming objects and suggests a novel interpretation of domain-specific regions like the fusiform face area (FFA). Furthermore, we can define an index of transformation-compatibility, computable from videos, that can be combined with information about the statistics of natural vision to yield predictions for which object categories ought to have domain-specific regions in agreement with the available data. The result is a unifying account linking the large literature on view-based recognition with the wealth of experimental evidence concerning domain-specific regions. PMID:26496457
eLearning: Is There a Place in Athletic Training Education?
Wright, Kenneth E.; Stewart, Jeffrey; Wright, Vivian H.; Barker, Scott
2002-01-01
Objective: To provide an overview of current issue and research literature that discusses the use of eLearning in an academic curriculum. We address several components to be examined before eLearning is incorporated into athletic training education. Data Sources: We searched MEDLINE and Educational Resources Information Center (ERIC) from 2000 through 2002 using the key words distance education, online learning, and the individual research studies referenced in this article. Data Synthesis: Educational research studies have confirmed that multiple methods in instruction delivery exist. Within the changing culture of higher education, the use of effective communication tools has been shown to increase student knowledge and skills. Through eLearning, methods of instruction design are designed to be student centered and allow the educator to become a facilitator. Conclusions/Recommendations: Even though the use of eLearning faces many challenges in athletic training education, the research literature does support this method of instructional delivery in selected courses in athletic training education. PMID:12937546
eLearning: Is There a Place in Athletic Training Education?
Wright, Kenneth E; Stewart, Jeffrey; Wright, Vivian H; Barker, Scott
2002-12-01
OBJECTIVE: To provide an overview of current issue and research literature that discusses the use of eLearning in an academic curriculum. We address several components to be examined before eLearning is incorporated into athletic training education. DATA SOURCES: We searched MEDLINE and Educational Resources Information Center (ERIC) from 2000 through 2002 using the key words distance education, online learning, and the individual research studies referenced in this article. DATA SYNTHESIS: Educational research studies have confirmed that multiple methods in instruction delivery exist. Within the changing culture of higher education, the use of effective communication tools has been shown to increase student knowledge and skills. Through eLearning, methods of instruction design are designed to be student centered and allow the educator to become a facilitator. CONCLUSIONS/RECOMMENDATIONS: Even though the use of eLearning faces many challenges in athletic training education, the research literature does support this method of instructional delivery in selected courses in athletic training education.
Clinical learning environment at Shiraz Medical School.
Rezaee, Rita; Ebrahimi, Sedigheh
2013-01-01
Clinical learning occurs in the context of a dynamic environment. Learning environment found to be one of the most important factors in determining the success of an effective teaching program. To investigate, from the attending and resident's perspective, factors that may affect student leaning in the educational hospital setting at Shiraz University of Medical Sciences (SUMS). This study combined qualitative and quantitative methods to determine factors affecting effective learning in clinical setting. Residents evaluated the perceived effectiveness of the university hospital learning environment. Fifty two faculty members and 132 residents participated in this study. Key determinants that contribute to an effective clinical teaching were autonomy, supervision, social support, workload, role clarity, learning opportunity, work diversity and physical facilities. In a good clinical setting, residents should be appreciated and given appropriate opportunities to study in order to meet their objectives. They require a supportive environment to consolidate their knowledge, skills and judgment. © 2013 Tehran University of Medical Sciences. All rights reserved.
Field Testing of Utility Robots for Lunar Surface Operations
NASA Technical Reports Server (NTRS)
Fong, Terrence; Bualat, Maria; Deans, Matt; Allan, Mark; Bouyssounouse, Xavier; Broxton, Michael; Edwards, Laurence; Lee, Pascal; Lee, Susan Y.; Lees, David;
2008-01-01
Since 2004, NASA has been working to return to the Moon. In contrast to the Apollo missions, two key objectives of the current exploration program is to establish significant infrastructure and an outpost. Achieving these objectives will enable long-duration stays and long-distance exploration of the Moon. To do this, robotic systems will be needed to perform tasks which cannot, or should not, be performed by crew alone. In this paper, we summarize our work to develop "utility robots" for lunar surface operations, present results and lessons learned from field testing, and discuss directions for future research.
Multi-objective optimization of radiotherapy: distributed Q-learning and agent-based simulation
NASA Astrophysics Data System (ADS)
Jalalimanesh, Ammar; Haghighi, Hamidreza Shahabi; Ahmadi, Abbas; Hejazian, Hossein; Soltani, Madjid
2017-09-01
Radiotherapy (RT) is among the regular techniques for the treatment of cancerous tumours. Many of cancer patients are treated by this manner. Treatment planning is the most important phase in RT and it plays a key role in therapy quality achievement. As the goal of RT is to irradiate the tumour with adequately high levels of radiation while sparing neighbouring healthy tissues as much as possible, it is a multi-objective problem naturally. In this study, we propose an agent-based model of vascular tumour growth and also effects of RT. Next, we use multi-objective distributed Q-learning algorithm to find Pareto-optimal solutions for calculating RT dynamic dose. We consider multiple objectives and each group of optimizer agents attempt to optimise one of them, iteratively. At the end of each iteration, agents compromise the solutions to shape the Pareto-front of multi-objective problem. We propose a new approach by defining three schemes of treatment planning created based on different combinations of our objectives namely invasive, conservative and moderate. In invasive scheme, we enforce killing cancer cells and pay less attention about irradiation effects on normal cells. In conservative scheme, we take more care of normal cells and try to destroy cancer cells in a less stressed manner. The moderate scheme stands in between. For implementation, each of these schemes is handled by one agent in MDQ-learning algorithm and the Pareto optimal solutions are discovered by the collaboration of agents. By applying this methodology, we could reach Pareto treatment plans through building different scenarios of tumour growth and RT. The proposed multi-objective optimisation algorithm generates robust solutions and finds the best treatment plan for different conditions.
Design and Evaluation of a Cross-Cultural Training System
NASA Technical Reports Server (NTRS)
Santarelli, Thomas; Stagl, Kevin C.
2011-01-01
Cross-cultural competency, and the underlying communication and affective skills required to develop such expertise, is becoming increasingly important for a wide variety of domains. To address this need, we developed a blended learning platform which combines virtual role-play with tutorials, assessment and feedback. A Middle-Eastern Curriculum (MEC) exemplar for cross-cultural training U.S. military personnel was developed to guide the refinement of an existing game-based training platform. To complement this curriculum, we developed scenario authoring tools to enable end-users to define training objectives, link performance measures and feedback/remediation to these objectives, and deploy experiential scenarios within a game-based virtual environment (VE). Lessons learned from the design and development of this exemplar cross-cultural competency curriculum, as well as formative evaluation results, are discussed. Initial findings suggest that the underlying training technology promotes deep levels of semantic processing of the key information of relevant cultural and communication skills.
DOE Office of Scientific and Technical Information (OSTI.GOV)
DuBrul, E.F.; Lewis N.; Mesteller, P.
Many of the goals and performance objectives for elementary science deal with hands-on experiences such as observing the characteristics of living things, sorting and classifying, and measuring and recording data. Ideal environments for learning episodes that can foster these objectives are zoos and parks or nature preserves. This poster describes a program that uses the University faculty, local master elementary teachers, and Zoo staff and facilities to: (1) educate K-6 teachers about zoology, ecology, and evolution, (2) provide practical, on-site learning exercises as examples of how teachers can develop zoo visits that will be true learning experiences, (3) help themore » participants develop zoo-related exercises of classroom use, (4) show the participants the behind-the scenes work that goes on at a zoo, and (5) establish a close rapport between the teachers and a large group of professional resource persons. We present the results of evaluations and follow-up interviews, and we note the key features of this program and suggest how our experience may be used by other partnerships.« less
Higher-order neural network software for distortion invariant object recognition
NASA Technical Reports Server (NTRS)
Reid, Max B.; Spirkovska, Lilly
1991-01-01
The state-of-the-art in pattern recognition for such applications as automatic target recognition and industrial robotic vision relies on digital image processing. We present a higher-order neural network model and software which performs the complete feature extraction-pattern classification paradigm required for automatic pattern recognition. Using a third-order neural network, we demonstrate complete, 100 percent accurate invariance to distortions of scale, position, and in-plate rotation. In a higher-order neural network, feature extraction is built into the network, and does not have to be learned. Only the relatively simple classification step must be learned. This is key to achieving very rapid training. The training set is much smaller than with standard neural network software because the higher-order network only has to be shown one view of each object to be learned, not every possible view. The software and graphical user interface run on any Sun workstation. Results of the use of the neural software in autonomous robotic vision systems are presented. Such a system could have extensive application in robotic manufacturing.
A new vision for distance learning and continuing medical education.
Harden, Ronald M
2005-01-01
Increasing demands on continuing medical education (CME) are taking place at a time of significant developments in educational thinking and new learning technologies. Such developments allow today's CME providers to better meet the CRISIS criteria for effective continuing education: convenience, relevance, individualization, self-assessment, independent learning, and a systematic approach. The International Virtual Medical School (IVIMEDS) provides a case study that illustrates how rapid growth of the Internet and e-learning can alter undergraduate education and has the potential to alter the nature of CME. Key components are a bank of reusable learning objects, a virtual practice with virtual patients, a learning-outcomes framework, and self-assessment instruments. Learning is facilitated by a curriculum map, guided-learning resources, "ask-the-expert" opportunities, and collaborative or peer-to-peer learning. The educational philosophy is "just-for-you" learning (learning customized to the content, educational strategy, and distribution needs of the individual physician) and "just-in-time" learning (learning resources available to physicians when they are required). Implications of the new learning technologies are profound. E-learning provides a bridge between the cutting edge of education and training and outdated procedures embedded in institutions and professional organizations. There are important implications, too, for globalization in medical education, for multiprofessional education, and for the continuum of education from undergraduate to postgraduate and continuing education.
ERIC Educational Resources Information Center
Cedefop - European Centre for the Development of Vocational Training, 2017
2017-01-01
European policy-making in vocational education and training (VET) needs to be supported by sound evidence. In this report, Cedefop has selected 36 indicators to quantify key aspects of VET and lifelong learning. The selection is based on their policy relevance and their importance in achieving the Europe 2020 objectives. The report accounts for…
Low-Income Community Solar: Utility Return Considerations for Electric Cooperatives
DOE Office of Scientific and Technical Information (OSTI.GOV)
Aznar, Alexandra Y; Gagne, Douglas A
The objective of this short report is to identify project structures that make low-income community solar projects more cost-effective, replicable, and scalable, for electric cooperative and municipal utilities. This report explores the tradeoffs between providing energy bill savings for low-income subscribers and utility project returns, as well as some of the key lessons learned from existing successful low-income community solar pilot projects.
Possibilities and Expectations for mHealth in the Pacific Islands: Insights From Key Informants
McCool, Judith; Whittaker, Robyn
2016-01-01
Background The increase in mobile phone use across the globe is creating mounting interest for its application in addressing health system constraints. Although still limited, there is growing evidence of success in using mobile phones for health (mHealth) in low- and middle- income countries. The promise of mHealth to address key health system issues presents a huge potential for the Pacific Island countries where mobile use has radically increased. Current projections indicate an improved information and communications technology (ICT) environment to support greater access to mobile and digital devices in the Pacific region. Objective The objective of the study was to explore key stakeholder perspectives on the potential for mHealth in the Pacific region. Methods A series of in-depth interviews were conducted either face-to-face, via Skype or by email, with a series of key informants from the Pacific Rim region. Interviews were audio-recorded and later transcribed for detailed thematic analysis. Results We found widespread support for the potential to use mobile phones as a mechanism to facilitate improved health service delivery in the region. Essential elements for the successful development and implementation of mHealth were identified by these stakeholders. These included: developing an understanding of the local context and the problems that may be usefully addressed by the addition of mHealth to existing strategies and services; consideration of local infrastructure, capability, policy, mobile literacy and engagement; learning from others, particularly other low- and middle-income countries (LMICs); the importance of building supportive environments and of evaluation to provide evidence of impact and total cost. Conclusions The rapid growth of mobile phone use in the region presents a unique juxtaposition of opportunity and promise. Though the region lags behind other LMICs in the adoption of mHealth technologies, this offers the convenience of learning from past mHealth interventions and applying these learnings to achieve scale, sustainability and success. This study deepens the understanding of the potential of mHealth for the region, and offers a baseline from which discussions can be made to examine the limitations, barriers and complexities inherent in mHealth applications. PMID:26792386
Negotiating energy dynamics through embodied action in a materially structured environment
NASA Astrophysics Data System (ADS)
Scherr, Rachel E.; Close, Hunter G.; Close, Eleanor W.; Flood, Virginia J.; McKagan, Sarah B.; Robertson, Amy D.; Seeley, Lane; Wittmann, Michael C.; Vokos, Stamatis
2013-12-01
We provide evidence that a learning activity called Energy Theater engages learners with key conceptual issues in the learning of energy, including disambiguating matter flow and energy flow and theorizing mechanisms for energy transformation. A participationist theory of learning, in which learning is indicated by changes in speech and behavior, supports ethnographic analysis of learners’ embodied interactions with each other and the material setting. We conduct detailed analysis to build plausible causal links between specific features of Energy Theater and the conceptual engagement that we observe. Disambiguation of matter and energy appears to be promoted especially by the material structure of the Energy Theater environment, in which energy is represented by participants, while objects are represented by areas demarcated by loops of rope. Theorizing mechanisms of energy transformation is promoted especially by Energy Theater’s embodied action, which necessitates modeling the time ordering of energy transformations.
Students' and teachers' perceptions: initial achievements of a Project-Based Engineering School
NASA Astrophysics Data System (ADS)
Terrón-López, María-José; Velasco-Quintana, Paloma-Julia; García-García, María-José; Ocampo, Jared R.
2017-11-01
A unified academic model based on the project-based learning (PBL) methodology was implemented, in the 2012-2013 period, in the School of Engineering at Universidad Europea de Madrid. The purpose of this paper is to explore whether teachers and students participating in the capstone projects feel that the objectives for which this methodology was designed for are being achieved. The data were collected through interviews to participants at the end of the PBL experience. The results are encouraging, as students seem to be more motivated, and they say that they are experiencing deeper learning, and have developed key competitive skills required for their professional lives. Findings also suggest that teachers face positively the PBL as a learning approach since they perceive that students obtain a deeper learning, develop transversal skills with the projects and are more engaged with their studies. Implications and recommendations for the future of the model are also discussed.
Cónsul-Giribet, María; Medina-Moya, José Luis
2014-01-01
OBJECTIVE: to identify competency strengths and weaknesses as perceived by nursing professionals who graduated with a integrated curriculum and competency-based through Problem Based Learning in small groups. METHOD: an intrinsic case study method was used, which analyzes this innovation through former students (from the first class) with three years of professional experience. The data were collected through a questionnaire and discussion groups. RESULTS: the results show that their competency level is valued in a very satisfactory manner. This level paradoxically contrasts with the lack of theoretical knowledge they perceived at the end of their education, when they started working in clinical practice. CONCLUSIONS: the teaching strategy was key to motivate an in-depth study and arouse the desire to know. In addition, Problem Based Learning favors and reinforces the decision to learn, which is that necessary in the course of professional life. PMID:25493666
Benefits of Teaching Medical Students How to Communicate with Patients Having Serious Illness
Ellman, Matthew S.; Fortin, Auguste H.
2012-01-01
Innovative approaches are needed to teach medical students effective and compassionate communication with seriously ill patients. We describe two such educational experiences in the Yale Medical School curriculum for third-year medical students: 1) Communicating Difficult News Workshop and 2) Ward-Based End-of-Life Care Assignment. These two programs address educational needs to teach important clinical communication and assessment skills to medical students that previously were not consistently or explicitly addressed in the curriculum. The two learning programs share a number of educational approaches driven by the learning objectives, the students’ development, and clinical realities. Common educational features include: experiential learning, the Biopsychosocial Model, patient-centered communication, integration into clinical clerkships, structured skill-based learning, self-reflection, and self-care. These shared features ― as well as some differences ― are explored in this paper in order to illustrate key issues in designing and implementing medical student education in these areas. PMID:22737055
NASA Astrophysics Data System (ADS)
Bai, Ting; Sun, Kaimin; Deng, Shiquan; Chen, Yan
2018-03-01
High resolution image change detection is one of the key technologies of remote sensing application, which is of great significance for resource survey, environmental monitoring, fine agriculture, military mapping and battlefield environment detection. In this paper, for high-resolution satellite imagery, Random Forest (RF), Support Vector Machine (SVM), Deep belief network (DBN), and Adaboost models were established to verify the possibility of different machine learning applications in change detection. In order to compare detection accuracy of four machine learning Method, we applied these four machine learning methods for two high-resolution images. The results shows that SVM has higher overall accuracy at small samples compared to RF, Adaboost, and DBN for binary and from-to change detection. With the increase in the number of samples, RF has higher overall accuracy compared to Adaboost, SVM and DBN.
Haryu, Etsuko; Zhao, Lihua
2007-10-01
Do non-native speakers of the Japanese language understand the symbolic values of Japanese onomatopoeia matching a voiced/unvoiced consonant with a big/small sound made by a big/small object? In three experiments, participants who were native speakers of Japanese, Japanese-learning Chinese, or Chinese without knowledge of the Japanese language were shown two pictures. One picture was of a small object making a small sound, such as a small vase being broken, and the other was of a big object making a big sound, such as a big vase being broken. Participants were presented with two novel onomatopoetic words with voicing contrasts, e.g.,/dachan/vs./tachan/, and were told that each word corresponded to one of the two pictures. They were then asked to match the words to the corresponding pictures. Chinese without knowledge of Japanese performed only at chance level, whereas Japanese and Japanese-learning Chinese successfully matched a voiced/unvoiced consonant with a big/small object respectively. The results suggest that the key to understanding the symbolic values of voicing contrasts in Japanese onomatopoeia is some basic knowledge that is intrinsic to the Japanese language.
Konstantinidis, Stathis Th; Wharrad, Heather; Windle, Richard; Bamidis, Panagiotis D
2017-01-01
The knowledge existing in the World Wide Web is exponentially expanding, while continuous advancements in health sciences contribute to the creation of new knowledge. There are a lot of efforts trying to identify how the social connectivity can endorse patients' empowerment, while other studies look at the identification and the quality of online materials. However, emphasis has not been put on the big picture of connecting the existing resources with the patients "new habits" of learning through their own Personal Learning Networks. In this paper we propose a framework for empowering patients' digital health literacy adjusted to patients' currents needs by utilizing the contemporary way of learning through Personal Learning Networks, existing high quality learning resources and semantics technologies for interconnecting knowledge pieces. The framework based on the concept of knowledge maps for health as defined in this paper. Health Digital Literacy needs definitely further enhancement and the use of the proposed concept might lead to useful tools which enable use of understandable health trusted resources tailored to each person needs.
Mahan, John D; Stein, David S
2014-07-01
It is important in teaching adults to recognize the essential characteristics of adult learners and how these characteristics define their learning priorities and activities. The seven key premises and practices for teaching adults provide a good guide for those interested in helping adults learn. The emerging science of the neurobiology of learning provides powerful new insights into how learning occurs in the complex integrated neural network that characterizes the adult. Differentiation of the two types of thinking: System 1 (fast, intuitive, and, often, emotional) and System 2 (slower, deliberate, and logical). System 1 thinking helps explain the basis for quick decisions and reliance of humans on heuristics (or rules of thumb) that leads to the type of convenient thinking associated with errors of thinking and judgment. We now know that the learning experience has an objective location-in the temporal and parietal lobes-as persistent dynamic networks of neurons and neuronal connections. Learning is initially stored in transient working memory (relatively limited capacity and time frame) and then moved under the right conditions to more long-lasting/stable memory (with larger capacity) that is stored for future access and development. It is clear that memories are not static and are not destined, once developed, to forever remain as stable constructs; rather, memories are dynamic, always available for modulation and alteration, and heavily invested with context, emotion, and other operant factors. The framework for such neural networks involves new neuronal connections, enhanced neuronal synaptic transmission, and neuron generation. Ten key teaching and learning concepts derived from recent neurobiology studies on learning and memory are presented. As the neurobiology of learning is better defined, the basis for how adults best learn, and even the preferences they display, can be employed as the physiological foundation for our best methods to effectively teach adults and facilitate their learning. Copyright © 2014 Mosby, Inc. All rights reserved.
Ellman, Matthew S; Fortin, Auguste H
2012-06-01
Innovative approaches are needed to teach medical students effective and compassionate communication with seriously ill patients. We describe two such educational experiences in the Yale Medical School curriculum for third-year medical students: 1) Communicating Difficult News Workshop and 2) Ward-Based End-of-Life Care Assignment. These two programs address educational needs to teach important clinical communication and assessment skills to medical students that previously were not consistently or explicitly addressed in the curriculum. The two learning programs share a number of educational approaches driven by the learning objectives, the students' development, and clinical realities. Common educational features include: experiential learning, the Biopsychosocial Model, patient-centered communication, integration into clinical clerkships, structured skill-based learning, self-reflection, and self-care. These shared features - as well as some differences - are explored in this paper in order to illustrate key issues in designing and implementing medical student education in these areas.
MFV-class: a multi-faceted visualization tool of object classes.
Zhang, Zhi-meng; Pan, Yun-he; Zhuang, Yue-ting
2004-11-01
Classes are key software components in an object-oriented software system. In many industrial OO software systems, there are some classes that have complicated structure and relationships. So in the processes of software maintenance, testing, software reengineering, software reuse and software restructure, it is a challenge for software engineers to understand these classes thoroughly. This paper proposes a class comprehension model based on constructivist learning theory, and implements a software visualization tool (MFV-Class) to help in the comprehension of a class. The tool provides multiple views of class to uncover manifold facets of class contents. It enables visualizing three object-oriented metrics of classes to help users focus on the understanding process. A case study was conducted to evaluate our approach and the toolkit.
Hydrogen Fuel Cell Analysis: Lessons Learned from Stationary Power Generation Final Report
DOE Office of Scientific and Technical Information (OSTI.GOV)
Scott E. Grasman; John W. Sheffield; Fatih Dogan
2010-04-30
This study considered opportunities for hydrogen in stationary applications in order to make recommendations related to RD&D strategies that incorporate lessons learned and best practices from relevant national and international stationary power efforts, as well as cost and environmental modeling of pathways. The study analyzed the different strategies utilized in power generation systems and identified the different challenges and opportunities for producing and using hydrogen as an energy carrier. Specific objectives included both a synopsis/critical analysis of lessons learned from previous stationary power programs and recommendations for a strategy for hydrogen infrastructure deployment. This strategy incorporates all hydrogen pathways andmore » a combination of distributed power generating stations, and provides an overview of stationary power markets, benefits of hydrogen-based stationary power systems, and competitive and technological challenges. The motivation for this project was to identify the lessons learned from prior stationary power programs, including the most significant obstacles, how these obstacles have been approached, outcomes of the programs, and how this information can be used by the Hydrogen, Fuel Cells & Infrastructure Technologies Program to meet program objectives primarily related to hydrogen pathway technologies (production, storage, and delivery) and implementation of fuel cell technologies for distributed stationary power. In addition, the lessons learned address environmental and safety concerns, including codes and standards, and education of key stakeholders.« less
Melis, Theodore S.; Walters, Carl; Korman, Josh
2015-01-01
With a focus on resources of the Colorado River ecosystem below Glen Canyon Dam, the Glen Canyon Dam Adaptive Management Program has included a variety of experimental policy tests, ranging from manipulation of water releases from the dam to removal of non-native fish within Grand Canyon National Park. None of these field-scale experiments has yet produced unambiguous results in terms of management prescriptions. But there has been adaptive learning, mostly from unanticipated or surprising resource responses relative to predictions from ecosystem modeling. Surprise learning opportunities may often be viewed with dismay by some stakeholders who might not be clear about the purpose of science and modeling in adaptive management. However, the experimental results from the Glen Canyon Dam program actually represent scientific successes in terms of revealing new opportunities for developing better river management policies. A new long-term experimental management planning process for Glen Canyon Dam operations, started in 2011 by the U.S. Department of the Interior, provides an opportunity to refocus management objectives, identify and evaluate key uncertainties about the influence of dam releases, and refine monitoring for learning over the next several decades. Adaptive learning since 1995 is critical input to this long-term planning effort. Embracing uncertainty and surprise outcomes revealed by monitoring and ecosystem modeling will likely continue the advancement of resource objectives below the dam, and may also promote efficient learning in other complex programs.
Patients as educators: interprofessional learning for patient-centred care.
Towle, Angela; Godolphin, William
2013-01-01
Patients with chronic conditions have unique expertise that enhances interprofessional education. Although their active involvement in education is increasing, patients have minimal roles in key educational tasks. A model that brings patients and students together for patient-centred learning, with faculty playing a supportive role, has been described in theory but not yet implemented. To identify issues involved in creating an educational intervention designed and delivered by patients and document outcomes. An advisory group of community members, students and faculty guided development of the intervention (interprofessional workshops). Community educators (CEs) were recruited through community organizations with a healthcare mandate. Workshops were planned by teams of key stakeholders, delivered by CEs, and evaluated by post-workshop student questionnaires. Workshops were delivered by CEs with epilepsy, arthritis, HIV/AIDS and two groups with mental health problems. Roles and responsibilities of planning team members that facilitated control by CEs were identified. Ten workshops attended by 142 students from 15 different disciplines were all highly rated. Workshop objectives defined by CEs and student learning both closely matched dimensions of patient-centredness. Our work demonstrates feasibility and impact of an educational intervention led by patient educators facilitated but not controlled by faculty.
Linking actions and objects: Context-specific learning of novel weight priors.
Trewartha, Kevin M; Flanagan, J Randall
2017-06-01
Distinct explicit and implicit memory processes support weight predictions used when lifting objects and making perceptual judgments about weight, respectively. The first time that an object is encountered weight is predicted on the basis of learned associations, or priors, linking size and material to weight. A fundamental question is whether the brain maintains a single, global representation of priors, or multiple representations that can be updated in a context specific way. A second key question is whether the updating of priors, or the ability to scale lifting forces when repeatedly lifting unusually weighted objects requires focused attention. To investigate these questions we compared the adaptability of weight predictions used when lifting objects and judging their weights in different groups of participants who experienced size-weight inverted objects passively (with the objects placed on the hands) or actively (where participants lift the objects) under full or divided attention. To assess weight judgments we measured the size-weight illusion after every 20 trials of experience with the inverted objects both passively and actively. The attenuation of the illusion that arises when lifting inverted object was found to be context-specific such that the attenuation was larger when the mode of interaction with the inverted objects matched the method of assessment of the illusion. Dividing attention during interaction with the inverted objects had no effect on attenuation of the illusion, but did slow the rate at which lifting forces were scaled to the weight inverted objects. These findings suggest that the brain stores multiple representations of priors that are context specific, and that focused attention is important for scaling lifting forces, but not for updating weight predictions used when judging object weight. Copyright © 2017 Elsevier B.V. All rights reserved.
Computerized training management system
Rice, H.B.; McNair, R.C.; White, K.; Maugeri, T.
1998-08-04
A Computerized Training Management System (CTMS) is disclosed for providing a procedurally defined process that is employed to develop accreditable performance based training programs for job classifications that are sensitive to documented regulations and technical information. CTMS is a database that links information needed to maintain a five-phase approach to training-analysis, design, development, implementation, and evaluation independent of training program design. CTMS is designed using R-Base{trademark}, an-SQL compliant software platform. Information is logically entered and linked in CTMS. Each task is linked directly to a performance objective, which, in turn, is linked directly to a learning objective; then, each enabling objective is linked to its respective test items. In addition, tasks, performance objectives, enabling objectives, and test items are linked to their associated reference documents. CTMS keeps all information up to date since it automatically sorts, files and links all data; CTMS includes key word and reference document searches. 18 figs.
Computerized training management system
Rice, Harold B.; McNair, Robert C.; White, Kenneth; Maugeri, Terry
1998-08-04
A Computerized Training Management System (CTMS) for providing a procedurally defined process that is employed to develop accreditable performance based training programs for job classifications that are sensitive to documented regulations and technical information. CTMS is a database that links information needed to maintain a five-phase approach to training-analysis, design, development, implementation, and evaluation independent of training program design. CTMS is designed using R-Base.RTM., an-SQL compliant software platform. Information is logically entered and linked in CTMS. Each task is linked directly to a performance objective, which, in turn, is linked directly to a learning objective; then, each enabling objective is linked to its respective test items. In addition, tasks, performance objectives, enabling objectives, and test items are linked to their associated reference documents. CTMS keeps all information up to date since it automatically sorts, files and links all data; CTMS includes key word and reference document searches.
Campbell, David; Walters, Lucie; Couper, Ian; Greacen, Jane
2017-12-01
This article reports the findings from an international research workshop, held over 2 days in October 2014 in Bairnsdale, Australia, which brought together 19 clinician teachers and medical educators who work in rural primary care. The objectives of the workshop were to clarify and identify the key aspects of the development of clinical reasoning in students and junior doctors, particularly as a result of longitudinal immersion in rural community practice. Delegates were asked to prepare a 55-word vignette related to their experience of teaching clinical reasoning, and these case studies formed the basis of identification of key issues, further refined via a modified Delphi process. The workshop identified four key themes: the patient’s story, the learner’s reasoning, the context of learning, and the role of the supervisor. Exposure to undifferentiated patient presentations is increasingly common in medical education, particularly in longitudinal integrated placements. This research explored clinicians’ perspectives of how students develop their clinical reasoning: by learning from patients, from their supervisors and by understanding the context of their clinical interactions.  .
ERIC Educational Resources Information Center
Lehman, Rosemary
2007-01-01
This chapter looks at the development and nature of learning objects, meta-tagging standards and taxonomies, learning object repositories, learning object repository characteristics, and types of learning object repositories, with type examples. (Contains 1 table.)
ERIC Educational Resources Information Center
Pepin, Luce
2007-01-01
In 2007, the EU is celebrating both the 50th Anniversary of the Treaty of Rome and the 20 years of existence of its flagship programme, Erasmus, thus recalling that the EU is more than its economic, agricultural or monetary policies and that it develops also as a community of peoples. Education has a key role to play in this respect. This article…
Better Care Teams: A Stepwise Skill Reinforcement Model.
Christopher, Beth-Anne; Grantner, Mary; Coke, Lola A; Wideman, Marilyn; Kwakwa, Francis
2016-06-01
The Building Healthy Urban Communities initiative presents a path for organizations partnering to improve patient outcomes with continuing education (CE) as a key component. Components of the CE initiative included traditional CE delivery formats with an essential element of adaptability and new methods, with rigorous evaluation over time that included evaluation prior to the course, immediately following the CE session, 6 to 8 weeks after the CE session, and then subsequent monthly "testlets." Outcome measures were designed to allow for ongoing adaptation of content, reinforcement of key learning objectives, and use of innovative concordant testing and retrieval practice techniques. The results after 1 year of programming suggest the stepwise skill reinforcement model is effective for learning and is an efficient use of financial and human resources. More important, its design is one that could be adopted at low cost by organizations willing to work in close partnership. J Contin Educ Nurs. 2016;47(6):283-288. Copyright 2016, SLACK Incorporated.
Social learning by following: an analysis1
Bullock, Daniel; Neuringer, Allen
1977-01-01
Learning by “following”, probably a common means by which behaviors are socially transmitted from adults to young in many species, was analyzed. Pigeons first learned to eat from a human hand. When the hand then approached an operant key and pecked it, the pigeons followed and quickly learned to do the same, thereby demonstrating social learning. When the hand only led the birds to the area of the key, without demonstrating the key-peck response, the birds learned as rapidly as with a key-peck demonstration. Birds also learned, but less reliably and more slowly, when they could observe the hand's responses but were constrained and unable to follow. “Following” was also shown to engender very rapid learning of a more complex, two-member response chain. PMID:16811970
Mere exposure alters category learning of novel objects.
Folstein, Jonathan R; Gauthier, Isabel; Palmeri, Thomas J
2010-01-01
We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning.
Mere Exposure Alters Category Learning of Novel Objects
Folstein, Jonathan R.; Gauthier, Isabel; Palmeri, Thomas J.
2010-01-01
We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of how statistical learning can influence visual object learning. PMID:21833209
Team-based Learning in Therapeutics Workshop Sessions
Kelley, Katherine A.; Metzger, Anne H.; Bellebaum, Katherine L.; McAuley, James W.
2009-01-01
Objectives To implement team-based learning in the workshop portion of a pathophysiology and therapeutics sequence of courses to promote integration of concepts across the pharmacy curriculum, provide a consistent problem-solving approach to patient care, and determine the impact on student perceptions of professionalism and teamwork. Design Team-based learning was incorporated into the workshop portion of 3 of 6 pathophysiology and therapeutics courses. Assignments that promoted team-building and application of key concepts were created. Assessment Readiness assurance tests were used to assess individual and team understanding of course materials. Students consistently scored 20% higher on team assessments compared with individual assessments. Mean professionalism and teamwork scores were significantly higher after implementation of team-based learning; however, this improvement was not considered educationally significant. Approximately 91% of students felt team-based learning improved understanding of course materials and 93% of students felt teamwork should continue in workshops. Conclusion Team-based learning is an effective teaching method to ensure a consistent approach to problem-solving and curriculum integration in workshop sessions for a pathophysiology and therapeutics course sequence. PMID:19885069
Book club elective to facilitate student learning of the patient experience with chronic disease.
Plake, Kimberly S
2010-04-12
To evaluate the impact of a book club experience on pharmacy students' learning about chronic illness. Students read autobiographies/biographies regarding the patient experience of chronic illness. Similar to a traditional book club, small group discussions were held based on questions submitted by students. Other activities included written reflections, a final paper, and an oral presentation. A retrospective pretest and posttest were administered at the end of the course. Students indicated improvement in the key aspects of the course with significant differences (p < 0.01) between retrospective pretest and posttest scores for all course objectives assessed. Students also indicated that the course contributed to their development as pharmacists, motivated them to learn about new topics, and helped them reconsider their attitudes. A book club elective course was successful in helping students understand the patient experience.
Rethinking construction: inclusion of slow learners as taker-off in quantity surveying practice
NASA Astrophysics Data System (ADS)
Majid, Masidah Abdul; Ashaari, Norul Izzati M.; @ Suhana Kamarudin Nurul Aini Osman, Suhaida; Suhaimi, Mohamad Saifulnizam Mohd
2017-11-01
The objective of this paper is to present the preliminary findings regarding the participation of OKU with learning disability in Science Technology, Engineering and Mathematics (STEM) sectors. Review of the works of past researchers suggested that OKU is a potential workforce in STEM sectors but still under-represented due to lack of efforts from stakeholders and learning institutions in providing information on the opportunities that are available. A research has been initiated to explore the potential of slow learners to become workforce in the construction industry as a taker off - part of work of a Quantity Surveyor. Against the findings from the literature review, the modest attempt to attract slow learners to become taker off in the construction industry require the formulation of appropriate learning environment and strong support from the respective key players and stakeholders.
Learning "While" Working: Success Stories on Workplace Learning in Europe
ERIC Educational Resources Information Center
Lardinois, Rocio
2011-01-01
Cedefop's report "Learning while working: success stories on workplace learning in Europe" presents an overview of key trends in adult learning in the workplace. It takes stock of previous research carried out by Cedefop between 2003 and 2010 on key topics for adult learning: governance and the learning regions; social partner roles in…
Colomer, Carla; Berenguer, Carmen; Roselló, Belén; Baixauli, Inmaculada; Miranda, Ana
2017-01-01
Children diagnosed with attention deficit/hyperactivity disorder (ADHD) are at risk of experiencing lower academic achievement compared to their peers without ADHD. However, we have a limited understanding of the mechanisms underlying this association. Both the symptoms of the disorder and the executive functions can negatively influence learning behaviors, including motivation, attitude toward learning, or persistence, key aspects of the learning process. The first objective of this study was to compare different components of learning behaviors in children diagnosed with ADHD and typically developing (TD) children. The second objective was to analyze the relationships among learning behaviors, executive functioning, and symptoms of hyperactivity/impulsivity in both groups. Participants were 35 children diagnosed with ADHD and 37 with TD (7–11 years old), matched on age and IQ. The teachers filled out the Behavior Rating Inventory of Executive Function (BRIEF) and the Learning Behaviors Scale, which evaluates Competence/motivation, Attitude toward learning, Attention/persistence, and Strategy/flexibility. In addition, parents and teachers filled out the DSM-5 diagnostic criteria for ADHD. ANOVAs showed significant differences between children with ADHD and TD children on all the learning behaviors. Moreover, in both the ADHD and TD groups, the behavioral regulation index of the BRIEF predicted the search for strategies, and the metacognition index was a good predictor of motivation. However, attitude toward learning was predicted by metacognition only in the group with ADHD. Therefore, the executive functions had greater power than the typical symptoms of inattention and hyperactivity/impulsivity in predicting learning behaviors of children with ADHD. The findings are in line with other studies that support the influence of the executive functions on performance, highlighting the importance of including their development as a top priority from early ages in the school setting in order to strengthen learning behaviors. PMID:28446885
Learning Organisations--Reengineering Schools for Life Long Learning.
ERIC Educational Resources Information Center
O'Sullivan, Fergus
1997-01-01
Examines some key ideas behind the learning organization and explains why the concept is so powerful in contemporary contexts. Identifies various types of learning organizations, and suggests an analytical technique for relating styles of organizational learning to the environmental context. The key to becoming a learning organization is…
Key Themes in Mobile Learning: Prospects for Learner-Generated Learning through AR and VR
ERIC Educational Resources Information Center
Aguayo, Claudio; Cochrane, Thomas; Narayan, Vickel
2017-01-01
This paper summarises the findings from a literature review in mobile learning, developed as part of a 2-year six-institution project in New Zealand. Through the development of a key themes codebook, we address selected key themes with respect to their relevance to learner-generated learning through emerging technologies, with attention to mobile…
Designing an oral health module for the Bachelor of Midwifery program at an Australian University.
Duff, Margaret; Dahlen, Hannah G; Burns, Elaine; Priddis, Holly; Schmied, Virginia; George, Ajesh
2017-03-01
Maternal oral health is important yet many pregnant women are unaware of its significance. Midwives are advised to promote oral health during pregnancy and are supported to do this in Australia through the Midwifery Initiated Oral Health training program. However, limited undergraduate education is being provided to midwifery students in this area. The objective of this paper is to describe how an innovative oral health education module for an undergraduate midwifery course in Australia was designed using a multidisciplinary approach. Midwives experienced in curriculum development and key investigators from the Midwifery Initiated Oral Health program designed the module using existing literature. Constructive alignment, blended learning and scaffolding were used in the design process. The draft module was then reviewed by midwifery academics and their feedback incorporated. The final module involves 4 h of teaching and learning and contains three components incorporated into first year course units. Each component is aligned with existing learning outcomes and incorporates blended learning approaches and tutorials/class activities as well as online quizzes and personal reflection. The module details key information (current evidence; basic anatomy/physiology; common oral conditions; and guidelines during pregnancy) that could better prepare students to promote oral health in clinical practice. This is the first time such an innovative, multidisciplinary approach has been undertaken embedding oral health in an undergraduate midwifery program in Australia. Copyright © 2017 Elsevier Ltd. All rights reserved.
Credit assignment in movement-dependent reinforcement learning
Boggess, Matthew J.; Crossley, Matthew J.; Parvin, Darius; Ivry, Richard B.; Taylor, Jordan A.
2016-01-01
When a person fails to obtain an expected reward from an object in the environment, they face a credit assignment problem: Did the absence of reward reflect an extrinsic property of the environment or an intrinsic error in motor execution? To explore this problem, we modified a popular decision-making task used in studies of reinforcement learning, the two-armed bandit task. We compared a version in which choices were indicated by key presses, the standard response in such tasks, to a version in which the choices were indicated by reaching movements, which affords execution failures. In the key press condition, participants exhibited a strong risk aversion bias; strikingly, this bias reversed in the reaching condition. This result can be explained by a reinforcement model wherein movement errors influence decision-making, either by gating reward prediction errors or by modifying an implicit representation of motor competence. Two further experiments support the gating hypothesis. First, we used a condition in which we provided visual cues indicative of movement errors but informed the participants that trial outcomes were independent of their actual movements. The main result was replicated, indicating that the gating process is independent of participants’ explicit sense of control. Second, individuals with cerebellar degeneration failed to modulate their behavior between the key press and reach conditions, providing converging evidence of an implicit influence of movement error signals on reinforcement learning. These results provide a mechanistically tractable solution to the credit assignment problem. PMID:27247404
Credit assignment in movement-dependent reinforcement learning.
McDougle, Samuel D; Boggess, Matthew J; Crossley, Matthew J; Parvin, Darius; Ivry, Richard B; Taylor, Jordan A
2016-06-14
When a person fails to obtain an expected reward from an object in the environment, they face a credit assignment problem: Did the absence of reward reflect an extrinsic property of the environment or an intrinsic error in motor execution? To explore this problem, we modified a popular decision-making task used in studies of reinforcement learning, the two-armed bandit task. We compared a version in which choices were indicated by key presses, the standard response in such tasks, to a version in which the choices were indicated by reaching movements, which affords execution failures. In the key press condition, participants exhibited a strong risk aversion bias; strikingly, this bias reversed in the reaching condition. This result can be explained by a reinforcement model wherein movement errors influence decision-making, either by gating reward prediction errors or by modifying an implicit representation of motor competence. Two further experiments support the gating hypothesis. First, we used a condition in which we provided visual cues indicative of movement errors but informed the participants that trial outcomes were independent of their actual movements. The main result was replicated, indicating that the gating process is independent of participants' explicit sense of control. Second, individuals with cerebellar degeneration failed to modulate their behavior between the key press and reach conditions, providing converging evidence of an implicit influence of movement error signals on reinforcement learning. These results provide a mechanistically tractable solution to the credit assignment problem.
Interoperability Gap Challenges for Learning Object Repositories & Learning Management Systems
ERIC Educational Resources Information Center
Mason, Robert T.
2011-01-01
An interoperability gap exists between Learning Management Systems (LMSs) and Learning Object Repositories (LORs). Learning Objects (LOs) and the associated Learning Object Metadata (LOM) that is stored within LORs adhere to a variety of LOM standards. A common LOM standard found in LORs is the Sharable Content Object Reference Model (SCORM)…
Managing clinical education through understanding key principles.
Cunningham, Joanne; Wright, Caroline; Baird, Marilyn
2015-01-01
Traditionally, a practicum facilitated the integration of on-campus learning and practical workplace training. Over the past 3 decades, an educative practicum has evolved that promotes clinical reasoning, including analytical and evaluative abilities, through reflective practice. Anecdotal evidence indicates that the delivery of clinical education within medical radiation science entry-level programs continues to vacillate between traditional practicums and the new reflective practicums. To review the literature about clinical education within the medical radiation sciences and identify key principles for practitioners seeking to reflect upon and improve their approach to teaching and supporting students in the clinical environment. A search of 3 major journal databases, Internet searches, and hand searches of reference lists were conducted to identify literature about clinical education in the medical radiation sciences from January 1, 2000, to December 31, 2012. Twenty-two studies were included in this review. The 5 key elements associated with clinical education include the clinical support model and quality, overcoming the theory-practice gap, learning outcomes and reliable and valid assessment, preparing and supporting students, and accommodating differing teaching and learning needs. Many factors influence the quality of clinical education, including the culture of the clinical environment and clinical leadership roles. Several approaches can help students bridge the theory-practice gap, including simulators, role-playing activities, and reflective journals. In addition, clinical educators should use assessment strategies that objectively measure student progress, and they should be positive role models for their students. The successful clinical education of students in the medical radiation sciences depends upon the systems, structures, and people in the clinical environment. Clinical education is accomplished through the collaborative efforts of the clinical practitioner, the academic, and the student. Universities should include introductory material on clinical learning and teaching in their radiologic science curriculum.
Miller, Rachael; Jelbert, Sarah A; Taylor, Alex H; Cheke, Lucy G; Gray, Russell D; Loissel, Elsa; Clayton, Nicola S
2016-01-01
The ability to reason about causality underlies key aspects of human cognition, but the extent to which non-humans understand causality is still largely unknown. The Aesop's Fable paradigm, where objects are inserted into water-filled tubes to obtain out-of-reach rewards, has been used to test casual reasoning in birds and children. However, success on these tasks may be influenced by other factors, specifically, object preferences present prior to testing or arising during pre-test stone-dropping training. Here, we assessed this 'object-bias' hypothesis by giving New Caledonian crows and 5-10 year old children two object-choice Aesop's Fable experiments: sinking vs. floating objects, and solid vs. hollow objects. Before each test, we assessed subjects' object preferences and/or trained them to prefer the alternative object. Both crows and children showed pre-test object preferences, suggesting that birds in previous Aesop's Fable studies may also have had initial preferences for objects that proved to be functional on test. After training to prefer the non-functional object, crows, but not children, performed more poorly on these two object-choice Aesop's Fable tasks than subjects in previous studies. Crows dropped the non-functional objects into the tube on their first trials, indicating that, unlike many children, they do not appear to have an a priori understanding of water displacement. Alternatively, issues with inhibition could explain their performance. The crows did, however, learn to solve the tasks over time. We tested crows further to determine whether their eventual success was based on learning about the functional properties of the objects, or associating dropping the functional object with reward. Crows inserted significantly more rewarded, non-functional objects than non-rewarded, functional objects. These findings suggest that the ability of New Caledonian crows to produce performances rivaling those of young children on object-choice Aesop's Fable tasks is partly due to pre-existing object preferences.
Castle, John C; Chalmers, Iain; Atkinson, Patricia; Badenoch, Douglas; Oxman, Andrew D; Austvoll-Dahlgren, Astrid; Nordheim, Lena; Krause, L Kendall; Schwartz, Lisa M; Woloshin, Steven; Burls, Amanda; Mosconi, Paola; Hoffmann, Tammy; Cusack, Leila; Albarqouni, Loai; Glasziou, Paul
2017-01-01
People are frequently confronted with untrustworthy claims about the effects of treatments. Uncritical acceptance of these claims can lead to poor, and sometimes dangerous, treatment decisions, and wasted time and money. Resources to help people learn to think critically about treatment claims are scarce, and they are widely scattered. Furthermore, very few learning-resources have been assessed to see if they improve knowledge and behavior. Our objectives were to develop the Critical thinking and Appraisal Resource Library (CARL). This library was to be in the form of a database containing learning resources for those who are responsible for encouraging critical thinking about treatment claims, and was to be made available online. We wished to include resources for groups we identified as 'intermediaries' of knowledge, i.e. teachers of schoolchildren, undergraduates and graduates, for example those teaching evidence-based medicine, or those communicating treatment claims to the public. In selecting resources, we wished to draw particular attention to those resources that had been formally evaluated, for example, by the creators of the resource or independent research groups. CARL was populated with learning-resources identified from a variety of sources-two previously developed but unmaintained inventories; systematic reviews of learning-interventions; online and database searches; and recommendations by members of the project group and its advisors. The learning-resources in CARL were organised by 'Key Concepts' needed to judge the trustworthiness of treatment claims, and were made available online by the James Lind Initiative in Testing Treatments interactive (TTi) English (www.testingtreatments.org/category/learning-resources).TTi English also incorporated the database of Key Concepts and the Claim Evaluation Tools developed through the Informed Healthcare Choices (IHC) project (informedhealthchoices.org). We have created a database of resources called CARL, which currently contains over 500 open-access learning-resources in a variety of formats: text, audio, video, webpages, cartoons, and lesson materials. These are aimed primarily at 'Intermediaries', that is, 'teachers', 'communicators', 'advisors', 'researchers', as well as for independent 'learners'. The resources included in CARL are currently accessible at www.testingtreatments.org/category/learning-resources. We hope that ready access to CARL will help to promote the critical thinking about treatment claims, needed to help improve healthcare choices.
Whitehouse, Carl R; O'Neill, Paul; Dornan, Tim
2002-08-01
Newly qualified doctors require an appropriate level of confidence for their new roles. Development of this confidence was a key objective in the final year of a new integrated course with an emphasis on student self-direction. There are 5 placements in the final year course. Students use a Learning Planner to help them choose suitable placements and objectives to serve their learning needs. Educational supervision focuses on helping students determine their objectives and assessing them against these. Course evaluation was by means of a questionnaire during final assessments. Cohorts of 310 and 316 students in successive years completed the evaluation. The interrelationship between variables was explored using logistic regression. 220/310 students in the 2000 cohort and 214/316 in the 2001 cohort agreed they felt confident with their prospective role as a pre-registration house officer (PRHO). Confidence was significantly associated with confidence in their clinical skills, belief in their ability to cope with uncertainty and feeling able to work as a team member. The experience of the 2 hospital placements and (in 2000 only) the elective was associated with increased confidence. In all placements helpful educational supervision and the achievement of the self-directed learning plan was associated with increased confidence as a potential doctor. Students perceive a relationship between learning experiences in the final year of a self-directed course and development of confidence for their future role. Whilst further elucidation of the nature of this relationship is required, this provides encouragement to curriculum planners to promote self-direction.
Rannikko, Irina; Jääskeläinen, Erika; Miettunen, Jouko; Ahmed, Anthony O; Veijola, Juha; Remes, Anne M; Murray, Graham K; Husa, Anja P; Järvelin, Marjo-Riitta; Isohanni, Matti; Haapea, Marianne
2016-01-01
Several social life events and challenges have an impact on cognitive development. Our goal was to analyze the predictors of change in cognitive performance in early midlife in a general population sample. Additionally, systematic literature review was performed. The study sample was drawn from the Northern Finland Birth Cohort 1966 at the ages of 34 and 43 years. Primary school performance, sociodemographic factors and body mass index (BMI) were used to predict change in cognitive performance measured by the California Verbal Learning Test, Visual Object Learning Test, and Abstraction Inhibition and Working Memory task. Analyses were weighted by gender and education, and p-values were corrected for multiple comparisons using Benjamini-Hochberg procedure (B-H). Male gender predicted decrease in episodic memory. Poor school marks of practical subjects, having no children, and increase in BMI were associated with decrease in episodic memory, though non-significantly after B-H. Better school marks, and higher occupational class were associated with preserved performance in visual object learning. Higher vocational education predicted preserved performance in visual object learning test, though non-significantly after B-H. Likewise, having children predicted decreased performance in executive functioning but non-significantly after B-H. Adolescent cognitive ability, change in BMI and several sociodemographic factors appear to predict cognitive changes in early midlife. The key advantage of present study is the exploration of possible predictors of change in cognitive performance among general population in the early midlife, a developmental period that has been earlier overlooked.
NASA Astrophysics Data System (ADS)
Park, Jisun; Song, Jinwoong; Abrahams, Ian
2016-03-01
This study explored, from the perspective of intellectual passion developed by Michael Polanyi, the unintended learning that occurred in primary practical science lessons. We use the term `unintended' learning to distinguish it from `intended' learning that appears in teachers' learning objectives. Data were collected using video and audio recordings of a sample of twenty-four whole class practical science lessons, taught by five teachers, in Korean primary schools with 10- to 12-year-old students. In addition, video and audio recordings were made for each small group of students working together in order to capture their activities and intra-group discourse. Pre-lesson interviews with the teachers were undertaken and audio-recorded to ascertain their intended learning objectives. Selected key vignettes, including unintended learning, were analysed from the perspective of intellectual passion developed by Polanyi. What we found in this study is that unintended learning could occur when students got interested in something in the first place and could maintain their interest. In addition, students could get conceptual knowledge when they tried to connect their experience to their related prior knowledge. It was also found that the processes of intended learning and of unintended learning were different. Intended learning was characterized by having been planned by the teacher who then sought to generate students' interest in it. In contrast, unintended learning originated from students' spontaneous interest and curiosity as a result of unplanned opportunities. Whilst teachers' persuasive passion comes first in the process of intended learning, students' heuristic passion comes first in the process of unintended learning. Based on these findings, we argue that teachers need to be more aware that unintended learning, on the part of individual students, can occur during their lesson and to be able to better use this opportunity so that this unintended learning can be shared by the whole class. Furthermore, we argue that teachers' deliberate action and a more interactive classroom culture are necessary in order to allow students to develop, in addition to heuristic passion, persuasive passion towards their unintended learning.
Learning to Learn: A Key-Competence for All Adults?!
ERIC Educational Resources Information Center
Hofmann, Peter
2008-01-01
Learning to learn is important and increasingly vital for people trying to deal with a rapidly changing world! Or, in the words of the European Union, learning to learn is one of the eight "key competences that citizens require for their personal fulfilment, social inclusion, active citizenship and employability in our knowledge-based…
Irvine, Susan; Williams, Brett; McKenna, Lisa
2017-03-01
Near Peer teaching (NPT) is reported as an effective pedagogical approach to student learning and performance. Studies in medicine, nursing and health sciences have relied mainly on self-reports to describe its benefits, focusing on psychomotor and cognitive aspects of learning. Despite increasing research reports on peer teaching internationally, little is known about the various domains of learning used in assessment of performance and objective learning outcomes of NPT. To determine the domains of learning and assessment outcomes used in NPT in undergraduate health professional education. Quantitative systematic review was conducted in accord with the PRISMA protocol and the Joanna Briggs Institute processes. A wide literature search was conducted for the period 1990-November 2015 of fourteen databases. Grey literature was undertaken from all key research articles. Studies meeting the inclusion criteria were eligible for consideration, including measured learning outcomes of near-peer teaching in undergraduate education in nursing, medicine and health sciences. Set limitations included publications after 1990 (2015 inclusive), English language and objective learning outcomes. A quality appraisal process involving two independent reviewers was used to analyse the data. Of 212 selected articles, 26 were included in the review. Terminology was confusing and found to be a barrier to the review process. Although some studies demonstrated effective learning outcomes resulting from near-peer teaching, others were inconclusive. Studies focused on cognitive and psychomotor abilities of learners with none assessing metacognition, affective behaviours or learning outcomes from quality of understanding. The studies reviewed focused on cognitive and psychomotor abilities of learners. Even though evidence clearly indicates that metacognition and affective behaviours have direct influence on learning and performance, indicating more research around this topic is warranted. Methodological quality of the studies and lack of theoretical frameworks underpinned by educational psychology may have contributed to inconsistencies in learning outcomes reported. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.
Nicklen, Peter; Keating, Jenny L; Paynter, Sophie; Storr, Michael; Maloney, Stephen
2016-01-01
Case-based learning (CBL) is an educational approach where students work in small, collaborative groups to solve problems. Computer assisted learning (CAL) is the implementation of computer technology in education. The purpose of this study was to compare the effects of a remote-online CBL (RO-CBL) with traditional face-to-face CBL on learning the outcomes of undergraduate physiotherapy students. Participants were randomized to either the control (face-to-face CBL) or to the CAL intervention (RO-CBL). The entire 3rd year physiotherapy cohort (n = 41) at Monash University, Victoria, Australia, were invited to participate in the randomized controlled trial. Outcomes included a postintervention multiple-choice test evaluating the knowledge gained from the CBL, a self-assessment of learning based on examinable learning objectives and student satisfaction with the CBL. In addition, a focus group was conducted investigating perceptions and responses to the online format. Thirty-eight students (control n = 19, intervention n = 19) participated in two CBL sessions and completed the outcome assessments. CBL median scores for the postintervention multiple-choice test were comparable (Wilcoxon rank sum P = 0.61) (median/10 [range] intervention group: 9 [8-10] control group: 10 [7-10]). Of the 15 examinable learning objectives, eight were significantly in favor of the control group, suggesting a greater perceived depth of learning. Eighty-four percent of students (16/19) disagreed with the statement "I enjoyed the method of CBL delivery." Key themes identified from the focus group included risks associated with the implementation of, challenges of communicating in, and flexibility offered, by web-based programs. RO-CBL appears to provide students with a comparable learning experience to traditional CBL. Procedural and infrastructure factors need to be addressed in future studies to counter student dissatisfaction and decreased perceived depth of learning.
Younger and Older Adults Weigh Multiple Cues in a Similar Manner to Generate Judgments of Learning
Hines, Jarrod C.; Hertzog, Christopher; Touron, Dayna R.
2015-01-01
One's memory for past test performance (MPT) is a key piece of information individuals use when deciding how to restudy material. We used a multi-trial recognition memory task to examine adult age differences in the influence of MPT (measured by actual Trial 1 memory accuracy and subjective confidence judgments, CJs) along with Trial 1 judgments of learning (JOLs), objective and participant-estimated recognition fluencies, and Trial 2 study time on Trial 2 JOLs. We found evidence of simultaneous and independent influences of multiple objective and subjective (i.e., metacognitive) cues on Trial 2 JOLs, and these relationships were highly similar for younger and older adults. Individual differences in Trial 1 recognition accuracy and CJs on Trial 2 JOLs indicate that individuals may vary in the degree to which they rely on each MPT cue when assessing subsequent memory confidence. Aging appears to spare the ability to access multiple cues when making JOLs. PMID:25827630
Adaptive structured dictionary learning for image fusion based on group-sparse-representation
NASA Astrophysics Data System (ADS)
Yang, Jiajie; Sun, Bin; Luo, Chengwei; Wu, Yuzhong; Xu, Limei
2018-04-01
Dictionary learning is the key process of sparse representation which is one of the most widely used image representation theories in image fusion. The existing dictionary learning method does not use the group structure information and the sparse coefficients well. In this paper, we propose a new adaptive structured dictionary learning algorithm and a l1-norm maximum fusion rule that innovatively utilizes grouped sparse coefficients to merge the images. In the dictionary learning algorithm, we do not need prior knowledge about any group structure of the dictionary. By using the characteristics of the dictionary in expressing the signal, our algorithm can automatically find the desired potential structure information that hidden in the dictionary. The fusion rule takes the physical meaning of the group structure dictionary, and makes activity-level judgement on the structure information when the images are being merged. Therefore, the fused image can retain more significant information. Comparisons have been made with several state-of-the-art dictionary learning methods and fusion rules. The experimental results demonstrate that, the dictionary learning algorithm and the fusion rule both outperform others in terms of several objective evaluation metrics.
Summary and Synthesis: How to Present a Research Proposal.
Setia, Maninder Singh; Panda, Saumya
2017-01-01
This concluding module attempts to synthesize the key learning points discussed during the course of the previous ten sets of modules on methodology and biostatistics. The objective of this module is to discuss how to present a model research proposal, based on whatever was discussed in the preceding modules. The lynchpin of a research proposal is the protocol, and the key component of a protocol is the study design. However, one must not neglect the other areas, be it the project summary through which one catches the eyes of the reviewer of the proposal, or the background and the literature review, or the aims and objectives of the study. Two critical areas in the "methods" section that cannot be emphasized more are the sampling strategy and a formal estimation of sample size. Without a legitimate sample size, none of the conclusions based on the statistical analysis would be valid. Finally, the ethical parameters of the study should be well understood by the researchers, and that should get reflected in the proposal.
Summary and Synthesis: How to Present a Research Proposal
Setia, Maninder Singh; Panda, Saumya
2017-01-01
This concluding module attempts to synthesize the key learning points discussed during the course of the previous ten sets of modules on methodology and biostatistics. The objective of this module is to discuss how to present a model research proposal, based on whatever was discussed in the preceding modules. The lynchpin of a research proposal is the protocol, and the key component of a protocol is the study design. However, one must not neglect the other areas, be it the project summary through which one catches the eyes of the reviewer of the proposal, or the background and the literature review, or the aims and objectives of the study. Two critical areas in the “methods” section that cannot be emphasized more are the sampling strategy and a formal estimation of sample size. Without a legitimate sample size, none of the conclusions based on the statistical analysis would be valid. Finally, the ethical parameters of the study should be well understood by the researchers, and that should get reflected in the proposal. PMID:28979004
Exploring User Learnability and Learning Performance in an App for Depression: Usability Study
Montague, Enid; Lattie, Emily G; Schueller, Stephen M; Kwasny, Mary J; Mohr, David C
2017-01-01
Background Mental health apps tend to be narrow in their functioning, with their focus mostly being on tracking, management, or psychoeducation. It is unclear what capability such apps have to facilitate a change in users, particularly in terms of learning key constructs relating to behavioral interventions. Thought Challenger (CBITs, Chicago) is a skill-building app that engages users in cognitive restructuring, a core component of cognitive therapy (CT) for depression. Objective The purpose of this study was to evaluate the learnability and learning performance of users following initial use of Thought Challenger. Methods Twenty adults completed in-lab usability testing of Thought Challenger, which comprised two interactions with the app. Learnability was measured via completion times, error rates, and psychologist ratings of user entries in the app; learning performance was measured via a test of CT knowledge and skills. Nonparametric tests were conducted to evaluate the difference between individuals with no or mild depression to those with moderate to severe depression, as well as differences in completion times and pre- and posttests. Results Across the two interactions, the majority of completion times were found to be acceptable (5 min or less), with minimal errors (1.2%, 10/840) and successful completion of CT thought records. Furthermore, CT knowledge and skills significantly improved after the initial use of Thought Challenger (P=.009). Conclusions The learning objectives for Thought Challenger during initial uses were successfully met in an evaluation with likely end users. The findings therefore suggest that apps are capable of providing users with opportunities for learning of intervention skills. PMID:28801301
Verschueren, Sabine M. P.; Degens, Hans; Morse, Christopher I.; Onambélé, Gladys L.
2017-01-01
Accurate monitoring of sedentary behaviour and physical activity is key to investigate their exact role in healthy ageing. To date, accelerometers using cut-off point models are most preferred for this, however, machine learning seems a highly promising future alternative. Hence, the current study compared between cut-off point and machine learning algorithms, for optimal quantification of sedentary behaviour and physical activity intensities in the elderly. Thus, in a heterogeneous sample of forty participants (aged ≥60 years, 50% female) energy expenditure during laboratory-based activities (ranging from sedentary behaviour through to moderate-to-vigorous physical activity) was estimated by indirect calorimetry, whilst wearing triaxial thigh-mounted accelerometers. Three cut-off point algorithms and a Random Forest machine learning model were developed and cross-validated using the collected data. Detailed analyses were performed to check algorithm robustness, and examine and benchmark both overall and participant-specific balanced accuracies. This revealed that the four models can at least be used to confidently monitor sedentary behaviour and moderate-to-vigorous physical activity. Nevertheless, the machine learning algorithm outperformed the cut-off point models by being robust for all individual’s physiological and non-physiological characteristics and showing more performance of an acceptable level over the whole range of physical activity intensities. Therefore, we propose that Random Forest machine learning may be optimal for objective assessment of sedentary behaviour and physical activity in older adults using thigh-mounted triaxial accelerometry. PMID:29155839
Wullems, Jorgen A; Verschueren, Sabine M P; Degens, Hans; Morse, Christopher I; Onambélé, Gladys L
2017-01-01
Accurate monitoring of sedentary behaviour and physical activity is key to investigate their exact role in healthy ageing. To date, accelerometers using cut-off point models are most preferred for this, however, machine learning seems a highly promising future alternative. Hence, the current study compared between cut-off point and machine learning algorithms, for optimal quantification of sedentary behaviour and physical activity intensities in the elderly. Thus, in a heterogeneous sample of forty participants (aged ≥60 years, 50% female) energy expenditure during laboratory-based activities (ranging from sedentary behaviour through to moderate-to-vigorous physical activity) was estimated by indirect calorimetry, whilst wearing triaxial thigh-mounted accelerometers. Three cut-off point algorithms and a Random Forest machine learning model were developed and cross-validated using the collected data. Detailed analyses were performed to check algorithm robustness, and examine and benchmark both overall and participant-specific balanced accuracies. This revealed that the four models can at least be used to confidently monitor sedentary behaviour and moderate-to-vigorous physical activity. Nevertheless, the machine learning algorithm outperformed the cut-off point models by being robust for all individual's physiological and non-physiological characteristics and showing more performance of an acceptable level over the whole range of physical activity intensities. Therefore, we propose that Random Forest machine learning may be optimal for objective assessment of sedentary behaviour and physical activity in older adults using thigh-mounted triaxial accelerometry.
Research-based active-learning instruction in physics
NASA Astrophysics Data System (ADS)
Meltzer, David E.; Thornton, Ronald K.
2013-04-01
The development of research-based active-learning instructional methods in physics has significantly altered the landscape of U.S. physics education during the past 20 years. Based on a recent review [D.E. Meltzer and R.K. Thornton, Am. J. Phys. 80, 478 (2012)], we define these methods as those (1) explicitly based on research in the learning and teaching of physics, (2) that incorporate classroom and/or laboratory activities that require students to express their thinking through speaking, writing, or other actions that go beyond listening and the copying of notes, or execution of prescribed procedures, and (3) that have been tested repeatedly in actual classroom settings and have yielded objective evidence of improved student learning. We describe some key features common to methods in current use. These features focus on (a) recognizing and addressing students' physics ideas, and (b) guiding students to solve problems in realistic physical settings, in novel and diverse contexts, and to justify or explain the reasoning they have used.
Simulation in laparoscopic surgery.
León Ferrufino, Felipe; Varas Cohen, Julián; Buckel Schaffner, Erwin; Crovari Eulufi, Fernando; Pimentel Müller, Fernando; Martínez Castillo, Jorge; Jarufe Cassis, Nicolás; Boza Wilson, Camilo
2015-01-01
Nowadays surgical trainees are faced with a more reduced surgical practice, due to legal limitations and work hourly constraints. Also, currently surgeons are expected to dominate more complex techniques such as laparoscopy. Simulation emerges as a complementary learning tool in laparoscopic surgery, by training in a safe, controlled and standardized environment, without jeopardizing patient' safety. Simulation' objective is that the skills acquired should be transferred to the operating room, allowing reduction of learning curves. The use of simulation has increased worldwide, becoming an important tool in different surgical residency programs and laparoscopic training courses. For several countries, the approval of these training courses are a prerequisite for the acquisition of surgeon title certifications. This article reviews the most important aspects of simulation in laparoscopic surgery, including the most used simulators and training programs, as well as the learning methodologies and the different key ways to assess learning in simulation. Copyright © 2013 AEC. Publicado por Elsevier España, S.L.U. All rights reserved.
VoPham, Trang; Hart, Jaime E; Laden, Francine; Chiang, Yao-Yi
2018-04-17
Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innovations in spatial science, artificial intelligence methods in machine learning (e.g., deep learning), data mining, and high-performance computing to extract knowledge from spatial big data. In environmental epidemiology, exposure modeling is a commonly used approach to conduct exposure assessment to determine the distribution of exposures in study populations. geoAI technologies provide important advantages for exposure modeling in environmental epidemiology, including the ability to incorporate large amounts of big spatial and temporal data in a variety of formats; computational efficiency; flexibility in algorithms and workflows to accommodate relevant characteristics of spatial (environmental) processes including spatial nonstationarity; and scalability to model other environmental exposures across different geographic areas. The objectives of this commentary are to provide an overview of key concepts surrounding the evolving and interdisciplinary field of geoAI including spatial data science, machine learning, deep learning, and data mining; recent geoAI applications in research; and potential future directions for geoAI in environmental epidemiology.
Melding Service Learning and Leadership Skills Development: Keys to Effective Course Design
ERIC Educational Resources Information Center
Lester, Scott W.
2015-01-01
The author presents keys to designing a class that successfully melds service learning and student leadership development. These prescriptions are based on the lessons learned over 8 years of teaching a class titled "Community Leadership." This class emphasizes experiential learning and revolves around service learning projects. The…
Intelligent Discovery for Learning Objects Using Semantic Web Technologies
ERIC Educational Resources Information Center
Hsu, I-Ching
2012-01-01
The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…
Machado, Armando; Pata, Paulo
2005-02-01
Two theories of timing, scalar expectancy theory (SET) and learning-to-time (LeT), make substantially different assumptions about what animals learn in temporal tasks. In a test of these assumptions, pigeons learned two temporal discriminations. On Type 1 trials, they learned to choose a red key after a 1-sec signal and a green key after a 4-sec signal; on Type 2 trials, they learned to choose a blue key after a 4-sec signal and a yellow key after either an 8-sec signal (Group 8) or a 16-sec signal (Group 16). Then, the birds were exposed to signals 1 sec, 4 sec, and 16 sec in length and given a choice between novel key combinations (red or green vs. blue or yellow). The choice between the green key and the blue key was of particular significance because both keys were associated with the same 4-sec signal. Whereas SET predicted no effect of the test signal duration on choice, LeT predicted that preference for green would increase monotonically with the length of the signal but would do so faster for Group 8 than for Group 16. The results were consistent with LeT, but not with SET.
NASA Astrophysics Data System (ADS)
Ollivier, Harold; Poulin, David; Zurek, Wojciech H.
2005-10-01
We study the role of the information deposited in the environment of an open quantum system in the course of the decoherence process. Redundant spreading of information—the fact that some observables of the system can be independently read off from many distinct fragments of the environment—is investigated as the key to effective objectivity, the essential ingredient of classical reality. This focus on the environment as a communication channel through which observers learn about physical systems underscores the importance of quantum Darwinism—selective proliferation of information about “the fittest states” chosen by the dynamics of decoherence at the expense of their superpositions—as redundancy imposes the existence of preferred observables. We demonstrate that the only observables that can leave multiple imprints in the environment are the familiar pointer observables singled out by environment-induced superselection (einselection) for their predictability. Many independent observers monitoring the environment will therefore agree on properties of the system as they can only learn about preferred observables. In this operational sense, the selective spreading of information leads to appearance of an objective classical reality from within the quantum substrate.
The impact of E-learning in medical education.
Ruiz, Jorge G; Mintzer, Michael J; Leipzig, Rosanne M
2006-03-01
The authors provide an introduction to e-learning and its role in medical education by outlining key terms, the components of e-learning, the evidence for its effectiveness, faculty development needs for implementation, evaluation strategies for e-learning and its technology, and how e-learning might be considered evidence of academic scholarship. E-learning is the use of Internet technologies to enhance knowledge and performance. E-learning technologies offer learners control over content, learning sequence, pace of learning, time, and often media, allowing them to tailor their experiences to meet their personal learning objectives. In diverse medical education contexts, e-learning appears to be at least as effective as traditional instructor-led methods such as lectures. Students do not see e-learning as replacing traditional instructor-led training but as a complement to it, forming part of a blended-learning strategy. A developing infrastructure to support e-learning within medical education includes repositories, or digital libraries, to manage access to e-learning materials, consensus on technical standardization, and methods for peer review of these resources. E-learning presents numerous research opportunities for faculty, along with continuing challenges for documenting scholarship. Innovations in e-learning technologies point toward a revolution in education, allowing learning to be individualized (adaptive learning), enhancing learners' interactions with others (collaborative learning), and transforming the role of the teacher. The integration of e-learning into medical education can catalyze the shift toward applying adult learning theory, where educators will no longer serve mainly as the distributors of content, but will become more involved as facilitators of learning and assessors of competency.
Bevilacqua, Frédéric; Boyer, Eric O; Françoise, Jules; Houix, Olivier; Susini, Patrick; Roby-Brami, Agnès; Hanneton, Sylvain
2016-01-01
This article reports on an interdisciplinary research project on movement sonification for sensori-motor learning. First, we describe different research fields which have contributed to movement sonification, from music technology including gesture-controlled sound synthesis, sonic interaction design, to research on sensori-motor learning with auditory-feedback. In particular, we propose to distinguish between sound-oriented tasks and movement-oriented tasks in experiments involving interactive sound feedback. We describe several research questions and recently published results on movement control, learning and perception. In particular, we studied the effect of the auditory feedback on movements considering several cases: from experiments on pointing and visuo-motor tracking to more complex tasks where interactive sound feedback can guide movements, or cases of sensory substitution where the auditory feedback can inform on object shapes. We also developed specific methodologies and technologies for designing the sonic feedback and movement sonification. We conclude with a discussion on key future research challenges in sensori-motor learning with movement sonification. We also point out toward promising applications such as rehabilitation, sport training or product design.
Role of expressive behaviour for robots that learn from people.
Breazeal, Cynthia
2009-12-12
Robotics has traditionally focused on developing intelligent machines that can manipulate and interact with objects. The promise of personal robots, however, challenges researchers to develop socially intelligent robots that can collaborate with people to do things. In the future, robots are envisioned to assist people with a wide range of activities such as domestic chores, helping elders to live independently longer, serving a therapeutic role to help children with autism, assisting people undergoing physical rehabilitation and much more. Many of these activities shall require robots to learn new tasks, skills and individual preferences while 'on the job' from people with little expertise in the underlying technology. This paper identifies four key challenges in developing social robots that can learn from natural interpersonal interaction. The author highlights the important role that expressive behaviour plays in this process, drawing on examples from the past 8 years of her research group, the Personal Robots Group at the MIT Media Lab.
NASA Astrophysics Data System (ADS)
Handhika, J.; Cari, C.; Sunarno, W.; Suparmi, A.; Kurniadi, E.
2018-05-01
This research revealed the influence of project-based learning (PjBL) to increasing the level of the conception. The research method used the pre-experimental design with one group pre-test post-test. PjBL applied to students of physics education program of IKIP PGRI Madiun (23 Students). The test used to determine the level of conception is multiple choice tests and index of certainty. Activities on PjBL described. Obtained that the PjBL model can increase the level of conception and Critical thinking skills with the average normalized gain 0.49 and 0.57 (Medium category). It can be concluded that the PjBL could improve the level of conception and critical thinking ability of the students. Implementation of each model phase following learning objectives and needs analysis is the key to improve both.
eDrug: a dynamic interactive electronic drug formulary for medical students
Maxwell, Simon R J; McQueen, Daniel S; Ellaway, Rachel
2006-01-01
What is already known about this subject Delivering education about an ever-increasing number of prescribable drugs to medical students represents a major challenge. Drug names are generally not logical or intuitive, and many students find learning them akin to learning a foreign language. Pharmacology and therapeutics teaching is struggling for visibility in some integrated medical curricula. What this study adds Development of electronic tools allowing web delivery of a restricted student formulary facilitates dynamic access to core learning materials, improves the profile of this aspect of the curriculum and is highly appreciated by students. Aims Prescribing drugs is a key responsibility of a doctor and requires a solid grounding in the relevant scientific disciplines of pharmacology and therapeutics (PT). The move away from basic science disciplines towards a more system-based and integrated undergraduate curriculum has created difficulties in the delivery of PT teaching in some medical schools. We aimed to develop a web-based strategy to overcome these problems and improve the PT learning experience. Methods We designed and introduced ‘eDrug’, a dynamic interactive web-based student formulary, as an aid to teaching and learning of PT throughout a 5-year integrated medical curriculum in a UK medical school of 1300 students. This was followed by a prospective observational study of student-reported views about its impact on their PT learning experience. Results eDrug was rated highly by students and staff, with the main benefits being increased visibility of PT in the curriculum, clear identification of core drugs, regular sourcing of drug information via direct links to accredited sources including the British National Formulary, prioritization of learning, immediate access and responsiveness. It has also served as a focus of discussion concerning core PT learning objectives amongst staff and students. Conclusions Web-based delivery of PT learning objectives actively supports learning within an integrated curriculum. PMID:17054667
ERIC Educational Resources Information Center
Kay, Robin H.; Knaack, Liesel
2009-01-01
Learning objects are interactive web-based tools that support the learning of specific concepts by enhancing, amplifying, and/or guiding the cognitive processes of learners. Research on the impact, effectiveness, and usefulness of learning objects is limited, partially because comprehensive, theoretically based, reliable, and valid evaluation…
Liberating Learning Object Design from the Learning Style of Student Instructional Designers
ERIC Educational Resources Information Center
Akpinar, Yavuz
2007-01-01
Learning objects are a new form of learning resource, and the design of these digital environments has many facets. To investigate senior instructional design students' use of reflection tools in designing learning objects, a series of studies was conducted using the Reflective Action Instructional Design and Learning Object Review Instrument…
Learning Objects and Gerontology
ERIC Educational Resources Information Center
Weinreich, Donna M.; Tompkins, Catherine J.
2006-01-01
Virtual AGE (vAGE) is an asynchronous educational environment that utilizes learning objects focused on gerontology and a learning anytime/anywhere philosophy. This paper discusses the benefits of asynchronous instruction and the process of creating learning objects. Learning objects are "small, reusable chunks of instructional media" Wiley…
Bajow, Nidaa; Djalali, Ahmadreza; Ingrassia, Pier Luigi; Ageely, Hussein; Bani, Ibrahim; Della Corte, Francesco
2015-01-01
Health professional preparedness is a key element of disaster response; overall there is a need for increased disaster medicine training worldwide. The objective of this study was to design and develop a curriculum in community-based disaster medicine for Saudi Arabian medical undergraduates. A structured five-step approach was used to develop a curriculum. Expert stakeholders from the Saudi Arabian and international disaster medicine communities were surveyed to determine objectives and content. Learning strategies were carefully considered to maximize participation and retention. Particular attention was paid to equipping learners with the teaching skills required to promote disaster preparedness in their local communities. The course consists of 2 weeks of classroom activities followed by 8 weeks of e-learning structured within five domains of disaster medicine. The curriculum introduces core principles in emergency medicine, public health, and disaster management. Simulations, experiential activities, case studies, and role-playing activities are all used to promote higher levels of cognitive engagement. Special content addresses the adult-learning process, and students design their own community-based seminars in disaster preparedness. The curriculum is designed to promote learning in disaster medicine. Given the paucity of disaster medicine educators in the region, student graduates of this program would be able to improve disaster preparedness in Saudi Arabia by launching their own community-based disaster preparedness initiatives. The program could also be adapted for use throughout the Middle East.
Segmentation and learning in the quantitative analysis of microscopy images
NASA Astrophysics Data System (ADS)
Ruggiero, Christy; Ross, Amy; Porter, Reid
2015-02-01
In material science and bio-medical domains the quantity and quality of microscopy images is rapidly increasing and there is a great need to automatically detect, delineate and quantify particles, grains, cells, neurons and other functional "objects" within these images. These are challenging problems for image processing because of the variability in object appearance that inevitably arises in real world image acquisition and analysis. One of the most promising (and practical) ways to address these challenges is interactive image segmentation. These algorithms are designed to incorporate input from a human operator to tailor the segmentation method to the image at hand. Interactive image segmentation is now a key tool in a wide range of applications in microscopy and elsewhere. Historically, interactive image segmentation algorithms have tailored segmentation on an image-by-image basis, and information derived from operator input is not transferred between images. But recently there has been increasing interest to use machine learning in segmentation to provide interactive tools that accumulate and learn from the operator input over longer periods of time. These new learning algorithms reduce the need for operator input over time, and can potentially provide a more dynamic balance between customization and automation for different applications. This paper reviews the state of the art in this area, provides a unified view of these algorithms, and compares the segmentation performance of various design choices.
NASA Astrophysics Data System (ADS)
2005-01-01
Einstein year: Einstein is brought back to life for a year of educational events Workshop: Students reach out for the Moon Event: Masterclasses go with a bang Workshop: Students search for asteroids on Einstein's birthday Scotland: Curriculum for Excellence takes holistic approach Conference: Reporting from a mattress in Nachod Conference: 'Change' is key objective at ICPE conference 2005 Lecture: Institute of Physics Schools Lecture series Conference: Experience showcase science in Warwick National network: Science Learning Centre opens Meeting: 30th Stirling Physics Meeting breaks records Competition: Win a digital camera! Forthcoming Events
The DoD C-17 Versus the Boeing 777. A Comparison of Acquisition and Development
1999-10-01
believed enough in what I was doing to encourage Mr. Condit to see me. Philip Condit, then President and now CEO of The Boeing Company , not only...maintain the superiority of the American military at less cost with more efficient methods. Therefore, whatever lessons we can learn from a comparison...opportuni- ties that enhance objectives. 1 One of the keys to successful management is in identifying and defining what to change: Every company has two
Lodhi, Shaia Kan; Thaver, Danyal; Akhtar, Irfan Nake; Javaid, Hina; Masoor, Maman; Bano, Shah; Malik, Fatima Noor; Iqbal, Mehreen Rizwana; Hashmi, Hassan Raza; Siddiqullah, Syed; Saleem, Sarah
2016-01-01
Learning impairments in children consist of a spectrum of disorders that are under diagnosed in Pakistan. Most learning disorders have long term consequences for a child and early detection is thus imperative. Teachers may be able to play a key role in such identification. The objective of our study was to survey knowledge, attitudes and practices of school teachers regarding dyslexia, Attention-deficit/hyperactivity disorder (ADHD) and autistic spectrum disorder, and assess their ability to identify learning disabilities. A cross-sectional study was conducted with 233 primary school teachers from Karachi using a self-administered questionnaire. Mean scores for the knowledge test and the ability to identify learning- impaired children were 58.8% and 53.3%, respectively. Better qualified teachers scored significantly more on the knowledge and ability to identify learning impairments sections. Most teachers believed that these students should study in mainstream schools with special educators. Majority of the teachers belonged to schools where children with learning disabilities were detected using teachers' judgment. Most teachers manage these children by involving them in discussions, seating them at the front of the class, and giving them extra time. Knowledge about learning disabilities is very low amongst school teachers, which may limit their ability to identify learning impairments.
von Lengerke, Thomas; Kursch, Angelika; Lange, Karin
2011-01-01
In the model medical curriculum HannibaL at Hannover Medical School (MHH, Hannover, Germany), communication skills in taking case histories and disclosing diagnoses (breaking bad news) are assessed through an objective structured clinical examination (OSCE). This is part of the examinations which at the MHH represent the equivalent to the First Part of the Medical Examinations. The second year doctor-patient communication course preparing for these examinations was evaluated during the 2009/10 academic year.Using questionnaires specific to the learning objectives, learning needs were assessed, pre-post comparisons of self-assessed competencies were performed and key teaching methods were evaluated (5-point Likert scales, "5"=fully agree). At T0 (start of the course) 267 students participated (response rate: 93.7%), of which 180 filled out the T1 questionnaire during the last session of the course (67.4%). Within-subject analyses of variance and paired t-tests were conducted.The highest learning needs were found for the "to show how"-items regarding history taking and disclosing diagnoses (M=4.4). The T1-T0 comparisons showed the greatest improvements for history taking ("to know how": mean difference = +1.7, "to show how": +1.8, p<.0001 as with all tests) and the "to know how"-item regarding the disclosure of diagnoses (+1.6), followed by the "to show how"-items on disclosing a diagnosis (+1.4), shared decision making (+1.2), self-assessing one's own strengths/weaknesses (+1.0) and confidently approaching new patients (+0.7). Students with T0 values of 1 or 2 on the respective scales improved on average by 2.2 points across all items, students with the value of 3 by 1.1, and from 4 or 5 by 0.1. Methodically, the use of simulated patients was rated the most helpful (M=4.8, 87% with the scale value 5). This doctor-patient communication course is associated with substantial improvements regarding all key learning objectives. Regarding methods, the deployed simulated patients (2-4 per 10-student-course group in 3 of the 7 course sessions, respectively) were rated the most helpful. The present evaluation calls for both further development of the doctor-patient communication curriculum at the MHH and joint activities across medical schools, which are discussed at the end of the paper.
Wissman, Kathryn T; Rawson, Katherine A
2018-01-01
Students are expected to learn key-term definitions across many different grade levels and academic disciplines. Thus, investigating ways to promote understanding of key-term definitions is of critical importance for applied purposes. A recent survey showed that learners report engaging in collaborative practice testing when learning key-term definitions, with outcomes also shedding light on the way in which learners report engaging in collaborative testing in real-world contexts (Wissman & Rawson, 2016, Memory, 24, 223-239). However, no research has directly explored the effectiveness of engaging in collaborative testing under representative conditions. Accordingly, the current research evaluates the costs (with respect to efficiency) and the benefits (with respect to learning) of collaborative testing for key-term definitions under representative conditions. In three experiments (ns = 94, 74, 95), learners individually studied key-term definitions and then completed retrieval practice, which occurred either individually or collaboratively (in dyads). Two days later, all learners completed a final individual test. Results from Experiments 1-2 showed a cost (with respect to efficiency) and no benefit (with respect to learning) of engaging in collaborative testing for key-term definitions. Experiment 3 evaluated a theoretical explanation for why collaborative benefits do not emerge under representative conditions. Collectively, outcomes indicate that collaborative testing versus individual testing is less effective and less efficient when learning key-term definitions under representative conditions.
[Objective surgery -- advanced robotic devices and simulators used for surgical skill assessment].
Suhánszki, Norbert; Haidegger, Tamás
2014-12-01
Robotic assistance became a leading trend in minimally invasive surgery, which is based on the global success of laparoscopic surgery. Manual laparoscopy requires advanced skills and capabilities, which is acquired through tedious learning procedure, while da Vinci type surgical systems offer intuitive control and advanced ergonomics. Nevertheless, in either case, the key issue is to be able to assess objectively the surgeons' skills and capabilities. Robotic devices offer radically new way to collect data during surgical procedures, opening the space for new ways of skill parameterization. This may be revolutionary in MIS training, given the new and objective surgical curriculum and examination methods. The article reviews currently developed skill assessment techniques for robotic surgery and simulators, thoroughly inspecting their validation procedure and utility. In the coming years, these methods will become the mainstream of Western surgical education.
Design of Mobile Augmented Reality in Health Care Education: A Theory-Driven Framework
Lilienthal, Anneliese; Shluzas, Lauren Aquino; Masiello, Italo; Zary, Nabil
2015-01-01
Background Augmented reality (AR) is increasingly used across a range of subject areas in health care education as health care settings partner to bridge the gap between knowledge and practice. As the first contact with patients, general practitioners (GPs) are important in the battle against a global health threat, the spread of antibiotic resistance. AR has potential as a practical tool for GPs to combine learning and practice in the rational use of antibiotics. Objective This paper was driven by learning theory to develop a mobile augmented reality education (MARE) design framework. The primary goal of the framework is to guide the development of AR educational apps. This study focuses on (1) identifying suitable learning theories for guiding the design of AR education apps, (2) integrating learning outcomes and learning theories to support health care education through AR, and (3) applying the design framework in the context of improving GPs’ rational use of antibiotics. Methods The design framework was first constructed with the conceptual framework analysis method. Data were collected from multidisciplinary publications and reference materials and were analyzed with directed content analysis to identify key concepts and their relationships. Then the design framework was applied to a health care educational challenge. Results The proposed MARE framework consists of three hierarchical layers: the foundation, function, and outcome layers. Three learning theories—situated, experiential, and transformative learning—provide foundational support based on differing views of the relationships among learning, practice, and the environment. The function layer depends upon the learners’ personal paradigms and indicates how health care learning could be achieved with MARE. The outcome layer analyzes different learning abilities, from knowledge to the practice level, to clarify learning objectives and expectations and to avoid teaching pitched at the wrong level. Suggestions for learning activities and the requirements of the learning environment form the foundation for AR to fill the gap between learning outcomes and medical learners’ personal paradigms. With the design framework, the expected rational use of antibiotics by GPs is described and is easy to execute and evaluate. The comparison of specific expected abilities with the GP personal paradigm helps solidify the GP practical learning objectives and helps design the learning environment and activities. The learning environment and activities were supported by learning theories. Conclusions This paper describes a framework for guiding the design, development, and application of mobile AR for medical education in the health care setting. The framework is theory driven with an understanding of the characteristics of AR and specific medical disciplines toward helping medical education improve professional development from knowledge to practice. Future research will use the framework as a guide for developing AR apps in practice to validate and improve the design framework. PMID:27731839
ERIC Educational Resources Information Center
Wanapu, Supachanun; Fung, Chun Che; Kerdprasop, Nittaya; Chamnongsri, Nisachol; Niwattanakul, Suphakit
2016-01-01
The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system.…
Yasuhara, Tomohisa; Sone, Tomomichi; Konishi, Motomi; Kushihata, Taro; Nishikawa, Tomoe; Yamamoto, Yumi; Kurio, Wasako; Kohno, Takeyuki
2015-01-01
The KJ method (named for developer Jiro Kawakita; also known as affinity diagramming) is widely used in participatory learning as a means to collect and organize information. In addition, the World Café (WC) has recently become popular. However, differences in the information obtained using each method have not been studied comprehensively. To determine the appropriate information selection criteria, we analyzed differences in the information generated by the WC and KJ methods. Two groups engaged in sessions to collect and organize information using either the WC or KJ method and small group discussions were held to create "proposals to improve first-year education". Both groups answered two pre- and post- session questionnaires that asked for free descriptions. Key words were extracted from the results of the two questionnaires and categorized using text mining. In the responses to questionnaire 1, which was directly related to the session theme, a significant increase in the number of key words was observed in the WC group (p=0.0050, Fisher's exact test). However, there was no significant increase in the number of key words in the responses to questionnaire 2, which was not directly related to the session theme (p=0.8347, Fisher's exact test). In the KJ method, participants extracted the most notable issues and progressed to a detailed discussion, whereas in the WC method, various information and problems were spread among the participants. The choice between the WC and KJ method should be made to reflect the educational objective and desired direction of discussion.
NASA Astrophysics Data System (ADS)
McCrum, Daniel Patrick
2017-11-01
For a structural engineer, effective communication and interaction with architects cannot be underestimated as a key skill to success throughout their professional career. Structural engineers and architects have to share a common language and understanding of each other in order to achieve the most desirable architectural and structural designs. This interaction and engagement develops during their professional career but needs to be nurtured during their undergraduate studies. The objective of this paper is to present the strategies employed to engage higher order thinking in structural engineering students in order to help them solve complex problem-based learning (PBL) design scenarios presented by architecture students. The strategies employed were applied in the experimental setting of an undergraduate module in structural engineering at Queen's University Belfast in the UK. The strategies employed were active learning to engage with content knowledge, the use of physical conceptual structural models to reinforce key concepts and finally, reinforcing the need for hand sketching of ideas to promote higher order problem-solving. The strategies employed were evaluated through student survey, student feedback and module facilitator (this author) reflection. The strategies were qualitatively perceived by the tutor and quantitatively evaluated by students in a cross-sectional study to help interaction with the architecture students, aid interdisciplinary learning and help students creatively solve problems (through higher order thinking). The students clearly enjoyed this module and in particular interacting with structural engineering tutors and students from another discipline.
Honeybees Learn Odour Mixtures via a Selection of Key Odorants
Reinhard, Judith; Sinclair, Michael; Srinivasan, Mandyam V.; Claudianos, Charles
2010-01-01
Background The honeybee has to detect, process and learn numerous complex odours from her natural environment on a daily basis. Most of these odours are floral scents, which are mixtures of dozens of different odorants. To date, it is still unclear how the bee brain unravels the complex information contained in scent mixtures. Methodology/Principal Findings This study investigates learning of complex odour mixtures in honeybees using a simple olfactory conditioning procedure, the Proboscis-Extension-Reflex (PER) paradigm. Restrained honeybees were trained to three scent mixtures composed of 14 floral odorants each, and then tested with the individual odorants of each mixture. Bees did not respond to all odorants of a mixture equally: They responded well to a selection of key odorants, which were unique for each of the three scent mixtures. Bees showed less or very little response to the other odorants of the mixtures. The bees' response to mixtures composed of only the key odorants was as good as to the original mixtures of 14 odorants. A mixture composed of the other, non-key-odorants elicited a significantly lower response. Neither an odorant's volatility or molecular structure, nor learning efficiencies for individual odorants affected whether an odorant became a key odorant for a particular mixture. Odorant concentration had a positive effect, with odorants at high concentration likely to become key odorants. Conclusions/Significance Our study suggests that the brain processes complex scent mixtures by predominantly learning information from selected key odorants. Our observations on key odorant learning lend significant support to previous work on olfactory learning and mixture processing in honeybees. PMID:20161714
Personalization vs. How People Learn
ERIC Educational Resources Information Center
Riley, Benjamin
2017-01-01
Riley asserts that some findings of cognitive science conflict with key principles of personalized learning--that students should control the content of their learning and that they should control the pace of their learning. A personalized approach is in conflict with the cognitive science principle that committing key facts in a discipline to…
Two Key Concepts in the Diagnosis of Learning Disabilities and the Habilitation of Learning.
ERIC Educational Resources Information Center
Reynolds, Cecil R.
1992-01-01
Two key concepts in diagnosing learning disabilities ("severe discrepancy" and "process dysfunction") are reviewed, and their relationship to the habilitation of learning is discussed. Guidelines are given for calculating a severe discrepancy, and the evaluation of processing skills is discussed. Strength models of remediation…
ERIC Educational Resources Information Center
Killion, Joellen
2016-01-01
Key findings from a new study highlight how Learning Forward's long-standing position on professional learning correlates with practices in high-performing systems in Singapore, Shanghai, Hong Kong, and British Columbia. The purpose of this article is to share key findings from the study so that educators might apply them to strengthening…
ERIC Educational Resources Information Center
Paulsson, Fredrik; Naeve, Ambjorn
2006-01-01
Based on existing Learning Object taxonomies, this article suggests an alternative Learning Object taxonomy, combined with a general Service Oriented Architecture (SOA) framework, aiming to transfer the modularized concept of Learning Objects to modularized Virtual Learning Environments. The taxonomy and SOA-framework exposes a need for a clearer…
ERIC Educational Resources Information Center
Hunt, Frances; Cara, Olga
2015-01-01
The Global Learning Programme in England is an initiative aimed at supporting the teaching and learning of global learning in schools in England at Key Stage 2 and Key Stage 3. It is a five-year national programme of support to schools to enhance their provision of global learning. Specifically, the GLP-E works with teachers to enhance their…
ERIC Educational Resources Information Center
Lau, Siong-Hoe; Woods, Peter C.
2009-01-01
Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…
Learned filters for object detection in multi-object visual tracking
NASA Astrophysics Data System (ADS)
Stamatescu, Victor; Wong, Sebastien; McDonnell, Mark D.; Kearney, David
2016-05-01
We investigate the application of learned convolutional filters in multi-object visual tracking. The filters were learned in both a supervised and unsupervised manner from image data using artificial neural networks. This work follows recent results in the field of machine learning that demonstrate the use learned filters for enhanced object detection and classification. Here we employ a track-before-detect approach to multi-object tracking, where tracking guides the detection process. The object detection provides a probabilistic input image calculated by selecting from features obtained using banks of generative or discriminative learned filters. We present a systematic evaluation of these convolutional filters using a real-world data set that examines their performance as generic object detectors.
Tian, Moqian; Grill-Spector, Kalanit
2015-01-01
Recognizing objects is difficult because it requires both linking views of an object that can be different and distinguishing objects with similar appearance. Interestingly, people can learn to recognize objects across views in an unsupervised way, without feedback, just from the natural viewing statistics. However, there is intense debate regarding what information during unsupervised learning is used to link among object views. Specifically, researchers argue whether temporal proximity, motion, or spatiotemporal continuity among object views during unsupervised learning is beneficial. Here, we untangled the role of each of these factors in unsupervised learning of novel three-dimensional (3-D) objects. We found that after unsupervised training with 24 object views spanning a 180° view space, participants showed significant improvement in their ability to recognize 3-D objects across rotation. Surprisingly, there was no advantage to unsupervised learning with spatiotemporal continuity or motion information than training with temporal proximity. However, we discovered that when participants were trained with just a third of the views spanning the same view space, unsupervised learning via spatiotemporal continuity yielded significantly better recognition performance on novel views than learning via temporal proximity. These results suggest that while it is possible to obtain view-invariant recognition just from observing many views of an object presented in temporal proximity, spatiotemporal information enhances performance by producing representations with broader view tuning than learning via temporal association. Our findings have important implications for theories of object recognition and for the development of computational algorithms that learn from examples. PMID:26024454
Wang, Jack T H; Schembri, Mark A; Hall, Roy A
2013-01-01
Designing and implementing assessment tasks in large-scale undergraduate science courses is a labor-intensive process subject to increasing scrutiny from students and quality assurance authorities alike. Recent pedagogical research has provided conceptual frameworks for teaching introductory undergraduate microbiology, but has yet to define best-practice assessment guidelines. This study assessed the applicability of Biggs' theory of constructive alignment in designing consistent learning objectives, activities, and assessment items that aligned with the American Society for Microbiology's concept-based microbiology curriculum in MICR2000, an introductory microbiology course offered at the University of Queensland, Australia. By improving the internal consistency in assessment criteria and increasing the number of assessment items explicitly aligned to the course learning objectives, the teaching team was able to efficiently provide adequate feedback on numerous assessment tasks throughout the semester, which contributed to improved student performance and learning gains. When comparing the constructively aligned 2011 offering of MICR2000 with its 2010 counterpart, students obtained higher marks in both coursework assignments and examinations as the semester progressed. Students also valued the additional feedback provided, as student rankings for course feedback provision increased in 2011 and assessment and feedback was identified as a key strength of MICR2000. By designing MICR2000 using constructive alignment and iterative assessment tasks that followed a common set of learning outcomes, the teaching team was able to effectively deliver detailed and timely feedback in a large introductory microbiology course. This study serves as a case study for how constructive alignment can be integrated into modern teaching practices for large-scale courses.
ERIC Educational Resources Information Center
Hill, Janette R.
2006-01-01
The purpose of this article is to explore the key features of "flexible learning environments" (FLEs). Key principles associated with FLEs are explained. Underlying tenets and support mechanisms necessary for the implementation of FLEs are described. Similarities and differences in traditional learning and FLEs are explored. Finally, strategies…
A PKI Approach for Deploying Modern Secure Distributed E-Learning and M-Learning Environments
ERIC Educational Resources Information Center
Kambourakis, Georgios; Kontoni, Denise-Penelope N.; Rouskas, Angelos; Gritzalis, Stefanos
2007-01-01
While public key cryptography is continuously evolving and its installed base is growing significantly, recent research works examine its potential use in e-learning or m-learning environments. Public key infrastructure (PKI) and attribute certificates (ACs) can provide the appropriate framework to effectively support authentication and…
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.
The Importance of Experiential Learning
NASA Astrophysics Data System (ADS)
Stanford, Jennifer
2017-04-01
As student numbers increase year on year, the ability to provide experiential learning opportunities and individual formative feedback is decreasing. As an important mechanism for cementing understanding of key concept thresholds in physical Earth sciences, practical based learning is paramount, especially for students with diverse learning abilities. According to Steinaker & Bell's taxonomy, experiential learning and dissemination of information to peers is key for students to make the transition to being much deeper learners. Furthermore, practical based learning also provides opportunity for varied methods of assessment, which are otherwise more challenging to devise. I here present results from practical, experiential based learning within the context of Foundation Year teaching, which shows that predominantly, students found experiential learning to be both a positive and rewarding part of their curriculum. Key aspects of these findings are now being translated to the design of new curricula.
Pharmacogenetic research in partnership with American Indian and Alaska Native communities
Woodahl, Erica L; Lesko, Lawrence J; Hopkins, Scarlett; Robinson, Renee F; Thummel, Kenneth E; Burke, Wylie
2014-01-01
Pharmacogenetics is a subset of personalized medicine that applies knowledge about genetic variation in gene–drug pairs to help guide optimal dosing. There is a lack of data, however, about pharmacogenetic variation in underserved populations. One strategy for increasing participation of underserved populations in pharmacogenetic research is to include communities in the research process. We have established academic–community partnerships with American Indian and Alaska Native people living in Alaska and Montana to study pharmacogenetics. Key features of the partnership include community oversight of the project, research objectives that address community health priorities, and bidirectional learning that builds capacity in both the community and the research team. Engaging the community as coresearchers can help build trust to advance pharmacogenetic research objectives. PMID:25141898
Taylor, Alex H.; Cheke, Lucy G.; Gray, Russell D.; Loissel, Elsa; Clayton, Nicola S.
2016-01-01
The ability to reason about causality underlies key aspects of human cognition, but the extent to which non-humans understand causality is still largely unknown. The Aesop’s Fable paradigm, where objects are inserted into water-filled tubes to obtain out-of-reach rewards, has been used to test casual reasoning in birds and children. However, success on these tasks may be influenced by other factors, specifically, object preferences present prior to testing or arising during pre-test stone-dropping training. Here, we assessed this ‘object-bias’ hypothesis by giving New Caledonian crows and 5–10 year old children two object-choice Aesop’s Fable experiments: sinking vs. floating objects, and solid vs. hollow objects. Before each test, we assessed subjects’ object preferences and/or trained them to prefer the alternative object. Both crows and children showed pre-test object preferences, suggesting that birds in previous Aesop’s Fable studies may also have had initial preferences for objects that proved to be functional on test. After training to prefer the non-functional object, crows, but not children, performed more poorly on these two object-choice Aesop’s Fable tasks than subjects in previous studies. Crows dropped the non-functional objects into the tube on their first trials, indicating that, unlike many children, they do not appear to have an a priori understanding of water displacement. Alternatively, issues with inhibition could explain their performance. The crows did, however, learn to solve the tasks over time. We tested crows further to determine whether their eventual success was based on learning about the functional properties of the objects, or associating dropping the functional object with reward. Crows inserted significantly more rewarded, non-functional objects than non-rewarded, functional objects. These findings suggest that the ability of New Caledonian crows to produce performances rivaling those of young children on object-choice Aesop’s Fable tasks is partly due to pre-existing object preferences. PMID:27936242
The Future of e-Learning in Medical Education: Current Trend and Future Opportunity
2006-01-01
A wide range of e-learning modalities are widely integrated in medical education. However, some of the key questions related to the role of e-learning remain unanswered, such as (1) what is an effective approach to integrating technology into pre-clinical vs. clinical training?; (2) what evidence exists regarding the type and format of e-learning technology suitable for medical specialties and clinical settings?; (3) which design features are known to be effective in designing on-line patient simulation cases, tutorials, or clinical exams?; and (4) what guidelines exist for determining an appropriate blend of instructional strategies, including on-line learning, face-to-face instruction, and performance-based skill practices? Based on the existing literature and a variety of e-learning examples of synchronous learning tools and simulation technology, this paper addresses the following three questions: (1) what is the current trend of e-learning in medical education?; (2) what do we know about the effective use of e-learning?; and (3) what is the role of e-learning in facilitating newly emerging competency-based training? As e-learning continues to be widely integrated in training future physicians, it is critical that our efforts in conducting evaluative studies should target specific e-learning features that can best mediate intended learning goals and objectives. Without an evolving knowledge base on how best to design e-learning applications, the gap between what we know about technology use and how we deploy e-learning in training settings will continue to widen. PMID:19223995
The influence of personality on neural mechanisms of observational fear and reward learning
Hooker, Christine I.; Verosky, Sara C.; Miyakawa, Asako; Knight, Robert T.; D’Esposito, Mark
2012-01-01
Fear and reward learning can occur through direct experience or observation. Both channels can enhance survival or create maladaptive behavior. We used fMRI to isolate neural mechanisms of observational fear and reward learning and investigate whether neural response varied according to individual differences in neuroticism and extraversion. Participants learned object-emotion associations by observing a woman respond with fearful (or neutral) and happy (or neutral) facial expressions to novel objects. The amygdala-hippocampal complex was active when learning the object-fear association, and the hippocampus was active when learning the object-happy association. After learning, objects were presented alone; amygdala activity was greater for the fear (vs. neutral) and happy (vs. neutral) associated object. Importantly, greater amygdala-hippocampal activity during fear (vs. neutral) learning predicted better recognition of learned objects on a subsequent memory test. Furthermore, personality modulated neural mechanisms of learning. Neuroticism positively correlated with neural activity in the amygdala and hippocampus during fear (vs. neutral) learning. Low extraversion/high introversion was related to faster behavioral predictions of the fearful and neutral expressions during fear learning. In addition, low extraversion/high introversion was related to greater amygdala activity during happy (vs. neutral) learning, happy (vs. neutral) object recognition, and faster reaction times for predicting happy and neutral expressions during reward learning. These findings suggest that neuroticism is associated with an increased sensitivity in the neural mechanism for fear learning which leads to enhanced encoding of fear associations, and that low extraversion/high introversion is related to enhanced conditionability for both fear and reward learning. PMID:18573512
Educational Technologies in Problem-Based Learning in Health Sciences Education: A Systematic Review
Jin, Jun
2014-01-01
Background As a modern pedagogical philosophy, problem-based learning (PBL) is increasingly being recognized as a major research area in student learning and pedagogical innovation in health sciences education. A new area of research interest has been the role of emerging educational technologies in PBL. Although this field is growing, no systematic reviews of studies of the usage and effects of educational technologies in PBL in health sciences education have been conducted to date. Objective The aim of this paper is to review new and emerging educational technologies in problem-based curricula, with a specific focus on 3 cognate clinical disciplines: medicine, dentistry, and speech and hearing sciences. Analysis of the studies reviewed focused on the effects of educational technologies in PBL contexts while addressing the particular issue of scaffolding of student learning. Methods A comprehensive computerized database search of full-text articles published in English from 1996 to 2014 was carried out using 3 databases: ProQuest, Scopus, and EBSCOhost. Eligibility criteria for selection of studies for review were also determined in light of the population, intervention, comparison, and outcomes (PICO) guidelines. The population was limited to postsecondary education, specifically in dentistry, medicine, and speech and hearing sciences, in which PBL was the key educational pedagogy and curriculum design. Three types of educational technologies were identified as interventions used to support student inquiry: learning software and digital learning objects; interactive whiteboards (IWBs) and plasma screens; and learning management systems (LMSs). Results Of 470 studies, 28 were selected for analysis. Most studies examined the effects of learning software and digital learning objects (n=20) with integration of IWB (n=5) and LMS (n=3) for PBL receiving relatively less attention. The educational technologies examined in these studies were seen as potentially fit for problem-based health sciences education. Positive outcomes for student learning included providing rich, authentic problems and/or case contexts for learning; supporting student development of medical expertise through the accessing and structuring of expert knowledge and skills; making disciplinary thinking and strategies explicit; providing a platform to elicit articulation, collaboration, and reflection; and reducing perceived cognitive load. Limitations included cumbersome scenarios, infrastructure requirements, and the need for staff and student support in light of the technological demands of new affordances. Conclusions This literature review demonstrates the generally positive effect of educational technologies in PBL. Further research into the various applications of educational technology in PBL curricula is needed to fully realize its potential to enhance problem-based approaches in health sciences education. PMID:25498126
Fu, Szu-Wei; Li, Pei-Chun; Lai, Ying-Hui; Yang, Cheng-Chien; Hsieh, Li-Chun; Tsao, Yu
2017-11-01
Objective: This paper focuses on machine learning based voice conversion (VC) techniques for improving the speech intelligibility of surgical patients who have had parts of their articulators removed. Because of the removal of parts of the articulator, a patient's speech may be distorted and difficult to understand. To overcome this problem, VC methods can be applied to convert the distorted speech such that it is clear and more intelligible. To design an effective VC method, two key points must be considered: 1) the amount of training data may be limited (because speaking for a long time is usually difficult for postoperative patients); 2) rapid conversion is desirable (for better communication). Methods: We propose a novel joint dictionary learning based non-negative matrix factorization (JD-NMF) algorithm. Compared to conventional VC techniques, JD-NMF can perform VC efficiently and effectively with only a small amount of training data. Results: The experimental results demonstrate that the proposed JD-NMF method not only achieves notably higher short-time objective intelligibility (STOI) scores (a standardized objective intelligibility evaluation metric) than those obtained using the original unconverted speech but is also significantly more efficient and effective than a conventional exemplar-based NMF VC method. Conclusion: The proposed JD-NMF method may outperform the state-of-the-art exemplar-based NMF VC method in terms of STOI scores under the desired scenario. Significance: We confirmed the advantages of the proposed joint training criterion for the NMF-based VC. Moreover, we verified that the proposed JD-NMF can effectively improve the speech intelligibility scores of oral surgery patients. Objective: This paper focuses on machine learning based voice conversion (VC) techniques for improving the speech intelligibility of surgical patients who have had parts of their articulators removed. Because of the removal of parts of the articulator, a patient's speech may be distorted and difficult to understand. To overcome this problem, VC methods can be applied to convert the distorted speech such that it is clear and more intelligible. To design an effective VC method, two key points must be considered: 1) the amount of training data may be limited (because speaking for a long time is usually difficult for postoperative patients); 2) rapid conversion is desirable (for better communication). Methods: We propose a novel joint dictionary learning based non-negative matrix factorization (JD-NMF) algorithm. Compared to conventional VC techniques, JD-NMF can perform VC efficiently and effectively with only a small amount of training data. Results: The experimental results demonstrate that the proposed JD-NMF method not only achieves notably higher short-time objective intelligibility (STOI) scores (a standardized objective intelligibility evaluation metric) than those obtained using the original unconverted speech but is also significantly more efficient and effective than a conventional exemplar-based NMF VC method. Conclusion: The proposed JD-NMF method may outperform the state-of-the-art exemplar-based NMF VC method in terms of STOI scores under the desired scenario. Significance: We confirmed the advantages of the proposed joint training criterion for the NMF-based VC. Moreover, we verified that the proposed JD-NMF can effectively improve the speech intelligibility scores of oral surgery patients.
Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio
2009-02-01
How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified mechanistic explanation of how spatial and object attention work together to search a scene and learn what is in it. The ARTSCAN model predicts how an object's surface representation generates a form-fitting distribution of spatial attention, or "attentional shroud". All surface representations dynamically compete for spatial attention to form a shroud. The winning shroud persists during active scanning of the object. The shroud maintains sustained activity of an emerging view-invariant category representation while multiple view-specific category representations are learned and are linked through associative learning to the view-invariant object category. The shroud also helps to restrict scanning eye movements to salient features on the attended object. Object attention plays a role in controlling and stabilizing the learning of view-specific object categories. Spatial attention hereby coordinates the deployment of object attention during object category learning. Shroud collapse releases a reset signal that inhibits the active view-invariant category in the What cortical processing stream. Then a new shroud, corresponding to a different object, forms in the Where cortical processing stream, and search using attention shifts and eye movements continues to learn new objects throughout a scene. The model mechanistically clarifies basic properties of attention shifts (engage, move, disengage) and inhibition of return. It simulates human reaction time data about object-based spatial attention shifts, and learns with 98.1% accuracy and a compression of 430 on a letter database whose letters vary in size, position, and orientation. The model provides a powerful framework for unifying many data about spatial and object attention, and their interactions during perception, cognition, and action.
Abdul Ghaffar Al-Shaibani, Tarik A; Sachs-Robertson, Annette; Al Shazali, Hafiz O; Sequeira, Reginald P; Hamdy, Hosam; Al-Roomi, Khaldoon
2003-07-01
A problem-based learning strategy is used for curriculum planning and implementation at the Arabian Gulf University, Bahrain. Problems are constructed in a way that faculty-set objectives are expected to be identified by students during tutorials. Students in small groups, along with a tutor functioning as a facilitator, identify learning issues and define their learning objectives. We compared objectives identified by student groups with faculty-set objectives to determine extent of congruence, and identified factors that influenced students' ability at identifying faculty-set objectives. Male and female students were segregated and randomly grouped. A faculty tutor was allocated for each group. This study was based on 13 problems given to entry-level medical students. Pooled objectives of these problems were classified into four categories: structural, functional, clinical and psychosocial. Univariate analysis of variance was used for comparison, and a p > 0.05 was considered significant. The mean of overall objectives generated by the students was 54.2%, for each problem. Students identified psychosocial learning objectives more readily than structural ones. Female students identified more psychosocial objectives, whereas male students identified more of structural objectives. Tutor characteristics such as medical/non-medical background, and the years of teaching were correlated with categories of learning issues identified. Students identify part of the faculty-set learning objectives during tutorials with a faculty tutor acting as a facilitator. Students' gender influences types of learning issues identified. Content expertise of tutors does not influence identification of learning needs by students.
Dynamic Learning Objects to Teach Java Programming Language
ERIC Educational Resources Information Center
Narasimhamurthy, Uma; Al Shawkani, Khuloud
2010-01-01
This article describes a model for teaching Java Programming Language through Dynamic Learning Objects. The design of the learning objects was based on effective learning design principles to help students learn the complex topic of Java Programming. Visualization was also used to facilitate the learning of the concepts. (Contains 1 figure and 2…
A Framework for the Flexible Content Packaging of Learning Objects and Learning Designs
ERIC Educational Resources Information Center
Lukasiak, Jason; Agostinho, Shirley; Burnett, Ian; Drury, Gerrard; Goodes, Jason; Bennett, Sue; Lockyer, Lori; Harper, Barry
2004-01-01
This paper presents a platform-independent method for packaging learning objects and learning designs. The method, entitled a Smart Learning Design Framework, is based on the MPEG-21 standard, and uses IEEE Learning Object Metadata (LOM) to provide bibliographic, technical, and pedagogical descriptors for the retrieval and description of learning…
A didactic proposal in the learning of Astronomy through paradigmatic changes
NASA Astrophysics Data System (ADS)
Girola, R.; Santos, M.
2011-10-01
We are presenting a paper about some work carried out with future teachers of secondary schools specialized in Physics, Astronomy and Mathematics from a teacher's training college in the city of Buenos Aires, Argentina. The objective was to develop pedagogic strategies to shape a critic, scientific teacher through three different situations: work, experiments, and the situation or problematic case. We have chosen three key moments in the development of Astronomy from the historic, social, philosophical, epistemology and scientific perspectives through the following paradigmatic confrontations: The geocentric/heliocentric theory, the great debate of Shapley and Curtis, and the problem of dark matter. For each case we have worked with the didactic model of confrontation and an epistemology which accompanies the significant learning in the construction of models and theories.
Clinical learning environments: place, artefacts and rhythm.
Sheehan, Dale; Jowsey, Tanisha; Parwaiz, Mariam; Birch, Mark; Seaton, Philippa; Shaw, Susan; Duggan, Alison; Wilkinson, Tim
2017-10-01
Health care practitioners learn through experience in clinical environments in which supervision is a key component, but how that learning occurs outside the supervision relationship remains largely unknown. This study explores the environmental factors that inform and support workplace learning within a clinical environment. An observational study drawing on ethnographic methods was undertaken in a general medicine ward. Observers paid attention to interactions among staff members that involved potential teaching and learning moments that occurred and were visible in the course of routine work. General purpose thematic analysis of field notes was undertaken. A total of 376 observations were undertaken and documented. The findings suggest that place (location of interaction), rhythm (regularity of activities occurring in the ward) and artefacts (objects and equipment) were strong influences on the interactions and exchanges that occurred. Each of these themes had inherent tensions that could promote or inhibit engagement and therefore learning opportunities. Although many learning opportunities were available, not all were taken up or recognised by the participants. We describe and make explicit how the natural environment of a medical ward and flow of work through patient care contribute to the learning architecture, and how this creates or inhibits opportunities for learning. Awareness of learning opportunities was often tacit and not explicit for either supervisor or learner. We identify strategies through which tensions inherent within space, artefacts and the rhythms of work can be resolved and learning opportunities maximised. © 2017 John Wiley & Sons Ltd and The Association for the Study of Medical Education.
Object Oriented Learning Objects
ERIC Educational Resources Information Center
Morris, Ed
2005-01-01
We apply the object oriented software engineering (OOSE) design methodology for software objects (SOs) to learning objects (LOs). OOSE extends and refines design principles for authoring dynamic reusable LOs. Our learning object class (LOC) is a template from which individualised LOs can be dynamically created for, or by, students. The properties…
ERIC Educational Resources Information Center
Niemann, Katja; Wolpers, Martin
2015-01-01
In this paper, we introduce a new way of detecting semantic similarities between learning objects by analysing their usage in web portals. Our approach relies on the usage-based relations between the objects themselves rather then on the content of the learning objects or on the relations between users and learning objects. We then take this new…
Mau, Wilfried; Liebl, Max Emanuel; Deck, Ruth; Lange, Uwe; Smolenski, Ulrich Christian; Walter, Susanne; Gutenbrunner, Christoph
2017-12-01
Since the first publication of learning objectives for the interdisciplinary subject "Rehabilitation, Physical Medicine, Naturopathic Treatment" in undergraduate medical education in 2004 a revision is reasonable due to heterogenous teaching programmes in the faculties and the introduction of the National Competence Based Catalogue of Learning Objectives in Medicine as well as the "Masterplan Medical Education 2020". Therefore the German Society of Rehabilitation Science and the German Society of Physical Medicine and Rehabilitation started a structured consensus process using the DELPHI-method to reduce the learning objectives and arrange them more clearly. Objectives of particular significance are emphasised. All learning objectives are assigned to the cognitive and methodological level 1 or to the action level 2. The learning objectives refer to the less detailed National Competence Based Catalogue of Learning Objectives in Medicine. The revised learning objectives will contribute to further progress in competence based and more homogenous medical teaching in core objectives of Rehabilitation, Physical Medicine, and Naturopathic Treatment in the faculties. © Georg Thieme Verlag KG Stuttgart · New York.
A biological hierarchical model based underwater moving object detection.
Shen, Jie; Fan, Tanghuai; Tang, Min; Zhang, Qian; Sun, Zhen; Huang, Fengchen
2014-01-01
Underwater moving object detection is the key for many underwater computer vision tasks, such as object recognizing, locating, and tracking. Considering the super ability in visual sensing of the underwater habitats, the visual mechanism of aquatic animals is generally regarded as the cue for establishing bionic models which are more adaptive to the underwater environments. However, the low accuracy rate and the absence of the prior knowledge learning limit their adaptation in underwater applications. Aiming to solve the problems originated from the inhomogeneous lumination and the unstable background, the mechanism of the visual information sensing and processing pattern from the eye of frogs are imitated to produce a hierarchical background model for detecting underwater objects. Firstly, the image is segmented into several subblocks. The intensity information is extracted for establishing background model which could roughly identify the object and the background regions. The texture feature of each pixel in the rough object region is further analyzed to generate the object contour precisely. Experimental results demonstrate that the proposed method gives a better performance. Compared to the traditional Gaussian background model, the completeness of the object detection is 97.92% with only 0.94% of the background region that is included in the detection results.
A Biological Hierarchical Model Based Underwater Moving Object Detection
Shen, Jie; Fan, Tanghuai; Tang, Min; Zhang, Qian; Sun, Zhen; Huang, Fengchen
2014-01-01
Underwater moving object detection is the key for many underwater computer vision tasks, such as object recognizing, locating, and tracking. Considering the super ability in visual sensing of the underwater habitats, the visual mechanism of aquatic animals is generally regarded as the cue for establishing bionic models which are more adaptive to the underwater environments. However, the low accuracy rate and the absence of the prior knowledge learning limit their adaptation in underwater applications. Aiming to solve the problems originated from the inhomogeneous lumination and the unstable background, the mechanism of the visual information sensing and processing pattern from the eye of frogs are imitated to produce a hierarchical background model for detecting underwater objects. Firstly, the image is segmented into several subblocks. The intensity information is extracted for establishing background model which could roughly identify the object and the background regions. The texture feature of each pixel in the rough object region is further analyzed to generate the object contour precisely. Experimental results demonstrate that the proposed method gives a better performance. Compared to the traditional Gaussian background model, the completeness of the object detection is 97.92% with only 0.94% of the background region that is included in the detection results. PMID:25140194
Hybrid Multiagent System for Automatic Object Learning Classification
NASA Astrophysics Data System (ADS)
Gil, Ana; de La Prieta, Fernando; López, Vivian F.
The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.
Learning on the Job: A Situated Account of Teacher Learning in High School Mathematics Departments
ERIC Educational Resources Information Center
Horn, Ilana Seidel
2005-01-01
To investigate teachers' everyday on-the-job learning, I used a comparative case study design and examined the work of mathematics teachers in 2 high schools. Analysis of interviews, classroom observations, and teachers' conversations highlighted 3 key resources for learning: (a) reform artifacts oriented the teachers' attention to key concepts of…
Perceptions of Learning Effectiveness in M-Learning: Scale Development and Student Awareness
ERIC Educational Resources Information Center
Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua
2017-01-01
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Responsive eLearning exercises to enhance student interaction with metabolic pathways.
Roesler, William J; Dreaver-Charles, Kristine
2018-05-01
Successful learning of biochemistry requires students to engage with the material. In the past this often involved students writing out pathways by hand, and more recently directing students to online resources such as videos, songs, and animated slide presentations. However, even these latter resources do not really provide students an opportunity to engage with the material in an active fashion. As part of an online introductory metabolism course that was developed at our university, we created a series of twelve online interactive activities using Adobe Captivate 9. These activities targeted glycolysis, gluconeogenesis, the pentose phosphate pathway, glycogen metabolism, the citric acid cycle, and fatty acid oxidation. The interactive exercises consisted of two types. One involved dragging objects such as names of enzymes or allosteric modifiers to their correct drop locations such as a particular point in a metabolic pathway, a specific enzyme, and so forth. A second type involved clicking on objects, locations within a pathway, and so forth, in response to a particular question. In both types of exercises, students received feedback on their decisions in order to enhance learning. The student feedback received on these activities was very positive, and indicated that they found them to increase their confidence in the material and that they had learned the key principles of each pathway. © 2018 by The International Union of Biochemistry and Molecular Biology, 46(3):223-229, 2018. © 2018 The International Union of Biochemistry and Molecular Biology.
NASA Astrophysics Data System (ADS)
Lönngren, Johanna; Ingerman, Åke; Svanström, Magdalena
2017-08-01
Wicked sustainability problems (WSPs) are an important and particularly challenging type of problem. Science and engineering education can play an important role in preparing students to deal with such problems, but current educational practice may not adequately prepare students to do so. We address this gap by providing insights related to students' abilities to address WSPs. Specifically, we aim to (I) describe key constituents of engineering students' approaches to a WSP, (II) evaluate these approaches in relation to the normative context of education for sustainable development (ESD), and (III) identify relevant aspects of learning related to WSPs. Aim I is addressed through a phenomenographic study, while aims II and III are addressed by relating the results to research literature about human problem solving, sustainable development, and ESD. We describe four qualitatively different ways of approaching a specific WSP, as the outcome of the phenomenographic study: A. Simplify and avoid, B. Divide and control, C. Isolate and succumb, and D. Integrate and balance. We identify approach D as the most appropriate approach in the context of ESD, while A and C are not. On this basis, we identify three learning objectives related to students' abilities to address WSPs: learn to use a fully integrative approach, distinguish WSPs from tame and well-structured problems, and understand and consider the normative context of SD. Finally, we provide recommendations for how these learning objectives can be used to guide the design of science and engineering educational activities.
Optimal control in microgrid using multi-agent reinforcement learning.
Li, Fu-Dong; Wu, Min; He, Yong; Chen, Xin
2012-11-01
This paper presents an improved reinforcement learning method to minimize electricity costs on the premise of satisfying the power balance and generation limit of units in a microgrid with grid-connected mode. Firstly, the microgrid control requirements are analyzed and the objective function of optimal control for microgrid is proposed. Then, a state variable "Average Electricity Price Trend" which is used to express the most possible transitions of the system is developed so as to reduce the complexity and randomicity of the microgrid, and a multi-agent architecture including agents, state variables, action variables and reward function is formulated. Furthermore, dynamic hierarchical reinforcement learning, based on change rate of key state variable, is established to carry out optimal policy exploration. The analysis shows that the proposed method is beneficial to handle the problem of "curse of dimensionality" and speed up learning in the unknown large-scale world. Finally, the simulation results under JADE (Java Agent Development Framework) demonstrate the validity of the presented method in optimal control for a microgrid with grid-connected mode. Copyright © 2012 ISA. Published by Elsevier Ltd. All rights reserved.
Entrepreneurship Education through Industrial Internship for Technical and Vocational Students
NASA Astrophysics Data System (ADS)
Sumual, H.; Soputan, G. J.
2018-02-01
The spirit of entrepreneurship must be formed in an integrated process in learning so that commitment, responsibility and work ethic on the candidate of vocational high school graduates are effectively promoted. Learning teaching factory teaches students how to find problems, build prototypes, learn to make business plan, and learn to present their own solutions. The research objective is to assess the effectiveness of Teaching Factory implementation in improving the competence and skills of students in the field of entrepreneurship. The method used in this research is case study. Key informants were determined purposively in charge of teaching factory, students, and teachers who teach in productive subject. The results achieved in this study are: 1) culinary and hospitality units are the most active groups in producing products for teaching factory, 2) the role of entrepreneurial groups in each unit of production in order to increase productivity 3) students earn revenues of teaching factory and production unit get percentage of product or service sales, 3) the role of each production unit determines the level of teaching factory effectiveness.
Intelligent Sensing in Dynamic Environments Using Markov Decision Process
Nanayakkara, Thrishantha; Halgamuge, Malka N.; Sridhar, Prasanna; Madni, Asad M.
2011-01-01
In a network of low-powered wireless sensors, it is essential to capture as many environmental events as possible while still preserving the battery life of the sensor node. This paper focuses on a real-time learning algorithm to extend the lifetime of a sensor node to sense and transmit environmental events. A common method that is generally adopted in ad-hoc sensor networks is to periodically put the sensor nodes to sleep. The purpose of the learning algorithm is to couple the sensor’s sleeping behavior to the natural statistics of the environment hence that it can be in optimal harmony with changes in the environment, the sensors can sleep when steady environment and stay awake when turbulent environment. This paper presents theoretical and experimental validation of a reward based learning algorithm that can be implemented on an embedded sensor. The key contribution of the proposed approach is the design and implementation of a reward function that satisfies a trade-off between the above two mutually contradicting objectives, and a linear critic function to approximate the discounted sum of future rewards in order to perform policy learning. PMID:22346624
Learning Semantics of Gestural Instructions for Human-Robot Collaboration
Shukla, Dadhichi; Erkent, Özgür; Piater, Justus
2018-01-01
Designed to work safely alongside humans, collaborative robots need to be capable partners in human-robot teams. Besides having key capabilities like detecting gestures, recognizing objects, grasping them, and handing them over, these robots need to seamlessly adapt their behavior for efficient human-robot collaboration. In this context we present the fast, supervised Proactive Incremental Learning (PIL) framework for learning associations between human hand gestures and the intended robotic manipulation actions. With the proactive aspect, the robot is competent to predict the human's intent and perform an action without waiting for an instruction. The incremental aspect enables the robot to learn associations on the fly while performing a task. It is a probabilistic, statistically-driven approach. As a proof of concept, we focus on a table assembly task where the robot assists its human partner. We investigate how the accuracy of gesture detection affects the number of interactions required to complete the task. We also conducted a human-robot interaction study with non-roboticist users comparing a proactive with a reactive robot that waits for instructions. PMID:29615888
Learning Semantics of Gestural Instructions for Human-Robot Collaboration.
Shukla, Dadhichi; Erkent, Özgür; Piater, Justus
2018-01-01
Designed to work safely alongside humans, collaborative robots need to be capable partners in human-robot teams. Besides having key capabilities like detecting gestures, recognizing objects, grasping them, and handing them over, these robots need to seamlessly adapt their behavior for efficient human-robot collaboration. In this context we present the fast, supervised Proactive Incremental Learning (PIL) framework for learning associations between human hand gestures and the intended robotic manipulation actions. With the proactive aspect, the robot is competent to predict the human's intent and perform an action without waiting for an instruction. The incremental aspect enables the robot to learn associations on the fly while performing a task. It is a probabilistic, statistically-driven approach. As a proof of concept, we focus on a table assembly task where the robot assists its human partner. We investigate how the accuracy of gesture detection affects the number of interactions required to complete the task. We also conducted a human-robot interaction study with non-roboticist users comparing a proactive with a reactive robot that waits for instructions.
Developing information literacy: a key to evidence-based nursing.
Shorten, A; Wallace, M C; Crookes, P A
2001-06-01
This report describes the evaluation of a curriculum-integrated programme designed to help students develop an awareness of the nursing literature, the skills to locate and retrieve it, and skills required in its evaluation; in other words'information literacy'. Positive changes in student performance on objective measures of information-literacy skills were revealed as well as a significant increase in the levels of confidence of the student in performing those skills. Students who had undertaken the information-literacy programme ('programme' students) performed better on a range of objective measures of information literacy, as well as reporting higher levels of confidence in these skills, than students who had not participated in the programme ('non-programme' students). Evaluation of this programme provides evidence of the potential usefulness of a curriculum-integrated approach for the development of information-literacy skills within nursing education. With these underlying skills, students will be better equipped to consolidate and extend their key information-literacy skills to include research appreciation and application. These are vital for effective lifelong learning and a prerequisite to evidence-based practice.
The Power of Key: Celebrating 20 Years of Innovation at the Key Learning Community
ERIC Educational Resources Information Center
Kunkel, Christine
2007-01-01
The Key Learning Community in Indianapolis was the first school in the world to base its approach on the theory of multiple intelligences. Ms. Kunkel, Key's principal, reflects on the school's continuing growth and success--even in the face of pressures to standardize--and shares the history of its founding. (Contains 5 endnotes.)
Extended Relation Metadata for SCORM-Based Learning Content Management Systems
ERIC Educational Resources Information Center
Lu, Eric Jui-Lin; Horng, Gwoboa; Yu, Chia-Ssu; Chou, Ling-Ying
2010-01-01
To increase the interoperability and reusability of learning objects, Advanced Distributed Learning Initiative developed a model called Content Aggregation Model (CAM) to describe learning objects and express relationships between learning objects. However, the suggested relations defined in the CAM can only describe structure-oriented…
Common world model for unmanned systems
NASA Astrophysics Data System (ADS)
Dean, Robert Michael S.
2013-05-01
The Robotic Collaborative Technology Alliance (RCTA) seeks to provide adaptive robot capabilities which move beyond traditional metric algorithms to include cognitive capabilities. Key to this effort is the Common World Model, which moves beyond the state-of-the-art by representing the world using metric, semantic, and symbolic information. It joins these layers of information to define objects in the world. These objects may be reasoned upon jointly using traditional geometric, symbolic cognitive algorithms and new computational nodes formed by the combination of these disciplines. The Common World Model must understand how these objects relate to each other. Our world model includes the concept of Self-Information about the robot. By encoding current capability, component status, task execution state, and histories we track information which enables the robot to reason and adapt its performance using Meta-Cognition and Machine Learning principles. The world model includes models of how aspects of the environment behave, which enable prediction of future world states. To manage complexity, we adopted a phased implementation approach to the world model. We discuss the design of "Phase 1" of this world model, and interfaces by tracing perception data through the system from the source to the meta-cognitive layers provided by ACT-R and SS-RICS. We close with lessons learned from implementation and how the design relates to Open Architecture.
Using innovative instructional technology to meet training needs in public health: a design process.
Millery, Mari; Hall, Michelle; Eisman, Joanna; Murrman, Marita
2014-03-01
Technology and distance learning can potentially enhance the efficient and effective delivery of continuing education to the public health workforce. Public Health Training Centers collaborate with instructional technology designers to develop innovative, competency-based online learning experiences that meet pressing training needs and promote best practices. We describe one Public Health Training Center's online learning module design process, which consists of five steps: (1) identify training needs and priority competencies; (2) define learning objectives and identify educational challenges; (3) pose hypotheses and explore innovative, technology-based solutions; (4) develop and deploy the educational experience; and (5) evaluate feedback and outcomes to inform continued cycles of revision and improvement. Examples illustrate the model's application. These steps are discussed within the context of design practices in the fields of education, engineering, and public health. They incorporate key strategies from across these fields, including principles of programmatic design familiar to public health professionals, such as backward design. The instructional technology design process we describe provides a structure for the creativity, collaboration, and systematic strategies needed to develop online learning products that address critical training needs for the public health workforce.
Barnard-Ashton, Paula; Rothberg, Alan; McInerney, Patricia
2017-08-17
This paper presents a critical reflection of the integration of Blended Learning (BL) into an undergraduate occupational therapy curriculum which was delivered through Problem Based Learning (PBL). This is a qualitative reflection of a Participatory Action Research (PAR) study using Brookfield's model for critical reflection of an educator's practice. The model uses four 'lenses' through which to focus enquiry: Lens 1) our autobiography as a learner of practice; Lens 2) our learners' eyes; Lens 3) our colleagues' experiences; and Lens 4) the theoretical literature. Grounded theory analysis was applied to the data. The factors that contributed to successful integration of technology and e-Learning into an existing curriculum, the hurdles that were navigated along the way, and how these influenced decisions and innovation are explored. The core categories identified in the data were "drivers of change" and "outcomes of BL integration". Key situations and pivotal events are highlighted for their role in the process that led to the project maturing. Each lens reflects the successes and hurdles experienced during the study. Brookfield's model provides an objective method of reflection which showed that despite the hurdles, e-Learning was successfully integrated into the curriculum.
Ellaway, Rachel; Pettigrew, Graham; Rhind, Susan; Dewhurst, David
2005-01-01
The Edinburgh Electronic Veterinary Curriculum (EEVeC) is a purpose-built virtual learning support environment for the veterinary medicine program at the University of Edinburgh. It is Web based and adapted from a system developed for the human medical curriculum. It is built around a set of databases and learning objects and incorporates features such as course materials, personalized timetables, staff and student contact pages, a notice board, and discussion forums. The EEVeC also contains global or generic resources such as information on quality enhancement and research options. Many of these features contribute to the aim of building a learning community, but a challenge has been to introduce specific features that enhance student learning. One of these is a searchable lecture database in which learning activities such as quizzes and computer-aided learning exercises (CALs) can be embedded to supplement a synopsis of the lecture and address the key needs of integration and reinforcement of learning. Statistics of use indicate extensive student activity during evenings and weekends, with a pattern of increased usage over the years as more features become available and staff and students progressively engage with the system. An essential feature of EEVeC is its flexibility and the way in which it is evolving to meet the changing needs of the teaching program.
A Novel Teaching Tool Combined With Active-Learning to Teach Antimicrobial Spectrum Activity.
MacDougall, Conan
2017-03-25
Objective. To design instructional methods that would promote long-term retention of knowledge of antimicrobial pharmacology, particularly the spectrum of activity for antimicrobial agents, in pharmacy students. Design. An active-learning approach was used to teach selected sessions in a required antimicrobial pharmacology course. Students were expected to review key concepts from the course reader prior to the in-class sessions. During class, brief concept reviews were followed by active-learning exercises, including a novel schematic method for learning antimicrobial spectrum of activity ("flower diagrams"). Assessment. At the beginning of the next quarter (approximately 10 weeks after the in-class sessions), 360 students (three yearly cohorts) completed a low-stakes multiple-choice examination on the concepts in antimicrobial spectrum of activity. When data for students was pooled across years, the mean number of correct items was 75.3% for the items that tested content delivered with the active-learning method vs 70.4% for items that tested content delivered via traditional lecture (mean difference 4.9%). Instructor ratings on student evaluations of the active-learning approach were high (mean scores 4.5-4.8 on a 5-point scale) and student comments were positive about the active-learning approach and flower diagrams. Conclusion. An active-learning approach led to modestly higher scores in a test of long-term retention of pharmacology knowledge and was well-received by students.
A Novel Teaching Tool Combined With Active-Learning to Teach Antimicrobial Spectrum Activity
2017-01-01
Objective. To design instructional methods that would promote long-term retention of knowledge of antimicrobial pharmacology, particularly the spectrum of activity for antimicrobial agents, in pharmacy students. Design. An active-learning approach was used to teach selected sessions in a required antimicrobial pharmacology course. Students were expected to review key concepts from the course reader prior to the in-class sessions. During class, brief concept reviews were followed by active-learning exercises, including a novel schematic method for learning antimicrobial spectrum of activity (“flower diagrams”). Assessment. At the beginning of the next quarter (approximately 10 weeks after the in-class sessions), 360 students (three yearly cohorts) completed a low-stakes multiple-choice examination on the concepts in antimicrobial spectrum of activity. When data for students was pooled across years, the mean number of correct items was 75.3% for the items that tested content delivered with the active-learning method vs 70.4% for items that tested content delivered via traditional lecture (mean difference 4.9%). Instructor ratings on student evaluations of the active-learning approach were high (mean scores 4.5-4.8 on a 5-point scale) and student comments were positive about the active-learning approach and flower diagrams. Conclusion. An active-learning approach led to modestly higher scores in a test of long-term retention of pharmacology knowledge and was well-received by students. PMID:28381885
Age-related impairments in active learning and strategic visual exploration.
Brandstatt, Kelly L; Voss, Joel L
2014-01-01
Old age could impair memory by disrupting learning strategies used by younger individuals. We tested this possibility by manipulating the ability to use visual-exploration strategies during learning. Subjects controlled visual exploration during active learning, thus permitting the use of strategies, whereas strategies were limited during passive learning via predetermined exploration patterns. Performance on tests of object recognition and object-location recall was matched for younger and older subjects for objects studied passively, when learning strategies were restricted. Active learning improved object recognition similarly for younger and older subjects. However, active learning improved object-location recall for younger subjects, but not older subjects. Exploration patterns were used to identify a learning strategy involving repeat viewing. Older subjects used this strategy less frequently and it provided less memory benefit compared to younger subjects. In previous experiments, we linked hippocampal-prefrontal co-activation to improvements in object-location recall from active learning and to the exploration strategy. Collectively, these findings suggest that age-related memory problems result partly from impaired strategies during learning, potentially due to reduced hippocampal-prefrontal co-engagement.
Perceptual Learning and Attention: Reduction of Object Attention Limitations with Practice
Dosher, Barbara Anne; Han, Songmei; Lu, Zhong-Lin
2012-01-01
Perceptual learning has widely been claimed to be attention driven; attention assists in choosing the relevant sensory information and attention may be necessary in many cases for learning. In this paper, we focus on the interaction of perceptual learning and attention – that perceptual learning can reduce or eliminate the limitations of attention, or, correspondingly, that perceptual learning depends on the attention condition. Object attention is a robust limit on performance. Two attributes of a single attended object may be reported without loss, while the same two attributes of different objects can exhibit a substantial dual-report deficit due to the sharing of attention between objects. The current experiments document that this fundamental dual-object report deficit can be reduced, or eliminated, through perceptual learning that is partially specific to retinal location. This suggests that alternative routes established by practice may reduce the competition between objects for processing resources. PMID:19796653
Mirzoev, Tolib; Kane, Sumit
2018-01-01
Information from patient complaints - a widely accepted measure of patient satisfaction with services - can inform improvements in service quality, and contribute towards overall health systems performance. While analyses of data from patient complaints received much emphasis, there is limited published literature on key interventions to improve complaint management systems. The objectives are two-fold: first, to synthesise existing evidence and provide practical options to inform future policy and practice and, second, to identify key outstanding gaps in the existing literature to inform agenda for future research. We report results of review of the existing literature. Peer-reviewed published literature was searched in OVID Medline, OVID Global Health and PubMed. In addition, relevant citations from the reviewed articles were followed up, and we also report grey literature from the UK and the Netherlands. Effective interventions can improve collection of complaints (e.g. establishing easy-to-use channels and raising patients' awareness of these), analysis of complaint data (e.g. creating structures and spaces for analysis and learning from complaints data), and subsequent action (e.g. timely feedback to complainants and integrating learning from complaints into service quality improvement). No one single measure can be sufficient, and any intervention to improve patient complaint management system must include different components, which need to be feasible, effective, scalable, and sustainable within local context. Effective interventions to strengthen patient complaints systems need to be: comprehensive, integrated within existing systems, context-specific and cognizant of the information asymmetry and the unequal power relations between the key actors. Four gaps in the published literature represent an agenda for future research: limited understanding of contexts of effective interventions, absence of system-wide approaches, lack of evidence from low- and middle-income countries and absence of focused empirical assessments of behaviour of staff who manage patient complaints.
Learning while Babbling: Prelinguistic Object-Directed Vocalizations Indicate a Readiness to Learn
ERIC Educational Resources Information Center
Goldstein, Michael H.; Schwade, Jennifer; Briesch, Jacquelyn; Syal, Supriya
2010-01-01
Two studies illustrate the functional significance of a new category of prelinguistic vocalizing--object-directed vocalizations (ODVs)--and show that these sounds are connected to learning about words and objects. Experiment 1 tested 12-month-old infants' perceptual learning of objects that elicited ODVs. Fourteen infants' vocalizations were…
Assessment of the core learning objectives curriculum for the urology clerkship.
Rapp, David E; Gong, Edward M; Reynolds, W Stuart; Lucioni, Alvaro; Zagaja, Gregory P
2007-11-01
The traditional approach to the surgical clerkship has limitations, including variability of clinical exposure. To optimize student education we developed and introduced the core learning objectives curriculum, which is designed to allow students freedom to direct their learning and focus on core concepts. We performed a prospective, randomized, controlled study to compare the efficacy of core learning objectives vs traditional curricula through objective and subjective measures. Medical students were randomly assigned to the core learning objectives or traditional curricula during the 2-week urology clerkship. Faculty was blinded to student assignment. Upon rotation completion all students were given a 20-question multiple choice examination covering basic urology concepts. In addition, students completed a questionnaire addressing subjective clerkship satisfaction, comprising 15 questions. Between June 2005 and January 2007, 10 core learning objectives students and 10 traditional students completed the urology clerkship. The average +/- SEM multiple choice examination score was 12.1 +/- 0.87 and 9.8 +/- 0.59 for students assigned to the core learning objectives and traditional curricula, respectively (p <0.05). Subjective scores were higher in the core learning objectives cohort, although this result did not attain statistical significance (124.9 +/- 3.72 vs 114.3 +/- 4.96, p = 0.1). Core learning objectives students reported higher satisfaction in all 15 assessed subjective end points. Our experience suggests that the core learning objectives model may be an effective educational tool to help students achieve a broad and directed exposure to the core urological concepts.
2011-01-01
Background All healthcare students are taught the principles of evidence based practice on their courses. The ability to understand the procedures used in systematically reviewing evidence reported in studies, such as meta-analysis, are an important element of evidence based practice. Meta-analysis is a difficult statistical concept for healthcare students to understand yet it is an important technique used in systematic reviews to pool data from studies to look at combined effectiveness of treatments. In other areas of the healthcare curricula, by supplementing lectures, workbooks and workshops with pedagogically designed, multimedia learning objects (known as reusable learning objects or RLOs) we have shown an improvement in students' perceived understanding in subjects they found difficult. In this study we describe the development and evaluation of two RLOs on meta-analysis. The RLOs supplement associated lectures and aim to improve students' understanding of meta-analysis in healthcare students. Methods Following a quality controlled design process two RLOs were developed and delivered to two cohorts of students, a Master in Public Health course and Postgraduate diploma in nursing course. Students' understanding of five key concepts of Meta-analysis were measured before and after a lecture and again after RLO use. RLOs were also evaluated for their educational value, learning support, media attributes and usability using closed and open questions. Results Students rated their understanding of meta-analysis as improved after a lecture and further improved after completing the RLOs (Wilcoxon paired test, p < 0.01 in all cases) Whilst the media components of the RLOs such as animations helped most students (86%) understand concepts including for example Forest plots, 93% of students rated usability and control as important to their learning. A small number of students stated they needed the support of a lecturer alongside the RLOs (7% 'Agreed' and 21% 'Neutral'). Conclusions Meta-analysis RLOs that are openly accessible and unrestricted by usernames and passwords provide flexible support for students who find the process of meta-analysis difficult. PMID:21542905
ERIC Educational Resources Information Center
Efendioglu, Akin
2015-01-01
This experimental study aims to determine pre-service teachers' achievements and key factors that affect the learning process with regard to problem-based learning (PBL) and lecture-based computer course (LBCC) conditions. The research results showed that the pre-service teachers in the PBL group had significantly higher achievement scores than…
A Data Mining Approach to Improve Re-Accessibility and Delivery of Learning Knowledge Objects
ERIC Educational Resources Information Center
Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay
2014-01-01
Today Learning Management Systems (LMS) have become an integral part of learning mechanism of both learning institutes and industry. A Learning Object (LO) can be one of the atomic components of LMS. A large amount of research is conducted into identifying benchmarks for creating Learning Objects. Some of the major concerns associated with LO are…
Data-Driven Neural Network Model for Robust Reconstruction of Automobile Casting
NASA Astrophysics Data System (ADS)
Lin, Jinhua; Wang, Yanjie; Li, Xin; Wang, Lu
2017-09-01
In computer vision system, it is a challenging task to robustly reconstruct complex 3D geometries of automobile castings. However, 3D scanning data is usually interfered by noises, the scanning resolution is low, these effects normally lead to incomplete matching and drift phenomenon. In order to solve these problems, a data-driven local geometric learning model is proposed to achieve robust reconstruction of automobile casting. In order to relieve the interference of sensor noise and to be compatible with incomplete scanning data, a 3D convolution neural network is established to match the local geometric features of automobile casting. The proposed neural network combines the geometric feature representation with the correlation metric function to robustly match the local correspondence. We use the truncated distance field(TDF) around the key point to represent the 3D surface of casting geometry, so that the model can be directly embedded into the 3D space to learn the geometric feature representation; Finally, the training labels is automatically generated for depth learning based on the existing RGB-D reconstruction algorithm, which accesses to the same global key matching descriptor. The experimental results show that the matching accuracy of our network is 92.2% for automobile castings, the closed loop rate is about 74.0% when the matching tolerance threshold τ is 0.2. The matching descriptors performed well and retained 81.6% matching accuracy at 95% closed loop. For the sparse geometric castings with initial matching failure, the 3D matching object can be reconstructed robustly by training the key descriptors. Our method performs 3D reconstruction robustly for complex automobile castings.
Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
Chuang, Lewis L.; Vuong, Quoc C.; Bülthoff, Heinrich H.
2012-01-01
There is evidence that observers use learned object motion to recognize objects. For instance, studies have shown that reversing the learned direction in which a rigid object rotated in depth impaired recognition accuracy. This motion reversal can be achieved by playing animation sequences of moving objects in reverse frame order. In the current study, we used this sequence-reversal manipulation to investigate whether observers encode the motion of dynamic objects in visual memory, and whether such dynamic representations are encoded in a way that is dependent on the viewing conditions. Participants first learned dynamic novel objects, presented as animation sequences. Following learning, they were then tested on their ability to recognize these learned objects when their animation sequence was shown in the same sequence order as during learning or in the reverse sequence order. In Experiment 1, we found that non-rigid motion contributed to recognition performance; that is, sequence-reversal decreased sensitivity across different tasks. In subsequent experiments, we tested the recognition of non-rigidly deforming (Experiment 2) and rigidly rotating (Experiment 3) objects across novel viewpoints. Recognition performance was affected by viewpoint changes for both experiments. Learned non-rigid motion continued to contribute to recognition performance and this benefit was the same across all viewpoint changes. By comparison, learned rigid motion did not contribute to recognition performance. These results suggest that non-rigid motion provides a source of information for recognizing dynamic objects, which is not affected by changes to viewpoint. PMID:22661939
Webb, Lucy; Clough, Jonathan; O'Reilly, Declan; Wilmott, Danita; Witham, Gary
2017-01-01
To evaluate and summarise the utility and impact of information communication technology (ICT) in enhancing student performance and the learning environment in pre-registration nursing. A systematic review of empirical research across a range of themes in ICT health-related education. Science Direct, Cinahl, AMED, MEDLINE, PubMed, ASSIA, OVID and OVID SP (2008-2014). Further date parameters were imposed by theme. Evidence was reviewed by narrative synthesis, adopting Caldwell's appraisal framework and CASP for qualitative methods. Selection and inclusion was grounded in the PICOS structure, with language requirements (English), and further parameters were guided by theme appropriateness. Fifty studies were selected for review across six domains: reusable learning objects, media, audience response systems, e-portfolios, computer-based assessment and faculty adoption of e-learning. Educational ICT was found to be non-inferior to traditional teaching, while offering benefits to teaching and learning efficiency. Where support is in place, ICT improves the learning environment for staff and students, but human and environmental barriers need to be addressed. This review illuminates more advantages for ICT in nurse training than previously. The key advantage of flexibility is supported, though with little evidence for effect on depth of learning. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.
Computer-assisted learning and simulation systems in dentistry--a challenge to society.
Welk, A; Splieth, Ch; Wierinck, E; Gilpatrick, R O; Meyer, G
2006-07-01
Computer technology is increasingly used in practical training at universities. However, in spite of their potential, computer-assisted learning (CAL) and computer-assisted simulation (CAS) systems still appear to be underutilized in dental education. Advantages, challenges, problems, and solutions of computer-assisted learning and simulation in dentistry are discussed by means of MEDLINE, open Internet platform searches, and key results of a study among German dental schools. The advantages of computer-assisted learning are seen for example in self-paced and self-directed learning and increased motivation. It is useful for both objective theoretical and practical tests and for training students to handle complex cases. CAL can lead to more structured learning and can support training in evidence-based decision-making. The reasons for the still relatively rare implementation of CAL/CAS systems in dental education include an inability to finance, lack of studies of CAL/CAS, and too much effort required to integrate CAL/CAS systems into the curriculum. To overcome the reasons for the relative low degree of computer technology use, we should strive for multicenter research and development projects monitored by the appropriate national and international scientific societies, so that the potential of computer technology can be fully realized in graduate, postgraduate, and continuing dental education.
Lifelong Learning Key Competence Levels of Graduate Students
ERIC Educational Resources Information Center
Adabas, Abdurrahman; Kaygin, Hüseyin
2016-01-01
The European Union defines lifelong learning as all activities aimed at improving an individual's knowledge, skills and competences individually, socially or vocationally throughout his/her life. In 2007, eight key competences necessary for lifelong learning were identified by the European Union Education and Culture Commission. These competences…
ERIC Educational Resources Information Center
Guler, Cetin; Altun, Arif
2010-01-01
Learning objects (LOs) can be defined as resources that are reusable, digital with the aim of fulfilling learning objectives (or expectations). Educators, both at the individual and institutional levels, are cautioned about the fact that LOs are to be processed through a proper development process. Who should be involved in the LO development…
Patterns of Learning Object Reuse in the Connexions Repository
ERIC Educational Resources Information Center
Duncan, S. M.
2009-01-01
Since the term "learning object" was first published, there has been either an explicit or implicit expectation of reuse. There has also been a lot of speculation about why learning objects are, or are not, reused. This study quantitatively examined the actual amount and type of learning object use, to include reuse, modification, and translation,…
McKee, Michael; Thew, Denise; Starr, Matthew; Kushalnagar, Poorna; Reid, John T.; Graybill, Patrick; Velasquez, Julia; Pearson, Thomas
2013-01-01
Background Numerous publications demonstrate the importance of community-based participatory research (CBPR) in community health research, but few target the Deaf community. The Deaf community is understudied and underrepresented in health research despite suspected health disparities and communication barriers. Objectives The goal of this paper is to share the lessons learned from the implementation of CBPR in an understudied community of Deaf American Sign Language (ASL) users in the greater Rochester, New York, area. Methods We review the process of CBPR in a Deaf ASL community and identify the lessons learned. Results Key CBPR lessons include the importance of engaging and educating the community about research, ensuring that research benefits the community, using peer-based recruitment strategies, and sustaining community partnerships. These lessons informed subsequent research activities. Conclusions This report focuses on the use of CBPR principles in a Deaf ASL population; lessons learned can be applied to research with other challenging-to-reach populations. PMID:22982845
Choi, Ickwon; Chung, Amy W; Suscovich, Todd J; Rerks-Ngarm, Supachai; Pitisuttithum, Punnee; Nitayaphan, Sorachai; Kaewkungwal, Jaranit; O'Connell, Robert J; Francis, Donald; Robb, Merlin L; Michael, Nelson L; Kim, Jerome H; Alter, Galit; Ackerman, Margaret E; Bailey-Kellogg, Chris
2015-04-01
The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of data collected from RV144 vaccine recipients, we here employ machine learning methods to identify and model associations between antibody features (IgG subclass and antigen specificity) and effector function activities (antibody dependent cellular phagocytosis, cellular cytotoxicity, and cytokine release). We demonstrate via cross-validation that classification and regression approaches can effectively use the antibody features to robustly predict qualitative and quantitative functional outcomes. This integration of antibody feature and function data within a machine learning framework provides a new, objective approach to discovering and assessing multivariate immune correlates.
Role of expressive behaviour for robots that learn from people
Breazeal, Cynthia
2009-01-01
Robotics has traditionally focused on developing intelligent machines that can manipulate and interact with objects. The promise of personal robots, however, challenges researchers to develop socially intelligent robots that can collaborate with people to do things. In the future, robots are envisioned to assist people with a wide range of activities such as domestic chores, helping elders to live independently longer, serving a therapeutic role to help children with autism, assisting people undergoing physical rehabilitation and much more. Many of these activities shall require robots to learn new tasks, skills and individual preferences while ‘on the job’ from people with little expertise in the underlying technology. This paper identifies four key challenges in developing social robots that can learn from natural interpersonal interaction. The author highlights the important role that expressive behaviour plays in this process, drawing on examples from the past 8 years of her research group, the Personal Robots Group at the MIT Media Lab. PMID:19884147
LeBron, Alana M. W.; Schulz, Amy J.; Bernal, Cristina; Gamboa, Cindy; Wright, Conja; Sand, Sharon; Valerio, Melissa; Caver, Deanna
2015-01-01
Background Contextually and culturally congruent interventions are urgently needed to reduce racial, ethnic, and socio economic inequities in physical activity and cardiovascular disease. Objectives To examine a community-based participatory research (CBPR) process that incorporated storytelling into a physical activity intervention, and consider implications for reducing health inequities. Methods We used a CBPR process to incorporate storytelling in an existing walking group intervention. Stories conveyed social support and problem-solving intervention themes designed to maintain increases in physical activity over time, and were adapted to the walking group context, group dynamics, challenges, and traditions. Lessons Learned After describing of the CBPR process used to adapt stories to walking group sites, we discuss challenges and lessons learned regarding the adaptation and implementation of stories to convey key intervention themes. Conclusions A CBPR approach to incorporating storytelling to convey intervention themes offers an innovative and flexible strategy to promote health toward the elimination of health inequities. PMID:25727980
Choi, Ickwon; Chung, Amy W.; Suscovich, Todd J.; Rerks-Ngarm, Supachai; Pitisuttithum, Punnee; Nitayaphan, Sorachai; Kaewkungwal, Jaranit; O'Connell, Robert J.; Francis, Donald; Robb, Merlin L.; Michael, Nelson L.; Kim, Jerome H.; Alter, Galit; Ackerman, Margaret E.; Bailey-Kellogg, Chris
2015-01-01
The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of data collected from RV144 vaccine recipients, we here employ machine learning methods to identify and model associations between antibody features (IgG subclass and antigen specificity) and effector function activities (antibody dependent cellular phagocytosis, cellular cytotoxicity, and cytokine release). We demonstrate via cross-validation that classification and regression approaches can effectively use the antibody features to robustly predict qualitative and quantitative functional outcomes. This integration of antibody feature and function data within a machine learning framework provides a new, objective approach to discovering and assessing multivariate immune correlates. PMID:25874406
Writing objectives and evaluating learning in the affective domain.
Maier-Lorentz, M M
1999-01-01
Staff educators recognize the importance of affective competency for effective nursing practice. Inservice programs must include affective learning with objectives stated in measurable terms. Staff educators often express frustration in developing affective objectives and evaluating the learning outcome because attitudes and feelings are usually inferred from observations. This article presents affective learning objectives for a gerontological nursing inservice program and a rating scale that measures attitudes to evaluate the learning outcome.
Learning to learn causal models.
Kemp, Charles; Goodman, Noah D; Tenenbaum, Joshua B
2010-09-01
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The schema organizes the objects into categories and specifies the causal powers and characteristic features of these categories and the characteristic causal interactions between categories. A schema of this kind allows causal models for subsequent objects to be rapidly learned, and we explore this accelerated learning in four experiments. Our results confirm that humans learn rapidly about the causal powers of novel objects, and we show that our framework accounts better for our data than alternative models of causal learning. Copyright © 2010 Cognitive Science Society, Inc.
Remembering Math: The Design of Digital Learning Objects to Spark Professional Learning
ERIC Educational Resources Information Center
Halverson, Richard; Wolfenstein, Moses; Williams, Caroline C.; Rockman, Charles
2009-01-01
This article describes how the design of digital learning objects can spark professional learning. The challenge was to build learning objects that would help experienced special education teachers, who had been teaching in math classes, to demonstrate their proficiency in middle and secondary school mathematics on the PRAXIS examination. While…
Collaborative Production of Learning Objects on French Literary Works Using the LOC Software
ERIC Educational Resources Information Center
Penman, Christine
2015-01-01
This case study situates the collaborative design of learning objects (interactive online learning material) using the LOC (Learning Object Creator) software in the context of language activities external to the core learning activities of language students at a UK university. It describes the creative and pedagogical processes leading to the…
Learning Objects and Virtual Learning Environments Technical Evaluation Criteria
ERIC Educational Resources Information Center
Kurilovas, Eugenijus; Dagiene, Valentina
2009-01-01
The main scientific problems investigated in this article deal with technical evaluation of quality attributes of the main components of e-Learning systems (referred here as DLEs--Digital Libraries of Educational Resources and Services), i.e., Learning Objects (LOs) and Virtual Learning Environments (VLEs). The main research object of the work is…
A Case Study: Developing Learning Objects with an Explicit Learning Design
ERIC Educational Resources Information Center
Watson, Julie
2010-01-01
In learning object design an emphasis on visual attractiveness and high technological impact has seemed to persist while content frequently reflects a lack of clear pedagogical basis for the application of learning objects for online learning. Most apparent is the absence of supportive scaffolding for the student user; interactivity built on an…
Smith, Jay; Laskowski, Edward R; Newcomer-Aney, Karen L; Thompson, Jeffrey M; Schaefer, Michael P; Morfe, Erasmus G
2005-04-01
To develop and implement formal learning objectives during a physical medicine and rehabilitation sports medicine rotation and characterize resident experiences with the objectives over a 16-mo period. Prospective, including learning objective development, implementation, and postrotation survey. A total of 69 learning objectives were developed by physical medicine and rehabilitation staff physician consensus, including 39 core objectives. Eighteen residents completed 4-wk sports medicine rotations from January 2003 through April 2004. Residents completed an average of 31 total objectives (45%; range, 3-52), of which 24 (62%; range, 3-35) were core. Residents completed the highest percentage of knee (60%), shoulder (57%), and ankle-foot (57%) objectives and reported that objectives related to these areas were most effective to facilitate learning. In general, residents reported that objective content was good and that the objectives delineated important concepts to learn during the rotation. Seventeen of 18 residents indicated that the objectives should be permanently implemented into the sports rotation and that similar objectives should be developed for other rotations. Based on our experience and the recommendations of residents, the average resident should be able to complete approximately 30 objectives during a typical 4-wk rotation. Successful implementation of specific, consensus-derived learning objectives is possible within the context of a busy clinical practice. Our initial physician staff and resident experience with the objectives suggests that this model may be useful as a supplementary educational tool in physical medicine and rehabilitation residency programs.
Student Engagement: Key to Personalized Learning
ERIC Educational Resources Information Center
Ferlazzo, Larry
2017-01-01
Personalized learning has the potential to greatly improve student achievement--but realistic teachers know that any instructional strategy will only be effective if students are willing to do the work. That is why Larry Ferlazzo emphasizes the importance of weaving intrinsic motivation into every personalized learning classroom. Four key elements…
Thinking Skills in the Early Years.
ERIC Educational Resources Information Center
Bayley, Ros
2002-01-01
This article describes the High/Scope Cognitively Oriented Pre-School Curriculum that recognizes that the power to learn resides in the child and focuses on active learning practices. It discusses child-initiated learning, key skills for thinking, key concepts involved in teaching thinking skills, and activities that support the development of…
A Connected History of Health and Education: Learning Together toward a Better City
ERIC Educational Resources Information Center
Howard, Joanne; Howard, Diane; Dotson, Ebbin
2015-01-01
The infrastructure, financial, and human resource histories of health and education are offered as key components of future strategic planning initiatives in learning cities, and 10 key components of strategic planning initiatives designed to enhance the health and wealth of citizens of learning cities are discussed.
Key Factors to Instructors' Satisfaction of Learning Management Systems in Blended Learning
ERIC Educational Resources Information Center
Al-Busaidi, Kamla Ali; Al-Shihi, Hafedh
2012-01-01
Learning Management System (LMS) enables institutions to administer their educational resources, and support their traditional classroom education and distance education. LMS survives through instructors' continuous use, which may be to a great extent associated with their satisfaction of the LMS. Consequently, this study examined the key factors…
Laver, S
1999-01-01
Tsungirirai is a counseling and information service developed during 1994 in response to the growing problem of HIV/AIDS in the small town of Norton, southwest of Harare, Zimbabwe. The objectives of the project include identification of key leaders in the area, determination of the setting in which HIV was spreading, and community consultation in program design and implementation. Tsungirirai's initial activities included a series of workshops on participatory techniques particularly the LADA (Listening-Appraisal-Dialogue-Action) method for key leaders, community men, women, and adolescents. Workshop participants demonstrated different views concerning HIV/AIDS problems. Key leaders viewed the HIV/AIDS problem within the context of existing laws that contradict traditional mores, while the youth linked the problem of HIV to the issue of unemployment and lack of recreation. Lessons learned include the following: 1) stop talking and listen; 2) start where people are at instead of telling them what they already know; 3) let the people decide; 4) turn a dream into reality; and 5) facilitate awareness process instead of leading it.
Learning to Learn: Improving Attainment, Closing the Gap at Key Stage 3
ERIC Educational Resources Information Center
Mannion, James; Mercer, Neil
2016-01-01
In 2010, a comprehensive secondary school in the south of England implemented a whole-school approach to "learning to learn" (L2L). Drawing on a range of evidence-based practices, a team of teachers worked collaboratively to design and deliver a taught L2L curriculum to all students throughout Key Stage 3. In total, the first cohort of…
ERIC Educational Resources Information Center
Guthrie, Patricia Ann
2010-01-01
In recent years, learning objects have emerged as an instructional tool for teachers. Digital libraries and collections provide teachers with free or fee-base access to a variety of learning objects from photos and famous speeches to Flash animations and interactive Java Applets. Learning objects offer opportunities for students to interact with…
ERIC Educational Resources Information Center
Alvarado, Amy Edmonds; Herr, Patricia R.
This book explores the concept of using everyday objects as a process initiated both by students and teachers, encouraging growth in student observation, inquisitiveness, and reflection in learning. After "Introduction: Welcome to Inquiry-Based Learning using Everyday Objects (Object-Based Inquiry), there are nine chapters in two parts. Part 1,…
Competition between multiple words for a referent in cross-situational word learning
Benitez, Viridiana L.; Yurovsky, Daniel; Smith, Linda B.
2016-01-01
Three experiments investigated competition between word-object pairings in a cross-situational word-learning paradigm. Adults were presented with One-Word pairings, where a single word labeled a single object, and Two-Word pairings, where two words labeled a single object. In addition to measuring learning of these two pairing types, we measured competition between words that refer to the same object. When the word-object co-occurrences were presented intermixed in training (Experiment 1), we found evidence for direct competition between words that label the same referent. Separating the two words for an object in time eliminated any evidence for this competition (Experiment 2). Experiment 3 demonstrated that adding a linguistic cue to the second label for a referent led to different competition effects between adults who self-reported different language learning histories, suggesting both distinctiveness and language learning history affect competition. Finally, in all experiments, competition effects were unrelated to participants’ explicit judgments of learning, suggesting that competition reflects the operating characteristics of implicit learning processes. Together, these results demonstrate that the role of competition between overlapping associations in statistical word-referent learning depends on time, the distinctiveness of word-object pairings, and language learning history. PMID:27087742
ERIC Educational Resources Information Center
Özdemir, Muzaffer
2016-01-01
This study investigates the relationships between the primary learning styles of students and different learning objects presented simultaneously in an online learning environment in the context of the usage levels of these objects. A total of 103 sophomores from a Turkish State University participated in the study. Felder-Solomon Index of…
Building Interoperable Learning Objects Using Reduced Learning Object Metadata
ERIC Educational Resources Information Center
Saleh, Mostafa S.
2005-01-01
The new e-learning generation depends on Semantic Web technology to produce learning objects. As the production of these components is very costly, they should be produced and registered once, and reused and adapted in the same context or in other contexts as often as possible. To produce those components, developers should use learning standards…
NASA Astrophysics Data System (ADS)
Chan, Man Ching Esther; Clarke, David J.; Clarke, Doug M.; Roche, Anne; Cao, Yiming; Peter-Koop, Andrea
2018-03-01
The major premise of this project is that teachers learn from the act of teaching a lesson. Rather than asking "What must a teacher already know in order to practice effectively?", this project asks "What might a teacher learn through their activities in the classroom and how might this learning be optimised?" In this project, controlled conditions are created utilising purposefully designed and trialled lesson plans to investigate the process of teacher knowledge construction, with teacher selective attention proposed as a key mediating variable. In order to investigate teacher learning through classroom practice, the project addresses the following questions: To what classroom objects, actions and events do teachers attend and with what consequence for their learning? Do teachers in different countries attend to different classroom events and consequently derive different learning benefits from teaching a lesson? This international project combines focused case studies with an online survey of mathematics teachers' selective attention and consequent learning in Australia, China and Germany. Data include the teacher's adaptation of a pre-designed lesson, the teacher's actions during the lesson, the teacher's reflective thoughts about the lesson and, most importantly, the consequences for the planning and delivery of a second lesson. The combination of fine-grained, culturally situated case studies and large-scale online survey provides mutually informing benefits from each research approach. The research design, so constituted, offers the means to a new and scalable vision of teacher learning and its promotion.
NASA Astrophysics Data System (ADS)
Wang, Jeremy Yi-Ming
This dissertation examines the thesis that implicit learning plays a role in learning about scientific phenomena, and subsequently, in conceptual change. Decades of research in learning science demonstrate that a primary challenge of science education is overcoming prior, naive knowledge of natural phenomena in order to gain scientific understanding. Until recently, a key assumption of this research has been that to develop scientific understanding, learners must abandon their prior scientific intuitions and replace them with scientific concepts. However, a growing body of research shows that scientific intuitions persist, even among science experts. This suggests that naive intuitions are suppressed, not supplanted, as learners gain scientific understanding. The current study examines two potential roles of implicit learning processes in the development of scientific knowledge. First, implicit learning is a source of cognitive structures that impede science learning. Second, tasks that engage implicit learning processes can be employed to activate and suppress prior intuitions, enhancing the likelihood that scientific concepts are adopted and applied. This second proposal is tested in two experiments that measure training-induced changes in intuitive and conceptual knowledge related to sinking and floating objects in water. In Experiment 1, an implicit learning task was developed to examine whether implicit learning can induce changes in performance on near and far transfer tasks. The results of this experiment provide evidence that implicit learning tasks activate and suppress scientific intuitions. Experiment 2 examined the effects of combining implicit learning with traditional, direct instruction to enhance explicit learning of science concepts. This experiment demonstrates that sequencing implicit learning task before and after direct instruction has different effects on intuitive and conceptual knowledge. Together, these results suggest a novel approach for enhancing learning for conceptual change in science education.
Effects of Learning Melodies by Ear on Performance Skills and Student Attitudes
ERIC Educational Resources Information Center
Musco, Ann Marie
2009-01-01
This study examined the effects of playing by ear in selected keys on the abilities of musicians (N = 28) to play by ear and sight-read in those keys. Middle school band students in the experimental group learned melodies by ear in one familiar and two unfamiliar keys, and did no music reading in the new keys, while students in the contact-control…
Hempel, Dorothea; Sinnathurai, Sivajini; Haunhorst, Stephanie; Seibel, Armin; Michels, Guido; Heringer, Frank; Recker, Florian; Breitkreutz, Raoul
2016-08-01
Theoretical knowledge, visual perception, and sensorimotor skills are key elements in ultrasound education. Classroom-based presentations are used routinely to teach theoretical knowledge, whereas visual perception and sensorimotor skills typically require hands-on training (HT). We aimed to compare the effect of classroom-based lectures versus a case-based e-learning (based on clinical cases only) on the hands-on performance of trainees during an emergency ultrasound course. This is a randomized, controlled, parallel-group study. Sixty-two medical students were randomized into two groups [group 1 (G1) and group 2 (G2)]. G1 (n=29) was subjected to a precourse e-learning, based on 14 short screencasts (each 5 min), an on-site discussion (60 min), and a standardized HT session on the day of the course. G2 (n=31) received classroom-based presentations on the day of the course before an identical HT session. Both groups completed a multiple-choice (MC) pretest (test A), a practical postcourse test (objective structured clinical exam), and MC tests directly after the HT (test B) and 1 day after the course (test C). The Mann-Whitney U-test was used for statistical analysis. G1 performed markedly better in test A (median 84.2, 25%; 75% percentile: 68.5; 92.2) compared with G2 (65.8; 53.8; 80.4), who had not participated in case-based e-learning (P=0.0009). No differences were found in the objective structured clinical exam, test B, and test C. e-learning exclusively based on clinical cases is an effective method of education in preparation for HT sessions and can reduce attendance time in ultrasound courses.
Wang, Jack T. H.; Schembri, Mark A.; Hall, Roy A.
2013-01-01
Designing and implementing assessment tasks in large-scale undergraduate science courses is a labor-intensive process subject to increasing scrutiny from students and quality assurance authorities alike. Recent pedagogical research has provided conceptual frameworks for teaching introductory undergraduate microbiology, but has yet to define best-practice assessment guidelines. This study assessed the applicability of Biggs’ theory of constructive alignment in designing consistent learning objectives, activities, and assessment items that aligned with the American Society for Microbiology’s concept-based microbiology curriculum in MICR2000, an introductory microbiology course offered at the University of Queensland, Australia. By improving the internal consistency in assessment criteria and increasing the number of assessment items explicitly aligned to the course learning objectives, the teaching team was able to efficiently provide adequate feedback on numerous assessment tasks throughout the semester, which contributed to improved student performance and learning gains. When comparing the constructively aligned 2011 offering of MICR2000 with its 2010 counterpart, students obtained higher marks in both coursework assignments and examinations as the semester progressed. Students also valued the additional feedback provided, as student rankings for course feedback provision increased in 2011 and assessment and feedback was identified as a key strength of MICR2000. By designing MICR2000 using constructive alignment and iterative assessment tasks that followed a common set of learning outcomes, the teaching team was able to effectively deliver detailed and timely feedback in a large introductory microbiology course. This study serves as a case study for how constructive alignment can be integrated into modern teaching practices for large-scale courses. PMID:23858350
Implementing Infrastructures for Managing Learning Objects
ERIC Educational Resources Information Center
Klemke, Roland; Ternier, Stefaan; Kalz, Marco; Specht, Marcus
2010-01-01
Making learning objects available is critical to reuse learning resources. Making content transparently available and providing added value to different stakeholders is among the goals of the European Commission's eContentplus programme. This paper analyses standards and protocols relevant for making learning objects accessible in distributed data…
Credit assignment between body and object probed by an object transportation task.
Kong, Gaiqing; Zhou, Zhihao; Wang, Qining; Kording, Konrad; Wei, Kunlin
2017-10-17
It has been proposed that learning from movement errors involves a credit assignment problem: did I misestimate properties of the object or those of my body? For example, an overestimate of arm strength and an underestimate of the weight of a coffee cup can both lead to coffee spills. Though previous studies have found signs of simultaneous learning of the object and of the body during object manipulation, there is little behavioral evidence about their quantitative relation. Here we employed a novel weight-transportation task, in which participants lift the first cup filled with liquid while assessing their learning from errors. Specifically, we examined their transfer of learning when switching to a contralateral hand, the second identical cup, or switching both hands and cups. By comparing these transfer behaviors, we found that 25% of the learning was attributed to the object (simply because of the use of the same cup) and 58% of the learning was attributed to the body (simply because of the use of the same hand). The nervous system thus seems to partition the learning of object manipulation between the object and the body.
Predictable Locations Aid Early Object Name Learning
Benitez, Viridiana L.; Smith, Linda B.
2012-01-01
Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18- month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The three experiments show that infants learn names for objects when those objects have predictable rather than varied locations, that infants who anticipate the location of named objects better learn those object names, and that infants integrate experiences that are separated in time but share a common location. Taken together, these results suggest that localized attention, cued attention, and spatial indexing are an inter-related set of processes in young children that aid in the early building of coherent object representations. The relevance of the experimental results and spatial attention for everyday word learning are discussed. PMID:22989872
2012-01-01
Objective. To evaluate preceptors’ perception of their ability to perform the Structured Practical Experiences in Pharmacy (SPEP) learning objectives through a self-assessment activity. Methods. A self-assessment instrument consisting of 28 learning objectives associated with clinic, community, and hospital pharmacy practice experiences were developed. Preceptors rated their performance ability for each of the learning objectives using a 3-point Likert scale. Results. Of the 116 preceptors, 89 (77%) completed the self-assessment survey instrument. The overall preceptor responses to the items on performance of the 28 SPEP learning objectives ranged from good to excellent. Years of experience, practice experience setting, and involvement as a SPEP or SPEP and PharmD preceptor had no influence on their self-reported capabilities. Conclusion. Most preceptors rated their ability to perform the learning objectives for the structured practical experiences in pharmacy as high. Competency areas requiring further preceptor development were identified. PMID:23193333
Ross, Bernhard; Barat, Masihullah; Fujioka, Takako
2017-06-14
Auditory and sensorimotor brain areas interact during the action-perception cycle of sound making. Neurophysiological evidence of a feedforward model of the action and its outcome has been associated with attenuation of the N1 wave of auditory evoked responses elicited by self-generated sounds, such as talking and singing or playing a musical instrument. Moreover, neural oscillations at β-band frequencies have been related to predicting the sound outcome after action initiation. We hypothesized that a newly learned action-perception association would immediately modify interpretation of the sound during subsequent listening. Nineteen healthy young adults (7 female, 12 male) participated in three magnetoencephalographic recordings while first passively listening to recorded sounds of a bell ringing, then actively striking the bell with a mallet, and then again listening to recorded sounds. Auditory cortex activity showed characteristic P1-N1-P2 waves. The N1 was attenuated during sound making, while P2 responses were unchanged. In contrast, P2 became larger when listening after sound making compared with the initial naive listening. The P2 increase occurred immediately, while in previous learning-by-listening studies P2 increases occurred on a later day. Also, reactivity of β-band oscillations, as well as θ coherence between auditory and sensorimotor cortices, was stronger in the second listening block. These changes were significantly larger than those observed in control participants (eight female, five male), who triggered recorded sounds by a key press. We propose that P2 characterizes familiarity with sound objects, whereas β-band oscillation signifies involvement of the action-perception cycle, and both measures objectively indicate functional neuroplasticity in auditory perceptual learning. SIGNIFICANCE STATEMENT While suppression of auditory responses to self-generated sounds is well known, it is not clear whether the learned action-sound association modifies subsequent perception. Our study demonstrated the immediate effects of sound-making experience on perception using magnetoencephalographic recordings, as reflected in the increased auditory evoked P2 wave, increased responsiveness of β oscillations, and enhanced connectivity between auditory and sensorimotor cortices. The importance of motor learning was underscored as the changes were much smaller in a control group using a key press to generate the sounds instead of learning to play the musical instrument. The results support the rapid integration of a feedforward model during perception and provide a neurophysiological basis for the application of music making in motor rehabilitation training. Copyright © 2017 the authors 0270-6474/17/375948-12$15.00/0.
E-learning policies, practices and challenges in two Norwegian organizations.
Welle-Strand, Anne; Thune, Taran
2003-05-01
This article reports a pilot study on the uses of technology to enable learning within a formal educational setting in a higher education institution and within a corporation. These two Norwegian cases were selected due to their commitment to technology-enabled learning, as expressed in policy and strategy documents. The aim was to investigate the commitment and actual use of information and communications technology (ICT) for learning as well as what key actors think are the major challenges for successful large scale implementation of ICT for learning. The findings indicate that there is insufficient follow-up on e-learning policies and that there is a general lack of strategic direction and leadership in this area. The key challenges respondents highlight relate to the need for a systematic and pedagogical approach to e-learning in which three equally important considerations must be balanced: organization, pedagogy and technology. Key perspectives of a coherent pedagogical and organizational framework for planning e-learning are discussed.
Age-related differences in perceptuomotor procedural learning in children.
Lejeune, Caroline; Catale, Corinne; Schmitz, Xavier; Quertemont, Etienne; Meulemans, Thierry
2013-10-01
Procedural learning is generally considered to proceed in a series of phases, with cognitive resources playing an important role during the initial step. From a developmental perspective, little is known about the development of procedural learning or the role played by explicit cognitive processes during learning. The main objectives of this study were (a) to determine whether procedural learning performance improves with age by comparing groups of 7-year-old children, 10-year-old children, and adults and (b) to investigate the role played by executive functions during the acquisition in these three age groups. The 76 participants were assessed on a computerized adaptation of the mirror tracing paradigm. Results revealed that the youngest children had more difficulty in adapting to the task (they were slower and committed more errors at the beginning of the learning process) than 10-year-olds, but despite this age effect observed at the outset, all children improved performance across trials and transferred their skill to a different figure as well as adults. Correlational analyses showed that inhibition abilities play a key role in the performance of 10-year-olds and adults at the beginning of the learning but not in that of 7-year-olds. Overall, our results suggest that the age-related differences observed in our procedural learning task are at least partly due to the differential involvement of inhibition abilities, which may facilitate learning (so long as they are sufficiently developed) during the initial steps of the learning process; however, they would not be a necessary condition for skill learning to occur. Copyright © 2013 Elsevier Inc. All rights reserved.
Participative Knowledge Production of Learning Objects for E-Books.
ERIC Educational Resources Information Center
Dodero, Juan Manuel; Aedo, Ignacio; Diaz, Paloma
2002-01-01
Defines a learning object as any digital resource that can be reused to support learning and thus considers electronic books as learning objects. Highlights include knowledge management; participative knowledge production, i.e. authoring electronic books by a distributed group of authors; participative knowledge production architecture; and…
Interprofessional pharmacy observation activity for third-year dental students.
Conway, Susan E; Smith, Winter J; Truong, Teresa H; Shadid, Jill
2014-09-01
Interprofessional learning is a key component of today's health sciences education. Within a two-course series in dental pharmacology and therapeutics, a dental curriculum was revised to provide an interprofessional activity to expose dental students to a community pharmacy setting. The objectives of this activity were to augment students' learning about drug laws and prescription writing, as well as to foster interprofessional relationships and collaboration between pharmacists and dentists. Dental students were scheduled for one-hour observations at community pharmacies on campus. Learning objectives to guide this activity focused on demonstrating community pharmacy operating procedures, identifying ways to minimize prescribing and dosing errors, and understanding how pharmacists can assist dentists in prescribing. Following the observation, students were required to submit a written assignment, which accounted for 14 percent of their course grade. All 119 dental students (100 percent) enrolled in the course for the summers of 2012 and 2013 completed the activity. The average grade on the written assignment was 96.2 out of 100. At the end of the course, students were asked to participate in an online course evaluation survey, for which response rates were 37 percent and 43 percent for 2012 and 2013, respectively. The students rated the pharmacy observation activity favorably on this course evaluation. The pharmacy observation activity provided a successful interprofessional component to the didactic pharmacy course and was well received by the dental students as well as the community pharmacists.
ERIC Educational Resources Information Center
Wang, Tzone I; Tsai, Kun Hua; Lee, Ming Che; Chiu, Ti Kai
2007-01-01
With vigorous development of the Internet, especially the web page interaction technology, distant E-learning has become more and more realistic and popular. Digital courses may consist of many learning units or learning objects and, currently, many learning objects are created according to SCORM standard. It can be seen that, in the near future,…
Learning Object Retrieval and Aggregation Based on Learning Styles
ERIC Educational Resources Information Center
Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel
2017-01-01
The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…
NASA Astrophysics Data System (ADS)
La Barbera, Selina; Vincent, Adrien F.; Vuillaume, Dominique; Querlioz, Damien; Alibart, Fabien
2016-12-01
Bio-inspired computing represents today a major challenge at different levels ranging from material science for the design of innovative devices and circuits to computer science for the understanding of the key features required for processing of natural data. In this paper, we propose a detail analysis of resistive switching dynamics in electrochemical metallization cells for synaptic plasticity implementation. We show how filament stability associated to joule effect during switching can be used to emulate key synaptic features such as short term to long term plasticity transition and spike timing dependent plasticity. Furthermore, an interplay between these different synaptic features is demonstrated for object motion detection in a spike-based neuromorphic circuit. System level simulation presents robust learning and promising synaptic operation paving the way to complex bio-inspired computing systems composed of innovative memory devices.
Context or Key? Language in Four Adult Learning Programmes
ERIC Educational Resources Information Center
Robinson, Clinton
2007-01-01
Context is a key factor in designing and delivering adult learning programmes, and in multilingual environments the choice of language plays a decisive role. Four programmes, two in Asia (Bhutan Myanmar) and two in Africa (Ghana and Uganda), which focus on learning for development, integrate language considerations in different ways, related both…
Key Characteristics of Successful Science Learning: The Promise of Learning by Modelling
ERIC Educational Resources Information Center
Mulder, Yvonne G.; Lazonder, Ard W.; de Jong, Ton
2015-01-01
The basic premise underlying this research is that scientific phenomena are best learned by creating an external representation that complies with the complex and dynamic nature of such phenomena. Effective representations are assumed to incorporate three key characteristics: they are graphical, dynamic, and provide a pre-specified outline of the…
Blended Learning in Higher Education: Current and Future Challenges in Surveying Education
ERIC Educational Resources Information Center
El-Mowafy, Ahmed; Kuhn, Michael; Snow, Tony
2013-01-01
The development of a blended learning approach to enhance surveying education is discussed. The need for this learning strategy is first investigated based on a major review of the surveying course, including analysis of its content, benchmarking with key national and international universities, and surveys of key stakeholders. Appropriate blended…
Key Events in Student Leaders' Lives and Lessons Learned from Them
ERIC Educational Resources Information Center
Sessa, Valerie I.; Morgan, Brett V.; Kalenderli, Selin; Hammond, Fanny E.
2014-01-01
This descriptive study used an interview protocol developed by the Center for Creative Leadership with 50 college student leaders to determine what key developmental events young college leaders experience and the leadership lessons learned from these events. Students discussed 180 events and 734 lessons learned from them. Most events defined by…
ERIC Educational Resources Information Center
Huang, Rui-Ting; Hsiao, Chia-Hua; Tang, Tzy-Wen; Lien, Tsung-Cheng
2014-01-01
The primary purpose of this study was to explore the key factors that could affect mobile learning continuance intention (MLCI), and examine the moderating effect of perceived flexibility advantages (PFA) on the relationship between key mobile learning elements and continuance intention. Five hundred undergraduate students who had previously…
Key Competencies, Assessment and Learning Stories
ERIC Educational Resources Information Center
Davis, Keryn; Wright, Jocelyn; Carr, Margaret; Peters, Sally
2013-01-01
Developed in response to a strong interest in the use of Learning Stories in schools, this resource is designed to answer some common questions asked by teachers. The assessment of Key Competencies is a topic that deserves a lot of discussion. A Key Competency is complex: it includes social, emotional, cognitive and cultural aspects, and is…
Learning Objects--Instructional Metadata and Sequencing.
ERIC Educational Resources Information Center
Redeker, Giselher
The main focus of current discussions within the standardization process of learning technology is on economical opportunities and technical aspects of learning objects. There has been little discussion about the instructional or didactical issues. The purpose of this paper is to conceptualize a taxonomy of learning objects for the facilitation of…
The International Learning Object Metadata Survey
ERIC Educational Resources Information Center
Friesen, Norm
2004-01-01
A wide range of projects and organizations is currently making digital learning resources (learning objects) available to instructors, students, and designers via systematic, standards-based infrastructures. One standard that is central to many of these efforts and infrastructures is known as Learning Object Metadata (IEEE 1484.12.1-2002, or LOM).…
Learning the 3-D structure of objects from 2-D views depends on shape, not format
Tian, Moqian; Yamins, Daniel; Grill-Spector, Kalanit
2016-01-01
Humans can learn to recognize new objects just from observing example views. However, it is unknown what structural information enables this learning. To address this question, we manipulated the amount of structural information given to subjects during unsupervised learning by varying the format of the trained views. We then tested how format affected participants' ability to discriminate similar objects across views that were rotated 90° apart. We found that, after training, participants' performance increased and generalized to new views in the same format. Surprisingly, the improvement was similar across line drawings, shape from shading, and shape from shading + stereo even though the latter two formats provide richer depth information compared to line drawings. In contrast, participants' improvement was significantly lower when training used silhouettes, suggesting that silhouettes do not have enough information to generate a robust 3-D structure. To test whether the learned object representations were format-specific or format-invariant, we examined if learning novel objects from example views transfers across formats. We found that learning objects from example line drawings transferred to shape from shading and vice versa. These results have important implications for theories of object recognition because they suggest that (a) learning the 3-D structure of objects does not require rich structural cues during training as long as shape information of internal and external features is provided and (b) learning generates shape-based object representations independent of the training format. PMID:27153196
Word Generalization by a Dog (Canis familiaris): Is Shape Important?
van der Zee, Emile; Zulch, Helen; Mills, Daniel
2012-01-01
We investigated the presence of a key feature of human word comprehension in a five year old Border Collie: the generalization of a word referring to an object to other objects of the same shape, also known as shape bias. Our first experiment confirmed a solid history of word learning in the dog, thus making it possible for certain object features to have become central in his word comprehension. Using an experimental paradigm originally employed to establish shape bias in children and human adults we taught the dog arbitrary object names (e.g. dax) for novel objects. Two experiments showed that when briefly familiarized with word-object mappings the dog did not generalize object names to object shape but to object size. A fourth experiment showed that when familiarized with a word-object mapping for a longer period of time the dog tended to generalize the word to objects with the same texture. These results show that the dog tested did not display human-like word comprehension, but word generalization and word reference development of a qualitatively different nature compared to humans. We conclude that a shape bias for word generalization in humans is due to the distinct evolutionary history of the human sensory system for object identification and that more research is necessary to confirm qualitative differences in word generalization between humans and dogs. PMID:23185321
Word generalization by a dog (Canis familiaris): is shape important?
van der Zee, Emile; Zulch, Helen; Mills, Daniel
2012-01-01
We investigated the presence of a key feature of human word comprehension in a five year old Border Collie: the generalization of a word referring to an object to other objects of the same shape, also known as shape bias. Our first experiment confirmed a solid history of word learning in the dog, thus making it possible for certain object features to have become central in his word comprehension. Using an experimental paradigm originally employed to establish shape bias in children and human adults we taught the dog arbitrary object names (e.g. dax) for novel objects. Two experiments showed that when briefly familiarized with word-object mappings the dog did not generalize object names to object shape but to object size. A fourth experiment showed that when familiarized with a word-object mapping for a longer period of time the dog tended to generalize the word to objects with the same texture. These results show that the dog tested did not display human-like word comprehension, but word generalization and word reference development of a qualitatively different nature compared to humans. We conclude that a shape bias for word generalization in humans is due to the distinct evolutionary history of the human sensory system for object identification and that more research is necessary to confirm qualitative differences in word generalization between humans and dogs.
Effect of tDCS on task relevant and irrelevant perceptual learning of complex objects.
Van Meel, Chayenne; Daniels, Nicky; de Beeck, Hans Op; Baeck, Annelies
2016-01-01
During perceptual learning the visual representations in the brain are altered, but these changes' causal role has not yet been fully characterized. We used transcranial direct current stimulation (tDCS) to investigate the role of higher visual regions in lateral occipital cortex (LO) in perceptual learning with complex objects. We also investigated whether object learning is dependent on the relevance of the objects for the learning task. Participants were trained in two tasks: object recognition using a backward masking paradigm and an orientation judgment task. During both tasks, an object with a red line on top of it were presented in each trial. The crucial difference between both tasks was the relevance of the object: the object was relevant for the object recognition task, but not for the orientation judgment task. During training, half of the participants received anodal tDCS stimulation targeted at the lateral occipital cortex (LO). Afterwards, participants were tested on how well they recognized the trained objects, the irrelevant objects presented during the orientation judgment task and a set of completely new objects. Participants stimulated with tDCS during training showed larger improvements of performance compared to participants in the sham condition. No learning effect was found for the objects presented during the orientation judgment task. To conclude, this study suggests a causal role of LO in relevant object learning, but given the rather low spatial resolution of tDCS, more research on the specificity of this effect is needed. Further, mere exposure is not sufficient to train object recognition in our paradigm.
[Digital learning object for diagnostic reasoning in nursing applied to the integumentary system].
da Costa, Cecília Passos Vaz; Luz, Maria Helena Barros Araújo
2015-12-01
To describe the creation of a digital learning object for diagnostic reasoning in nursing applied to the integumentary system at a public university of Piaui. A methodological study applied to technological production based on the pedagogical framework of problem-based learning. The methodology for creating the learning object observed the stages of analysis, design, development, implementation and evaluation recommended for contextualized instructional design. The revised taxonomy of Bloom was used to list the educational goals. The four modules of the developed learning object were inserted into the educational platform Moodle. The theoretical assumptions allowed the design of an important online resource that promotes effective learning in the scope of nursing education. This study should add value to nursing teaching practices through the use of digital learning objects for teaching diagnostic reasoning applied to skin and skin appendages.
Developing Learning Objectives for Accounting Ethics Using Bloom's Taxonomy
ERIC Educational Resources Information Center
Kidwell, Linda A.; Fisher, Dann G.; Braun, Robert L.; Swanson, Diane L.
2013-01-01
The purpose of our article is to offer a set of core knowledge learning objectives for accounting ethics education. Using Bloom's taxonomy of educational objectives, we develop learning objectives in six content areas: codes of ethical conduct, corporate governance, the accounting profession, moral development, classical ethics theories, and…
Design, Development, and Validation of Learning Objects
ERIC Educational Resources Information Center
Nugent, Gwen; Soh, Leen-Kiat; Samal, Ashok
2006-01-01
A learning object is a small, stand-alone, mediated content resource that can be reused in multiple instructional contexts. In this article, we describe our approach to design, develop, and validate Shareable Content Object Reference Model (SCORM) compliant learning objects for undergraduate computer science education. We discuss the advantages of…
Rice, Ian; Gagnon, Dany; Gallagher, Jere; Boninger, Michael
2010-01-01
Background/Objective: As considerable progress has been made in laboratory-based assessment of manual wheelchair propulsion biomechanics, the necessity to translate this knowledge into new clinical tools and treatment programs becomes imperative. The objective of this study was to describe the development of a manual wheelchair propulsion training program aimed to promote the development of an efficient propulsion technique among long-term manual wheelchair users. Methods: Motor learning theory principles were applied to the design of biomechanical feedback-based learning software, which allows for random discontinuous real-time visual presentation of key spatio-temporal and kinetic parameters. This software was used to train a long-term wheelchair user on a dynamometer during 3 low-intensity wheelchair propulsion training sessions over a 3-week period. Biomechanical measures were recorded with a SmartWheel during over ground propulsion on a 50-m level tile surface at baseline and 3 months after baseline. Results: Training software was refined and administered to a participant who was able to improve his propulsion technique by increasing contact angle while simultaneously reducing stroke cadence, mean resultant force, peak and mean moment out of plane, and peak rate of rise of force applied to the pushrim after training. Conclusions: The proposed propulsion training protocol may lead to favorable changes in manual wheelchair propulsion technique. These changes could limit or prevent upper limb injuries among manual wheelchair users. In addition, many of the motor learning theory–based techniques examined in this study could be applied to training individuals in various stages of rehabilitation to optimize propulsion early on. PMID:20397442
Brants, Marijke; Bulthé, Jessica; Daniels, Nicky; Wagemans, Johan; Op de Beeck, Hans P
2016-02-15
Visual object perception is an important function in primates which can be fine-tuned by experience, even in adults. Which factors determine the regions and the neurons that are modified by learning is still unclear. Recently, it was proposed that the exact cortical focus and distribution of learning effects might depend upon the pre-learning mapping of relevant functional properties and how this mapping determines the informativeness of neural units for the stimuli and the task to be learned. From this hypothesis we would expect that visual experience would strengthen the pre-learning distributed functional map of the relevant distinctive object properties. Here we present a first test of this prediction in twelve human subjects who were trained in object categorization and differentiation, preceded and followed by a functional magnetic resonance imaging session. Specifically, training increased the distributed multi-voxel pattern information for trained object distinctions in object-selective cortex, resulting in a generalization from pre-training multi-voxel activity patterns to after-training activity patterns. Simulations show that the increased selectivity combined with the inter-session generalization is consistent with a training-induced strengthening of a pre-existing selectivity map. No training-related neural changes were detected in other regions. In sum, training to categorize or individuate objects strengthened pre-existing representations in human object-selective cortex, providing a first indication that the neuroanatomical distribution of learning effects depends upon the pre-learning mapping of visual object properties. Copyright © 2015 Elsevier Inc. All rights reserved.
Case Study Teaching Method Improves Student Performance and Perceptions of Learning Gains†
Bonney, Kevin M.
2015-01-01
Following years of widespread use in business and medical education, the case study teaching method is becoming an increasingly common teaching strategy in science education. However, the current body of research provides limited evidence that the use of published case studies effectively promotes the fulfillment of specific learning objectives integral to many biology courses. This study tested the hypothesis that case studies are more effective than classroom discussions and textbook reading at promoting learning of key biological concepts, development of written and oral communication skills, and comprehension of the relevance of biological concepts to everyday life. This study also tested the hypothesis that case studies produced by the instructor of a course are more effective at promoting learning than those produced by unaffiliated instructors. Additionally, performance on quantitative learning assessments and student perceptions of learning gains were analyzed to determine whether reported perceptions of learning gains accurately reflect academic performance. The results reported here suggest that case studies, regardless of the source, are significantly more effective than other methods of content delivery at increasing performance on examination questions related to chemical bonds, osmosis and diffusion, mitosis and meiosis, and DNA structure and replication. This finding was positively correlated to increased student perceptions of learning gains associated with oral and written communication skills and the ability to recognize connections between biological concepts and other aspects of life. Based on these findings, case studies should be considered as a preferred method for teaching about a variety of concepts in science courses. PMID:25949753
Case study teaching method improves student performance and perceptions of learning gains.
Bonney, Kevin M
2015-05-01
Following years of widespread use in business and medical education, the case study teaching method is becoming an increasingly common teaching strategy in science education. However, the current body of research provides limited evidence that the use of published case studies effectively promotes the fulfillment of specific learning objectives integral to many biology courses. This study tested the hypothesis that case studies are more effective than classroom discussions and textbook reading at promoting learning of key biological concepts, development of written and oral communication skills, and comprehension of the relevance of biological concepts to everyday life. This study also tested the hypothesis that case studies produced by the instructor of a course are more effective at promoting learning than those produced by unaffiliated instructors. Additionally, performance on quantitative learning assessments and student perceptions of learning gains were analyzed to determine whether reported perceptions of learning gains accurately reflect academic performance. The results reported here suggest that case studies, regardless of the source, are significantly more effective than other methods of content delivery at increasing performance on examination questions related to chemical bonds, osmosis and diffusion, mitosis and meiosis, and DNA structure and replication. This finding was positively correlated to increased student perceptions of learning gains associated with oral and written communication skills and the ability to recognize connections between biological concepts and other aspects of life. Based on these findings, case studies should be considered as a preferred method for teaching about a variety of concepts in science courses.
Sociocultural Learning Theory in Practice: Implications for Athletic Training Educators
Peer, Kimberly S.; McClendon, Ronald C.
2002-01-01
Objective: To discuss cognitive and sociocultural learning theory literature related to athletic training instructional and evaluation strategies while providing support for the application of these practices in the didactic and clinical components of athletic training education programs. Data Sources: We searched Educational Resources Information Center (ERIC) and Education Abstracts from 1975–2001 using the key words social cognitive, sociocultural learning theory, constructivism, and athletic training education. Current literature in the fields of educational psychology and athletic training education provides the foundation for applying theory to practice with specific emphasis on the theoretic framework and application of sociocultural learning theory strategies in athletic training education. Data Synthesis: Athletic training educators must have a strong fundamental knowledge of learning theory and a commitment to incorporate theory into educational practice. We integrate literature from both fields to generate practical strategies for using sociocultural learning theory in athletic training education. Conclusions/Recommendations: Social cognitive and sociocultural learning theory advocates a constructive, self-regulated, and goal-oriented environment with the student at the center of the educational process. Although a shift exists in athletic training education toward more active instructional strategies with the implementation of competency-based education, many educational environments are still dominated by traditional didactic instructional methods promoting student passivity. As athletic training education programs strive to increase accountability, educators in the field must critically analyze teaching and evaluation methods and integrate new material to ensure that learning is maximized. PMID:12937534
Learning Objects as Tools for Teaching Information Literacy Online: A Survey of Librarian Usage
ERIC Educational Resources Information Center
Mestre, Lori S.; Baures, Lisa; Niedbala, Mona; Bishop, Corinne; Cantrell, Sarah; Perez, Alice; Silfen, Kate
2011-01-01
Based on information gathered from two discussion sessions moderated by members of the Education and Behavioral Sciences Section's Online Learning Research Committee a survey was conducted to identify how librarians use course/learning management systems and learning objects to deliver instruction. Objectives of the study were to identify the…
Learning from Objects: A Future for 21st Century Urban Arts Education
ERIC Educational Resources Information Center
Lasky, Dorothea
2009-01-01
In this technological age, where mind and body are increasingly disconnected in the classroom, object-based learning--along with strong museum-school partnerships--provide many benefits for student learning. In this article, the author first outlines some of the special mind-body connections that object-based learning in museums affords learners…
ERIC Educational Resources Information Center
Walters, Shirley; Yang, Jim; Roslander, Peter
2014-01-01
This cross-national study focuses on key issues and policy considerations in promoting lifelong learning in Ethiopia, Kenya, Namibia, Rwanda, and Tanzania (the five African countries that took part in a pilot workshop on "Developing Capacity for Establishing Lifelong Learning Systems in UNESCO Member States: at the UNESCO Institute for…
Increasing participation of people with learning disabilities in bowel screening.
Gray, Jonathan
2018-03-08
Learning disability nurses have a key role in addressing the health inequalities experienced by people with learning disabilities. People with learning disabilities are less likely to participate in bowel screening than other sectors of the population, despite there being evidence of this population being at an increased risk of developing bowel cancer. There are a range of barriers at individual and systemic levels that impact on participation in bowel screening by people with learning disabilities. Actions to address these barriers have been identified in the literature and learning disability nurses are a key agent of change in enabling people with learning disabilities to participate in the national screening programmes.
Learning Grasp Context Distinctions that Generalize
NASA Technical Reports Server (NTRS)
Platt, Robert; Grupen, Roderic A.; Fagg, Andrew H.
2006-01-01
Control-based approaches to grasp synthesis create grasping behavior by sequencing and combining control primitives. In the absence of any other structure, these approaches must evaluate a large number of feasible control sequences as a function of object shape, object pose, and task. This work explores a new approach to grasp synthesis that limits consideration to variations on a generalized localize-reach-grasp control policy. A new learning algorithm, known as schema structured learning, is used to learn which instantiations of the generalized policy are most likely to lead to a successful grasp in different problem contexts. Two experiments are described where Dexter, a bimanual upper torso, learns to select an appropriate grasp strategy as a function of object eccentricity and orientation. In addition, it is shown that grasp skills learned in this way can generalize to new objects. Results are presented showing that after learning how to grasp a small, representative set of objects, the robot's performance quantitatively improves for similar objects that it has not experienced before.
Three Key Concepts of the Theory of Objectification: Knowledge, Knowing, and Learning
ERIC Educational Resources Information Center
Radford, Luis
2013-01-01
In this article I sketch three key concepts of a cultural-historical theory of mathematics teaching and learning--the theory of objectification. The concepts are: knowledge, knowing and learning. The philosophical underpinning of the theory revolves around the work of Georg W. F. Hegel and its further development in the philosophical works of K.…
Expanded Learning Time and Opportunities: Key Principles, Driving Perspectives, and Major Challenges
ERIC Educational Resources Information Center
Blyth, Dale A.; LaCroix-Dalluhn, Laura
2011-01-01
If expanded learning is going to make a real difference, then three key principles must inform how communities overcome challenges and assure equitable access to learning opportunities. Much of today's debate is framed in the language of formal education systems--students, classrooms, schools--even though part of the expansion seeks to engage a…
English Learners (ELs) and Early Learning. Fast Facts
ERIC Educational Resources Information Center
Office of English Language Acquisition, US Department of Education, 2015
2015-01-01
The Office of English Language Acquisition (OELA) and Office of Early Learning (OEL) has synthesized key data on English learners (ELs) and early learning into two-page PDF sheets, by topic, with graphics, plus key contacts. The topics for this report include: (1) State-funded preschool programs with highest percentage of ELs: Fall 2013; (2)…
Learning Outcomes as a Key Concept in Policy Documents throughout Policy Changes
ERIC Educational Resources Information Center
Prøitz, Tine Sophie
2015-01-01
Learning outcomes can be considered to be a key concept in a changing education policy landscape, enhancing aspects such as benchmarking and competition. Issues relating to concepts of performance have a long history of debate within the field of education. Today, the concept of learning outcomes has become central in education policy development,…
An Authentic Online Community of Learning Framework for Higher Education: Development Process
ERIC Educational Resources Information Center
Parker, Jenni
2017-01-01
A key challenge for higher education practitioners is to identify how to construct more engaging online environments that promote key learning skills and encourage self-directed learning. This paper discusses a study that investigated how online university courses could be designed to be more engaging. The study employed a design-based research…
ERIC Educational Resources Information Center
Williamson, Nicholas C.
2001-01-01
Describes Export Odyssey (EO), a structured, Internet-intensive, team-based undergraduate student project in international marketing. Presents an analytical review of articles in the literature that relate to three key teaching-learning dimensions of student projects (experiential versus non-experiential active learning, team-based versus…
Trelease, Robert B; Nieder, Gary L
2013-01-01
Web deployable anatomical simulations or "virtual reality learning objects" can easily be produced with QuickTime VR software, but their use for online and mobile learning is being limited by the declining support for web browser plug-ins for personal computers and unavailability on popular mobile devices like Apple iPad and Android tablets. This article describes complementary methods for creating comparable, multiplatform VR learning objects in the new HTML5 standard format, circumventing platform-specific limitations imposed by the QuickTime VR multimedia file format. Multiple types or "dimensions" of anatomical information can be embedded in such learning objects, supporting different kinds of online learning applications, including interactive atlases, examination questions, and complex, multi-structure presentations. Such HTML5 VR learning objects are usable on new mobile devices that do not support QuickTime VR, as well as on personal computers. Furthermore, HTML5 VR learning objects can be embedded in "ebook" document files, supporting the development of new types of electronic textbooks on mobile devices that are increasingly popular and self-adopted for mobile learning. © 2012 American Association of Anatomists.
STDP-based spiking deep convolutional neural networks for object recognition.
Kheradpisheh, Saeed Reza; Ganjtabesh, Mohammad; Thorpe, Simon J; Masquelier, Timothée
2018-03-01
Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity in an unsupervised manner. These studies, however, used relatively shallow architectures, and only one layer was trainable. Another line of research has demonstrated - using rate-based neural networks trained with back-propagation - that having many layers increases the recognition robustness, an approach known as deep learning. We thus designed a deep SNN, comprising several convolutional (trainable with STDP) and pooling layers. We used a temporal coding scheme where the most strongly activated neurons fire first, and less activated neurons fire later or not at all. The network was exposed to natural images. Thanks to STDP, neurons progressively learned features corresponding to prototypical patterns that were both salient and frequent. Only a few tens of examples per category were required and no label was needed. After learning, the complexity of the extracted features increased along the hierarchy, from edge detectors in the first layer to object prototypes in the last layer. Coding was very sparse, with only a few thousands spikes per image, and in some cases the object category could be reasonably well inferred from the activity of a single higher-order neuron. More generally, the activity of a few hundreds of such neurons contained robust category information, as demonstrated using a classifier on Caltech 101, ETH-80, and MNIST databases. We also demonstrate the superiority of STDP over other unsupervised techniques such as random crops (HMAX) or auto-encoders. Taken together, our results suggest that the combination of STDP with latency coding may be a key to understanding the way that the primate visual system learns, its remarkable processing speed and its low energy consumption. These mechanisms are also interesting for artificial vision systems, particularly for hardware solutions. Copyright © 2017 Elsevier Ltd. All rights reserved.
The company objects keep: Linking referents together during cross-situational word learning.
Zettersten, Martin; Wojcik, Erica; Benitez, Viridiana L; Saffran, Jenny
2018-04-01
Learning the meanings of words involves not only linking individual words to referents but also building a network of connections among entities in the world, concepts, and words. Previous studies reveal that infants and adults track the statistical co-occurrence of labels and objects across multiple ambiguous training instances to learn words. However, it is less clear whether, given distributional or attentional cues, learners also encode associations amongst the novel objects. We investigated the consequences of two types of cues that highlighted object-object links in a cross-situational word learning task: distributional structure - how frequently the referents of novel words occurred together - and visual context - whether the referents were seen on matching backgrounds. Across three experiments, we found that in addition to learning novel words, adults formed connections between frequently co-occurring objects. These findings indicate that learners exploit statistical regularities to form multiple types of associations during word learning.
ERIC Educational Resources Information Center
Ross, Ann; Vanderspool, Staria
2004-01-01
Students can use seed characteristics to discriminate between the different kinds of legumes using taxonomic classification processes of sorting and ranking, followed by construction of taxonomic keys. The application of the Learning Cycle process to taxonomic principles, hierarchical classification, and construction of keys presents the…
Tips and Tricks of Incorporating Industry Standards into a Library Collection
DOE Office of Scientific and Technical Information (OSTI.GOV)
Abbott, Jennifer; Sandberg, Tami
Professional literature on the incorporation of industry standards into a library collection is somewhat limited. The objective of this presentation is to discuss the intricate details of acquiring, managing, and delivering electronic industry standards to library patrons in a seamless manner. Lessons learned regarding vendor selection and license agreements will also be discussed. Results from a survey administer at the National Renewable Energy Laboratory will be used to analyze how collection policies can properly be developed to incorporate industry standards into a library setting. The key points of acquisition decisions, avoidance of liability issues, and cost will be addressed.
The Medawar Lecture 2001 Knowledge for vision: vision for knowledge
Gregory, Richard L
2005-01-01
An evolutionary development of perception is suggested—from passive reception to active perception to explicit conception—earlier stages being largely retained and incorporated in later species. A key is innate and then individually learned knowledge, giving meaning to sensory signals. Inappropriate or misapplied knowledge produces rich cognitive phenomena of illusions, revealing normally hidden processes of vision, tentatively classified here in a ‘peeriodic table’. Phenomena of physiology are distinguished from phenomena of general rules and specific object knowledge. It is concluded that vision uses implicit knowledge, and provides knowledge for intelligent behaviour and for explicit conceptual understanding including science. PMID:16147519
Psychologic theories in functional neurologic disorders.
Carson, A; Ludwig, L; Welch, K
2016-01-01
In this chapter we review key psychologic theories that have been mooted as possible explanations for the etiology of functional neurologic symptoms, conversion disorder, and hysteria. We cover Freudian psychoanalysis and later object relations and attachment theories, social theories, illness behavior, classic and operant conditioning, social learning theory, self-regulation theory, cognitive-behavioral theories, and mindfulness. Dissociation and modern cognitive neuroscience theories are covered in other chapters in this series and, although of central importance, are omitted from this chapter. Our aim is an overview with the emphasis on breadth of coverage rather than depth. © 2016 Elsevier B.V. All rights reserved.
NASA Technical Reports Server (NTRS)
Mather, John C.
2009-01-01
The James Webb Space Telescope is on track for a launch in 2013. The author reviews the status and progress on the key hardware. The first primary mirror segments are already at MSFC for cryogenic tests, the mid IR instrument (MIRI) has already had successful tests of the engineering model, and the detectors are showing excellent performance. The author also describes the scientific objectives of the mission, with emphasis on the predicted capabilities for observing planets by the transit technique and through direct imaging. Recent direct observations of planets by HST and by adaptive optics from the ground have shown that, under favorable circumstances, much can be learned.
How NASA Utilizes Dashboards to Help Ensure Mission Success
NASA Technical Reports Server (NTRS)
Blakeley, Chris
2013-01-01
NASA is actively planning to expand human spaceflight and robotic exploration beyond low Earth orbit. To prepare for the challenge of exploring these destinations in space, NASA conducts missions here on Earth in remote locations that have physical similarities to extreme space environments. Program managers for the Advanced Exploration Systems program requested a simple way to track financial information to ensure that each task stayed within their budgetary constraints. Using SAP BusinessObjects Dashboards (Formerly Xcelsius), a dashboard was created to satisfy all of their key requirements. Lessons learned, along with some tips and tricks, will be highlighted during this session.
Web-based interactive 3D visualization as a tool for improved anatomy learning.
Petersson, Helge; Sinkvist, David; Wang, Chunliang; Smedby, Orjan
2009-01-01
Despite a long tradition, conventional anatomy education based on dissection is declining. This study tested a new virtual reality (VR) technique for anatomy learning based on virtual contrast injection. The aim was to assess whether students value this new three-dimensional (3D) visualization method as a learning tool and what value they gain from its use in reaching their anatomical learning objectives. Several 3D vascular VR models were created using an interactive segmentation tool based on the "virtual contrast injection" method. This method allows users, with relative ease, to convert computer tomography or magnetic resonance images into vivid 3D VR movies using the OsiriX software equipped with the CMIV CTA plug-in. Once created using the segmentation tool, the image series were exported in Quick Time Virtual Reality (QTVR) format and integrated within a web framework of the Educational Virtual Anatomy (EVA) program. A total of nine QTVR movies were produced encompassing most of the major arteries of the body. These movies were supplemented with associated information, color keys, and notes. The results indicate that, in general, students' attitudes towards the EVA-program were positive when compared with anatomy textbooks, but results were not the same with dissections. Additionally, knowledge tests suggest a potentially beneficial effect on learning.
Case-based statistical learning applied to SPECT image classification
NASA Astrophysics Data System (ADS)
Górriz, Juan M.; Ramírez, Javier; Illán, I. A.; Martínez-Murcia, Francisco J.; Segovia, Fermín.; Salas-Gonzalez, Diego; Ortiz, A.
2017-03-01
Statistical learning and decision theory play a key role in many areas of science and engineering. Some examples include time series regression and prediction, optical character recognition, signal detection in communications or biomedical applications for diagnosis and prognosis. This paper deals with the topic of learning from biomedical image data in the classification problem. In a typical scenario we have a training set that is employed to fit a prediction model or learner and a testing set on which the learner is applied to in order to predict the outcome for new unseen patterns. Both processes are usually completely separated to avoid over-fitting and due to the fact that, in practice, the unseen new objects (testing set) have unknown outcomes. However, the outcome yields one of a discrete set of values, i.e. the binary diagnosis problem. Thus, assumptions on these outcome values could be established to obtain the most likely prediction model at the training stage, that could improve the overall classification accuracy on the testing set, or keep its performance at least at the level of the selected statistical classifier. In this sense, a novel case-based learning (c-learning) procedure is proposed which combines hypothesis testing from a discrete set of expected outcomes and a cross-validated classification stage.
Formation of readiness for future physics teachers by using interactive learning tools
NASA Astrophysics Data System (ADS)
Kulikova, N. U.; Danilchuk, E. V.; Zhidkova, A. V.
2017-01-01
In this article we give the reviewing of approaches to the preparedness of future physics teachers for the usage of interactive means of education as an important part of their professional activity. We discuss the key concepts such as interactivity, an interactive dialogue, and interactive means of education. The conception of interactive means of education as a tool of teachers' professional activity, which provides a way for the students to intensify their learning in class by using interactive tools and electronic educational resources, is validated. Furthermore, it is proved that interactive means of education allow the students to intensify their learning in the course of an interactive dialogue by means of organization different types of feedback in electronic educational resources (the program behavior depending on a user actions in the form of comments, prompts, elements of arrangement of objects, etc, the control and correction of students' actions by the program, providing with recommendations for further learning, carrying out constant access to reference information, etc), involving in different types of educational activity (modeling, investigation, etc), self-selection of time, speed, content of learning, complexity and priority of the usage of educational information on the screen, etc. By training students - future teachers of physics authors consider technological aspects, methodical features and examples of creation of these resources for physics lesson.
Facilitative Components of Collaborative Learning: A Review of Nine Health Research Networks
Rittner, Jessica Levin; Johnson, Karin E.; Gerteis, Jessie; Miller, Therese
2017-01-01
Objective: Collaborative research networks are increasingly used as an effective mechanism for accelerating knowledge transfer into policy and practice. This paper explored the characteristics and collaborative learning approaches of nine health research networks. Data sources/study setting: Semi-structured interviews with representatives from eight diverse US health services research networks conducted between November 2012 and January 2013 and program evaluation data from a ninth. Study design: The qualitative analysis assessed each network's purpose, duration, funding sources, governance structure, methods used to foster collaboration, and barriers and facilitators to collaborative learning. Data collection: The authors reviewed detailed notes from the interviews to distill salient themes. Principal findings: Face-to-face meetings, intentional facilitation and communication, shared vision, trust among members and willingness to work together were key facilitators of collaborative learning. Competing priorities for members, limited funding and lack of long-term support and geographic dispersion were the main barriers to coordination and collaboration across research network members. Conclusion: The findings illustrate the importance of collaborative learning in research networks and the challenges to evaluating the success of research network functionality. Conducting readiness assessments and developing process and outcome evaluation metrics will advance the design and show the impact of collaborative research networks. PMID:28277202
Authoring of Learning Objects in Context
ERIC Educational Resources Information Center
Specht, Marcus; Kravcik, Milos
2006-01-01
Learning objects and content interchange standards provide new possibilities for e-learning. Nevertheless the content often lacks context data to find appropriate use for adaptive learning on demand and personalized learning experiences. In the Remotely Accessible Field Trips (RAFT) project mobile authoring of learning content in context has shown…
Keegan, David A; Scott, Ian; Sylvester, Michael; Tan, Amy; Horrey, Kathleen; Weston, W Wayne
2017-04-01
In 2006, leaders of undergraduate family medicine education programs faced a series of increasing curriculum mandates in the context of limited time and financial resources. Additionally, it became apparent that a hidden curriculum against family medicine as a career choice was active in medical schools. The Shared Canadian Curriculum in Family Medicine was developed by the Canadian Undergraduate Family Medicine Education Directors and supported by the College of Family Physicians of Canada as a national collaborative project to support medical student training in family medicine clerkship. Its key objective is to enable education leaders to meet their educational mandates, while at the same time countering the hidden curriculum and providing a route to scholarship. The Shared Canadian Curriculum in Family Medicine is an open-access, shared, national curriculum ( www.sharcfm.ca ). It contains 23 core clinical topics (determined through a modified Delphi process) with demonstrable objectives for each. It also includes low- and medium-fidelity virtual patient cases, point-of-care learning resources (clinical cards), and assessment tools, all aligned with the core topics. French translation of the resources is ongoing. The core topics, objectives, and educational resources have been adopted by medical schools across Canada, according to their needs. The lessons learned from mounting this multi-institutional collaborative project will help others develop their own collaborative curricula. Copyright© the College of Family Physicians of Canada.
An evaluation of the role of the clinical education facilitator.
McCormack, Brendan; Slater, Paul
2006-02-01
The objective of the study was to identify whether clinical education facilitators made a difference to the learning experiences of nurses in a large teaching hospital. Strategies for enabling continuous professional development are well established in health care organizations as key components of approaches to lifelong learning. The benefits of continuous professional development include the maintenance of high standards of care, the improvement and development of services, ensuring the competency of all nursing staff and guaranteeing the accountability of nurses for their actions. The role of clinical education facilitator is relatively new and little evaluation of this role has been undertaken. This study highlights important issues to be considered in developing a 'learning culture' in a hospital organization, through the adoption of such roles as clinical education facilitators. Whilst the roles have had an important function in the active coordination of learning activities in the hospital, there is little evidence of the role directly impacting on the learning culture of clinical settings. Learning mechanisms have been identified. The results of this evaluation can be subjected to further testing through ongoing evaluation of the outcomes arising from the learning mechanisms in place. Given the emphasis on work-based learning and continuing professional development in health care, then this ongoing evaluation can yield important information about future directions for nurse education. The study highlights the importance of supported learning in the workplace. However, more importantly, it identifies the need for a culture of professional practice to be developed in order to sustain learning in practice. Classroom-based learning alone, cannot create a culture of development in nursing and there is thus a need for models of work-based learning to be integrated into practice environments.
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).
Training tomorrow's clinicians today--managed care essentials: a process for curriculum development.
Colenda, C C; Wadland, W; Hayes, O; Anderson, W; Priester, F; Pearson, R; Keefe, C; Fleck, L
2000-05-01
To develop a managed care curriculum for primary care residents. This article outlines a 4-stage curriculum development process focusing on concepts of managed care organization and finance. The stages consist of: (1) identifying the curriculum development work group and framing the scope of the curriculum, (2) identifying stakeholder buy-in and expectations, (3) choosing curricular topics and delivery mechanisms, and (4) outlining the evaluation process. Key elements of building a curriculum development team, content objectives of the curriculum, the rationale for using problem-based learning, and finally, lessons learned from the partnership among the stakeholders are reviewed. The curriculum was delivered to an entering group of postgraduate-year 1 primary care residents. Attitudes among residents toward managed care remained relatively negative and stable over the yearlong curriculum, especially over issues relating to finance, quality of care, control and autonomy of practitioners, time spent with patients, and managed care's impact on the doctor-patient relationship. Residents' baseline knowledge of core concepts about managed care organization and finance improved during the year that the curriculum was delivered. Satisfaction with a problem-based learning approach was high. Problem-based learning, using real-life clinical examples, is a successful approach to resident instruction about managed care.
Implementing and Assessing Inquiry-Based Learning through the CAREER Award
NASA Astrophysics Data System (ADS)
Brudzinski, M. R.
2011-12-01
In order to fully attain the benefits of inquiry-based learning, instructors who typically employ the traditional lecture format need to make many adjustments to their approach. This change in styles can be intimidating and logistically difficult to overcome, both for instructors and students, such that a stepwise approach to this transformation is likely to be more manageable. In this session, I will describe a series of tools to promote inquiry-based learning that I am helping to implement and assess in classroom courses and student research projects. I will demonstrate the importance of integrating with existing institutional initiatives as well as recognizing how student development plays a key role in student engagement. Some of the features I will highlight include: defining both student learning outcomes and student development outcomes, converting content training to be self-directed and asynchronous, utilizing conceptests to help students practice thinking like scientists, and employing both objective pre/post assessment and student self-reflective assessment. Lastly, I will reflect on how the well-defined goal of teaching and research integration in the CAREER award solicitation resonated with me even as an undergraduate and helped inspire my early career.
Baernholdt, M; Drake, E; Maron, F; Neymark, K
2013-06-01
This paper describes the development, implementation and evaluation of a semester-long exchange program between two Bachelor of Science in Nursing programs in the USA and Denmark. Nurses globally need to provide culturally sensitive care for an ethnically diverse population. Competencies on how to do so should start in basic nursing programs. A useful strategy is through immersion into another culture through an exchange program. Little is known about successful strategies for two-way or 360° exchange programs between schools from different countries. Guided by experiential learning theory, we developed an exchange program with the objective of enhancing nursing students' cultural competence through knowledge building, attitudes and behaviour development. Lessons learned and implications for educational institutions and policy are discussed. In internationalization of nursing education, an awareness of underlying cultural values regarding nursing competence and taking appropriate action are important for success. Other areas for a successful exchange program include matching of courses or content across schools, clear objectives and evaluation plans. Finally, flexibility and open communication are key components when setting up a 360° exchange program. © 2013 The Authors. International Nursing Review © 2013 International Council of Nurses.
Krüger, A; Gillmann, B; Hardt, C; Döring, R; Beckers, S K; Rossaint, R
2009-06-01
Physicians have to demonstrate non-technical skills, such as communication and team leading skills, while coping with critical incidents. These skills are not taught during medical education. A crisis resource management (CRM) training was established for 4th to 6th year medical students using a full-scale simulator mannikin (Emergency Care Simulator, ECS, METI). The learning objectives of the course were defined according to the key points of Gaba's CRM concept. The training consisted of theoretical and practical parts (3 simulation scenarios with debriefing). Students' self-assessment before and after the training provided the data for evaluation of the training outcome. A total of 65 students took part in the training. The course was well received in terms of overall course quality, debriefings and didactic presentation, the mean overall mark being 1.4 (1: best, 6: worst). After the course students felt significantly more confident when facing incidents in clinical practice. The main learning objectives were achieved. The effectiveness of applying the widely used ECS full-scale simulator in interdisciplinary teaching has been demonstrated. The training exposes students to crisis resource management issues and motivates them to develop non-technical skills.
Ludwig, Sabine; Oertelt-Prigione, Sabine; Kurmeyer, Christine; Gross, Manfred; Grüters-Kieslich, Annette; Regitz-Zagrosek, Vera; Peters, Harm
2015-12-01
A new modular, outcome-based, interdisciplinary curriculum was introduced for undergraduate medical education at one of the largest European medical faculties. A key stated institutional goal was to systematically integrate sex and gender medicine and gender perspectives into the curriculum in order to foster adequate gender-related knowledge and skills for future doctors concerning the etiology, pathogenesis, clinical presentation, diagnosis, treatment, and research of diseases. A change agent was integrated directly into the curriculum development team to facilitate interactions with all key players of the curricular development process. The gender change agent established a supporting organizational framework of all stakeholders, and developed a 10-step approach including identification, selection, placing relevant sex and gender medicine-related issues in the curricular planning sessions, counseling of faculty members, and monitoring of the integration achieved. With this approach, quantitatively sex and gender medicine-related content was widely integrated throughout all teaching and learning formats and from early basic science to later clinical modules (94 lectures, 33 seminars, and 16 practical courses). Gender perspectives involve 5% of the learning objectives and represent an integral part of the assessment program. Qualitatively, the relevance of gender (sociocultural) differences was combined with sex (biological) differences in disease manifestation throughout the curriculum. The appointment of a change agent facilitates the development of systematic approaches that can be a key and serve as practice models to successfully integrate new overarching curricular perspectives and dimensions--in this case sex and gender medicine--into a new medical curriculum.
ERIC Educational Resources Information Center
Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio
2009-01-01
How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified…
ERIC Educational Resources Information Center
Sun, Jun
2009-01-01
Based on Activity Theory, this article examines attitude formation in human learning as shaped by the experiences of individual learners with various learning objects in particular learning contexts. It hypothesizes that a learner's object-related perceptions, personality traits and situational perceptions may have different relationships with the…
Building Communities for the Exchange of Learning Objects: Theoretical Foundations and Requirements
ERIC Educational Resources Information Center
Koper, Rob; Pannekeet, Kees; Hendriks, Maaike; Hummel, Hans
2004-01-01
In order to reduce overall costs of developing high-quality digital courses (including both the content, and the learning and teaching activities), the exchange of learning objects has been recognized as a promising solution. This article makes an inventory of the issues involved in the exchange of learning objects within a community. It explores…
Log In to Experiential Learning Theory: Supporting Web-Based Faculty Development
Brien, Sarah; Parry, Marcus
2017-01-01
Background For an increasingly busy and geographically dispersed faculty, the Faculty of Medicine at the University of Southampton, United Kingdom, developed a range of Web-based faculty development modules, based on Kolb’s experiential learning cycle, to complement the faculty’s face-to-face workshops. Objective The objective of this study was to assess users’ views and perceptions of the effectiveness of Web-based faculty development modules based on Kolb’s experiential learning cycle. We explored (1) users’ satisfaction with the modules, (2) whether Kolb’s design framework supported users’ learning, and (3) whether the design principle impacts their work as educators. Methods We gathered data from users over a 3-year period using evaluation surveys built into each of the seven modules. Quantitative data were analyzed using descriptive statistics, and responses to open-ended questions were analyzed using content analysis. Results Out of the 409 module users, 283 completed the survey (69.1% response rate). Over 80% of the users reported being satisfied or very satisfied with seven individual aspects of the modules. The findings suggest a strong synergy between the design features that users rated most highly and the key stages of Kolb’s learning cycle. The use of simulations and videos to give the users an initial experience as well as the opportunity to “Have a go” and receive feedback in a safe environment were both considered particularly useful. In addition to providing an opportunity for reflection, many participants considered that the modules would enhance their roles as educators through: increasing their knowledge on various education topics and the required standards for medical training, and improving their skills in teaching and assessing students through practice and feedback and ultimately increasing their confidence. Conclusions Kolb’s theory-based design principle used for Web-based faculty development can support faculty to improve their skills and has impact on their role as educators. Grounding Web-based training in learning theory offers an effective and flexible approach for faculty development. PMID:28954718
Interactive Physics: the role of interactive learning objects in teaching Physics in Engineering
NASA Astrophysics Data System (ADS)
Benito, R. M.; Cámara, M. E.; Arranz, F. J.
2009-04-01
In this work we present the results of a Project in educational innovation entitled "Interactive Physics". We have developed resources for teaching Physics for students of Engineering, with an emphasis in conceptual reinforcement and addressing the shortcomings of students entering the University. The resources developed include hypertext, graphics, equations, quizzes and more elaborated problems that cover the customary syllabus in first-year Physics: kinematics and dynamics, Newton laws, electricity and magnetism, elementary circuits… The role of vector quantities is stressed and we also provide help for the most usual mathematical tools (calculus and trigonometric formulas). The structure and level of detail of the resources are fitted to the conceptual difficulties that most of the students find. Some of the most advanced resources we have developed are interactive simulations. These are real simulations of key physical situations, not only animations. They serve as learning objects, in the well known sense of small reusable digital objects that are self-contained and tagged with metadata. In this sense, we use them to link concepts and content through interaction with active engagement of the student. The development of an interactive simulation involves several steps. First, we identify common pitfalls in the conceptual framework of the students and the points in which they stumble frequently. Then we think of a way to make clear the physical concepts using a simulation. After that, we program the simulation (using Flash or Java) and finally the simulation is tested with the students, and we reelaborate some parts of it in terms of usability. In our communication, we discuss the usefulness of these interactive simulations in teaching Physics for engineers, and their integration in a more comprehensive b-learning system.
Behrends, Marianne; Steffens, Sandra; Marschollek, Michael
2017-01-01
The National Competence Based Catalogue of Learning Objectives for Undergraduate Medical Education (NKLM) describes medical skills and attitudes without being ordered by subjects or organs. Thus, the NKLM enables systematic curriculum mapping and supports curricular transparency. In this paper we describe where learning objectives related to Medical Informatics (MI) in Hannover coincide with other subjects and where they are taught exclusively in MI. An instance of the web-based MERLIN-database was used for the mapping process. In total 52 learning objectives overlapping with 38 other subjects could be allocated to MI. No overlap exists for six learning objectives describing explicitly topics of information technology or data management for scientific research. Most of the overlap was found for learning objectives relating to documentation and aspects of data privacy. The identification of numerous shared learning objectives with other subjects does not mean that other subjects teach the same content as MI. Identifying common learning objectives rather opens up the possibility for teaching cooperations which could lead to an important exchange and hopefully an improvement in medical education. Mapping of a whole medical curriculum offers the opportunity to identify common ground between MI and other medical subjects. Furthermore, in regard to MI, the interaction with other medical subjects can strengthen its role in medical education.
Visual attention to features by associative learning.
Gozli, Davood G; Moskowitz, Joshua B; Pratt, Jay
2014-11-01
Expecting a particular stimulus can facilitate processing of that stimulus over others, but what is the fate of other stimuli that are known to co-occur with the expected stimulus? This study examined the impact of learned association on feature-based attention. The findings show that the effectiveness of an uninformative color transient in orienting attention can change by learned associations between colors and the expected target shape. In an initial acquisition phase, participants learned two distinct sequences of stimulus-response-outcome, where stimuli were defined by shape ('S' vs. 'H'), responses were localized key-presses (left vs. right), and outcomes were colors (red vs. green). Next, in a test phase, while expecting a target shape (80% probable), participants showed reliable attentional orienting to the color transient associated with the target shape, and showed no attentional orienting with the color associated with the alternative target shape. This bias seemed to be driven by learned association between shapes and colors, and not modulated by the response. In addition, the bias seemed to depend on observing target-color conjunctions, since encountering the two features disjunctively (without spatiotemporal overlap) did not replicate the findings. We conclude that associative learning - likely mediated by mechanisms underlying visual object representation - can extend the impact of goal-driven attention to features associated with a target stimulus. Copyright © 2014 Elsevier B.V. All rights reserved.
Pedagogical Approaches to Diagnostic Imaging Education: A Narrative Review of the Literature
Linaker, Kathleen L.
2015-01-01
Objective The purpose of this study was to examine literature on how radiology is taught and learned by both radiology residents and undergraduates in the health professions. Methods A review of the literature was performed using relevant key words. Articles were retrieved through December 2012 using PubMed, ScienceDirect, ERIC, Proquest, and ICL databases along with a manual review of references. Results Of the 4716 unique abstracts reviewed by the author, 91 were found to be relevant to the purpose of this study. The literature retrieved reported pedagogical approaches to teaching radiology including the following: problem solving, technology as teacher, independent learning tools, visiting lectureships, case based teaching, and conferences. There was some exploration of the relative effectiveness of educational formats. Suggestions for future research identify 7 areas of relative consistency. Conclusion Radiology is a clinical skill that requires integration science, clinical information, clinical experiences, and information recorded on diagnostic imaging studies. The research in this area focuses on problem solving, the use of algorithm/scripts, introducing uncertainty in clinical scenarios, incorporating technology in learning environments, active learning techniques, and methods of independent learning. Although the literature in this area is still in its infancy, the research examining the relative effectiveness of these various educational formats is often contradictory, suggesting that this is a complex area of study with numerous factors influencing student learning. PMID:26770173
From shared care to disease management: key-influencing factors
Eijkelberg, Irmgard M.J.G.; Spreeuwenberg, Cor; Mur-Veeman, Ingrid M.; Wolffenbuttel, Bruce H.R.
2001-01-01
Abstract Background In order to improve the quality of care of chronically ill patients the traditional boundaries between primary and secondary care are questioned. To demolish these boundaries so-called ‘shared care’ projects have been initiated in which different ways of substitution of care are applied. When these projects end, disease management may offer a solution to expand the achieved co-operation between primary and secondary care. Objective Answering the question: What key factors influence the development and implementation of shared care projects from a management perspective and how are they linked? Theory The theoretical framework is based on the concept of the learning organisation. Design Reference point is a multiple case study that finally becomes a single case study. Data are collected by means of triangulation. The studied cases concern two interrelated Dutch shared care projects for type 2 diabetic patients, that in the end proceed as one disease management project. Results In these cases the predominant key-influencing factors appear to be the project management, commitment and local context, respectively. The factor project management directly links the latter two, albeit managing both appear prerequisites to its success. In practice this implies managing the factors' interdependency by the application of change strategies and tactics in a committed and skilful way. Conclusion Project management, as the most important and active key factor, is advised to cope with the interrelationships of the influencing factors in a gradually more fundamental way by using strategies and tactics that enable learning processes. Then small-scale shared care projects may change into a disease management network at a large scale, which may yield the future blueprint to proceed. PMID:16896415
ERIC Educational Resources Information Center
Lopez-Catalan, Blanca; Bañuls, Victor A.
2017-01-01
Purpose: The purpose of this paper is to present the results of national level Delphi study carried out in Spain aimed at providing inputs for higher education administrators and decision makers about key e-learning trends for supporting postgraduate courses. Design/methodology/approach: The ranking of the e-learning trends is based on a…
The "7 Keys of the Dragon": An E-Learning Gamelike Environment for Albanian and Russian
ERIC Educational Resources Information Center
Revithiadou, Anthi; Kourtis-Kazoullis, Vasilia; Soukalopoulou, Maria; Konstantoudakis, Konstantinos; Zarras, Christos; Pelesoglou, Nestoras
2014-01-01
In this article we report on the development of an interactive open source extensible software, dubbed "The 7 Keys of the Dragon," for the teaching/learning of Albanian and Russian to students (9-12 years old) with the respective languages as their heritage languages. Based on the assumption that games in language learning are associated…
Word-to-picture recognition is a function of motor components mappings at the stage of retrieval.
Brouillet, Denis; Brouillet, Thibaut; Milhau, Audrey; Heurley, Loïc; Vagnot, Caroline; Brunel, Lionel
2016-10-01
Embodied approaches of cognition argue that retrieval involves the re-enactment of both sensory and motor components of the desired remembering. In this study, we investigated the effect of motor action performed to produce the response in a recognition task when this action is compatible with the affordance of the objects that have to be recognised. In our experiment, participants were first asked to learn a list of words referring to graspable objects, and then told to make recognition judgements on pictures. The pictures represented objects where the graspable part was either pointing to the same or to the opposite side of the "Yes" response key. Results show a robust effect of compatibility between objects affordance and response hand. Moreover, this compatibility improves participants' ability of discrimination, suggesting that motor components are relevant cue for memory judgement at the stage of retrieval in a recognition task. More broadly, our data highlight that memory judgements are a function of motor components mappings at the stage of retrieval. © 2015 International Union of Psychological Science.
Screening Internet websites for educational potential in undergraduate medical education.
Burd, Andrew; Chiu, Tor; McNaught, Carmel
2004-01-01
This paper addresses the difficulty of finding suitable websites to support undergraduate medical students in learning key concepts and skills in plastic surgery in particular, and other areas of undergraduate medical education in general. Based on a model of the pedagogical elements contained in educational websites, the authors developed a short objective scoring system with five criteria. Pre-university students were used to find websites in plastic surgery. One hundred and fifty of those that were still in place after a year were evaluated using the objective scoring system. Sixty of these were then selected and were subjectively evaluated by final year medical students in terms of their perceived educational potential. There was only a moderate correlation between the objective and subjective scores. Our conclusion is that it does not seem possible to construct any objective system of medical website evaluation. The discussion of the results of this study focuses on the issues involved in finding suitable web-based material and the diversity between students. New strategies such as formally organized consortia involving agreements between medical schools may evolve.
The role of play objects and object play in human cognitive evolution and innovation
Johannsen, Niels N.; Högberg, Anders; Nowell, April; Lombard, Marlize
2018-01-01
Abstract In this contribution, we address a major puzzle in the evolution of human material culture: If maturing individuals just learn their parental generation's material culture, then what is the origin of key innovations as documented in the archeological record? We approach this question by coupling a life‐history model of the costs and benefits of experimentation with a niche‐construction perspective. Niche‐construction theory suggests that the behavior of organisms and their modification of the world around them have important evolutionary ramifications by altering developmental settings and selection pressures. Part of Homo sapiens' niche is the active provisioning of children with play objects — sometimes functional miniatures of adult tools — and the encouragement of object play, such as playful knapping with stones. Our model suggests that salient material culture innovation may occur or be primed in a late childhood or adolescence sweet spot when cognitive and physical abilities are sufficiently mature but before the full onset of the concerns and costs associated with reproduction. We evaluate the model against a series of archeological cases and make suggestions for future research. PMID:29446561
Janke, Vikki; Marshall, Chloë R
2017-01-01
An ongoing issue of interest in second language research concerns what transfers from a speaker's first language to their second. For learners of a sign language, gesture is a potential substrate for transfer. Our study provides a novel test of gestural production by eliciting silent gesture from novices in a controlled environment. We focus on spatial relationships, which in sign languages are represented in a very iconic way using the hands, and which one might therefore predict to be easy for adult learners to acquire. However, a previous study by Marshall and Morgan (2015) revealed that this was only partly the case: in a task that required them to express the relative locations of objects, hearing adult learners of British Sign Language (BSL) could represent objects' locations and orientations correctly, but had difficulty selecting the correct handshapes to represent the objects themselves. If hearing adults are indeed drawing upon their gestural resources when learning sign languages, then their difficulties may have stemmed from their having in manual gesture only a limited repertoire of handshapes to draw upon, or, alternatively, from having too broad a repertoire. If the first hypothesis is correct, the challenge for learners is to extend their handshape repertoire, but if the second is correct, the challenge is instead to narrow down to the handshapes appropriate for that particular sign language. 30 sign-naïve hearing adults were tested on Marshall and Morgan's task. All used some handshapes that were different from those used by native BSL signers and learners, and the set of handshapes used by the group as a whole was larger than that employed by native signers and learners. Our findings suggest that a key challenge when learning to express locative relations might be reducing from a very large set of gestural resources, rather than supplementing a restricted one, in order to converge on the conventionalized classifier system that forms part of the grammar of the language being learned.
Distributed Data Networks That Support Public Health Information Needs.
Tabano, David C; Cole, Elizabeth; Holve, Erin; Davidson, Arthur J
Data networks, consisting of pooled electronic health data assets from health care providers serving different patient populations, promote data sharing, population and disease monitoring, and methods to assess interventions. Better understanding of data networks, and their capacity to support public health objectives, will help foster partnerships, expand resources, and grow learning health systems. We conducted semistructured interviews with 16 key informants across the United States, identified as network stakeholders based on their respective experience in advancing health information technology and network functionality. Key informants were asked about their experience with and infrastructure used to develop data networks, including each network's utility to identify and characterize populations, usage, and sustainability. Among 11 identified data networks representing hundreds of thousands of patients, key informants described aggregated health care clinical data contributing to population health measures. Key informant interview responses were thematically grouped to illustrate how networks support public health, including (1) infrastructure and information sharing; (2) population health measures; and (3) network sustainability. Collaboration between clinical data networks and public health entities presents an opportunity to leverage infrastructure investments to support public health. Data networks can provide resources to enhance population health information and infrastructure.
Rationale and methodology of a collaborative learning project in congenital cardiac care
Wolf, Michael J.; Lee, Eva K.; Nicolson, Susan C.; Pearson, Gail D.; Witte, Madolin K.; Huckaby, Jeryl; Gaies, Michael; Shekerdemian, Lara S.; Mahle, William T.
2018-01-01
Background Collaborative learning is a technique through which individuals or teams learn together by capitalizing on one another’s knowledge, skills, resources, experience, and ideas. Clinicians providing congenital cardiac care may benefit from collaborative learning given the complexity of the patient population and team approach to patient care. Rationale and development Industrial system engineers first performed broad-based time-motion and process analyses of congenital cardiac care programs at 5 Pediatric Heart Network core centers. Rotating multidisciplinary team site visits to each center were completed to facilitate deep learning and information exchange. Through monthly conference calls and an in-person meeting, we determined that duration of mechanical ventilation following infant cardiac surgery was one key variation that could impact a number of clinical outcomes. This was underscored by one participating center’s practice of early extubation in the majority of its patients. A consensus clinical practice guideline using collaborative learning was developed and implemented by multidisciplinary teams from the same 5 centers. The 1-year prospective initiative was completed in May 2015, and data analysis is under way. Conclusion Collaborative learning that uses multidisciplinary team site visits and information sharing allows for rapid structured fact-finding and dissemination of expertise among institutions. System modeling and machine learning approaches objectively identify and prioritize focused areas for guideline development. The collaborative learning framework can potentially be applied to other components of congenital cardiac care and provide a complement to randomized clinical trials as a method to rapidly inform and improve the care of children with congenital heart disease. PMID:26995379
Rationale and methodology of a collaborative learning project in congenital cardiac care.
Wolf, Michael J; Lee, Eva K; Nicolson, Susan C; Pearson, Gail D; Witte, Madolin K; Huckaby, Jeryl; Gaies, Michael; Shekerdemian, Lara S; Mahle, William T
2016-04-01
Collaborative learning is a technique through which individuals or teams learn together by capitalizing on one another's knowledge, skills, resources, experience, and ideas. Clinicians providing congenital cardiac care may benefit from collaborative learning given the complexity of the patient population and team approach to patient care. Industrial system engineers first performed broad-based time-motion and process analyses of congenital cardiac care programs at 5 Pediatric Heart Network core centers. Rotating multidisciplinary team site visits to each center were completed to facilitate deep learning and information exchange. Through monthly conference calls and an in-person meeting, we determined that duration of mechanical ventilation following infant cardiac surgery was one key variation that could impact a number of clinical outcomes. This was underscored by one participating center's practice of early extubation in the majority of its patients. A consensus clinical practice guideline using collaborative learning was developed and implemented by multidisciplinary teams from the same 5 centers. The 1-year prospective initiative was completed in May 2015, and data analysis is under way. Collaborative learning that uses multidisciplinary team site visits and information sharing allows for rapid structured fact-finding and dissemination of expertise among institutions. System modeling and machine learning approaches objectively identify and prioritize focused areas for guideline development. The collaborative learning framework can potentially be applied to other components of congenital cardiac care and provide a complement to randomized clinical trials as a method to rapidly inform and improve the care of children with congenital heart disease. Copyright © 2016 Elsevier Inc. All rights reserved.
NASA Technical Reports Server (NTRS)
Condon, Steven; Hendrick, Robert; Stark, Michael E.; Steger, Warren
1997-01-01
The Flight Dynamics Division (FDD) of NASA's Goddard Space Flight Center (GSFC) recently embarked on a far-reaching revision of its process for developing and maintaining satellite support software. The new process relies on an object-oriented software development method supported by a domain specific library of generalized components. This Generalized Support Software (GSS) Domain Engineering Process is currently in use at the NASA GSFC Software Engineering Laboratory (SEL). The key facets of the GSS process are (1) an architecture for rapid deployment of FDD applications, (2) a reuse asset library for FDD classes, and (3) a paradigm shift from developing software to configuring software for mission support. This paper describes the GSS architecture and process, results of fielding the first applications, lessons learned, and future directions
Arantes, Joana; Machado, Armando
2008-07-01
Pigeons were trained on two temporal bisection tasks, which alternated every two sessions. In the first task, they learned to choose a red key after a 1-s signal and a green key after a 4-s signal; in the second task, they learned to choose a blue key after a 4-s signal and a yellow key after a 16-s signal. Then the pigeons were exposed to a series of test trials in order to contrast two timing models, Learning-to-Time (LeT) and Scalar Expectancy Theory (SET). The models made substantially different predictions particularly for the test trials in which the sample duration ranged from 1 s to 16 s and the choice keys were Green and Blue, the keys associated with the same 4-s samples: LeT predicted that preference for Green should increase with sample duration, a context effect, but SET predicted that preference for Green should not vary with sample duration. The results were consistent with LeT. The present study adds to the literature the finding that the context effect occurs even when the two basic discriminations are never combined in the same session.
ERIC Educational Resources Information Center
Smigielski, Alan
The three lesson plans in this issue feature the Eskimos of the Bering Sea and their culture. The lesson plans are: (1) "Learning about a Culture from Its Objects"; (2) "Learning about a Culture from a Story"; and (3) "Everyday Objects." Each lesson cites student objectives; lists materials needed; gives subjects…
The Sensor Test for Orion RelNav Risk Mitigation Development Test Objective
NASA Technical Reports Server (NTRS)
Christian, John A.; Hinkel, Heather; Maguire, Sean
2011-01-01
The Sensor Test for Orion Relative-Navigation Risk Mitigation (STORRM) Development Test Objective (DTO) ew aboard the Space Shuttle Endeavour on STS-134, and was designed to characterize the performance of the ash LIDAR being developed for the Orion. This ash LIDAR, called the Vision Navigation Sensor (VNS), will be the primary navigation instrument used by the Orion vehicle during rendezvous, proximity operations, and docking. This paper provides an overview of the STORRM test objectives and the concept of operations. It continues with a description of the STORRM's major hardware compo nents, which include the VNS and the docking camera. Next, an overview of crew and analyst training activities will describe how the STORRM team prepared for flight. Then an overview of how insight data collection and analysis actually went is presented. Key ndings and results from this project are summarized, including a description of "truth" data. Finally, the paper concludes with lessons learned from the STORRM DTO.
NASA Astrophysics Data System (ADS)
Mansour, Nasser
2010-03-01
The debate about Islam and science extends to a debate about the relationship between Islam and science education. In this paper, I explore Egyptian teachers' views of the relationship between science and religion within the Islamic context. Teachers' key vision of the relationship between science and religion was that "religion comes first and science comes next. I will argue that teachers' personal religious beliefs are among the major constructs that drive teachers' ways of thinking and interpretation of scientific issues related with religion. Then, I discuss how teachers' personal religious beliefs have been formed and influenced their pedagogical beliefs related to science and religion issues. Finally, I will argue, how we use the personal religious beliefs model as a framework of teaching/learning scientific issues related with religion within sociocultural (Islamic) context. [InlineMediaObject not available: see fulltext.][InlineMediaObject not available: see fulltext.][InlineMediaObject not available: see fulltext.
Do Your Students Think You Are Mr. Spock from Star Trek?
NASA Astrophysics Data System (ADS)
Watterson, Ray
If they think you are Mr. Spock from Star Trek then these two books may help you pass the time here. When I read Learning in Science (Roger Osborne and Peter Freyberg, Heinemann 1985), I: * became fascinated by the discrepancies between teacher's intentions and students' learning outcomes * determined to change the way I taught in order to reduce these discrepancies for the children and adults I was teaching * started to actively probe their understanding looking for keys to unlock and remove their misconceptions. Hence the second book by these two interesting characters. Probing Understanding (Richard White and Richard Gunstone, The Falmer Press 1992) I now approach the teaching of science as if I am teaching a foreign language to aliens. It works for me and is transmissible to others including student teachers. * Teach using real examples or objects familiar to your students * Use and teach the use of words precisely * Link the known to the unknown.
Functional description of a command and control language tutor
NASA Technical Reports Server (NTRS)
Elke, David R.; Seamster, Thomas L.; Truszkowski, Walter
1990-01-01
The status of an ongoing project to explore the application of Intelligent Tutoring System (ITS) technology to NASA command and control languages is described. The primary objective of the current phase of the project is to develop a user interface for an ITS to assist NASA control center personnel in learning Systems Test and Operations Language (STOL). Although this ITS will be developed for Gamma Ray Observatory operators, it will be designed with sufficient flexibility so that its modules may serve as an ITS for other control languages such as the User Interface Language (UIL). The focus of this phase is to develop at least one other form of STOL representation to complement the operational STOL interface. Such an alternative representation would be adaptively employed during the tutoring session to facilitate the learning process. This is a key feature of this ITS which distinguishes it from a simulator that is only capable of representing the operational environment.
MODeLeR: A Virtual Constructivist Learning Environment and Methodology for Object-Oriented Design
ERIC Educational Resources Information Center
Coffey, John W.; Koonce, Robert
2008-01-01
This article contains a description of the organization and method of use of an active learning environment named MODeLeR, (Multimedia Object Design Learning Resource), a tool designed to facilitate the learning of concepts pertaining to object modeling with the Unified Modeling Language (UML). MODeLeR was created to provide an authentic,…
Geophysics field school: A team-based learning experience for students and faculty
NASA Astrophysics Data System (ADS)
Karchewski, B.; Innanen, K. A.; Lauer, R. M.; Pidlisecky, A.
2016-12-01
The core challenge facing a modern science educator is to deliver a curriculum that reaches broadly and deeply into the technical domain, while also helping students to develop fundamental scientific skills such as inquiry, critical thinking and technical communication. That is, our aim is for students to achieve significant learning at all levels summarized by Bloom's Taxonomy of Educational Objectives. It is not always clear how to achieve the full spectrum of goals, with much debate over which component is more important in a science education. Team-based and experiential learning are research-supported approaches that aim to reach across the spectrum by placing students in a setting where they solve practical problems in teams of peers. This learning mode modifies the role of the instructor to a guide or facilitator, and students take a leadership role in their own education. We present a case study of our team's implementation of team-based learning in a geophysics field school, an inherently experiential learning environment. The core philosophies behind our implementation are to present clearly defined learning outcomes, to recognize that students differ in their learning modalities and to strive to engage students through a range of evidence-based learning experiences. We discuss the techniques employed to create functional teams, the key learning activities involved in a typical day of field school and data demonstrating the learning activities that showed the strongest correlation to overall performance in the course. In the process, we also realized that our team-based approach to course design and implementation also enhanced our skillsets as educators, and our institution recently recognized our efforts with a team teaching award. Therefore, we conclude with some of our observations of best practices for team teaching in a field setting to initiate discussions with colleagues engaged in similar activities.
NASA Astrophysics Data System (ADS)
Baker, D.
2006-12-01
As part of the NASA-supported undergraduate Earth System Science Education (ESSE) program, fifty-seven institutions have developed and implemented a wide range of Earth system science (ESS) courses, pedagogies, and evaluation tools. The Teaching, Learning, and Evaluation section of USRA's online ESSE Design Guide showcases these ESS learning environments. This Design Guide section also provides resources for faculty who wish to develop ESS courses. It addresses important course design issues including prior student knowledge and interests, student learning objectives, learning resources, pedagogical approaches, and assessments tied to student learning objectives. The ESSE Design Guide provides links to over 130 ESS course syllabi at introductory, senior, and graduate levels. ESS courses over the past 15 years exhibit common student learning objectives and unique pedagogical approaches. From analysis of ESS course syllabi, seven common student learning objectives emerged: 1) demonstrate systems thinking, 2) develop an ESS knowledge base, 3) apply ESS to the human dimension, 4) expand and apply analytical skills, 5) improve critical thinking skills, 6) build professional/career skills, and 7) acquire an enjoyment and appreciation for science. To meet these objectives, ESSE often requires different ways of teaching than in traditional scientific disciplines. This presentation will highlight some especially successful pedagogical approaches for creating positive and engaging ESS learning environments.
Abstract numerical discrimination learning in rats.
Taniuchi, Tohru; Sugihara, Junko; Wakashima, Mariko; Kamijo, Makiko
2016-06-01
In this study, we examined rats' discrimination learning of the numerical ordering positions of objects. In Experiments 1 and 2, five out of seven rats successfully learned to respond to the third of six identical objects in a row and showed reliable transfer of this discrimination to novel stimuli after being trained with three different training stimuli. In Experiment 3, the three rats from Experiment 2 continued to be trained to respond to the third object in an object array, which included an odd object that needed to be excluded when identifying the target third object. All three rats acquired this selective-counting task of specific stimuli, and two rats showed reliable transfer of this selective-counting performance to test sets of novel stimuli. In Experiment 4, the three rats from Experiment 3 quickly learned to respond to the third stimulus in object rows consisting of either six identical or six different objects. These results offer strong evidence for abstract numerical discrimination learning in rats.
Impact of feature saliency on visual category learning.
Hammer, Rubi
2015-01-01
People have to sort numerous objects into a large number of meaningful categories while operating in varying contexts. This requires identifying the visual features that best predict the 'essence' of objects (e.g., edibility), rather than categorizing objects based on the most salient features in a given context. To gain this capacity, visual category learning (VCL) relies on multiple cognitive processes. These may include unsupervised statistical learning, that requires observing multiple objects for learning the statistics of their features. Other learning processes enable incorporating different sources of supervisory information, alongside the visual features of the categorized objects, from which the categorical relations between few objects can be deduced. These deductions enable inferring that objects from the same category may differ from one another in some high-saliency feature dimensions, whereas lower-saliency feature dimensions can best differentiate objects from distinct categories. Here I illustrate how feature saliency affects VCL, by also discussing kinds of supervisory information enabling reflective categorization. Arguably, principles debated here are often being ignored in categorization studies.
Impact of feature saliency on visual category learning
Hammer, Rubi
2015-01-01
People have to sort numerous objects into a large number of meaningful categories while operating in varying contexts. This requires identifying the visual features that best predict the ‘essence’ of objects (e.g., edibility), rather than categorizing objects based on the most salient features in a given context. To gain this capacity, visual category learning (VCL) relies on multiple cognitive processes. These may include unsupervised statistical learning, that requires observing multiple objects for learning the statistics of their features. Other learning processes enable incorporating different sources of supervisory information, alongside the visual features of the categorized objects, from which the categorical relations between few objects can be deduced. These deductions enable inferring that objects from the same category may differ from one another in some high-saliency feature dimensions, whereas lower-saliency feature dimensions can best differentiate objects from distinct categories. Here I illustrate how feature saliency affects VCL, by also discussing kinds of supervisory information enabling reflective categorization. Arguably, principles debated here are often being ignored in categorization studies. PMID:25954220
d'Isa, Raffaele; Brambilla, Riccardo; Fasano, Stefania
2014-01-01
Memory is a high-level brain function that enables organisms to adapt their behavioral responses to the environment, hence increasing their probability of survival. The Ras-ERK pathway is a key molecular intracellular signalling cascade for memory consolidation. In this chapter we will describe two main one-trial behavioral tests commonly used in the field of memory research in order to assess the role of Ras-ERK signalling in long-term memory: passive avoidance and object recognition. Passive avoidance (PA) is a fear-motivated instrumental learning task, designed by Jarvik and Essman in 1960, in which animals learn to refrain from emitting a behavioral response that has previously been associated with a punishment. We will describe here the detailed protocol and show some examples of how PA can reveal impairments or enhancements in memory consolidation following loss or gain of function genetic manipulations of the Ras-ERK pathway. The phenotypes of global mutants as Ras-GRF1 KO, GENA53, and ERK1 KO mice, as well as of conditional region-specific mutants (striatal K-CREB mice), will be illustrated as examples. Novel object recognition (NOR), developed by Ennaceur and Delacour in 1988, is instead a more recent and highly ecological test, which relies on the natural tendency of rodents to spontaneously approach and explore novel objects, representing hence a useful non-stressful tool for the study of memory in animals without the employment of punishments or starvation/water restriction regimens. Careful indications will be given on how to select the positions for the novel object, in order to counterbalance for individual side preferences among mice during the training. Finally, the methods for calculating two learning indexes will be described. In addition to the classical discrimination index (DI) that measures the ability of an animal to discriminate between two different objects which are presented at the same time, we will describe the formula of a new index that we present here for the first time, the recognition index (RI), which quantifies the ability of an animal to recognize a same object at different time points and that, by taking into account the basal individual preferences displayed during the training, can give a more accurate measure of an animal's actual recognition memory.
Wu, Lin; Wang, Yang; Pan, Shirui
2017-12-01
It is now well established that sparse representation models are working effectively for many visual recognition tasks, and have pushed forward the success of dictionary learning therein. Recent studies over dictionary learning focus on learning discriminative atoms instead of purely reconstructive ones. However, the existence of intraclass diversities (i.e., data objects within the same category but exhibit large visual dissimilarities), and interclass similarities (i.e., data objects from distinct classes but share much visual similarities), makes it challenging to learn effective recognition models. To this end, a large number of labeled data objects are required to learn models which can effectively characterize these subtle differences. However, labeled data objects are always limited to access, committing it difficult to learn a monolithic dictionary that can be discriminative enough. To address the above limitations, in this paper, we propose a weakly-supervised dictionary learning method to automatically learn a discriminative dictionary by fully exploiting visual attribute correlations rather than label priors. In particular, the intrinsic attribute correlations are deployed as a critical cue to guide the process of object categorization, and then a set of subdictionaries are jointly learned with respect to each category. The resulting dictionary is highly discriminative and leads to intraclass diversity aware sparse representations. Extensive experiments on image classification and object recognition are conducted to show the effectiveness of our approach.
Clinical pathway for video-assisted thoracic surgery: the Hong Kong story.
Sihoe, Alan D L
2016-02-01
A clinical pathway provides a scheduled, objective protocol for the multi-disciplinary, evidence-based management of patients with a specific condition or undergoing a specific procedure. In implementing a clinical pathway for the care of patients receiving video-assisted thoracic surgery (VATS) in Hong Kong, many insights were gained into what makes a clinical pathway work: meticulous preparation and team-building are keys to success; the pathway must be constantly reviewed and revisions made in response to evolving clinical need; and data collection is a key element to allow auditing and clinical research. If these can be achieved, a clinical pathway delivers not only measurable improvements in patient outcomes, but also fundamentally complements clinical advances such as VATS. This article narrates the story of how the clinical pathway for VATS in Hong Kong was created and evolved, highlighting how the above lessons were learned.
Learning Object Names at Different Hierarchical Levels Using Cross-Situational Statistics.
Chen, Chi-Hsin; Zhang, Yayun; Yu, Chen
2018-05-01
Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). This research investigates adults' ability to use cross-situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co-occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input. Copyright © 2017 Cognitive Science Society, Inc.
ERIC Educational Resources Information Center
Raghuveer, V. R.; Tripathy, B. K.
2012-01-01
With the advancements in the WWW and ICT, the e-learning domain has developed very fast. Even many educational institutions these days have shifted their focus towards the e-learning and mobile learning environments. However, from the quality of learning point of view, which is measured in terms of "active learning" taking place, the…
Learning: from association to cognition.
Shanks, David R
2010-01-01
Since the very earliest experimental investigations of learning, tension has existed between association-based and cognitive theories. Associationism accounts for the phenomena of both conditioning and "higher" forms of learning via concepts such as excitation, inhibition, and reinforcement, whereas cognitive theories assume that learning depends on hypothesis testing, cognitive models, and propositional reasoning. Cognitive theories have received considerable impetus in regard to both human and animal learning from recent research suggesting that the key illustration of cue selection in learning, blocking, often arises from inferential reasoning. At the same time, a dichotomous view that separates noncognitive, unconscious (implicit) learning from cognitive, conscious (explicit) learning has gained favor. This review selectively describes key findings from this research, evaluates evidence for and against associative and cognitive explanatory constructs, and critically examines both the dichotomous view of learning as well as the claim that learning can occur unconsciously.
Janssen, Anna; Robinson, Tracy; Shaw, Tim
2014-10-31
The Opioid Treatment Accreditation Course (OTAC) is a mandatory accreditation requirement in New South Wales, Australia, and aims to prepare medical practitioners for the provision of safe and effective Opioid Substitution Treatment to people with opioid dependence. The course has a strong focus on safe prescribing practices and the course design includes a Professional Practice Forum that is engaging for participants and effective at imparting complex ideas and concepts that do not place additional time constraints on already time-poor health professionals. The study aimed to use participatory action research methods to develop and evaluate an online Professional Practice Forum that is a key component of the OTAC teaching and learning experience. Three evaluation cycles were implemented with three cohorts of participants (N=40) to inform the design and review of the updated OTAC course. Overall, the study relied on participatory action research methods to enhance a sense of online community and to revise the Professional Practice Forum component of the course. Findings from survey feedback and an examination of Web metrics were used to monitor participant learning and were subsequently subject to thematic analysis in order to identify key themes. The use of participatory action techniques in the redesign of the OTAC course was a successful means of engaging with participants and resulted in four revisions based on feedback from facilitators and participants. The Professional Practice Forum was rated highly and received positive feedback from both moderators and participants. The use of interactive forums in online learning in an educational module for adult learners can prove extremely valuable as a means for participants to share their expertise and improve their learning outcomes. In particular, the use of sticky and welcome threads were significant features that enhanced interactions between participants and facilitators and resulted in increased quantity and quality of postings. These findings can help inform future researchers on how to develop peer engagement modules that are amenable to assessment and that build an online sense of community.
The Development of the Virtual Learning Media of the Sacred Object Artwork
ERIC Educational Resources Information Center
Nuanmeesri, Sumitra; Jamornmongkolpilai, Saran
2018-01-01
This research aimed to develop the virtual learning media of the sacred object artwork by applying the concept of the virtual technology in order to publicize knowledge on the cultural wisdom of the sacred object artwork. It was done by designing and developing the virtual learning media of the sacred object artwork for the virtual presentation.…
Proposal of a Framework for Internet Based Licensing of Learning Objects
ERIC Educational Resources Information Center
Santos, Osvaldo A.; Ramos, Fernando M. S.
2004-01-01
This paper presents a proposal of a framework whose main objective is to manage the delivery and rendering of learning objects in a digital rights controlled environment. The framework is based on a digital licensing scheme that requires each learning object to have the proper license in order to be rendered by a trusted player. A conceptual model…
Challenges in Developing XML-Based Learning Repositories
NASA Astrophysics Data System (ADS)
Auksztol, Jerzy; Przechlewski, Tomasz
There is no doubt that modular design has many advantages, including the most important ones: reusability and cost-effectiveness. In an e-leaming community parlance the modules are determined as Learning Objects (LOs) [11]. An increasing amount of learning objects have been created and published online, several standards has been established and multiple repositories developed for them. For example Cisco Systems, Inc., "recognizes a need to move from creating and delivering large inflexible training courses, to database-driven objects that can be reused, searched, and modified independent of their delivery media" [6]. The learning object paradigm of education resources authoring is promoted mainly to reduce the cost of the content development and to increase its quality. A frequently used metaphor of Learning Objects paradigm compares them to Lego Logs or objects in Object-Oriented program design [25]. However a metaphor is only an abstract idea, which should be turned to something more concrete to be usable. The problem is that many papers on LOs end up solely in metaphors. In our opinion Lego or OO metaphors are gross oversimplificatation of the problem as there is much easier to develop Lego set or design objects in OO program than develop truly interoperable, context-free learning content1.
NASA Astrophysics Data System (ADS)
Abualrob, Marwan M. A.; Gnanamalar Sarojini Daniel, Esther
2013-10-01
This article outlines how learning objectives based upon science, technology and society (STS) elements for Palestinian ninth grade science textbooks were identified, which was part of a bigger study to establish an STS foundation in the ninth grade science curriculum in Palestine. First, an initial list of STS elements was determined. Second, using this list, ninth grade science textbooks and curriculum document contents were analyzed. Third, based on this content analysis, a possible list of 71 learning objectives for the integration of STS elements was prepared. This list of learning objectives was refined by using a two-round Delphi technique. The Delphi study was used to rate and to determine the consensus regarding which items (i.e. learning objectives for STS in the ninth grade science textbooks in Palestine) are to be accepted for inclusion. The results revealed that of the initial 71 objectives in round one, 59 objectives within round two had a mean score of 5.683 or higher, which indicated that the learning objectives could be included in the development of STS modules for ninth grade science in Palestine.
Enhancing reading abilities of learners with intellectual impairments through computer technology
Warnick, Albert M.
2017-01-01
Background Developments in the teaching of children with disabilities support pedagogy that emphasises learners’ strengths as opposed to their assumed deficiencies. Educators and mediators who advocate this view continually strive for tools and methodologies that enhance learner participation in academic environments. Computer technology is one of the tools recognised for its potential to enrich learning experiences of learners with an intellectual impairment. Objectives We sought to assess the influence of text-to-speech stories on the reading ability of intellectually challenged learners. Method A qualitative action research study that involves learners at a special school in Cape Town, South Africa. Pre- and post-test data of the reading performance of learners are analysed with a focus on how they demonstrate change. Results Although no claims can be made about the explicit influence on reading performance, computer-assisted learning has the potential in isolating reading processes that classroom-based interventions can address. In addition, computers enhance motivation and enthusiasm to learn. Conclusion A need for education based on inclusion and positive differentiation remains the key driver in any educational interventions. PMID:28951849
Reproducible Computing: a new Technology for Statistics Education and Educational Research
NASA Astrophysics Data System (ADS)
Wessa, Patrick
2009-05-01
This paper explains how the R Framework (http://www.wessa.net) and a newly developed Compendium Platform (http://www.freestatistics.org) allow us to create, use, and maintain documents that contain empirical research results which can be recomputed and reused in derived work. It is illustrated that this technological innovation can be used to create educational applications that can be shown to support effective learning of statistics and associated analytical skills. It is explained how a Compendium can be created by anyone, without the need to understand the technicalities of scientific word processing (L style="font-variant: small-caps">ATEX) or statistical computing (R code). The proposed Reproducible Computing system allows educational researchers to objectively measure key aspects of the actual learning process based on individual and constructivist activities such as: peer review, collaboration in research, computational experimentation, etc. The system was implemented and tested in three statistics courses in which the use of Compendia was used to create an interactive e-learning environment that simulated the real-world process of empirical scientific research.
MO-DE-207-04: Imaging educational program on solutions to common pediatric imaging challenges
DOE Office of Scientific and Technical Information (OSTI.GOV)
Krishnamurthy, R.
This imaging educational program will focus on solutions to common pediatric imaging challenges. The speakers will present collective knowledge on best practices in pediatric imaging from their experience at dedicated children’s hospitals. The educational program will begin with a detailed discussion of the optimal configuration of fluoroscopes for general pediatric procedures. Following this introduction will be a focused discussion on the utility of Dual Energy CT for imaging children. The third lecture will address the substantial challenge of obtaining consistent image post -processing in pediatric digital radiography. The fourth and final lecture will address best practices in pediatric MRI includingmore » a discussion of ancillary methods to reduce sedation and anesthesia rates. Learning Objectives: To learn techniques for optimizing radiation dose and image quality in pediatric fluoroscopy To become familiar with the unique challenges and applications of Dual Energy CT in pediatric imaging To learn solutions for consistent post-processing quality in pediatric digital radiography To understand the key components of an effective MRI safety and quality program for the pediatric practice.« less
Shi, Leiyu; Chowdhury, Joya; Sripipatana, Alek; Zhu, Jinsheng; Sharma, Ravi; Hayashi, A. Seiji; Daly, Charles A.; Tomoyasu, Naomi; Nair, Suma; Ngo-Metzger, Quyen
2012-01-01
Objectives. We examined primary care and public health activities among federally funded health centers, to better understand their successes, the barriers encountered, and the lessons learned. Methods. We used qualitative and quantitative methods to collect data from 9 health centers, stratified by administrative division, urban–rural location, and race/ethnicity of patients served. Descriptive data on patient and institutional characteristics came from the Uniform Data System, which collects data from all health centers annually. We administered questionnaires and conducted phone interviews with key informants. Results. Health centers performed well on primary care coordination and community orientation scales and reported conducting many essential public health activities. We identified specific needs for integrating primary care and public health: (1) more funding for collaborations and for addressing the social determinants of health, (2) strong leadership to champion collaborations, (3) trust building among partners, with shared missions and clear expectations of responsibilities, and (4) alignment and standardization of data collection, analysis, and exchange. Conclusions. Lessons learned from health centers should inform strategies to better integrate public health with primary care. PMID:22690975
ERIC Educational Resources Information Center
Doets, Cees; Westerhuis, Anneke
This report organizes the discussion of six key messages from the European Union's Memorandum on Lifelong Learning that stressed the importance of lifelong learning for all citizens in the member states. Before considering the messages, Chapters 1-3 discuss the following three characteristic trends in the Netherlands in the area of lifelong…
ERIC Educational Resources Information Center
Dusenbury, Linda; Yoder, Nick
2017-01-01
The current document serves two purposes. First, it provides an overview of six key features of a high-quality, comprehensive package of policies and guidance to support student social and emotional learning (SEL). These features are based on Collaborative for Academic Social, and Emotional Learning's (CASEL's) review of the research literature on…
Key Data on Learning and Innovation through ICT at School in Europe 2011
ERIC Educational Resources Information Center
Ranguelov, Stanislav; Horvath, Anna; Dalferth, Simon; Noorani, Sogol
2011-01-01
This report on Key Data on Learning and Innovation through ICT at School in Europe 2011 builds on the previous Eurydice publications on information and communication technology in schools in Europe. It also aims to extend the theoretical framework by looking not only at the teaching and learning of ICT but also at the use of ICT to promote…
ERIC Educational Resources Information Center
Okada, Alexandra; Serra, Antonio Roberto Coelho; Ribeiro, Silvar Ferreira; da Conceição Pinto, Sônia Maria
2015-01-01
This paper presents a qualitative investigation on key skills for co-learning and co-inquiry in the digital age. The method applied was cyber-ethnography with asynchronous observation (forum and wiki) and synchronous discussions (webconference) for analysing skills developed by a co-learning community. This study focuses on participants from…
Possibilities and Expectations for mHealth in the Pacific Islands: Insights From Key Informants.
Umali, Elaine; McCool, Judith; Whittaker, Robyn
2016-01-20
The increase in mobile phone use across the globe is creating mounting interest for its application in addressing health system constraints. Although still limited, there is growing evidence of success in using mobile phones for health (mHealth) in low- and middle- income countries. The promise of mHealth to address key health system issues presents a huge potential for the Pacific Island countries where mobile use has radically increased. Current projections indicate an improved information and communications technology (ICT) environment to support greater access to mobile and digital devices in the Pacific region. The objective of the study was to explore key stakeholder perspectives on the potential for mHealth in the Pacific region. A series of in-depth interviews were conducted either face-to-face, via Skype or by email, with a series of key informants from the Pacific Rim region. Interviews were audio-recorded and later transcribed for detailed thematic analysis. We found widespread support for the potential to use mobile phones as a mechanism to facilitate improved health service delivery in the region. Essential elements for the successful development and implementation of mHealth were identified by these stakeholders. These included: developing an understanding of the local context and the problems that may be usefully addressed by the addition of mHealth to existing strategies and services; consideration of local infrastructure, capability, policy, mobile literacy and engagement; learning from others, particularly other low- and middle-income countries (LMICs); the importance of building supportive environments and of evaluation to provide evidence of impact and total cost. The rapid growth of mobile phone use in the region presents a unique juxtaposition of opportunity and promise. Though the region lags behind other LMICs in the adoption of mHealth technologies, this offers the convenience of learning from past mHealth interventions and applying these learnings to achieve scale, sustainability and success. This study deepens the understanding of the potential of mHealth for the region, and offers a baseline from which discussions can be made to examine the limitations, barriers and complexities inherent in mHealth applications.
Design of Mobile Augmented Reality in Health Care Education: A Theory-Driven Framework.
Zhu, Egui; Lilienthal, Anneliese; Shluzas, Lauren Aquino; Masiello, Italo; Zary, Nabil
2015-09-18
Augmented reality (AR) is increasingly used across a range of subject areas in health care education as health care settings partner to bridge the gap between knowledge and practice. As the first contact with patients, general practitioners (GPs) are important in the battle against a global health threat, the spread of antibiotic resistance. AR has potential as a practical tool for GPs to combine learning and practice in the rational use of antibiotics. This paper was driven by learning theory to develop a mobile augmented reality education (MARE) design framework. The primary goal of the framework is to guide the development of AR educational apps. This study focuses on (1) identifying suitable learning theories for guiding the design of AR education apps, (2) integrating learning outcomes and learning theories to support health care education through AR, and (3) applying the design framework in the context of improving GPs' rational use of antibiotics. The design framework was first constructed with the conceptual framework analysis method. Data were collected from multidisciplinary publications and reference materials and were analyzed with directed content analysis to identify key concepts and their relationships. Then the design framework was applied to a health care educational challenge. The proposed MARE framework consists of three hierarchical layers: the foundation, function, and outcome layers. Three learning theories-situated, experiential, and transformative learning-provide foundational support based on differing views of the relationships among learning, practice, and the environment. The function layer depends upon the learners' personal paradigms and indicates how health care learning could be achieved with MARE. The outcome layer analyzes different learning abilities, from knowledge to the practice level, to clarify learning objectives and expectations and to avoid teaching pitched at the wrong level. Suggestions for learning activities and the requirements of the learning environment form the foundation for AR to fill the gap between learning outcomes and medical learners' personal paradigms. With the design framework, the expected rational use of antibiotics by GPs is described and is easy to execute and evaluate. The comparison of specific expected abilities with the GP personal paradigm helps solidify the GP practical learning objectives and helps design the learning environment and activities. The learning environment and activities were supported by learning theories. This paper describes a framework for guiding the design, development, and application of mobile AR for medical education in the health care setting. The framework is theory driven with an understanding of the characteristics of AR and specific medical disciplines toward helping medical education improve professional development from knowledge to practice. Future research will use the framework as a guide for developing AR apps in practice to validate and improve the design framework.
ERIC Educational Resources Information Center
Chiu, Thomas K. F.; Churchill, Daniel
2016-01-01
Literature suggests using multimedia learning principles in the design of instructional material. However, these principles may not be sufficient for the design of learning objects for concept learning in mathematics. This paper reports on an experimental study that investigated the effects of an instructional approach, which includes two teaching…
[Effect of object consistency in a spatial contextual cueing paradigm].
Takeda, Yuji
2008-04-01
Previous studies demonstrated that attention can be quickly guided to a target location in a visual search task when the spatial configurations of search items and/or the object identities were repeated in the previous trials. This phenomenon is termed contextual cueing. Recently, it was reported that spatial configuration learning and object identity learning occurred independently, when novel contours were used as search items. The present study examined whether this learning occurred independently even when the search items were meaningful. The results showed that the contextual cueing effect was observed even if the relationships between the spatial locations and object identities were jumbled (Experiment 1). However, it disappeared when the search items were changed into geometric patterns (Experiment 2). These results suggest that the spatial configuration can be learned independent of the object identities; however, the use of the learned configuration is restricted by the learning situations.
Mobile Authoring of Open Educational Resources as Reusable Learning Objects
ERIC Educational Resources Information Center
Kinshuk; Jesse, Ryan
2013-01-01
E-learning technologies have allowed authoring and playback of standardized reusable learning objects (RLO) for several years. Effective mobile learning requires similar functionality at both design time and runtime. Mobile devices can play RLO using applications like SMILE, mobile access to a learning management system (LMS), or other systems…
An Intelligent Semantic E-Learning Framework Using Context-Aware Semantic Web Technologies
ERIC Educational Resources Information Center
Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko
2006-01-01
Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…
Grading for Understanding--Standards-Based Grading
ERIC Educational Resources Information Center
Zimmerman, Todd
2017-01-01
Standards-based grading (SBG), sometimes called learning objectives-based assessment (LOBA), is an assessment model that relies on students demonstrating mastery of learning objectives (sometimes referred to as standards). The goal of this grading system is to focus students on mastering learning objectives rather than on accumulating points. I…
Key Objectives Bank: Year 9. Key Stage 3: National Strategy.
ERIC Educational Resources Information Center
Department for Education and Skills, London (England).
In each sub-section of the "Framework for Teaching English: Years 7, 8 and 9," certain key objectives are identified in boldface print. These objectives are key because they signify skills or understanding which are crucial to pupils' language development. They are challenging for the age group and are important markers of progress. This…
Nuclear rapprochement in Argentina and Brazil: Workshop summary
DOE Office of Scientific and Technical Information (OSTI.GOV)
James E. Doyle
1999-10-01
On October 21 and 22, 1998, the Center for International Security Affairs at Los Alamos National Laboratory and the Center for Global Security and Cooperation at Science Applications International Corporation hosted the first of a series of work-shops on states that have chosen to roll back their pursuit of nuclear arms. The objective of the workshop series is to conduct a systematic evaluation of the roles played by U.S. nonproliferation policy in cases of nuclear rollback or restraint and to provide recommendations for future nonproliferation efforts based on lessons learned. Key attendees at the workshop included officials and former officialsmore » from the foreign ministries of Argentina and Brazil, and current and former officials from the U.S. Department of State, the Arms Control and Disarmament Agency (ACDA), and the Department of Energy (DOE). Scholars and independent researchers who have examined nuclear policy in Argentina and Brazil also participated. This workshop report includes important background information that helps set the stage for assessing nuclear policies in Argentina and Brazil. It describes national perspectives and areas of consensus and debate among the participants, particularly on the questions of lessons learned and their salience to proliferation challenges in other states. It also summarizes key questions and propositions regarding the roles played in these cases by U.S. nonproliferation policy.« less
Digital learning objects in nursing consultation: technology assessment by undergraduate students.
Silveira, DeniseTolfo; Catalan, Vanessa Menezes; Neutzling, Agnes Ludwig; Martinato, Luísa Helena Machado
2010-01-01
This study followed the teaching-learning process about the nursing consultation, based on digital learning objects developed through the active Problem Based Learning method. The goals were to evaluate the digital learning objects about nursing consultation, develop cognitive skills on the subject using problem based learning and identify the students' opinions on the use of technology. This is an exploratory and descriptive study with a quantitative approach. The sample consisted of 71 students in the sixth period of the nursing program at the Federal University of Rio Grande do Sul. The data was collected through a questionnaire to evaluate the learning objects. The results showed positive agreement (58%) on the content, usability and didactics of the proposed computer-mediated activity regarding the nursing consultation. The application of materials to the students is considered positive.
ERIC Educational Resources Information Center
Kilbrink, Nina; Bjurulf, Veronica; Blomberg, Ingela; Heidkamp, Anja; Hollsten, Ann-Christin
2014-01-01
This article describes the process of a learning study conducted in technology education in a Swedish preschool class. The learning study method used in this study is a collaborative method, where researchers and teachers work together as a team concerning teaching and learning about a specific learning object. The object of learning in this study…
Kalal, Zdenek; Mikolajczyk, Krystian; Matas, Jiri
2012-07-01
This paper investigates long-term tracking of unknown objects in a video stream. The object is defined by its location and extent in a single frame. In every frame that follows, the task is to determine the object's location and extent or indicate that the object is not present. We propose a novel tracking framework (TLD) that explicitly decomposes the long-term tracking task into tracking, learning, and detection. The tracker follows the object from frame to frame. The detector localizes all appearances that have been observed so far and corrects the tracker if necessary. The learning estimates the detector's errors and updates it to avoid these errors in the future. We study how to identify the detector's errors and learn from them. We develop a novel learning method (P-N learning) which estimates the errors by a pair of "experts": (1) P-expert estimates missed detections, and (2) N-expert estimates false alarms. The learning process is modeled as a discrete dynamical system and the conditions under which the learning guarantees improvement are found. We describe our real-time implementation of the TLD framework and the P-N learning. We carry out an extensive quantitative evaluation which shows a significant improvement over state-of-the-art approaches.
Key factors influencing the intention of telecare adoption: an institutional perspective.
Liu, Chung-Feng
2011-05-01
The objective of this study was to explore key factors of influence on the adoption of telecare by care institutions. This investigation was based on an extensive Technology-Organization-Environment framework comprising the four constructs of technology, organization, environment, and the project planning as well as corresponding variables. This study utilized a self-administered questionnaire for data collection, focusing on the managers of all 339 nursing homes in Taiwan for the census survey. A total of 70 valid questionnaires yielded a response rate of 20.65%. After analyzing the responses through the Partial Least Squares approach, government support, technological knowledge, supplier support, team skills, and compatibility were found to be the five key factors that positively impact intention to adopt telecare from an institutional perspective. The results of this study indicated that care institutions, for the most part, are willing to develop telecare and are already incorporating preliminary applications of telecare, such as distance learning and resident positioning. Solutions to potential issues related to implementing telecare in practice are also proposed in this study.
Williams, Caroline
2010-09-01
To critically review the work-based learning literature and explore the implications of the findings for the development of work-based learning programmes. With NHS budgets under increasing pressure, and challenges to the impact of classroom-based learning on patient outcomes, work-based learning is likely to come under increased scrutiny as a potential solution. Evidence from higher education institutions suggests that work-based learning can improve practice, but in many cases it is perceived as little more than on-the-job training to perform tasks. The CINAHL database was searched using the keywords work-based learning, work-place learning and practice-based learning. Those articles that had a focus on post-registration nursing were selected and critically reviewed. Using the review of the literature, three key issues were explored. Work-based learning has the potential to change practice. Learning how to learn and critical reflection are key features. For effective work-based learning nurses need to take control of their own learning, receive support to critically reflect on their practice and be empowered to make changes to that practice. A critical review of the literature has identified essential considerations for the implementation of work-based learning. A change in culture from classroom to work-based learning requires careful planning and consideration of learning cultures. To enable effective work-based learning, nurse managers need to develop a learning culture in their workplace. They should ensure that skilled facilitation is provided to support staff with critical reflection and effecting changes in practice. CONTRIBUTION TO NEW KNOWLEDGE: This paper has identified three key issues that need to be considered in the development of work-based learning programmes. © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.
Joshi, Anuradha Sujai; Ganjiwale, Jaishree Deepak; Varma, Jagdish; Singh, Praveen; Modi, Jyoti Nath; Singh, Tejinder
2017-12-01
Globally, students with top academic performance and high intellectual capacity usually opt to study medicine. However, once students get enrolled, their academic performance varies widely. Such variations appear to be determined by various factors, one of them being types of learning strategies adopted by students. The learning strategies utilized by the students with better academic performance are likely to be more effective learning strategies. The objective is to identify effective learning strategies used by medical students. This study was carried out among the MBBS students of Final Professional Part I. Students were categorized into three groups namely: high, average, and low rankers based on overall academic performance in second Professional University examination. First, a questionnaire consisting of closed- and open-ended questions was administered to students, to find their learning strategies. Subsequently, focus group discussion and in-depth interviews were conducted for high- and low-rankers. Discussions were audio-recorded, transcribed, and analyzed. Key statements were highlighted, collated, and categorized into general themes and sub-themes. Evident themes which emerged as effective strategies were hard work in the form of regularity of studies, meticulous preparation of notes, constructive use of time, utilization of e-learning, learning styles and deep learning approach and regular ward visits. Intrinsic motivation, family support, balancing physical activities and studies, guidance by seniors, teachers, dealing with nonacademic issues such as language barriers and stress were also identified as important strategies. Disseminating effective learning strategies in a systematic manner may be helpful to students in achieving better academic outcomes. Furthermore, educationists need to modulate their teaching strategies based on students' feedback.
Automotive Mechanics. Student Learning Guides.
ERIC Educational Resources Information Center
Ridge Vocational-Technical Center, Winter Haven, FL.
These 33 learning guides are self-instructional packets for 33 tasks identified as essential for performance on an entry-level job in automotive mechanics. Each guide is based on a terminal performance objective (task) and 1-9 enabling objectives. For each enabliing objective, some or all of these materials may be presented: learning steps…
Learning and Forgetting New Names and Objects in MCI and AD
ERIC Educational Resources Information Center
Gronholm-Nyman, Petra; Rinne, Juha O.; Laine, Matti
2010-01-01
We studied how subjects with mild cognitive impairment (MCI), early Alzheimer's disease (AD) and age-matched controls learned and maintained the names of unfamiliar objects that were trained with or without semantic support (object definitions). Naming performance, phonological cueing, incidental learning of the definitions and recognition of the…
Information Retrieval in Virtual Universities
ERIC Educational Resources Information Center
Puustjärvi, Juha; Pöyry, Päivi
2006-01-01
Information retrieval in the context of virtual universities deals with the representation, organization, and access to learning objects. The representation and organization of learning objects should provide the learner with an easy access to the learning objects. In this article, we give an overview of the ONES system, and analyze the relevance…
Learning Objects for Educational Applications via PDA Technology
ERIC Educational Resources Information Center
Churchill, Daniel
2008-01-01
This article discusses an ongoing study into issues relevant to the design of learning objects for educational applications via portable digital assistant (PDA) technology. The specific areas of inquiry in this study are: the kinds of learning objects that are effective for PDA delivery; contexts for their effective educational applications; and…
Mechanical Drafting. Student Learning Guides.
ERIC Educational Resources Information Center
Ridge Vocational-Technical Center, Winter Haven, FL.
These four learning guides are self-instructional packets for four tasks identified as essential for performance on an entry-level job in mechanical drafting. Each guide is based on a terminal performance objective (task) and 2-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps…
Livestock. Student Learning Guides.
ERIC Educational Resources Information Center
Ridge Vocational-Technical Center, Winter Haven, FL.
These 25 learning guides are self-instructional packets for 25 tasks identified as essential for performance on an entry-level job in livestock production. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline…
FILILAB: Creation and Use of a Learning Object Repository for EFL
ERIC Educational Resources Information Center
Litzler, Mary Frances; Garcia Laborda, Jesus; Halbach, Ana
2012-01-01
Background: Students at the Universidad de Alcala need batteries of learning objects and exercises. Although student textbooks tend to include a wide range of additional exercises, students in advanced linguistics and language courses require learning objects to obtain additional practice. Online repositories offer excellent opportunities for…
APA's Learning Objectives for Research Methods and Statistics in Practice: A Multimethod Analysis
ERIC Educational Resources Information Center
Tomcho, Thomas J.; Rice, Diana; Foels, Rob; Folmsbee, Leah; Vladescu, Jason; Lissman, Rachel; Matulewicz, Ryan; Bopp, Kara
2009-01-01
Research methods and statistics courses constitute a core undergraduate psychology requirement. We analyzed course syllabi and faculty self-reported coverage of both research methods and statistics course learning objectives to assess the concordance with APA's learning objectives (American Psychological Association, 2007). We obtained a sample of…
Learning Objects Update: Review and Critical Approach to Content Aggregation
ERIC Educational Resources Information Center
Balatsoukas, Panos; Morris, Anne; O'Brien, Ann
2008-01-01
The structure and composite nature of a learning object is still open to interpretation. Although several theoretical studies advocate integrated approaches to the structure and aggregation level of learning objects, in practice, many content specifications, such as SCORM, IMS Content Packaging, and course authoring tools, do not explicitly state…
Emberson, Lauren L.; Rubinstein, Dani
2016-01-01
The influence of statistical information on behavior (either through learning or adaptation) is quickly becoming foundational to many domains of cognitive psychology and cognitive neuroscience, from language comprehension to visual development. We investigate a central problem impacting these diverse fields: when encountering input with rich statistical information, are there any constraints on learning? This paper examines learning outcomes when adult learners are given statistical information across multiple levels of abstraction simultaneously: from abstract, semantic categories of everyday objects to individual viewpoints on these objects. After revealing statistical learning of abstract, semantic categories with scrambled individual exemplars (Exp. 1), participants viewed pictures where the categories as well as the individual objects predicted picture order (e.g., bird1—dog1, bird2—dog2). Our findings suggest that participants preferentially encode the relationships between the individual objects, even in the presence of statistical regularities linking semantic categories (Exps. 2 and 3). In a final experiment we investigate whether learners are biased towards learning object-level regularities or simply construct the most detailed model given the data (and therefore best able to predict the specifics of the upcoming stimulus) by investigating whether participants preferentially learn from the statistical regularities linking individual snapshots of objects or the relationship between the objects themselves (e.g., bird_picture1— dog_picture1, bird_picture2—dog_picture2). We find that participants fail to learn the relationships between individual snapshots, suggesting a bias towards object-level statistical regularities as opposed to merely constructing the most complete model of the input. This work moves beyond the previous existence proofs that statistical learning is possible at both very high and very low levels of abstraction (categories vs. individual objects) and suggests that, at least with the current categories and type of learner, there are biases to pick up on statistical regularities between individual objects even when robust statistical information is present at other levels of abstraction. These findings speak directly to emerging theories about how systems supporting statistical learning and prediction operate in our structure-rich environments. Moreover, the theoretical implications of the current work across multiple domains of study is already clear: statistical learning cannot be assumed to be unconstrained even if statistical learning has previously been established at a given level of abstraction when that information is presented in isolation. PMID:27139779
Allen, Edwin B; Walls, Richard T; Reilly, Frank D
2008-02-01
This study investigated the effects of interactive instructional techniques in a web-based peripheral nervous system (PNS) component of a first year medical school human anatomy course. Existing data from 9 years of instruction involving 856 students were used to determine (1) the effect of web-based interactive instructional techniques on written exam item performance and (2) differences between student opinions of the benefit level of five different types of interactive learning objects used. The interactive learning objects included Patient Case studies, review Games, Simulated Interactive Patients (SIP), Flashcards, and unit Quizzes. Exam item analysis scores were found to be significantly higher (p < 0.05) for students receiving the instructional treatment incorporating the web-based interactive learning objects than for students not receiving this treatment. Questionnaires using a five-point Likert scale were analysed to determine student opinion ratings of the interactive learning objects. Students reported favorably on the benefit level of all learning objects. Students rated the benefit level of the Simulated Interactive Patients (SIP) highest, and this rating was significantly higher (p < 0.05) than all other learning objects. This study suggests that web-based interactive instructional techniques improve student exam performance. Students indicated a strong acceptance of Simulated Interactive Patient learning objects.
Van Hoof, Thomas J; Doyle, Terrence J
2018-01-15
Learning science is an emerging interdisciplinary field that offers educators key insights about what happens in the brain when learning occurs. In addition to explanations about the learning process, which includes memory and involves different parts of the brain, learning science offers effective strategies to inform the planning and implementation of activities and programs in continuing education and continuing professional development. This article provides a brief description of learning, including the three key steps of encoding, consolidation and retrieval. The article also introduces four major learning-science strategies, known as distributed learning, retrieval practice, interleaving, and elaboration, which share the importance of considerable practice. Finally, the article describes how learning science aligns with the general findings from the most recent synthesis of systematic reviews about the effectiveness of continuing medical education.
Near or far: The effect of spatial distance and vocabulary knowledge on word learning.
Axelsson, Emma L; Perry, Lynn K; Scott, Emilly J; Horst, Jessica S
2016-01-01
The current study investigated the role of spatial distance in word learning. Two-year-old children saw three novel objects named while the objects were either in close proximity to each other or spatially separated. Children were then tested on their retention for the name-object associations. Keeping the objects spatially separated from each other during naming was associated with increased retention for children with larger vocabularies. Children with a lower vocabulary size demonstrated better retention if they saw objects in close proximity to each other during naming. This demonstrates that keeping a clear view of objects during naming improves word learning for children who have already learned many words, but keeping objects within close proximal range is better for children at earlier stages of vocabulary acquisition. The effect of distance is therefore not equal across varying vocabulary sizes. The influences of visual crowding, cognitive load, and vocabulary size on word learning are discussed. Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.
Evidence-based decision-making as a practice-based learning skill: a pilot study.
Falzer, Paul R; Garman, D Melissa
2012-03-01
As physicians are being trained to adapt their practices to the needs and experience of patients, initiatives to standardize care have been gaining momentum. The resulting conflict can be addressed through a practice-based learning and improvement (PBL) program that develops competency in using treatment guidelines as decision aids and incorporating patient-specific information into treatment recommendations. This article describes and tests a program that is consistent with the ACGME's multilevel competency-based approach, targets students at four levels of training, and features progressive learning objectives and assessments. The program was pilot-tested with 22 paid volunteer psychiatric residents and fellows. They were introduced to a schizophrenia treatment guideline and reviewed six case vignettes of varying complexity. PBL assessments were based on how treatment recommendations were influenced by clinical and patient-specific factors. The task permitted separate assessments of learning objectives all four training levels. Among the key findings at each level, most participants found the treatment guideline helpful in making treatment decisions. Recommendations were influenced by guideline-based assessment criteria and other clinical features. They were also influenced by patients' perceptions of their illness, patient-based progress assessments, and complications such as stressors and coping patterns. Recommendations were strongly influenced by incongruence between clinical facts and patient experience. Practical understanding of how patient experience joins with clinical knowledge can enhance the use of treatment guidelines as decision tools and enable clinicians to appreciate more fully how and why patients' perceptions of their illness should influence treatment recommendations. This PBL program can assist training facilities in preparing students to cope with contradictory demands to both standardize and adapt their practice. The program can be modified to accommodate various disorders and a range of clinical factors and patient-specific complications.
Learning Plate Tectonics Using a Pre-Analogy Step
NASA Astrophysics Data System (ADS)
Glesener, G. B.; Sandoval, W. A.
2011-12-01
Previous research has shown that children tend to demonstrate lower performance on analogical reasoning tasks at a causal relations level compared to most adults (Gentner & Toupin, 1986). This tendency is an obstacle that geoscience educators must overcome because of the high frequency of analogies used in geoscience pedagogy. In particular, analog models are used to convey complex systems of non-everyday/non-observable events found in nature, such as plate tectonics. Key factors in successful analogical reasoning that have been suggested by researchers include knowledge of the causal relations in the base analog (Brown & Kane, 1988; Gentner, 1988; Gentner & Toupin, 1986), and development of learning strategies and metaconceptual competence(Brown & Kane, 1988). External factors, such as guiding cues and hints have been useful cognitive supports that help students reason through analogical problems (Gick & Holyoak, 1980). Cognitive supports have been seen by researchers to decrease processing demands on retrieval and working memory (Richland, Zur, & Holyoak, 2007). We observed third and fourth graders learning about plate tectonics beginning with a pre-analogy step-a cognitive support activity a student can do before working with an analogy to understand the target. This activity was designed to aid students in developing their understanding of object attributes and relations within an analog model so that more focus can be placed on mapping the corresponding higher-order relations between the base and target. Students learned targeted concepts of plate tectonics, as measured by pre to post gains on items adapted from the Geosciences Concept Inventory. Analyses of classroom interaction showed that students used the object attributes and higher-order relations highlighted in the pre-analogy activity as resources to reason about plate boundaries and plate movement during earthquakes.
Changes in Visual Object Recognition Precede the Shape Bias in Early Noun Learning
Yee, Meagan; Jones, Susan S.; Smith, Linda B.
2012-01-01
Two of the most formidable skills that characterize human beings are language and our prowess in visual object recognition. They may also be developmentally intertwined. Two experiments, a large sample cross-sectional study and a smaller sample 6-month longitudinal study of 18- to 24-month-olds, tested a hypothesized developmental link between changes in visual object representation and noun learning. Previous findings in visual object recognition indicate that children’s ability to recognize common basic level categories from sparse structural shape representations of object shape emerges between the ages of 18 and 24 months, is related to noun vocabulary size, and is lacking in children with language delay. Other research shows in artificial noun learning tasks that during this same developmental period, young children systematically generalize object names by shape, that this shape bias predicts future noun learning, and is lacking in children with language delay. The two experiments examine the developmental relation between visual object recognition and the shape bias for the first time. The results show that developmental changes in visual object recognition systematically precede the emergence of the shape bias. The results suggest a developmental pathway in which early changes in visual object recognition that are themselves linked to category learning enable the discovery of higher-order regularities in category structure and thus the shape bias in novel noun learning tasks. The proposed developmental pathway has implications for understanding the role of specific experience in the development of both visual object recognition and the shape bias in early noun learning. PMID:23227015
Bloom's taxonomy of cognitive learning objectives.
Adams, Nancy E
2015-07-01
Information professionals who train or instruct others can use Bloom's taxonomy to write learning objectives that describe the skills and abilities that they desire their learners to master and demonstrate. Bloom's taxonomy differentiates between cognitive skill levels and calls attention to learning objectives that require higher levels of cognitive skills and, therefore, lead to deeper learning and transfer of knowledge and skills to a greater variety of tasks and contexts.
ERIC Educational Resources Information Center
Salkhanova, Zhanat H.; Lee, Valentine S.; Tumanova, Ainakul B.; Zhusanbaeva, Aida T.
2016-01-01
The research object is the activity-based learning theory. The purpose of the study is to prove the assumption that the subject-object approach as a direction of the learning theory is the most effective one in the context of development of modern paradigms of linguistic education. The authors believe that the main content of the learning activity…
Shepard, Michelle E; Sastre, Elizabeth A; Davidson, Mario A; Fleming, Amy E
2012-01-01
Individualized Learning Plans (ILPs) are an effective tool for promoting self-directed learning among residents. However, no literature details ILP use among medical students. Fifty fourth-year sub-interns in pediatrics and internal medicine created ILPs, including a self-assessment of strengths and weaknesses based on ACGME core competencies and the setting of learning objectives. During weekly follow-up meetings with faculty mentors and peers, students discussed challenges and revised goals. Upon completion of the rotation, students completed a survey of Likert-scale questions addressing satisfaction with and perceived utility of ILP components. Students most often self-identified strengths in the areas of Professionalism and Interpersonal and Communication Skills and weaknesses in Patient Care and Systems-Based Practice. Eighty-two percent set at least one learning objective in an identified area of weakness. Students expressed high confidence in their abilities to create achievable learning objectives and to generate strategies to meet those objectives. Students agreed that discussions during group meetings were meaningful, and they identified the setting learning objectives and weekly meetings as the most important elements of the exercise. Fourth-year sub-interns reported that ILPs helped them to accomplish rotation goals, with the setting of learning objectives and weekly discussions being the most useful elements.
An Adaptive Navigation Support System for Conducting Context-Aware Ubiquitous Learning in Museums
ERIC Educational Resources Information Center
Chiou, Chuang-Kai; Tseng, Judy C. R.; Hwang, Gwo-Jen; Heller, Shelly
2010-01-01
In context-aware ubiquitous learning, students are guided to learn in the real world with personalized supports from the learning system. As the learning resources are realistic objects in the real world, certain physical constraints, such as the limitation of stream of people who visit the same learning object, the time for moving from one object…
Ontologies for Effective Use of Context in E-Learning Settings
ERIC Educational Resources Information Center
Jovanovic, Jelena; Gasevic, Dragan; Knight, Colin; Richards, Griff
2007-01-01
This paper presents an ontology-based framework aimed at explicit representation of context-specific metadata derived from the actual usage of learning objects and learning designs. The core part of the proposed framework is a learning object context ontology, that leverages a range of other kinds of learning ontologies (e.g., user modeling…
Throw out Learning Objectives! In Support of a New Taxonomy
ERIC Educational Resources Information Center
Gander, Sharon L.
2006-01-01
In the right hands, learning objectives are great tools for clarifying thinking, breaking down learning into component parts, creating a logical order to learning, and demonstrating that a learning intervention is successful. Mostly, however, they have become cliches. With the industry's tendency to use them as pro forma media bites, they tend to…
Learning from Online Modules in Diverse Instructional Contexts
ERIC Educational Resources Information Center
Nugent, Gwen; Kohmetscher, Amy; Namuth-Covert, Deana; Guretzky, John; Murphy, Patrick; Lee, DoKyoung
2016-01-01
Learning objects originally developed for use in online learning environments can also be used to enhance face-to-face instruction. This study examined the learning impacts of online learning objects packaged into modules and used in different contexts for undergraduate education offered on campus at three institutions. A multi-case study approach…
Mechanisms of object recognition: what we have learned from pigeons
Soto, Fabian A.; Wasserman, Edward A.
2014-01-01
Behavioral studies of object recognition in pigeons have been conducted for 50 years, yielding a large body of data. Recent work has been directed toward synthesizing this evidence and understanding the visual, associative, and cognitive mechanisms that are involved. The outcome is that pigeons are likely to be the non-primate species for which the computational mechanisms of object recognition are best understood. Here, we review this research and suggest that a core set of mechanisms for object recognition might be present in all vertebrates, including pigeons and people, making pigeons an excellent candidate model to study the neural mechanisms of object recognition. Behavioral and computational evidence suggests that error-driven learning participates in object category learning by pigeons and people, and recent neuroscientific research suggests that the basal ganglia, which are homologous in these species, may implement error-driven learning of stimulus-response associations. Furthermore, learning of abstract category representations can be observed in pigeons and other vertebrates. Finally, there is evidence that feedforward visual processing, a central mechanism in models of object recognition in the primate ventral stream, plays a role in object recognition by pigeons. We also highlight differences between pigeons and people in object recognition abilities, and propose candidate adaptive specializations which may explain them, such as holistic face processing and rule-based category learning in primates. From a modern comparative perspective, such specializations are to be expected regardless of the model species under study. The fact that we have a good idea of which aspects of object recognition differ in people and pigeons should be seen as an advantage over other animal models. From this perspective, we suggest that there is much to learn about human object recognition from studying the “simple” brains of pigeons. PMID:25352784
What Campuses Need to Know about Organizational Learning and the Learning Organization
ERIC Educational Resources Information Center
Kezar, Adrianna
2005-01-01
This chapter provides an overview of the literature on organizational learning and the learning organization, sets out key concepts in each area, and reviews the way that organizational learning and the learning organization have been applied within higher education.
Missouri Program Highlights How Standards Make a Difference
ERIC Educational Resources Information Center
Killion, Joellen
2017-01-01
Professional development designed to integrate key features of research-based professional learning has positive and significant effects on teacher practice and student achievement in mathematics when implemented in schools that meet specified technology-readiness criteria. Key features of research-based professional learning include intensive…
Adult Learning in Health Professions Education
ERIC Educational Resources Information Center
Bierema, Laura L.
2018-01-01
This chapter focuses on the process of learning in health professions education (HPE) in terms of key issues that shape HPE learning and essential strategies for promoting and facilitating learning among professionals.
Rapid effects of dorsal hippocampal G-protein coupled estrogen receptor on learning in female mice.
Lymer, Jennifer; Robinson, Alana; Winters, Boyer D; Choleris, Elena
2017-03-01
Through rapid mechanisms of action, estrogens affect learning and memory processes. It has been shown that 17β-estradiol and an Estrogen Receptor (ER) α agonist enhances performance in social recognition, object recognition, and object placement tasks when administered systemically or infused in the dorsal hippocampus. In contrast, systemic and dorsal hippocampal ERβ activation only promote spatial learning. In addition, 17β-estradiol, the ERα and the G-protein coupled estrogen receptor (GPER) agonists increase dendritic spine density in the CA1 hippocampus. Recently, we have shown that selective systemic activation of the GPER also rapidly facilitated social recognition, object recognition, and object placement learning in female mice. Whether activation the GPER specifically in the dorsal hippocampus can also rapidly improve learning and memory prior to acquisition is unknown. Here, we investigated the rapid effects of infusion of the GPER agonist, G-1 (dose: 50nM, 100nM, 200nM), in the dorsal hippocampus on social recognition, object recognition, and object placement learning tasks in home cage. These paradigms were completed within 40min, which is within the range of rapid estrogenic effects. Dorsal hippocampal administration of G-1 improved social (doses: 50nM, 200nM G-1) and object (dose: 200nM G-1) recognition with no effect on object placement. Additionally, when spatial cues were minimized by testing in a Y-apparatus, G-1 administration promoted social (doses: 100nM, 200nM G-1) and object (doses: 50nM, 100nM, 200nM G-1) recognition. Therefore, like ERα, the GPER in the hippocampus appears to be sufficient for the rapid facilitation of social and object recognition in female mice, but not for the rapid facilitation of object placement learning. Thus, the GPER in the dorsal hippocampus is involved in estrogenic mediation of learning and memory and these effects likely occur through rapid signalling mechanisms. Copyright © 2016 Elsevier Ltd. All rights reserved.
Ego-Motion and Tracking for Continuous Object Learning: A Brief Survey
2017-09-01
ARL-TR-8167• SEP 2017 US Army Research Laboratory Ego-motion and Tracking for ContinuousObject Learning: A Brief Survey by Jason Owens and Philip...SEP 2017 US Army Research Laboratory Ego-motion and Tracking for ContinuousObject Learning: A Brief Survey by Jason Owens and Philip OsteenVehicle...
Parts Marketing. A Student Learning Guide.
ERIC Educational Resources Information Center
Ridge Vocational-Technical Center, Winter Haven, FL.
This learning guide is a self-instructional packet for one task identified as essential for performance on an entry-level job in parts marketing. The guide is based on a terminal performance objective (task) and two enabling objectives. For each enabling objective, some or all of these materials may be presented: learning steps (outline of student…
Transformative Sustainability Learning: Cultivating a Tree-Planting Ethos in Western Kenya
ERIC Educational Resources Information Center
Bull, Marijoan
2013-01-01
Given the fundamental objective of ESD--perspective change--it is increasingly being aligned with the theoretical foundation of Mezirow's Transformative Learning. In 2008, Sipos et al. built upon this connection by proposing a matrix of learning objectives to assess ESD in formal settings. These objectives, grouped under the title of…
Semantic Overlays in Educational Content Networks--The hylOs Approach
ERIC Educational Resources Information Center
Engelhardt, Michael; Hildebrand, Arne; Lange, Dagmar; Schmidt, Thomas C.
2006-01-01
Purpose: The paper aims to introduce an educational content management system, Hypermedia Learning Objects System (hylOs), which is fully compliant to the IEEE LOM eLearning object metadata standard. Enabled through an advanced authoring toolset, hylOs allows the definition of instructional overlays of a given eLearning object mesh.…