Sample records for years learning framework

  1. Interrogating "Belonging" in Belonging, Being and Becoming: The Early Years Learning Framework for Australia

    ERIC Educational Resources Information Center

    Sumsion, Jennifer; Wong, Sandie

    2011-01-01

    In this article, the authors interrogate the use of "belonging" in "Belonging, Being and Becoming: the Early Years Learning Framework for Australia" (EYLF), Australia's first national curriculum for early childhood education and care settings and, from the authors' interrogation, possibilities are offered for thinking about and…

  2. The Head Start Child Development and Early Learning Framework: Promoting Positive Outcomes in Early Childhood Programs Serving Children 3-5 Years Old

    ERIC Educational Resources Information Center

    Office of Head Start, US Department of Health and Human Services, 2010

    2010-01-01

    This report presents a revision of the Head Start Child Outcomes Framework (2000), renamed The Head Start Child Development and Learning Framework: Promoting Positive Outcomes in Early Childhood Programs Serving Children 3-5 Years Old. The Framework outlines the essential areas of development and learning that are to be used by Head Start programs…

  3. The Theory of "Belonging": Defining Concepts Used within Belonging, Being and Becoming--the Australian Early Years Learning Framework

    ERIC Educational Resources Information Center

    Peers, Chris; Fleer, Marilyn

    2014-01-01

    The implementation in 2009-10 of the Early Years Learning Framework (EYLF) spearheaded the efforts of the Australian Commonwealth government to institute a national curriculum. The theme of the new early childhood framework follows three guiding concepts: Belonging, Being and Becoming. In this article, we discuss these three concepts in order to…

  4. BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing

    NASA Astrophysics Data System (ADS)

    Dong, Bo; Zheng, Qinghua; Qiao, Mu; Shu, Jian; Yang, Jie

    Currently, E-Learning has grown into a widely accepted way of learning. With the huge growth of users, services, education contents and resources, E-Learning systems are facing challenges of optimizing resource allocations, dealing with dynamic concurrency demands, handling rapid storage growth requirements and cost controlling. In this paper, an E-Learning framework based on cloud computing is presented, namely BlueSky cloud framework. Particularly, the architecture and core components of BlueSky cloud framework are introduced. In BlueSky cloud framework, physical machines are virtualized, and allocated on demand for E-Learning systems. Moreover, BlueSky cloud framework combines with traditional middleware functions (such as load balancing and data caching) to serve for E-Learning systems as a general architecture. It delivers reliable, scalable and cost-efficient services to E-Learning systems, and E-Learning organizations can establish systems through these services in a simple way. BlueSky cloud framework solves the challenges faced by E-Learning, and improves the performance, availability and scalability of E-Learning systems.

  5. An e-Learning Theoretical Framework

    ERIC Educational Resources Information Center

    Aparicio, Manuela; Bacao, Fernando; Oliveira, Tiago

    2016-01-01

    E-learning systems have witnessed a usage and research increase in the past decade. This article presents the e-learning concepts ecosystem. It summarizes the various scopes on e-learning studies. Here we propose an e-learning theoretical framework. This theory framework is based upon three principal dimensions: users, technology, and services…

  6. A Framework for Mobile Learning for Enhancing Learning in Higher Education

    ERIC Educational Resources Information Center

    Barreh, Kadar Abdillahi; Abas, Zoraini Wati

    2015-01-01

    As mobile learning becomes increasingly pervasive, many higher education institutions have initiated a number of mobile learning initiatives to support their traditional learning modes. This study proposes a framework for mobile learning for enhancing learning in higher education. This framework for mobile learning is based on research conducted…

  7. Leadership of Learning in Early Years Practice: A Professional Learning Resource [Includes DVD

    ERIC Educational Resources Information Center

    Hallet, Elaine

    2014-01-01

    This book focuses upon effective pedagogical leadership and practice in the leadership of learning within early years settings and children's centres. The book and accompanying DVD, containing real-life examples of early years leaders, provides a framework for reflective thinking and learning for those leading practice and working with children,…

  8. The application of language-game theory to the analysis of science learning: Developing an interpretive classroom-level learning framework

    NASA Astrophysics Data System (ADS)

    Ahmadibasir, Mohammad

    In this study an interpretive learning framework that aims to measure learning on the classroom level is introduced. In order to develop and evaluate the value of the framework, a theoretical/empirical study is designed. The researcher attempted to illustrate how the proposed framework provides insights on the problem of classroom-level learning. The framework is developed by construction of connections between the current literature on science learning and Wittgenstein's language-game theory. In this framework learning is defined as change of classroom language-game or discourse. In the proposed framework, learning is measured by analysis of classroom discourse. The empirical explanation power of the framework is evaluated by applying the framework in the analysis of learning in a fifth-grade science classroom. The researcher attempted to analyze how students' colloquial discourse changed to a discourse that bears more resemblance to science discourse. The results of the empirical part of the investigation are presented in three parts: first, the gap between what students did and what they were supposed to do was reported. The gap showed that students during the classroom inquiry wanted to do simple comparisons by direct observation, while they were supposed to do tool-assisted observation and procedural manipulation for a complete comparison. Second, it was illustrated that the first attempt to connect the colloquial to science discourse was done by what was immediately intelligible for students and then the teacher negotiated with students in order to help them to connect the old to the new language-game more purposefully. The researcher suggested that these two events in the science classroom are critical in discourse change. Third, it was illustrated that through the academic year, the way that students did the act of comparison was improved and by the end of the year more accurate causal inferences were observable in classroom communication. At the end of the

  9. Learning to Learn in the European Reference Framework for Lifelong Learning

    ERIC Educational Resources Information Center

    Pirrie, Anne; Thoutenhoofd, Ernst D.

    2013-01-01

    This article explores the construction of learning to learn that is implicit in the document "Key Competences for Lifelong Learning--European Reference Framework" and related education policy from the European Commission. The authors argue that the hallmark of learning to learn is the development of a fluid sociality rather than the…

  10. Analyzing Learning in Professional Learning Communities: A Conceptual Framework

    ERIC Educational Resources Information Center

    Van Lare, Michelle D.; Brazer, S. David

    2013-01-01

    The purpose of this article is to build a conceptual framework that informs current understanding of how professional learning communities (PLCs) function in conjunction with organizational learning. The combination of sociocultural learning theories and organizational learning theories presents a more complete picture of PLC processes that has…

  11. E-learning process maturity level: a conceptual framework

    NASA Astrophysics Data System (ADS)

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

    2018-03-01

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

  12. An Instructional Design Framework to Improve Student Learning in a First-Year Engineering Class

    ERIC Educational Resources Information Center

    Yelamarthi, Kumar; Drake, Eron; Prewett, Matthew

    2016-01-01

    Increasingly, numerous universities have identified benefits of flipped learning environments and have been encouraging instructors to adapt such methodologies in their respective classrooms, at a time when departments are facing significant budget constraints. This article proposes an instructional design framework utilized to strategically…

  13. Adjusted Framework of M-Learning in Blended Learning System for Mathematics Study Field of Junior High School Level VII

    NASA Astrophysics Data System (ADS)

    Sugiyanta, Lipur; Sukardjo, Moch.

    2018-04-01

    The 2013 curriculum requires teachers to be more productive, creative, and innovative in encouraging students to be more independent by strengthening attitudes, skills and knowledge. Teachers are given the options to create lesson plan according to the environment and conditions of their students. At the junior level, Core Competence (KI) and Basic Competence (KD) have been completely designed. In addition, there had already guidebooks, both for teacher manuals (Master’s Books) and for learners (Student Books). The lesson plan and guidebooks which already exist are intended only for learning in the classroom/in-school. Many alternative classrooms and alternatives learning models opened up using educational technology. The advance of educational technology opened opportunity for combination of class interaction using mobile learning applications. Mobile learning has rapidly evolved in education for the last ten years and many initiatives have been conducted worldwide. However, few of these efforts have produced any lasting outcomes. It is evident that mobile education applications are complex and hence, will not become sustainable. Long-term sustainability remains a risk. Long-term sustainability usually was resulted from continuous adaptation to changing conditions [4]. Frameworks are therefore required to avoid sustainability pitfalls. The implementation should start from simple environment then gradually become complex through adaptation steps. Therefore, our paper developed the framework of mobile learning (m-learning) adaptation for grade 7th (junior high school). The environment setup was blended mobile learning (not full mobile learning) and emphasize on Algebra. The research is done by R&D method (research and development). Results of the framework includes requirements and adaptation steps. The adjusted m-learning framework is designed to be a guidance for teachers to adopt m-learning to support blended learning environments. During mock-up prototype, the

  14. A Framework for Developing Sustainable E-Learning Programmes

    ERIC Educational Resources Information Center

    Chipere, Ngoni

    2017-01-01

    A framework was created at the University of the West Indies to guide the development of 18 e-learning programmes. The framework is based on three principles for sustainable e-learning design: (1) stakeholder-centredness; (2) cost-effectiveness and (3) high operational efficiency. These principles give rise to nine framework elements: (1) a labour…

  15. A Framework to Support Mobile Learning in Multilingual Environments

    ERIC Educational Resources Information Center

    Jantjies, Mmaki E.; Joy, Mike

    2014-01-01

    This paper presents a multilingual mobile learning framework that can be used to support the pedagogical development of mobile learning systems which can support learning in under-resourced multilingual schools. The framework has been developed following two empirical mobile learning studies. Both studies were conducted in multilingual South…

  16. Application and Adaptation of an Institutional Learning Framework

    ERIC Educational Resources Information Center

    Foutz, Susan; Emmons, Claire Thoma

    2017-01-01

    The Children's Museum of Indianapolis has used a mission-aligned learning framework for more than a decade. Designed to foster and support adult-child interaction in exhibitions and programs, the central tool of the family learning framework is the Assessment of Learning Families in Exhibits (ALFIE) Inventory. ALFIE is used as a tool to plan for…

  17. Evaluation of Learning Materials: A Holistic Framework

    ERIC Educational Resources Information Center

    Bundsgaard, Jeppe; Hansen, Thomas Illum

    2011-01-01

    This paper presents a holistic framework for evaluating learning materials and designs for learning. A holistic evaluation comprises investigations of the potential learning potential, the actualised learning potential, and the actual learning. Each aspect is explained and exemplified through theoretical models and definitions. (Contains 3 figures…

  18. Diagnosing Student Learning Outcomes Using the Organizational Learning Contract Framework

    ERIC Educational Resources Information Center

    Sutton, Kyra Leigh; Ezell, Jeremy; Sankar, Chetan S.

    2013-01-01

    Using the Goodman and Beenen (2008) organizational learning contract framework as a diagnostic tool, this study investigates the effectiveness of an academic institution's learning environments by examining students' perception of their mastery of the institution's established curriculum learning goals. Students at a major Southeastern university…

  19. The New NGSS Classroom: A Curriculum Framework for Project-Based Science Learning

    ERIC Educational Resources Information Center

    Holthuis, Nicole; Deutscher, Rebecca; Schultz, Susan E.; Jamshidi, Arash

    2018-01-01

    As schools work to implement the Next Generation Science Standards (NGSS), a team at Stanford University found that project-based learning is an effective framework for engaging students. The team used project-based learning, group activities, and performance-based assessments to design an effective, engaging curriculum. Over a three-year period,…

  20. The ICCE Framework: Framing Learning Experiences Afforded by Games

    ERIC Educational Resources Information Center

    Foster, Aroutis; Shah, Mamta

    2015-01-01

    There is a need for game-based learning frameworks that provide a lens for understanding learning experiences afforded in digital games. These frameworks should aim to facilitate game analyses, identification of learning opportunities, and support for learner experiences. This article uses the inquiry, communication, construction, and expression…

  1. One lens missing? Clarifying the clinical microsystem framework with learning theories.

    PubMed

    Norman, Ann-Charlott; Fritzen, Lena; Fridh, Marianne Lindblad

    2013-01-01

    The clinical microsystem (CMS) approach is widely used and is perceived as helpful in practice but, we ask the question: "Is its learning potential sufficiently utilized?" To scrutinize aspects of learning within the CMS framework and to clarify the learning aspects the framework includes and thereby support the framework with the enhanced learning perspective that becomes visible. Literature on the CMS framework was systematically searched and selected using inclusion criteria. An analytical tool was constructed in the form of a theoretical lens that was used to clarify learning aspects that are associated with the framework. The analysis revealed 3 learning aspects: (1) The CMS framework describes individual and social learning but not how to adapt learning strategies for purposes of change. (2) The metaphorical language of how to reach a holistic health care system for each patient has developed over time but can still be improved by naming social interactions to transcend organizational boundaries. (3) Power structures are recognized but not as a characteristic that restricts learning due to asymmetric communication. The "lens" perspective reveals new meanings to learning that enhance our understanding of health care as a social system and provides new practical learning strategies.

  2. Are "Communications Frameworks" More Successful? Policy Learning from the Scottish Credit and Qualifications Framework

    ERIC Educational Resources Information Center

    Raffe, David

    2011-01-01

    The Scottish Credit and Qualifications Framework (SCQF) was formally launched in 2001. It is a comprehensive credit-based National Qualifications Framework (NQF) with twelve levels, intended to accommodate all qualifications and assessed learning in Scotland. It aims to support access to learning and to make the education and training system more…

  3. Building a Student-Centred Learning Framework Using Social Software in the Middle Years Classroom: An Action Research Study

    ERIC Educational Resources Information Center

    Casey, Gail

    2013-01-01

    This article discusses the development of the online spaces that were used to create a learning framework: a student-centred framework that combined face-to-face teaching with online social and participatory media. The author, as part of her Doctoral research study, used action research as a mechanism for continual improvement as she redesigned…

  4. Supporting new graduate professional development: a clinical learning framework.

    PubMed

    Fitzgerald, Cate; Moores, Alis; Coleman, Allison; Fleming, Jennifer

    2015-02-01

    New graduate occupational therapists are required to competently deliver health-care practices within complex care environments. An occupational therapy clinical education programme within a large public sector health service sought to investigate methods to support new graduates in their clinical learning and professional development. Three cycles of an insider action research approach each using the steps of planning, action, critical observation and reflection were undertaken to investigate new graduate learning strategies, develop a learning framework and pilot its utility. Qualitative research methods were used to analyse data gathered during the action research cycles. Action research identified variations in current practices to support new graduate learning and to the development of the Occupational Therapy Clinical Learning Framework (OTCLF). Investigation into the utility of the OTCLF revealed two themes associated with its implementation namely (i) contribution to learning goal development and (ii) compatibility with existing learning supports. The action research cycles aimed to review current practices to support new graduate learning. The learning framework developed encourages reflection to identify learning needs and the review, discussion of, and engagement in, goal setting and learning strategies. Preliminary evidence indicates that the OTCLF has potential as an approach to guide new graduate goal development supported by supervision. Future opportunity to implement a similar learning framework in other allied health professions was identified, enabling a continuation of the cyclical nature of enquiry, integral to this research approach within the workplace. © 2014 Occupational Therapy Australia.

  5. An Instructional Strategy Framework for Online Learning Environments

    ERIC Educational Resources Information Center

    Johnson, Scott D.; Aragon, Steven R.

    2003-01-01

    The rapid growth of Web-based instruction has raised many questions about the quality of online courses. This chapter presents a conceptual framework that can guide the development of online courses by providing a holistic perspective on online teaching and learning. Although this framework is based on well-recognized theories of learning and…

  6. First-Year Biology Students' Understandings of Meiosis: An Investigation Using a Structural Theoretical Framework

    ERIC Educational Resources Information Center

    Quinn, Frances; Pegg, John; Panizzon, Debra

    2009-01-01

    Meiosis is a biological concept that is both complex and important for students to learn. This study aims to explore first-year biology students' explanations of the process of meiosis, using an explicit theoretical framework provided by the Structure of the Observed Learning Outcome (SOLO) model. The research was based on responses of 334…

  7. Intercultural Historical Learning: A Conceptual Framework

    ERIC Educational Resources Information Center

    Nordgren, Kenneth; Johansson, Maria

    2015-01-01

    This paper outlines a conceptual framework in order to systematically discuss the meaning of intercultural learning in history education and how it could be advanced. We do so by bringing together theories of historical consciousness, intercultural competence and postcolonial thinking. By combining these theories into one framework, we identify…

  8. Teacher Responses to a Planning Framework for Junior Technology Classes Learning outside the Classroom

    ERIC Educational Resources Information Center

    Milne, Louise; Eames, Chris

    2011-01-01

    This paper describes teacher responses to a framework designed to support teacher planning for technology. It includes a learning experience outside the classroom [LEOTC] and is designed specifically for five-year-old students. The planning framework draws together characteristics of technology education, junior primary classrooms and LEOTC to…

  9. Invisible to Visible: Mapping the Continuum of Literacy Learning Experiences in an Early Years Setting

    ERIC Educational Resources Information Center

    Kervin, Lisa; Turbill, Jan; Harden-Thew, Kathryn

    2017-01-01

    The face of early childhood education continues to change. In Australia, the national early childhood guidelines, "Early Years Learning Framework" (2009) and the "National Quality Framework" have articulated and defined the work of early years' educators in a range of areas, including literacy. Both frameworks state that their…

  10. Framework for robot skill learning using reinforcement learning

    NASA Astrophysics Data System (ADS)

    Wei, Yingzi; Zhao, Mingyang

    2003-09-01

    Robot acquiring skill is a process similar to human skill learning. Reinforcement learning (RL) is an on-line actor critic method for a robot to develop its skill. The reinforcement function has become the critical component for its effect of evaluating the action and guiding the learning process. We present an augmented reward function that provides a new way for RL controller to incorporate prior knowledge and experience into the RL controller. Also, the difference form of augmented reward function is considered carefully. The additional reward beyond conventional reward will provide more heuristic information for RL. In this paper, we present a strategy for the task of complex skill learning. Automatic robot shaping policy is to dissolve the complex skill into a hierarchical learning process. The new form of value function is introduced to attain smooth motion switching swiftly. We present a formal, but practical, framework for robot skill learning and also illustrate with an example the utility of method for learning skilled robot control on line.

  11. Selectivity in associative learning: a cognitive stage framework for blocking and cue competition phenomena

    PubMed Central

    Boddez, Yannick; Haesen, Kim; Baeyens, Frank; Beckers, Tom

    2014-01-01

    Blocking is the most important phenomenon in the history of associative learning theory: for over 40 years, blocking has inspired a whole generation of learning models. Blocking is part of a family of effects that are typically termed “cue competition” effects. Common amongst all cue competition effects is that a cue-outcome relation is poorly learned or poorly expressed because the cue is trained in the presence of an alternative predictor or cause of the outcome. We provide an overview of the cognitive processes involved in cue competition effects in humans and propose a stage framework that brings these processes together. The framework contends that the behavioral display of cue competition is cognitively construed following three stages that include (1) an encoding stage, (2) a retention stage, and (3) a performance stage. We argue that the stage framework supports a comprehensive understanding of cue competition effects. PMID:25429280

  12. Inquiry-Based Learning: A Framework for Assessing Science in the Early Years

    ERIC Educational Resources Information Center

    Marian, Hazel; Jackson, Claire

    2017-01-01

    This article draws on current literature leading to the development of a holistic framework to support practitioners in observation and assessment of childrens evolving inquiry skills. Evidence from the 2011 Trends in International Maths and Science Study (TIMSS) in England identifies a decline of year five student achievement in science. A…

  13. A Framework for Credit. Framework Guidelines 2. Learning Outcomes, Units and Modules.

    ERIC Educational Resources Information Center

    Further Education Development Agency, London (England).

    This document refines and develops a 1992 proposal by Great Britain's Further Education Unit (FEU) that all kinds of student achievement be documented within a common framework involving the following procedures: describing adult learners' achievements in terms of learning outcomes; grouping the learning outcomes into coherent units; defining the…

  14. Early Learning Foundations. Indiana's Early Learning Development Framework Aligned to the Indiana Academic Standards, 2014

    ERIC Educational Resources Information Center

    Indiana Department of Education, 2015

    2015-01-01

    The "Foundations" (English/language arts, mathematics, social emotional skills, approaches to play and learning, science, social studies, creative arts, and physical health and growth) are Indiana's early learning development framework and are aligned to the 2014 Indiana Academic Standards. This framework provides core elements that…

  15. 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…

  16. A Framework for a Computer System to Support Distributed Cooperative Learning

    ERIC Educational Resources Information Center

    Chiu, Chiung-Hui

    2004-01-01

    To develop a computer system to support cooperative learning among distributed students; developers should consider the foundations of cooperative learning. This article examines the basic elements that make cooperation work and proposes a framework for such computer supported cooperative learning (CSCL) systems. This framework is constituted of…

  17. A Learning Framework for Development.

    ERIC Educational Resources Information Center

    Chi, Michelene T. H.; Rees, Ernest T.

    1983-01-01

    Responding to recent advances in developmental and cognitive science research on knowledge acquisition, this report presents a theoretical framework for analyzing cognitive development as a process of learning. The first section summarizes three developmental characteristics recognized in both the Piagetian and the quantita experimental tradition:…

  18. Proposing a Framework for Mobile Applications in Disaster Health Learning.

    PubMed

    Liu, Alexander G; Altman, Brian A; Schor, Kenneth; Strauss-Riggs, Kandra; Thomas, Tracy N; Sager, Catherine; Leander-Griffith, Michelle; Harp, Victoria

    2017-08-01

    Mobile applications, or apps, have gained widespread use with the advent of modern smartphone technologies. Previous research has been conducted in the use of mobile devices for learning. However, there is decidedly less research into the use of mobile apps for health learning (eg, patient self-monitoring, medical student learning). This deficiency in research on using apps in a learning context is especially severe in the disaster health field. The objectives of this article were to provide an overview of the current state of disaster health apps being used for learning, to situate the use of apps in a health learning context, and to adapt a learning framework for the use of mobile apps in the disaster health field. A systematic literature review was conducted by using the PRISMA checklist, and peer-reviewed articles found through the PubMed and CINAHL databases were examined. This resulted in 107 nonduplicative articles, which underwent a 3-phase review, culminating in a final selection of 17 articles. While several learning models were identified, none were sufficient as an app learning framework for the field. Therefore, we propose a learning framework to inform the use of mobile apps in disaster health learning. (Disaster Med Public Health Preparedness. 2017;11:487-495).

  19. Modelling Diffusion of a Personalized Learning Framework

    ERIC Educational Resources Information Center

    Karmeshu; Raman, Raghu; Nedungadi, Prema

    2012-01-01

    A new modelling approach for diffusion of personalized learning as an educational process innovation in social group comprising adopter-teachers is proposed. An empirical analysis regarding the perception of 261 adopter-teachers from 18 schools in India about a particular personalized learning framework has been made. Based on this analysis,…

  20. Adventure Learning and Learner-Engagement: Frameworks for Designers and Educators

    ERIC Educational Resources Information Center

    Henrickson, Jeni; Doering, Aaron

    2013-01-01

    There is a recognized need for theoretical frameworks that can guide designers and educators in the development of engagement-rich learning experiences that incorporate emerging technologies in pedagogically sound ways. This study investigated one such promising framework, adventure learning (AL). Data were gathered via surveys, interviews, direct…

  1. A memory learning framework for effective image retrieval.

    PubMed

    Han, Junwei; Ngan, King N; Li, Mingjing; Zhang, Hong-Jiang

    2005-04-01

    Most current content-based image retrieval systems are still incapable of providing users with their desired results. The major difficulty lies in the gap between low-level image features and high-level image semantics. To address the problem, this study reports a framework for effective image retrieval by employing a novel idea of memory learning. It forms a knowledge memory model to store the semantic information by simply accumulating user-provided interactions. A learning strategy is then applied to predict the semantic relationships among images according to the memorized knowledge. Image queries are finally performed based on a seamless combination of low-level features and learned semantics. One important advantage of our framework is its ability to efficiently annotate images and also propagate the keyword annotation from the labeled images to unlabeled images. The presented algorithm has been integrated into a practical image retrieval system. Experiments on a collection of 10,000 general-purpose images demonstrate the effectiveness of the proposed framework.

  2. Conceptual Frameworks in Didactics--Learning and Teaching: Trends, Evolutions and Comparative Challenges

    ERIC Educational Resources Information Center

    Ligozat, Florence; Almqvist, Jonas

    2018-01-01

    This special issue of the "European Educational Research Journal" presents a series of research papers reflecting the trends and evolutions in conceptual frameworks that took place within the EERA 27 "Didactics--Learning and Teaching" network during its first ten years of existence. Most conceptual tools used in this field were…

  3. An Ontology-Based Framework for Bridging Learning Design and Learning Content

    ERIC Educational Resources Information Center

    Knight, Colin, Gasevic, Dragan; Richards, Griff

    2006-01-01

    The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and developed tools for both of those subjects, but without detailed discussions of how they can be used together. In this paper we advocate the use of ontologies to explicitly…

  4. Learning Physical Domains: Toward a Theoretical Framework.

    ERIC Educational Resources Information Center

    Forbus, Kenneth D.; Gentner, Dedre

    People use and extend their knowledge of the physical world constantly. Understanding how this fluency is achieved would be an important milestone in understanding human learning and intelligence, as well as a useful guide for constructing machines that learn. This paper presents a theoretical framework that is being developed in an attempt to…

  5. Modeling Geomagnetic Variations using a Machine Learning Framework

    NASA Astrophysics Data System (ADS)

    Cheung, C. M. M.; Handmer, C.; Kosar, B.; Gerules, G.; Poduval, B.; Mackintosh, G.; Munoz-Jaramillo, A.; Bobra, M.; Hernandez, T.; McGranaghan, R. M.

    2017-12-01

    We present a framework for data-driven modeling of Heliophysics time series data. The Solar Terrestrial Interaction Neural net Generator (STING) is an open source python module built on top of state-of-the-art statistical learning frameworks (traditional machine learning methods as well as deep learning). To showcase the capability of STING, we deploy it for the problem of predicting the temporal variation of geomagnetic fields. The data used includes solar wind measurements from the OMNI database and geomagnetic field data taken by magnetometers at US Geological Survey observatories. We examine the predictive capability of different machine learning techniques (recurrent neural networks, support vector machines) for a range of forecasting times (minutes to 12 hours). STING is designed to be extensible to other types of data. We show how STING can be used on large sets of data from different sensors/observatories and adapted to tackle other problems in Heliophysics.

  6. ENGAGE: A Game Based Learning and Problem Solving Framework

    DTIC Science & Technology

    2012-07-13

    Gamification Summit 2012  Mensa Colloquium 2012.2: Social and Video Games  Seattle Science Festival  TED Salon Vancouver : http...From - To) 6/1/2012 – 6/30/2012 4. TITLE AND SUBTITLE ENGAGE: A Game Based Learning and Problem Solving Framework 5a. CONTRACT NUMBER N/A 5b...Popović ENGAGE: A Game Based Learning and Problem Solving Framework (Task 1 Month 4) Progress, Status and Management Report Monthly Progress

  7. The 4C framework for making reasonable adjustments for people with learning disabilities.

    PubMed

    Marsden, Daniel; Giles, Rachel

    2017-01-18

    Background People with learning disabilities experience significant inequalities in accessing healthcare. Legal frameworks, such as the Equality Act 2010, are intended to reduce such disparities in care, and require organisations to make 'reasonable adjustments' for people with disabilities, including learning disabilities. However, reasonable adjustments are often not clearly defined or adequately implemented in clinical practice. Aim To examine and synthesise the challenges in caring for people with learning disabilities to develop a framework for making reasonable adjustments for people with learning disabilities in hospital. This framework would assist ward staff in identifying and managing the challenges of delivering person-centred, safe and effective healthcare to people with learning disabilities in this setting. Method Fourth-generation evaluation, collaborative thematic analysis, reflection and a secondary analysis were used to develop a framework for making reasonable adjustments in the hospital setting. The authors attended ward manager and matron group meetings to collect their claims, concerns and issues, then conducted a collaborative thematic analysis with the group members to identify the main themes. Findings Four main themes were identified from the ward manager and matron group meetings: communication, choice-making, collaboration and coordination. These were used to develop the 4C framework for making reasonable adjustments for people with learning disabilities in hospital. Discussion The 4C framework has provided a basis for delivering person-centred care for people with learning disabilities. It has been used to inform training needs analyses, develop audit tools to review delivery of care that is adjusted appropriately to the individual patient; and to develop competencies for learning disability champions. The most significant benefit of the 4C framework has been in helping to evaluate and resolve practice-based scenarios. Conclusion Use of

  8. An Analytic Framework to Support E.Learning Strategy Development

    ERIC Educational Resources Information Center

    Marshall, Stephen J.

    2012-01-01

    Purpose: The purpose of this paper is to discuss and demonstrate the relevance of a new conceptual framework for leading and managing the development of learning and teaching to e.learning strategy development. Design/methodology/approach: After reviewing and discussing the research literature on e.learning in higher education institutions from…

  9. A Framework for the Integration of DVD Technology in Geography Teaching and Learning

    ERIC Educational Resources Information Center

    Van der Westhuizen, Christo P.; Richter, Barry W.; Nel, Carisma

    2010-01-01

    This article discusses the results when integrating digital versatile disc (DVD) technology in full-time second-year geography for BEd degree students at a university in South Africa, a developing country. It proposes a framework for the integration of the DVD in geography teaching and learning, steered by students' needs, feedback and…

  10. Consultation: Professional Learning Framework for the Teaching Profession.

    ERIC Educational Resources Information Center

    Ontario College of Teachers, Toronto.

    This publication describes the professional learning framework for teaching that was developed by the Ontario College of Teachers, a self-regulatory body for the teaching profession in Ontario. The Ontario College of Teachers has a mandate, in legislation, to identify and accredit professional learning programs that support standards of practice…

  11. A Framework for Open, Flexible and Distributed Learning.

    ERIC Educational Resources Information Center

    Khan, Badrul H.

    Designing open, flexible distance learning systems on the World Wide Web requires thoughtful analysis and investigation combined with an understanding of both the Web's attributes and resources and the ways instructional design principles can be applied to tap the Web's potential. A framework for open, flexible, and distributed learning has been…

  12. Merging Problem-Based Learning with Simulation-Based Learning in the Medical Undergraduate Curriculum: The PAIRED Framework for Enhancing Lifelong Learning

    PubMed Central

    Koh, Jansen

    2016-01-01

    Lifelong learning is an essential trait that is expected of every physician. The CanMeds 2005 Physician Competency Framework emphasizes lifelong learning as a key competency that physicians must achieve in becoming better physicians. However, many physicians are not competent at engaging in lifelong learning. The current medical education system is deficient in preparing medical students to develop and carry out their own lifelong learning curriculum upon graduation. Despite understanding how physicians learn at work, medical students are not trained to learn while working. Similarly, although barriers to lifelong learning are known, medical students are not adequately skilled in overcoming these barriers. Learning to learn is just as important, if not more, as acquiring the skills and knowledge required of a physician. The medical undergraduate curriculum lacks a specific learning strategy to prepare medical students in becoming an adept lifelong learner. In this article, we propose a learning strategy for lifelong learning at the undergraduate level. In developing this novel strategy, we paid particular attention to two parameters. First, this strategy should be grounded on literature describing a physician’s lifelong learning process. Second, the framework for implementing this strategy must be based on existing undergraduate learning strategies to obviate the need for additional resources, learner burden, and faculty time. In this paper, we propose a Problem, Analysis, Independent Research Reporting, Experimentation Debriefing (PAIRED) framework that follows the learning process of a physician and serves to synergize the components of problem-based learning and simulation-based learning in specifically targeting the barriers to lifelong learning. PMID:27446767

  13. A Learning Framework for Knowledge Building and Collective Wisdom Advancement in Virtual Learning Communities

    ERIC Educational Resources Information Center

    Gan, Yongcheng; Zhu, Zhiting

    2007-01-01

    This study represents an effort to construct a learning framework for knowledge building and collective wisdom advancement in a virtual learning community (VLC) from the perspectives of system wholeness, intelligence wholeness and dynamics, learning models, and knowledge management. It also tries to construct the zone of proximal development (ZPD)…

  14. The SAMR Model as a Framework for Evaluating mLearning

    ERIC Educational Resources Information Center

    Romrell, Danae; Kidder, Lisa C.; Wood, Emma

    2014-01-01

    As mobile devices become more prominent in the lives of students, the use of mobile devices has the potential to transform learning. Mobile learning, or mLearning, is defined as learning that is personalized, situated, and connected through the use of a mobile device. As mLearning activities are developed, there is a need for a framework within…

  15. A Security Framework for Online Distance Learning and Training.

    ERIC Educational Resources Information Center

    Furnell, S. M.; Onions, P. D.; Bleimann, U.; Gojny, U.; Knahl, M.; Roder, H. F.; Sanders, P. W.

    1998-01-01

    Presents a generic reference model for online distance learning and discusses security issues for each stage (enrollment, study, completion, termination, suspension). Discusses a security framework (authentication and accountability, access control, intrusion detection, network communications, nonrepudiation, learning resources provider…

  16. Is "Learning without Limits" a Framework of Values?

    ERIC Educational Resources Information Center

    Booth, Tony

    2015-01-01

    In this article the author connects his own work with Brian Simon's writing on IQ (intelligence quotient) testing and selection and with the Learning without Limits project. He discusses the significance he gives to a values framework in the development of education and asks whether "Learning without Limits," in part, stands for a…

  17. Expanding the frontiers of national qualifications frameworks through lifelong learning

    NASA Astrophysics Data System (ADS)

    Owusu-Agyeman, Yaw

    2017-10-01

    The adoption of a national qualifications framework (NQF) by some governments in all world regions has shown some success in the area of formal learning. However, while NQFs continue to enhance formal learning in many countries, the same cannot be said for the recognition, validation and accreditation (RVA) of non-formal and informal learning. Focusing on competency-based technical and vocational education and training (TVET) within its NQF, Ghana introduced the National Technical and Vocational Education and Training Qualifications Framework (NTVETQF) as a sub-framework in 2012. In the wake of the NTVETQF's limited success, the author of this article reasons that a lifelong learning approach could enhance its effectiveness considerably. Comparing national and international policies, he argues that the NTVETQF should be able to properly address the issues of progression from informal and non-formal to formal modes of lifelong learning within the country's broad context of education. In addition, the study conceptualises the integration of lifelong learning within a broad NQF in four key domains: (1) individual; (2) institutional; (3) industry; and (4) state. The author concludes that, for the NTVETQF to achieve its goal of facilitating access to further education and training while also promoting lifelong learning for all (including workers in the informal economy), effective integration of all modes of lifelong learning is required. Although this entails some challenges, such as recognition of prior learning and validation of all modes of learning, it will help to widen access to education as well as providing individuals with a pathway for achieving their educational aspirations.

  18. Visual Hybrid Development Learning System (VHDLS) framework for children with autism.

    PubMed

    Banire, Bilikis; Jomhari, Nazean; Ahmad, Rodina

    2015-10-01

    The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid Development Learning System (VHDLS) framework that is based on an instructional design model, multimedia cognitive learning theory, and learning style in order to guide software developers in developing learning systems for children with autism. The results from this study showed that the attention of children with autism increased more with the proposed VHDLS framework.

  19. PESTE Factors in Developing a Framework for E-Learning

    ERIC Educational Resources Information Center

    Graham, Deryn

    2007-01-01

    This article describes the development of a framework for e-learning and presents the findings of a study investigating whether the use of blended learning can fulfil or at least accommodate some of the human requirements presently neglected by current e-learning systems. The study evaluated the in-house system, Teachmat, and discussed how the use…

  20. The extraction and integration framework: a two-process account of statistical learning.

    PubMed

    Thiessen, Erik D; Kronstein, Alexandra T; Hufnagle, Daniel G

    2013-07-01

    The term statistical learning in infancy research originally referred to sensitivity to transitional probabilities. Subsequent research has demonstrated that statistical learning contributes to infant development in a wide array of domains. The range of statistical learning phenomena necessitates a broader view of the processes underlying statistical learning. Learners are sensitive to a much wider range of statistical information than the conditional relations indexed by transitional probabilities, including distributional and cue-based statistics. We propose a novel framework that unifies learning about all of these kinds of statistical structure. From our perspective, learning about conditional relations outputs discrete representations (such as words). Integration across these discrete representations yields sensitivity to cues and distributional information. To achieve sensitivity to all of these kinds of statistical structure, our framework combines processes that extract segments of the input with processes that compare across these extracted items. In this framework, the items extracted from the input serve as exemplars in long-term memory. The similarity structure of those exemplars in long-term memory leads to the discovery of cues and categorical structure, which guides subsequent extraction. The extraction and integration framework provides a way to explain sensitivity to both conditional statistical structure (such as transitional probabilities) and distributional statistical structure (such as item frequency and variability), and also a framework for thinking about how these different aspects of statistical learning influence each other. 2013 APA, all rights reserved

  1. The Adolescent Community of Engagement: A Framework for Research on Adolescent Online Learning

    ERIC Educational Resources Information Center

    Borup, Jered; West, Richard E.; Graham, Charles R.; Davies, Randall S.

    2014-01-01

    This paper describes the Adolescent Community of Engagement (ACE) framework as a lens to guide research and design in adolescent online learning environments. Several online learning frameworks have emerged from higher education contexts, but these frameworks do not explicitly address the unique student and environmental characteristics of the…

  2. A Conceptual Framework for Evolving, Recommender Online Learning Systems

    ERIC Educational Resources Information Center

    Peiris, K. Dharini Amitha; Gallupe, R. Brent

    2012-01-01

    A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems…

  3. Grade Expectations for Vermont's Framework of Standards and Learning Opportunities, Summer 2004 (Arts)

    ERIC Educational Resources Information Center

    Vermont Department of Education, 2004

    2004-01-01

    In the fall of 1996, the State Board of Education adopted Vermont's Framework of Standards and Learning Opportunities. Over the years, the aim has been to make the standards more useful as guides to curriculum development. In 2000, the standards were formally revised and again adopted by the State Board. In 2004, another chapter in the standards,…

  4. 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…

  5. Developing and Implementing a Framework of Participatory Simulation for Mobile Learning Using Scaffolding

    ERIC Educational Resources Information Center

    Yin, Chengjiu; Song, Yanjie; Tabata, Yoshiyuki; Ogata, Hiroaki; Hwang, Gwo-Jen

    2013-01-01

    This paper proposes a conceptual framework, scaffolding participatory simulation for mobile learning (SPSML), used on mobile devices for helping students learn conceptual knowledge in the classroom. As the pedagogical design, the framework adopts an experiential learning model, which consists of five sequential but cyclic steps: the initial stage,…

  6. Design Framework for an Adaptive MOOC Enhanced by Blended Learning: Supplementary Training and Personalized Learning for Teacher Professional Development

    ERIC Educational Resources Information Center

    Gynther, Karsten

    2016-01-01

    The research project has developed a design framework for an adaptive MOOC that complements the MOOC format with blended learning. The design framework consists of a design model and a series of learning design principles which can be used to design in-service courses for teacher professional development. The framework has been evaluated by…

  7. The Cognitive Foundations of Learning To Read: A Framework.

    ERIC Educational Resources Information Center

    Wren, Sebastian

    Southwest Educational Research Laboratory's (SEDL's) reading project examines early literacy in Grades K-2 and the prevention of early reading failure. The goals of this effort include the following: developing a framework of the cognitive foundations of learning to read that organizes research information; using that framework to organize…

  8. A Framework and a Methodology for Developing Authentic Constructivist e-Learning Environments

    ERIC Educational Resources Information Center

    Zualkernan, Imran A.

    2006-01-01

    Semantically rich domains require operative knowledge to solve complex problems in real-world settings. These domains provide an ideal environment for developing authentic constructivist e-learning environments. In this paper we present a framework and a methodology for developing authentic learning environments for such domains. The framework is…

  9. Grounding theories of W(e)Learn: a framework for online interprofessional education.

    PubMed

    Casimiro, Lynn; MacDonald, Colla J; Thompson, Terrie Lynn; Stodel, Emma J

    2009-07-01

    Interprofessional care (IPC) is a prerequisite for enhanced communication between healthcare team members, improved quality of care, and better outcomes for patients. A move to an IPC model requires changing the learning experiences of healthcare providers during and after their qualification program. With the rapid growth of online and blended approaches to learning, an educational framework that explains how to construct quality learning events to provide IPC is pressing. Such a framework would offer a quality standard to help educators design, develop, deliver, and evaluate online interprofessional education (IPE) programs. IPE is an extremely delicate process due to issues related to knowledge, status, power, accountability, personality traits, and culture that surround IPC. In this paper, a review of the pertinent literature that would inform the development of such a framework is presented. The review covers IPC, IPE, learning theories, and eLearning in healthcare.

  10. Overcoming complexities: Damage detection using dictionary learning framework

    NASA Astrophysics Data System (ADS)

    Alguri, K. Supreet; Melville, Joseph; Deemer, Chris; Harley, Joel B.

    2018-04-01

    For in situ damage detection, guided wave structural health monitoring systems have been widely researched due to their ability to evaluate large areas and their ability detect many types of damage. These systems often evaluate structural health by recording initial baseline measurements from a pristine (i.e., undamaged) test structure and then comparing later measurements with that baseline. Yet, it is not always feasible to have a pristine baseline. As an alternative, substituting the baseline with data from a surrogate (nearly identical and pristine) structure is a logical option. While effective in some circumstance, surrogate data is often still a poor substitute for pristine baseline measurements due to minor differences between the structures. To overcome this challenge, we present a dictionary learning framework to adapt surrogate baseline data to better represent an undamaged test structure. We compare the performance of our framework with two other surrogate-based damage detection strategies: (1) using raw surrogate data for comparison and (2) using sparse wavenumber analysis, a precursor to our framework for improving the surrogate data. We apply our framework to guided wave data from two 108 mm by 108 mm aluminum plates. With 20 measurements, we show that our dictionary learning framework achieves a 98% accuracy, raw surrogate data achieves a 92% accuracy, and sparse wavenumber analysis achieves a 57% accuracy.

  11. A Conceptual Framework for Educational Design at Modular Level to Promote Transfer of Learning

    ERIC Educational Resources Information Center

    Botma, Yvonne; Van Rensburg, G. H.; Coetzee, I. M.; Heyns, T.

    2015-01-01

    Students bridge the theory-practice gap when they apply in practice what they have learned in class. A conceptual framework was developed that can serve as foundation to design for learning transfer at modular level. The framework is based on an adopted and adapted systemic model of transfer of learning, existing learning theories, constructive…

  12. The CABES (Clare Adult Basic Education Service) Framework as a Tool for Teaching and Learning

    ERIC Educational Resources Information Center

    Greene, Moira

    2015-01-01

    This article describes a Framework that can be used to help bridge the gap between theory and practice in adult learning. The Framework promotes practice informed by three strands important to adult literacy work: social theories of literacy, social-constructivist learning theory and principles of adult learning. The Framework shows how five key…

  13. The knowledge-learning-instruction framework: bridging the science-practice chasm to enhance robust student learning.

    PubMed

    Koedinger, Kenneth R; Corbett, Albert T; Perfetti, Charles

    2012-07-01

    Despite the accumulation of substantial cognitive science research relevant to education, there remains confusion and controversy in the application of research to educational practice. In support of a more systematic approach, we describe the Knowledge-Learning-Instruction (KLI) framework. KLI promotes the emergence of instructional principles of high potential for generality, while explicitly identifying constraints of and opportunities for detailed analysis of the knowledge students may acquire in courses. Drawing on research across domains of science, math, and language learning, we illustrate the analyses of knowledge, learning, and instructional events that the KLI framework affords. We present a set of three coordinated taxonomies of knowledge, learning, and instruction. For example, we identify three broad classes of learning events (LEs): (a) memory and fluency processes, (b) induction and refinement processes, and (c) understanding and sense-making processes, and we show how these can lead to different knowledge changes and constraints on optimal instructional choices. Copyright © 2012 Cognitive Science Society, Inc.

  14. Teaching and Learning Numerical Analysis and Optimization: A Didactic Framework and Applications of Inquiry-Based Learning

    ERIC Educational Resources Information Center

    Lappas, Pantelis Z.; Kritikos, Manolis N.

    2018-01-01

    The main objective of this paper is to propose a didactic framework for teaching Applied Mathematics in higher education. After describing the structure of the framework, several applications of inquiry-based learning in teaching numerical analysis and optimization are provided to illustrate the potential of the proposed framework. The framework…

  15. A Hierarchical Learning Control Framework for an Aerial Manipulation System

    NASA Astrophysics Data System (ADS)

    Ma, Le; Chi, yanxun; Li, Jiapeng; Li, Zhongsheng; Ding, Yalei; Liu, Lixing

    2017-07-01

    A hierarchical learning control framework for an aerial manipulation system is proposed. Firstly, the mechanical design of aerial manipulation system is introduced and analyzed, and the kinematics and the dynamics based on Newton-Euler equation are modeled. Secondly, the framework of hierarchical learning for this system is presented, in which flight platform and manipulator are controlled by different controller respectively. The RBF (Radial Basis Function) neural networks are employed to estimate parameters and control. The Simulation and experiment demonstrate that the methods proposed effective and advanced.

  16. Games and Simulations in Online Learning: Research and Development Frameworks

    ERIC Educational Resources Information Center

    Gibson, David; Aldrich, Clark; Prensky, Marc

    2007-01-01

    Games and Simulations in Online Learning: Research and Development Frameworks examines the potential of games and simulations in online learning, and how the future could look as developers learn to use the emerging capabilities of the Semantic Web. It presents a general understanding of how the Semantic Web will impact education and how games and…

  17. A Machine Learning Framework for Plan Payment Risk Adjustment.

    PubMed

    Rose, Sherri

    2016-12-01

    To introduce cross-validation and a nonparametric machine learning framework for plan payment risk adjustment and then assess whether they have the potential to improve risk adjustment. 2011-2012 Truven MarketScan database. We compare the performance of multiple statistical approaches within a broad machine learning framework for estimation of risk adjustment formulas. Total annual expenditure was predicted using age, sex, geography, inpatient diagnoses, and hierarchical condition category variables. The methods included regression, penalized regression, decision trees, neural networks, and an ensemble super learner, all in concert with screening algorithms that reduce the set of variables considered. The performance of these methods was compared based on cross-validated R 2 . Our results indicate that a simplified risk adjustment formula selected via this nonparametric framework maintains much of the efficiency of a traditional larger formula. The ensemble approach also outperformed classical regression and all other algorithms studied. The implementation of cross-validated machine learning techniques provides novel insight into risk adjustment estimation, possibly allowing for a simplified formula, thereby reducing incentives for increased coding intensity as well as the ability of insurers to "game" the system with aggressive diagnostic upcoding. © Health Research and Educational Trust.

  18. An Organizational Learning Framework for Patient Safety.

    PubMed

    Edwards, Marc T

    Despite concerted effort to improve quality and safety, high reliability remains a distant goal. Although this likely reflects the challenge of organizational change, persistent controversy over basic issues suggests that weaknesses in conceptual models may contribute. The essence of operational improvement is organizational learning. This article presents a framework for identifying leverage points for improvement based on organizational learning theory and applies it to an analysis of current practice and controversy. Organizations learn from others, from defects, from measurement, and from mindfulness. These learning modes correspond with contemporary themes of collaboration, no blame for human error, accountability for performance, and managing the unexpected. The collaborative model has dominated improvement efforts. Greater attention to the underdeveloped modes of organizational learning may foster more rapid progress in patient safety by increasing organizational capabilities, strengthening a culture of safety, and fixing more of the process problems that contribute to patient harm.

  19. Implementing Peer Learning in Clinical Education: A Framework to Address Challenges In the "Real World".

    PubMed

    Tai, Joanna Hong Meng; Canny, Benedict J; Haines, Terry P; Molloy, Elizabeth K

    2017-01-01

    Phenomenon: Peer learning has many benefits and can assist students in gaining the educational skills required in future years when they become teachers themselves. Peer learning may be particularly useful in clinical learning environments, where students report feeling marginalized, overwhelmed, and unsupported. Educational interventions often fail in the workplace environment, as they are often conceived in the "ideal" rather than the complex, messy real world. This work sought to explore barriers and facilitators to implementing peer learning activities in a clinical curriculum. Previous peer learning research results and a matrix of empirically derived peer learning activities were presented to local clinical education experts to generate discussion around the realities of implementing such activities. Potential barriers and limitations of and strategies for implementing peer learning in clinical education were the focus of the individual interviews. Thematic analysis of the data identified three key considerations for real-world implementation of peer learning: culture, epistemic authority, and the primacy of patient-centered care. Strategies for peer learning implementation were also developed from themes within the data, focusing on developing a culture of safety in which peer learning could be undertaken, engaging both educators and students, and establishing expectations for the use of peer learning. Insights: This study identified considerations and strategies for the implementation of peer learning activities, which took into account both educator and student roles. Reported challenges were reflective of those identified within the literature. The resultant framework may aid others in anticipating implementation challenges. Further work is required to test the framework's application in other contexts and its effect on learner outcomes.

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

    PubMed

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

    2013-06-01

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

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

    PubMed Central

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

    2013-01-01

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

  2. An analytical quality framework for learning cities and regions

    NASA Astrophysics Data System (ADS)

    Preisinger-Kleine, Randolph

    2013-09-01

    There is broad agreement that innovation, knowledge and learning have become the main source of wealth, employment and economic development of cities, regions and nations. Over the past two decades, the number of European cities and regions which label themselves as "learning city" or "learning region" has constantly grown. However, there are also pitfalls and constraints which not only hinder them in unlocking their full potential, but also significantly narrow their effects and their wider impact on society. Most prominently, learning cities and regions manifest serious difficulties in rendering transparent the surplus value they generate, which is vital for attracting investment into lifelong learning. While evaluation and quality management are still perceived as being a bureaucratic necessity rather than a lesson one could learn from or an investment in the future, it is also true that without evaluation and quality assurance local networks do not have the means to examine their strengths and weaknesses. In order to design strategies to maximise the strengths and effectively address the weaknesses it is necessary to understand the factors that contribute to success and those that pose challenges. This article proposes an analytical quality framework which is generic and can be used to promote a culture of quality in learning cities and regions. The proposed framework builds on the findings and results of the R3L+ project, part-funded by the European Commission under the Grundtvig (adult education) strand of the Lifelong Learning programme 2007-2013.

  3. CReaTE Excellence: Using a Teacher Framework to Maximize STEM Learning with Your Child

    ERIC Educational Resources Information Center

    Tassell, Janet; Maxwell, Margaret; Stobaugh, Rebecca

    2013-01-01

    Gifted children crave meaning through learning experiences, and they are naturally inquisitive. This article provides a teaching framework that parents can adapt for use with gifted children to help facilitate STEM knowledge and skills. The CReaTE Framework, adapted from an evolving lesson plan framework, can promote learning in a nontraditional,…

  4. Beyond Effectiveness: A Pragmatic Evaluation Framework for Learning and Continuous Quality Improvement of e-Learning Interventions in Healthcare.

    PubMed

    Dafalla, Tarig Dafalla Mohamed; Kushniruk, Andre W; Borycki, Elizabeth M

    2015-01-01

    A pragmatic evaluation framework for evaluating the usability and usefulness of an e-learning intervention for a patient clinical information scheduling system is presented in this paper. The framework was conceptualized based on two different but related concepts (usability and usefulness) and selection of appropriate and valid methods of data collection and analysis that included: (1) Low-Cost Rapid Usability Engineering (LCRUE), (2) Cognitive Task Analysis (CTA), (3) Heuristic Evaluation (HE) criteria for web-based learning, and (4) Software Usability Measurement Inventory (SUMI). The results of the analysis showed some areas where usability that were related to General Interface Usability (GIU), instructional design and content was problematic; some of which might account for the poorly rated aspects of usability when subjectively measured. This paper shows that using a pragmatic framework can be a useful way, not only for measuring the usability and usefulness, but also for providing a practical objective evidences for learning and continuous quality improvement of e-learning systems. The findings should be of interest to educators, developers, designers, researchers, and usability practitioners involved in the development of e-learning systems in healthcare. This framework could be an appropriate method for assessing the usability, usefulness and safety of health information systems both in the laboratory and in the clinical context.

  5. A Conceptual Framework for Mentoring in a Learning Organization

    ERIC Educational Resources Information Center

    Klinge, Carolyn M.

    2015-01-01

    The purpose of this article is to provide a conceptual framework for mentoring as an added component of a learning organization in the context of adult learning and development theories. Mentoring is traditionally a process in which an experienced person (the mentor) guides another person (the mentee or protégé) in the development of her or his…

  6. A Quality Framework for Continuous Improvement of e-Learning: The e-Learning Maturity Model

    ERIC Educational Resources Information Center

    Marshall, Stephen

    2010-01-01

    The E-Learning Maturity Model (eMM) is a quality improvement framework designed to help institutional leaders assess their institution's e-learning maturity. This paper reviews the eMM, drawing on examples of assessments conducted in New Zealand, Australia, the UK and the USA to show how it helps institutional leaders assess and compare their…

  7. An Evaluation Quality Framework for Analysing School-Based Learning (SBL) to Work-Based Learning (WBL) Transition Module

    NASA Astrophysics Data System (ADS)

    Alseddiqi, M.; Mishra, R.; Pislaru, C.

    2012-05-01

    The paper presents the results from a quality framework to measure the effectiveness of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Technical and Vocational Education (TVE) system in Bahrain. The framework is an extended version of existing information quality frameworks with respect to pedagogical and technological contexts. It incorporates specific pedagogical and technological dimensions as per the Bahrain modern industry requirements. Users' views questionnaire on the effectiveness of the new transition module was distributed to various stakeholders including TVE teachers and students. The aim was to receive critical information in diagnosing, monitoring and evaluating different views and perceptions about the effectiveness of the new module. The analysis categorised the quality dimensions by their relative importance. This was carried out using the principal component analysis available in SPSS. The analysis clearly identified the most important quality dimensions integrated in the new module for SBL-to-WBL transition. It was also apparent that the new module contains workplace proficiencies, prepares TVE students for work placement, provides effective teaching and learning methodologies, integrates innovative technology in the process of learning, meets modern industrial needs, and presents a cooperative learning environment for TVE students. From the principal component analysis finding, to calculate the percentage of relative importance of each factor and its quality dimensions, was significant. The percentage comparison would justify the most important factor as well as the most important quality dimensions. Also, the new, re-arranged quality dimensions from the finding with an extended number of factors tended to improve the extended version of the quality information framework to a revised quality framework.

  8. A Data Protection Framework for Learning Analytics

    ERIC Educational Resources Information Center

    Cormack, Andrew

    2016-01-01

    Most studies on the use of digital student data adopt an ethical framework derived from human-subject research, based on the informed consent of the experimental subject. However, consent gives universities little guidance on using learning analytics as a routine part of educational provision: which purposes are legitimate and which analyses…

  9. A DBR Framework for Designing Mobile Virtual Reality Learning Environments

    ERIC Educational Resources Information Center

    Cochrane, Thomas Donald; Cook, Stuart; Aiello, Stephen; Christie, Duncan; Sinfield, David; Steagall, Marcus; Aguayo, Claudio

    2017-01-01

    This paper proposes a design based research (DBR) framework for designing mobile virtual reality learning environments. The application of the framework is illustrated by two design-based research projects that aim to develop more authentic educational experiences and learner-centred pedagogies in higher education. The projects highlight the first…

  10. Orchestration in Learning Technology Research: Evaluation of a Conceptual Framework

    ERIC Educational Resources Information Center

    Prieto, Luis P.; Dimitriadis, Yannis; Asensio-Pérez, Juan I.; Looi, Chee-Kit

    2015-01-01

    The term "orchestrating learning" is being used increasingly often, referring to the coordination activities performed while applying learning technologies to authentic settings. However, there is little consensus about how this notion should be conceptualised, and what aspects it entails. In this paper, a conceptual framework for…

  11. A Framework of Metacognitive Scaffolding in Learning Authoring System through Facebook

    ERIC Educational Resources Information Center

    Jumaat, Nurul Farhana; Tasir, Zaidatun

    2016-01-01

    Scaffolding refers to a guidance that helps students during their learning sessions whereby it makes learning easier for them. This study aims to develop a framework of metacognitive scaffolding (MS) to guide students in learning Authoring System through Facebook. Thirty-seven master degree students who were enrolled in Authoring System course…

  12. Dynamically analyzing cell interactions in biological environments using multiagent social learning framework.

    PubMed

    Zhang, Chengwei; Li, Xiaohong; Li, Shuxin; Feng, Zhiyong

    2017-09-20

    Biological environment is uncertain and its dynamic is similar to the multiagent environment, thus the research results of the multiagent system area can provide valuable insights to the understanding of biology and are of great significance for the study of biology. Learning in a multiagent environment is highly dynamic since the environment is not stationary anymore and each agent's behavior changes adaptively in response to other coexisting learners, and vice versa. The dynamics becomes more unpredictable when we move from fixed-agent interaction environments to multiagent social learning framework. Analytical understanding of the underlying dynamics is important and challenging. In this work, we present a social learning framework with homogeneous learners (e.g., Policy Hill Climbing (PHC) learners), and model the behavior of players in the social learning framework as a hybrid dynamical system. By analyzing the dynamical system, we obtain some conditions about convergence or non-convergence. We experimentally verify the predictive power of our model using a number of representative games. Experimental results confirm the theoretical analysis. Under multiagent social learning framework, we modeled the behavior of agent in biologic environment, and theoretically analyzed the dynamics of the model. We present some sufficient conditions about convergence or non-convergence and prove them theoretically. It can be used to predict the convergence of the system.

  13. A Reconceptualized Framework for "Opportunity to Learn" in School Mathematics

    ERIC Educational Resources Information Center

    Walkowiak, Temple A.; Pinter, Holly H.; Berry, Robert Q.

    2017-01-01

    We present a reconceptualized framework for opportunity to learn (OTL) in school mathematics that builds on previous conceptualizations of OTL and includes features related to both quantity (i.e., time) and quality. Our framework draws on existing literature and on our own observational research of mathematics teaching practices. Through the…

  14. A Framework for Measuring Student Learning Gains and Engagement in an Introductory Computing Course: A Preliminary Report of Findings

    ERIC Educational Resources Information Center

    Lim, Billy; Hosack, Bryan; Vogt, Paul

    2012-01-01

    This paper describes a framework for measuring student learning gains and engagement in a Computer Science 1 (CS 1) / Information Systems 1 (IS 1) course. The framework is designed for a CS1/IS1 course as it has been traditionally taught over the years as well as when it is taught using a new pedagogical approach with Web services. It enables the…

  15. An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation

    NASA Technical Reports Server (NTRS)

    Zhang, Zhou; Pasolli, Edoardo; Crawford, Melba M.; Tilton, James C.

    2015-01-01

    Augmenting spectral data with spatial information for image classification has recently gained significant attention, as classification accuracy can often be improved by extracting spatial information from neighboring pixels. In this paper, we propose a new framework in which active learning (AL) and hierarchical segmentation (HSeg) are combined for spectral-spatial classification of hyperspectral images. The spatial information is extracted from a best segmentation obtained by pruning the HSeg tree using a new supervised strategy. The best segmentation is updated at each iteration of the AL process, thus taking advantage of informative labeled samples provided by the user. The proposed strategy incorporates spatial information in two ways: 1) concatenating the extracted spatial features and the original spectral features into a stacked vector and 2) extending the training set using a self-learning-based semi-supervised learning (SSL) approach. Finally, the two strategies are combined within an AL framework. The proposed framework is validated with two benchmark hyperspectral datasets. Higher classification accuracies are obtained by the proposed framework with respect to five other state-of-the-art spectral-spatial classification approaches. Moreover, the effectiveness of the proposed pruning strategy is also demonstrated relative to the approaches based on a fixed segmentation.

  16. Conceptualizing Debates in Learning and Educational Research: Toward a Complex Systems Conceptual Framework of Learning

    ERIC Educational Resources Information Center

    Jacobson, Michael J.; Kapur, Manu; Reimann, Peter

    2016-01-01

    This article proposes a conceptual framework of learning based on perspectives and methodologies being employed in the study of complex physical and social systems to inform educational research. We argue that the contexts in which learning occurs are complex systems with elements or agents at different levels--including neuronal, cognitive,…

  17. Community-Academic Partnerships: Developing a Service-Learning Framework.

    PubMed

    Voss, Heather C; Mathews, Launa Rae; Fossen, Traci; Scott, Ginger; Schaefer, Michele

    2015-01-01

    Academic partnerships with hospitals and health care agencies for authentic clinical learning have become a major focus of schools of nursing and professional nursing organizations. Formal academic partnerships in community settings are less common despite evolving models of care delivery outside of inpatient settings. Community-Academic partnerships are commonly developed as a means to engage nursing students in service-learning experiences with an emphasis on student outcomes. The benefit of service-learning projects on community partners and populations receiving the service is largely unknown primarily due to the lack of structure for identifying and measuring outcomes specific to service-learning. Nursing students and their faculty engaged in service-learning have a unique opportunity to collaborate with community partners to evaluate benefits of service-learning projects on those receiving the service. This article describes the development of a service-learning framework as a first step toward successful measurement of the benefits of undergraduate nursing students' service-learning projects on community agencies and the people they serve through a collaborative community-academic partnership. Copyright © 2015 Elsevier Inc. All rights reserved.

  18. Learning Factory--Assembling Learning Content with a Framework

    ERIC Educational Resources Information Center

    Steininger, Peter

    2016-01-01

    Many of the challenges currently facing lectures are symptoms of problems with learning content creation, development and presentation. Learning Factory solves these problems by integrating critical innovations that have been proven over the last ten to twenty years in different industrial areas, but have not yet been brought or ported together in…

  19. Examining Electronic Learning Communities through the Communities of Practice Framework

    ERIC Educational Resources Information Center

    Linton, Jayme N.

    2015-01-01

    This qualitative interpretive case study used Wenger's (1998) communities of practice (CoP) framework to analyze how the electronic learning community (eLC) process at an established state virtual high school operated like a community of practice. Components of the eLC process were analyzed according to elements of the CoP framework, which…

  20. A Framework for Evaluating and Enhancing Alignment in Self-Regulated Learning Research

    PubMed Central

    Dent, Amy L.; Hoyle, Rick H.

    2015-01-01

    We discuss the articles of this special issue with reference to an important yet previously only implicit dimension of study quality: alignment across the theoretical and methodological decisions that collectively define an approach to self-regulated learning. Integrating and extending work by leaders in the field, we propose a framework for evaluating alignment in the way self-regulated learning research is both conducted and reported. Within this framework, the special issue articles provide a springboard for discussing methodological promises and pitfalls of increasingly sophisticated research on the dynamic, contingent, and contextualized features of self-regulated learning. PMID:25825589

  1. Professional Development Framework for e-Learning: A Guide for Advisers and Practitioners

    ERIC Educational Resources Information Center

    Smith, Ros

    2007-01-01

    In January 2006 the Learning and Skills Development Agency (LSDA) launched its draft publication, "A Professional Development Framework for e-Learning" (ePD) for consultation with the post-16 education and training sector. In March 2006 the Learning and Skills Council funded the Learning and Skills Network (LSN) to run a pilot to…

  2. Expanding the Frontiers of National Qualifications Frameworks through Lifelong Learning

    ERIC Educational Resources Information Center

    Owusu-Agyeman, Yaw

    2017-01-01

    The adoption of a national qualifications framework (NQF) by some governments in all world regions has shown some success in the area of formal learning. However, while NQFs continue to enhance "formal" learning in many countries, the same cannot be said for the recognition, validation and accreditation (RVA) of "non-formal"…

  3. SQL Collaborative Learning Framework Based on SOA

    NASA Astrophysics Data System (ADS)

    Armiati, S.; Awangga, RM

    2018-04-01

    The research is focused on designing collaborative learning-oriented framework fulfilment service in teaching SQL Oracle 10g. Framework built a foundation of academic fulfilment service performed by a layer of the working unit in collaboration with Program Studi Manajemen Informatika. In the design phase defined what form of collaboration models and information technology proposed for Program Studi Manajemen Informatika by using a framework of collaboration inspired by the stages of modelling a Service Oriented Architecture (SOA). Stages begin with analyzing subsystems, this activity is used to determine subsystem involved and reliance as well as workflow between the subsystems. After the service can be identified, the second phase is designing the component specifications, which details the components that are implemented in the service to include the data, rules, services, profiles can be configured, and variations. The third stage is to allocate service, set the service to the subsystems that have been identified, and its components. Implementation framework contributes to the teaching guides and application architecture that can be used as a landing realize an increase in service by applying information technology.

  4. Systematic evaluation of deep learning based detection frameworks for aerial imagery

    NASA Astrophysics Data System (ADS)

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

    2018-04-01

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

  5. Exploring the oxygen supply and demand framework as a learning tool in undergraduate nursing education.

    PubMed

    Gillespie, Mary; Shackell, Eileen

    2017-11-01

    In nursing education, physiological concepts are typically presented within a body 'systems' framework yet learners are often challenged to apply this knowledge in the holistic and functional manner needed for effective clinical decision-making and safe patient care. A nursing faculty addressed this learning challenge by developing an advanced organizer as a conceptual and integrative learning tool to support learners in diverse learning environments and practice settings. A mixed methods research study was conducted that explored the effectiveness of the Oxygen Supply and Demand Framework as a learning tool in undergraduate nursing education. A pretest/post-test assessment and reflective journal were used to gather data. Findings indicated the Oxygen Supply and Demand Framework guided the development of pattern recognition and thinking processes and supported knowledge development, knowledge application and clinical decision-making. The Oxygen Supply and Demand Framework supports undergraduate students learning to provide safe and effective nursing care. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. Toward an Evaluation Framework for Doctoral Education in Social Work: A 10-Year Retrospective of One PhD Program's Assessment Experiences

    ERIC Educational Resources Information Center

    Bentley, Kia J.

    2013-01-01

    This article presents a framework for evaluation in social work doctoral education and details 10 years of successes and challenges in one PhD program's use of the framework, including planning and implementing specific assessment activities around student learning outcomes and larger program goals. The article argues that a range of…

  7. A leadership framework to support the use of e-learning resources.

    PubMed

    McCutcheon, Karen

    2014-06-01

    Recognition needs to be given to emerging postgraduate nursing students' status of 'consumer', and the challenge for nurse education is to remain relevant and competitive in a consumer-led market. An e-learning model has been suggested as a competitive and contemporary way forward for student consumers, but successful introduction of this requires leadership and strong organisational management systems. This article applies the NHS leadership framework to nurse education in relation to implementation of e-learning and describes and interprets each element for application in higher education settings. By applying a leadership framework that acknowledges the skills and abilities of staff and encourages the formation of collaborative partnerships in the wider university community, educators can begin to develop skills and confidence in teaching using e-learning resources.

  8. Lessons Learned From Developing A Streaming Data Framework for Scientific Analysis

    NASA Technical Reports Server (NTRS)

    Wheeler. Kevin R.; Allan, Mark; Curry, Charles

    2003-01-01

    We describe the development and usage of a streaming data analysis software framework. The framework is used for three different applications: Earth science hyper-spectral imaging analysis, Electromyograph pattern detection, and Electroencephalogram state determination. In each application the framework was used to answer a series of science questions which evolved with each subsequent answer. This evolution is summarized in the form of lessons learned.

  9. An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing.

    PubMed

    Wu, Zujian; Pang, Wei; Coghill, George M

    2015-01-01

    Both qualitative and quantitative model learning frameworks for biochemical systems have been studied in computational systems biology. In this research, after introducing two forms of pre-defined component patterns to represent biochemical models, we propose an integrative qualitative and quantitative modelling framework for inferring biochemical systems. In the proposed framework, interactions between reactants in the candidate models for a target biochemical system are evolved and eventually identified by the application of a qualitative model learning approach with an evolution strategy. Kinetic rates of the models generated from qualitative model learning are then further optimised by employing a quantitative approach with simulated annealing. Experimental results indicate that our proposed integrative framework is feasible to learn the relationships between biochemical reactants qualitatively and to make the model replicate the behaviours of the target system by optimising the kinetic rates quantitatively. Moreover, potential reactants of a target biochemical system can be discovered by hypothesising complex reactants in the synthetic models. Based on the biochemical models learned from the proposed framework, biologists can further perform experimental study in wet laboratory. In this way, natural biochemical systems can be better understood.

  10. Evaluating QR Code Case Studies Using a Mobile Learning Framework

    ERIC Educational Resources Information Center

    Rikala, Jenni

    2014-01-01

    The aim of this study was to evaluate the feasibility of Quick Response (QR) codes and mobile devices in the context of Finnish basic education. The feasibility was analyzed through a mobile learning framework, which includes the core characteristics of mobile learning. The study is part of a larger research where the aim is to develop a…

  11. The Development of a Proposed Global Work-Integrated Learning Framework

    ERIC Educational Resources Information Center

    McRae, Norah; Johnston, Nancy

    2016-01-01

    Building on the work completed in BC that resulted in the development of a WIL Matrix for comparing and contrasting various forms of WIL with the Canadian co-op model, this paper proposes a Global Work-Integrated Learning Framework that allows for the comparison of a variety of models of work-integrated learning found in the international…

  12. Teachers' Knowing How to Use Technology: Exploring a Conceptual Framework for Purposeful Learning Activity

    ERIC Educational Resources Information Center

    Fisher, Tony; Denning, Tim; Higgins, Chris; Loveless, Avril

    2012-01-01

    This article describes a project to apply and validate a conceptual framework of clusters of purposeful learning activity involving ICT tools. The framework, which is based in a socio-cultural perspective, is described as "DECK", and comprises the following major categories of the use of digital technologies to support learning:…

  13. University Educators' Instructional Choices and Their Learning Styles within a Lesson Framework

    ERIC Educational Resources Information Center

    Mazo, Lucille B.

    2017-01-01

    Research on learning styles often focuses on the learning style of the student; however, the learning style of the educator may affect instructional choices and student learning. Few studies have addressed the lack of knowledge that exists in universities with respect to educators' learning styles and a lesson framework (development, delivery, and…

  14. A Conceptual Framework for Web-Based Learning Design

    ERIC Educational Resources Information Center

    Alomyan, Hesham

    2017-01-01

    The purpose of this paper is to provide a coherent framework to present the relationship between individual differences and web-based learning. Two individual difference factors have been identified for investigation within the present paper: Cognitive style and prior knowledge. The importance of individual differences is reviewed and previous…

  15. A Model Driven Framework to Address Challenges in a Mobile Learning Environment

    ERIC Educational Resources Information Center

    Khaddage, Ferial; Christensen, Rhonda; Lai, Wing; Knezek, Gerald; Norris, Cathie; Soloway, Elliot

    2015-01-01

    In this paper a review of the pedagogical, technological, policy and research challenges and concepts underlying mobile learning is presented, followed by a brief description of categories of implementations. A model Mobile learning framework and dynamic criteria for mobile learning implementations are proposed, along with a case study of one site…

  16. From Research to Practice: A Framework for Contextualizing Teaching and Learning

    ERIC Educational Resources Information Center

    Ambrose, Valerie K.; Davis, C. Amelia; Ziegler, Mary F.

    2013-01-01

    Developmental reading instructors are increasingly pressured to include real-world content in their curriculum to bring contextualized teaching and learning to life. The purpose of this practitioner-focused article is to tie knowledge about contextualized teaching and learning with classroom application techniques. We present a framework that…

  17. Leadership Development and Language Learning: A Foundational Framework

    ERIC Educational Resources Information Center

    Long, Sheri Spaine; Derby, LeAnn; Scharff, Lauren; LeLoup, Jean W.; Uribe, Daniel

    2015-01-01

    The ACTFL [American Council on the Teaching of Foreign Languages] 21st Century Skills Map (2011) proposes incorporating "leadership and responsibility" into language learning (LL). This study offers a foundational framework for combined LL and leadership development (LD) and contains a snapshot of the presence of LD in the language…

  18. Strategies, Systems and Services: A Northern Ireland Early Years Policy Perspective

    ERIC Educational Resources Information Center

    McMillan, Dorothy J.; McConnell, Barbara

    2015-01-01

    Following a lengthy consultation process across Northern Ireland (NI), 2013 saw the publication of Learning to Learn: A Framework for Early Years Education and Learning [DE (Department of Education). 2013. "Learning to Learn: A Framework for Early Years Education and Learning." Accessed July 15, 2014.…

  19. A Framework for Developing Self-Directed Technology Use for Language Learning

    ERIC Educational Resources Information Center

    Lai, Chun

    2013-01-01

    Critical to maximizing the potential of technology for learning is enhancing language learners' self-directed use of technology for learning purposes. This study aimed to enhance our understanding of the determinants of self-directed technology use through the construction of a structural equation modelling (SEM) framework of factors and…

  20. Analyzing Educators' Online Interactions: A Framework of Online Learning Support Roles

    ERIC Educational Resources Information Center

    Nacu, Denise C.; Martin, Caitlin K.; Pinkard, Nichole; Gray, Tené

    2016-01-01

    While the potential benefits of participating in online learning communities are documented, so too are inequities in terms of how different populations access and use them. We present the online learning support roles (OLSR) framework, an approach using both automated analytics and qualitative interpretation to identify and explore online…

  1. Revised Community of Inquiry Framework: Examining Learning Presence in a Blended Mode of Delivery

    ERIC Educational Resources Information Center

    Pool, Jessica; Reitsma, Gerda; van den Berg, Dirk

    2017-01-01

    This paper presents a study grounded in the Community of Inquiry (CoI) framework using qualitative content analysis and focus group interviews in an effort to identify aspects of learning presence in a blended learning course. Research has suggested that the CoI framework may need additional emphasis based on the roles of strategic learners in…

  2. Implementation of a Framework for Collaborative Social Networks in E-Learning

    ERIC Educational Resources Information Center

    Maglajlic, Seid

    2016-01-01

    This paper describes the implementation of a framework for the construction and utilization of social networks in ELearning. These social networks aim to enhance collaboration between all E-Learning participants (i.e. both traineeto-trainee and trainee-to-tutor communication are targeted). E-Learning systems that include a so-called "social…

  3. Children Learning to Use Technologies through Play: A Digital Play Framework

    ERIC Educational Resources Information Center

    Bird, Jo; Edwards, Susan

    2015-01-01

    Digital technologies are increasingly acknowledged as an important aspect of early childhood education. A significant problem for early childhood education has been how to understand the pedagogical use of technologies in a sector that values play-based learning. This paper presents a new framework to understand how children learn to use…

  4. Toward a New Motivation to Learn Framework for Older Adult Learners

    ERIC Educational Resources Information Center

    Lin, Yi-Yin; Sandmann, Lorilee R.

    2012-01-01

    Although existing literature addresses adults' motivation to learn, and some specifically focuses on older adults, it is now recognized that older adults are more heterogeneous and complex than other age groups. Therefore, this study seeks to provide an alternative theoretical framework to investigate motivation to learn for older adult learners…

  5. An Instructional Design Framework for Fostering Student Engagement in Online Learning Environments

    ERIC Educational Resources Information Center

    Czerkawski, Betul C.; Lyman, Eugene W.

    2016-01-01

    Many approaches, models and frameworks exist when designing quality online learning environments. These approaches assist and guide instructional designers through the process of analysis, design, development, implementation and evaluation of instructional processes. Some of these frameworks are concerned with student participation, some with…

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

    ERIC Educational Resources Information Center

    Paulsson, Fredrik; Naeve, Ambjorn

    2006-01-01

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

  7. Equitable Access by Design. A Conceptual Framework for Integrated Student Supports within Linked Learning Pathways

    ERIC Educational Resources Information Center

    de Velasco, Jorge Ruiz; Newman, Elizabeth; Borsato, Graciela

    2016-01-01

    This report proposes a conceptual framework for defining and implementing a system of integrated student supports that provides equitable access to college and career readiness via Linked Learning pathways in high schools. The framework emphasizes the central commitment of the Linked Learning approach to challenge prevailing norms of…

  8. A Framework for Hierarchical Perception-Action Learning Utilizing Fuzzy Reasoning.

    PubMed

    Windridge, David; Felsberg, Michael; Shaukat, Affan

    2013-02-01

    Perception-action (P-A) learning is an approach to cognitive system building that seeks to reduce the complexity associated with conventional environment-representation/action-planning approaches. Instead, actions are directly mapped onto the perceptual transitions that they bring about, eliminating the need for intermediate representation and significantly reducing training requirements. We here set out a very general learning framework for cognitive systems in which online learning of the P-A mapping may be conducted within a symbolic processing context, so that complex contextual reasoning can influence the P-A mapping. In utilizing a variational calculus approach to define a suitable objective function, the P-A mapping can be treated as an online learning problem via gradient descent using partial derivatives. Our central theoretical result is to demonstrate top-down modulation of low-level perceptual confidences via the Jacobian of the higher levels of a subsumptive P-A hierarchy. Thus, the separation of the Jacobian as a multiplying factor between levels within the objective function naturally enables the integration of abstract symbolic manipulation in the form of fuzzy deductive logic into the P-A mapping learning. We experimentally demonstrate that the resulting framework achieves significantly better accuracy than using P-A learning without top-down modulation. We also demonstrate that it permits novel forms of context-dependent multilevel P-A mapping, applying the mechanism in the context of an intelligent driver assistance system.

  9. A framework for exploring integrated learning systems for the governance and management of public protected areas.

    PubMed

    Nkhata, Bimo Abraham; Breen, Charles

    2010-02-01

    This article discusses how the concept of integrated learning systems provides a useful means of exploring the functional linkages between the governance and management of public protected areas. It presents a conceptual framework of an integrated learning system that explicitly incorporates learning processes in governance and management subsystems. The framework is premised on the assumption that an understanding of an integrated learning system is essential if we are to successfully promote learning across multiple scales as a fundamental component of adaptability in the governance and management of protected areas. The framework is used to illustrate real-world situations that reflect the nature and substance of the linkages between governance and management. Drawing on lessons from North America and Africa, the article demonstrates that the establishment and maintenance of an integrated learning system take place in a complex context which links elements of governance learning and management learning subsystems. The degree to which the two subsystems are coupled influences the performance of an integrated learning system and ultimately adaptability. Such performance is largely determined by how integrated learning processes allow for the systematic testing of societal assumptions (beliefs, values, and public interest) to enable society and protected area agencies to adapt and learn in the face of social and ecological change. It is argued that an integrated perspective provides a potentially useful framework for explaining and improving shared understanding around which the concept of adaptability is structured and implemented.

  10. Using a Personal Learning Framework to Transform Middle Grades Teaching Practice

    ERIC Educational Resources Information Center

    Nagle, James; Taylor, Don

    2017-01-01

    In 2013 the Vermont legislature enacted Act 77 mandating that students in Grades 7-12 develop personalized learning plans (PLPs) to guide them toward high school graduation using proficiency-based requirements. In the present qualitative self-study, we document the impact of implementation of a personal learning framework integrating PLPs into a…

  11. A Framework for Re-thinking Learning in Science from Recent Cognitive Science Perspectives

    NASA Astrophysics Data System (ADS)

    Tytler, Russell; Prain, Vaughan

    2010-10-01

    Recent accounts by cognitive scientists of factors affecting cognition imply the need to reconsider current dominant conceptual theories about science learning. These new accounts emphasize the role of context, embodied practices, and narrative-based representation rather than learners' cognitive constructs. In this paper we analyse data from a longitudinal study of primary school children's learning to outline a framework based on these contemporary accounts and to delineate key points of difference from conceptual change perspectives. The findings suggest this framework provides strong theoretical and practical insights into how children learn and the key role of representational negotiation in this learning. We argue that the nature and process of conceptual change can be re-interpreted in terms of the development of students' representational resources.

  12. Collaborative learning framework for online stakeholder engagement.

    PubMed

    Khodyakov, Dmitry; Savitsky, Terrance D; Dalal, Siddhartha

    2016-08-01

    Public and stakeholder engagement can improve the quality of both research and policy decision making. However, such engagement poses significant methodological challenges in terms of collecting and analysing input from large, diverse groups. To explain how online approaches can facilitate iterative stakeholder engagement, to describe how input from large and diverse stakeholder groups can be analysed and to propose a collaborative learning framework (CLF) to interpret stakeholder engagement results. We use 'A National Conversation on Reducing the Burden of Suicide in the United States' as a case study of online stakeholder engagement and employ a Bayesian data modelling approach to develop a CLF. Our data modelling results identified six distinct stakeholder clusters that varied in the degree of individual articulation and group agreement and exhibited one of the three learning styles: learning towards consensus, learning by contrast and groupthink. Learning by contrast was the most common, or dominant, learning style in this study. Study results were used to develop a CLF, which helps explore multitude of stakeholder perspectives; identifies clusters of participants with similar shifts in beliefs; offers an empirically derived indicator of engagement quality; and helps determine the dominant learning style. The ability to detect learning by contrast helps illustrate differences in stakeholder perspectives, which may help policymakers, including Patient-Centered Outcomes Research Institute, make better decisions by soliciting and incorporating input from patients, caregivers, health-care providers and researchers. Study results have important implications for soliciting and incorporating input from stakeholders with different interests and perspectives. © 2015 The Authors. Health Expectations Published by John Wiley & Sons Ltd.

  13. Joint Entropy Minimization for Learning in Nonparametric Framework

    DTIC Science & Technology

    2006-06-09

    Tibshirani, G. Sherlock , W. C. Chan, T. C. Greiner, D. D. Weisenburger, J. O. Armitage, R. Warnke, R. Levy, W. Wilson, M. R. Grever, J. C. Byrd, D. Botstein, P...Entropy Minimization for Learning in Nonparametric Framework 33 [11] D.L. Collins, A.P. Zijdenbos, J.G. Kollokian, N.J. Sled, C.J. Kabani, C.J. Holmes

  14. A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements.

    PubMed

    Takiyama, Ken; Sakai, Yutaka

    2017-02-01

    Certain theoretical frameworks have successfully explained motor learning in either unimanual or bimanual movements. However, no single theoretical framework can comprehensively explain motor learning in both types of movement because the relationship between these two types of movement remains unclear. Although our recent model of a balanced motor primitive framework attempted to simultaneously explain motor learning in unimanual and bimanual movements, this model focused only on a limited subset of bimanual movements and therefore did not elucidate the relationships between unimanual movements and various bimanual movements. Here, we extend the balanced motor primitive framework to simultaneously explain motor learning in unimanual and various bimanual movements as well as the transfer of learning effects between unimanual and various bimanual movements; these phenomena can be simultaneously explained if the mean activity of each primitive for various unimanual movements is balanced with the corresponding mean activity for various bimanual movements. Using this balanced condition, we can reproduce the results of prior behavioral and neurophysiological experiments. Furthermore, we demonstrate that the balanced condition can be implemented in a simple neural network model. Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.

  15. A Design Framework for Enhancing Engagement in Student-Centered Learning: Own It, Learn It, and Share It

    ERIC Educational Resources Information Center

    Lee, Eunbae; Hannafin, Michael J.

    2016-01-01

    Student-centered learning (SCL) identifies students as the owners of their learning. While SCL is increasingly discussed in K-12 and higher education, researchers and practitioners lack current and comprehensive framework to design, develop, and implement SCL. We examine the implications of theory and research-based evidence to inform those who…

  16. Using a Learning Progression Framework to Assess and Evaluate Student Growth

    ERIC Educational Resources Information Center

    Briggs, Derek C.; Diaz-Bilello, Elena; Peck, Fred; Alzen, Jessica; Chattergoon, Rajendra; Johnson, Raymond

    2015-01-01

    This report describes the use of a Learning Progression Framework (LPF) to support the Student Learning Objectives (SLO) process. The report highlights a few common threats we currently see in the SLO process implemented at various states and districts, and offers the LPF as a possible solution for addressing these threats. This report was…

  17. Supporting Collective Inquiry: A Technology Framework for Distributed Learning

    NASA Astrophysics Data System (ADS)

    Tissenbaum, Michael

    This design-based study describes the implementation and evaluation of a technology framework to support smart classrooms and Distributed Technology Enhanced Learning (DTEL) called SAIL Smart Space (S3). S3 is an open-source technology framework designed to support students engaged in inquiry investigations as a knowledge community. To evaluate the effectiveness of S3 as a generalizable technology framework, a curriculum named PLACE (Physics Learning Across Contexts and Environments) was developed to support two grade-11 physics classes (n = 22; n = 23) engaged in a multi-context inquiry curriculum based on the Knowledge Community and Inquiry (KCI) pedagogical model. This dissertation outlines three initial design studies that established a set of design principles for DTEL curricula, and related technology infrastructures. These principles guided the development of PLACE, a twelve-week inquiry curriculum in which students drew upon their community-generated knowledge base as a source of evidence for solving ill-structured physics problems based on the physics of Hollywood movies. During the culminating smart classroom activity, the S3 framework played a central role in orchestrating student activities, including managing the flow of materials and students using real-time data mining and intelligent agents that responded to emergent class patterns. S3 supported students' construction of knowledge through the use individual, collective and collaborative scripts and technologies, including tablets and interactive large-format displays. Aggregate and real-time ambient visualizations helped the teacher act as a wondering facilitator, supporting students in their inquiry where needed. A teacher orchestration tablet gave the teacher some control over the flow of the scripted activities, and alerted him to critical moments for intervention. Analysis focuses on S3's effectiveness in supporting students' inquiry across multiple learning contexts and scales of time, and in

  18. Assessing Study Abroad Programs: Application of the "SLEPT" Framework through Learning Communities

    ERIC Educational Resources Information Center

    Tajes, Maria; Ortiz, Jamie

    2010-01-01

    This case study proposes a comprehensive conceptual framework for exploring student learning outcomes of short-term study abroad programs. It uses the Social, Legal, Economic, Political, and Technological framework to assess understanding of the host country before departing and after returning. Participation fostered global literacy and critical…

  19. Networked Learning for Agricultural Extension: A Framework for Analysis and Two Cases

    ERIC Educational Resources Information Center

    Kelly, Nick; Bennett, John McLean; Starasts, Ann

    2017-01-01

    Purpose: This paper presents economic and pedagogical motivations for adopting information and communications technology (ICT)- mediated learning networks in agricultural education and extension. It proposes a framework for networked learning in agricultural extension and contributes a theoretical and case-based rationale for adopting the…

  20. Reconsidering the Framework. Learning in Science Project. Working Paper No. 14.

    ERIC Educational Resources Information Center

    Osborne, Roger; And Others

    The first working paper of the Learning in Science Project, "An Initial Framework," outlined what was then seen as the major aims of the project and suggested how these aims might be achieved by three phases of research: exploratory (to observe teaching/learning in Form 1 to 4 science classrooms and to identify difficulties perceived by…

  1. Video copy protection and detection framework (VPD) for e-learning systems

    NASA Astrophysics Data System (ADS)

    ZandI, Babak; Doustarmoghaddam, Danial; Pour, Mahsa R.

    2013-03-01

    This Article reviews and compares the copyright issues related to the digital video files, which can be categorized as contended based and Digital watermarking copy Detection. Then we describe how to protect a digital video by using a special Video data hiding method and algorithm. We also discuss how to detect the copy right of the file, Based on expounding Direction of the technology of the video copy detection, and Combining with the own research results, brings forward a new video protection and copy detection approach in terms of plagiarism and e-learning systems using the video data hiding technology. Finally we introduce a framework for Video protection and detection in e-learning systems (VPD Framework).

  2. A Review of Literacy Frameworks for Learning Environments Design

    ERIC Educational Resources Information Center

    Rebmann, Kristen Radsliff

    2013-01-01

    This article charts the development of three literacy research frameworks: multiliteracies, new literacies, and popular literacies. By reviewing the literature surrounding three current conceptions of literacy, an attempt is made to form an integrative grouping that captures the most relevant elements of each for learning environments design.…

  3. Learning Experience as Transaction: A Framework for Instructional Design

    ERIC Educational Resources Information Center

    Parrish, Patrick E.; Wilson, Brent G.; Dunlap, Joanna C.

    2011-01-01

    This article presents a framework for understanding learning experience as an object for instructional design--as an object for design as well as research and understanding. Compared to traditional behavioral objectives or discrete cognitive skills, the object of experience is more holistic, requiring simultaneous attention to cognition, behavior,…

  4. Framework for the Development of OER-Based Learning Materials in ODL Environment

    ERIC Educational Resources Information Center

    Teng, Khor Ean; Hung, Chung Sheng

    2013-01-01

    This paper describes the framework for the development of OER-based learning materials "TCC121/05 Programming Fundamentals with Java" for ODL learners in Wawasan Open University (WOU) using three main development phases mainly: creation, evaluation and production phases. The proposed framework has further been tested on ODL learners to…

  5. A Theoretically Grounded Framework for Integrating the Scholarship of Teaching and Learning

    ERIC Educational Resources Information Center

    Walls, Jill K.

    2016-01-01

    SoTL scholars have written about the importance and utility of teaching from a guiding theoretical framework. In this paper, ecological theory and specifically Bronfenbrenner's bioecological model, is examined as a potential framework for synthesizing SoTL research findings to inform teaching and learning scholarship at the college level. A…

  6. Learning in Physics by Doing Laboratory Work: Towards a New Conceptual Framework

    ERIC Educational Resources Information Center

    Danielsson, Anna Teresia; Linder, Cedric

    2009-01-01

    Drawing on a study that explores university students' experiences of doing laboratory work in physics, this article outlines a proposed conceptual framework for extending the exploration of the gendered experience of learning. In this framework situated cognition and post-structural gender theory are merged together. By drawing on data that aim at…

  7. Improving condition severity classification with an efficient active learning based framework

    PubMed Central

    Nissim, Nir; Boland, Mary Regina; Tatonetti, Nicholas P.; Elovici, Yuval; Hripcsak, George; Shahar, Yuval; Moskovitch, Robert

    2017-01-01

    Classification of condition severity can be useful for discriminating among sets of conditions or phenotypes, for example when prioritizing patient care or for other healthcare purposes. Electronic Health Records (EHRs) represent a rich source of labeled information that can be harnessed for severity classification. The labeling of EHRs is expensive and in many cases requires employing professionals with high level of expertise. In this study, we demonstrate the use of Active Learning (AL) techniques to decrease expert labeling efforts. We employ three AL methods and demonstrate their ability to reduce labeling efforts while effectively discriminating condition severity. We incorporate three AL methods into a new framework based on the original CAESAR (Classification Approach for Extracting Severity Automatically from Electronic Health Records) framework to create the Active Learning Enhancement framework (CAESAR-ALE). We applied CAESAR-ALE to a dataset containing 516 conditions of varying severity levels that were manually labeled by seven experts. Our dataset, called the “CAESAR dataset,” was created from the medical records of 1.9 million patients treated at Columbia University Medical Center (CUMC). All three AL methods decreased labelers’ efforts compared to the learning methods applied by the original CAESER framework in which the classifier was trained on the entire set of conditions; depending on the AL strategy used in the current study, the reduction ranged from 48% to 64% that can result in significant savings, both in time and money. As for the PPV (precision) measure, CAESAR-ALE achieved more than 13% absolute improvement in the predictive capabilities of the framework when classifying conditions as severe. These results demonstrate the potential of AL methods to decrease the labeling efforts of medical experts, while increasing accuracy given the same (or even a smaller) number of acquired conditions. We also demonstrated that the methods

  8. Improving condition severity classification with an efficient active learning based framework.

    PubMed

    Nissim, Nir; Boland, Mary Regina; Tatonetti, Nicholas P; Elovici, Yuval; Hripcsak, George; Shahar, Yuval; Moskovitch, Robert

    2016-06-01

    Classification of condition severity can be useful for discriminating among sets of conditions or phenotypes, for example when prioritizing patient care or for other healthcare purposes. Electronic Health Records (EHRs) represent a rich source of labeled information that can be harnessed for severity classification. The labeling of EHRs is expensive and in many cases requires employing professionals with high level of expertise. In this study, we demonstrate the use of Active Learning (AL) techniques to decrease expert labeling efforts. We employ three AL methods and demonstrate their ability to reduce labeling efforts while effectively discriminating condition severity. We incorporate three AL methods into a new framework based on the original CAESAR (Classification Approach for Extracting Severity Automatically from Electronic Health Records) framework to create the Active Learning Enhancement framework (CAESAR-ALE). We applied CAESAR-ALE to a dataset containing 516 conditions of varying severity levels that were manually labeled by seven experts. Our dataset, called the "CAESAR dataset," was created from the medical records of 1.9 million patients treated at Columbia University Medical Center (CUMC). All three AL methods decreased labelers' efforts compared to the learning methods applied by the original CAESER framework in which the classifier was trained on the entire set of conditions; depending on the AL strategy used in the current study, the reduction ranged from 48% to 64% that can result in significant savings, both in time and money. As for the PPV (precision) measure, CAESAR-ALE achieved more than 13% absolute improvement in the predictive capabilities of the framework when classifying conditions as severe. These results demonstrate the potential of AL methods to decrease the labeling efforts of medical experts, while increasing accuracy given the same (or even a smaller) number of acquired conditions. We also demonstrated that the methods included in

  9. A Framework for Evaluating Qualitative Changes in Learners' Experience and Engagement: Developing Communicative English Teaching and Learning in Bangladesh

    ERIC Educational Resources Information Center

    Kirkwood, Adrian Terence; Rae, Jan

    2011-01-01

    This article presents the context and framework for evaluation studies of educational transformations associated with the English in Action Project, Bangladesh (EIA) as it progresses over a nine-year period. EIA was launched in May 2008 with the intention of developing communicative English language learning and teaching in Bangladesh. Through a…

  10. Failure Analysis of a Complex Learning Framework Incorporating Multi-Modal and Semi-Supervised Learning

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

    Pullum, Laura L; Symons, Christopher T

    2011-01-01

    Machine learning is used in many applications, from machine vision to speech recognition to decision support systems, and is used to test applications. However, though much has been done to evaluate the performance of machine learning algorithms, little has been done to verify the algorithms or examine their failure modes. Moreover, complex learning frameworks often require stepping beyond black box evaluation to distinguish between errors based on natural limits on learning and errors that arise from mistakes in implementation. We present a conceptual architecture, failure model and taxonomy, and failure modes and effects analysis (FMEA) of a semi-supervised, multi-modal learningmore » system, and provide specific examples from its use in a radiological analysis assistant system. The goal of the research described in this paper is to provide a foundation from which dependability analysis of systems using semi-supervised, multi-modal learning can be conducted. The methods presented provide a first step towards that overall goal.« less

  11. Learning through Constructing Representations in Science: A Framework of Representational Construction Affordances

    ERIC Educational Resources Information Center

    Prain, Vaughan; Tytler, Russell

    2012-01-01

    Compared with research on the role of student engagement with expert representations in learning science, investigation of the use and theoretical justification of student-generated representations to learn science is less common. In this paper, we present a framework that aims to integrate three perspectives to explain how and why…

  12. The Belem Framework for Action: Harnessing the Power and Potential of Adult Learning and Education for a Viable Future

    ERIC Educational Resources Information Center

    Adult Learning, 2012

    2012-01-01

    This article presents the Belem Framework for Action. This framework focuses on harnessing the power and potential of adult learning and education for a viable future. This framework begins with a preamble on adult education and towards lifelong learning.

  13. Psychological theory and pedagogical effectiveness: the learning promotion potential framework.

    PubMed

    Tomlinson, Peter

    2008-12-01

    After a century of educational psychology, eminent commentators are still lamenting problems besetting the appropriate relating of psychological insights to teaching design, a situation not helped by the persistence of crude assumptions concerning the nature of pedagogical effectiveness. To propose an analytical or meta-theoretical framework based on the concept of learning promotion potential (LPP) as a basis for understanding the basic relationship between psychological insights and teaching strategies, and to draw out implications for psychology-based pedagogical design, development and research. This is a theoretical and meta-theoretical paper relying mainly on conceptual analysis, though also calling on psychological theory and research. Since teaching consists essentially in activity designed to promote learning, it follows that a teaching strategy has the potential in principle to achieve particular kinds of learning gains (LPP) to the extent that it embodies or stimulates the relevant learning processes on the part of learners and enables the teacher's functions of on-line monitoring and assistance for such learning processes. Whether a teaching strategy actually does realize its LPP by way of achieving its intended learning goals depends also on the quality of its implementation, in conjunction with other factors in the situated interaction that teaching always involves. The core role of psychology is to provide well-grounded indication of the nature of such learning processes and the teaching functions that support them, rather than to directly generate particular ways of teaching. A critically eclectic stance towards potential sources of psychological insight is argued for. Applying this framework, the paper proposes five kinds of issue to be attended to in the design and evaluation of psychology-based pedagogy. Other work proposing comparable ideas is briefly reviewed, with particular attention to similarities and a key difference with the ideas of Oser

  14. Mapping of Supply Chain Learning: A Framework for SMEs

    ERIC Educational Resources Information Center

    Thakkar, Jitesh; Kanda, Arun; Deshmukh, S. G.

    2011-01-01

    Purpose: The aim of this paper is to propose a mapping framework for evaluating supply chain learning potential for the context of small- to medium-sized enterprises (SMEs). Design/methodology/approach: The extracts of recently completed case based research for ten manufacturing SME units and facts reported in the previous research are utilized…

  15. Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

    PubMed Central

    Wu, Guorong; Kim, Minjeong; Wang, Qian; Munsell, Brent C.

    2015-01-01

    Feature selection is a critical step in deformable image registration. In particular, selecting the most discriminative features that accurately and concisely describe complex morphological patterns in image patches improves correspondence detection, which in turn improves image registration accuracy. Furthermore, since more and more imaging modalities are being invented to better identify morphological changes in medical imaging data,, the development of deformable image registration method that scales well to new image modalities or new image applications with little to no human intervention would have a significant impact on the medical image analysis community. To address these concerns, a learning-based image registration framework is proposed that uses deep learning to discover compact and highly discriminative features upon observed imaging data. Specifically, the proposed feature selection method uses a convolutional stacked auto-encoder to identify intrinsic deep feature representations in image patches. Since deep learning is an unsupervised learning method, no ground truth label knowledge is required. This makes the proposed feature selection method more flexible to new imaging modalities since feature representations can be directly learned from the observed imaging data in a very short amount of time. Using the LONI and ADNI imaging datasets, image registration performance was compared to two existing state-of-the-art deformable image registration methods that use handcrafted features. To demonstrate the scalability of the proposed image registration framework image registration experiments were conducted on 7.0-tesla brain MR images. In all experiments, the results showed the new image registration framework consistently demonstrated more accurate registration results when compared to state-of-the-art. PMID:26552069

  16. Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.

    PubMed

    Wu, Guorong; Kim, Minjeong; Wang, Qian; Munsell, Brent C; Shen, Dinggang

    2016-07-01

    Feature selection is a critical step in deformable image registration. In particular, selecting the most discriminative features that accurately and concisely describe complex morphological patterns in image patches improves correspondence detection, which in turn improves image registration accuracy. Furthermore, since more and more imaging modalities are being invented to better identify morphological changes in medical imaging data, the development of deformable image registration method that scales well to new image modalities or new image applications with little to no human intervention would have a significant impact on the medical image analysis community. To address these concerns, a learning-based image registration framework is proposed that uses deep learning to discover compact and highly discriminative features upon observed imaging data. Specifically, the proposed feature selection method uses a convolutional stacked autoencoder to identify intrinsic deep feature representations in image patches. Since deep learning is an unsupervised learning method, no ground truth label knowledge is required. This makes the proposed feature selection method more flexible to new imaging modalities since feature representations can be directly learned from the observed imaging data in a very short amount of time. Using the LONI and ADNI imaging datasets, image registration performance was compared to two existing state-of-the-art deformable image registration methods that use handcrafted features. To demonstrate the scalability of the proposed image registration framework, image registration experiments were conducted on 7.0-T brain MR images. In all experiments, the results showed that the new image registration framework consistently demonstrated more accurate registration results when compared to state of the art.

  17. Representation learning: a unified deep learning framework for automatic prostate MR segmentation.

    PubMed

    Liao, Shu; Gao, Yaozong; Oto, Aytekin; Shen, Dinggang

    2013-01-01

    Image representation plays an important role in medical image analysis. The key to the success of different medical image analysis algorithms is heavily dependent on how we represent the input data, namely features used to characterize the input image. In the literature, feature engineering remains as an active research topic, and many novel hand-crafted features are designed such as Haar wavelet, histogram of oriented gradient, and local binary patterns. However, such features are not designed with the guidance of the underlying dataset at hand. To this end, we argue that the most effective features should be designed in a learning based manner, namely representation learning, which can be adapted to different patient datasets at hand. In this paper, we introduce a deep learning framework to achieve this goal. Specifically, a stacked independent subspace analysis (ISA) network is adopted to learn the most effective features in a hierarchical and unsupervised manner. The learnt features are adapted to the dataset at hand and encode high level semantic anatomical information. The proposed method is evaluated on the application of automatic prostate MR segmentation. Experimental results show that significant segmentation accuracy improvement can be achieved by the proposed deep learning method compared to other state-of-the-art segmentation approaches.

  18. An Experience-Based Learning Framework: Activities for the Initial Development of Sustainability Competencies

    ERIC Educational Resources Information Center

    Caniglia, Guido; John, Beatrice; Kohler, Martin; Bellina, Leonie; Wiek, Arnim; Rojas, Christopher; Laubichler, Manfred D.; Lang, Daniel

    2016-01-01

    Purpose: This paper aims to present an experience-based learning framework that provides a bottom-up, student-centered entrance point for the development of systems thinking, normative and collaborative competencies in sustainability. Design/methodology/approach: The framework combines mental mapping with exploratory walking. It interweaves…

  19. Analyzing learning during Peer Instruction dialogues: A resource activation framework

    NASA Astrophysics Data System (ADS)

    Wood, Anna K.; Galloway, Ross K.; Hardy, Judy; Sinclair, Christine M.

    2014-12-01

    Peer Instruction (PI) is an evidence based pedagogy commonly used in undergraduate physics instruction. When asked questions designed to test conceptual understanding, it has been observed that the proportion of students choosing the correct answer increases following peer discussion; however, relatively little is known about what takes place during these discussions or how they are beneficial to the processes of learning physics [M. C. James and S. Willoughby, Am. J. Phys. 79, 123 (2011)]. In this paper a framework for analyzing PI discussions developed through the lens of the "resources model" [D. Hammer, Am. J. Phys. 64, 1316 (1996); D. Hammer et al., Information Age Publishing (2005)] is proposed. A central hypothesis for this framework is that the dialogue with peers plays a crucial role in activating appropriate cognitive resources, enabling the students to see the problem differently, and therefore to answer the questions correctly. This framework is used to gain greater insights into the PI discussions of first year undergraduate physics students at the University of Edinburgh, UK, which were recorded using Livescribe Smartpens. Analysis of the dialogues revealed three different types of resource activation corresponding to increasing cognitive grain size. These were activation of knowledge elements, activation of linkages between knowledge elements, and activation of control structures (epistemic games and epistemological frames). Three case studies are examined to illustrate the role that peer dialogue plays in the activation of these cognitive resources in a PI session. The implications for pedagogical practice are discussed.

  20. Framework for e-learning assessment in dental education: a global model for the future.

    PubMed

    Arevalo, Carolina R; Bayne, Stephen C; Beeley, Josie A; Brayshaw, Christine J; Cox, Margaret J; Donaldson, Nora H; Elson, Bruce S; Grayden, Sharon K; Hatzipanagos, Stylianos; Johnson, Lynn A; Reynolds, Patricia A; Schönwetter, Dieter J

    2013-05-01

    The framework presented in this article demonstrates strategies for a global approach to e-curricula in dental education by considering a collection of outcome assessment tools. By combining the outcomes for overall assessment, a global model for a pilot project that applies e-assessment tools to virtual learning environments (VLE), including haptics, is presented. Assessment strategies from two projects, HapTEL (Haptics in Technology Enhanced Learning) and UDENTE (Universal Dental E-learning), act as case-user studies that have helped develop the proposed global framework. They incorporate additional assessment tools and include evaluations from questionnaires and stakeholders' focus groups. These measure each of the factors affecting the classical teaching/learning theory framework as defined by Entwistle in a standardized manner. A mathematical combinatorial approach is proposed to join these results together as a global assessment. With the use of haptic-based simulation learning, exercises for tooth preparation assessing enamel and dentine were compared to plastic teeth in manikins. Equivalence for student performance for haptic versus traditional preparation methods was established, thus establishing the validity of the haptic solution for performing these exercises. Further data collected from HapTEL are still being analyzed, and pilots are being conducted to validate the proposed test measures. Initial results have been encouraging, but clearly the need persists to develop additional e-assessment methods for new learning domains.

  1. Depth image super-resolution via semi self-taught learning framework

    NASA Astrophysics Data System (ADS)

    Zhao, Furong; Cao, Zhiguo; Xiao, Yang; Zhang, Xiaodi; Xian, Ke; Li, Ruibo

    2017-06-01

    Depth images have recently attracted much attention in computer vision and high-quality 3D content for 3DTV and 3D movies. In this paper, we present a new semi self-taught learning application framework for enhancing resolution of depth maps without making use of ancillary color images data at the target resolution, or multiple aligned depth maps. Our framework consists of cascade random forests reaching from coarse to fine results. We learn the surface information and structure transformations both from a small high-quality depth exemplars and the input depth map itself across different scales. Considering that edge plays an important role in depth map quality, we optimize an effective regularized objective that calculates on output image space and input edge space in random forests. Experiments show the effectiveness and superiority of our method against other techniques with or without applying aligned RGB information

  2. Learning Difficulties and Ethnicity: Updating a Framework for Action

    ERIC Educational Resources Information Center

    Poxton, Richard

    2012-01-01

    This update of the Framework for Action highlights the continuing relevance of its message as well as those raised by Valuing People Now. People with learning difficulties and their families from Black and minority ethnic (BME) communities have been highlighted as a priority group by Valuing People since 2001 and remain a priority for better…

  3. A machine learning-based framework to identify type 2 diabetes through electronic health records

    PubMed Central

    Zheng, Tao; Xie, Wei; Xu, Liling; He, Xiaoying; Zhang, Ya; You, Mingrong; Yang, Gong; Chen, You

    2016-01-01

    Objective To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide association study (PheWAS), more cases (T2DM subjects) and controls (subjects without T2DM) are required to be identified (e.g., via Electronic Health Records (EHR)). However, existing expert based identification algorithms often suffer in a low recall rate and could miss a large number of valuable samples under conservative filtering standards. The goal of this work is to develop a semi-automated framework based on machine learning as a pilot study to liberalize filtering criteria to improve recall rate with a keeping of low false positive rate. Materials and methods We propose a data informed framework for identifying subjects with and without T2DM from EHR via feature engineering and machine learning. We evaluate and contrast the identification performance of widely-used machine learning models within our framework, including k-Nearest-Neighbors, Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine and Logistic Regression. Our framework was conducted on 300 patient samples (161 cases, 60 controls and 79 unconfirmed subjects), randomly selected from 23,281 diabetes related cohort retrieved from a regional distributed EHR repository ranging from 2012 to 2014. Results We apply top-performing machine learning algorithms on the engineered features. We benchmark and contrast the accuracy, precision, AUC, sensitivity and specificity of classification models against the state-of-the-art expert algorithm for identification of T2DM subjects. Our results indicate that the framework achieved high identification performances (∼0.98 in average AUC), which are much higher than the state-of-the-art algorithm (0.71 in AUC). Discussion Expert algorithm-based identification of T2DM subjects from EHR is often hampered by the high missing rates due to their conservative selection criteria. Our

  4. A machine learning-based framework to identify type 2 diabetes through electronic health records.

    PubMed

    Zheng, Tao; Xie, Wei; Xu, Liling; He, Xiaoying; Zhang, Ya; You, Mingrong; Yang, Gong; Chen, You

    2017-01-01

    To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide association study (PheWAS), more cases (T2DM subjects) and controls (subjects without T2DM) are required to be identified (e.g., via Electronic Health Records (EHR)). However, existing expert based identification algorithms often suffer in a low recall rate and could miss a large number of valuable samples under conservative filtering standards. The goal of this work is to develop a semi-automated framework based on machine learning as a pilot study to liberalize filtering criteria to improve recall rate with a keeping of low false positive rate. We propose a data informed framework for identifying subjects with and without T2DM from EHR via feature engineering and machine learning. We evaluate and contrast the identification performance of widely-used machine learning models within our framework, including k-Nearest-Neighbors, Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine and Logistic Regression. Our framework was conducted on 300 patient samples (161 cases, 60 controls and 79 unconfirmed subjects), randomly selected from 23,281 diabetes related cohort retrieved from a regional distributed EHR repository ranging from 2012 to 2014. We apply top-performing machine learning algorithms on the engineered features. We benchmark and contrast the accuracy, precision, AUC, sensitivity and specificity of classification models against the state-of-the-art expert algorithm for identification of T2DM subjects. Our results indicate that the framework achieved high identification performances (∼0.98 in average AUC), which are much higher than the state-of-the-art algorithm (0.71 in AUC). Expert algorithm-based identification of T2DM subjects from EHR is often hampered by the high missing rates due to their conservative selection criteria. Our framework leverages machine learning and feature

  5. ENERGY-NET (Energy, Environment and Society Learning Network): Enhancing opportunities for learning using an Earth systems science framework

    NASA Astrophysics Data System (ADS)

    Elliott, E. M.; Bain, D. J.; Divers, M. T.; Crowley, K. J.; Povis, K.; Scardina, A.; Steiner, M.

    2012-12-01

    We describe a newly funded collaborative NSF initiative, ENERGY-NET (Energy, Environment and Society Learning Network), that brings together the Carnegie Museum of Natural History (CMNH) with the Learning Science and Geoscience research strengths at the University of Pittsburgh. ENERGY-NET aims to create rich opportunities for participatory learning and public education in the arena of energy, the environment, and society using an Earth systems science framework. We build upon a long-established teen docent program at CMNH and to form Geoscience Squads comprised of underserved teens. Together, the ENERGY-NET team, including museum staff, experts in informal learning sciences, and geoscientists spanning career stage (undergraduates, graduate students, faculty) provides inquiry-based learning experiences guided by Earth systems science principles. Together, the team works with Geoscience Squads to design "Exploration Stations" for use with CMNH visitors that employ an Earth systems science framework to explore the intersecting lenses of energy, the environment, and society. The goals of ENERGY-NET are to: 1) Develop a rich set of experiential learning activities to enhance public knowledge about the complex dynamics between Energy, Environment, and Society for demonstration at CMNH; 2) Expand diversity in the geosciences workforce by mentoring underrepresented teens, providing authentic learning experiences in earth systems science and life skills, and providing networking opportunities with geoscientists; and 3) Institutionalize ENERGY-NET collaborations among geosciences expert, learning researchers, and museum staff to yield long-term improvements in public geoscience education and geoscience workforce recruiting.

  6. Developing a Framework for Social Technologies in Learning via Design-Based Research

    ERIC Educational Resources Information Center

    Parmaxi, Antigoni; Zaphiris, Panayiotis

    2015-01-01

    This paper reports on the use of design-based research (DBR) for the development of a framework that grounds the use of social technologies in learning. The paper focuses on three studies which step on the learning theory of constructionism. Constructionism assumes that knowledge is better gained when students find this knowledge for themselves…

  7. A Conceptual Framework for Achieving Good Governance at Open and Distance Learning Institutions

    ERIC Educational Resources Information Center

    Khanna, Pankaj

    2017-01-01

    This paper describes a good governance architecture framework that would bring significant improvements in the overall working of open and distance learning institutions in a well-structured and systematic way. The good governance framework is articulated with seven basic principles which are performance, transparency, accountability,…

  8. Developing a Hybrid Model to Predict Student First Year Retention in STEM Disciplines Using Machine Learning Techniques

    ERIC Educational Resources Information Center

    Alkhasawneh, Ruba; Hargraves, Rosalyn Hobson

    2014-01-01

    The purpose of this research was to develop a hybrid framework to model first year student retention for underrepresented minority (URM) students comprising African Americans, Hispanic Americans, and Native Americans. Identifying inputs that best contribute to student retention provides significant information for institutions to learn about…

  9. Contextual learning and context effects during infancy: 30 years of controversial research revisited.

    PubMed

    Revillo, D A; Cotella, E; Paglini, M G; Arias, C

    2015-09-01

    Over the last 30years a considerable number of reports have explored learning about context during infancy in both humans and rats. This research was stimulated by two different theoretical frameworks. The first, known as the neuromaturational model, postulates that learning and behavior are context-independent during early ontogeny, a hypothesis based on the idea that contextual learning is dependent on the hippocampal function, and that this brain structure does not reach full maturity until late in infancy. The second theoretical framework views infants not as immature organisms, but rather as perfectly matured ones, given that their behavioral and cognitive capacities allow them to adapt appropriately to the demands of their specific environment in accordance with their maturational level. This model predicts significant ontogenetic variations in learning and memory due to developmental differences in what is perceived and attended to during learning episodes, which can result in ontogenetic differences in contextual learning depending on the specific demands of the task. The present manuscript reviews those studies that have examined potential developmental differences in contextual learning and context effects in rats. The reviewed results show that, during infancy, context can exert a similar influence over learning and memory as that described for the adult rat. Moreover, in some cases, contextual learning and context effects were greater in infants than in adults. In contrast, under other experimental conditions, no evidence of contextual learning or context effects was observed. We analyzed the procedural factors of these studies with the aim of detecting those that favor or impede contextual learning during infancy, and we discussed whether existing empirical evidence supports the claim that the functionality of the hippocampus is a limiting factor for this type of learning during infancy. Finally, conclusions from human research into contextual learning

  10. Analytic Frameworks for Assessing Dialogic Argumentation in Online Learning Environments

    ERIC Educational Resources Information Center

    Clark, Douglas B; Sampson, Victor; Weinberger, Armin; Erkens, Gijsbert

    2007-01-01

    Over the last decade, researchers have developed sophisticated online learning environments to support students engaging in dialogic argumentation. This review examines five categories of analytic frameworks for measuring participant interactions within these environments focusing on (1) formal argumentation structure, (2) conceptual quality, (3)…

  11. E2E: A Summary of the e2e Learning Framework.

    ERIC Educational Resources Information Center

    Learning and Skills Development Agency, London (England).

    This publication is a summary of the E2E (Entry to Employment) Learning Framework that provides guidance on program implementation. (E2E is a new learning program for young people not yet ready or able to enter Modern Apprenticeship programs, a Level 2 program, or employment directly.) Section 2 highlights core values to which all involved should…

  12. The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning

    ERIC Educational Resources Information Center

    Koedinger, Kenneth R.; Corbett, Albert T.; Perfetti, Charles

    2012-01-01

    Despite the accumulation of substantial cognitive science research relevant to education, there remains confusion and controversy in the application of research to educational practice. In support of a more systematic approach, we describe the Knowledge-Learning-Instruction (KLI) framework. KLI promotes the emergence of instructional principles of…

  13. Examining Prediction Models of Giving up within a Resource-Based Framework of Coping in Primary School Students with and without Learning Disabilities

    ERIC Educational Resources Information Center

    Skues, Jason L.; Cunningham, Everarda G.; Theiler, Stephen S.

    2016-01-01

    This study tests a proposed model of coping outcomes for 290 primary school students in Years 5 and 6 (mean age = 11.50 years) with and without learning disabilities (LDs) within a resource-based framework of coping. Group-administered educational and intelligence tests were used to screen students for LDs. Students also completed a questionnaire…

  14. Students' "Uses and Gratification Expectancy" Conceptual Framework in Relation to E-Learning Resources

    ERIC Educational Resources Information Center

    Mondi, Makingu; Woods, Peter; Rafi, Ahmad

    2007-01-01

    This paper presents the systematic development of a "Uses and Gratification Expectancy" (UGE) conceptual framework which is able to predict students' "Perceived e-Learning Experience." It is argued that students' UGE as regards e-learning resources cannot be implicitly or explicitly explored without first examining underlying communication…

  15. When Playing Meets Learning: Methodological Framework for Designing Educational Games

    NASA Astrophysics Data System (ADS)

    Linek, Stephanie B.; Schwarz, Daniel; Bopp, Matthias; Albert, Dietrich

    Game-based learning builds upon the idea of using the motivational potential of video games in the educational context. Thus, the design of educational games has to address optimizing enjoyment as well as optimizing learning. Within the EC-project ELEKTRA a methodological framework for the conceptual design of educational games was developed. Thereby state-of-the-art psycho-pedagogical approaches were combined with insights of media-psychology as well as with best-practice game design. This science-based interdisciplinary approach was enriched by enclosed empirical research to answer open questions on educational game-design. Additionally, several evaluation-cycles were implemented to achieve further improvements. The psycho-pedagogical core of the methodology can be summarized by the ELEKTRA's 4Ms: Macroadaptivity, Microadaptivity, Metacognition, and Motivation. The conceptual framework is structured in eight phases which have several interconnections and feedback-cycles that enable a close interdisciplinary collaboration between game design, pedagogy, cognitive science and media psychology.

  16. A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles.

    PubMed

    Wang, Ning; Sun, Jing-Chao; Er, Meng Joo; Liu, Yan-Cheng

    2016-05-01

    In this paper, an extreme learning control (ELC) framework using the single-hidden-layer feedforward network (SLFN) with random hidden nodes for tracking an unmanned surface vehicle suffering from unknown dynamics and external disturbances is proposed. By combining tracking errors with derivatives, an error surface and transformed states are defined to encapsulate unknown dynamics and disturbances into a lumped vector field of transformed states. The lumped nonlinearity is further identified accurately by an extreme-learning-machine-based SLFN approximator which does not require a priori system knowledge nor tuning input weights. Only output weights of the SLFN need to be updated by adaptive projection-based laws derived from the Lyapunov approach. Moreover, an error compensator is incorporated to suppress approximation residuals, and thereby contributing to the robustness and global asymptotic stability of the closed-loop ELC system. Simulation studies and comprehensive comparisons demonstrate that the ELC framework achieves high accuracy in both tracking and approximation.

  17. Grade Expectations for Vermont's Framework of Standards and Learning Opportunities, Spring 2004 (Mathematics, Reading and Writing)

    ERIC Educational Resources Information Center

    Vermont Department of Education, 2004

    2004-01-01

    This document, "Grade Expectations for Vermont's Framework of Standards and Learning Opportunities" (hereafter "Vermont's Grade Expectations"), is an important companion to "Vermont's Framework." These Grade Expectations (GEs) serve the same purposes as "Vermont's Framework," but articulate learning…

  18. Evidence-based Frameworks for Teaching and Learning in Classical Singing Training: A Systematic Review.

    PubMed

    Crocco, Laura; Madill, Catherine J; McCabe, Patricia

    2017-01-01

    The study systematically reviews evidence-based frameworks for teaching and learning of classical singing training. This is a systematic review. A systematic literature search of 15 electronic databases following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines was conducted. Eligibility criteria included type of publication, participant characteristics, intervention, and report of outcomes. Quality rating scales were applied to support assessment of the included literature. Data analysis was conducted using meta-aggregation. Nine papers met the inclusion criteria. No complete evidence-based teaching and learning framework was found. Thematic content analysis showed that studies either (1) identified teaching practices in one-to-one lessons, (2) identified student learning strategies in one-to-one lessons or personal practice sessions, and (3) implemented a tool to enhance one specific area of teaching and learning in lessons. The included studies showed that research in music education is not always specific to musical genre or instrumental group, with four of the nine studies including participant teachers and students of classical voice training only. The overall methodological quality ratings were low. Research in classical singing training has not yet developed an evidence-based framework for classical singing training. This review has found that introductory information on teaching and learning practices has been provided, and tools have been suggested for use in the evaluation of the teaching-learning process. High-quality methodological research designs are needed. Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

  19. Let's Talk Learning Analytics: A Framework for Implementation in Relation to Student Retention

    ERIC Educational Resources Information Center

    West, Deborah; Heath, David; Huijser, Henk

    2016-01-01

    This paper presents a dialogical tool for the advancement of learning analytics implementation for student retention in Higher Education institutions. The framework was developed as an outcome of a project commissioned and funded by the Australian Government's "Office for Learning and Teaching". The project took a mixed-method approach…

  20. The RISE Framework: Using Learning Analytics to Automatically Identify Open Educational Resources for Continuous Improvement

    ERIC Educational Resources Information Center

    Bodily, Robert; Nyland, Rob; Wiley, David

    2017-01-01

    The RISE (Resource Inspection, Selection, and Enhancement) Framework is a framework supporting the continuous improvement of open educational resources (OER). The framework is an automated process that identifies learning resources that should be evaluated and either eliminated or improved. This is particularly useful in OER contexts where the…

  1. A Framework for Culturally Relevant Online Learning: Lessons from Alaska's Tribal Health Workers.

    PubMed

    Cueva, Katie; Cueva, Melany; Revels, Laura; Lanier, Anne P; Dignan, Mark; Viswanath, K; Fung, Teresa T; Geller, Alan C

    2018-03-22

    Culturally relevant health promotion is an opportunity to reduce health inequities in diseases with modifiable risks, such as cancer. Alaska Native people bear a disproportionate cancer burden, and Alaska's rural tribal health workers consequently requested cancer education accessible online. In response, the Alaska Native Tribal Health Consortium cancer education team sought to create a framework for culturally relevant online learning to inform the creation of distance-delivered cancer education. Guided by the principles of community-based participatory action research and grounded in empowerment theory, the project team conducted a focus group with 10 Alaska Native education experts, 12 culturally diverse key informant interviews, a key stakeholder survey of 62 Alaska Native tribal health workers and their instructors/supervisors, and a literature review on distance-delivered education with Alaska Native or American Indian people. Qualitative findings were analyzed in Atlas.ti, with common themes presented in this article as a framework for culturally relevant online education. This proposed framework includes four principles: collaborative development, interactive content delivery, contextualizing learning, and creating connection. As an Alaskan tribal health worker shared "we're all in this together. All about conversations, relationships. Always learn from you/with you, together what we know and understand from the center of our experience, our ways of knowing, being, caring." The proposed framework has been applied to support cancer education and promote cancer control with Alaska Native people and has motivated health behavior change to reduce cancer risk. This framework may be adaptable to other populations to guide effective and culturally relevant online interventions.

  2. Validation of an e-Learning 3.0 Critical Success Factors Framework: A Qualitative Research

    ERIC Educational Resources Information Center

    Miranda, Paula; Isaias, Pedro; Costa, Carlos J.; Pifano, Sara

    2017-01-01

    Aim/Purpose: As e-Learning 3.0 evolves from a theoretical construct into an actual solution for online learning, it becomes crucial to accompany this progress by scrutinising the elements that are at the origin of its success. Background: This paper outlines a framework of e-Learning 3.0's critical success factors and its empirical validation.…

  3. Praxis and reflexivity for interprofessional education: towards an inclusive theoretical framework for learning.

    PubMed

    Hutchings, Maggie; Scammell, Janet; Quinney, Anne

    2013-09-01

    While there is growing evidence of theoretical perspectives adopted in interprofessional education, learning theories tend to foreground the individual, focusing on psycho-social aspects of individual differences and professional identity to the detriment of considering social-structural factors at work in social practices. Conversely socially situated practice is criticised for being context-specific, making it difficult to draw generalisable conclusions for improving interprofessional education. This article builds on a theoretical framework derived from earlier research, drawing on the dynamics of Dewey's experiential learning theory and Archer's critical realist social theory, to make a case for a meta-theoretical framework enabling social-constructivist and situated learning theories to be interlinked and integrated through praxis and reflexivity. Our current analysis is grounded in an interprofessional curriculum initiative mediated by a virtual community peopled by health and social care users. Student perceptions, captured through quantitative and qualitative data, suggest three major disruptive themes, creating opportunities for congruence and disjuncture and generating a model of zones of interlinked praxis associated with professional differences and identity, pedagogic strategies and technology-mediated approaches. This model contributes to a framework for understanding the complexity of interprofessional learning and offers bridges between individual and structural factors for engaging with the enablements and constraints at work in communities of practice and networks for interprofessional education.

  4. Experience, trajectories, and reifications: an emerging framework of practice-based learning in healthcare workplaces.

    PubMed

    Teunissen, Pim W

    2015-10-01

    Learning by working is omnipresent in healthcare education. It enables people to learn how to perform, think, and interact in ways that work for their specific context. In this paper, I review my approach to studying this process. It centers on the question why healthcare professionals do what they do and how their actions and learning are intertwined. The aim of this paper is to illustrate what I have learned from the research I have been involved in, in such a way that it enables other researchers, educators, and clinicians to understand and study practice-based learning in healthcare workplaces. Therefore, I build on a programmatic line of research to present a framework of practice-based learning consisting of three inextricably linked levels of analysis. The first level focuses on how situations lead to personal experiences, the second level looks at strings of experiences that lead to multiple trajectories, and the third level deals with reifications arising from recurrent activities. This framework, and its interrelations and inherent tensions, helps to understand why healthcare workplaces can be both a powerful learning environment and a frustratingly hard place to change.

  5. Toward a common theory for learning from reward, affect, and motivation: the SIMON framework.

    PubMed

    Madan, Christopher R

    2013-10-07

    While the effects of reward, affect, and motivation on learning have each developed into their own fields of research, they largely have been investigated in isolation. As all three of these constructs are highly related, and use similar experimental procedures, an important advance in research would be to consider the interplay between these constructs. Here we first define each of the three constructs, and then discuss how they may influence each other within a common framework. Finally, we delineate several sources of evidence supporting the framework. By considering the constructs of reward, affect, and motivation within a single framework, we can develop a better understanding of the processes involved in learning and how they interplay, and work toward a comprehensive theory that encompasses reward, affect, and motivation.

  6. Using the "Indicators of Engaged Learning Online" Framework to Evaluate Online Course Quality

    ERIC Educational Resources Information Center

    Bigatel, Paula M.; Edel-Malizia, Stephanie

    2018-01-01

    This article is a case study of the use of the "Indicators of Engaged Learning Online" (IELO) framework (See Appendix 1) as a guide to evaluate the quality of online courses. The framework lends itself well to measures of engagement, particularly, in terms of online course design because of its comprehensiveness. Six online courses were…

  7. Experiencing Mathematics for Connected Understanding: Using the RAMR Framework for Accelerating Students' Learning

    ERIC Educational Resources Information Center

    Nutchey, David; Grant, Edlyn; English, Lyn

    2016-01-01

    This paper reports on the use of the RAMR framework within a curriculum project. Description of the RAMR framework's theoretical bases is followed by two descriptions of students' learning in the classroom. Implications include the need for the teacher to connect student activities in a structured sequence, although this may be predicated on the…

  8. The European Qualification Framework: Skills, Competences or Knowledge?

    ERIC Educational Resources Information Center

    Mehaut, Philippe; Winch, Christopher

    2012-01-01

    The European Qualification Framework (EQF) is intended to transform European national qualification frameworks (NQFs) by moulding them into a learning outcomes framework. Currently adopted as an enabling law by the European Union, the EQF has now operated for several years. In order to secure widespread adoption, however, it will be necessary for…

  9. Integrating learning assessment and supervision in a competency framework for clinical workplace education.

    PubMed

    Embo, M; Driessen, E; Valcke, M; van der Vleuten, C P M

    2015-02-01

    Although competency-based education is well established in health care education, research shows that the competencies do not always match the reality of clinical workplaces. Therefore, there is a need to design feasible and evidence-based competency frameworks that fit the workplace reality. This theoretical paper outlines a competency-based framework, designed to facilitate learning, assessment and supervision in clinical workplace education. Integration is the cornerstone of this holistic competency framework. Copyright © 2014 Elsevier Ltd. All rights reserved.

  10. Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.

    PubMed

    Younghak Shin; Balasingham, Ilangko

    2017-07-01

    Colonoscopy is a standard method for screening polyps by highly trained physicians. Miss-detected polyps in colonoscopy are potential risk factor for colorectal cancer. In this study, we investigate an automatic polyp classification framework. We aim to compare two different approaches named hand-craft feature method and convolutional neural network (CNN) based deep learning method. Combined shape and color features are used for hand craft feature extraction and support vector machine (SVM) method is adopted for classification. For CNN approach, three convolution and pooling based deep learning framework is used for classification purpose. The proposed framework is evaluated using three public polyp databases. From the experimental results, we have shown that the CNN based deep learning framework shows better classification performance than the hand-craft feature based methods. It achieves over 90% of classification accuracy, sensitivity, specificity and precision.

  11. A framework to develop a clinical learning culture in health facilities: ideas from the literature.

    PubMed

    Henderson, A; Briggs, J; Schoonbeek, S; Paterson, K

    2011-06-01

    Internationally, there is an increase in demand to educate nurses within the clinical practice environment. Clinical practice settings that encourage teaching and learning during episodes of care delivery can be powerful in educating both the existing nursing workforce and nursing students. This paper presents a framework, informed by the literature, that identifies the key factors that are needed to encourage the interactions fundamental to learning in clinical practice. Learning occurs when nurses demonstrate good practice, share their knowledge through conversations and discussions, and also provide feedback to learners, such as students and novices. These types of interactions occur when positive leadership practices encourage trust and openness between staff; when the management team provides sessions for staff to learn how to interact with learners, and also when partnerships provide support and guidance around learning in the workplace. APPLICATION OF CONCEPTS: This framework presents how the concepts of leadership, management and partnership interact to create and sustain learning environments. The feedback from proposed measurement tools can provide valuable information about the positive and negative aspects of these concepts in the clinical learning environment. Analysis of the subscales can assist in identifying appropriate recommended strategies outlined in the framework to guide nurses in improving the recognized deficits in the relationship between the concepts. Leadership, management and partnerships are pivotal for the creation and maintenance of positive learning environments. Diagnostic measurement tools can provide specific information about weaknesses across these areas. This knowledge can guide future initiatives. © 2011 The Authors. International Nursing Review © 2011 International Council of Nurses.

  12. Towards a Theory-Based Design Framework for an Effective E-Learning Computer Programming Course

    ERIC Educational Resources Information Center

    McGowan, Ian S.

    2016-01-01

    Built on Dabbagh (2005), this paper presents a four component theory-based design framework for an e-learning session in introductory computer programming. The framework, driven by a body of exemplars component, emphasizes the transformative interaction between the knowledge building community (KBC) pedagogical model, a mixed instructional…

  13. A Framework for Research on E-Learning Assimilation in SMEs: A Strategic Perspective

    ERIC Educational Resources Information Center

    Raymond, Louis; Uwizeyemungu, Sylvestre; Bergeron, Francois; Gauvin, Stephane

    2012-01-01

    Purpose: This study aims to propose an integrative conceptual framework of e-learning adoption and assimilation that is adapted to the specific context of small to medium-sized enterprises (SMEs). Design/methodology/approach: The literature on the state of e-learning usage in SMEs and on the IT adoption and assimilation factors that can be…

  14. How Do Learning Communities Affect First-Year Latino Students?

    ERIC Educational Resources Information Center

    Huerta, Juan Carlos; Bray, Jennifer J.

    2013-01-01

    Do learning communities with pedagogies of active learning, collaborative learning, and integration of course material affect the learning, achievement, and persistence of first-year Latino university students? The data for this project was obtained from a survey of 1,330 first-year students in the First-Year Learning Community Program at Texas…

  15. The Foundations of Learning Framework: A Model for School Readiness

    ERIC Educational Resources Information Center

    Sorrels, Barbara

    2012-01-01

    Since the National Education Goals Panel was convened in 1991, school readiness for all children has remained a high priority across our nation. The Foundations of Learning Framework is a tool to understand what it means for a child to be "ready." Preparation for educational success requires two key ingredients--relationships and play. In the…

  16. Culture, Culture Learning and New Technologies: Towards a Pedagogical Framework

    ERIC Educational Resources Information Center

    Levy, Mike

    2007-01-01

    This paper seeks to improve approaches to the learning and teaching of culture using new technologies by relating the key qualities and dimensions of the culture concept to elements within a pedagogical framework. In Part One, five facets of the culture concept are developed: culture as elemental; culture as relative; culture as group membership;…

  17. iNACOL Blended Learning Teacher Competency Framework

    ERIC Educational Resources Information Center

    Powell, Allison; Rabbitt, Beth; Kennedy, Kathryn

    2014-01-01

    In recent years there has been a dramatic rise in interest and early adoption of blended learning to improve the educational experiences of students. A great amount of work has been done to codify approaches, with tools and resources emphasizing the structural components of new models, such as the configuration of physical learning space, use of…

  18. The Social Outcomes of Older Adult Learning in Taiwan: Evaluation Framework and Indicators

    ERIC Educational Resources Information Center

    Lin, Li-Hui

    2015-01-01

    The purpose of this study is to explore the social outcomes of older adult learning in Taiwan. In light of our society's aging population structure, the task of establishing evaluation framework and indicators for the social outcomes of learning (SOL) as applied to older adults is urgent. In order to construct evaluation indicators for older adult…

  19. A Conceptual Framework for Error Remediation with Multiple External Representations Applied to Learning Objects

    ERIC Educational Resources Information Center

    Leite, Maici Duarte; Marczal, Diego; Pimentel, Andrey Ricardo; Direne, Alexandre Ibrahim

    2014-01-01

    This paper presents the application of some concepts of Intelligent Tutoring Systems (ITS) to elaborate a conceptual framework that uses the remediation of errors with Multiple External Representations (MERs) in Learning Objects (LO). To this is demonstrated a development of LO for teaching the Pythagorean Theorem through this framework. This…

  20. An emerging research framework for studying informal learning and schools

    NASA Astrophysics Data System (ADS)

    Martin, Laura M. W.

    2004-07-01

    In recognition of the fact that science centers and other informal educational institutions can play a role in the reform of science, technology, engineering, and mathematics (STEM) education, several major research and professional programs are currently underway. This article discusses one such effort, the Center for Informal Learning and Schools (CILS), a collaboration of the Exploratorium, the University of California, Santa Cruz, and King's College, London and the need for a theoretical framework based on socio-cultural theory to link discussion of varied efforts characterizing science learning in informal settings. The article discusses two key problematics related to developments in the science education field of the past decade: (1) integrating studies that are undertaken from multiple disciplinary perspectives, namely, science education, developmental psychology, and cultural studies, and (2) characterizing critical properties of informal learning in museums. It reviews work that has been conducted in nonschool settings and, using examples from research conducted by the Center for Informal Learning and Schools, it reviews questions currently under investigation.

  1. The Inquiry, Communication, Construction and Expression (ICCE) Framework for Understanding Learning Experiences in Games

    ERIC Educational Resources Information Center

    Shah, Mamta; Foster, Aroutis

    2014-01-01

    There is a paucity of research frameworks that focus on aiding game selection and use, analyzing the game as a holistic system, and studying learner experiences in games. There is a need for frameworks that provide a lens for understanding learning experiences afforded in digital games and facilitating knowledge construction and motivation to…

  2. Application of Frameworks in the Analysis and (Re)design of Interactive Visual Learning Tools

    ERIC Educational Resources Information Center

    Liang, Hai-Ning; Sedig, Kamran

    2009-01-01

    Interactive visual learning tools (IVLTs) are software environments that encode and display information visually and allow learners to interact with the visual information. This article examines the application and utility of frameworks in the analysis and design of IVLTs at the micro level. Frameworks play an important role in any design. They…

  3. A general framework to learn surrogate relevance criterion for atlas based image segmentation

    NASA Astrophysics Data System (ADS)

    Zhao, Tingting; Ruan, Dan

    2016-09-01

    Multi-atlas based image segmentation sees great opportunities in the big data era but also faces unprecedented challenges in identifying positive contributors from extensive heterogeneous data. To assess data relevance, image similarity criteria based on various image features widely serve as surrogates for the inaccessible geometric agreement criteria. This paper proposes a general framework to learn image based surrogate relevance criteria to better mimic the behaviors of segmentation based oracle geometric relevance. The validity of its general rationale is verified in the specific context of fusion set selection for image segmentation. More specifically, we first present a unified formulation for surrogate relevance criteria and model the neighborhood relationship among atlases based on the oracle relevance knowledge. Surrogates are then trained to be small for geometrically relevant neighbors and large for irrelevant remotes to the given targets. The proposed surrogate learning framework is verified in corpus callosum segmentation. The learned surrogates demonstrate superiority in inferring the underlying oracle value and selecting relevant fusion set, compared to benchmark surrogates.

  4. Using the "Expert Performance Approach" as a Framework for Improving Understanding of Expert Learning

    ERIC Educational Resources Information Center

    Williams, A. Mark; Fawver, Bradley; Hodges, Nicola J.

    2017-01-01

    The expert performance approach, initially proposed by Ericsson and Smith (1991), is reviewed as a systematic framework for the study of "expert" learning. The need to develop representative tasks to capture learning is discussed, as is the need to employ process-tracing measures during acquisition to examine what actually changes during…

  5. Two Year Community: Design and Components of a Two-Year College Interdisciplinary Field-Study Course

    ERIC Educational Resources Information Center

    Wolfe, Benjamin A.; Martin, Todd C.

    2013-01-01

    Interdisciplinary field study courses at 2-year colleges can provide an opportunity to enhance student learning. The authors present here an 11-day interdisciplinary field-study course designed for nonscience majors at a 2-year college. Using a theoretical learning framework that emphasizes cognitive and metacognitive gains, the field study…

  6. Building of a Disaster Recovery Framework for E-Learning Environment Using Private Cloud Collaboration

    ERIC Educational Resources Information Center

    Togawa, Satoshi; Kanenishi, Kazuhide

    2014-01-01

    In this research, we have built a framework of disaster recovery such as against earthquake, tsunami disaster and a heavy floods for e-Learning environment. Especially, our proposed framework is based on private cloud collaboration. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several private…

  7. Optimizing microstimulation using a reinforcement learning framework.

    PubMed

    Brockmeier, Austin J; Choi, John S; Distasio, Marcello M; Francis, Joseph T; Príncipe, José C

    2011-01-01

    The ability to provide sensory feedback is desired to enhance the functionality of neuroprosthetics. Somatosensory feedback provides closed-loop control to the motor system, which is lacking in feedforward neuroprosthetics. In the case of existing somatosensory function, a template of the natural response can be used as a template of desired response elicited by electrical microstimulation. In the case of no initial training data, microstimulation parameters that produce responses close to the template must be selected in an online manner. We propose using reinforcement learning as a framework to balance the exploration of the parameter space and the continued selection of promising parameters for further stimulation. This approach avoids an explicit model of the neural response from stimulation. We explore a preliminary architecture--treating the task as a k-armed bandit--using offline data recorded for natural touch and thalamic microstimulation, and we examine the methods efficiency in exploring the parameter space while concentrating on promising parameter forms. The best matching stimulation parameters, from k = 68 different forms, are selected by the reinforcement learning algorithm consistently after 334 realizations.

  8. Leveraging Competency Framework to Improve Teaching and Learning: A Methodological Approach

    ERIC Educational Resources Information Center

    Shankararaman, Venky; Ducrot, Joelle

    2016-01-01

    A number of engineering education programs have defined learning outcomes and course-level competencies, and conducted assessments at the program level to determine areas for continuous improvement. However, many of these programs have not implemented a comprehensive competency framework to support the actual delivery and assessment of an…

  9. Integration of Culturally Relevant Pedagogy into the Science Learning Progression Framework

    ERIC Educational Resources Information Center

    Bernardo, Cyntra

    2017-01-01

    This study integrated elements of culturally relevant pedagogy into a science learning progression framework, with the goal of enhancing teachers' cultural knowledge and thereby creating better teaching practices in an urban public high school science classroom. The study was conducted using teachers, an administrator, a science coach, and…

  10. Open-Ended Learning Environments: A Theoretical Framework and Model for Design.

    ERIC Educational Resources Information Center

    Hill, Janette R.; Land, Susan M.

    This paper presents a framework and model for design of open-ended learning environments (OELEs). First, an overview is presented that addresses key characteristics of OELEs, including: use of meaningful, complex contexts; provision of tools and resources; learner reflection and self-monitoring; and social, material, or technological scaffolding.…

  11. An Alienation-Based Framework for Student Experience in Higher Education: New Interpretations of Past Observations in Student Learning Theory

    ERIC Educational Resources Information Center

    Barnhardt, Bradford; Ginns, Paul

    2014-01-01

    This article orients a recently proposed alienation-based framework for student learning theory (SLT) to the empirical basis of the approaches to learning perspective. The proposed framework makes new macro-level interpretations of an established micro-level theory, across three levels of interpretation: (1) a context-free psychological state…

  12. Twenty Years of Learning: How To Do Research in Chemical Education. 2003 George C. Pimentel Award, sponsored by Dow Chemical Co.

    NASA Astrophysics Data System (ADS)

    Bodner, George M.

    2004-05-01

    It is twenty years since the first symposium on research in chemical education was held at the American Chemical Society meeting in St. Louis. Over the course of two decades, the number of people who have devoted their careers to doing research on the teaching and learning of chemistry has increased significantly. There have also been significant developments in the methodology for doing research in this area, and in the sophistication of the questions being investigated. This paper tries to summarize some of what the author has learned while working with graduate students pursuing research-based M.S. and/or Ph.D. degrees in chemical education. It describes the three fundamental elements of a good research study—the theoretical framework, the methodological framework, and the guiding research questions—and examines the process by which the choice of theoretical framework is made.

  13. The Community of Inquiry Framework Meets the SOLO Taxonomy: A Process-Product Model of Online Learning

    ERIC Educational Resources Information Center

    Shea, Peter; Gozza-Cohen, Mary; Uzuner, Sedef; Mehta, Ruchi; Valtcheva, Anna Valentinova; Hayes, Suzanne; Vickers, Jason

    2011-01-01

    This paper presents both a conceptual and empirical investigation of teaching and learning in online courses. Employing both the Community of Inquiry framework (CoI) and the Structure of Observed Learning Outcomes (SOLO) taxonomy, two complete online courses were examined for the quality of both collaborative learning processes and learning…

  14. A Proposed Framework between Internal, External and Pedagogy Dimensions in Adoption of Interactive Multimedia e-Learning

    ERIC Educational Resources Information Center

    Lahwal, Fathia; Al-Ajlan, Ajlan S.; Amain, Mohamad

    2016-01-01

    This study focuses on interactive multimedia e-learning aims to improve our understanding about the dynamics of e-learning. The objective is to critical evaluate and better understand the interrelationships in the proposed framework between internal, external and the pedagogy dimensions in adoption of interactive multimedia and e-learning. It…

  15. Applying the Kirkpatrick Model: Evaluating an "Interaction for Learning Framework" Curriculum Intervention

    ERIC Educational Resources Information Center

    Paull, Megan; Whitsed, Craig; Girardi, Antonia

    2016-01-01

    Global perspectives and interpersonal and intercultural communication competencies are viewed as a priority within higher education. For management educators, globalisation, student mobility and widening pathways present numerous challenges, but afford opportunities for curriculum innovation. The "Interaction for Learning Framework"…

  16. Critical Reflection as a Framework for Transformative Learning in Teacher Education

    ERIC Educational Resources Information Center

    Liu, Katrina

    2015-01-01

    This paper presents a framework for critical reflection that teacher educators can employ to analyze prospective teachers' reflection and support their transformative learning. The author argues that teacher educators should not only pay attention to the cognitive processes of prospective teachers (how they reflect), but also the content of their…

  17. Leading interprofessional practice: a conceptual framework to support practitioners in the field of learning disability.

    PubMed

    McCray, Janet

    2003-11-01

    One of the key challenges for practitioners in present day health and social care has been responding effectively in the interprofessional teamwork setting, where collaboration is at the centre of professional activity. For whilst practitioners are expected to work interprofessionally there often remains limited attention to the actual process of interprofessional practice itself, within organizational strategy, local workforce development planning and individual continuing professional development. These concerns were a driver for this research with practitioners in the field of learning disability which resulted in the development of a conceptual framework for interprofessional practice. This paper sets out the process of conceptual framework development, underpinned by the concepts of knowledge of learning disabilities, contextual socialisation, empowerment, conflict management, transforming capability and interprofessional reflection on action. The researcher suggests that the framework may offer clinical leaders in learning disabilities and a range of other practice settings a tool to facilitate individual practitioner development, enabling as it does, the identification of a range of critical factors which impact on the outcomes of interprofessional practice intervention.

  18. Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

    PubMed Central

    Frémaux, Nicolas; Sprekeler, Henning; Gerstner, Wulfram

    2013-01-01

    Animals repeat rewarded behaviors, but the physiological basis of reward-based learning has only been partially elucidated. On one hand, experimental evidence shows that the neuromodulator dopamine carries information about rewards and affects synaptic plasticity. On the other hand, the theory of reinforcement learning provides a framework for reward-based learning. Recent models of reward-modulated spike-timing-dependent plasticity have made first steps towards bridging the gap between the two approaches, but faced two problems. First, reinforcement learning is typically formulated in a discrete framework, ill-adapted to the description of natural situations. Second, biologically plausible models of reward-modulated spike-timing-dependent plasticity require precise calculation of the reward prediction error, yet it remains to be shown how this can be computed by neurons. Here we propose a solution to these problems by extending the continuous temporal difference (TD) learning of Doya (2000) to the case of spiking neurons in an actor-critic network operating in continuous time, and with continuous state and action representations. In our model, the critic learns to predict expected future rewards in real time. Its activity, together with actual rewards, conditions the delivery of a neuromodulatory TD signal to itself and to the actor, which is responsible for action choice. In simulations, we show that such an architecture can solve a Morris water-maze-like navigation task, in a number of trials consistent with reported animal performance. We also use our model to solve the acrobot and the cartpole problems, two complex motor control tasks. Our model provides a plausible way of computing reward prediction error in the brain. Moreover, the analytically derived learning rule is consistent with experimental evidence for dopamine-modulated spike-timing-dependent plasticity. PMID:23592970

  19. Reinforcement learning using a continuous time actor-critic framework with spiking neurons.

    PubMed

    Frémaux, Nicolas; Sprekeler, Henning; Gerstner, Wulfram

    2013-04-01

    Animals repeat rewarded behaviors, but the physiological basis of reward-based learning has only been partially elucidated. On one hand, experimental evidence shows that the neuromodulator dopamine carries information about rewards and affects synaptic plasticity. On the other hand, the theory of reinforcement learning provides a framework for reward-based learning. Recent models of reward-modulated spike-timing-dependent plasticity have made first steps towards bridging the gap between the two approaches, but faced two problems. First, reinforcement learning is typically formulated in a discrete framework, ill-adapted to the description of natural situations. Second, biologically plausible models of reward-modulated spike-timing-dependent plasticity require precise calculation of the reward prediction error, yet it remains to be shown how this can be computed by neurons. Here we propose a solution to these problems by extending the continuous temporal difference (TD) learning of Doya (2000) to the case of spiking neurons in an actor-critic network operating in continuous time, and with continuous state and action representations. In our model, the critic learns to predict expected future rewards in real time. Its activity, together with actual rewards, conditions the delivery of a neuromodulatory TD signal to itself and to the actor, which is responsible for action choice. In simulations, we show that such an architecture can solve a Morris water-maze-like navigation task, in a number of trials consistent with reported animal performance. We also use our model to solve the acrobot and the cartpole problems, two complex motor control tasks. Our model provides a plausible way of computing reward prediction error in the brain. Moreover, the analytically derived learning rule is consistent with experimental evidence for dopamine-modulated spike-timing-dependent plasticity.

  20. Learning Initiatives in the Residential Setting. The First-Year Experience Monograph Series No. 48

    ERIC Educational Resources Information Center

    Luna, Gene, Ed.; Gahagan, Jimmie, Ed.

    2008-01-01

    In 2004, "Learning Reconsidered" urged educators to think more holistically about student learning and development. "Learning Initiatives in the Residential Setting" provides a framework for putting this call into action at large universities and small colleges alike. Chapters trace the history of learning in residence halls, discuss academic and…

  1. How Multi-Levels of Individual and Team Learning Interact in a Public Healthcare Organisation: A Conceptual Framework

    ERIC Educational Resources Information Center

    Doyle, Louise; Kelliher, Felicity; Harrington, Denis

    2016-01-01

    The aim of this paper is to review the relevant literature on organisational learning and offer a preliminary conceptual framework as a basis to explore how the multi-levels of individual learning and team learning interact in a public healthcare organisation. The organisational learning literature highlights a need for further understanding of…

  2. Threat driven modeling framework using petri nets for e-learning system.

    PubMed

    Khamparia, Aditya; Pandey, Babita

    2016-01-01

    Vulnerabilities at various levels are main cause of security risks in e-learning system. This paper presents a modified threat driven modeling framework, to identify the threats after risk assessment which requires mitigation and how to mitigate those threats. To model those threat mitigations aspects oriented stochastic petri nets are used. This paper included security metrics based on vulnerabilities present in e-learning system. The Common Vulnerability Scoring System designed to provide a normalized method for rating vulnerabilities which will be used as basis in metric definitions and calculations. A case study has been also proposed which shows the need and feasibility of using aspect oriented stochastic petri net models for threat modeling which improves reliability, consistency and robustness of the e-learning system.

  3. ENGAGE: A Game Based Learning and Problem Solving Framework

    DTIC Science & Technology

    2012-08-15

    multiplayer card game Creature Capture now supports an offline multiplayer mode (sharing a single computer), in response to feedback from teachers that a...Planetopia overworld will be ready for use by a number of physical schools as well as integrated into multiple online teaching resources. The games will be...From - To) 7/1/2012 – 7/31/2012 4. TITLE AND SUBTITLE ENGAGE: A Game Based Learning and Problem Solving Framework 5a. CONTRACT NUMBER N/A 5b

  4. Proverbs as Theoretical Frameworks for Lifelong Learning in Indigenous African Education

    ERIC Educational Resources Information Center

    Avoseh, Mejai B. M.

    2013-01-01

    Every aspect of a community's life and values in indigenous Africa provide the theoretical framework for education. The holistic worldview of the traditional system places a strong emphasis on the centrality of the human element and orature in the symmetrical relationship between life and learning. This article focuses on proverbs and the words…

  5. Learn, see, practice, prove, do, maintain: an evidence-based pedagogical framework for procedural skill training in medicine.

    PubMed

    Sawyer, Taylor; White, Marjorie; Zaveri, Pavan; Chang, Todd; Ades, Anne; French, Heather; Anderson, JoDee; Auerbach, Marc; Johnston, Lindsay; Kessler, David

    2015-08-01

    Acquisition of competency in procedural skills is a fundamental goal of medical training. In this Perspective, the authors propose an evidence-based pedagogical framework for procedural skill training. The framework was developed based on a review of the literature using a critical synthesis approach and builds on earlier models of procedural skill training in medicine. The authors begin by describing the fundamentals of procedural skill development. Then, a six-step pedagogical framework for procedural skills training is presented: Learn, See, Practice, Prove, Do, and Maintain. In this framework, procedural skill training begins with the learner acquiring requisite cognitive knowledge through didactic education (Learn) and observation of the procedure (See). The learner then progresses to the stage of psychomotor skill acquisition and is allowed to deliberately practice the procedure on a simulator (Practice). Simulation-based mastery learning is employed to allow the trainee to prove competency prior to performing the procedure on a patient (Prove). Once competency is demonstrated on a simulator, the trainee is allowed to perform the procedure on patients with direct supervision, until he or she can be entrusted to perform the procedure independently (Do). Maintenance of the skill is ensured through continued clinical practice, supplemented by simulation-based training as needed (Maintain). Evidence in support of each component of the framework is presented. Implementation of the proposed framework presents a paradigm shift in procedural skill training. However, the authors believe that adoption of the framework will improve procedural skill training and patient safety.

  6. The Centre Cannot Hold: Untangling Two Different Trajectories of the "Approaches to Learning" Framework

    ERIC Educational Resources Information Center

    Tormey, Roland

    2014-01-01

    The "deep/surface approach to learning" framework is widely used in higher education. Its perceived strength is that it is regarded as having two functions: both being (1) a useful metaphor for development of teaching and learning in higher education and (2) a valid concept for researchers. In this paper, I present a critical review of…

  7. The Pursuit of a "Better" Explanation as an Organizing Framework for Science Teaching and Learning

    ERIC Educational Resources Information Center

    Papadouris, Nicos; Vokos, Stamatis; Constantinou, Constantinos P.

    2018-01-01

    This article seeks to make the case for the pursuit of a "better" explanation being a productive organizing framework for science teaching and learning. Underlying this position is the idea that this framework allows promoting, in a unified manner, facility with the scientific practice of constructing explanations, appreciation of its…

  8. Learning Clicks: Year End Report 2008/2009

    ERIC Educational Resources Information Center

    Alberta Advanced Education and Technology, 2009

    2009-01-01

    Learning Clicks was developed in 2003 as an interactive, fun way for Alberta students to learn about these opportunities. Learning Clicks is a program designed to support Strategy 2.4 in Alberta Advanced Education and Technology's 2007-10 Business Plan. The 2008/2009 season was the 5th year of the Learning Clicks program. This paper offers a…

  9. ActiveTutor: Towards More Adaptive Features in an E-Learning Framework

    ERIC Educational Resources Information Center

    Fournier, Jean-Pierre; Sansonnet, Jean-Paul

    2008-01-01

    Purpose: This paper aims to sketch the emerging notion of auto-adaptive software when applied to e-learning software. Design/methodology/approach: The study and the implementation of the auto-adaptive architecture are based on the operational framework "ActiveTutor" that is used for teaching the topic of computer science programming in first-grade…

  10. Technical Feasibility of a Mobile Context-Aware (Social) Learning Schedule Framework

    ERIC Educational Resources Information Center

    Yau, Jane Y. K.; Joy, Mike

    2013-01-01

    The purpose of this paper is to show the technical feasibility of implementing their mobile context-aware learning schedule (mCALS) framework as a software application on a mobile device using current technologies, prior to its actual implementation. This process draws a set of compatible mobile and context-aware technologies at present and can be…

  11. "Let's Count": Improving Community Approaches to Early Years Mathematics Learning, Teaching and Dispositions through Noticing, Exploring and Talking about Mathematics

    ERIC Educational Resources Information Center

    Perry, Bob; Hampshire, Ann; Gervaxoni, Ann; O'Neill, Will

    2016-01-01

    "Let's Count" is a preschool mathematics intervention implemented by The Smith Family from 2012 to the present in "disdvantaged" communities across Australia. It is based on current mathematics and early childhood education research and aligns with the Early Years Learning Framework. Let's Count has been shown to be effective…

  12. Envision and Observe: Using the Studio Thinking Framework for Learning and Teaching in Digital Arts

    ERIC Educational Resources Information Center

    Sheridan, Kimberly M.

    2011-01-01

    The Studio Thinking Framework (STF) focuses on habits of mind taught through studio arts rather than disciplinary content or media-specific techniques. It is well suited to integrate studies of arts learning and teaching in a range of contexts, and it provides a framework for understanding how visual arts participation is dramatically changing…

  13. A Symbiotic Framework for coupling Machine Learning and Geosciences in Prediction and Predictability

    NASA Astrophysics Data System (ADS)

    Ravela, S.

    2017-12-01

    In this presentation we review the two directions of a symbiotic relationship between machine learning and the geosciences in relation to prediction and predictability. In the first direction, we develop ensemble, information theoretic and manifold learning framework to adaptively improve state and parameter estimates in nonlinear high-dimensional non-Gaussian problems, showing in particular that tractable variational approaches can be produced. We demonstrate these applications in the context of autonomous mapping of environmental coherent structures and other idealized problems. In the reverse direction, we show that data assimilation, particularly probabilistic approaches for filtering and smoothing offer a novel and useful way to train neural networks, and serve as a better basis than gradient based approaches when we must quantify uncertainty in association with nonlinear, chaotic processes. In many inference problems in geosciences we seek to build reduced models to characterize local sensitivies, adjoints or other mechanisms that propagate innovations and errors. Here, the particular use of neural approaches for such propagation trained using ensemble data assimilation provides a novel framework. Through these two examples of inference problems in the earth sciences, we show that not only is learning useful to broaden existing methodology, but in reverse, geophysical methodology can be used to influence paradigms in learning.

  14. Use of the challenge point framework to guide motor learning of stepping reactions for improved balance control in people with stroke: a case series.

    PubMed

    Pollock, Courtney L; Boyd, Lara A; Hunt, Michael A; Garland, S Jayne

    2014-04-01

    Stepping reactions are important for walking balance and community-level mobility. Stepping reactions of people with stroke are characterized by slow reaction times, poor coordination of motor responses, and low amplitude of movements, which may contribute to their decreased ability to recover their balance when challenged. An important aspect of rehabilitation of mobility after stroke is optimizing the motor learning associated with retraining effective stepping reactions. The Challenge Point Framework (CPF) is a model that can be used to promote motor learning through manipulation of conditions of practice to modify task difficulty, that is, the interaction of the skill of the learner and the difficulty of the task to be learned. This case series illustrates how the retraining of multidirectional stepping reactions may be informed by the CPF to improve balance function in people with stroke. Four people (53-68 years of age) with chronic stroke (>1 year) and mild to moderate motor recovery received 4 weeks of multidirectional stepping reaction retraining. Important tenets of motor learning were optimized for each person during retraining in accordance with the CPF. Participants demonstrated improved community-level walking balance, as determined with the Community Balance and Mobility Scale. These improvements were evident 1 year later. Aspects of balance-related self-efficacy and movement kinematics also showed improvements during the course of the intervention. The application of CPF motor learning principles in the retraining of stepping reactions to improve community-level walking balance in people with chronic stroke appears to be promising. The CPF provides a plausible theoretical framework for the progression of functional task training in neurorehabilitation.

  15. Using Expectancy Value Theory as a Framework to Reduce Student Resistance to Active Learning: A Proof of Concept.

    PubMed

    Cooper, Katelyn M; Ashley, Michael; Brownell, Sara E

    2017-01-01

    There has been a national movement to transition college science courses from passive lectures to active learning environments. Active learning has been shown to be a more effective way for students to learn, yet there is concern that some students are resistant to active learning approaches. Although there is much discussion about student resistance to active learning, few studies have explored this topic. Furthermore, a limited number of studies have applied theoretical frameworks to student engagement in active learning. We propose using a theoretical lens of expectancy value theory to understand student resistance to active learning. In this study, we examined student perceptions of active learning after participating in 40 hours of active learning. We used the principal components of expectancy value theory to probe student experience in active learning: student perceived self-efficacy in active learning, value of active learning, and potential cost of participating in active learning. We found that students showed positive changes in the components of expectancy value theory and reported high levels of engagement in active learning, which provide proof of concept that expectancy value theory can be used to boost student perceptions of active learning and their engagement in active learning classrooms. From these findings, we have built a theoretical framework of expectancy value theory applied to active learning.

  16. A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs

    NASA Astrophysics Data System (ADS)

    Alzubaidi, Mohammad; Balasubramanian, Vineeth; Patel, Ameet; Panchanathan, Sethuraman; Black, John A., Jr.

    2012-03-01

    Inductive learning refers to machine learning algorithms that learn a model from a set of training data instances. Any test instance is then classified by comparing it to the learned model. When the set of training instances lend themselves well to modeling, the use of a model substantially reduces the computation cost of classification. However, some training data sets are complex, and do not lend themselves well to modeling. Transductive learning refers to machine learning algorithms that classify test instances by comparing them to all of the training instances, without creating an explicit model. This can produce better classification performance, but at a much higher computational cost. Medical images vary greatly across human populations, constituting a data set that does not lend itself well to modeling. Our previous work showed that the wide variations seen across training sets of "normal" chest radiographs make it difficult to successfully classify test radiographs with an inductive (modeling) approach, and that a transductive approach leads to much better performance in detecting atypical regions. The problem with the transductive approach is its high computational cost. This paper develops and demonstrates a novel semi-transductive framework that can address the unique challenges of atypicality detection in chest radiographs. The proposed framework combines the superior performance of transductive methods with the reduced computational cost of inductive methods. Our results show that the proposed semitransductive approach provides both effective and efficient detection of atypical regions within a set of chest radiographs previously labeled by Mayo Clinic expert thoracic radiologists.

  17. Universal Design for Learning: A Collaborative Framework for Designing Inclusive Curriculum

    ERIC Educational Resources Information Center

    Wu, Xiuwen

    2010-01-01

    The purpose of this article is twofold: (1) to introduce the concept of Universal Design for Learning (UDL) by going to its origination in the field of architecture--the Universal Design, in order to illustrate the inclusive nature of UDL; and (2) to shed light on one of the most important aspects of UDL--collaboration. The UDL framework provides…

  18. A Modified Importance-Performance Framework for Evaluating Recreation-Based Experiential Learning Programs

    ERIC Educational Resources Information Center

    Pitas, Nicholas; Murray, Alison; Olsen, Max; Graefe, Alan

    2017-01-01

    This article describes a modified importance-performance framework for use in evaluation of recreation-based experiential learning programs. Importance-performance analysis (IPA) provides an effective and readily applicable means of evaluating many programs, but the near universal satisfaction associated with recreation inhibits the use of IPA in…

  19. A framework for learning and planning against switching strategies in repeated games

    NASA Astrophysics Data System (ADS)

    Hernandez-Leal, Pablo; Munoz de Cote, Enrique; Sucar, L. Enrique

    2014-04-01

    Intelligent agents, human or artificial, often change their behaviour as they interact with other agents. For an agent to optimise its performance when interacting with such agents, it must be capable of detecting and adapting according to such changes. This work presents an approach on how to effectively deal with non-stationary switching opponents in a repeated game context. Our main contribution is a framework for online learning and planning against opponents that switch strategies. We present how two opponent modelling techniques work within the framework and prove the usefulness of the approach experimentally in the iterated prisoner's dilemma, when the opponent is modelled as an agent that switches between different strategies (e.g. TFT, Pavlov and Bully). The results of both models were compared against each other and against a state-of-the-art non-stationary reinforcement learning technique. Results reflect that our approach obtains competitive results without needing an offline training phase, as opposed to the state-of-the-art techniques.

  20. Parent Praise to 1-3 Year-Olds Predicts Children’s Motivational Frameworks 5 Years Later

    PubMed Central

    Gunderson, Elizabeth A.; Gripshover, Sarah J.; Romero, Carissa; Dweck, Carol S.; Goldin-Meadow, Susan; Levine, Susan C.

    2013-01-01

    In laboratory studies, praising children’s effort encourages them to adopt incremental motivational frameworks—they believe ability is malleable, attribute success to hard work, enjoy challenges, and generate strategies for improvement. In contrast, praising children’s inherent abilities encourages them to adopt fixed-ability frameworks. Does the praise parents spontaneously give children at home show the same effects? Although parents’ early praise of inherent characteristics was not associated with children’s later fixed-ability frameworks, parents’ praise of children’s effort at 14-38 months (N=53) did predict incremental frameworks at 7-8 years, suggesting that causal mechanisms identified in experimental work may be operating in home environments. PMID:23397904

  1. Self-Regulated Learning: The Continuous-Change Conceptual Framework and a Vision of New Paradigm, Technology System, and Pedagogical Support

    ERIC Educational Resources Information Center

    Huh, Yeol; Reigeluth, Charles M.

    2017-01-01

    A modified conceptual framework called the Continuous-Change Framework for self-regulated learning (SRL) is presented. Common elements and limitations among the past frameworks are discussed in relation to the modified conceptual framework. The iterative nature of the goal setting process and overarching presence of self-efficacy and motivational…

  2. Application of Resource Description Framework to Personalise Learning: Systematic Review and Methodology

    ERIC Educational Resources Information Center

    Jevsikova, Tatjana; Berniukevicius, Andrius; Kurilovas, Eugenijus

    2017-01-01

    The paper is aimed to present a methodology of learning personalisation based on applying Resource Description Framework (RDF) standard model. Research results are two-fold: first, the results of systematic literature review on Linked Data, RDF "subject-predicate-object" triples, and Web Ontology Language (OWL) application in education…

  3. Mobile-Assisted Second Language Learning: Developing a Learner-Centered Framework

    ERIC Educational Resources Information Center

    Leow, Choy Khim; Yahaya, Wan Ahmad Jaafar Wan; Samsudin, Zarina

    2014-01-01

    The Mobile Assisted Language Learning concept has offered infinite language learning opportunities since its inception 20 years ago. Second Language Acquisition however embraces a considerably different body of knowledge from first language learning. While technological advances have optimized the psycholinguistic environment for language…

  4. Learning to Cook: Production Learning Environment in Kitchens

    ERIC Educational Resources Information Center

    James, Susan

    2006-01-01

    Learning in workplaces is neither ad hoc nor informal. Such labels are a misnomer and do not do justice to the highly-structured nature and complexity of many workplaces where learning takes place. This article discusses the organisational and structural framework developed from a three-year doctoral study into how apprentice chefs construct their…

  5. Defining a risk-informed framework for whole-of-government lessons learned: A Canadian perspective.

    PubMed

    Friesen, Shaye K; Kelsey, Shelley; Legere, J A Jim

    Lessons learned play an important role in emergency management (EM) and organizational agility. Virtually all aspects of EM can derive benefit from a lessons learned program. From major security events to exercises, exploiting and applying lessons learned and "best practices" is critical to organizational resilience and adaptiveness. A robust lessons learned process and methodology provides an evidence base with which to inform decisions, guide plans, strengthen mitigation strategies, and assist in developing tools for operations. The Canadian Safety and Security Program recently supported a project to define a comprehensive framework that would allow public safety and security partners to regularly share event response best practices, and prioritize recommendations originating from after action reviews. This framework consists of several inter-locking elements: a comprehensive literature review/environmental scan of international programs; a survey to collect data from end users and management; the development of a taxonomy for organizing and structuring information; a risk-informed methodology for selecting, prioritizing, and following through on recommendations; and standardized templates and tools for tracking recommendations and ensuring implementation. This article discusses the efforts of the project team, which provided "best practice" advice and analytical support to ensure that a systematic approach to lessons learned was taken by the federal community to improve prevention, preparedness, and response activities. It posits an approach by which one might design a systematic process for information sharing and event response coordination-an approach that will assist federal departments to institutionalize a cross-government lessons learned program.

  6. Using Expectancy Value Theory as a Framework to Reduce Student Resistance to Active Learning: A Proof of Concept

    PubMed Central

    Cooper, Katelyn M.; Ashley, Michael; Brownell, Sara E.

    2017-01-01

    There has been a national movement to transition college science courses from passive lectures to active learning environments. Active learning has been shown to be a more effective way for students to learn, yet there is concern that some students are resistant to active learning approaches. Although there is much discussion about student resistance to active learning, few studies have explored this topic. Furthermore, a limited number of studies have applied theoretical frameworks to student engagement in active learning. We propose using a theoretical lens of expectancy value theory to understand student resistance to active learning. In this study, we examined student perceptions of active learning after participating in 40 hours of active learning. We used the principal components of expectancy value theory to probe student experience in active learning: student perceived self-efficacy in active learning, value of active learning, and potential cost of participating in active learning. We found that students showed positive changes in the components of expectancy value theory and reported high levels of engagement in active learning, which provide proof of concept that expectancy value theory can be used to boost student perceptions of active learning and their engagement in active learning classrooms. From these findings, we have built a theoretical framework of expectancy value theory applied to active learning. PMID:28861130

  7. A Framework for Evaluating and Enhancing Alignment in Self-Regulated Learning Research

    ERIC Educational Resources Information Center

    Dent, Amy L.; Hoyle, Rick H.

    2015-01-01

    We discuss the articles of this special issue with reference to an important yet previously only implicit dimension of study quality: alignment across the theoretical and methodological decisions that collectively define an approach to self-regulated learning. Integrating and extending work by leaders in the field, we propose a framework for…

  8. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications

    PubMed Central

    Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram

    2016-01-01

    Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks’ back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps’ detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies. PMID:26978523

  9. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.

    PubMed

    Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram

    2016-01-01

    Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies.

  10. Learning from instructional explanations: effects of prompts based on the active-constructive-interactive framework.

    PubMed

    Roelle, Julian; Müller, Claudia; Roelle, Detlev; Berthold, Kirsten

    2015-01-01

    Although instructional explanations are commonly provided when learners are introduced to new content, they often fail because they are not integrated into effective learning activities. The recently introduced active-constructive-interactive framework posits an effectiveness hierarchy in which interactive learning activities are at the top; these are then followed by constructive and active learning activities, respectively. Against this background, we combined instructional explanations with different types of prompts that were designed to elicit these learning activities and tested the central predictions of the active-constructive-interactive framework. In Experiment 1, N = 83 students were randomly assigned to one of four combinations of instructional explanations and prompts. To test the active < constructive learning hypothesis, the learners received either (1) complete explanations and engaging prompts designed to elicit active activities or (2) explanations that were reduced by inferences and inference prompts designed to engage learners in constructing the withheld information. Furthermore, in order to explore how interactive learning activities can be elicited, we gave the learners who had difficulties in constructing the prompted inferences adapted remedial explanations with either (3) unspecific engaging prompts or (4) revision prompts. In support of the active < constructive learning hypothesis, we found that the learners who received reduced explanations and inference prompts outperformed the learners who received complete explanations and engaging prompts. Moreover, revision prompts were more effective in eliciting interactive learning activities than engaging prompts. In Experiment 2, N = 40 students were randomly assigned to either (1) a reduced explanations and inference prompts or (2) a reduced explanations and inference prompts plus adapted remedial explanations and revision prompts condition. In support of the constructive < interactive

  11. Learning from Instructional Explanations: Effects of Prompts Based on the Active-Constructive-Interactive Framework

    PubMed Central

    Roelle, Julian; Müller, Claudia; Roelle, Detlev; Berthold, Kirsten

    2015-01-01

    Although instructional explanations are commonly provided when learners are introduced to new content, they often fail because they are not integrated into effective learning activities. The recently introduced active-constructive-interactive framework posits an effectiveness hierarchy in which interactive learning activities are at the top; these are then followed by constructive and active learning activities, respectively. Against this background, we combined instructional explanations with different types of prompts that were designed to elicit these learning activities and tested the central predictions of the active-constructive-interactive framework. In Experiment 1, N = 83 students were randomly assigned to one of four combinations of instructional explanations and prompts. To test the active < constructive learning hypothesis, the learners received either (1) complete explanations and engaging prompts designed to elicit active activities or (2) explanations that were reduced by inferences and inference prompts designed to engage learners in constructing the withheld information. Furthermore, in order to explore how interactive learning activities can be elicited, we gave the learners who had difficulties in constructing the prompted inferences adapted remedial explanations with either (3) unspecific engaging prompts or (4) revision prompts. In support of the active < constructive learning hypothesis, we found that the learners who received reduced explanations and inference prompts outperformed the learners who received complete explanations and engaging prompts. Moreover, revision prompts were more effective in eliciting interactive learning activities than engaging prompts. In Experiment 2, N = 40 students were randomly assigned to either (1) a reduced explanations and inference prompts or (2) a reduced explanations and inference prompts plus adapted remedial explanations and revision prompts condition. In support of the constructive < interactive

  12. Active Learning Framework for Non-Intrusive Load Monitoring: Preprint

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

    Jin, Xin

    2016-05-16

    Non-Intrusive Load Monitoring (NILM) is a set of techniques that estimate the electricity usage of individual appliances from power measurements taken at a limited number of locations in a building. One of the key challenges in NILM is having too much data without class labels yet being unable to label the data manually for cost or time constraints. This paper presents an active learning framework that helps existing NILM techniques to overcome this challenge. Active learning is an advanced machine learning method that interactively queries a user for the class label information. Unlike most existing NILM systems that heuristically requestmore » user inputs, the proposed method only needs minimally sufficient information from a user to build a compact and yet highly representative load signature library. Initial results indicate the proposed method can reduce the user inputs by up to 90% while still achieving similar disaggregation performance compared to a heuristic method. Thus, the proposed method can substantially reduce the burden on the user, improve the performance of a NILM system with limited user inputs, and overcome the key market barriers to the wide adoption of NILM technologies.« less

  13. A framework for porting the NeuroBayes machine learning algorithm to FPGAs

    NASA Astrophysics Data System (ADS)

    Baehr, S.; Sander, O.; Heck, M.; Feindt, M.; Becker, J.

    2016-01-01

    The NeuroBayes machine learning algorithm is deployed for online data reduction at the pixel detector of Belle II. In order to test, characterize and easily adapt its implementation on FPGAs, a framework was developed. Within the framework an HDL model, written in python using MyHDL, is used for fast exploration of possible configurations. Under usage of input data from physics simulations figures of merit like throughput, accuracy and resource demand of the implementation are evaluated in a fast and flexible way. Functional validation is supported by usage of unit tests and HDL simulation for chosen configurations.

  14. Factors Influencing the Use of Learning Management System in Saudi Arabian Higher Education: A Theoretical Framework

    ERIC Educational Resources Information Center

    Asiri, Mohammed J. Sherbib; Mahmud, Rosnaini bt; Bakar, Kamariah Abu; Ayub, Ahmad Fauzi bin Mohd

    2012-01-01

    The purpose of this paper is to present the theoretical framework underlying a research on factors that influence utilization of the Jusur Learning Management System (Jusur LMS) in Saudi Arabian public universities. Development of the theoretical framework was done based on library research approach. Initially, the existing literature relevant to…

  15. A Machine LearningFramework to Forecast Wave Conditions

    NASA Astrophysics Data System (ADS)

    Zhang, Y.; James, S. C.; O'Donncha, F.

    2017-12-01

    Recently, significant effort has been undertaken to quantify and extract wave energy because it is renewable, environmental friendly, abundant, and often close to population centers. However, a major challenge is the ability to accurately and quickly predict energy production, especially across a 48-hour cycle. Accurate forecasting of wave conditions is a challenging undertaking that typically involves solving the spectral action-balance equation on a discretized grid with high spatial resolution. The nature of the computations typically demands high-performance computing infrastructure. Using a case-study site at Monterey Bay, California, a machine learning framework was trained to replicate numerically simulated wave conditions at a fraction of the typical computational cost. Specifically, the physics-based Simulating WAves Nearshore (SWAN) model, driven by measured wave conditions, nowcast ocean currents, and wind data, was used to generate training data for machine learning algorithms. The model was run between April 1st, 2013 and May 31st, 2017 generating forecasts at three-hour intervals yielding 11,078 distinct model outputs. SWAN-generated fields of 3,104 wave heights and a characteristic period could be replicated through simple matrix multiplications using the mapping matrices from machine learning algorithms. In fact, wave-height RMSEs from the machine learning algorithms (9 cm) were less than those for the SWAN model-verification exercise where those simulations were compared to buoy wave data within the model domain (>40 cm). The validated machine learning approach, which acts as an accurate surrogate for the SWAN model, can now be used to perform real-time forecasts of wave conditions for the next 48 hours using available forecasted boundary wave conditions, ocean currents, and winds. This solution has obvious applications to wave-energy generation as accurate wave conditions can be forecasted with over a three-order-of-magnitude reduction in

  16. Teachers' Cloud-Based Learning Designs: The Development of a Guiding Rubric Using the TPACK Framework

    ERIC Educational Resources Information Center

    Al-Harthi, Aisha Salim Ali; Campbell, Chris; Karimi, Arafeh

    2018-01-01

    This study aimed to develop, validate, and trial a rubric for evaluating the cloud-based learning designs (CBLD) that were developed by teachers using virtual learning environments. The rubric was developed using the technological pedagogical content knowledge (TPACK) framework, with rubric development including content and expert validation of…

  17. Teacher Competencies for the Implementation of Collaborative Learning in the Classroom: A Framework and Research Review

    ERIC Educational Resources Information Center

    Kaendler, Celia; Wiedmann, Michael; Rummel, Nikol; Spada, Hans

    2015-01-01

    This article describes teacher competencies for implementing collaborative learning in the classroom. Research has shown that the effectiveness of collaborative learning largely depends on the quality of student interaction. We therefore focus on what a "teacher" can do to foster student interaction. First, we present a framework that…

  18. A Conceptual Framework for the Cultural Integration of Cooperative Learning: A Thai Primary Mathematics Education Perspective

    ERIC Educational Resources Information Center

    Park, Ji Yong; Nuntrakune, Tippawan

    2013-01-01

    The Thailand education reform adopted cooperative learning to improve the quality of education. However, it has been reported that the introduction and maintenance of cooperative learning has been difficult and uncertain because of the cultural differences. The study proposed a conceptual framework developed based on making a connection between…

  19. Birth to Three Matters: A Framework to Support Children in Their Earliest Years

    ERIC Educational Resources Information Center

    Abbott, Lesley; Langston, Ann

    2005-01-01

    Government commitment to the care and education of children from birth to three years in England led to the commissioning in 2001 of "a framework of best practice" (DfEE, 2001:24) to support children in their earliest years. The resulting framework of "effective" practice, together with supporting materials, was developed by a…

  20. Planning and Implementation Framework for a Hybrid E-Learning Model: The Context of a Part-Time LIS Postgraduate Programme

    ERIC Educational Resources Information Center

    Huang, Leelien Ken

    2010-01-01

    E-learning and traditional classroom learning have been combined to deliver library and information science (LIS) education. However, the framework for planning and implementing a hybrid e-learning model is unclear in the literature. Using a routines-based perspective, e-learning opportunities were explored through identifying the internal…

  1. A Route for Every Learner: Universal Design for Learning (UDL) as a Framework for Supporting Learning and Improving Achievement for All Learners in Maryland, Prekindergarten through Higher Education

    ERIC Educational Resources Information Center

    Maryland State Department of Education, 2011

    2011-01-01

    Universal Design for Learning (UDL) is a framework for curriculum design, instruction, and assessment that gives all students equal opportunities to learn and to demonstrate what they have learned. UDL is built on the premise that there is not one kind of learning. Learning differs across tasks, across development, and among individuals. UDL is…

  2. SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media.

    PubMed

    Liu, Jing; Zhao, Songzheng; Wang, Gang

    2018-01-01

    With the development of Web 2.0 technology, social media websites have become lucrative but under-explored data sources for extracting adverse drug events (ADEs), which is a serious health problem. Besides ADE, other semantic relation types (e.g., drug indication and beneficial effect) could hold between the drug and adverse event mentions, making ADE relation extraction - distinguishing ADE relationship from other relation types - necessary. However, conducting ADE relation extraction in social media environment is not a trivial task because of the expertise-dependent, time-consuming and costly annotation process, and the feature space's high-dimensionality attributed to intrinsic characteristics of social media data. This study aims to develop a framework for ADE relation extraction using patient-generated content in social media with better performance than that delivered by previous efforts. To achieve the objective, a general semi-supervised ensemble learning framework, SSEL-ADE, was developed. The framework exploited various lexical, semantic, and syntactic features, and integrated ensemble learning and semi-supervised learning. A series of experiments were conducted to verify the effectiveness of the proposed framework. Empirical results demonstrate the effectiveness of each component of SSEL-ADE and reveal that our proposed framework outperforms most of existing ADE relation extraction methods The SSEL-ADE can facilitate enhanced ADE relation extraction performance, thereby providing more reliable support for pharmacovigilance. Moreover, the proposed semi-supervised ensemble methods have the potential of being applied to effectively deal with other social media-based problems. Copyright © 2017 Elsevier B.V. All rights reserved.

  3. A probabilistic model framework for evaluating year-to-year variation in crop productivity

    NASA Astrophysics Data System (ADS)

    Yokozawa, M.; Iizumi, T.; Tao, F.

    2008-12-01

    Most models describing the relation between crop productivity and weather condition have so far been focused on mean changes of crop yield. For keeping stable food supply against abnormal weather as well as climate change, evaluating the year-to-year variations in crop productivity rather than the mean changes is more essential. We here propose a new framework of probabilistic model based on Bayesian inference and Monte Carlo simulation. As an example, we firstly introduce a model on paddy rice production in Japan. It is called PRYSBI (Process- based Regional rice Yield Simulator with Bayesian Inference; Iizumi et al., 2008). The model structure is the same as that of SIMRIW, which was developed and used widely in Japan. The model includes three sub- models describing phenological development, biomass accumulation and maturing of rice crop. These processes are formulated to include response nature of rice plant to weather condition. This model inherently was developed to predict rice growth and yield at plot paddy scale. We applied it to evaluate the large scale rice production with keeping the same model structure. Alternatively, we assumed the parameters as stochastic variables. In order to let the model catch up actual yield at larger scale, model parameters were determined based on agricultural statistical data of each prefecture of Japan together with weather data averaged over the region. The posterior probability distribution functions (PDFs) of parameters included in the model were obtained using Bayesian inference. The MCMC (Markov Chain Monte Carlo) algorithm was conducted to numerically solve the Bayesian theorem. For evaluating the year-to-year changes in rice growth/yield under this framework, we firstly iterate simulations with set of parameter values sampled from the estimated posterior PDF of each parameter and then take the ensemble mean weighted with the posterior PDFs. We will also present another example for maize productivity in China. The

  4. Intergenerational Learning at a Nature Center: Families Using Prior Experiences and Participation Frameworks to Understand Raptors

    ERIC Educational Resources Information Center

    Zimmerman, Heather Toomey; McClain, Lucy Richardson

    2014-01-01

    Using a sociocultural framework to approach intergenerational learning, this inquiry examines learning processes used by families during visits to one nature center. Data were collected from videotaped observations of families participating in an environmental education program and a follow-up task to draw the habitat of raptors. Based on a…

  5. A framework for teaching medical students and residents about practice-based learning and improvement, synthesized from a literature review.

    PubMed

    Ogrinc, Greg; Headrick, Linda A; Mutha, Sunita; Coleman, Mary T; O'Donnell, Joseph; Miles, Paul V

    2003-07-01

    To create a framework for teaching the knowledge and skills of practice-based learning and improvement to medical students and residents based on proven, effective strategies. The authors conducted a Medline search of English-language articles published between 1996 and May 2001, using the term "quality improvement" (QI), and cross-matched it with "medical education" and "health professions education." A thematic-synthesis method of review was used to compile the information from the articles. Based on the literature review, an expert panel recommended educational objectives for practice-based learning and improvement. Twenty-seven articles met the inclusion criteria. The majority of studies were conducted in academic medical centers and medical schools and 40% addressed experiential learning of QI. More than 75% were qualitative case reports capturing educational outcomes, and 7% included an experimental study design. The expert panel integrated data from the literature review with the Dreyfus model of professional skill acquisition, the Institute for Healthcare Improvement's (IHI) knowledge domains for improving health care, and the ACGME competencies and generated a framework of core educational objectives about teaching practice-based learning and improvement to medical students and residents. Teaching the knowledge and skills of practice-based learning and improvement to medical students and residents is a necessary and important foundation for improving patient care. The authors present a framework of learning objectives-informed by the literature and synthesized by the expert panel-to assist educational leaders when integrating these objectives into a curriculum. This framework serves as a blueprint to bridge the gap between current knowledge and future practice needs.

  6. Blended Learning Educational Format for Third-Year Pediatrics Clinical Rotation.

    PubMed

    Langenau, Erik E; Lee, Robert; Fults, Marci

    2017-04-01

    Traditional medical education is shifting to incorporate learning technologies and online educational activities with traditional face-to-face clinical instruction to engage students, especially at remote clinical training sites. To describe and evaluate the effectiveness of the blended learning format (combining online and face-to-face instruction) for third-year osteopathic medical students during their pediatric rotation. Third-year medical students who completed the 4-week clerkship in pediatrics during the 2014-2015 academic year were divided into a standard learning group and a blended learning group with online activities (discussion boards, blogs, virtual patient encounters, narrated video presentations, and online training modules). Comprehensive Osteopathic Medical Achievement Test scores and final course grades were compared between the standard learning and blended learning groups. Students in the blended learning group completed a postsurvey regarding their experiences. Of 264 third-year students who completed the 4-week clerkship in pediatrics during the 2014-2015 academic year, 78 (29.5%) participated in the blended learning supplement with online activities. Of 53 students who completed the postsurvey in the blended learning group, 44 (83.0%) agreed or strongly agreed that "The integration of e-learning and face-to-face learning helped me learn pediatrics." Open-ended comments supported this overall satisfaction with the course format; however, 26 of 100 comments reflected a desire to increase the amount of clinical exposure and face-to-face time with patients. No statistical differences were seen between the standard learning (n=186) and blended learning (n=78) groups with regard to Comprehensive Osteopathic Medical Achievement Test scores (P=.321). Compared with the standard learning group, more students in the blended learning group received a final course grade of honors (P=.015). Results of this study support the use of blended learning in a

  7. Blended Learning: The Perceptions of First-Year Geography Students

    ERIC Educational Resources Information Center

    Mitchell, Phillipa; Forer, Pip

    2010-01-01

    Focusing on "Digital Worlds", a first-year geography blended learning course at the University of Auckland, this paper gives voice to the students, examining how they perceived e-learning versus traditional learning mechanisms; how e-learning mechanisms have affected their learning behaviour; and why certain e-learning mechanisms offered…

  8. A Competence-Based Science Learning Framework Illustrated Through the Study of Natural Hazards and Disaster Risk Reduction

    NASA Astrophysics Data System (ADS)

    Oyao, Sheila G.; Holbrook, Jack; Rannikmäe, Miia; Pagunsan, Marmon M.

    2015-09-01

    This article proposes a competence-based learning framework for science teaching, applied to the study of 'big ideas', in this case to the study of natural hazards and disaster risk reduction (NH&DRR). The framework focuses on new visions of competence, placing emphasis on nurturing connectedness and behavioral actions toward resilience and sustainability. The framework draws together competences familiarly expressed as cognitive knowledge and skills, plus dispositions and adds connectedness and action-related behaviors, and applies this by means of a progression shift associated with NH&DRR from abilities to capabilities. The target is enhanced scientific literacy approached through an education through science focus, amplified through the study of a big idea, promotion of sustained resilience in the face of disaster and the taking of responsibilities for behavioral actions. The framework is applied to a learning progression for each interrelated education dimension, thus serving as a guide for both the development of abilities and as a platform for stimulating student capabilities within instruction and assessment.

  9. Applying a Constructivist-Developmental Practice-Based Learning Framework to the Recreation Internship Experience

    ERIC Educational Resources Information Center

    Craig, Patricia J.; Sable, Janet R.

    2011-01-01

    The recreation internship is one of the most critical components of professional preparation education, yet educators have done little to explore the experience from a constructivist-developmental growth perspective. This article presents a practice-based learning framework that shows promise for fostering moral development among recreation…

  10. A deep learning and novelty detection framework for rapid phenotyping in high-content screening

    PubMed Central

    Sommer, Christoph; Hoefler, Rudolf; Samwer, Matthias; Gerlich, Daniel W.

    2017-01-01

    Supervised machine learning is a powerful and widely used method for analyzing high-content screening data. Despite its accuracy, efficiency, and versatility, supervised machine learning has drawbacks, most notably its dependence on a priori knowledge of expected phenotypes and time-consuming classifier training. We provide a solution to these limitations with CellCognition Explorer, a generic novelty detection and deep learning framework. Application to several large-scale screening data sets on nuclear and mitotic cell morphologies demonstrates that CellCognition Explorer enables discovery of rare phenotypes without user training, which has broad implications for improved assay development in high-content screening. PMID:28954863

  11. Quantum-assisted Helmholtz machines: A quantum–classical deep learning framework for industrial datasets in near-term devices

    NASA Astrophysics Data System (ADS)

    Benedetti, Marcello; Realpe-Gómez, John; Perdomo-Ortiz, Alejandro

    2018-07-01

    Machine learning has been presented as one of the key applications for near-term quantum technologies, given its high commercial value and wide range of applicability. In this work, we introduce the quantum-assisted Helmholtz machine:a hybrid quantum–classical framework with the potential of tackling high-dimensional real-world machine learning datasets on continuous variables. Instead of using quantum computers only to assist deep learning, as previous approaches have suggested, we use deep learning to extract a low-dimensional binary representation of data, suitable for processing on relatively small quantum computers. Then, the quantum hardware and deep learning architecture work together to train an unsupervised generative model. We demonstrate this concept using 1644 quantum bits of a D-Wave 2000Q quantum device to model a sub-sampled version of the MNIST handwritten digit dataset with 16 × 16 continuous valued pixels. Although we illustrate this concept on a quantum annealer, adaptations to other quantum platforms, such as ion-trap technologies or superconducting gate-model architectures, could be explored within this flexible framework.

  12. Use of a machine learning framework to predict substance use disorder treatment success.

    PubMed

    Acion, Laura; Kelmansky, Diana; van der Laan, Mark; Sahker, Ethan; Jones, DeShauna; Arndt, Stephan

    2017-01-01

    There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitates this decision by combining all identified prediction algorithms pertinent for a particular prediction problem. SL generates a final model that is at least as good as any of the other models considered for predicting the outcome. The overarching aim of this work is to introduce SL to analysts and practitioners. This work compares the performance of logistic regression, penalized regression, random forests, deep learning neural networks, and SL to predict successful substance use disorders (SUD) treatment. A nationwide database including 99,013 SUD treatment patients was used. All algorithms were evaluated using the area under the receiver operating characteristic curve (AUC) in a test sample that was not included in the training sample used to fit the prediction models. AUC for the models ranged between 0.793 and 0.820. SL was superior to all but one of the algorithms compared. An explanation of SL steps is provided. SL is the first step in targeted learning, an analytic framework that yields double robust effect estimation and inference with fewer assumptions than the usual parametric methods. Different aspects of SL depending on the context, its function within the targeted learning framework, and the benefits of this methodology in the addiction field are discussed.

  13. Use of a machine learning framework to predict substance use disorder treatment success

    PubMed Central

    Kelmansky, Diana; van der Laan, Mark; Sahker, Ethan; Jones, DeShauna; Arndt, Stephan

    2017-01-01

    There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitates this decision by combining all identified prediction algorithms pertinent for a particular prediction problem. SL generates a final model that is at least as good as any of the other models considered for predicting the outcome. The overarching aim of this work is to introduce SL to analysts and practitioners. This work compares the performance of logistic regression, penalized regression, random forests, deep learning neural networks, and SL to predict successful substance use disorders (SUD) treatment. A nationwide database including 99,013 SUD treatment patients was used. All algorithms were evaluated using the area under the receiver operating characteristic curve (AUC) in a test sample that was not included in the training sample used to fit the prediction models. AUC for the models ranged between 0.793 and 0.820. SL was superior to all but one of the algorithms compared. An explanation of SL steps is provided. SL is the first step in targeted learning, an analytic framework that yields double robust effect estimation and inference with fewer assumptions than the usual parametric methods. Different aspects of SL depending on the context, its function within the targeted learning framework, and the benefits of this methodology in the addiction field are discussed. PMID:28394905

  14. Controlling misses and false alarms in a machine learning framework for predicting uniformity of printed pages

    NASA Astrophysics Data System (ADS)

    Nguyen, Minh Q.; Allebach, Jan P.

    2015-01-01

    In our previous work1 , we presented a block-based technique to analyze printed page uniformity both visually and metrically. The features learned from the models were then employed in a Support Vector Machine (SVM) framework to classify the pages into one of the two categories of acceptable and unacceptable quality. In this paper, we introduce a set of tools for machine learning in the assessment of printed page uniformity. This work is primarily targeted to the printing industry, specifically the ubiquitous laser, electrophotographic printer. We use features that are well-correlated with the rankings of expert observers to develop a novel machine learning framework that allows one to achieve the minimum "false alarm" rate, subject to a chosen "miss" rate. Surprisingly, most of the research that has been conducted on machine learning does not consider this framework. During the process of developing a new product, test engineers will print hundreds of test pages, which can be scanned and then analyzed by an autonomous algorithm. Among these pages, most may be of acceptable quality. The objective is to find the ones that are not. These will provide critically important information to systems designers, regarding issues that need to be addressed in improving the printer design. A "miss" is defined to be a page that is not of acceptable quality to an expert observer that the prediction algorithm declares to be a "pass". Misses are a serious problem, since they represent problems that will not be seen by the systems designers. On the other hand, "false alarms" correspond to pages that an expert observer would declare to be of acceptable quality, but which are flagged by the prediction algorithm as "fails". In a typical printer testing and development scenario, such pages would be examined by an expert, and found to be of acceptable quality after all. "False alarm" pages result in extra pages to be examined by expert observers, which increases labor cost. But "false

  15. Occupancy schedules learning process through a data mining framework

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

    D'Oca, Simona; Hong, Tianzhen

    Building occupancy is a paramount factor in building energy simulations. Specifically, lighting, plug loads, HVAC equipment utilization, fresh air requirements and internal heat gain or loss greatly depends on the level of occupancy within a building. Developing the appropriate methodologies to describe and reproduce the intricate network responsible for human-building interactions are needed. Extrapolation of patterns from big data streams is a powerful analysis technique which will allow for a better understanding of energy usage in buildings. A three-step data mining framework is applied to discover occupancy patterns in office spaces. First, a data set of 16 offices with 10more » minute interval occupancy data, over a two year period is mined through a decision tree model which predicts the occupancy presence. Then a rule induction algorithm is used to learn a pruned set of rules on the results from the decision tree model. Finally, a cluster analysis is employed in order to obtain consistent patterns of occupancy schedules. Furthermore, the identified occupancy rules and schedules are representative as four archetypal working profiles that can be used as input to current building energy modeling programs, such as EnergyPlus or IDA-ICE, to investigate impact of occupant presence on design, operation and energy use in office buildings.« less

  16. Occupancy schedules learning process through a data mining framework

    DOE PAGES

    D'Oca, Simona; Hong, Tianzhen

    2014-12-17

    Building occupancy is a paramount factor in building energy simulations. Specifically, lighting, plug loads, HVAC equipment utilization, fresh air requirements and internal heat gain or loss greatly depends on the level of occupancy within a building. Developing the appropriate methodologies to describe and reproduce the intricate network responsible for human-building interactions are needed. Extrapolation of patterns from big data streams is a powerful analysis technique which will allow for a better understanding of energy usage in buildings. A three-step data mining framework is applied to discover occupancy patterns in office spaces. First, a data set of 16 offices with 10more » minute interval occupancy data, over a two year period is mined through a decision tree model which predicts the occupancy presence. Then a rule induction algorithm is used to learn a pruned set of rules on the results from the decision tree model. Finally, a cluster analysis is employed in order to obtain consistent patterns of occupancy schedules. Furthermore, the identified occupancy rules and schedules are representative as four archetypal working profiles that can be used as input to current building energy modeling programs, such as EnergyPlus or IDA-ICE, to investigate impact of occupant presence on design, operation and energy use in office buildings.« less

  17. Exploring Students' Experiences in First-Year Learning Communities from a Situated Learning Perspective

    ERIC Educational Resources Information Center

    Priest, Kerry L.; Saucier, Donald A.; Eiselein, Gregory

    2016-01-01

    This study looked to situated learning (Lave & Wenger, 1991) in order to explore students' participation in the social practices of first-year learning communities. Wenger's (1998) elaboration on "communities of practice" provides insight into how such participation transforms learners. These perspectives frame learning as a…

  18. Structural Priming as Learning: Evidence from Mandarin-Learning 5-Year-Olds

    ERIC Educational Resources Information Center

    Hsu, Dong-Bo

    2014-01-01

    Three experiments on structural priming in Mandarin-speaking 5-year-olds were conducted to test the priming as implicit learning hypothesis. It describes a learning mechanism that acts on a shared abstract syntactic representation in response to linguistic input using an equi-biased Mandarin SVO-"ba" alternation. The first two…

  19. The Predictive Relationship among the Community of Inquiry Framework, Perceived Learning and Online, and Graduate Students' Course Grades in Online Synchronous and Asynchronous Courses

    ERIC Educational Resources Information Center

    Rockinson-Szapkiw, Amanda J.; Wendt, Jillian; Wighting, Mervyn; Nisbet, Deanna

    2016-01-01

    The Community of Inquiry framework has been widely supported by research to provide a model of online learning that informs the design and implementation of distance learning courses. However, the relationship between elements of the CoI framework and perceived learning warrants further examination as a predictive model for online graduate student…

  20. A deep learning framework for financial time series using stacked autoencoders and long-short term memory.

    PubMed

    Bao, Wei; Yue, Jun; Rao, Yulei

    2017-01-01

    The application of deep learning approaches to finance has received a great deal of attention from both investors and researchers. This study presents a novel deep learning framework where wavelet transforms (WT), stacked autoencoders (SAEs) and long-short term memory (LSTM) are combined for stock price forecasting. The SAEs for hierarchically extracted deep features is introduced into stock price forecasting for the first time. The deep learning framework comprises three stages. First, the stock price time series is decomposed by WT to eliminate noise. Second, SAEs is applied to generate deep high-level features for predicting the stock price. Third, high-level denoising features are fed into LSTM to forecast the next day's closing price. Six market indices and their corresponding index futures are chosen to examine the performance of the proposed model. Results show that the proposed model outperforms other similar models in both predictive accuracy and profitability performance.

  1. A Competence-Based Science Learning Framework Illustrated through the Study of Natural Hazards and Disaster Risk Reduction

    ERIC Educational Resources Information Center

    Oyao, Sheila G.; Holbrook, Jack; Rannikmäe, Miia; Pagunsan, Marmon M.

    2015-01-01

    This article proposes a competence-based learning framework for science teaching, applied to the study of "big ideas", in this case to the study of natural hazards and disaster risk reduction (NH&DRR). The framework focuses on new visions of competence, placing emphasis on nurturing connectedness and behavioral actions toward…

  2. Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.

    PubMed

    Kagawa, Rina; Kawazoe, Yoshimasa; Ida, Yusuke; Shinohara, Emiko; Tanaka, Katsuya; Imai, Takeshi; Ohe, Kazuhiko

    2017-07-01

    Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotyping has been increasing. Some existing phenotyping algorithms are not sufficiently accurate for screening or identifying clinical research subjects. We propose a practical phenotyping framework using both expert knowledge and a machine learning approach to develop 2 phenotyping algorithms: one is for screening; the other is for identifying research subjects. We employ expert knowledge as rules to exclude obvious control patients and machine learning to increase accuracy for complicated patients. We developed phenotyping algorithms on the basis of our framework and performed binary classification to determine whether a patient has T2DM. To facilitate development of practical phenotyping algorithms, this study introduces new evaluation metrics: area under the precision-sensitivity curve (AUPS) with a high sensitivity and AUPS with a high positive predictive value. The proposed phenotyping algorithms based on our framework show higher performance than baseline algorithms. Our proposed framework can be used to develop 2 types of phenotyping algorithms depending on the tuning approach: one for screening, the other for identifying research subjects. We develop a novel phenotyping framework that can be easily implemented on the basis of proper evaluation metrics, which are in accordance with users' objectives. The phenotyping algorithms based on our framework are useful for extraction of T2DM patients in retrospective studies.

  3. Learning Spaces Framework: Learning in an Online World

    ERIC Educational Resources Information Center

    Ministerial Council on Education, Employment, Training and Youth Affairs (NJ1), 2008

    2008-01-01

    "Contemporary learning--learning in an online world" describes the integrated nature of the highly technological world in which young people live and learn. A key priority is to design learning spaces that integrate technologies: engaging students in ways not previously possible; creating new learning and teaching possibilities;…

  4. What and how do students learn in an interprofessional student-run clinic? An educational framework for team-based care.

    PubMed

    Lie, Désirée A; Forest, Christopher P; Walsh, Anne; Banzali, Yvonne; Lohenry, Kevin

    2016-01-01

    The student-run clinic (SRC) has the potential to address interprofessional learning among health professions students. To derive a framework for understanding student learning during team-based care provided in an interprofessional SRC serving underserved patients. The authors recruited students for a focus group study by purposive sampling and snowballing. They constructed two sets of semi-structured questions for uniprofessional and multiprofessional groups. Sessions were audiotaped, and transcripts were independently coded and adjudicated. Major themes about learning content and processes were extracted. Grounded theory was followed after data synthesis and interpretation to establish a framework for interprofessional learning. Thirty-six students from four professions (medicine, physician assistant, occupational therapy, and pharmacy) participated in eight uniprofessional groups; 14 students participated in three multiprofessional groups (N = 50). Theme saturation was achieved. Six common themes about learning content from uniprofessional groups were role recognition, team-based care appreciation, patient experience, advocacy-/systems-based models, personal skills, and career choices. Occupational therapy students expressed self-advocacy, and medical students expressed humility and self-discovery. Synthesis of themes from all groups suggests a learning continuum that begins with the team huddle and continues with shared patient care and social interactions. Opportunity to observe and interact with other professions in action is key to the learning process. Interprofessional SRC participation promotes learning 'with, from, and about' each other. Participation challenges misconceptions and sensitizes students to patient experiences, health systems, advocacy, and social responsibility. Learning involves interprofessional interactions in the patient encounter, reinforced by formal and informal communications. Participation is associated with interest in serving

  5. 10-Year Framework of Programmes on Sustainable Consumption and Production

    EPA Pesticide Factsheets

    One of the important programmatic outcomes from the U.N. Conference on Sustainable Development (Rio+20) was the adoption of the 10-Year Framework of Programmes (10YFP) on Sustainable Consumption and Production (SCP).

  6. Antecedences to Continued Intentions of Adopting E-Learning System in Blended Learning Instruction: A Contingency Framework Based on Models of Information System Success and Task-Technology Fit

    ERIC Educational Resources Information Center

    Lin, Wen-Shan; Wang, Chun-Hsien

    2012-01-01

    The objective of this study is to propose a research framework that investigates the relation between perceived fit and system factors that can motivate learners in continuing utilizing an e-learning system in blended learning instruction. As learners have the face-to-face learning opportunity in interacting with lecturers, the study aims at…

  7. Using the 4MAT Framework to Design a Problem-Based Learning Biostatistics Course

    ERIC Educational Resources Information Center

    Nowacki, Amy S.

    2011-01-01

    The study presents and applies the 4MAT theoretical framework to educational planning to transform a biostatistics course into a problem-based learning experience. Using a four-question approach, described are specific activities/materials utilized at both the class and course levels. Two web-based instruments collected data regarding student…

  8. Regulating approaches to learning: Testing learning strategy convergences across a year at university.

    PubMed

    Fryer, Luke K; Vermunt, Jan D

    2018-03-01

    Contemporary models of student learning within higher education are often inclusive of processing and regulation strategies. Considerable research has examined their use over time and their (person-centred) convergence. The longitudinal stability/variability of learning strategy use, however, is poorly understood, but essential to supporting student learning across university experiences. Develop and test a person-centred longitudinal model of learning strategies across the first-year university experience. Japanese university students (n = 933) completed surveys (deep and surface approaches to learning; self, external, and lack of regulation) at the beginning and end of their first year. Following invariance and cross-sectional tests, latent profile transition analysis (LPTA) was undertaken. Initial difference testing supported small but significant differences for self-/external regulation. Fit indices supported a four-group model, consistent across both measurement points. These subgroups were labelled Low Quality (low deep approaches and self-regulation), Low Quantity (low strategy use generally), Average (moderate strategy use), and High Quantity (intense use of all strategies) strategies. The stability of these groups ranged from stable to variable: Average (93% stayers), Low Quality (90% stayers), High Quantity (72% stayers), and Low Quantity (40% stayers). The three largest transitions presented joint shifts in processing/regulation strategy preference across the year, from adaptive to maladaptive and vice versa. Person-centred longitudinal findings presented patterns of learning transitions that different students experience during their first year at university. Stability/variability of students' strategy use was linked to the nature of initial subgroup membership. Findings also indicated strong connections between processing and regulation strategy changes across first-year university experiences. Implications for theory and practice are discussed.

  9. Creating an outcomes framework.

    PubMed

    Doerge, J B

    2000-01-01

    Four constructs used to build a framework for outcomes management for a large midwestern tertiary hospital are described in this article. A system framework outlining a model of clinical integration and population management based in Steven Shortell's work is discussed. This framework includes key definitions of high-risk patients, target groups, populations and community. Roles for each level of population management and how they were implemented in the health care system are described. A point of service framework centered on seven dimensions of care is the next construct applied on each nursing unit. The third construct outlines the framework for role development. Three roles for nursing were created to implement strategies for target groups that are strategic disease categories; two of those roles are described in depth. The philosophy of nursing practice is centered on caring and existential advocacy. The final construct is the modification of the Dartmouth model as a common framework for outcomes. System applications of the scorecard and lessons learned in the 2-year process of implementation are shared

  10. Towards the Implementation of an Assessment-Centred Blended Learning Framework at the Course Level: A Case Study in a Vietnamese National University

    ERIC Educational Resources Information Center

    Nguyen, Viet Anh

    2017-01-01

    Purpose: The purpose of this paper is to build an assessment-centred blended learning (BL) framework to assess learners, to analyse and to evaluate the impact of the technology support in the form of formative assessment in students' positive learning. Design/methodology/approach: This research proposed an assessment-centred BL framework at the…

  11. A Framework for Addressing Skeptics' Claims Using Evidence-Based Argumentation: Lessons Learned from Educational Research

    NASA Astrophysics Data System (ADS)

    Lambert, J. L.; Bleicher, R. E.; Edwards, A.; Henderson, A.

    2012-12-01

    In science education, climate change is an issue that is especially useful for teaching concepts spanning several fields of science, as well the nature and practices of science. In response, we are developing a NASA-funded curriculum, titled Climate Science Investigations (CSI): South Florida, that teaches high school and first-year undergraduate level students how to analyze and use scientific data answer questions about climate change. To create an effective curriculum, we integrated lessons learned from our educational research conducted within our elementary science methods courses (Lambert, Lindgren, & Bleicher, 2012). For the past few years, we have been integrating climate science in our courses as a way to teach standards across several science disciplines and assessing our preservice teachers' gains in knowledge over the semesters. More recently, given the media attention and reports on the public's shift in opinion toward being more skeptical (Kellstedt, Zahran, & Vedlitz, 2008; Washington & Cook, 2011), we have assessed our students' perceptions about climate change and implemented strategies to help students use evidence-based scientific argumentation to address common claims of climate skeptics. In our elementary science methods courses, we framed climate change as a crosscutting theme, as well as a core idea, in the Next Generation Science Standards. We proposed that the issue and science of climate change would help preservice teachers not only become more interested in the topic, but also be more prepared to teach core science concepts spanning several disciplines (physical, life, and earth sciences). We also thought that highlighting the "practice of scientific inquiry" by teaching students to develop evidence-based arguments would help the preservice teachers become more analytical and able to differentiate scientific evidence from opinions, which could ultimately influence their perceptions on climate change. Lessons learned from our preservice

  12. The impact of learning communities on interpersonal relationships among medical students

    PubMed Central

    Champaloux, Eve Privman; Keeley, Meg G.

    2016-01-01

    Background Medical students at the University of Virginia (UVA) are mentored and learn within the framework of a four college learning community. Uniquely, these learning communities are used to organize the third-year clerkship rotations. Methods Students were surveyed after their first pre-clinical year and after their clerkship year to determine what the effect of the learning community was on their social and educational interpersonal relationships. Results Students knew a higher percentage of their college mates after completing their third-year clerkships within the framework of the college system. Students chose peers from within the college system for social and educational interpersonal scenarios statistically more often than what would be expected at random. Small group learning environments that were not formed within the framework of the college system at UVA did not have the same effect on interpersonal relationships, indicating that learning communities are uniquely able to provide a context for relationship building. Students felt more positively about the social and educational effects of the college system after the clerkship year, with a corresponding increase in the strength of their interpersonal bonds with their college peers. Conclusion This work is the first to investigate the effects of learning communities on interpersonal relationships among medical students and finds that learning communities positively impact both social and educational medical student bonds. PMID:27806828

  13. The impact of learning communities on interpersonal relationships among medical students.

    PubMed

    Champaloux, Eve Privman; Keeley, Meg G

    2016-01-01

    Medical students at the University of Virginia (UVA) are mentored and learn within the framework of a four college learning community. Uniquely, these learning communities are used to organize the third-year clerkship rotations. Students were surveyed after their first pre-clinical year and after their clerkship year to determine what the effect of the learning community was on their social and educational interpersonal relationships. Students knew a higher percentage of their college mates after completing their third-year clerkships within the framework of the college system. Students chose peers from within the college system for social and educational interpersonal scenarios statistically more often than what would be expected at random. Small group learning environments that were not formed within the framework of the college system at UVA did not have the same effect on interpersonal relationships, indicating that learning communities are uniquely able to provide a context for relationship building. Students felt more positively about the social and educational effects of the college system after the clerkship year, with a corresponding increase in the strength of their interpersonal bonds with their college peers. This work is the first to investigate the effects of learning communities on interpersonal relationships among medical students and finds that learning communities positively impact both social and educational medical student bonds.

  14. Pedagogy Redefined: Frameworks of Learning Approaches Prevalent in the Current Digital Information Age

    ERIC Educational Resources Information Center

    AlFuqaha, Isam Najib

    2013-01-01

    This paper attempts to delineate the frameworks of learner-centered vis-à-vis teacher-centered processes of learning prevalent in the second decade of the twenty-first century. It defines the pedagogical changes that have emerged due to the development of delivery technologies, and the interrelations among teachers, students, and knowledge. The…

  15. A deep learning framework for financial time series using stacked autoencoders and long-short term memory

    PubMed Central

    Bao, Wei; Rao, Yulei

    2017-01-01

    The application of deep learning approaches to finance has received a great deal of attention from both investors and researchers. This study presents a novel deep learning framework where wavelet transforms (WT), stacked autoencoders (SAEs) and long-short term memory (LSTM) are combined for stock price forecasting. The SAEs for hierarchically extracted deep features is introduced into stock price forecasting for the first time. The deep learning framework comprises three stages. First, the stock price time series is decomposed by WT to eliminate noise. Second, SAEs is applied to generate deep high-level features for predicting the stock price. Third, high-level denoising features are fed into LSTM to forecast the next day’s closing price. Six market indices and their corresponding index futures are chosen to examine the performance of the proposed model. Results show that the proposed model outperforms other similar models in both predictive accuracy and profitability performance. PMID:28708865

  16. Developing and Evaluating a Technology Enhanced Interaction Framework and Method That Can Enhance the Accessibility of Mobile Learning

    ERIC Educational Resources Information Center

    Angkananon, Kewalin; Wald, Mike; Gilbert, Lester

    2014-01-01

    This paper focuses on the development and evaluation of a Technology Enhanced Interaction Framework and Method that can help with designing accessible mobile learning interactions involving disabled people. This new framework and method were developed to help design technological support for communication and interactions between people,…

  17. Learning Skills Workshops Supporting First-Year Courses

    ERIC Educational Resources Information Center

    Grills, Sheilagh

    2017-01-01

    Student Services support, including learning skills assistance, can be integral in empowering learners. First-year students are expected to be self-directed in their learning, yet may have neither been challenged nor experienced negative consequences for a lack of perseverance. Academic skills professionals can be partners with teaching faculty in…

  18. ECRIF Framework System

    ERIC Educational Resources Information Center

    Tosuncuoglu, Irfan

    2017-01-01

    English is an international language-it is already known by everybody. There have been a lot of ideas and discussions about foreign language learning. And nowadays we have met the framework of ECRIF. It is shortly a framework to help students learn new language and skills so that they can use them fluently and, it has to do with adopting a more…

  19. Higher Education Journals as Didactic Frameworks

    ERIC Educational Resources Information Center

    Keiding, Tina Bering; Qvortrup, Ane

    2018-01-01

    During the last 20 years, we have witnessed a growing interest in research in teaching, learning and educational development in higher education (HE). The result is that "Higher Education Didactics" has established itself as a research field in its own right. This article explores Higher Education Didactics as a framework for academics'…

  20. Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework.

    PubMed

    El-Assady, Mennatallah; Sevastjanova, Rita; Sperrle, Fabian; Keim, Daniel; Collins, Christopher

    2018-01-01

    Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a modular visual analytics framework, tackling the understandability and adaptability of topic models through a user-driven reinforcement learning process which does not require a deep understanding of the underlying topic modeling algorithms. Given a document corpus, our approach initializes two algorithm configurations based on a parameter space analysis that enhances document separability. We abstract the model complexity in an interactive visual workspace for exploring the automatic matching results of two models, investigating topic summaries, analyzing parameter distributions, and reviewing documents. The main contribution of our work is an iterative decision-making technique in which users provide a document-based relevance feedback that allows the framework to converge to a user-endorsed topic distribution. We also report feedback from a two-stage study which shows that our technique results in topic model quality improvements on two independent measures.

  1. The Year We Learned to Collaborate

    ERIC Educational Resources Information Center

    Silva, Janice; Contreras, Kathia

    2011-01-01

    In 2008-09, Colegio Ingles had a watershed year in terms of teachers learning to enhance one another's skills. Beneath a deceptively congenial surface, teachers at this Mexican preK-9th grade school were avoiding professional confrontations and rarely observed one another's classes or shared teaching solutions and innovations. That same year, the…

  2. A general-purpose machine learning framework for predicting properties of inorganic materials

    DOE PAGES

    Ward, Logan; Agrawal, Ankit; Choudhary, Alok; ...

    2016-08-26

    A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data. While prior examples have demonstrated successful models for some applications, many more applications exist where machine learning can make a strong impact. To enable faster development of machine-learning-based models for such applications, we have created a framework capable of being applied to a broad range of materials data. Our method works by using a chemically diverse list of attributes, which we demonstrate are suitable for describing a wide variety of properties, and a novel method formore » partitioning the data set into groups of similar materials to boost the predictive accuracy. In this manuscript, we demonstrate how this new method can be used to predict diverse properties of crystalline and amorphous materials, such as band gap energy and glass-forming ability.« less

  3. A general-purpose machine learning framework for predicting properties of inorganic materials

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

    Ward, Logan; Agrawal, Ankit; Choudhary, Alok

    A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data. While prior examples have demonstrated successful models for some applications, many more applications exist where machine learning can make a strong impact. To enable faster development of machine-learning-based models for such applications, we have created a framework capable of being applied to a broad range of materials data. Our method works by using a chemically diverse list of attributes, which we demonstrate are suitable for describing a wide variety of properties, and a novel method formore » partitioning the data set into groups of similar materials to boost the predictive accuracy. In this manuscript, we demonstrate how this new method can be used to predict diverse properties of crystalline and amorphous materials, such as band gap energy and glass-forming ability.« less

  4. Communicating Feedback in Teaching Practice Supervision in a Learning-Oriented Field Experience Assessment Framework

    ERIC Educational Resources Information Center

    Tang, Sylvia Yee Fang; Chow, Alice Wai Kwan

    2007-01-01

    This article seeks to understand the ways in which feedback was communicated in post-observation conferences in teaching practice supervision within the learning-oriented field experience assessment (LOFEA) framework. 32 post-observation conferences between 21 pairs of supervisors and participants of in-service teacher education programmes, and…

  5. Chaordic Systems Thinking: Some Suggestions for a Complexity Framework to Inform a Learning Organization

    ERIC Educational Resources Information Center

    van Eijnatten, Frans M.

    2004-01-01

    This contribution suggests a conceptual framework for using complexity to understand human interactions in learning organizations. The particular lens adopted for this purpose is that of the Chaos perspective. The following general concepts are described: discontinuous growth, attractors: their basins and landscapes, the chaordic properties of…

  6. Blogs and Social Network Sites as Activity Systems: Exploring Adult Informal Learning Process through Activity Theory Framework

    ERIC Educational Resources Information Center

    Heo, Gyeong Mi; Lee, Romee

    2013-01-01

    This paper uses an Activity Theory framework to explore adult user activities and informal learning processes as reflected in their blogs and social network sites (SNS). Using the assumption that a web-based space is an activity system in which learning occurs, typical features of the components were investigated and each activity system then…

  7. Elemental Learning as a Framework for E-Learning

    ERIC Educational Resources Information Center

    Dempsey, John V.; Litchfield, Brenda C.

    2013-01-01

    Analysis of learning outcomes can be a complex and esoteric instructional design process that is often ignored by educators and e-learning designers. This paper describes a model of analysis that fosters the real-life application of learning outcomes and explains why the model may be needed. The Elemental Learning taxonomy is a hierarchical model…

  8. Teaching Leadership to First-Year Students in a Learning Community

    ERIC Educational Resources Information Center

    Nahavandi, Afsaneh

    2006-01-01

    This paper discusses a model for teaching leadership to first-year students as part of a learning community. It outlines the purpose and structure of the course and presents ideas for how different disciplines could be combined with leadership in learning communities. Teaching leadership to first-year students as part of a learning community…

  9. Design, Implementation and Validation of a Europe-Wide Pedagogical Framework for E-Learning

    ERIC Educational Resources Information Center

    Granic, Andrina; Mifsud, Charles; Cukusic, Maja

    2009-01-01

    Within the context of a Europe-wide project UNITE, a number of European partners set out to design, implement and validate a pedagogical framework (PF) for e- and m-Learning in secondary schools. The process of formulating and testing the PF was an evolutionary one that reflected the experiences and skills of the various European partners and…

  10. A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval.

    PubMed

    Yang, Liu; Jin, Rong; Mummert, Lily; Sukthankar, Rahul; Goode, Adam; Zheng, Bin; Hoi, Steven C H; Satyanarayanan, Mahadev

    2010-01-01

    Similarity measurement is a critical component in content-based image retrieval systems, and learning a good distance metric can significantly improve retrieval performance. However, despite extensive study, there are several major shortcomings with the existing approaches for distance metric learning that can significantly affect their application to medical image retrieval. In particular, "similarity" can mean very different things in image retrieval: resemblance in visual appearance (e.g., two images that look like one another) or similarity in semantic annotation (e.g., two images of tumors that look quite different yet are both malignant). Current approaches for distance metric learning typically address only one goal without consideration of the other. This is problematic for medical image retrieval where the goal is to assist doctors in decision making. In these applications, given a query image, the goal is to retrieve similar images from a reference library whose semantic annotations could provide the medical professional with greater insight into the possible interpretations of the query image. If the system were to retrieve images that did not look like the query, then users would be less likely to trust the system; on the other hand, retrieving images that appear superficially similar to the query but are semantically unrelated is undesirable because that could lead users toward an incorrect diagnosis. Hence, learning a distance metric that preserves both visual resemblance and semantic similarity is important. We emphasize that, although our study is focused on medical image retrieval, the problem addressed in this work is critical to many image retrieval systems. We present a boosting framework for distance metric learning that aims to preserve both visual and semantic similarities. The boosting framework first learns a binary representation using side information, in the form of labeled pairs, and then computes the distance as a weighted Hamming

  11. E-learning for healthcare students: developing the communities of practice framework.

    PubMed

    Moule, Pam

    2006-05-01

    This paper presents research considering whether healthcare students were able to develop characteristics of communities of practice when engaged in an online module. Little is known about whether the communities of practice framework can be applied to online learning, with no previous consideration of its potential use within healthcare education. Using a case study approach the research, completed in 2004, had two phases. A questionnaire was administered to a group of 109 healthcare students to gain information on which to base sampling for the subsequent phase. Phase 2 employed three strands of data collection: five students completed an online diary, the online interactions of seven students were captured on a discussion board and three students were interviewed. Data were analysed using a form of pattern matching. Students were able to develop essential elements of communities of practice: mutual engagement, joint enterprise and shared repertoire, though this was not uniformly seen. Particular issues emerged for the online community, including enabling access to the online environment to support mutual engagement. The development of trust was also threatened by difficulties of presenting identities online. Joint enterprise was hampered by the online situation, although the virtual classroom proved essential for supporting endeavour. Not all students were committed to their groups. There was some evidence of group members developing shared repertoire, as routines of group working emerged. Professional understanding and computer skills were also enhanced. The framework can be applied to supporting online learning internationally amongst students and has applicability to professional groups. Those intending to employ the framework should ensure that students can gain access to the community and have the computer skills to engage. Course design should be considered to ensure support for developing the essential components of communities of practice.

  12. Learning framework of “Integrating Techniques” for Solving Problems and Its Empirical Application in Doctoral Course in Mechanical Engineering

    NASA Astrophysics Data System (ADS)

    Otsuka, Yuichi; Ohta, Kazuhide; Noguchi, Hiroshi

    The 21st century Center of Excellence (COE) program in Department of Mechanical Engineering Science at Kyushu University construct the training framework of learning “Integrating Techniques” by research presentations for students in different majors and accident analyses for practical cases by Ph.D course students. The training framework is composed of three processes : 1) Peer review among Ph.D course students for the presentations, 2) Instructions by teachers in order to improve the quality of the presentations based on the result of the peer-reviews, 3) Final evaluation for the improved presentations by teachers and the students. This research has elucidated the quantitative effectiveness of the framework by the evaluations using questionnaires for the presentations. Furthermore, the result of investigation for the course students has observed positive correlation between the significance of integration techniques and the enthusiasm for participating the course, which reveals the efficacy of the learning framework proposed.

  13. What and how do students learn in an interprofessional student-run clinic? An educational framework for team-based care

    PubMed Central

    Lie, Désirée A.; Forest, Christopher P.; Walsh, Anne; Banzali, Yvonne; Lohenry, Kevin

    2016-01-01

    Background The student-run clinic (SRC) has the potential to address interprofessional learning among health professions students. Purpose To derive a framework for understanding student learning during team-based care provided in an interprofessional SRC serving underserved patients. Methods The authors recruited students for a focus group study by purposive sampling and snowballing. They constructed two sets of semi-structured questions for uniprofessional and multiprofessional groups. Sessions were audiotaped, and transcripts were independently coded and adjudicated. Major themes about learning content and processes were extracted. Grounded theory was followed after data synthesis and interpretation to establish a framework for interprofessional learning. Results Thirty-six students from four professions (medicine, physician assistant, occupational therapy, and pharmacy) participated in eight uniprofessional groups; 14 students participated in three multiprofessional groups (N = 50). Theme saturation was achieved. Six common themes about learning content from uniprofessional groups were role recognition, team-based care appreciation, patient experience, advocacy-/systems-based models, personal skills, and career choices. Occupational therapy students expressed self-advocacy, and medical students expressed humility and self-discovery. Synthesis of themes from all groups suggests a learning continuum that begins with the team huddle and continues with shared patient care and social interactions. Opportunity to observe and interact with other professions in action is key to the learning process. Discussion Interprofessional SRC participation promotes learning ‘with, from, and about’ each other. Participation challenges misconceptions and sensitizes students to patient experiences, health systems, advocacy, and social responsibility. Learning involves interprofessional interactions in the patient encounter, reinforced by formal and informal communications

  14. What and how do students learn in an interprofessional student-run clinic? An educational framework for team-based care.

    PubMed

    Lie, Désirée A; Forest, Christopher P; Walsh, Anne; Banzali, Yvonne; Lohenry, Kevin

    2016-01-01

    Background The student-run clinic (SRC) has the potential to address interprofessional learning among health professions students. Purpose To derive a framework for understanding student learning during team-based care provided in an interprofessional SRC serving underserved patients. Methods The authors recruited students for a focus group study by purposive sampling and snowballing. They constructed two sets of semi-structured questions for uniprofessional and multiprofessional groups. Sessions were audiotaped, and transcripts were independently coded and adjudicated. Major themes about learning content and processes were extracted. Grounded theory was followed after data synthesis and interpretation to establish a framework for interprofessional learning. Results Thirty-six students from four professions (medicine, physician assistant, occupational therapy, and pharmacy) participated in eight uniprofessional groups; 14 students participated in three multiprofessional groups (N = 50). Theme saturation was achieved. Six common themes about learning content from uniprofessional groups were role recognition, team-based care appreciation, patient experience, advocacy-/systems-based models, personal skills, and career choices. Occupational therapy students expressed self-advocacy, and medical students expressed humility and self-discovery. Synthesis of themes from all groups suggests a learning continuum that begins with the team huddle and continues with shared patient care and social interactions. Opportunity to observe and interact with other professions in action is key to the learning process. Discussion Interprofessional SRC participation promotes learning 'with, from, and about' each other. Participation challenges misconceptions and sensitizes students to patient experiences, health systems, advocacy, and social responsibility. Learning involves interprofessional interactions in the patient encounter, reinforced by formal and informal communications

  15. Developing an integrated framework of problem-based learning and coaching psychology for medical education: a participatory research.

    PubMed

    Wang, Qing; Li, Huiping; Pang, Weiguo; Liang, Shuo; Su, Yiliang

    2016-01-05

    Medical schools have been making efforts to develop their own problem-based learning (PBL) approaches based on their educational conditions, human resources and existing curriculum structures. This study aimed to explore a new framework by integrating the essential features of PBL and coaching psychology applicable to the undergraduate medical education context. A participatory research design was employed. Four educational psychology researchers, eight undergraduate medical school students and two accredited PBL tutors participated in a four-month research programme. Data were collected through participatory observation, focus groups, semi-structured interviews, workshop documents and feedback surveys and then subjected to thematic content analysis. The triangulation of sources and member checking were used to ensure the credibility and trustworthiness of the research process. Five themes emerged from the analysis: current experience of PBL curriculum; the roles of and relationships between tutors and students; student group dynamics; development of self-directed learning; and coaching in PBL facilitation. On the basis of this empirical data, a systematic model of PBL and coaching psychology was developed. The findings highlighted that coaching psychology could be incorporated into the facilitation system in PBL. The integrated framework of PBL and coaching psychology in undergraduate medical education has the potential to promote the development of the learning goals of cultivating clinical reasoning ability, lifelong learning capacities and medical humanity. Challenges, benefits and future directions for implementing the framework are discussed in this paper.

  16. Language Educational Policy and Language Learning Quality Management: The "Common European Framework of Reference"

    ERIC Educational Resources Information Center

    Barenfanger, Olaf; Tschirner, Erwin

    2008-01-01

    The major goal of the Council of Europe to promote and facilitate communication and interaction among Europeans of different mother tongues has led to the development of the "Common European Framework of Reference for Languages: Learning, Teaching, Assessment" (CEFR). Among other things, the CEFR is intended to help language…

  17. A Critical Review of the Use of Wenger's Community of Practice (CoP) Theoretical Framework in Online and Blended Learning Research, 2000-2014

    ERIC Educational Resources Information Center

    Smith, Sedef Uzuner; Hayes, Suzanne; Shea, Peter

    2017-01-01

    After presenting a brief overview of the key elements that underpin Etienne Wenger's communities of practice (CoP) theoretical framework, one of the most widely cited and influential conceptions of social learning, this paper reviews extant empirical work grounded in this framework to investigate online/blended learning in higher education and in…

  18. A Personalized e-Learning Framework

    ERIC Educational Resources Information Center

    Alhawiti, Mohammed M.; Abdelhamid, Yasser

    2017-01-01

    With the advent of web based learning and content management tools, e-learning has become a matured learning paradigm, and changed the trend of instructional design from instructor centric learning paradigm to learner centric approach, and evolved from "one instructional design for many learners" to "one design for one learner"…

  19. Computer-assisted framework for machine-learning-based delineation of GTV regions on datasets of planning CT and PET/CT images.

    PubMed

    Ikushima, Koujiro; Arimura, Hidetaka; Jin, Ze; Yabu-Uchi, Hidetake; Kuwazuru, Jumpei; Shioyama, Yoshiyuki; Sasaki, Tomonari; Honda, Hiroshi; Sasaki, Masayuki

    2017-01-01

    We have proposed a computer-assisted framework for machine-learning-based delineation of gross tumor volumes (GTVs) following an optimum contour selection (OCS) method. The key idea of the proposed framework was to feed image features around GTV contours (determined based on the knowledge of radiation oncologists) into a machine-learning classifier during the training step, after which the classifier produces the 'degree of GTV' for each voxel in the testing step. Initial GTV regions were extracted using a support vector machine (SVM) that learned the image features inside and outside each tumor region (determined by radiation oncologists). The leave-one-out-by-patient test was employed for training and testing the steps of the proposed framework. The final GTV regions were determined using the OCS method that can be used to select a global optimum object contour based on multiple active delineations with a LSM around the GTV. The efficacy of the proposed framework was evaluated in 14 lung cancer cases [solid: 6, ground-glass opacity (GGO): 4, mixed GGO: 4] using the 3D Dice similarity coefficient (DSC), which denotes the degree of region similarity between the GTVs contoured by radiation oncologists and those determined using the proposed framework. The proposed framework achieved an average DSC of 0.777 for 14 cases, whereas the OCS-based framework produced an average DSC of 0.507. The average DSCs for GGO and mixed GGO were 0.763 and 0.701, respectively, obtained by the proposed framework. The proposed framework can be employed as a tool to assist radiation oncologists in delineating various GTV regions. © The Author 2016. Published by Oxford University Press on behalf of The Japan Radiation Research Society and Japanese Society for Radiation Oncology.

  20. Noise-aware dictionary-learning-based sparse representation framework for detection and removal of single and combined noises from ECG signal

    PubMed Central

    Ramkumar, Barathram; Sabarimalai Manikandan, M.

    2017-01-01

    Automatic electrocardiogram (ECG) signal enhancement has become a crucial pre-processing step in most ECG signal analysis applications. In this Letter, the authors propose an automated noise-aware dictionary learning-based generalised ECG signal enhancement framework which can automatically learn the dictionaries based on the ECG noise type for effective representation of ECG signal and noises, and can reduce the computational load of sparse representation-based ECG enhancement system. The proposed framework consists of noise detection and identification, noise-aware dictionary learning, sparse signal decomposition and reconstruction. The noise detection and identification is performed based on the moving average filter, first-order difference, and temporal features such as number of turning points, maximum absolute amplitude, zerocrossings, and autocorrelation features. The representation dictionary is learned based on the type of noise identified in the previous stage. The proposed framework is evaluated using noise-free and noisy ECG signals. Results demonstrate that the proposed method can significantly reduce computational load as compared with conventional dictionary learning-based ECG denoising approaches. Further, comparative results show that the method outperforms existing methods in automatically removing noises such as baseline wanders, power-line interference, muscle artefacts and their combinations without distorting the morphological content of local waves of ECG signal. PMID:28529758

  1. Noise-aware dictionary-learning-based sparse representation framework for detection and removal of single and combined noises from ECG signal.

    PubMed

    Satija, Udit; Ramkumar, Barathram; Sabarimalai Manikandan, M

    2017-02-01

    Automatic electrocardiogram (ECG) signal enhancement has become a crucial pre-processing step in most ECG signal analysis applications. In this Letter, the authors propose an automated noise-aware dictionary learning-based generalised ECG signal enhancement framework which can automatically learn the dictionaries based on the ECG noise type for effective representation of ECG signal and noises, and can reduce the computational load of sparse representation-based ECG enhancement system. The proposed framework consists of noise detection and identification, noise-aware dictionary learning, sparse signal decomposition and reconstruction. The noise detection and identification is performed based on the moving average filter, first-order difference, and temporal features such as number of turning points, maximum absolute amplitude, zerocrossings, and autocorrelation features. The representation dictionary is learned based on the type of noise identified in the previous stage. The proposed framework is evaluated using noise-free and noisy ECG signals. Results demonstrate that the proposed method can significantly reduce computational load as compared with conventional dictionary learning-based ECG denoising approaches. Further, comparative results show that the method outperforms existing methods in automatically removing noises such as baseline wanders, power-line interference, muscle artefacts and their combinations without distorting the morphological content of local waves of ECG signal.

  2. Learning Physics-based Models in Hydrology under the Framework of Generative Adversarial Networks

    NASA Astrophysics Data System (ADS)

    Karpatne, A.; Kumar, V.

    2017-12-01

    Generative adversarial networks (GANs), that have been highly successful in a number of applications involving large volumes of labeled and unlabeled data such as computer vision, offer huge potential for modeling the dynamics of physical processes that have been traditionally studied using simulations of physics-based models. While conventional physics-based models use labeled samples of input/output variables for model calibration (estimating the right parametric forms of relationships between variables) or data assimilation (identifying the most likely sequence of system states in dynamical systems), there is a greater opportunity to explore the full power of machine learning (ML) methods (e.g, GANs) for studying physical processes currently suffering from large knowledge gaps, e.g. ground-water flow. However, success in this endeavor requires a principled way of combining the strengths of ML methods with physics-based numerical models that are founded on a wealth of scientific knowledge. This is especially important in scientific domains like hydrology where the number of data samples is small (relative to Internet-scale applications such as image recognition where machine learning methods has found great success), and the physical relationships are complex (high-dimensional) and non-stationary. We will present a series of methods for guiding the learning of GANs using physics-based models, e.g., by using the outputs of physics-based models as input data to the generator-learner framework, and by using physics-based models as generators trained using validation data in the adversarial learning framework. These methods are being developed under the broad paradigm of theory-guided data science that we are developing to integrate scientific knowledge with data science methods for accelerating scientific discovery.

  3. Architectural frameworks: defining the structures for implementing learning health systems.

    PubMed

    Lessard, Lysanne; Michalowski, Wojtek; Fung-Kee-Fung, Michael; Jones, Lori; Grudniewicz, Agnes

    2017-06-23

    The vision of transforming health systems into learning health systems (LHSs) that rapidly and continuously transform knowledge into improved health outcomes at lower cost is generating increased interest in government agencies, health organizations, and health research communities. While existing initiatives demonstrate that different approaches can succeed in making the LHS vision a reality, they are too varied in their goals, focus, and scale to be reproduced without undue effort. Indeed, the structures necessary to effectively design and implement LHSs on a larger scale are lacking. In this paper, we propose the use of architectural frameworks to develop LHSs that adhere to a recognized vision while being adapted to their specific organizational context. Architectural frameworks are high-level descriptions of an organization as a system; they capture the structure of its main components at varied levels, the interrelationships among these components, and the principles that guide their evolution. Because these frameworks support the analysis of LHSs and allow their outcomes to be simulated, they act as pre-implementation decision-support tools that identify potential barriers and enablers of system development. They thus increase the chances of successful LHS deployment. We present an architectural framework for LHSs that incorporates five dimensions-goals, scientific, social, technical, and ethical-commonly found in the LHS literature. The proposed architectural framework is comprised of six decision layers that model these dimensions. The performance layer models goals, the scientific layer models the scientific dimension, the organizational layer models the social dimension, the data layer and information technology layer model the technical dimension, and the ethics and security layer models the ethical dimension. We describe the types of decisions that must be made within each layer and identify methods to support decision-making. In this paper, we outline

  4. Synthesizing Frameworks of Higher Education Student Learning Outcomes. Research Report. ETS RR-13-22

    ERIC Educational Resources Information Center

    Markle, Ross; Brenneman, Meghan; Jackson, Teresa; Burrus, Jeremy; Robbins, Steven

    2013-01-01

    The public, education, and workforce sectors all have expressed interest regarding the key knowledge, skills, and abilities that enable individuals to be productive members of society. Although past efforts have attempted to create frameworks of student learning outcomes, the results have varied due to different perspectives and goals. Thus, the…

  5. Designing Assessment for Autonomous Learning

    ERIC Educational Resources Information Center

    Hay, Marie; Mathers, Lucy

    2012-01-01

    This paper aims to disseminate and evaluate an autonomous learning framework developed through collaborative research with first- and second-year undergraduate students at De Montfort University. Central to the framework is the involvement of students in the assessment of their peers and themselves using dialogue about the assessment and feedback…

  6. Promoting Student Learning and Productive Persistence in Developmental Mathematics: Research Frameworks Informing the Carnegie Pathways

    ERIC Educational Resources Information Center

    Edwards, Ann R.; Beattie, Rachel L.

    2016-01-01

    This paper focuses on two research-based frameworks that inform the design of instruction and promote student success in accelerated, developmental mathematics pathways. These are Learning Opportunities--productive struggle on challenging and relevant tasks, deliberate practice, and explicit connections, and Productive Persistence--promoting…

  7. Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics Interventions at the Open University UK

    ERIC Educational Resources Information Center

    Rienties, Bart; Boroowa, Avinash; Cross, Simon; Kubiak, Chris; Mayles, Kevin; Murphy, Sam

    2016-01-01

    There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…

  8. Four years of problem-based learning: a student's perspective.

    PubMed Central

    von Doebeln, G.

    1996-01-01

    After four years as a student in a medical school using problem-based learning I still find it an excellent way to learn. Group work has developed my personal skills and abilities. Learning how to obtain knowledge on my own has given me independence and confidence. Motivation to study has been encouraged by early clinical experience. Training in critical thinking has been further enhanced by in-depth studies. Medical education at the University of Linkoping has developed over the years and a contributing factor has been students' involvement in designing the medical training. There are benefits and disadvantages with problem-based learning, but on the whole it is an enjoyable and fruitful experience. Images p98-a PMID:8871459

  9. A semi-supervised learning framework for biomedical event extraction based on hidden topics.

    PubMed

    Zhou, Deyu; Zhong, Dayou

    2015-05-01

    Scientists have devoted decades of efforts to understanding the interaction between proteins or RNA production. The information might empower the current knowledge on drug reactions or the development of certain diseases. Nevertheless, due to the lack of explicit structure, literature in life science, one of the most important sources of this information, prevents computer-based systems from accessing. Therefore, biomedical event extraction, automatically acquiring knowledge of molecular events in research articles, has attracted community-wide efforts recently. Most approaches are based on statistical models, requiring large-scale annotated corpora to precisely estimate models' parameters. However, it is usually difficult to obtain in practice. Therefore, employing un-annotated data based on semi-supervised learning for biomedical event extraction is a feasible solution and attracts more interests. In this paper, a semi-supervised learning framework based on hidden topics for biomedical event extraction is presented. In this framework, sentences in the un-annotated corpus are elaborately and automatically assigned with event annotations based on their distances to these sentences in the annotated corpus. More specifically, not only the structures of the sentences, but also the hidden topics embedded in the sentences are used for describing the distance. The sentences and newly assigned event annotations, together with the annotated corpus, are employed for training. Experiments were conducted on the multi-level event extraction corpus, a golden standard corpus. Experimental results show that more than 2.2% improvement on F-score on biomedical event extraction is achieved by the proposed framework when compared to the state-of-the-art approach. The results suggest that by incorporating un-annotated data, the proposed framework indeed improves the performance of the state-of-the-art event extraction system and the similarity between sentences might be precisely

  10. P21 Framework Definitions

    ERIC Educational Resources Information Center

    Partnership for 21st Century Skills, 2009

    2009-01-01

    To help practitioners integrate skills into the teaching of core academic subjects, the Partnership for 21st Century Skills has developed a unified, collective vision for learning known as the Framework for 21st Century Learning. This Framework describes the skills, knowledge and expertise students must master to succeed in work and life; it is a…

  11. Learning to learn causal models.

    PubMed

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

    2010-09-01

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

  12. Fifty Years of Learning by Older Adults in Aotearoa New Zealand

    ERIC Educational Resources Information Center

    Tobias, Robert

    2017-01-01

    This paper reflects on the history of adult and community education (ACE) in Aotearoa New Zealand with special reference to older people's learning. The paper adopts a critical framework and draws on both primary and secondary sources. Key economic, political, social, demographic and cultural forces are discussed along with the huge growth in…

  13. A Learning Framework for Control-Oriented Modeling of Buildings

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

    Rubio-Herrero, Javier; Chandan, Vikas; Siegel, Charles M.

    Buildings consume a significant amount of energy worldwide. Several building optimization and control use cases require models of energy consumption which are control oriented, have high predictive capability, imposes minimal data pre-processing requirements, and have the ability to be adapted continuously to account for changing conditions as new data becomes available. Data driven modeling techniques, that have been investigated so far, while promising in the context of buildings, have been unable to simultaneously satisfy all the requirements mentioned above. In this context, deep learning techniques such as Recurrent Neural Networks (RNNs) hold promise, empowered by advanced computational capabilities and bigmore » data opportunities. In this paper, we propose a deep learning based methodology for the development of control oriented models for building energy management and test in on data from a real building. Results show that the proposed methodology outperforms other data driven modeling techniques significantly. We perform a detailed analysis of the proposed methodology along dimensions such as topology, sensitivity, and downsampling. Lastly, we conclude by envisioning a building analytics suite empowered by the proposed deep framework, that can drive several use cases related to building energy management.« less

  14. A junction-tree based learning algorithm to optimize network wide traffic control: A coordinated multi-agent framework

    DOE PAGES

    Zhu, Feng; Aziz, H. M. Abdul; Qian, Xinwu; ...

    2015-01-31

    Our study develops a novel reinforcement learning algorithm for the challenging coordinated signal control problem. Traffic signals are modeled as intelligent agents interacting with the stochastic traffic environment. The model is built on the framework of coordinated reinforcement learning. The Junction Tree Algorithm (JTA) based reinforcement learning is proposed to obtain an exact inference of the best joint actions for all the coordinated intersections. Moreover, the algorithm is implemented and tested with a network containing 18 signalized intersections in VISSIM. Finally, our results show that the JTA based algorithm outperforms independent learning (Q-learning), real-time adaptive learning, and fixed timing plansmore » in terms of average delay, number of stops, and vehicular emissions at the network level.« less

  15. Carbon Monitoring System Applications Framework: Lessons Learned from Stakeholder Engagement Activities

    NASA Astrophysics Data System (ADS)

    Sepulveda Carlo, E.; Escobar, V. M.; Delgado Arias, S.; Forgotson, C.

    2017-12-01

    The NASA Carbon Monitoring System initiated by U.S. Congress in 2010 is developing products that characterize and quantify carbon sources and sinks in the United States and the global tropics. In 2013, an applications effort was selected to engage potential end users and gather feedback about their data needs. For the past four years the CMS applications efforts has expanded and implemented a number of strategies to connect carbon scientists to decision-makers, contributing to the societal benefits of CMS data products. The applications efforts use crowd sourcing to collects feedback from stakeholders on challenges and lessons learned in the use of CMS data products. Some of the most common data needs from engaged organizations include above and below-ground biomass and fluxes in forestlands and wetlands, and greenhouse gas (GHG) emissions across all land use/cover and land use changes. Stakeholder organizations' needs for CMS data products support national GHG inventories following the Paris Agreement, carbon markets, and sub-national natural resources management and policies. The lessons learned report presents stakeholder specific applications, challenges, and successes from using CMS data products. To date, the most common uses of CMS products include: conservation efforts, emissions inventory, forestry and land cover applications, and carbon offset projects. The most common challenges include: the need for familiar and consistent products over time, budget constraints, and concern with uncertainty of modeled results. Recurrent recommendations from stakeholder indicate that CMS should provide high resolution (30m) and frequent data products updates (annually). The applications efforts have also helped identified success stories from different CMS projects, including the development of the GHG emissions inventory from Providence, RI, the improvement of the U.S. GHG Inventory though the use of satellite data, and the use of high resolution canopy cover maps for

  16. Disciplinary Literacies and Learning to Read for Understanding: A Conceptual Framework for Disciplinary Literacy

    ERIC Educational Resources Information Center

    Goldman, Susan R.; Britt, M. Anne; Brown, Willard; Cribb, Gayle; George, MariAnne; Greenleaf, Cynthia; Lee, Carol D.; Shanahan, Cynthia

    2016-01-01

    This article presents a framework and methodology for designing learning goals targeted at what students need to know and be able to do in order to attain high levels of literacy and achievement in three disciplinary areas--literature, science, and history. For each discipline, a team of researchers, teachers, and specialists in that discipline…

  17. The Impact of Appreciative Advising and a Grounded Theory of Catholic Identity Development among Students in a First-Year, Faith-Based Leadership Learning Community at a Catholic, Urban University

    ERIC Educational Resources Information Center

    Walters, James R.

    2014-01-01

    The present study sought to investigate the impact of a first-year, faith-based leadership learning community in a Catholic, urban and northeastern institution of higher education. The research assessed the impact of the organizational model of appreciative advising, utilized as the framework for the curriculum of this first-year program. This…

  18. A framework for learning about improvement: embedded implementation and evaluation design to optimize learning

    PubMed Central

    Barry, Danika; Kimble, Leighann E; Nambiar, Bejoy; Parry, Gareth; Jha, Ashish; Chattu, Vijay Kumar; Massoud, M Rashad; Goldmann, Don

    2018-01-01

    Abstract Improving health care involves many actors, often working in complex adaptive systems. Interventions tend to be multi-factorial, implementation activities diverse, and contexts dynamic and complicated. This makes improvement initiatives challenging to describe and evaluate as matching evaluation and program designs can be difficult, requiring collaboration, trust and transparency. Collaboration is required to address important epidemiological principles of bias and confounding. If this does not take place, results may lack credibility because the association between interventions implemented and outcomes achieved is obscure and attribution uncertain. Moreover, lack of clarity about what was implemented, how it was implemented, and the context in which it was implemented often lead to disappointment or outright failure of spread and scale-up efforts. The input of skilled evaluators into the design and conduct of improvement initiatives can be helpful in mitigating these potential problems. While evaluation must be rigorous, if it is too rigid necessary adaptation and learning may be compromised. This article provides a framework and guidance on how improvers and evaluators can work together to design, implement and learn about improvement interventions more effectively. PMID:29873794

  19. A unified framework of image latent feature learning on Sina microblog

    NASA Astrophysics Data System (ADS)

    Wei, Jinjin; Jin, Zhigang; Zhou, Yuan; Zhang, Rui

    2015-10-01

    Large-scale user-contributed images with texts are rapidly increasing on the social media websites, such as Sina microblog. However, the noise and incomplete correspondence between the images and the texts give rise to the difficulty in precise image retrieval and ranking. In this paper, a hypergraph-based learning framework is proposed for image ranking, which simultaneously utilizes visual feature, textual content and social link information to estimate the relevance between images. Representing each image as a vertex in the hypergraph, complex relationship between images can be reflected exactly. Then updating the weight of hyperedges throughout the hypergraph learning process, the effect of different edges can be adaptively modulated in the constructed hypergraph. Furthermore, the popularity degree of the image is employed to re-rank the retrieval results. Comparative experiments on a large-scale Sina microblog data-set demonstrate the effectiveness of the proposed approach.

  20. A Learning Framework for Winner-Take-All Networks with Stochastic Synapses.

    PubMed

    Mostafa, Hesham; Cauwenberghs, Gert

    2018-06-01

    Many recent generative models make use of neural networks to transform the probability distribution of a simple low-dimensional noise process into the complex distribution of the data. This raises the question of whether biological networks operate along similar principles to implement a probabilistic model of the environment through transformations of intrinsic noise processes. The intrinsic neural and synaptic noise processes in biological networks, however, are quite different from the noise processes used in current abstract generative networks. This, together with the discrete nature of spikes and local circuit interactions among the neurons, raises several difficulties when using recent generative modeling frameworks to train biologically motivated models. In this letter, we show that a biologically motivated model based on multilayer winner-take-all circuits and stochastic synapses admits an approximate analytical description. This allows us to use the proposed networks in a variational learning setting where stochastic backpropagation is used to optimize a lower bound on the data log likelihood, thereby learning a generative model of the data. We illustrate the generality of the proposed networks and learning technique by using them in a structured output prediction task and a semisupervised learning task. Our results extend the domain of application of modern stochastic network architectures to networks where synaptic transmission failure is the principal noise mechanism.

  1. A Flipped First-Year Digital Circuits Course for Engineering and Technology Students

    ERIC Educational Resources Information Center

    Yelamarthi, Kumar; Drake, Eron

    2015-01-01

    This paper describes a flipped and improved first-year digital circuits (DC) course that incorporates several active learning strategies. With the primary objective of increasing student interest and learning, an integrated instructional design framework is proposed to provide first-year engineering and technology students with practical knowledge…

  2. A multidimensional framework of conceptual change for developing chemical equilibrium learning

    NASA Astrophysics Data System (ADS)

    Chanyoo, Wassana; Suwannoi, Paisan; Treagust, David F.

    2018-01-01

    The purposes of this research is to investigate the existing chemical equilibrium lessons in Thailand based on the multidimensional framework of conceptual change, to determine how the existing lessons could enhance students' conceptual change. This research was conducted based on qualitative perspective. Document, observations and interviews were used to collect data. To comprehend all students conceptions, diagnostic tests were applied comprised of The Chemical Equilibrium Diagnostic Test (the CEDT) and The Chemical Equilibrium Test for Reveal Conceptual Change (the CETforRCC). In addition, to study students' motivations, the Motivated Strategies for Learning Questionnaire (the MSLQ) and students' task engagement were applied. Following each perspective of conceptual change - ontological, epistemological, and social/affective - the result showed that the existing chemical equilibrium unit did not enhance students' conceptual change, and some issues were found. The problems obstructed students conceptual change should be remedy under the multidimensional framework of conceptual change. Finally, some suggestions were provided to enhance students' conceptual change in chemical equilibrium effectively

  3. Readiness To Learn Project: End of Year Report.

    ERIC Educational Resources Information Center

    Armijo, Eduardo J.; Yount, Darrell E.

    This report outlines the Quillayute Valley Child and Family Consortium's End of Year Readiness to Learn program activities, including outcomes through May 1995. The program was established in part by the Washington State Readiness to Learn Initiative, designed to help children benefit from schooling by enabling schools and social services…

  4. Measuring Knowledge Integration Learning of Energy Topics: A two-year longitudinal study

    NASA Astrophysics Data System (ADS)

    Liu, Ou Lydia; Ryoo, Kihyun; Linn, Marcia C.; Sato, Elissa; Svihla, Vanessa

    2015-05-01

    Although researchers call for inquiry learning in science, science assessments rarely capture the impact of inquiry instruction. This paper reports on the development and validation of assessments designed to measure middle-school students' progress in gaining integrated understanding of energy while studying an inquiry-oriented curriculum. The assessment development was guided by the knowledge integration framework. Over 2 years of implementation, more than 4,000 students from 4 schools participated in the study, including a cross-sectional and a longitudinal cohort. Results from item response modeling analyses revealed that: (a) the assessments demonstrated satisfactory psychometric properties in terms of reliability and validity; (b) both the cross-sectional and longitudinal cohorts made progress on integrating their understanding energy concepts; and (c) among many factors (e.g. gender, grade, school, and home language) associated with students' science performance, unit implementation was the strongest predictor.

  5. Learning styles of first-year orthopedic surgical residents at 1 accredited institution.

    PubMed

    Caulley, Lisa; Wadey, Veronica; Freeman, Risa

    2012-01-01

    This study represents 1 arm of a 5-year prospective study investigating the learning styles of orthopedic residents and their surgical educators. This project investigates the learning styles of the 2009-2010 year 1 orthopedic surgical residents. A cross-sectional survey using the Kolb Learning Style Inventory was completed by 13 first year orthopedic residents. Direct 1-to-1 interviews were completed with the primary investigator and each participant using the Kolb Learning Style Inventory and learning styles were determined. Converging learning style was the most common among the residents (53.8%). Residents demonstrated a high tendency toward the learning skill of abstract conceptualization combined with active experimentation, and a transition from action-oriented to more reflective learning style with age and postgraduate education. These results may be useful in creating strategies specific to each learning style that will be offered to residents to enhance future teaching and learning. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  6. A Shared Focus: Comparing the Australian, Canadian, United Kingdom and United States Pharmacy Learning Outcome Frameworks and the Global Competency Framework.

    PubMed

    Stupans, Ieva; Atkinson, Jeffrey; Meštrović, Arijana; Nash, Rose; Rouse, Michael J

    2016-09-10

    This paper presents an analysis of the end of degree expectations, expressed as learning outcomes, for pharmacy graduates from Australia, Canada, United Kingdom and United States. The authors compare the end of degree expectations, through mapping these requirements to the International Pharmaceutical Federation (FIP) Global Competency Framework (GbCF). The anticipated end of degree expectations are similar but also reveal some individual characteristics. Irrespective of degree title, achievement of learning outcomes specified in any one of the four jurisdictions should enable students to become pharmacists who are patient-orientated medicines experts. The mapping provides impetus for cross-border institutional networking to generate a dependable set of assessment tools across national borders developing a common metric for outcome assessment irrespective of different program delivery.

  7. Learning in the context of community: The academic experiences of first-year arts and science students in a learning community program

    NASA Astrophysics Data System (ADS)

    Schmidt, Nancy

    2000-10-01

    This study explored the academic experiences of two groups of first-year students in university, one in the arts and one in the science, who participated in a residential-based learning community program. Using qualitative and critical analysis of in-depth student interviews conducted over a fall and winter semester, I constructed their world as implied from their stories and narratives. From this vantage point, I investigated how students as novice learners negotiated their role as learners; the belief systems they brought with them to minimize academic risk; their coping strategies in a 12 week semestered system; and the tacit theories they acquired within their day-to-day educational experiences. A number of themes emerged from the research: students intentionally minimizing faculty contact until they developed 'worthiness'; learning as 'teacher pleasing'; disciplinary learning differences between the arts and sciences students; and a grade orientation that influenced what and how students learned. Within the broader political, ideological, and cultural framework of the university, I identified student patterns of accommodation, resistance, silence and submission in negotiating their roles as learners. By critiquing the academic side of university life as students experienced it and lived it as a community of learners, I exposed the tensions, contradictions, and paradoxes that emerged. I revealed the points of disjuncture that came from competing discourses within the university for these students: the discourse of community, the discourse of collective harmony, and the discourse of the market place.

  8. Towards an Online Seizure Advisory System-An Adaptive Seizure Prediction Framework Using Active Learning Heuristics.

    PubMed

    Karuppiah Ramachandran, Vignesh Raja; Alblas, Huibert J; Le, Duc V; Meratnia, Nirvana

    2018-05-24

    In the last decade, seizure prediction systems have gained a lot of attention because of their enormous potential to largely improve the quality-of-life of the epileptic patients. The accuracy of the prediction algorithms to detect seizure in real-world applications is largely limited because the brain signals are inherently uncertain and affected by various factors, such as environment, age, drug intake, etc., in addition to the internal artefacts that occur during the process of recording the brain signals. To deal with such ambiguity, researchers transitionally use active learning, which selects the ambiguous data to be annotated by an expert and updates the classification model dynamically. However, selecting the particular data from a pool of large ambiguous datasets to be labelled by an expert is still a challenging problem. In this paper, we propose an active learning-based prediction framework that aims to improve the accuracy of the prediction with a minimum number of labelled data. The core technique of our framework is employing the Bernoulli-Gaussian Mixture model (BGMM) to determine the feature samples that have the most ambiguity to be annotated by an expert. By doing so, our approach facilitates expert intervention as well as increasing medical reliability. We evaluate seven different classifiers in terms of the classification time and memory required. An active learning framework built on top of the best performing classifier is evaluated in terms of required annotation effort to achieve a high level of prediction accuracy. The results show that our approach can achieve the same accuracy as a Support Vector Machine (SVM) classifier using only 20 % of the labelled data and also improve the prediction accuracy even under the noisy condition.

  9. ARITHMETIC PROGRAM FOURTH YEAR.

    ERIC Educational Resources Information Center

    GARBER, CLAIRE N.

    THE 4TH YEAR SHOULD CONTINUE THE SEQUENTIAL PRESENTATION MATHEMATICAL UNDERSTANDINGS AND RELATIONSHIPS. NEW LEARNINGS SHOULD BE PRESENTED CONCRETELY IN SOCIAL SETTINGS WITHIN THE CHILDREN'S FRAMEWORK OF UNDERSTANDING. GRAPHIC MATERIALS MAY BE USED TO BRIDGE THE UNDERSTANDINGS FROM THE CONCRETE TO THE ABSTRACT LEVEL. THE NUMBER SYSTEM UNIT SHOULD…

  10. Using Transformative Learning as a Framework to Explore Women and Running

    ERIC Educational Resources Information Center

    Hayduk, Dina

    2011-01-01

    This qualitative narrative inquiry explored women's self-perceptions changed through regular participation in running. Transformative learning theory was considered as a possible explanation for the learning and changes adult women experienced. In-depth interviews of 11 adult women who have been running between 1 to 4 years were conducted. Based…

  11. Shifting the Balance in First-Year Learning Support: From Staff Instruction to Peer-Learning Primacy

    ERIC Educational Resources Information Center

    van der Meer, Jacques; Scott, Carole

    2008-01-01

    Effective response to the learning needs of first-year students is a contested issue. In many learning support centres the dominant approach to developing student learning skills is through generic or tailored workshops and/or individual consultations. Although there is a place for these activities, we argue that the balance should be shifted…

  12. Statewide Work-Based Learning Intermediary Network: Fiscal Year 2014 Report

    ERIC Educational Resources Information Center

    Iowa Department of Education, 2014

    2014-01-01

    The Statewide Work-based Learning Intermediary Network Fiscal Year 2014 Report summarizes fiscal year 2014 (FY14) work-based learning activities of the 15 regional intermediary networks. This report includes activities which occurred between October 1, 2013, to June 30, 2014. It is notable that some intermediary regional networks have been in…

  13. Organizational Learning and Innovation Performance: A Review of the Literature and the Development of a Conceptual Framework and Research Hypotheses

    ERIC Educational Resources Information Center

    Wang, Yu-Lin; Ellinger, Andrea D.

    2008-01-01

    The purpose of this paper is to develop a conceptual framework and research hypotheses based upon a thorough review of the conceptual and limited published empirical research in the organizational learning and innovation performance literatures. Hypotheses indicate the relationships between organizational learning, its antecedent, perception of…

  14. Science of Materials: A Case Study of Intentional Teaching in the Early Years

    ERIC Educational Resources Information Center

    Hackling, Mark; Barratt-Pugh, Caroline

    2012-01-01

    Australia's Early Years Learning Framework and leading international researchers argue for more intentional and purposeful teaching of science in the early years. This case study of exemplary practice illustrates intentional teaching of science materials which opened-up learning opportunities in literacy and number. Student-led hands-on…

  15. 'Stepping in' or 'stepping back': how first year nursing students begin to learn about person-centred care.

    PubMed

    Currie, Kay; Bannerman, Samantha; Howatson, Val; MacLeod, Fiona; Mayne, Wendy; Organ, Christine; Renton, Sarah; Scott, Janine

    2015-01-01

    The concept of person-centred care has gained international recognition over the last decade and forms one of the key concepts of our Nursing Quality Improvement Curricular Framework. This study aimed to investigate nursing students' learning about person-centred care during the first-year of their programme. Qualitative thematic analysis of a section of placement learning documents from two consecutive cohorts of students from all fields of nursing (n=405), supplemented by three focus group discussions. Two conceptual categories of student approaches to learning emerged. Firstly, 'stepping back', or learning from a distance about how nurses provide care, often through reading case notes and care plans; second, 'stepping in', learning about the patient as a person by direct interaction with service users. Evidence of reflection on the patient's experience of care was limited. These results have resonance with existing pedagogical theories around preferences for active or passive styles of learning. The potential for clinical mentors to build student confidence and encourage direct engagement with patients was highlighted. Students are aware of the concepts, principles and professional values of person-centred care from early in their programme; however, the majority tend to be preoccupied by learning about what nurses 'do', rather than 'how patients experience care'. Development towards a more person-centred approach may require targeted support from mentors to help students gain confidence and begin reflecting on how patients experience care. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Press Play for Learning: A Framework to Guide Serious Computer Game Use in the Classroom

    ERIC Educational Resources Information Center

    Southgate, Erica; Budd, Janene; Smith, Shamus

    2017-01-01

    Computer gaming is a global phenomenon and there has been rapid growth in "serious" games for learning. An emergent body of evidence demonstrates how serious games can be used in primary and secondary school classrooms. Despite the popularity of serious games and their pedagogical potential, there are few specialised frameworks to guide…

  17. Developing Policy Instruments for Education in the EU: The European Qualifications Framework for Lifelong Learning

    ERIC Educational Resources Information Center

    Elken, Mari

    2015-01-01

    The European Qualifications Framework (EQF) for lifelong learning has been characterized as a policy instrument with a number of contested ideas, raising questions about the process through which such instruments are developed at European level. The introduction of the EQF is in this article examined through variations of neo-institutional theory:…

  18. Learning through Interactive Talk: A School-Based Mentor Teacher Study Group as a Context for Professional Learning

    ERIC Educational Resources Information Center

    Carroll, D.

    2005-01-01

    This article reports on a year-long study of collaborative professional learning in a mentor teacher study group connected to a large university teacher education program. It introduces a theoretical framework for considering the nature of interactive talk and its relationship to professional learning. Using examples of study group discourse, it…

  19. Comparing the Development of Australian and German 7-Year-Old and 8-Year-Old's Counting and Whole Number Learning

    ERIC Educational Resources Information Center

    Gervasoni, Ann; Peter-Koop, Andrea

    2015-01-01

    This paper compares the counting and whole number knowledge and skills of primary school children in Australia and Germany at the end of Grade 1 and Grade 2. Children's learning was assessed using the Early Numeracy Interview and associated Growth Point Framework. The findings highlight substantial differences between the two groups that vary for…

  20. Clinical experiences with laser-welded titanium frameworks supported by implants in the edentulous mandible: a 10-year follow-up study.

    PubMed

    Ortorp, Anders; Jemt, Torsten

    2006-01-01

    Long-term follow-up studies for more than 5 years are not available on laser-welded titanium frameworks. To report and compare 10-year data on implant-supported prostheses in the edentulous mandible provided with laser-welded titanium frameworks and conventional gold alloy frameworks. Altogether, 155 patients were consecutively treated with prostheses at abutment level with two generations of fixed laser-welded titanium frameworks (test groups). A control group of 53 randomly selected patients with conventional gold alloy castings was used for comparison. Clinical and radiographic 10-year data were collected for the three groups. All patients followed-up for 10 years (n=112) still had fixed prostheses in the mandible (cumulative success rate [CSR] 100%). The overall 10-year cumulative success rate (CSR) was 92.8 and 100.0% for titanium and gold alloy frameworks, respectively. Ten-year implant cumulative survival rate (CSR) was 99.4 and 99.6% for the test and control groups, respectively. Average 10-year bone loss was 0.56 (SD 0.45) mm for the titanium group and 0.77 (SD 0.36) mm for the control group (p < 0.05). The most common complications for titanium frameworks were resin or veneer fractures, soft tissue inflammation, and fractures (12.9%) of the metal frame. Loose and fractured implant screw components were below 3%. Excellent overall long-term results with 100% CSR could be achieved with the present treatment modality. Fractures of the metal frames and remade prostheses were more common for the laser-welded titanium frameworks, and the first generation of titanium frameworks worked poorly when compared with gold alloy frameworks during 10 years (p < 0.05). However, on average more bone loss was observed for implants supporting gold alloy frameworks during 10 years. The reasons for this difference are not clear.

  1. A Framework for Learning Analytics Using Commodity Wearable Devices

    PubMed Central

    Lu, Yu; Zhang, Sen; Zhang, Zhiqiang; Xiao, Wendong; Yu, Shengquan

    2017-01-01

    We advocate for and introduce LEARNSense, a framework for learning analytics using commodity wearable devices to capture learner’s physical actions and accordingly infer learner context (e.g., student activities and engagement status in class). Our work is motivated by the observations that: (a) the fine-grained individual-specific learner actions are crucial to understand learners and their context information; (b) sensor data available on the latest wearable devices (e.g., wrist-worn and eye wear devices) can effectively recognize learner actions and help to infer learner context information; (c) the commodity wearable devices that are widely available on the market can provide a hassle-free and non-intrusive solution. Following the above observations and under the proposed framework, we design and implement a sensor-based learner context collector running on the wearable devices. The latest data mining and sensor data processing techniques are employed to detect different types of learner actions and context information. Furthermore, we detail all of the above efforts by offering a novel and exemplary use case: it successfully provides the accurate detection of student actions and infers the student engagement states in class. The specifically designed learner context collector has been implemented on the commodity wrist-worn device. Based on the collected and inferred learner information, the novel intervention and incentivizing feedback are introduced into the system service. Finally, a comprehensive evaluation with the real-world experiments, surveys and interviews demonstrates the effectiveness and impact of the proposed framework and this use case. The F1 score for the student action classification tasks achieve 0.9, and the system can effectively differentiate the defined three learner states. Finally, the survey results show that the learners are satisfied with the use of our system (mean score of 3.7 with a standard deviation of 0.55). PMID:28613236

  2. A Framework for Learning Analytics Using Commodity Wearable Devices.

    PubMed

    Lu, Yu; Zhang, Sen; Zhang, Zhiqiang; Xiao, Wendong; Yu, Shengquan

    2017-06-14

    We advocate for and introduce LEARNSense, a framework for learning analytics using commodity wearable devices to capture learner's physical actions and accordingly infer learner context (e.g., student activities and engagement status in class). Our work is motivated by the observations that: (a) the fine-grained individual-specific learner actions are crucial to understand learners and their context information; (b) sensor data available on the latest wearable devices (e.g., wrist-worn and eye wear devices) can effectively recognize learner actions and help to infer learner context information; (c) the commodity wearable devices that are widely available on the market can provide a hassle-free and non-intrusive solution. Following the above observations and under the proposed framework, we design and implement a sensor-based learner context collector running on the wearable devices. The latest data mining and sensor data processing techniques are employed to detect different types of learner actions and context information. Furthermore, we detail all of the above efforts by offering a novel and exemplary use case: it successfully provides the accurate detection of student actions and infers the student engagement states in class. The specifically designed learner context collector has been implemented on the commodity wrist-worn device. Based on the collected and inferred learner information, the novel intervention and incentivizing feedback are introduced into the system service. Finally, a comprehensive evaluation with the real-world experiments, surveys and interviews demonstrates the effectiveness and impact of the proposed framework and this use case. The F1 score for the student action classification tasks achieve 0.9, and the system can effectively differentiate the defined three learner states. Finally, the survey results show that the learners are satisfied with the use of our system (mean score of 3.7 with a standard deviation of 0.55).

  3. Learning Communities: New Structures, New Partnerships for Learning. The First-Year Experience. Monograph Series, No. 26.

    ERIC Educational Resources Information Center

    Levine, Jodi H., Ed.

    This monograph on learning communities and the first-year college experience presents 12 chapters which combine theory with examples of good practice and recommendations for building and sustaining effective learning communities. Following an introduction by the editor, the included chapters are: (1) "What Are Learning Communities?"…

  4. An expanded framework for biomolecular visualization in the classroom: Learning goals and competencies

    PubMed Central

    Dries, Daniel R.; Dean, Diane M.; Listenberger, Laura L.; Novak, Walter R.P.

    2016-01-01

    Abstract A thorough understanding of the molecular biosciences requires the ability to visualize and manipulate molecules in order to interpret results or to generate hypotheses. While many instructors in biochemistry and molecular biology use visual representations, few indicate that they explicitly teach visual literacy. One reason is the need for a list of core content and competencies to guide a more deliberate instruction in visual literacy. We offer here the second stage in the development of one such resource for biomolecular three‐dimensional visual literacy. We present this work with the goal of building a community for online resource development and use. In the first stage, overarching themes were identified and submitted to the biosciences community for comment: atomic geometry; alternate renderings; construction/annotation; het group recognition; molecular dynamics; molecular interactions; monomer recognition; symmetry/asymmetry recognition; structure‐function relationships; structural model skepticism; and topology and connectivity. Herein, the overarching themes have been expanded to include a 12th theme (macromolecular assemblies), 27 learning goals, and more than 200 corresponding objectives, many of which cut across multiple overarching themes. The learning goals and objectives offered here provide educators with a framework on which to map the use of molecular visualization in their classrooms. In addition, the framework may also be used by biochemistry and molecular biology educators to identify gaps in coverage and drive the creation of new activities to improve visual literacy. This work represents the first attempt, to our knowledge, to catalog a comprehensive list of explicit learning goals and objectives in visual literacy. © 2016 by The International Union of Biochemistry and Molecular Biology, 45(1):69–75, 2017. PMID:27486685

  5. Using developmental evaluation as a system of organizational learning: An example from San Francisco.

    PubMed

    Shea, Jennifer; Taylor, Tory

    2017-12-01

    In the last 20 years, developmental evaluation has emerged as a promising approach to support organizational learning in emergent social programs. Through a continuous system of inquiry, reflection, and application of knowledge, developmental evaluation serves as a system of tools, methods, and guiding principles intended to support constructive organizational learning. However, missing from the developmental evaluation literature is a nuanced framework to guide evaluators in how to elevate the organizational practices and concepts most relevant for emergent programs. In this article, we describe and reflect on work we did to develop, pilot, and refine an integrated pilot framework. Drawing on established developmental evaluation inquiry frameworks and incorporating lessons learned from applying the pilot framework, we put forward the Evaluation-led Learning framework to help fill that gap and encourage others to implement and refine it. We posit that without explicitly incorporating the assessments at the foundation of the Evaluation-led Learning framework, developmental evaluation's ability to affect organizational learning in productive ways will likely be haphazard and limited. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. Responsibly managing students' learning experiences in student-run clinics: a virtues-based ethical framework.

    PubMed

    Coverdale, John H; McCullough, Laurence B

    2014-01-01

    Many medical schools now offer students a distinctive clinical and learning opportunity, the student-run clinic (SRC), in which generalist physicians often play the major role. Although SRCs have become popular, they pose as-yet unexplored ethical challenges for the learning experiences of students. In SRCs students not only take on a significant administrative role especially in coordinating care, but also provide direct patient care for a clinically challenging, biopsychosocially vulnerable, medically indigent population of patients. SRCs provide an exemplar of the ethical challenges of care for such patients. The ethical framework proposed in this article emphasizes that these valued learning opportunities for students should occur in the context of professional formation, with explicit attention to developing the professional virtues, with faculty as role models for these virtues. The valued learning opportunities for students in SRCs should occur in the context of professional formation, with explicit attention to developing the professional virtues of integrity, compassion, self-effacement, self-sacrifice, and courage, which are required for the appropriate care of the vulnerable populations served by SRCs.

  7. Conceptual Elements: A Detailed Framework to Support and Assess Student Learning of Biology Core Concepts

    PubMed Central

    Cary, Tawnya; Branchaw, Janet

    2017-01-01

    The Vision and Change in Undergraduate Biology Education: Call to Action report has inspired and supported a nationwide movement to restructure undergraduate biology curricula to address overarching disciplinary concepts and competencies. The report outlines the concepts and competencies generally but does not provide a detailed framework to guide the development of the learning outcomes, instructional materials, and assessment instruments needed to create a reformed biology curriculum. In this essay, we present a detailed Vision and Change core concept framework that articulates key components that transcend subdisciplines and scales for each overarching biological concept, the Conceptual Elements (CE) Framework. The CE Framework was developed using a grassroots approach of iterative revision and incorporates feedback from more than 60 biologists and undergraduate biology educators from across the United States. The final validation step resulted in strong national consensus, with greater than 92% of responders agreeing that each core concept list was ready for use by the biological sciences community, as determined by scientific accuracy and completeness. In addition, we describe in detail how educators and departments can use the CE Framework to guide and document reformation of individual courses as well as entire curricula. PMID:28450444

  8. Integration of Culturally Relevant Pedagogy Into the Science Learning Progression Framework

    NASA Astrophysics Data System (ADS)

    Bernardo, Cyntra

    This study integrated elements of culturally relevant pedagogy into a science learning progression framework, with the goal of enhancing teachers' cultural knowledge and thereby creating better teaching practices in an urban public high school science classroom. The study was conducted using teachers, an administrator, a science coach, and students involved in science courses in public high school. Through a qualitative intrinsic case study, data were collected and analyzed using traditional methods. Data from primary participants (educators) were analyzed through identification of big ideas, open coding, and themes. Through this process, patterns and emergent ideas were reported. Outcomes of this study demonstrated that educators lack knowledge about research-based academic frameworks and multicultural education strategies, but benefit through institutionally-based professional development. Students from diverse cultures responded positively to culturally-based instruction. Their progress was further manifested in better communication and discourse with their teacher and peers, and increased academic outcomes. This study has postulated and provided an exemplar for science teachers to expand and improve multicultural knowledge, ultimately transferring these skills to their pedagogical practice.

  9. Computer Mediated Communication in the Universal Design for Learning Framework for Preparation of Special Education Teachers

    ERIC Educational Resources Information Center

    Basham, James D.; Lowrey, K. Alisa; deNoyelles, Aimee

    2010-01-01

    This study investigated the Universal Design for Learning (UDL) framework as a basis for a bi-university computer mediated communication (CMC) collaborative project. Participants in the research included 78 students from two special education programs enrolled in teacher education courses. The focus of the investigation was on exploring the…

  10. Preferences for Team Learning and Lecture-Based Learning among First-Year Undergraduate Accounting Students

    ERIC Educational Resources Information Center

    Opdecam, Evelien; Everaert, Patricia; Van Keer, Hilde; Buysschaert, Fanny

    2014-01-01

    This study investigates students' "preference" for team learning and its effectiveness, compared to lecture-based learning. A quasi-experiment was set up in a financial accounting course in the first-year undergraduate of the Economics and Business Administration Program, where students had to choose between one of the two learning…

  11. More than "Continuing Professional Development": A Proposed New Learning Framework for Professional Accountants

    ERIC Educational Resources Information Center

    Lindsay, Hilary

    2016-01-01

    This paper explores literature relating to continuing professional development (CPD) and lifelong learning to develop an understanding of how the learning landscape has evolved in recent years, both in the accountancy profession and more widely. Three different perspectives on learning are drawn together and this synthesis is used to develop a…

  12. Education and Training of Emergency Medical Teams: Recommendations for a Global Operational Learning Framework.

    PubMed

    Amat Camacho, Nieves; Hughes, Amy; Burkle, Frederick M; Ingrassia, Pier Luigi; Ragazzoni, Luca; Redmond, Anthony; Norton, Ian; von Schreeb, Johan

    2016-10-21

    An increasing number of international emergency medical teams are deployed to assist disaster-affected populations worldwide. Since Haiti earthquake those teams have been criticised for ill adapted care, lack of preparedness in addition to not coordinating with the affected country healthcare system. The Emergency Medical Teams (EMTs) initiative, as part of the Word Health Organization's Global Health Emergency Workforce program, aims to address these shortcomings by improved EMT coordination, and mechanisms to ensure quality and accountability of national and international EMTs. An essential component to reach this goal is appropriate education and training. Multiple disaster education and training programs are available. However, most are centred on individuals' professional development rather than on the EMTs operational performance. Moreover, no common overarching or standardised training frameworks exist. In this report, an expert panel review and discuss the current approaches to disaster education and training and propose a three-step operational learning framework that could be used for EMTs globally. The proposed framework includes the following steps: 1) ensure professional competence and license to practice, 2) support adaptation of technical and non-technical professional capacities into the low-resource and emergency context and 3) prepare for an effective team performance in the field. A combination of training methodologies is also recommended, including individual theory based education, immersive simulations and team training. Agreed curriculum and open access training materials for EMTs need to be further developed, ideally through collaborative efforts between WHO, operational EMT organizations, universities, professional bodies and training agencies.  Keywords: disasters; education; emergencies; global health; learning.

  13. Education and Training of Emergency Medical Teams: Recommendations for a Global Operational Learning Framework

    PubMed Central

    Amat Camacho, Nieves; Hughes, Amy; Burkle, Frederick M.; Ingrassia, Pier Luigi; Ragazzoni, Luca; Redmond, Anthony; Norton, Ian; von Schreeb, Johan

    2016-01-01

    An increasing number of international emergency medical teams are deployed to assist disaster-affected populations worldwide. Since Haiti earthquake those teams have been criticised for ill adapted care, lack of preparedness in addition to not coordinating with the affected country healthcare system. The Emergency Medical Teams (EMTs) initiative, as part of the Word Health Organization’s Global Health Emergency Workforce program, aims to address these shortcomings by improved EMT coordination, and mechanisms to ensure quality and accountability of national and international EMTs. An essential component to reach this goal is appropriate education and training. Multiple disaster education and training programs are available. However, most are centred on individuals’ professional development rather than on the EMTs operational performance. Moreover, no common overarching or standardised training frameworks exist. In this report, an expert panel review and discuss the current approaches to disaster education and training and propose a three-step operational learning framework that could be used for EMTs globally. The proposed framework includes the following steps: 1) ensure professional competence and license to practice, 2) support adaptation of technical and non-technical professional capacities into the low-resource and emergency context and 3) prepare for an effective team performance in the field. A combination of training methodologies is also recommended, including individual theory based education, immersive simulations and team training. Agreed curriculum and open access training materials for EMTs need to be further developed, ideally through collaborative efforts between WHO, operational EMT organizations, universities, professional bodies and training agencies.  Keywords: disasters; education; emergencies; global health; learning PMID:27917306

  14. Leadership for Learning: Lessons from 40 Years of Empirical Research

    ERIC Educational Resources Information Center

    Hallinger, Philip

    2011-01-01

    Purpose: This paper aims to present a research-based model of leadership for learning. It argues that the field has made substantial progress over the past 40 years in identifying ways in which leadership contributes to learning and school improvement. Four specific dimensions of leading for learning are presented: values and beliefs, leadership…

  15. Still Learning after All These Years

    ERIC Educational Resources Information Center

    Stanistreet, Paul

    2012-01-01

    Adult Learners' Week is based on a simple idea--that extolling the achievements of adult learners and promoting the benefits of learning will encourage others to take the plunge. Each year, through thousands of events and award ceremonies, and in media coverage that would cost millions of pounds if purchased as advertising, Adult Learners' Week…

  16. CNC-milled titanium frameworks supported by implants in the edentulous jaw: a 10-year comparative clinical study.

    PubMed

    Örtorp, Anders; Jemt, Torsten

    2012-03-01

    No long-term clinical studies covering more than 5 years are available on Computer Numeric Controlled (CNC) milled titanium frameworks. To evaluate and compare the clinical and radiographic performance of implant-supported prostheses provided with CNC titanium frameworks in the edentulous jaw with prostheses with cast gold-alloy frameworks during the first 10 years of function. Altogether, 126 edentulous patients were by random provided with 67 prostheses with titanium frameworks (test) in 23 maxillas and 44 mandibles, and with 62 prostheses with gold-alloy castings (control) in 31 maxillas and 31 mandibles. Clinical and radiographic 10-year data were collected for the groups and statistically compared on patient level. The 10-year prosthesis and implant cumulative survival rate was 95.6% compared with 98.3%, and 95.0% compared with 97.9% for test and control groups, respectively (p > .05). No implants were lost after 5 years of follow-up. Smokers lost more implants than nonsmokers after 5 years of follow-up (p < .01). Mean marginal bone loss in the test group was 0.7 mm (SD 0.61) and 0.7 mm (SD 0.85) in the maxilla and mandible, with similar pattern in the control group (p > .05), respectively. One prosthesis was lost in each group due to loss of implants, and one prosthesis failed due to framework fracture in the test group. Two metal fractures were registered in each group. More appointments of maintenance were needed for the prostheses in the maxilla compared with those in the mandible (p < .001). The frequency of complications was low with similar clinical and radiological performance for both groups during 10 years. CNC-milled titanium frameworks are a viable alternative to gold-alloy castings for restoring patients with implant-supported prostheses in the edentulous jaw. © 2009 Wiley Periodicals, Inc.

  17. An overview of infusing service-learning in medical education.

    PubMed

    Stewart, Trae; Wubbena, Zane

    2014-08-04

    To identify and review existing empirical research about service-learning and medical education and then to develop a framework for infusing service-learning in Doctor of Medicine or Doctor of Osteopathic Medicine curricula. We selected literature on service-learning and medical education. Articles were screened with a protocol for inclusion or exclusion at two separate stages. At stage one, articles were screened according to their titles, abstracts, and keywords. The second stage involved a full-text review. Finally, a thematic analysis using focused and selective coding was conducted. Eighteen studies were analyzed spanning the years 1998 to 2012. The results from our analysis informed the development of a four-stage service-learning framework: 1) planning and preparation, 2) action, 3) reflection and demonstration, and 4) assessment and celebration. The presented service-learning framework can be used to develop curricula for the infusion of service-learning in medical school. Service-learning curricula in medical education have the potential to provide myriad benefits to faculty, students, community members, and university-community partnerships.

  18. An overview of infusing service-learning in medical education

    PubMed Central

    Wubbena, Zane

    2014-01-01

    Objectives To identify and review existing empirical research about service-learning and medical education and then to develop a framework for infusing service-learning in Doctor of Medicine or Doctor of Osteopathic Medicine curricula. Methods We selected literature on service-learning and medical education. Articles were screened with a protocol for inclusion or exclusion at two separate stages. At stage one, articles were screened according to their titles, abstracts, and keywords. The second stage involved a full-text review. Finally, a thematic analysis using focused and selective coding was conducted. Results Eighteen studies were analyzed spanning the years 1998 to 2012. The results from our analysis informed the development of a four-stage service-learning framework: 1) planning and preparation, 2) action, 3) reflection and demonstration, and 4) assessment and celebration. Conclusions The presented service-learning framework can be used to develop curricula for the infusion of service-learning in medical school. Service-learning curricula in medical education have the potential to provide myriad benefits to faculty, students, community members, and university-community partnerships. PMID:25341224

  19. Clinical anatomy e-cases: a five-year follow-up of learning analytics.

    PubMed

    Perumal, Vivek; Butson, Russell; Blyth, Phil; Daniel, Ben

    2017-01-27

    This article explores the development and user experiences of a supplementary e-learning resource (clinical anatomy e-cases) for medical students, across a five-year teaching period. A series of online supplementary e-learning resources (the clinical anatomy e-cases) were developed and introduced to the regional and clinical anatomy module of the medicine course. Usage analytics were collected online from a cohort of third-year medical students and analysed to gain a better understanding of how students utilised these resources. Key results showed that the students used the supplementary learning resource during and outside regular teaching hours that includes a significant access during holidays. Analysis also suggested that the resources were frequently accessed during examination periods and during subsequent clinical study years (fourth or fifth years of medicine course). Increasing interest and positive feedback from students has led to the development of a further series of e-cases. Tailor-made e-learning resources promote clinical anatomy learning outside classroom hours and make supplementary learning a 24/7 task.

  20. Conceptual Frameworks for the Workplace Change Adoption Process: Elements Integration from Decision Making and Learning Cycle Process.

    PubMed

    Radin Umar, Radin Zaid; Sommerich, Carolyn M; Lavender, Steve A; Sanders, Elizabeth; Evans, Kevin D

    2018-05-14

    Sound workplace ergonomics and safety-related interventions may be resisted by employees, and this may be detrimental to multiple stakeholders. Understanding fundamental aspects of decision making, behavioral change, and learning cycles may provide insights into pathways influencing employees' acceptance of interventions. This manuscript reviews published literature on thinking processes and other topics relevant to decision making and incorporates the findings into two new conceptual frameworks of the workplace change adoption process. Such frameworks are useful for thinking about adoption in different ways and testing changes to traditional intervention implementation processes. Moving forward, it is recommended that future research focuses on systematic exploration of implementation process activities that integrate principles from the research literature on sensemaking, decision making, and learning processes. Such exploration may provide the groundwork for development of specific implementation strategies that are theoretically grounded and provide a revised understanding of how successful intervention adoption processes work.

  1. A Framework for Simplifying Educator Tasks Related to the Integration of Games in the Learning Flow

    ERIC Educational Resources Information Center

    del Blanco, Angel; Torrente, Javier; Marchiori, Eugenio J.; Martinez-Ortiz, Ivan; Moreno-Ger, Pablo; Fernandez-Manjon, Baltasar

    2012-01-01

    The integration of educational video games in educational settings in general, and e-learning systems in particular, can be challenging for educators. We propose a framework that aims to facilitate educators' participation in the creation and modification of courses that use educational games. Our approach addresses problems identified by previous…

  2. Developing Local Curriculum Framework on Water Resource and Disaster Course for Enhancing Students' Learning Achievements in the Basic Educational System

    ERIC Educational Resources Information Center

    Chunrasaksakun, Chunwadee; Sanrattana, Unchalee; Tungkasamit, Angkana; Srisawat, Niwat

    2015-01-01

    The aim of the paper was to administer and prepare teachers for management to their students' learning achievements within the curriculum framework of water resource and disaster management. This course was compared to manage learning into different school sizes with the sample size in the lower secondary education schools with two groups of 28…

  3. A deep learning framework for modeling structural features of RNA-binding protein targets

    PubMed Central

    Zhang, Sai; Zhou, Jingtian; Hu, Hailin; Gong, Haipeng; Chen, Ligong; Cheng, Chao; Zeng, Jianyang

    2016-01-01

    RNA-binding proteins (RBPs) play important roles in the post-transcriptional control of RNAs. Identifying RBP binding sites and characterizing RBP binding preferences are key steps toward understanding the basic mechanisms of the post-transcriptional gene regulation. Though numerous computational methods have been developed for modeling RBP binding preferences, discovering a complete structural representation of the RBP targets by integrating their available structural features in all three dimensions is still a challenging task. In this paper, we develop a general and flexible deep learning framework for modeling structural binding preferences and predicting binding sites of RBPs, which takes (predicted) RNA tertiary structural information into account for the first time. Our framework constructs a unified representation that characterizes the structural specificities of RBP targets in all three dimensions, which can be further used to predict novel candidate binding sites and discover potential binding motifs. Through testing on the real CLIP-seq datasets, we have demonstrated that our deep learning framework can automatically extract effective hidden structural features from the encoded raw sequence and structural profiles, and predict accurate RBP binding sites. In addition, we have conducted the first study to show that integrating the additional RNA tertiary structural features can improve the model performance in predicting RBP binding sites, especially for the polypyrimidine tract-binding protein (PTB), which also provides a new evidence to support the view that RBPs may own specific tertiary structural binding preferences. In particular, the tests on the internal ribosome entry site (IRES) segments yield satisfiable results with experimental support from the literature and further demonstrate the necessity of incorporating RNA tertiary structural information into the prediction model. The source code of our approach can be found in https

  4. Learning Theory Foundations of Simulation-Based Mastery Learning.

    PubMed

    McGaghie, William C; Harris, Ilene B

    2018-06-01

    Simulation-based mastery learning (SBML), like all education interventions, has learning theory foundations. Recognition and comprehension of SBML learning theory foundations are essential for thoughtful education program development, research, and scholarship. We begin with a description of SBML followed by a section on the importance of learning theory foundations to shape and direct SBML education and research. We then discuss three principal learning theory conceptual frameworks that are associated with SBML-behavioral, constructivist, social cognitive-and their contributions to SBML thought and practice. We then discuss how the three learning theory frameworks converge in the course of planning, conducting, and evaluating SBML education programs in the health professions. Convergence of these learning theory frameworks is illustrated by a description of an SBML education and research program in advanced cardiac life support. We conclude with a brief coda.

  5. Preparing Teacher-Students for Twenty-First-Century Learning Practices (PREP 21): A Framework for Enhancing Collaborative Problem-Solving and Strategic Learning Skills

    ERIC Educational Resources Information Center

    Häkkinen, Päivi; Järvelä, Sanna; Mäkitalo-Siegl, Kati; Ahonen, Arto; Näykki, Piia; Valtonen, Teemu

    2017-01-01

    With regard to the growing interest in developing teacher education to match the twenty-first-century skills, while many assumptions have been made, there has been less theoretical elaboration and empirical research on this topic. The aim of this article is to present our pedagogical framework for the twenty-first-century learning practices in…

  6. Automatic Depth Extraction from 2D Images Using a Cluster-Based Learning Framework.

    PubMed

    Herrera, Jose L; Del-Blanco, Carlos R; Garcia, Narciso

    2018-07-01

    There has been a significant increase in the availability of 3D players and displays in the last years. Nonetheless, the amount of 3D content has not experimented an increment of such magnitude. To alleviate this problem, many algorithms for converting images and videos from 2D to 3D have been proposed. Here, we present an automatic learning-based 2D-3D image conversion approach, based on the key hypothesis that color images with similar structure likely present a similar depth structure. The presented algorithm estimates the depth of a color query image using the prior knowledge provided by a repository of color + depth images. The algorithm clusters this database attending to their structural similarity, and then creates a representative of each color-depth image cluster that will be used as prior depth map. The selection of the appropriate prior depth map corresponding to one given color query image is accomplished by comparing the structural similarity in the color domain between the query image and the database. The comparison is based on a K-Nearest Neighbor framework that uses a learning procedure to build an adaptive combination of image feature descriptors. The best correspondences determine the cluster, and in turn the associated prior depth map. Finally, this prior estimation is enhanced through a segmentation-guided filtering that obtains the final depth map estimation. This approach has been tested using two publicly available databases, and compared with several state-of-the-art algorithms in order to prove its efficiency.

  7. Learning to Teach in the Early Years Classroom

    ERIC Educational Resources Information Center

    Blaise, Mindy; Nuttal, Joce

    2011-01-01

    "Learning to Teach in the Early Years Classroom" helps teacher education students understand the complexities of teaching in early years' classrooms. It integrates research and theory with practice through vignettes, based on authentic classroom case studies, in order to show students how educators make decisions and achieve expected outcomes.…

  8. Exploring Middle School Students' Representational Competence in Science: Development and Verification of a Framework for Learning with Visual Representations

    NASA Astrophysics Data System (ADS)

    Tippett, Christine Diane

    Scientific knowledge is constructed and communicated through a range of forms in addition to verbal language. Maps, graphs, charts, diagrams, formulae, models, and drawings are just some of the ways in which science concepts can be represented. Representational competence---an aspect of visual literacy that focuses on the ability to interpret, transform, and produce visual representations---is a key component of science literacy and an essential part of science reading and writing. To date, however, most research has examined learning from representations rather than learning with representations. This dissertation consisted of three distinct projects that were related by a common focus on learning from visual representations as an important aspect of scientific literacy. The first project was the development of an exploratory framework that is proposed for use in investigations of students constructing and interpreting multimedia texts. The exploratory framework, which integrates cognition, metacognition, semiotics, and systemic functional linguistics, could eventually result in a model that might be used to guide classroom practice, leading to improved visual literacy, better comprehension of science concepts, and enhanced science literacy because it emphasizes distinct aspects of learning with representations that can be addressed though explicit instruction. The second project was a metasynthesis of the research that was previously conducted as part of the Explicit Literacy Instruction Embedded in Middle School Science project (Pacific CRYSTAL, http://www.educ.uvic.ca/pacificcrystal). Five overarching themes emerged from this case-to-case synthesis: the engaging and effective nature of multimedia genres, opportunities for differentiated instruction using multimodal strategies, opportunities for assessment, an emphasis on visual representations, and the robustness of some multimodal literacy strategies across content areas. The third project was a mixed

  9. Implementing a Cooperative Learning Model in Universities

    ERIC Educational Resources Information Center

    Yi, Zeng; LuXi, Zhang

    2012-01-01

    In the past few years, many students have begun to lose interest in science and information and engineering technology courses because they find them too boring and hard to learn. To strengthen this field of education and stimulate students' motivation and interest in learning, this study introduces a theoretical pedagogical framework based on…

  10. Revising the Community of Inquiry Framework for the Analysis of One-to-One Online Learning Relationships

    ERIC Educational Resources Information Center

    Stenbom, Stefan; Jansson, Malin; Hulkko, Annelie

    2016-01-01

    In online learning research, the theoretical community of inquiry framework has been used extensively to analyze processes of inquiry among learners and instructors within a community. This paper examines a special case of community of inquiry consisting of only one learner and one instructor. Together they engage in an online coaching discourse…

  11. Using a Critical Reflection Framework and Collaborative Inquiry to Improve Teaching Practice: An Action Research Project

    ERIC Educational Resources Information Center

    Briscoe, Patricia

    2017-01-01

    This action research reports on a three-year collaborative learning process among three teachers. We used current literature and a critical reflection framework to understand why our teaching approaches were not resulting in increased student learning. This allowed us to examine our previously unrecognized and uninterrupted--and often,…

  12. An expanded framework for biomolecular visualization in the classroom: Learning goals and competencies.

    PubMed

    Dries, Daniel R; Dean, Diane M; Listenberger, Laura L; Novak, Walter R P; Franzen, Margaret A; Craig, Paul A

    2017-01-02

    A thorough understanding of the molecular biosciences requires the ability to visualize and manipulate molecules in order to interpret results or to generate hypotheses. While many instructors in biochemistry and molecular biology use visual representations, few indicate that they explicitly teach visual literacy. One reason is the need for a list of core content and competencies to guide a more deliberate instruction in visual literacy. We offer here the second stage in the development of one such resource for biomolecular three-dimensional visual literacy. We present this work with the goal of building a community for online resource development and use. In the first stage, overarching themes were identified and submitted to the biosciences community for comment: atomic geometry; alternate renderings; construction/annotation; het group recognition; molecular dynamics; molecular interactions; monomer recognition; symmetry/asymmetry recognition; structure-function relationships; structural model skepticism; and topology and connectivity. Herein, the overarching themes have been expanded to include a 12th theme (macromolecular assemblies), 27 learning goals, and more than 200 corresponding objectives, many of which cut across multiple overarching themes. The learning goals and objectives offered here provide educators with a framework on which to map the use of molecular visualization in their classrooms. In addition, the framework may also be used by biochemistry and molecular biology educators to identify gaps in coverage and drive the creation of new activities to improve visual literacy. This work represents the first attempt, to our knowledge, to catalog a comprehensive list of explicit learning goals and objectives in visual literacy. © 2016 by The International Union of Biochemistry and Molecular Biology, 45(1):69-75, 2017. © 2016 The Authors Biochemistry and Molecular Biology Education published by Wiley Periodicals, Inc. on behalf of International Union

  13. A Complete Validated Learning Analytics Framework: Designing Issues from Data Preparation Perspective

    ERIC Educational Resources Information Center

    Tlili, Ahmed; Essalmi, Fathi; Jemni, Mohamed; Kinshuk; Chen, Nian-Shing

    2018-01-01

    With the rapid growth of online education in recent years, Learning Analytics (LA) has gained increasing attention from researchers and educational institutions as an area which can improve the overall effectiveness of learning experiences. However, the lack of guidelines on what should be taken into consideration during application of LA hinders…

  14. An evaluation framework for participatory modelling

    NASA Astrophysics Data System (ADS)

    Krueger, T.; Inman, A.; Chilvers, J.

    2012-04-01

    Strong arguments for participatory modelling in hydrology can be made on substantive, instrumental and normative grounds. These arguments have led to increasingly diverse groups of stakeholders (here anyone affecting or affected by an issue) getting involved in hydrological research and the management of water resources. In fact, participation has become a requirement of many research grants, programs, plans and policies. However, evidence of beneficial outcomes of participation as suggested by the arguments is difficult to generate and therefore rare. This is because outcomes are diverse, distributed, often tacit, and take time to emerge. In this paper we develop an evaluation framework for participatory modelling focussed on learning outcomes. Learning encompasses many of the potential benefits of participation, such as better models through diversity of knowledge and scrutiny, stakeholder empowerment, greater trust in models and ownership of subsequent decisions, individual moral development, reflexivity, relationships, social capital, institutional change, resilience and sustainability. Based on the theories of experiential, transformative and social learning, complemented by practitioner experience our framework examines if, when and how learning has occurred. Special emphasis is placed on the role of models as learning catalysts. We map the distribution of learning between stakeholders, scientists (as a subgroup of stakeholders) and models. And we analyse what type of learning has occurred: instrumental learning (broadly cognitive enhancement) and/or communicative learning (change in interpreting meanings, intentions and values associated with actions and activities; group dynamics). We demonstrate how our framework can be translated into a questionnaire-based survey conducted with stakeholders and scientists at key stages of the participatory process, and show preliminary insights from applying the framework within a rural pollution management situation in

  15. Word Learning from Videos: More Evidence from 2-Year-Olds

    ERIC Educational Resources Information Center

    Allen, Rebekah; Scofield, Jason

    2010-01-01

    Young children are frequently exposed to examples of screen media like videos. The current studies asked whether videos would support word learning and whether word learning from videos might resemble word learning from a live speaker. In Study 1, 2-year-olds saw a video of a target image being labelled with a novel word and were later asked to…

  16. Using Campinha-Bacote's Framework to Examine Cultural Competence from an Interdisciplinary International Service Learning Program

    ERIC Educational Resources Information Center

    Wall-Bassett, Elizabeth DeVane; Hegde, Archana Vasudeva; Craft, Katelyn; Oberlin, Amber Louise

    2018-01-01

    The purpose of this study was to investigate an interdisciplinary international service learning program and its impact on student sense of cultural awareness and competence using the Campinha-Bacote's (2002) framework of cultural competency model. Seven undergraduate and one graduate student from Human Development and Nutrition Science…

  17. Drawing-to-Learn: A Framework for Using Drawings to Promote Model-Based Reasoning in Biology

    PubMed Central

    Quillin, Kim; Thomas, Stephen

    2015-01-01

    The drawing of visual representations is important for learners and scientists alike, such as the drawing of models to enable visual model-based reasoning. Yet few biology instructors recognize drawing as a teachable science process skill, as reflected by its absence in the Vision and Change report’s Modeling and Simulation core competency. Further, the diffuse research on drawing can be difficult to access, synthesize, and apply to classroom practice. We have created a framework of drawing-to-learn that defines drawing, categorizes the reasons for using drawing in the biology classroom, and outlines a number of interventions that can help instructors create an environment conducive to student drawing in general and visual model-based reasoning in particular. The suggested interventions are organized to address elements of affect, visual literacy, and visual model-based reasoning, with specific examples cited for each. Further, a Blooming tool for drawing exercises is provided, as are suggestions to help instructors address possible barriers to implementing and assessing drawing-to-learn in the classroom. Overall, the goal of the framework is to increase the visibility of drawing as a skill in biology and to promote the research and implementation of best practices. PMID:25713094

  18. Disciplinary Literacies and Learning to Read for Understanding: A Conceptual Framework of Core Processes and Constructs

    ERIC Educational Resources Information Center

    Goldman, Susan R.; Britt, M. Anne; Brown, Willard; Cribb, Gayle; George, MariAnne; Greenleaf, Cynthia; Lee, Carol D.; Shanahan, Cynthia

    2016-01-01

    This paper presents a framework and methodology for designing learning goals targeted at what students need to know and be able to do in order to attain high levels of literacy and achievement in three disciplinary areas--literature, science, and history. For each discipline, a team of researchers, teachers, and specialists in that discipline…

  19. Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning.

    PubMed

    van Ginneken, Bram

    2017-03-01

    Half a century ago, the term "computer-aided diagnosis" (CAD) was introduced in the scientific literature. Pulmonary imaging, with chest radiography and computed tomography, has always been one of the focus areas in this field. In this study, I describe how machine learning became the dominant technology for tackling CAD in the lungs, generally producing better results than do classical rule-based approaches, and how the field is now rapidly changing: in the last few years, we have seen how even better results can be obtained with deep learning. The key differences among rule-based processing, machine learning, and deep learning are summarized and illustrated for various applications of CAD in the chest.

  20. Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework

    NASA Astrophysics Data System (ADS)

    Linn, Marcia C.

    1995-06-01

    Designing effective curricula for complex topics and incorporating technological tools is an evolving process. One important way to foster effective design is to synthesize successful practices. This paper describes a framework called scaffolded knowledge integration and illustrates how it guided the design of two successful course enhancements in the field of computer science and engineering. One course enhancement, the LISP Knowledge Integration Environment, improved learning and resulted in more gender-equitable outcomes. The second course enhancement, the spatial reasoning environment, addressed spatial reasoning in an introductory engineering course. This enhancement minimized the importance of prior knowledge of spatial reasoning and helped students develop a more comprehensive repertoire of spatial reasoning strategies. Taken together, the instructional research programs reinforce the value of the scaffolded knowledge integration framework and suggest directions for future curriculum reformers.

  1. Toward a Personal Learning Environment Framework

    ERIC Educational Resources Information Center

    Chatti, Mohamed Amine; Agustiawan, Mohammad Ridwan; Jarke, Matthias; Specht, Marcus

    2010-01-01

    Over the past decade, it has been argued that technology-enhanced learning (TEL) could respond to the needs of the new knowledge society and transform learning. However, despite isolated achievements, TEL has not succeeded in revolutionizing education and learning processes. Most current TEL initiatives still take a centralized technology-push…

  2. A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

    USGS Publications Warehouse

    Nolan, Bernard T.; Fienen, Michael N.; Lorenz, David L.

    2015-01-01

    We used a statistical learning framework to evaluate the ability of three machine-learning methods to predict nitrate concentration in shallow groundwater of the Central Valley, California: boosted regression trees (BRT), artificial neural networks (ANN), and Bayesian networks (BN). Machine learning methods can learn complex patterns in the data but because of overfitting may not generalize well to new data. The statistical learning framework involves cross-validation (CV) training and testing data and a separate hold-out data set for model evaluation, with the goal of optimizing predictive performance by controlling for model overfit. The order of prediction performance according to both CV testing R2 and that for the hold-out data set was BRT > BN > ANN. For each method we identified two models based on CV testing results: that with maximum testing R2 and a version with R2 within one standard error of the maximum (the 1SE model). The former yielded CV training R2 values of 0.94–1.0. Cross-validation testing R2 values indicate predictive performance, and these were 0.22–0.39 for the maximum R2 models and 0.19–0.36 for the 1SE models. Evaluation with hold-out data suggested that the 1SE BRT and ANN models predicted better for an independent data set compared with the maximum R2 versions, which is relevant to extrapolation by mapping. Scatterplots of predicted vs. observed hold-out data obtained for final models helped identify prediction bias, which was fairly pronounced for ANN and BN. Lastly, the models were compared with multiple linear regression (MLR) and a previous random forest regression (RFR) model. Whereas BRT results were comparable to RFR, MLR had low hold-out R2 (0.07) and explained less than half the variation in the training data. Spatial patterns of predictions by the final, 1SE BRT model agreed reasonably well with previously observed patterns of nitrate occurrence in groundwater of the Central Valley.

  3. Lifelong Learning: Conceptualizations in European Educational Policy Documents

    ERIC Educational Resources Information Center

    Alves, Mariana Gaio; Neves, Claudia; Gomes, Elisabete Xavier

    2010-01-01

    Over recent years, lifelong learning has been a central and guiding principle in the formulation of European educational policies. Within this general framework, the authors have been developing a research project that allows them to approach the theme of lifelong learning and European educational policies, taking into account four levels of…

  4. Emerging Technologies as Cognitive Tools for Authentic Learning

    ERIC Educational Resources Information Center

    Herrington, Jan; Parker, Jenni

    2013-01-01

    Employing emerging technologies in learning is becoming increasingly important as a means to support the development of digital media literacy. Using a theoretical framework of authentic learning and technology as cognitive tools, this paper examined student responses to the infusion of emerging technologies in a large first year teacher education…

  5. A program wide framework for evaluating data driven teaching and learning - earth analytics approaches, results and lessons learned

    NASA Astrophysics Data System (ADS)

    Wasser, L. A.; Gold, A. U.

    2017-12-01

    There is a deluge of earth systems data available to address cutting edge science problems yet specific skills are required to work with these data. The Earth analytics education program, a core component of Earth Lab at the University of Colorado - Boulder - is building a data intensive program that provides training in realms including 1) interdisciplinary communication and collaboration 2) earth science domain knowledge including geospatial science and remote sensing and 3) reproducible, open science workflows ("earth analytics"). The earth analytics program includes an undergraduate internship, undergraduate and graduate level courses and a professional certificate / degree program. All programs share the goals of preparing a STEM workforce for successful earth analytics driven careers. We are developing an program-wide evaluation framework that assesses the effectiveness of data intensive instruction combined with domain science learning to better understand and improve data-intensive teaching approaches using blends of online, in situ, asynchronous and synchronous learning. We are using targeted online search engine optimization (SEO) to increase visibility and in turn program reach. Finally our design targets longitudinal program impacts on participant career tracts over time.. Here we present results from evaluation of both an interdisciplinary undergrad / graduate level earth analytics course and and undergraduate internship. Early results suggest that a blended approach to learning and teaching that includes both synchronous in-person teaching and active classroom hands-on learning combined with asynchronous learning in the form of online materials lead to student success. Further we will present our model for longitudinal tracking of participant's career focus overtime to better understand long-term program impacts. We also demonstrate the impact of SEO optimization on online content reach and program visibility.

  6. Introducing a New Learning and Teaching Evaluation Planning Framework for Small Internally Funded Projects in Higher Education

    ERIC Educational Resources Information Center

    Huber, Elaine

    2017-01-01

    Scholarly evaluation practices in learning and teaching projects are under-reported in the literature. In order for robust evaluative measures to be implemented, a project requires a well-designed evaluation plan. This research study describes the development of a practical evaluation planning framework through an action research approach, using…

  7. Children at Play: Learning Gender in the Early Years

    ERIC Educational Resources Information Center

    Martin, Barbara

    2011-01-01

    This captivating book illuminates our understanding of how young children develop gender identities. A two year longitudinal research project on children's own understandings of gender casts new light on how 3 and 4 year old newcomers in early years classes learn rules for gendered behaviour from older children, in their imaginative and…

  8. Wearable Sensor Data Classification for Human Activity Recognition Based on an Iterative Learning Framework.

    PubMed

    Davila, Juan Carlos; Cretu, Ana-Maria; Zaremba, Marek

    2017-06-07

    The design of multiple human activity recognition applications in areas such as healthcare, sports and safety relies on wearable sensor technologies. However, when making decisions based on the data acquired by such sensors in practical situations, several factors related to sensor data alignment, data losses, and noise, among other experimental constraints, deteriorate data quality and model accuracy. To tackle these issues, this paper presents a data-driven iterative learning framework to classify human locomotion activities such as walk, stand, lie, and sit, extracted from the Opportunity dataset. Data acquired by twelve 3-axial acceleration sensors and seven inertial measurement units are initially de-noised using a two-stage consecutive filtering approach combining a band-pass Finite Impulse Response (FIR) and a wavelet filter. A series of statistical parameters are extracted from the kinematical features, including the principal components and singular value decomposition of roll, pitch, yaw and the norm of the axial components. The novel interactive learning procedure is then applied in order to minimize the number of samples required to classify human locomotion activities. Only those samples that are most distant from the centroids of data clusters, according to a measure presented in the paper, are selected as candidates for the training dataset. The newly built dataset is then used to train an SVM multi-class classifier. The latter will produce the lowest prediction error. The proposed learning framework ensures a high level of robustness to variations in the quality of input data, while only using a much lower number of training samples and therefore a much shorter training time, which is an important consideration given the large size of the dataset.

  9. Interactive Radiological Anatomy eLearning Solution for First Year Medical Students: Development, Integration, and Impact on Learning

    ERIC Educational Resources Information Center

    Webb, Alexandra Louise; Choi, Sunhea

    2014-01-01

    A technology enhanced learning and teaching (TELT) solution, radiological anatomy (RA) eLearning, composed of a range of identification-based and guided learning activities related to normal and pathological X-ray images, was devised for the Year 1 nervous and locomotor course at the Faculty of Medicine, University of Southampton. Its…

  10. Mobile Learning: A Framework and Evaluation

    ERIC Educational Resources Information Center

    Motiwalla, Luvai F.

    2007-01-01

    Wireless data communications in form of Short Message Service (SMS) and Wireless Access Protocols (WAP) browsers have gained global popularity, yet, not much has been done to extend the usage of these devices in electronic learning (e-learning). This project explores the extension of e-learning into wireless/handheld (W/H) computing devices with…

  11. Learning to learn physics: The implementation of process-oriented instruction in the first year of higher education

    NASA Astrophysics Data System (ADS)

    Vertenten, Kristin

    2002-01-01

    Finding a way to encourage first year students to use deep processing strategies was the aim of this research. The need for an adequate method became clear after using the Inventory of Learning Styles (ILS) of Vermunt: almost half of the first year students turned out to have an undirected or a reproduction-directed learning style. A possible intervention is process-oriented instruction. In this type of instruction learning strategies are taught in coherence with domain specific knowledge. The emphasis is on a gradual transfer from a strongly instruction-guided regulation of the learning process towards a student-regulation. By promoting congruence and constructive frictions between instruction and learning strategies, students are challenged to improve their learning strategies. These general features of process-oriented instruction were refined by Vermunt (1992) in twelve general and specific principles. Literature was studied in which researchers reported about their experiences with interventions aimed at teaching physics knowledge, physics strategies and/or learning and thinking strategies. It became obvious that several successful interventions stressed four principles: (1) the student must experience (constructive) f&barbelow;rictions, including cognitive conflicts; (2) he must be encouraged to ṟeflect on his experiences (thinking about them and analysing them); (3) the instruction must e&barbelow;xplicate and demonstrate the necessary knowledge and strategies; and (4) the student must be given the opportunity to practice (ḏoing) with the learned knowledge and strategies. These four FRED-principles are useful for teaching both general and domain specific knowledge and strategies. They show similarities with the four stages in the learning cycle of Kolb (1984). Moreover, other elements of process-oriented instruction are also depicted by the learning cycle, which, when used in process-oriented instruction, has to start with experiencing (constructive

  12. 10 Years of "Adult Learning": Content Analysis of an Academic Journal

    ERIC Educational Resources Information Center

    Cherrstrom, Catherine A.; Robbins, Stacey E.; Bixby, John

    2017-01-01

    Academic publications provide insights into a discipline's history, knowledge base, and research norms, and thus analyzing publication activity provides learning about the field of study. To learn more about the field of adult and continuing education, this study used content analysis to examine 10 years of "Adult Learning" from 2006…

  13. Orchid: a novel management, annotation and machine learning framework for analyzing cancer mutations.

    PubMed

    Cario, Clinton L; Witte, John S

    2018-03-15

    As whole-genome tumor sequence and biological annotation datasets grow in size, number and content, there is an increasing basic science and clinical need for efficient and accurate data management and analysis software. With the emergence of increasingly sophisticated data stores, execution environments and machine learning algorithms, there is also a need for the integration of functionality across frameworks. We present orchid, a python based software package for the management, annotation and machine learning of cancer mutations. Building on technologies of parallel workflow execution, in-memory database storage and machine learning analytics, orchid efficiently handles millions of mutations and hundreds of features in an easy-to-use manner. We describe the implementation of orchid and demonstrate its ability to distinguish tissue of origin in 12 tumor types based on 339 features using a random forest classifier. Orchid and our annotated tumor mutation database are freely available at https://github.com/wittelab/orchid. Software is implemented in python 2.7, and makes use of MySQL or MemSQL databases. Groovy 2.4.5 is optionally required for parallel workflow execution. JWitte@ucsf.edu. Supplementary data are available at Bioinformatics online.

  14. The influence of interdisciplinary collaboration on decision making: a framework to analyse stakeholder coalitions, evolution and learning in strategic delta planning

    NASA Astrophysics Data System (ADS)

    Vermoolen, Myrthe; Hermans, Leon

    2015-04-01

    interdisciplinary collaboration. The question here is how to combine policy science frameworks (e.g. the Advocacy Coalition Framework) and social network methods (e.g. Social Network Analysis) with frameworks that allow a connection with the physical delta systems. This will result in a new framework for analysing interdisciplinary stakeholder coalitions, evolution and learning in strategic delta planning. The use of this framework will be illustrated with an example from strategic delta planning in the Dutch Southwest Delta. With this, we want to see how spatial planning and water management disciplines have combined into new policies for delta management in the Netherlands over the past 25 years.

  15. Building Global Learning Communities

    ERIC Educational Resources Information Center

    Cochrane, Thomas; Buchem, Ilona; Camacho, Mar; Cronin, Catherine; Gordon, Averill; Keegan, Helen

    2013-01-01

    Within the background where education is increasingly driven by the economies of scale and research funding, we propose an alternative online open and connected framework (OOC) for building global learning communities using mobile social media. We critique a three year action research case study involving building collaborative global learning…

  16. Comprehensive Framework for Evaluating e-Learning Systems: Using BSC Framework

    ERIC Educational Resources Information Center

    Momeni, Mansor; Jamporazmey, Mona; Mehrafrouz, Mohsen; Bahadori, Fatemeh

    2013-01-01

    The development of information and communication technology (ICT) is changing the way in which people work, communicate and learn. Recently developing and implementing e-learning solutions have increased dramatically. According to heavily investing in this area, it is essential to evaluate its different aspects and understand measures, which…

  17. Interactive radiological anatomy eLearning solution for first year medical students: Development, integration, and impact on learning.

    PubMed

    Webb, Alexandra Louise; Choi, Sunhea

    2014-01-01

    A technology enhanced learning and teaching (TELT) solution, radiological anatomy (RA) eLearning, composed of a range of identification-based and guided learning activities related to normal and pathological X-ray images, was devised for the Year 1 nervous and locomotor course at the Faculty of Medicine, University of Southampton. Its effectiveness was evaluated using a questionnaire, pre- and post-tests, focus groups, summative assessment, and tracking data. Since introduced in 2009, a total of 781 students have used RA eLearning, and among them 167 Year 1 students in 2011, of whom 116 participated in the evaluation study. Students enjoyed learning (77%) with RA eLearning, found it was easy to use (81%) and actively engaged them in their learning (75%), all of which were associated to the usability, learning design of the TELT solution and its integration in the curriculum; 80% of students reported RA eLearning helped their revision of anatomy and 69% stated that it facilitated their application of anatomy in a clinical context, both of which were associated with the benefits offered by the learning and activities design. At the end of course summative assessment, student knowledge of RA eLearning relevant topics (mean 80%; SD ±16) was significantly better as compared to topics not relevant to RA eLearning (mean 63%; SD ±15) (mean difference 18%; 95% CI 15% to 20%; P < 0.001). A well designed and integrated TELT solution can be an efficient method for facilitating the application, integration, and contextualization of anatomy and radiology to create a blended learning environment. © 2013 American Association of Anatomists.

  18. Teaching Innovation and Use of the ICT in the Teaching-Learning Process within the New Framework of the EHEA, by Means of Moodle Platform

    ERIC Educational Resources Information Center

    Ciudad-Gómez, Adelaida

    2010-01-01

    The framework of the European Higher Education Area (EHEA) has turned the student into the main protagonist of the new educational scenario, and the teacher into the coordinator of teaching-learning process instead of transmitter of knowledge. In this new model of learning, the use of ICT is facilitating competency-based learning and the…

  19. Reference Framework for Describing and Assessing Students' Understanding in First Year Calculus

    ERIC Educational Resources Information Center

    Kannemeyer, Larry

    2005-01-01

    This paper presents aspects of a study that investigates the development of an instrument, a reference framework, to analyse students' written responses to non-routine problems in a first year calculus course in order to describe the complexities of their understanding and to assess their understanding of particular mathematical concepts.…

  20. Roles and Domains to Teach in Online Learning Environments: Educational ICT Competency Framework for University Teachers

    NASA Astrophysics Data System (ADS)

    Guasch, Teresa; Alvarez, Ibis; Espasa, Anna

    This chapter is aimed at presenting an integrated framework of the educational information and communications technology (ICT) competencies that university teachers should have to teach in an online learning environment. Teaching through ICT in higher education involves performing three main roles - pedagogical, socialist, and design/planning - and also two cross-cutting domains that arise from the online environment: technological and managerial. This framework as well as the competencies for university teachers associated with it were validated at a European level by a dual process of net-based focus groups of teachers and teacher trainers in each of the participating countries in a European Project (Elene-TLC) and an online Delphi method involving 78 experts from 14 universities of ten European countries. The competency framework and the examples provided in the chapter are the basis for designing innovative professional development activities in online university environments.

  1. Using Game Theory and Competition-Based Learning to Stimulate Student Motivation and Performance

    ERIC Educational Resources Information Center

    Burguillo, Juan C.

    2010-01-01

    This paper introduces a framework for using Game Theory tournaments as a base to implement Competition-based Learning (CnBL), together with other classical learning techniques, to motivate the students and increase their learning performance. The paper also presents a description of the learning activities performed along the past ten years of a…

  2. Service-Learning and the First-Year Experience: Preparing Students for Personal Success and Civic Responsibility. The First-Year Experience Monograph Series.

    ERIC Educational Resources Information Center

    Zlotkowski, Edward, Ed.

    This collection presents essays on service-learning and its role in the education of first-year college students. Following a preface by John N. Gardner and an introduction by Edward Zlotkowski, the chapters of section 1, "Making the Case for Service-Learning in the First Year of College," are: (1) "High School Service-Learning and the Preparation…

  3. Infants of the Knowledge Economy: The Ambition of the Australian Government's Early Years Learning Framework

    ERIC Educational Resources Information Center

    Cheeseman, Sandra; Sumsion, Jennifer; Press, Frances

    2014-01-01

    Shifts in global education policy to formalise curricula and make explicit learning outcomes for ever younger children have become popular for a number of countries responding to changes in global market economics. Human capital discourses, broadly aimed at shaping national prosperity, have entered the early childhood education and care policy…

  4. The Early Years: Development, Learning and Teaching.

    ERIC Educational Resources Information Center

    Boulton-Lewis, Gillian, Ed.; Catherwood, Di, Ed.

    Designed for teachers, students, caregivers, and health professionals who work with children from birth to age 8, this book provides a review of recent research and theories of development and learning in the early childhood years, with an emphasis on implications for effective teaching. Where appropriate, the book takes an Australian perspective,…

  5. In Search of Social Movement Learning: The Growing Jobs for Living Project. NALL Working Paper.

    ERIC Educational Resources Information Center

    Clover, Darlene E.; Hall, Budd L.

    The New Approaches to Lifelong Learning (NALL) project is a Canada-wide 5-year research initiative during which more than 70 academic and community members are working collaboratively within a framework of informal learning to address the following issues: informal computer-based learning, recognition of prior learning, informal learning in a…

  6. Introductory Biology Courses: A Framework To Support Active Learning in Large Enrollment Introductory Science Courses

    PubMed Central

    2005-01-01

    Active learning and research-oriented activities have been increasingly used in smaller, specialized science courses. Application of this type of scientific teaching to large enrollment introductory courses has been, however, a major challenge. The general microbiology lecture/laboratory course described has been designed to incorporate published active-learning methods. Three major case studies are used as platforms for active learning. Themes from case studies are integrated into lectures and laboratory experiments, and in class and online discussions and assignments. Students are stimulated to apply facts to problem-solving and to learn research skills such as data analysis, writing, and working in teams. This course is feasible only because of its organizational framework that makes use of teaching teams (made up of faculty, graduate assistants, and undergraduate assistants) and Web-based technology. Technology is a mode of communication, but also a system of course management. The relevance of this model to other biology courses led to assessment and evaluation, including an analysis of student responses to the new course, class performance, a university course evaluation, and retention of course learning. The results are indicative of an increase in student engagement in research-oriented activities and an appreciation of real-world context by students. PMID:15917873

  7. Intervening or Ignoring: Learning about Teaching in New Times

    ERIC Educational Resources Information Center

    Blaise, Mindy; Elsden-Clifton, Jennifer

    2007-01-01

    In response to the rise of collaborative learning within education, two teacher educators redesigned their courses to explore the complexities of pedagogy within a New Learning framework. Multi-age grouping provided opportunities for pre-service teachers to work with others from different year levels on an interdisciplinary assessment task. As a…

  8. Perry's Scheme of Intellectual and Epistemological Development as a Framework for Describing Student Difficulties in Learning Organic Chemistry

    ERIC Educational Resources Information Center

    Grove, Nathaniel P.; Bretz, Stacey Lowery

    2010-01-01

    We have investigated student difficulties with the learning of organic chemistry. Using Perry's Model of Intellectual Development as a framework revealed that organic chemistry students who function as dualistic thinkers struggle with the complexity of the subject matter. Understanding substitution/elimination reactions and multi-step syntheses is…

  9. Approaches to Learning in a Second Year Chemical Engineering Course.

    ERIC Educational Resources Information Center

    Case, Jennifer M.; Gunstone, Richard F.

    2003-01-01

    Investigates student approaches to learning in a second year chemical engineering course by means of a qualitative research project which utilized interview and journal data from a group of 11 students. Identifies three approaches to learning: (1) conceptual; (2) algorithmic; and (3) information-based. Presents student responses to a series of…

  10. The CAI/Cooperative Learning Project. First Year Evaluation Report.

    ERIC Educational Resources Information Center

    Beyer, Francine S.

    This report presents a first year evaluation of the Computer Assisted Instruction (CAI)/ Cooperative Learning Project, a 3-year collaborative effort by two Pennsylvania school districts--the Pittston Area School District and the Hatboro-Horsham School District--and Research for Better Schools (RBS). The project proposed to integrate advanced…

  11. The Impact of First-Year Seminars on College Students' Life-Long Learning Orientations

    ERIC Educational Resources Information Center

    Padgett, Ryan D.; Keup, Jennifer R.; Pascarella, Ernest T.

    2013-01-01

    Using longitudinal data from the Wabash National Study of Liberal Arts Education, this study measured the impact of first-year seminars on college students' life-long learning orientations. The findings suggest that first-year seminars enhance students' life-long learning orientations and that the effect of first-year seminars is mediated through…

  12. Conceptual Frameworks beyond the Learning Organisation.

    ERIC Educational Resources Information Center

    Griffey, Simon

    1998-01-01

    The learning organization concept is the lowest of a three-stage hierarchy of learning-wisdom-enlightenment. This sequence is related to the evolution of the human mind from prepersonal to personal to transpersonal. (SK)

  13. Clinical experiences with laser-welded titanium frameworks supported by implants in the edentulous mandible: a 5-year follow-up study.

    PubMed

    Ortorp, A; Linden, B; Jemt, T

    1999-01-01

    The purpose of this study was to report the 5-year clinical performance of implant-supported prostheses with laser-welded titanium frameworks and to compare their performance with that of prostheses provided with conventional cast frameworks. On a routine basis, a consecutive group of 824 edentulous patients were provided with fixed prostheses supported by implants in the edentulous mandible. In addition to conventional gold-alloy castings, patients were at random provided with 2 kinds of laser-welded titanium frameworks. In all, 155 patients were included in the 2 titanium framework groups. A control group of 53 randomly selected patients with conventional gold-alloy castings was used for comparison. Clinical and radiographic 5-year data was collected for the 3 groups. All followed patients still had fixed prostheses in the mandible after 5 years. The overall cumulative success rates were 95.9% and 99.7% for titanium-framework prostheses and implants, respectively. The corresponding success rates for the control group were 100% and 99.6%, respectively. Bone loss was 0.5 mm on average during the 5-year follow-up period. The most common complications for titanium frameworks were resin or tooth fractures, gingival inflammation, and fractures of the metal frames (10%). One of the cast frameworks fractured and was resoldered. Loose and fractured implant screw components were few (< 1%). Even though the cast frameworks had a higher success rate, the overall titanium framework treatment result was well in accordance with the result of the control group. The test groups performed better after clinicians had gained some experience with the technique, and laser-welded titanium frameworks seem to be a viable alternative to conventional castings in the edentulous mandible.

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

    PubMed

    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

  15. Conceptualising mLearning Literacy

    ERIC Educational Resources Information Center

    Ng, Wan

    2013-01-01

    Research into the educational application of mobile technologies has increased dramatically in recent years. Much has been written about mobile learning and its various pedagogical practices and issues as well as the theoretical frameworks that have been developed to underpin the studies in the reports. However, little has been written about the…

  16. Interest and Self-Sustained Learning as Catalysts of Development: A Learning Ecology Perspective

    ERIC Educational Resources Information Center

    Barron, Brigid

    2006-01-01

    Adolescents often pursue learning opportunities both in and outside school once they become interested in a topic. In this paper, a learning ecology framework and an associated empirical research agenda are described. This framework highlights the need to better understand how learning outside school relates to learning within schools or other…

  17. Approaches to Learning of First-Year and Fifth-Year Student Teachers: Are There Any Differences?

    ERIC Educational Resources Information Center

    Marušic, Iris; Jugovic, Ivana; Loncaric, Darko

    2017-01-01

    The motivation, skills and professional identity of future teachers develop during their initial teacher education. The aim of this research is to assess the differences between first-year and fifth-year student teachers on a number of personality and motivational variables that are indicative of their approaches to learning, using a…

  18. The development of Sustainability Graduate Community (SGC) as a learning pathway for sustainability education - a framework for engineering programmes in Malaysia Technical Universities Network (MTUN)

    NASA Astrophysics Data System (ADS)

    Johan, Kartina; Mohd Turan, Faiz

    2016-11-01

    ‘Environmental and sustainability’ is one of the Program Outcome (PO) designated by the Board of Engineers Malaysia (BEM) as one of the accreditation program requirement. However, to-date the implementation of sustainability elements in engineering programme in the technical universities in Malaysia is within individual faculty's curriculum plan and lack of university-level structured learning pathway, which enable all students to have access to an education in sustainability across all disciplines. Sustainability Graduate Community (SGC) is a framework designed to provide a learning pathway in the curriculum of engineering programs to inculcate sustainability education among engineering graduates. This paper aims to study the required attributes in Sustainability Graduate Community (SGC) framework to produce graduates who are not just engineers but also skilful in sustainability competencies using Global Project Management (GPM) P5 Standard for Sustainability. The development of the conceptual framework is to provide a constructive teaching and learning plan for educators and policy makers to work on together in developing the Sustainability Graduates (SG), the new kind of graduates from Malaysia Technical Universities Network (MTUN) in Malaysia who are literate in sustainability practices. The framework also support the call for developing holistic students based on Malaysian Education Blueprint (Higher Education) and address the gap between the statuses of engineering qualification to the expected competencies from industries in Malaysia in particular by achieving the SG attributes outlined in the framework

  19. The discipline of hospital development: a conceptual framework incorporating marketing, managerial, consumer behavior, and adult learning theories.

    PubMed

    Shirley, S; Stampfl, R

    1997-12-01

    The purpose of this explanatory and prescriptive article is to identify interdisciplinary theories used by hospital development to direct its practice. The article explores, explains, and applies theories and principles from behavioral, social, and managerial disciplines. Learning, motivational, organizational, marketing, and attitudinal theories are incorporated and transformed into the fundamental components of a conceptual framework that provides an overview of the practice of hospital development. How this discipline incorporates these theories to design, explain, and prescribe the focus of its own practice is demonstrated. This interdisciplinary approach results in a framework for practice that is adaptable to changing social, cultural, economic, political, and technological environments.

  20. Learning Resources Organization Using Ontological Framework

    NASA Astrophysics Data System (ADS)

    Gavrilova, Tatiana; Gorovoy, Vladimir; Petrashen, Elena

    The paper describes the ontological approach to the knowledge structuring for the e-learning portal design as it turns out to be efficient and relevant to current domain conditions. It is primarily based on the visual ontology-based description of the content of the learning materials and this helps to provide productive and personalized access to these materials. The experience of ontology developing for Knowledge Engineering coursetersburg State University is discussed and “OntolingeWiki” tool for creating ontology-based e-learning portals is described.

  1. Collaborative Learning Utilizing a Domain-Based Shared Data Repository to Enhance Learning Outcomes

    ERIC Educational Resources Information Center

    Lubliner, David; Widmeyer, George; Deek, Fadi P.

    2009-01-01

    The objective of this study was to determine whether there was a quantifiable improvement in learning outcomes by integrating course materials in a 4-year baccalaureate program, utilizing a knowledge repository with a conceptual map that spans a discipline. Two new models were developed to provide the framework for this knowledge repository. A…

  2. Teaching Writing within the Common European Framework of Reference (CEFR): A Supplement Asynchronous Blended Learning Approach in an EFL Undergraduate Course in Egypt

    ERIC Educational Resources Information Center

    Shaarawy, Hanaa Youssef; Lotfy, Nohayer Esmat

    2013-01-01

    Based on the Common European Framework of Reference (CEFR) and following a blended learning approach (a supplement model), this article reports on a quasi-experiment where writing was taught evenly with other language skills in everyday language contexts and where asynchronous online activities were required from students to extend learning beyond…

  3. Relationships between Learning Approach, Procrastination and Academic Achievement amongst First-Year University Students

    ERIC Educational Resources Information Center

    Saele, Rannveig Grøm; Dahl, Tove Irene; Sørlie, Tore; Friborg, Oddgeir

    2017-01-01

    Individual differences in student learning influence academic performance, and two aspects influencing the learning process are the particular learning approach the students use and procrastination behaviour. We examined the relationships between learning approaches, procrastination and academic achievement (measured 1 year later as the grade…

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

    PubMed Central

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

    2015-01-01

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

  5. On the design of learning outcomes for the undergraduate engineer's final year project

    NASA Astrophysics Data System (ADS)

    Thambyah, Ashvin

    2011-03-01

    The course for the final year project for engineering students, because of its strongly research-based, open-ended format, tends to not have well defined learning outcomes, which are also not aligned with any accepted pedagogical philosophy or learning technology. To address this problem, the revised Bloom's taxonomy table of Anderson and Krathwohl (2001) is utilised, as suggested previously by Lee and Lai (2007), to design new learning outcomes for the final year project course in engineering education. Based on the expectations of the engineering graduate, and integrating these graduate expectations into the six cognitive processes and four knowledge dimensions of the taxonomy table, 24 learning outcomes have been designed. It is proposed that these 24 learning outcomes be utilised as a suitable working template to inspire more critical evaluation of what is expected to be learnt by engineering students undertaking final year research or capstone projects.

  6. Promoting Socially Shared Metacognitive Regulation in Collaborative Project-Based Learning: A Framework for the Design of Structured Guidance

    ERIC Educational Resources Information Center

    Kim, Dongho; Lim, Cheolil

    2018-01-01

    Despite the emergence of collaborative project-based learning in higher education settings, how it can be supported has received little attention. We noted the positive impact of socially shared metacognitive regulation on students' collaboration processes. The purpose of this study was to present a framework for the design and implementation of…

  7. The Impact of the Digital Divide on First-Year Community College Students

    ERIC Educational Resources Information Center

    Mansfield, Malinda

    2017-01-01

    Some students do not possess the learning management system (LMS) and basic computer skills needed for success in first-year experience (FYE) courses. The purpose of this quantitative study, based on the Integrative Learning Design Framework and theory of transactional distance, was to identify what basic computer skills and LMS skills are needed…

  8. What Is Next after 40 Years? Part 2: Prior Learning Assessment--2012 and after

    ERIC Educational Resources Information Center

    Travers, Nan L.

    2012-01-01

    The previous article, "Prior Learning Assessment: What is next after 40 years? Part 1: Prior Learning Assessment: 1970-2011" focused on the history of prior learning assessment (PLA) in the United States over the past 40 years. After exploring more recent recognition and development of PLA across institutions of higher education, the…

  9. First-year medical students prefer multiple learning styles.

    PubMed

    Lujan, Heidi L; DiCarlo, Stephen E

    2006-03-01

    Students have preferences for the ways in which they receive information. The visual, auditory, reading/writing, kinesthetic (VARK) questionnaire identifies student's preferences for particular modes of information presentation. We administered the VARK questionnaire to our first-year medical students, and 166 of 250 students (66%) returned the completed questionnaire. Only 36.1% of the students preferred a single mode of information presentation. Among these students, 5.4% preferred visual (learning from graphs, charts, and flow diagrams), 4.8% preferred auditory (learning from speech), 7.8% preferred printed words (learning from reading and writing), and 18.1% preferred using all their senses (kinesthetics: learning from touch, hearing, smell, taste, and sight). In contrast, most students (63.8%) preferred multiple modes [2 modes (24.5%), 3 modes (32.1%), or 4 modes (43.4%)] of information presentation. Knowing the students preferred modes can 1) help provide instruction tailored to the student's individual preference, 2) overcome the predisposition to treat all students in a similar way, and 3) motivate teachers to move from their preferred mode(s) to using others.

  10. Developing Deep Learning Applications for Life Science and Pharma Industry.

    PubMed

    Siegismund, Daniel; Tolkachev, Vasily; Heyse, Stephan; Sick, Beate; Duerr, Oliver; Steigele, Stephan

    2018-06-01

    Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also expected to be 'game changing' for research activities in pharma and life sciences, where large sets of similar yet complex data samples are systematically analyzed. Deep learning is currently conquering formerly expert domains especially in areas requiring perception, previously not amenable to standard machine learning. A typical example is the automated analysis of images which are typically produced en-masse in many domains, e. g., in high-content screening or digital pathology. Deep learning enables to create competitive applications in so-far defined core domains of 'human intelligence'. Applications of artificial intelligence have been enabled in recent years by (i) the massive availability of data samples, collected in pharma driven drug programs (='big data') as well as (ii) deep learning algorithmic advancements and (iii) increase in compute power. Such applications are based on software frameworks with specific strengths and weaknesses. Here, we introduce typical applications and underlying frameworks for deep learning with a set of practical criteria for developing production ready solutions in life science and pharma research. Based on our own experience in successfully developing deep learning applications we provide suggestions and a baseline for selecting the most suited frameworks for a future-proof and cost-effective development. © Georg Thieme Verlag KG Stuttgart · New York.

  11. Faculty and second-year medical student perceptions of active learning in an integrated curriculum.

    PubMed

    Tsang, Alexander; Harris, David M

    2016-12-01

    Patients expect physicians to be lifelong learners who are able to interpret and evaluate diagnostic tests, and most medical schools list the development of lifelong learning in their program objectives. However, lecture is the most often utilized form of teaching in the first two years and is considered passive learning. The current generation of medical students has many characteristics that should support active learning pedagogies. The purpose of this study was to analyze student and faculty perceptions of active learning in an integrated medical curriculum at the second-year mark, where students have been exposed to multiple educational pedagogies. The first hypothesis of the study was that faculty would favor active learning methods. The second hypothesis was that Millennial medical students would favor active learning due to their characteristics. Primary faculty for years 1 and 2 and second-year medical students were recruited for an e-mail survey consisting of 12 questions about active learning and lecture. Students perceived that lecture and passive pedagogies were more effective for learning, whereas faculty felt active and collaborative learning was more effective. Students believed that more content should be covered by lecture than faculty. There were also significant differences in perceptions of what makes a good teacher. Students and faculty both felt that lack of time in the curriculum and preparation time were barriers for faculty. The data suggest that students are not familiar with the process of learning and that more time may be needed to help students develop lifelong learning skills. Copyright © 2016 The American Physiological Society.

  12. Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

    PubMed

    Kawata, Yasuo; Arimura, Hidetaka; Ikushima, Koujirou; Jin, Ze; Morita, Kento; Tokunaga, Chiaki; Yabu-Uchi, Hidetake; Shioyama, Yoshiyuki; Sasaki, Tomonari; Honda, Hiroshi; Sasaki, Masayuki

    2017-10-01

    The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques, i.e., fuzzy-c-means clustering method (FCM), and the artificial neural network (ANN) and support vector machine (SVM), on an automated framework for delineation of gross tumor volume (GTV) regions of lung cancer for stereotactic body radiation therapy. The morphological and metabolic features for GTV regions, which were determined based on the knowledge of radiation oncologists, were fed on a pixel-by-pixel basis into the respective FCM, ANN, and SVM ML techniques. Then, the ML techniques were incorporated into the automated delineation framework of GTVs followed by an optimum contour selection (OCS) method, which we proposed in a previous study. The three-ML-based frameworks were evaluated for 16 lung cancer cases (six solid, four ground glass opacity (GGO), six part-solid GGO) with the datasets of planning computed tomography (CT) and 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT images using the three-dimensional Dice similarity coefficient (DSC). DSC denotes the degree of region similarity between the GTVs contoured by radiation oncologists and those estimated using the automated framework. The FCM-based framework achieved the highest DSCs of 0.79±0.06, whereas DSCs of the ANN-based and SVM-based frameworks were 0.76±0.14 and 0.73±0.14, respectively. The FCM-based framework provided the highest segmentation accuracy and precision without a learning process (lowest calculation cost). Therefore, the FCM-based framework can be useful for delineation of tumor regions in practical treatment planning. Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

  13. The scholar role in the National Competence Based Catalogues of Learning Objectives for Undergraduate Medical Education (NKLM) compared to other international frameworks.

    PubMed

    Hautz, Stefanie C; Hautz, Wolf E; Keller, Niklas; Feufel, Markus A; Spies, Claudia

    2015-01-01

    In Germany, a national competence based catalogue of learning objectives in medicine (NKLM) was developed by the Society for Medical Education and the Council of Medical Faculties. As many of its international counterparts the NKLM describes the qualifications of medical school graduates. The definition of such outcome frameworks indents to make medical education transparent to students, teachers and society. The NKLM aims to amend existing lists of medical topics for assessment with learnable competencies. All outcome frameworks are structured into chapters, domains or physician roles. The definition of the scholar-role poses a number of questions such as: What distinguishes necessary qualifications of a scientifically qualified physician from those of a medical scientist? 13 outcome frameworks were identified through a systematic three-step literature review and their content compared to the scholar role in the NKLM by means of a qualitative text analysis. The three steps consist of (1) search for outcome frameworks, (2) in- and exclusion, and (3) data extraction, categorization, and validation. The results were afterwards matched with the scholar role of the NKLM. Extracted contents of all frameworks may be summarized into the components Common Basics, Clinical Application, Research, Teaching and Education, and Lifelong Learning. Compared to the included frameworks the NKLM emphasises competencies necessary for research and teaching while clinical application is less prominently mentioned. The scholar role of the NKLM differs from other international outcome frameworks. Discussing these results shall increase propagation and understanding of the NKLM and thus contribute to the qualification of future medical graduates in Germany.

  14. Analysis of sustainable leadership for science learning management in the 21st Century under education THAILAND 4.0 framework

    NASA Astrophysics Data System (ADS)

    Jedaman, Pornchai; Buaraphan, Khajornsak; Pimdee, Paitoon; Yuenyong, Chokchai; Sukkamart, Aukkapong; Suksup, Charoen

    2018-01-01

    This article aims to study and analyze the 21st Century of sustainable leadership under the education THAILAND 4.0 Framework, and factor analysis of sustainable leadership for science learning. The study employed both quantitative and qualitative approaches in collecting data including a questionnaire survey, a documentary review and a Participatory Action Learning (PAL). The sample were sampling purposively. There were 225 administrators of Primary and Secondary Education Area Offices throughout Thailand. Out of 225, 183 (83.33%) and 42 (16.67%) respondents were the administrators of Primary and Secondary Education Offices, respectively. The quantitative data was analyzed by descriptive statistical analysis including mean, standard deviation. Also, the Confirmatory Factor Analysis (CFA) was conducted to analyze the factors associated with sustainable leadership under the education THAILAND 4.0 Framework. The qualitative data was analyzed by using three main stages, i.e., data reduction, data organization, data interpretation to conclusion. The study revealed that sustainable leadership under the education THAILAND 4.0 Framework needs to focus on development, awareness of duty and responsibility, equality, moral and knowledge. All aspects should be integrated together in order to achieve the organizational goals, good governance culture and identity. Importantly, there were six "key" elements of sustainable leadership under the education THAILAND 4.0 framework: i) Professional Leadership Role, ii) Leadership Under Change, iii) Leadership Skills 4.0 in the 21st Century, iv) Development in the Pace With Change, v) Creativity and Creative Tension, and vi) Hold True Assessments. The CFA showed that the six key elements of sustainable leadership under the education THAILAND 4.0 framework by weight of each elements were significant at the .01 significance level.

  15. Learning to Become a Learning Professional: Reflections on One Year of Teaching

    ERIC Educational Resources Information Center

    Attard, Karl; Armour, Kathleen M.

    2005-01-01

    This research aims to study the ways in which a teacher learns through and about professional practice. Data presented here is drawn from one year of teaching and focuses on pedagogical practices, critical reflection upon those practices and the impact of the implementation of a new physical education syllabus in Maltese secondary schools. The…

  16. Six-Word Memoirs: A Content Analysis of First-Year Course Learning Outcomes

    ERIC Educational Resources Information Center

    Rubin, Lisa

    2016-01-01

    First-year courses prepare students for the transition to, and success in, college. Institutions are interested in assessing student learning outcomes to achieve institutional goals and maintain accreditation. Though it may be difficult to measure student learning and success, colleges aim to assess student learning in the classroom by setting…

  17. A framework for medical image retrieval using machine learning and statistical similarity matching techniques with relevance feedback.

    PubMed

    Rahman, Md Mahmudur; Bhattacharya, Prabir; Desai, Bipin C

    2007-01-01

    A content-based image retrieval (CBIR) framework for diverse collection of medical images of different imaging modalities, anatomic regions with different orientations and biological systems is proposed. Organization of images in such a database (DB) is well defined with predefined semantic categories; hence, it can be useful for category-specific searching. The proposed framework consists of machine learning methods for image prefiltering, similarity matching using statistical distance measures, and a relevance feedback (RF) scheme. To narrow down the semantic gap and increase the retrieval efficiency, we investigate both supervised and unsupervised learning techniques to associate low-level global image features (e.g., color, texture, and edge) in the projected PCA-based eigenspace with their high-level semantic and visual categories. Specially, we explore the use of a probabilistic multiclass support vector machine (SVM) and fuzzy c-mean (FCM) clustering for categorization and prefiltering of images to reduce the search space. A category-specific statistical similarity matching is proposed in a finer level on the prefiltered images. To incorporate a better perception subjectivity, an RF mechanism is also added to update the query parameters dynamically and adjust the proposed matching functions. Experiments are based on a ground-truth DB consisting of 5000 diverse medical images of 20 predefined categories. Analysis of results based on cross-validation (CV) accuracy and precision-recall for image categorization and retrieval is reported. It demonstrates the improvement, effectiveness, and efficiency achieved by the proposed framework.

  18. First-Year and Non-First-Year Student Expectations Regarding In-Class and Out-of-Class Learning Activities in Introductory Biology †

    PubMed Central

    Brown, Tanya L.; Brazeal, Kathleen R.; Couch, Brian A.

    2017-01-01

    National calls for teaching transformation build on a constructivist learning theory and propose that students learn by actively engaging in course activities and interacting with other students. While interactive pedagogies can improve learning, they also have the potential to challenge traditional norms regarding class participation and learning strategies. To better understand the potential openness of students to interactive teaching practices, we administered a survey during the first week of two sections of an introductory biology course to characterize how students envisioned spending time during class as well as what activities they expected to complete outside of class during non-exam weeks and in preparation for exams. Additionally, we sought to test the hypothesis that the expectations of first-year students differed from those of non-first-year students. Analyses of closed-ended and open-ended questions revealed that students held a wide range of expectations and that most students expressed expectations consistent with some degree of transformed teaching. Furthermore, first-year students expected more active learning in class, more out-of-class coursework during non-exam weeks, and more social learning strategies than non-first-year students. We discuss how instructor awareness of incoming student expectations might be used to promote success in introductory science courses. PMID:28512514

  19. ELPSA as a Lesson Design Framework

    ERIC Educational Resources Information Center

    Lowrie, Tom; Patahuddin, Sitti Maesuri

    2015-01-01

    This paper offers a framework for a mathematics lesson design that is consistent with the way we learn about, and discover, most things in life. In addition, the framework provides a structure for identifying how mathematical concepts and understanding are acquired and developed. This framework is called ELPSA and represents five learning…

  20. Patterns of Control over the Teaching-Studying-Learning Process and Classrooms as Complex Dynamic Environments: A Theoretical Framework

    ERIC Educational Resources Information Center

    Harjunen, Elina

    2012-01-01

    In this theoretical paper the role of power in classroom interactions is examined in terms of a dominance continuum to advance a theoretical framework justifying the emergence of three ways of distributing power when it comes to dealing with the control over the teaching-studying-learning (TSL) "pattern of teacher domination," "pattern of…

  1. MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.

    PubMed

    Wang, Duolin; Zeng, Shuai; Xu, Chunhui; Qiu, Wangren; Liang, Yanchun; Joshi, Trupti; Xu, Dong

    2017-12-15

    Computational methods for phosphorylation site prediction play important roles in protein function studies and experimental design. Most existing methods are based on feature extraction, which may result in incomplete or biased features. Deep learning as the cutting-edge machine learning method has the ability to automatically discover complex representations of phosphorylation patterns from the raw sequences, and hence it provides a powerful tool for improvement of phosphorylation site prediction. We present MusiteDeep, the first deep-learning framework for predicting general and kinase-specific phosphorylation sites. MusiteDeep takes raw sequence data as input and uses convolutional neural networks with a novel two-dimensional attention mechanism. It achieves over a 50% relative improvement in the area under the precision-recall curve in general phosphorylation site prediction and obtains competitive results in kinase-specific prediction compared to other well-known tools on the benchmark data. MusiteDeep is provided as an open-source tool available at https://github.com/duolinwang/MusiteDeep. xudong@missouri.edu. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  2. Attitudes toward and approaches to learning first-year university mathematics.

    PubMed

    Alkhateeb, Haitham M; Hammoudi, Lakhdar

    2006-08-01

    This study examined the relationship for 180 undergraduate students enrolled in a first-year university calculus course between attitudes toward mathematics and approaches to learning mathematics using the Mathematics Attitude Scale and the Approaches to Learning Mathematics Questionnaire, respectively. Regression analyses indicated that scores for the Mathematics Attitude Scale were negatively related to scores for the Surface Approach and accounted for 10.4% of the variance and scores for the Mathematics Attitude Scale were positively related to scores for the Deep Approach to learning mathematics and accounted for 31.7% of the variance.

  3. Framework for the Future

    ERIC Educational Resources Information Center

    Schuller, Tom

    2008-01-01

    The main goal of the Inquiry into the Future for Lifelong Learning is to provide a "strategic framework" for the future. In this article, the author considers the key components that will make up the framework. These are: (1) a statement of vision and values; (2) a stock-take of the current position; (3) an "investment…

  4. The Effects of Using Bloom's Taxonomy to Align Reading Instruction with the Virginia Standards of Learning Framework for English

    ERIC Educational Resources Information Center

    Crews, Charla Faulkner

    2010-01-01

    This study examined the effects of aligning the "Virginia Standards of Learning (SOL)" English Framework with Bloom's Taxonomy on student achievement. Changes prompted by "No Child Left Behind" legislation increased accountability for student success, as well as mandated testing to determine annual academic growth of all…

  5. AcconPred: Predicting Solvent Accessibility and Contact Number Simultaneously by a Multitask Learning Framework under the Conditional Neural Fields Model.

    PubMed

    Ma, Jianzhu; Wang, Sheng

    2015-01-01

    The solvent accessibility of protein residues is one of the driving forces of protein folding, while the contact number of protein residues limits the possibilities of protein conformations. The de novo prediction of these properties from protein sequence is important for the study of protein structure and function. Although these two properties are certainly related with each other, it is challenging to exploit this dependency for the prediction. We present a method AcconPred for predicting solvent accessibility and contact number simultaneously, which is based on a shared weight multitask learning framework under the CNF (conditional neural fields) model. The multitask learning framework on a collection of related tasks provides more accurate prediction than the framework trained only on a single task. The CNF method not only models the complex relationship between the input features and the predicted labels, but also exploits the interdependency among adjacent labels. Trained on 5729 monomeric soluble globular protein datasets, AcconPred could reach 0.68 three-state accuracy for solvent accessibility and 0.75 correlation for contact number. Tested on the 105 CASP11 domain datasets for solvent accessibility, AcconPred could reach 0.64 accuracy, which outperforms existing methods.

  6. Characterizing learning-through-service students in engineering by gender and academic year

    NASA Astrophysics Data System (ADS)

    Carberry, Adam Robert

    Service is increasingly being viewed as an integral part of education nationwide. Service-based courses and programs are growing in popularity as opportunities for students to learn and experience their discipline. Widespread adoption of learning-through-service (LTS) in engineering is stymied by a lack of a body of rigorous research supporting the effectiveness of these experiences. In this study, I examine learning-through-service through a nationwide survey of engineering undergraduate and graduate students participating in a variety of LTS experiences. Students (N = 322) participating in some form of service -- service-learning courses or extra-curricular service programs -- from eighty-seven different institutions across the United States completed a survey measuring demographic information (institution, gender, academic year, age, major, and grade point average), self-perceived sources of learning (service and traditional coursework), engineering epistemological beliefs, personality traits, and self-concepts (self-efficacy, motivation, expectancy, and anxiety) toward engineering design. Responses to the survey were used to characterize engineering LTS students and identify differences in these variables in terms of gender and academic year. The overall findings were that LTS students perceived their service experience to be a beneficial source for learning professional skills and, to a lesser degree, technical skills, held moderately sophisticated engineering epistemological beliefs, and were generally outgoing, compassionate, and adventurous. Self-perceived sources of learning, epistemological beliefs, and personality traits were shown to be poor predictors of student engineering achievement. Self-efficacy, motivation, and outcome expectancy toward engineering design were generally high for all LTS students; most possessed rather low anxiety levels toward engineering design. These trends were generally consistent between genders and across the five academic

  7. Learning strategies of first year nursing and medical students: a comparative study.

    PubMed

    Salamonson, Yenna; Everett, Bronwyn; Koch, Jane; Wilson, Ian; Davidson, Patricia M

    2009-12-01

    Interprofessional education (IPE), where two or more professions learn with, from, and about each other to improve collaboration and the quality of care, has been proposed as a curriculum strategy to promote mutual understanding between professions, thus helping to prepare health professionals to work in challenging contemporary health systems. Although there is support for IPE initiatives within health professional education, differences in student motivation and learning strategies are likely to contribute to the success of these initiatives. To explore self-regulated learning strategies used by first year medical and nursing students, and to determine if these strategies were different among nursing students who were high achievers. A comparative survey design. Nursing and medical nursing schools in a large university in the western region of Sydney, Australia. Six hundred and sixty-five first year nursing (n=565) and medical (n=100) students in a large university in the western region of Sydney were surveyed to assess motivational and learning strategies using The Motivated Strategies for Learning Questionnaire (MSLQ). Data relating to sociodemographic characteristics and academic performance were also collected. Nursing students were significantly older than medical students (mean age: 24.4 years versus 19.4 years; p<0.001), and there were also more females in the nursing student group (82% versus 56%; p<0.001). Although nursing students had a higher mean score for extrinsic goal orientation compared to medical students (p<0.001), medical students had higher mean scores for the other four learning strategies measured: peer learning (p=0.003), help seeking (p=0.008), critical thinking (p=0.058), and time and study environment management (p<0.001). Similarly, the grade point average (GPA) of medical students at the end of their first year was significantly higher (4.5, S.D. 1.4 versus 3.6, S.D. 1.3; p<0.001) compared to that of nursing students. While

  8. Multi-Agent Framework for Virtual Learning Spaces.

    ERIC Educational Resources Information Center

    Sheremetov, Leonid; Nunez, Gustavo

    1999-01-01

    Discussion of computer-supported collaborative learning, distributed artificial intelligence, and intelligent tutoring systems focuses on the concept of agents, and describes a virtual learning environment that has a multi-agent system. Describes a model of interactions in collaborative learning and discusses agents for Web-based virtual…

  9. Learning styles and approaches to learning mathematics of students majoring in elementary education: a three-year study.

    PubMed

    Alkhateeb, Haitham M; Mji, Andile

    2009-10-01

    The goal of this 3-yr. study was to explore the learning styles and approaches to learning mathematics of elementary education majors. Two questionnaires, the Learning Style Inventory and the Approaches to Learning Mathematics Questionnaire, were administered to 149 women and 32 men (M = 20.1 yr., SD. = 2.1; range = 18-31). All were in their first or second years of college and enrolled in Mathematics for Elementary School Teachers at a Midwestern U.S. university. Results on the Learning Style Inventory indicated that a majority scored as either Accommodators, i.e., they primarily followed learning modes involving Active Experimentation and Concrete Experience, or as Divergers, i.e., approaching learning by focusing on Concrete Experience and Reflective Observation. A weak but statistically significant association was observed on the Approaches questionnaire between the Surface Approach and Reflective Observation.

  10. Twenty Years of MALL Project Implementation: A Meta-Analysis of Learning Outcomes

    ERIC Educational Resources Information Center

    Burston, Jack

    2015-01-01

    Despite the hundreds of Mobile-Assisted Language Learning (MALL) publications over the past twenty years, statistically reliable measures of learning outcomes are few and far between. In part, this is due to the fact that well over half of all MALL-related studies report no objectively quantifiable learning outcomes, either because they did not…

  11. An Approach to Improving the Learning Experience for First Year Accounting Curriculum

    ERIC Educational Resources Information Center

    Kirkham, Ross

    2013-01-01

    The purpose of this paper is to present a theoretical model to address design and assessment of accounting practice sets that will enhance learning and provide clearer learning outcomes for first year accounting students. The paper explores extant literature in developing an action plan that can be followed to maximise learning outcomes for first…

  12. A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine

    PubMed Central

    Ye, Qing; Pan, Hao; Liu, Changhua

    2015-01-01

    This research proposes a novel framework of final drive simultaneous failure diagnosis containing feature extraction, training paired diagnostic models, generating decision threshold, and recognizing simultaneous failure modes. In feature extraction module, adopt wavelet package transform and fuzzy entropy to reduce noise interference and extract representative features of failure mode. Use single failure sample to construct probability classifiers based on paired sparse Bayesian extreme learning machine which is trained only by single failure modes and have high generalization and sparsity of sparse Bayesian learning approach. To generate optimal decision threshold which can convert probability output obtained from classifiers into final simultaneous failure modes, this research proposes using samples containing both single and simultaneous failure modes and Grid search method which is superior to traditional techniques in global optimization. Compared with other frequently used diagnostic approaches based on support vector machine and probability neural networks, experiment results based on F 1-measure value verify that the diagnostic accuracy and efficiency of the proposed framework which are crucial for simultaneous failure diagnosis are superior to the existing approach. PMID:25722717

  13. Introduction of blended learning in a master program: Developing an integrative mixed method evaluation framework.

    PubMed

    Chmiel, Aviva S; Shaha, Maya; Schneider, Daniel K

    2017-01-01

    The aim of this research is to develop a comprehensive evaluation framework involving all actors in a higher education blended learning (BL) program. BL evaluation usually either focuses on students, faculty, technological or institutional aspects. Currently, no validated comprehensive monitoring tool exists that can support introduction and further implementation of BL in a higher education context. Starting from established evaluation principles and standards, concepts that were to be evaluated were firstly identified and grouped. In a second step, related BL evaluation tools referring to students, faculty and institutional level were selected. This allowed setting up and implementing an evaluation framework to monitor the introduction of BL during two succeeding recurrences of the program. The results of the evaluation allowed documenting strengths and weaknesses of the BL format in a comprehensive way, involving all actors. It has led to improvements at program, faculty and course level. The evaluation process and the reporting of the results proved to be demanding in time and personal resources. The evaluation framework allows measuring the most significant dimensions influencing the success of a BL implementation at program level. However, this comprehensive evaluation is resource intensive. Further steps will be to refine the framework towards a sustainable and transferable BL monitoring tool that finds a balance between comprehensiveness and efficiency. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. Framework for Designing Context-Aware Learning Systems

    ERIC Educational Resources Information Center

    Tortorella, Richard A. W.; Kinshuk; Chen, Nian-Shing

    2018-01-01

    Today people learn in many diverse locations and contexts, beyond the confines of classical brick and mortar classrooms. This trend is ever increasing, progressing hand-in-hand with the progress of technology. Context-aware learning systems are systems which adapt to the learner's context, providing tailored learning for a particular learning…

  15. Evaluation Framework for Dependable Mobile Learning Scenarios

    ERIC Educational Resources Information Center

    Bensassi, Manel; Laroussi, Mona

    2014-01-01

    The goal of the dependability analysis is to predict inconsistencies and to reveal ambiguities and incompleteness in the designed learning scenario. Evaluation, in traditional learning design, is generally planned after the execution of the scenario. In mobile learning, this stage becomes too difficult and expensive to apply due to the complexity…

  16. Rethinking Task Design for the Digital Age: A Framework for Language Teaching and Learning in a Synchronous Online Environment

    ERIC Educational Resources Information Center

    Hampel, Regina

    2006-01-01

    This article discusses a framework for the development of tasks in a synchronous online environment used for language learning and teaching. It shows how a theoretical approach based on second language acquisition (SLA) principles, sociocultural and constructivist theories, and concepts taken from research on multimodality and new literacies, can…

  17. Three Years of the New Mexico Laptop Learning Initiative (NMLLI): Stumbling toward Innovation

    ERIC Educational Resources Information Center

    Rutledge, David; Duran, James; Carroll-Miranda, Joseph

    2007-01-01

    This article presents qualitative results of the first three years of the New Mexico Laptop Learning Initiative (NMLLI). Results suggest that teachers, students, and their communities support this initiative to improve student learning. Descriptive statistics were used during year two to further understand how the laptops were being used by…

  18. Conceptual Elements: A Detailed Framework to Support and Assess Student Learning of Biology Core Concepts.

    PubMed

    Cary, Tawnya; Branchaw, Janet

    2017-01-01

    The Vision and Change in Undergraduate Biology Education: Call to Action report has inspired and supported a nationwide movement to restructure undergraduate biology curricula to address overarching disciplinary concepts and competencies. The report outlines the concepts and competencies generally but does not provide a detailed framework to guide the development of the learning outcomes, instructional materials, and assessment instruments needed to create a reformed biology curriculum. In this essay, we present a detailed Vision and Change core concept framework that articulates key components that transcend subdisciplines and scales for each overarching biological concept, the Conceptual Elements (CE) Framework. The CE Framework was developed using a grassroots approach of iterative revision and incorporates feedback from more than 60 biologists and undergraduate biology educators from across the United States. The final validation step resulted in strong national consensus, with greater than 92% of responders agreeing that each core concept list was ready for use by the biological sciences community, as determined by scientific accuracy and completeness. In addition, we describe in detail how educators and departments can use the CE Framework to guide and document reformation of individual courses as well as entire curricula. © 2017 T. Cary and J. Branchaw. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

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

    PubMed

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

    2011-02-01

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

  20. Five Years of Research Into Technology-Enhanced Learning at the Faculty of Materials Science and Technology

    NASA Astrophysics Data System (ADS)

    Svetský, Štefan; Moravčík, Oliver; Rusková, Dagmar; Balog, Karol; Sakál, Peter; Tanuška, Pavol

    2011-01-01

    The article describes a five-year period of Technology Enhanced Learning (TEL) implementation at the Faculty of Materials Science and Technology (MTF) in Trnava. It is a part of the challenges put forward by the 7th Framework Programme (ICT research in FP7) focused on "how information and communication technologies can be used to support learning and teaching". The empirical research during the years 2006-2008 was focused on technology-driven support of teaching, i. e. the development of VLE (Virtual Learning Environment) and the development of database applications such as instruments developed simultaneously with the information support of the project, and tested and applied directly in the teaching of bachelor students. During this period, the MTF also participated in the administration of the FP7 KEPLER project proposal in the international consortium of 20 participants. In the following period of 2009-2010, the concept of educational activities automation systematically began to develop. Within this concept, the idea originated to develop a universal multi-purpose system BIKE based on the batch processing knowledge paradigm. This allowed to focus more on educational approach, i.e. TEL educational-driven and to finish the programming of the Internet application - network for feedback (communication between teachers and students). Thanks to this specialization, the results of applications in the teaching at MTF could gradually be presented at the international conferences focused on computer-enhanced engineering education. TEL was implemented at a detached workplace and four institutes involving more than 600 students-bachelors and teachers of technical subjects. Four study programmes were supported, including technical English language. Altogether, the results have been presented via 16 articles in five countries, including the EU level (IGIP-SEFI).

  1. A clustering-based graph Laplacian framework for value function approximation in reinforcement learning.

    PubMed

    Xu, Xin; Huang, Zhenhua; Graves, Daniel; Pedrycz, Witold

    2014-12-01

    In order to deal with the sequential decision problems with large or continuous state spaces, feature representation and function approximation have been a major research topic in reinforcement learning (RL). In this paper, a clustering-based graph Laplacian framework is presented for feature representation and value function approximation (VFA) in RL. By making use of clustering-based techniques, that is, K-means clustering or fuzzy C-means clustering, a graph Laplacian is constructed by subsampling in Markov decision processes (MDPs) with continuous state spaces. The basis functions for VFA can be automatically generated from spectral analysis of the graph Laplacian. The clustering-based graph Laplacian is integrated with a class of approximation policy iteration algorithms called representation policy iteration (RPI) for RL in MDPs with continuous state spaces. Simulation and experimental results show that, compared with previous RPI methods, the proposed approach needs fewer sample points to compute an efficient set of basis functions and the learning control performance can be improved for a variety of parameter settings.

  2. Laser-welded titanium frameworks supported by implants in the partially edentulous mandible: a 10-year comparative follow-up study.

    PubMed

    Ortorp, Anders; Jemt, Torsten

    2008-09-01

    Comparative long-term knowledge of different framework materials in the partially edentulous implant patient is not available. To report and compare 10-year data on free-standing implant-supported partial prostheses with laser-welded titanium (test) and conventional gold alloy (control) frameworks. Altogether, 52 partially edentulous patients were consecutively provided with laser-welded prostheses (n = 60) in the partially edentulous lower jaw (test group). A control group of 52 randomly selected patients with gold alloy castings (n = 60) was used for comparison. Clinical and radiographic 10-year data were retrospectively collected and evaluated for both groups. The overall 10-year implant cumulative survival rate (CSR) was 93.0% (loaded implants, 96.4%), with a 10-year implant CSR of 91.5 and 94.7% for test and control implants, respectively (p > .05). Out of a total of 22 lost implants, 17 implants (77.3%) were shorter than 10 mm. The overall 10-year prosthesis CSR was 93.7%, with a corresponding 10-year CSR of 88.4 and 100% for test and control groups, respectively (p < .05). Average 10-year bone loss was 0.46 mm (SD 0.47) and 0.69 mm (SD 0.53) for the test and control groups (p < .001), respectively. Only 1% of the implants had >3 mm accumulated bone loss after 10 years. Altogether, 10 of the prostheses in both groups had implant component mechanical problems (8.3%). None of the frameworks or implants fractured, but more fractures of porcelain veneers were observed in the test group (p < .05). The protocol of implant treatment in the partially edentulous jaw functioned well during 10 years, although prosthodontic maintenance was required. However, laser-welded titanium frameworks presented more problems as compared with gold alloy frameworks. More loaded implants were lost (p < .05), and higher incidence of porcelain chipping was noted in the test group (p < .05). However, bone loss was on an average lower for the test group during the 10 years of follow-up (p

  3. Common Mobile Learning Characteristics--An Analysis of Mobile Learning Models and Frameworks

    ERIC Educational Resources Information Center

    Imtinan, Umera; Chang, Vanessa; Issa, Tomayess

    2013-01-01

    Mobile learning offers learning opportunities to learners without the limitations of time and space. Mobile learning has introduced a number of flexible options to the learners across disciplines and at different educational levels. However, designing mobile learning content is an equally challenging task for the instructional designers.…

  4. Applying the Universal Design for Learning Framework for Individuals With Intellectual Disability: The Future Must Be Now.

    PubMed

    Smith, Sean J; Lowrey, K Alisa

    2017-02-01

    The current research in Universal Design for Learning (UDL) for students with intellectual disability (ID) is briefly summarized and considered in light of the national goals presented by the American Association on Intellectual and Developmental Disabilities (AAIDD) in this article. Additionally, an action plan is provided for researchers and practitioners to extend knowledge on the implementation of the UDL framework inclusive of individuals with ID.

  5. Transition to blended learning: experiences from the first year of our blended learning Bachelor of Nursing Studies programme.

    PubMed

    Sweeney, Mary-Rose; Kirwan, Anne; Kelly, Mary; Corbally, Melissa; O Neill, Sandra; Kirwan, Mary; Hourican, Susan; Matthews, Anne; Hussey, Pamela

    2016-10-01

    The School of Nursing at Dublin City University offered a new blended learning Bachelor of Nursing Studies programme in the academic year 2011. To document the experiences of the academic team making the transition from a face-to-face classroom-delivered programme to the new blended learning format. Academics who delivered the programme were asked to describe their experiences of developing the new programme via two focus groups. Five dominant themes were identified: Staff Readiness; Student Readiness; Programme Delivery and Student Engagement; Assessment of Module Learning Outcomes and Feedback; and Reflecting on the First Year and Thinking of the Future. Face-to-face tutorials were identified as very important to both academics and students. Reservations about whether migrating the programme to an online format encouraged students to engage in additional practices of plagiarism were expressed by some. Student ability/readiness to engage with technology-enhanced learning was an important determinant of their own success academically. In the field of nursing blended learning is a relatively new and emerging field which will require huge cultural shifts for staff and students alike.

  6. Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.

    PubMed

    Hwang, Bosun; You, Jiwoo; Vaessen, Thomas; Myin-Germeys, Inez; Park, Cheolsoo; Zhang, Byoung-Tak

    2018-02-08

    Stress recognition using electrocardiogram (ECG) signals requires the intractable long-term heart rate variability (HRV) parameter extraction process. This study proposes a novel deep learning framework to recognize the stressful states, the Deep ECGNet, using ultra short-term raw ECG signals without any feature engineering methods. The Deep ECGNet was developed through various experiments and analysis of ECG waveforms. We proposed the optimal recurrent and convolutional neural networks architecture, and also the optimal convolution filter length (related to the P, Q, R, S, and T wave durations of ECG) and pooling length (related to the heart beat period) based on the optimization experiments and analysis on the waveform characteristics of ECG signals. The experiments were also conducted with conventional methods using HRV parameters and frequency features as a benchmark test. The data used in this study were obtained from Kwangwoon University in Korea (13 subjects, Case 1) and KU Leuven University in Belgium (9 subjects, Case 2). Experiments were designed according to various experimental protocols to elicit stressful conditions. The proposed framework to recognize stress conditions, the Deep ECGNet, outperformed the conventional approaches with the highest accuracy of 87.39% for Case 1 and 73.96% for Case 2, respectively, that is, 16.22% and 10.98% improvements compared with those of the conventional HRV method. We proposed an optimal deep learning architecture and its parameters for stress recognition, and the theoretical consideration on how to design the deep learning structure based on the periodic patterns of the raw ECG data. Experimental results in this study have proved that the proposed deep learning model, the Deep ECGNet, is an optimal structure to recognize the stress conditions using ultra short-term ECG data.

  7. Comfort and experience with online learning: trends over nine years and associations with knowledge.

    PubMed

    Cook, David A; Thompson, Warren G

    2014-07-01

    Some evidence suggests that attitude toward computer-based instruction is an important determinant of success in online learning. We sought to determine how comfort using computers and perceptions of prior online learning experiences have changed over the past decade, and how these associate with learning outcomes. Each year from 2003-2011 we conducted a prospective trial of online learning. As part of each year's study, we asked medicine residents about their comfort using computers and if their previous experiences with online learning were favorable. We assessed knowledge using a multiple-choice test. We used regression to analyze associations and changes over time. 371 internal medicine and family medicine residents participated. Neither comfort with computers nor perceptions of prior online learning experiences showed a significant change across years (p > 0.61), with mean comfort rating 3.96 (maximum 5 = very comfortable) and mean experience rating 4.42 (maximum 6 = strongly agree [favorable]). Comfort showed no significant association with knowledge scores (p = 0.39) but perceptions of prior experiences did, with a 1.56% rise in knowledge score for a 1-point rise in experience score (p = 0.02). Correlations among comfort, perceptions of prior experiences, and number of prior experiences were all small and not statistically significant. Comfort with computers and perceptions of prior experience with online learning remained stable over nine years. Prior good experiences (but not comfort with computers) demonstrated a modest association with knowledge outcomes, suggesting that prior course satisfaction may influence subsequent learning.

  8. Social Media and Seamless Learning: Lessons Learned

    ERIC Educational Resources Information Center

    Panke, Stefanie; Kohls, Christian; Gaiser, Birgit

    2017-01-01

    The paper discusses best practice approaches and metrics for evaluation that support seamless learning with social media. We draw upon the theoretical frameworks of social learning theory, transfer learning (bricolage), and educational design patterns to elaborate upon different ideas for ways in which social media can support seamless learning.…

  9. Translating Learning into Numbers: A Generic Framework for Learning Analytics

    ERIC Educational Resources Information Center

    Greller, Wolfgang; Drachsler, Hendrik

    2012-01-01

    With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning…

  10. Integrating Diversity Education and Service Learning: A 15+ Year Journey Continues

    ERIC Educational Resources Information Center

    Womble, Myra N.; Adams, Elaine

    2016-01-01

    This paper reports the 15+ year journey undertaken by university faculty to integrate service learning with diversity education. It has taken the faculty from its initial integration of academic community learning and diversity education in 1999 to its current course offering in 2015. The purpose of this integration has remained the same, to…

  11. Assessing the Quality of Early Years Learning Environments

    ERIC Educational Resources Information Center

    Walsh, Glenda; Gardner, John

    2005-01-01

    This article describes a means of evaluating early years classrooms from the perspective of the child's experience. Nine key themes, such as motivation and independence, are identified as representing significant aspects of a high-quality environment for learning. The manner in which these manifest themselves in relation to the three elements of…

  12. A Response to the Review of the Community of Inquiry Framework

    ERIC Educational Resources Information Center

    Akyol, Zehra; Arbaugh, J. Ben; Cleveland-Innes, Marti; Garrison, D. Randy; Ice, Phil; Richardson, Jennifer C.; Swan, Karen

    2009-01-01

    The Community of Inquiry (CoI) framework has become a prominent model of teaching and learning in online and blended learning environments. Considerable research has been conducted which employs the framework with promising results, resulting in wide use to inform the practice of online and blended teaching and learning. For the CoI model to…

  13. A Framework System for Intelligent Support in Open Distributed Learning Environments--A Look Back from 16 Years Later

    ERIC Educational Resources Information Center

    Hoppe, H. Ulrich

    2016-01-01

    The 1998 paper by Martin Mühlenbrock, Frank Tewissen, and myself introduced a multi-agent architecture and a component engineering approach for building open distributed learning environments to support group learning in different types of classroom settings. It took up prior work on "multiple student modeling" as a method to configure…

  14. Technology for French Learning: A Mismatch between Expectations and Reality

    ERIC Educational Resources Information Center

    Karabulut, Aliye; Levelle, Kimberly; Li, Jinrong; Suvorov, Ruslan

    2012-01-01

    The qualitative study reported in this article explored the use of technology for language learning in a third-year French class at a public university in the Midwest of the USA. To address the need for a more holistic study of technology for language learning (Basharina, 2007; Thorne, 2003), an Activity Theory framework was employed to…

  15. Language Acquisition and Machine Learning.

    DTIC Science & Technology

    1986-02-01

    machine learning and examine its implications for computational models of language acquisition. As a framework for understanding this research, the authors propose four component tasks involved in learning from experience-aggregation, clustering, characterization, and storage. They then consider four common problems studied by machine learning researchers-learning from examples, heuristics learning, conceptual clustering, and learning macro-operators-describing each in terms of our framework. After this, they turn to the problem of grammar

  16. Mathematics Anxiety: What Have We Learned in 60 Years?

    PubMed

    Dowker, Ann; Sarkar, Amar; Looi, Chung Yen

    2016-01-01

    The construct of mathematics anxiety has been an important topic of study at least since the concept of "number anxiety" was introduced by Dreger and Aiken (1957), and has received increasing attention in recent years. This paper focuses on what research has revealed about mathematics anxiety in the last 60 years, and what still remains to be learned. We discuss what mathematics anxiety is; how distinct it is from other forms of anxiety; and how it relates to attitudes to mathematics. We discuss the relationships between mathematics anxiety and mathematics performance. We describe ways in which mathematics anxiety is measured, both by questionnaires, and by physiological measures. We discuss some possible factors in mathematics anxiety, including genetics, gender, age, and culture. Finally, we describe some research on treatment. We conclude with a brief discussion of what still needs to be learned.

  17. Awareness as an Enactivist Framework for the Mathematical Learning of Teachers, Mentors and Institutions

    ERIC Educational Resources Information Center

    Preciado-Babb, Armando Paulino; Metz, Martina; Marcotte, Chenoa

    2015-01-01

    This paper explores the learning of both individuals and organizations within the context of a 3-year professional development program for mathematics and science teachers in a middle school. We propose to extend the notion of awareness from individuals to autonomous systems as a means to study the learning of teachers, mentors, the school, and…

  18. Portraits of Learning 2007: We Present This Year's Winning Student Photos

    ERIC Educational Resources Information Center

    Technology & Learning, 2007

    2007-01-01

    This year's more than 4,000 Portraits of Learning entries attest to the growing comfort with digital technologies and visual arts that today's kids have. This article presents 12 winning student photos of the Portraits of Learning 2007. The winners emerged from the selection of subjects that varied wildly--from grasshoppers, giraffes, zebras, and…

  19. Learners' Goal Profiles and Their Learning Patterns over an Academic Year

    ERIC Educational Resources Information Center

    Ng, Clarence

    2015-01-01

    The present study aimed to examine distance learners' goal profiles and their contrasting patterns of learning and achievements at three different points during an academic year, i.e. in the beginning of the course in relation to learners' general orientations to learning, at the middle of the course in relation to learners' completion of an…

  20. Developing Autonomous Learning in First Year University Students Using Perspectives from Positive Psychology

    ERIC Educational Resources Information Center

    Macaskill, Ann; Denovan, Andrew

    2013-01-01

    Autonomous learning is a commonly occurring learning outcome from university study, and it is argued that students require confidence in their own abilities to achieve this. Using approaches from positive psychology, this study aimed to develop confidence in first-year university students to facilitate autonomous learning. Psychological character…