WorldWideScience

Sample records for learning resources series

  1. Researching into Learning Resources in Colleges and Universities. The Practical Research Series.

    Science.gov (United States)

    Higgins, Chris; Reading, Judy; Taylor, Paul

    This book examines issues and methods for conducting research into the educational resource environment in colleges and universities. That environment is defined as whatever is used to facilitate the learning process, including learning space, support staff, and teaching staff. Chapter 1 is an introduction to the series and lays out the process of…

  2. Fundamentals of Learning. From the College and Career Ready Standards to Teaching and Learning in the Classroom: A Series of Resources for Teachers

    Science.gov (United States)

    Heritage, Margaret; Jones, Barbara; Tobiason, Glory; Chang, Sandy; Herman, Joan

    2015-01-01

    This publication provides a framework, the Fundamentals of Learning (FOL), to assist teachers in transitioning to the classroom practices called for in the College- and Career-Ready Standards (CCRS). The content of this resource is drawn from leading theory and research about learning and assessment and from an examination of the Common Core State…

  3. Two Conflicting Theories of Knowledge, Learning, and Literacy: The Didactic and the Critical. Resource Publication, Series 1 No. 2.

    Science.gov (United States)

    Paul, Richard

    The contrasting assumptions of the didactic and critical theories and approaches to teaching and learning are set out in this paper. The assumptions have to do with: (1) whether students should be taught how, rather than what, to think; (2) the relationship between knowledge and thinking; (3) what constitutes an educated, literate person; (4) how…

  4. Learning Resources and MOOCs

    DEFF Research Database (Denmark)

    Christiansen, René Boyer

    MOOCs (Massive Open Online Courses) have become a serious player within the field of education and learning in the past few years. MOOC research is thus a new field but within the last 2-3 years, it has developed rapidly (Liyanagunawardena et al., 2013, Bayne & Ross, 2014). Much of this research...... has had an emphasis on learners and outcome as well as suitable business models. And even though the internet merely flows over with lists of MOOCs to attend (such as the list from “Top 5 onlinecolleges” which features a list of 99 MOOC environments) not much emphasis has been brought on the actual...... construction of learning resources within all these MOOCs – and what demands they lay on teachers competences and teachers skills....

  5. e-Learning Resource Brokers

    NARCIS (Netherlands)

    Retalis, Symeon; Papasalouros, Andreas; Avgeriou, Paris; Siassiakos, Kostas

    2004-01-01

    There is an exponentially increasing demand for provisioning of high-quality learning resources, which is not satisfied by current web technologies and systems. E-Learning Resource Brokers are a potential solution to this problem, as they represent the state-of-the-art in facilitating the exchange

  6. Designing Learning Resources in Synchronous Learning Environments

    DEFF Research Database (Denmark)

    Christiansen, Rene B

    2015-01-01

    Computer-mediated Communication (CMC) and synchronous learning environments offer new solutions for teachers and students that transcend the singular one-way transmission of content knowledge from teacher to student. CMC makes it possible not only to teach computer mediated but also to design...... and create new learning resources targeted to a specific group of learners. This paper addresses the possibilities of designing learning resources within synchronous learning environments. The empirical basis is a cross-country study involving students and teachers in primary schools in three Nordic...... Countries (Denmark, Sweden and Norway). On the basis of these empirical studies a set of design examples is drawn with the purpose of showing how the design fulfills the dual purpose of functioning as a remote, synchronous learning environment and - using the learning materials used and recordings...

  7. Modeling Time Series Data for Supervised Learning

    Science.gov (United States)

    Baydogan, Mustafa Gokce

    2012-01-01

    Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…

  8. Resources and Resourcefulness in Language Teaching and Learning

    African Journals Online (AJOL)

    Attempts will be made in this paper to examine what we mean by language, language teaching and learning, resources and resourcefulness in language teaching and learning and the benefit of teachers being resourceful in language teaching and learning to both the learners, the teachers, the society and the nation at ...

  9. DIY Solar Market Analysis Webinar Series: Solar Resource and Technical

    Science.gov (United States)

    Series: Solar Resource and Technical Potential DIY Solar Market Analysis Webinar Series: Solar Resource and Technical Potential Wednesday, June 11, 2014 As part of a Do-It-Yourself Solar Market Analysis Potential | State, Local, and Tribal Governments | NREL DIY Solar Market Analysis Webinar

  10. Human Resource Management in Virtual Organizations. Research in Human Resource Management Series.

    Science.gov (United States)

    Heneman, Robert L., Ed.; Greenberger, David B., Ed.

    This document contains 14 papers on human resources (HR) and human resource management (HRM) in virtual organizations. The following papers are included: "Series Preface" (Rodger Griffeth); "Volume Preface" (Robert L. Heneman, David B. Greenberger); "The Virtual Organization: Definition, Description, and…

  11. Managing Human Resource Learning for Innovation

    DEFF Research Database (Denmark)

    Nielsen, Peter

    Managing human resource learning for innovation develops a systemic understanding of building innovative capabilities. Building innovative capabilities require active creation, coordination and absorption of useful knowledge and thus a cohesive management approach to learning. Often learning...... in organizations and work is approached without considerations on how to integrate it in the management of human resources. The book investigates the empirical conditions for managing human resources learning for innovation. With focus on innovative performance the importance of modes of innovation, clues...

  12. Egyptians, Maya, Minoans. Learning Works Enrichment Series.

    Science.gov (United States)

    Matthies, Susanna

    The activities in this instructional resource book are designed to be used by gifted 4-8th grade students as independent research guides or in guided or cooperative learning environments. The activities are organized in three sections which focus the ancient civilizations of Egypt, Maya, and Minoa. The activities presented encourage development of…

  13. Medical student use of digital learning resources.

    Science.gov (United States)

    Scott, Karen; Morris, Anne; Marais, Ben

    2018-02-01

    University students expect to use technology as part of their studies, yet health professional teachers can struggle with the change in student learning habits fuelled by technology. Our research aimed to document the learning habits of contemporary medical students during a clinical rotation by exploring the use of locally and externally developed digital and print self-directed learning resources, and study groups. We investigated the learning habits of final-stage medical students during their clinical paediatric rotation using mixed methods, involving learning analytics and a student questionnaire. Learning analytics tracked aggregate student usage statistics of locally produced e-learning resources on two learning management systems and mobile learning resources. The questionnaire recorded student-reported use of digital and print learning resources and study groups. The students made extensive use of digital self-directed learning resources, especially in the 2 weeks before the examination, which peaked the day before the written examination. All students used locally produced digital formative assessment, and most (74/98; 76%) also used digital resources developed by other institutions. Most reported finding locally produced e-learning resources beneficial for learning. In terms of traditional forms of self-directed learning, one-third (28/94; 30%) indicated that they never read the course textbook, and few students used face-to-face 39/98 (40%) or online 6/98 (6%) study groups. Learning analytics and student questionnaire data confirmed the extensive use of digital resources for self-directed learning. Through clarification of learning habits and experiences, we think teachers can help students to optimise effective learning strategies; however, the impact of contemporary learning habits on learning efficacy requires further evaluation. Health professional teachers can struggle with the change in student learning habits fuelled by technology. © 2017 John

  14. Geothermal resource assessment of Ouray, Colorado. Resource series 15

    Energy Technology Data Exchange (ETDEWEB)

    Zacharakis, T.G.; Ringrose, C.D.; Pearl, R.H.

    1981-01-01

    In 1979, a program was initiated to delineate the geological features controlling the occurrence of geothermal resources in Colorado. In the Ouray area, this effort consisted of geological mapping, soil mercury geochemical surveys and resistivity geophysical surveys. The soil mercury obtained inconclusive results, with the Box Canyon area indicating a few anomalous values, but these values are questionable and probably are due to the hot spring activity and mineralization within the Leadville limestone rock. One isolated locality indicating anomalous values was near the Radium Springs pool and ball park, but this appears to be related to warm waters leaking from a buried pipe or from the Uncompahgre River. The electrical resistivity survey however, indicated several areas of low resistivity zones namely above the Box Canyon area, the power station area and the Wiesbaden Motel area. From these low zones it is surmised that the springs are related to a complex fault system which serves as a conduit for the deep circulation of ground waters through the system.

  15. Teaching with technology: free Web resources for teaching and learning.

    Science.gov (United States)

    Wink, Diane M; Smith-Stoner, Marilyn

    2011-01-01

    In this bimonthly series, the department editor examines how nurse educators can use Internet and Web-based computer technologies such as search, communication, collaborative writing tools; social networking, and social bookmarking sites; virtual worlds; and Web-based teaching and learning programs. In this article, the department editor and her coauthor describe free Web-based resources that can be used to support teaching and learning.

  16. Integrative learning for practicing adaptive resource management

    Directory of Open Access Journals (Sweden)

    Craig A. McLoughlin

    2015-03-01

    Full Text Available Adaptive resource management is a learning-by-doing approach to natural resource management. Its effective practice involves the activation, completion, and regeneration of the "adaptive management cycle" while working toward achieving a flexible set of collaboratively identified objectives. This iterative process requires application of single-, double-, and triple-loop learning, to strategically modify inputs, outputs, assumptions, and hypotheses linked to improving policies, management strategies, and actions, along with transforming governance. Obtaining an appropriate balance between these three modes of learning has been difficult to achieve in practice and building capacity in this area can be achieved through an emphasis on reflexive learning, by employing adaptive feedback systems. A heuristic reflexive learning framework for adaptive resource management is presented in this manuscript. It is built on the conceptual pillars of the following: stakeholder driven adaptive feedback systems; strategic adaptive management (SAM; and hierarchy theory. The SAM Reflexive Learning Framework (SRLF emphasizes the types, roles, and transfer of information within a reflexive learning context. Its adaptive feedback systems enhance the facilitation of single-, double-, and triple-loop learning. Focus on the reflexive learning process is further fostered by streamlining objectives within and across all governance levels; incorporating multiple interlinked adaptive management cycles; having learning as an ongoing, nested process; recognizing when and where to employ the three-modes of learning; distinguishing initiating conditions for this learning; and contemplating practitioner mandates for this learning across governance levels. The SRLF is a key enabler for implementing the "adaptive management cycle," and thereby translating the theory of adaptive resource management into practice. It promotes the heuristics of adaptive management within a cohesive

  17. From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning

    Science.gov (United States)

    Yu, Shengquan; Yang, Xianmin; Cheng, Gang; Wang, Minjuan

    2015-01-01

    This paper presents a new model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social, and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a…

  18. Resource Guide for Persons with Learning Impairments.

    Science.gov (United States)

    IBM, Atlanta, GA. National Support Center for Persons with Disabilities.

    The resource guide identifies products which assist learning disabled and mentally retarded individuals in accessing IBM (International Business Machine) Personal Computers or the IBM Personal System/2 family of products. An introduction provides a general overview of ways computers can help learning disabled or retarded persons. The document then…

  19. Metadata and Ontologies in Learning Resources Design

    Science.gov (United States)

    Vidal C., Christian; Segura Navarrete, Alejandra; Menéndez D., Víctor; Zapata Gonzalez, Alfredo; Prieto M., Manuel

    Resource design and development requires knowledge about educational goals, instructional context and information about learner's characteristics among other. An important information source about this knowledge are metadata. However, metadata by themselves do not foresee all necessary information related to resource design. Here we argue the need to use different data and knowledge models to improve understanding the complex processes related to e-learning resources and their management. This paper presents the use of semantic web technologies, as ontologies, supporting the search and selection of resources used in design. Classification is done, based on instructional criteria derived from a knowledge acquisition process, using information provided by IEEE-LOM metadata standard. The knowledge obtained is represented in an ontology using OWL and SWRL. In this work we give evidence of the implementation of a Learning Object Classifier based on ontology. We demonstrate that the use of ontologies can support the design activities in e-learning.

  20. Queensland Museum Online Learning Resources

    Science.gov (United States)

    Bauer, Adriana

    2009-01-01

    This article evaluates three online educational resources on the Queensland Museum website in terms of their use of ICTs in science education; how they relate to the Queensland Middle School Science Curriculum and the Senior Biology, Marine Studies, Science 21 syllabuses; their visual appeal and level of student engagement; the appropriateness of…

  1. Desktop Publishing as a Learning Resources Service.

    Science.gov (United States)

    Drake, David

    In late 1988, Midland College in Texas implemented a desktop publishing service to produce instructional aids and reduce and complement the workload of the campus print shop. The desktop service was placed in the Media Services Department of the Learning Resource Center (LRC) for three reasons: the LRC was already established as a campus-wide…

  2. Introducing RFID at Middlesex University Learning Resources

    Science.gov (United States)

    Hopkinson, Alan; Chandrakar, Rajesh

    2006-01-01

    Purpose: To describe the first year of the implementation of radio frequency identification (RFID) in Middlesex University Learning Resources. Design/methodology/approach: The technology is explained in detail to set the scene. Information on the implementation is presented in chronological order. Findings: Problems which would generally be…

  3. Relationship between learning resources and student's academic ...

    African Journals Online (AJOL)

    The study investigated relationship between learning resources and student's academic achievement in science subjects in Taraba State Secondary Schools. A total of 35 science teachers and 18 science head of departments from 6 schools from three geopolitical zones of Taraba State were involved in the study.

  4. Enhanced Resource Descriptions Help Learning Matrix Users.

    Science.gov (United States)

    Roempler, Kimberly S.

    2003-01-01

    Describes the Learning Matrix digital library which focuses on improving the preparation of math and science teachers by supporting faculty who teach introductory math and science courses in two- and four-year colleges. Suggests it is a valuable resource for school library media specialists to support new science and math teachers. (LRW)

  5. Distance Learning. Leonardo da Vinci Series: Good Practices.

    Science.gov (United States)

    Commission of the European Communities, Brussels (Belgium). Directorate-General for Education and Culture.

    This brochure, part of a series about good practices in vocational training in the European Union, describes 12 projects that use distance learning to promote lifelong learning in adults. The projects and their countries of origin are as follows: (1) 3D Project, training in the use of IT tools for 3D simulation and animation and practical…

  6. Learning Resource Centre in a Company

    Directory of Open Access Journals (Sweden)

    Aleksander Pokovec

    2001-12-01

    Full Text Available In the conditions of growing competition people are becoming the essential competitive advantage. Because of too much work, stress, too many responsibilities and other factors, employees are often unmotivated. Everyday self-study is the best way that leads to excellence. In order to enable self-study for all employees, the organisation should organise their own learning resource centre that includes: educational videoprogrammes, audio tapes, books and e-learning programmes. All educational programmes should cover business and personal topics.

  7. Civic Education and Deeper Learning. Deeper Learning Research Series

    Science.gov (United States)

    Levine, Peter; Kawashima-Ginsberg, Kei

    2015-01-01

    This report proposes that the turn toward deeper learning in education reform should go hand in hand with a renewed emphasis on high-quality civics education. Not only does deeper learning have great potential to promote civic outcomes and strengthen our democracy but, at the same time, civic education exemplifies deeper learning, in that it…

  8. MEAT: An Authoring Tool for Generating Adaptable Learning Resources

    Science.gov (United States)

    Kuo, Yen-Hung; Huang, Yueh-Min

    2009-01-01

    Mobile learning (m-learning) is a new trend in the e-learning field. The learning services in m-learning environments are supported by fundamental functions, especially the content and assessment services, which need an authoring tool to rapidly generate adaptable learning resources. To fulfill the imperious demand, this study proposes an…

  9. Stochastic time series analysis of hydrology data for water resources

    Science.gov (United States)

    Sathish, S.; Khadar Babu, S. K.

    2017-11-01

    The prediction to current publication of stochastic time series analysis in hydrology and seasonal stage. The different statistical tests for predicting the hydrology time series on Thomas-Fiering model. The hydrology time series of flood flow have accept a great deal of consideration worldwide. The concentration of stochastic process areas of time series analysis method are expanding with develop concerns about seasonal periods and global warming. The recent trend by the researchers for testing seasonal periods in the hydrologic flowseries using stochastic process on Thomas-Fiering model. The present article proposed to predict the seasonal periods in hydrology using Thomas-Fiering model.

  10. A novel time series link prediction method: Learning automata approach

    Science.gov (United States)

    Moradabadi, Behnaz; Meybodi, Mohammad Reza

    2017-09-01

    Link prediction is a main social network challenge that uses the network structure to predict future links. The common link prediction approaches to predict hidden links use a static graph representation where a snapshot of the network is analyzed to find hidden or future links. For example, similarity metric based link predictions are a common traditional approach that calculates the similarity metric for each non-connected link and sort the links based on their similarity metrics and label the links with higher similarity scores as the future links. Because people activities in social networks are dynamic and uncertainty, and the structure of the networks changes over time, using deterministic graphs for modeling and analysis of the social network may not be appropriate. In the time-series link prediction problem, the time series link occurrences are used to predict the future links In this paper, we propose a new time series link prediction based on learning automata. In the proposed algorithm for each link that must be predicted there is one learning automaton and each learning automaton tries to predict the existence or non-existence of the corresponding link. To predict the link occurrence in time T, there is a chain consists of stages 1 through T - 1 and the learning automaton passes from these stages to learn the existence or non-existence of the corresponding link. Our preliminary link prediction experiments with co-authorship and email networks have provided satisfactory results when time series link occurrences are considered.

  11. Characteristic research on Hong Kong "I learned" series computer textbooks

    Science.gov (United States)

    Hu, Jinyan; Liu, Zhongxia; Li, Yuanyuan; Lu, Jianheng; Zhang, Lili

    2011-06-01

    Currently, the construction of information technology textbooks in the primary and middle schools is an important content of the information technology curriculum reform. The article expect to have any inspire and reference on inland China school information technology teaching material construction and development through the analyzing and refining the characteristics of the Hong Kong quality textbook series - "I learn . elementary school computer cognitive curriculum".

  12. Lasers. Technology Learning Activity. Teacher Edition. Technology Education Series.

    Science.gov (United States)

    Oklahoma State Dept. of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

    This document contains the materials required for presenting an 8-day competency-based technology learning activity (TLA) designed to introduce students in grades 6-10 to advances and career opportunities in the field of laser technology. The guide uses a series of hands-on exploratory experiences into which activities to help students develop…

  13. Learning Method, Facilities And Infrastructure, And Learning Resources In Basic Networking For Vocational School

    OpenAIRE

    Pamungkas, Bian Dwi

    2017-01-01

    This study aims to examine the contribution of learning methods on learning output, the contribution of facilities and infrastructure on output learning, the contribution of learning resources on learning output, and the contribution of learning methods, the facilities and infrastructure, and learning resources on learning output. The research design is descriptive causative, using a goal-oriented assessment approach in which the assessment focuses on assessing the achievement of a goal. The ...

  14. Learning of time series through neuron-to-neuron instruction

    Energy Technology Data Exchange (ETDEWEB)

    Miyazaki, Y [Department of Physics, Kyoto University, Kyoto 606-8502, (Japan); Kinzel, W [Institut fuer Theoretische Physik, Universitaet Wurzburg, 97074 Wurzburg (Germany); Shinomoto, S [Department of Physics, Kyoto University, Kyoto (Japan)

    2003-02-07

    A model neuron with delayline feedback connections can learn a time series generated by another model neuron. It has been known that some student neurons that have completed such learning under the instruction of a teacher's quasi-periodic sequence mimic the teacher's time series over a long interval, even after instruction has ceased. We found that in addition to such faithful students, there are unfaithful students whose time series eventually diverge exponentially from that of the teacher. In order to understand the circumstances that allow for such a variety of students, the orbit dimension was estimated numerically. The quasi-periodic orbits in question were found to be confined in spaces with dimensions significantly smaller than that of the full phase space.

  15. Learning of time series through neuron-to-neuron instruction

    International Nuclear Information System (INIS)

    Miyazaki, Y; Kinzel, W; Shinomoto, S

    2003-01-01

    A model neuron with delayline feedback connections can learn a time series generated by another model neuron. It has been known that some student neurons that have completed such learning under the instruction of a teacher's quasi-periodic sequence mimic the teacher's time series over a long interval, even after instruction has ceased. We found that in addition to such faithful students, there are unfaithful students whose time series eventually diverge exponentially from that of the teacher. In order to understand the circumstances that allow for such a variety of students, the orbit dimension was estimated numerically. The quasi-periodic orbits in question were found to be confined in spaces with dimensions significantly smaller than that of the full phase space

  16. Discovery and Use of Online Learning Resources: Case Study Findings

    Science.gov (United States)

    Recker, Mimi M.; Dorward, James; Nelson, Laurie Miller

    2004-01-01

    Much recent research and funding have focused on building Internet-based repositories that contain collections of high-quality learning resources, often called "learning objects." Yet little is known about how non-specialist users, in particular teachers, find, access, and use digital learning resources. To address this gap, this article…

  17. Profiling and Utilizing Learning Style. NASSP Learning Style Series.

    Science.gov (United States)

    Keefe, James W., Ed.

    In 1986, the National Association of Secondary School Principals, with the assistance of a national task force, published the NASSP Learning Style Profile (LSP) for diagnosis of the cognitive styles, perceptual response tendencies, and instructional preferences of middle level and senior high school students. This monograph offers a short course…

  18. Discovery and Use of Online Learning Resources: Case Study Findings

    OpenAIRE

    Laurie Miller Nelson; James Dorward; Mimi M. Recker

    2004-01-01

    Much recent research and funding have focused on building Internet-based repositories that contain collections of high-quality learning resources, often called learning objects. Yet little is known about how non-specialist users, in particular teachers, find, access, and use digital learning resources. To address this gap, this article describes a case study of mathematics and science teachers practices and desires surrounding the discovery, selection, and use of digital library resources for...

  19. Energy landscapes for a machine learning application to series data

    Energy Technology Data Exchange (ETDEWEB)

    Ballard, Andrew J.; Stevenson, Jacob D.; Das, Ritankar; Wales, David J., E-mail: dw34@cam.ac.uk [University Chemical Laboratories, Lensfield Road, Cambridge CB2 1EW (United Kingdom)

    2016-03-28

    Methods developed to explore and characterise potential energy landscapes are applied to the corresponding landscapes obtained from optimisation of a cost function in machine learning. We consider neural network predictions for the outcome of local geometry optimisation in a triatomic cluster, where four distinct local minima exist. The accuracy of the predictions is compared for fits using data from single and multiple points in the series of atomic configurations resulting from local geometry optimisation and for alternative neural networks. The machine learning solution landscapes are visualised using disconnectivity graphs, and signatures in the effective heat capacity are analysed in terms of distributions of local minima and their properties.

  20. Energy landscapes for a machine learning application to series data

    International Nuclear Information System (INIS)

    Ballard, Andrew J.; Stevenson, Jacob D.; Das, Ritankar; Wales, David J.

    2016-01-01

    Methods developed to explore and characterise potential energy landscapes are applied to the corresponding landscapes obtained from optimisation of a cost function in machine learning. We consider neural network predictions for the outcome of local geometry optimisation in a triatomic cluster, where four distinct local minima exist. The accuracy of the predictions is compared for fits using data from single and multiple points in the series of atomic configurations resulting from local geometry optimisation and for alternative neural networks. The machine learning solution landscapes are visualised using disconnectivity graphs, and signatures in the effective heat capacity are analysed in terms of distributions of local minima and their properties.

  1. Towards the Sigma Online Learning Model for crowdsourced recommendations of good web-based learning resources

    OpenAIRE

    Aaberg, Robin Garen

    2016-01-01

    The web based learning resources is believed to be playing an active role in the learning environment of higher education today. This qualitative study is exploring how students at Bergen University College incorporate web-based learning resources in their learning activities. At the core of this research is the problem of retrieving good web-resources after their first discovery. Usefull and knowledge granting web-resources are discovered within a context of topics, objectives. It is here ar...

  2. Generation and Validation of Spatial Distribution of Hourly Wind Speed Time-Series using Machine Learning

    International Nuclear Information System (INIS)

    Veronesi, F; Grassi, S

    2016-01-01

    Wind resource assessment is a key aspect of wind farm planning since it allows to estimate the long term electricity production. Moreover, wind speed time-series at high resolution are helpful to estimate the temporal changes of the electricity generation and indispensable to design stand-alone systems, which are affected by the mismatch of supply and demand. In this work, we present a new generalized statistical methodology to generate the spatial distribution of wind speed time-series, using Switzerland as a case study. This research is based upon a machine learning model and demonstrates that statistical wind resource assessment can successfully be used for estimating wind speed time-series. In fact, this method is able to obtain reliable wind speed estimates and propagate all the sources of uncertainty (from the measurements to the mapping process) in an efficient way, i.e. minimizing computational time and load. This allows not only an accurate estimation, but the creation of precise confidence intervals to map the stochasticity of the wind resource for a particular site. The validation shows that machine learning can minimize the bias of the wind speed hourly estimates. Moreover, for each mapped location this method delivers not only the mean wind speed, but also its confidence interval, which are crucial data for planners. (paper)

  3. Generation and Validation of Spatial Distribution of Hourly Wind Speed Time-Series using Machine Learning

    Science.gov (United States)

    Veronesi, F.; Grassi, S.

    2016-09-01

    Wind resource assessment is a key aspect of wind farm planning since it allows to estimate the long term electricity production. Moreover, wind speed time-series at high resolution are helpful to estimate the temporal changes of the electricity generation and indispensable to design stand-alone systems, which are affected by the mismatch of supply and demand. In this work, we present a new generalized statistical methodology to generate the spatial distribution of wind speed time-series, using Switzerland as a case study. This research is based upon a machine learning model and demonstrates that statistical wind resource assessment can successfully be used for estimating wind speed time-series. In fact, this method is able to obtain reliable wind speed estimates and propagate all the sources of uncertainty (from the measurements to the mapping process) in an efficient way, i.e. minimizing computational time and load. This allows not only an accurate estimation, but the creation of precise confidence intervals to map the stochasticity of the wind resource for a particular site. The validation shows that machine learning can minimize the bias of the wind speed hourly estimates. Moreover, for each mapped location this method delivers not only the mean wind speed, but also its confidence interval, which are crucial data for planners.

  4. A comparison of the stochastic and machine learning approaches in hydrologic time series forecasting

    Science.gov (United States)

    Kim, T.; Joo, K.; Seo, J.; Heo, J. H.

    2016-12-01

    Hydrologic time series forecasting is an essential task in water resources management and it becomes more difficult due to the complexity of runoff process. Traditional stochastic models such as ARIMA family has been used as a standard approach in time series modeling and forecasting of hydrological variables. Due to the nonlinearity in hydrologic time series data, machine learning approaches has been studied with the advantage of discovering relevant features in a nonlinear relation among variables. This study aims to compare the predictability between the traditional stochastic model and the machine learning approach. Seasonal ARIMA model was used as the traditional time series model, and Random Forest model which consists of decision tree and ensemble method using multiple predictor approach was applied as the machine learning approach. In the application, monthly inflow data from 1986 to 2015 of Chungju dam in South Korea were used for modeling and forecasting. In order to evaluate the performances of the used models, one step ahead and multi-step ahead forecasting was applied. Root mean squared error and mean absolute error of two models were compared.

  5. Student Learning in the Information Age. American Council on Education Series on Higher Education.

    Science.gov (United States)

    Breivik, Patricia Senn

    This book discusses resource-based learning in higher education. One premise of resource-based learning is that as students become able to select their own learning materials from information resources, they become active, independent learners, while professors become learning facilitators in cooperation with librarians and other information…

  6. The AAG Resource Paper Series Should Narrow Its Focus and Broaden Its Audience.

    Science.gov (United States)

    Bell, Thomas L.

    1986-01-01

    Reviews the goals and content of the Association of American Geographers' (AAG) Resource Paper Series which began publication in 1968. Catalogs the titles and content of issues which have sold well and recommends that the series be targeted toward a pedagogical focus on a variety of topics. (JDH)

  7. Health professional learner attitudes and use of digital learning resources.

    Science.gov (United States)

    Maloney, Stephen; Chamberlain, Michael; Morrison, Shane; Kotsanas, George; Keating, Jennifer L; Ilic, Dragan

    2013-01-16

    Web-based digital repositories allow educational resources to be accessed efficiently and conveniently from diverse geographic locations, hold a variety of resource formats, enable interactive learning, and facilitate targeted access for the user. Unlike some other learning management systems (LMS), resources can be retrieved through search engines and meta-tagged labels, and content can be streamed, which is particularly useful for multimedia resources. The aim of this study was to examine usage and user experiences of an online learning repository (Physeek) in a population of physiotherapy students. The secondary aim of this project was to examine how students prefer to access resources and which resources they find most helpful. The following data were examined using an audit of the repository server: (1) number of online resources accessed per day in 2010, (2) number of each type of resource accessed, (3) number of resources accessed during business hours (9 am to 5 pm) and outside business hours (years 1-4), (4) session length of each log-on (years 1-4), and (5) video quality (bit rate) of each video accessed. An online questionnaire and 3 focus groups assessed student feedback and self-reported experiences of Physeek. Students preferred the support provided by Physeek to other sources of educational material primarily because of its efficiency. Peak usage commonly occurred at times of increased academic need (ie, examination times). Students perceived online repositories as a potential tool to support lifelong learning and health care delivery. The results of this study indicate that today's health professional students welcome the benefits of online learning resources because of their convenience and usability. This represents a transition away from traditional learning styles and toward technological learning support and may indicate a growing link between social immersions in Internet-based connections and learning styles. The true potential for Web

  8. Mobile authoring of open educational resources for authentic learning scenarios

    NARCIS (Netherlands)

    Tabuenca, Bernardo; Kalz, Marco; Ternier, Stefaan; Specht, Marcus

    2014-01-01

    The proliferation of smartphones in the last decade and the number of publications in the field of authoring systems for computer-assisted learning depict a scenario that needs to be explored in order to facilitate the scaffolding of learning activities across contexts. Learning resources are

  9. What can we learn from resource pulses?

    Science.gov (United States)

    Yang, Louie H; Bastow, Justin L; Spence, Kenneth O; Wright, Amber N

    2008-03-01

    An increasing number of studies in a wide range of natural systems have investigated how pulses of resource availability influence ecological processes at individual, population, and community levels. Taken together, these studies suggest that some common processes may underlie pulsed resource dynamics in a wide diversity of systems. Developing a common framework of terms and concepts for the study of resource pulses may facilitate greater synthesis among these apparently disparate systems. Here, we propose a general definition of the resource pulse concept, outline some common patterns in the causes and consequences of resource pulses, and suggest a few key questions for future investigations. We define resource pulses as episodes of increased resource availability in space and time that combine low frequency (rarity), large magnitude (intensity), and short duration (brevity), and emphasize the importance of considering resource pulses at spatial and temporal scales relevant to specific resource-onsumer interactions. Although resource pulses are uncommon events for consumers in specific systems, our review of the existing literature suggests that pulsed resource dynamics are actually widespread phenomena in nature. Resource pulses often result from climatic and environmental factors, processes of spatiotemporal accumulation and release, outbreak population dynamics, or a combination of these factors. These events can affect life history traits and behavior at the level of individual consumers, numerical responses at the population level, and indirect effects at the community level. Consumers show strategies for utilizing ephemeral resources opportunistically, reducing resource variability by averaging over larger spatial scales, and tolerating extended interpulse periods of reduced resource availability. Resource pulses can also create persistent effects in communities through several mechanisms. We suggest that the study of resource pulses provides opportunities

  10. Ensemble Deep Learning for Biomedical Time Series Classification

    Directory of Open Access Journals (Sweden)

    Lin-peng Jin

    2016-01-01

    Full Text Available Ensemble learning has been proved to improve the generalization ability effectively in both theory and practice. In this paper, we briefly outline the current status of research on it first. Then, a new deep neural network-based ensemble method that integrates filtering views, local views, distorted views, explicit training, implicit training, subview prediction, and Simple Average is proposed for biomedical time series classification. Finally, we validate its effectiveness on the Chinese Cardiovascular Disease Database containing a large number of electrocardiogram recordings. The experimental results show that the proposed method has certain advantages compared to some well-known ensemble methods, such as Bagging and AdaBoost.

  11. Cluster analysis of activity-time series in motor learning

    DEFF Research Database (Denmark)

    Balslev, Daniela; Nielsen, Finn Å; Futiger, Sally A

    2002-01-01

    Neuroimaging studies of learning focus on brain areas where the activity changes as a function of time. To circumvent the difficult problem of model selection, we used a data-driven analytic tool, cluster analysis, which extracts representative temporal and spatial patterns from the voxel......-time series. The optimal number of clusters was chosen using a cross-validated likelihood method, which highlights the clustering pattern that generalizes best over the subjects. Data were acquired with PET at different time points during practice of a visuomotor task. The results from cluster analysis show...

  12. Discovery and Use of Online Learning Resources: Case Study Findings

    Directory of Open Access Journals (Sweden)

    Laurie Miller Nelson

    2004-04-01

    Full Text Available Much recent research and funding have focused on building Internet-based repositories that contain collections of high-quality learning resources, often called ‘learning objects.’ Yet little is known about how non-specialist users, in particular teachers, find, access, and use digital learning resources. To address this gap, this article describes a case study of mathematics and science teachers’ practices and desires surrounding the discovery, selection, and use of digital library resources for instructional purposes. Findings suggest that the teacher participants used a broad range of search strategies in order to find resources that they deemed were age-appropriate, current, and accurate. They intended to include these resources with little modifications into planned instructional activities. The article concludes with a discussion of the implications of the findings for improving the design of educational digital library systems, including tools supporting resource reuse.

  13. The fluidities of digital learning environments and resources

    DEFF Research Database (Denmark)

    Hansbøl, Mikala

    2012-01-01

    The research project “Educational cultures and serious games on a global market place” (2009-2011) dealt with the challenge of the digital learning environment and hence it’s educational development space always existing outside the present space and hence scope of activities. With a reference...... and establishments of the virtual universe called Mingoville.com, the research shows a need to include in researchers’ conceptualizations of digital learning environments and resources, their shifting materialities and platformations and hence emerging (often unpredictable) agencies and educational development...... spaces. Keywords: Fluidity, digital learning environment, digital learning resource, educational development space...

  14. Collaborative Learning in Practice: Examples from Natural Resource ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2010-12-01

    Dec 1, 2010 ... Case studies show how, through joint efforts with researchers and other actors, local ... address and learn from challenges in managing natural resources. ... health, and health systems research relevant to the emerging crisis.

  15. Parenting styles and learned resourcefulness of Turkish adolescents.

    Science.gov (United States)

    Türkel, Yeşim Deniz; Tezer, Esin

    2008-01-01

    This study investigated the differences among 834 high school students regarding learned resourcefulness in terms of perceived parenting style and gender. The data were gathered by administering the Parenting Style Inventory (PSI) and Rosenbaum's Self-Control Schedule (SCS). The results of ANOVA pertaining to the scores of learned resourcefulness yielded a significant main effect for parenting style groups. Neither the main effect for gender nor the gender and parenting style interaction effect was significant. The findings suggest that those who perceived their parents as authoritative had a relatively high level of learned resourcefulness as compared to those who perceived their parents as neglectful and authoritarian. Findings also indicated that those who perceived their parents as indulgent had a higher level of learned resourcefulness than those who perceived their parents as neglectful and authoritarian.

  16. CLOUD EDUCATIONAL RESOURCES FOR PHYSICS LEARNING RESEARCHES SUPPORT

    Directory of Open Access Journals (Sweden)

    Oleksandr V. Merzlykin

    2015-10-01

    Full Text Available The definition of cloud educational resource is given in paper. Its program and information components are characterized. The virtualization as the technological ground of transforming from traditional electronic educational resources to cloud ones is reviewed. Such levels of virtualization are described: data storage device virtualization (Data as Service, hardware virtualization (Hardware as Service, computer virtualization (Infrastructure as Service, software system virtualization (Platform as Service, «desktop» virtualization (Desktop as Service, software user interface virtualization (Software as Service. Possibilities of designing the cloud educational resources system for physics learning researches support taking into account standards of learning objects metadata (accessing via OAI-PMH protocol and standards of learning tools interoperability (LTI are shown. The example of integration cloud educational resources into Moodle learning management system with use of OAI-PMH and LTI is given.

  17. Human resource management and learning for innovation: pharmaceuticals in Mexico

    OpenAIRE

    Santiago-Rodriguez, Fernando

    2010-01-01

    This paper investigates the influence of human resource management on learning from internal and external sources of knowledge. Learning for innovation is a key ingredient of catching-up processes. The analysis builds on survey data about pharmaceutical firms in Mexico. Results show that the influence of human resource management is contingent on the knowledge flows and innovation goals pursued by the firm. Practices such as training-- particularly from external partners; and remuneration for...

  18. eLearning resources to supplement postgraduate neurosurgery training.

    OpenAIRE

    Stienen, MN; Schaller, K; Cock, H; Lisnic, V; Regli, L; Thomson, S

    2017-01-01

    BACKGROUND: In an increasingly complex and competitive professional environment, improving methods to educate neurosurgical residents is key to ensure high-quality patient care. Electronic (e)Learning resources promise interactive knowledge acquisition. We set out to give a comprehensive overview on available eLearning resources that aim to improve postgraduate neurosurgical training and review the available literature. MATERIAL AND METHODS: A MEDLINE query was performed, using the search ter...

  19. Sustainable Development in the Engineering Curriculum: Teaching and Learning Resources

    OpenAIRE

    Penlington, Roger; Steiner, Simon

    2014-01-01

    This repository of teaching and learning resources is a companion to the 2nd edition of “An Introduction to Sustainable Development in the Engineering Curriculum”, by Roger Penlington and Simon Steiner, originally created by The Higher Education Academy Engineering Subject Centre, Loughborough University. \\ud The purpose of this collection of teaching and learning re-sources is to provide access, with a brief resumé, to materials in curricula reform, recognition awards, and university movemen...

  20. eLearning resources to supplement postgraduate neurosurgery training.

    Science.gov (United States)

    Stienen, Martin N; Schaller, Karl; Cock, Hannah; Lisnic, Vitalie; Regli, Luca; Thomson, Simon

    2017-02-01

    In an increasingly complex and competitive professional environment, improving methods to educate neurosurgical residents is key to ensure high-quality patient care. Electronic (e)Learning resources promise interactive knowledge acquisition. We set out to give a comprehensive overview on available eLearning resources that aim to improve postgraduate neurosurgical training and review the available literature. A MEDLINE query was performed, using the search term "electronic AND learning AND neurosurgery". Only peer-reviewed English-language articles on the use of any means of eLearning to improve theoretical knowledge in postgraduate neurosurgical training were included. Reference lists were crosschecked for further relevant articles. Captured parameters were the year, country of origin, method of eLearning reported, and type of article, as well as its conclusion. eLearning resources were additionally searched for using Google. Of n = 301 identified articles by the MEDLINE search, n = 43 articles were analysed in detail. Applying defined criteria, n = 28 articles were excluded and n = 15 included. Most articles were generated within this decade, with groups from the USA, the UK and India having a leadership role. The majority of articles reviewed existing eLearning resources, others reported on the concept, development and use of generated eLearning resources. There was no article that scientifically assessed the effectiveness of eLearning resources (against traditional learning methods) in terms of efficacy or costs. Only one article reported on satisfaction rates with an eLearning tool. All authors of articles dealing with eLearning and the use of new media in neurosurgery uniformly agreed on its great potential and increasing future use, but most also highlighted some weaknesses and possible dangers. This review found only a few articles dealing with the modern aspects of eLearning as an adjunct to postgraduate neurosurgery training. Comprehensive

  1. Motivational Factors in Self-Directed Informal Learning from Online Learning Resources

    Science.gov (United States)

    Song, Donggil; Bonk, Curtis J.

    2016-01-01

    Learning is becoming more self-directed and informal with the support of emerging technologies. A variety of online resources have promoted informal learning by allowing people to learn on demand and just when needed. It is significant to understand self-directed informal learners' motivational aspects, their learning goals, obstacles, and…

  2. Social Responsibility and Sustainability: Multidisciplinary Perspectives through Service Learning. Service Learning for Civic Engagement Series

    Science.gov (United States)

    McDonald, Tracy, Ed.

    2011-01-01

    This concluding volume in the series presents the work of faculty who have been moved to make sustainability the focus of their work, and to use service learning as one method of teaching sustainability to their students. The chapters in the opening section of this book-- Environmental Awareness--offer models for opening students to the awareness…

  3. Learning Resources Organization Using Ontological Framework

    Science.gov (United States)

    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.

  4. Parenting Styles and Learned Resourcefulness of Turkish Adolescents

    Science.gov (United States)

    Turkel, Yesim Deniz; Tezer, Esin

    2008-01-01

    This study investigated the differences among 834 high school students regarding learned resourcefulness in terms of perceived parenting style and gender. The data were gathered by administering the Parenting Style Inventory (PSI) and Rosenbaum's Self-Control Schedule (SCS). The results of ANOVA pertaining to the scores of learned resourcefulness…

  5. Measuring Social Learning in Participatory Approaches to Natural Resource Management

    NARCIS (Netherlands)

    Wal, van der M.M.; Kraker, de J.; Offermans, A.; Kroeze, C.; Kirschner, P.; Ittersum, van M.K.

    2014-01-01

    The role of social learning as a governance mechanism in natural resource management has been frequently highlighted, but progress in finding evidence for this role and gaining insight into the conditions that promote it are hampered by the lack of operational definitions of social learning and

  6. Measuring social learning in participatory approaches to natural resource management.

    NARCIS (Netherlands)

    Van der Wal, Merel; De Kraker, Joop; Offermans, Astrid; Kroeze, Carolien; Kirschner, Paul A.; Van Ittersum, Martin

    2018-01-01

    The role of social learning as a governance mechanism in natural resource management has been frequently highlighted, but progress in finding evidence for this role and gaining insight into the conditions that promote it are hampered by the lack of operational definitions of social learning and

  7. Video interviewing as a learning resource

    DEFF Research Database (Denmark)

    Hedemann, Lars; Søndergaard, Helle Alsted

    2011-01-01

    The present investigation was carried out as a pilot study, with the aim of obtaining exploratory insights into the field of learning, and more specifically, how the use of video technology can be used as a mean to excel the outcome of the learning process. The motivation behind the study has its...... basis in the management education literature, and thereby in the discussion of how to organize teaching, in order to equip students with improved skills in reflective realization. Following the notion that experience is the basis for knowledge, the study was set out to explore how students at higher...... education programmes, i.e. at MSc and MBA level, can benefit from utilizing video recorded interviews in their process of learning and reflection. On the basis of the study, it is suggested that video interviewing makes up an interesting alternative to other learning approaches such as Simulation...

  8. Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes

    Directory of Open Access Journals (Sweden)

    Juan Pardo

    2015-04-01

    Full Text Available Time series forecasting is an important predictive methodology which can be applied to a wide range of problems. Particularly, forecasting the indoor temperature permits an improved utilization of the HVAC (Heating, Ventilating and Air Conditioning systems in a home and thus a better energy efficiency. With such purpose the paper describes how to implement an Artificial Neural Network (ANN algorithm in a low cost system-on-chip to develop an autonomous intelligent wireless sensor network. The present paper uses a Wireless Sensor Networks (WSN to monitor and forecast the indoor temperature in a smart home, based on low resources and cost microcontroller technology as the 8051MCU. An on-line learning approach, based on Back-Propagation (BP algorithm for ANNs, has been developed for real-time time series learning. It performs the model training with every new data that arrive to the system, without saving enormous quantities of data to create a historical database as usual, i.e., without previous knowledge. Consequently to validate the approach a simulation study through a Bayesian baseline model have been tested in order to compare with a database of a real application aiming to see the performance and accuracy. The core of the paper is a new algorithm, based on the BP one, which has been described in detail, and the challenge was how to implement a computational demanding algorithm in a simple architecture with very few hardware resources.

  9. Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes

    Science.gov (United States)

    Pardo, Juan; Zamora-Martínez, Francisco; Botella-Rocamora, Paloma

    2015-01-01

    Time series forecasting is an important predictive methodology which can be applied to a wide range of problems. Particularly, forecasting the indoor temperature permits an improved utilization of the HVAC (Heating, Ventilating and Air Conditioning) systems in a home and thus a better energy efficiency. With such purpose the paper describes how to implement an Artificial Neural Network (ANN) algorithm in a low cost system-on-chip to develop an autonomous intelligent wireless sensor network. The present paper uses a Wireless Sensor Networks (WSN) to monitor and forecast the indoor temperature in a smart home, based on low resources and cost microcontroller technology as the 8051MCU. An on-line learning approach, based on Back-Propagation (BP) algorithm for ANNs, has been developed for real-time time series learning. It performs the model training with every new data that arrive to the system, without saving enormous quantities of data to create a historical database as usual, i.e., without previous knowledge. Consequently to validate the approach a simulation study through a Bayesian baseline model have been tested in order to compare with a database of a real application aiming to see the performance and accuracy. The core of the paper is a new algorithm, based on the BP one, which has been described in detail, and the challenge was how to implement a computational demanding algorithm in a simple architecture with very few hardware resources. PMID:25905698

  10. Online learning algorithm for time series forecasting suitable for low cost wireless sensor networks nodes.

    Science.gov (United States)

    Pardo, Juan; Zamora-Martínez, Francisco; Botella-Rocamora, Paloma

    2015-04-21

    Time series forecasting is an important predictive methodology which can be applied to a wide range of problems. Particularly, forecasting the indoor temperature permits an improved utilization of the HVAC (Heating, Ventilating and Air Conditioning) systems in a home and thus a better energy efficiency. With such purpose the paper describes how to implement an Artificial Neural Network (ANN) algorithm in a low cost system-on-chip to develop an autonomous intelligent wireless sensor network. The present paper uses a Wireless Sensor Networks (WSN) to monitor and forecast the indoor temperature in a smart home, based on low resources and cost microcontroller technology as the 8051MCU. An on-line learning approach, based on Back-Propagation (BP) algorithm for ANNs, has been developed for real-time time series learning. It performs the model training with every new data that arrive to the system, without saving enormous quantities of data to create a historical database as usual, i.e., without previous knowledge. Consequently to validate the approach a simulation study through a Bayesian baseline model have been tested in order to compare with a database of a real application aiming to see the performance and accuracy. The core of the paper is a new algorithm, based on the BP one, which has been described in detail, and the challenge was how to implement a computational demanding algorithm in a simple architecture with very few hardware resources.

  11. Learning foreign languages in teletandem: Resources and strategies

    Directory of Open Access Journals (Sweden)

    João A. TELLES

    2015-12-01

    Full Text Available ABSTRACT Teletandem is a virtual, collaborative, and autonomous context in which two speakers of different languages use the text, voice, and webcam image resources of VOIP technology (Skype to help each other learn their native language (or language of proficiency. This paper focuses on learners' studying processes and their responses to teletandem. We collected quantitative and qualitative data from 134 university students through an online questionnaire. Results show the content of students' learning processes, resources, activities, and strategies. We conclude with a critical discussion of the results and raise pedagogical implications for the use o-f teletandem as a mode of online intercultural contact to learn foreign languages.

  12. Stressors, academic performance, and learned resourcefulness in baccalaureate nursing students.

    Science.gov (United States)

    Goff, Anne-Marie

    2011-01-01

    High stress levels in nursing students may affect memory, concentration, and problem-solving ability, and may lead to decreased learning, coping, academic performance, and retention. College students with higher levels of learned resourcefulness develop greater self-confidence, motivation, and academic persistence, and are less likely to become anxious, depressed, and frustrated, but no studies specifically involve nursing students. This explanatory correlational study used Gadzella's Student-life Stress Inventory (SSI) and Rosenbaum's Self Control Scale (SCS) to explore learned resourcefulness, stressors, and academic performance in 53 baccalaureate nursing students. High levels of personal and academic stressors were evident, but not significant predictors of academic performance (p = .90). Age was a significant predictor of academic performance (p = learned resourcefulness scores than females and Caucasians. Studies in larger, more diverse samples are necessary to validate these findings.

  13. Analyzing Crime and Crime Control: A Resource Guide. Economics-Political Science Series.

    Science.gov (United States)

    Butterfield, Ruth I.; And Others

    This document, the fourth in a series of resource guides emphasizing economic-political analysis of contemporary public policies and issues, focuses on crime control. Designed as a three-week unit for secondary school students, the guide is presented in three sections. The introduction presents an economic and a political science framework for…

  14. Learning about water resource sharing through game play

    Science.gov (United States)

    Ewen, Tracy; Seibert, Jan

    2016-10-01

    Games are an optimal way to teach about water resource sharing, as they allow real-world scenarios to be enacted. Both students and professionals learning about water resource management can benefit from playing games, through the process of understanding both the complexity of sharing of resources between different groups and decision outcomes. Here we address how games can be used to teach about water resource sharing, through both playing and developing water games. An evaluation of using the web-based game Irrigania in the classroom setting, supported by feedback from several educators who have used Irrigania to teach about the sustainable use of water resources, and decision making, at university and high school levels, finds Irrigania to be an effective and easy tool to incorporate into a curriculum. The development of two water games in a course for masters students in geography is also presented as a way to teach and communicate about water resource sharing. Through game development, students learned soft skills, including critical thinking, problem solving, team work, and time management, and overall the process was found to be an effective way to learn about water resource decision outcomes. This paper concludes with a discussion of learning outcomes from both playing and developing water games.

  15. Personalized Resource Recommendations using Learning from Positive and Unlabeled Examples

    Directory of Open Access Journals (Sweden)

    Priyank Thakkar

    2016-08-01

    Full Text Available This paper proposes a novel approach for recommending social resources using learning from positive and unlabeled examples. Bookmarks submitted on social bookmarking system delicious1 and artists on online music system last.fm2 are considered as social resources. The foremost feature of this problem is that there are no labeled negative resources/examples available for learning a recommender/classifier. The memory based collaborative filtering has served as the most widely used algorithm for social resource recommendation. However, its predictions are based on some ad hoc heuristic rules and its success depends on the availability of a critical mass of users. This paper proposes model based two-step techniques to learn a classifier using positive and unlabeled examples to address personalized resource recommendations. In the first step of these techniques, naïve Bayes classifier is employed to identify reliable negative resources. In the second step, to generate effective resource recommender, classification and regression tree and least square support vector machine (LS-SVM are exercised. A direct method based on LS-SVM is also put forward to realize the recommendation task. LS-SVM is customized for learning from positive and unlabeled data. Furthermore, the impact of feature selection on our proposed techniques is also studied. Memory based collaborative filtering as well as our proposed techniques exploit usage data to generate personalized recommendations. Experimental results show that the proposed techniques outperform existing method appreciably.

  16. Learning about water resource sharing through game play

    Directory of Open Access Journals (Sweden)

    T. Ewen

    2016-10-01

    Full Text Available Games are an optimal way to teach about water resource sharing, as they allow real-world scenarios to be enacted. Both students and professionals learning about water resource management can benefit from playing games, through the process of understanding both the complexity of sharing of resources between different groups and decision outcomes. Here we address how games can be used to teach about water resource sharing, through both playing and developing water games. An evaluation of using the web-based game Irrigania in the classroom setting, supported by feedback from several educators who have used Irrigania to teach about the sustainable use of water resources, and decision making, at university and high school levels, finds Irrigania to be an effective and easy tool to incorporate into a curriculum. The development of two water games in a course for masters students in geography is also presented as a way to teach and communicate about water resource sharing. Through game development, students learned soft skills, including critical thinking, problem solving, team work, and time management, and overall the process was found to be an effective way to learn about water resource decision outcomes. This paper concludes with a discussion of learning outcomes from both playing and developing water games.

  17. Forecasting air quality time series using deep learning.

    Science.gov (United States)

    Freeman, Brian S; Taylor, Graham; Gharabaghi, Bahram; Thé, Jesse

    2018-04-13

    This paper presents one of the first applications of deep learning (DL) techniques to predict air pollution time series. Air quality management relies extensively on time series data captured at air monitoring stations as the basis of identifying population exposure to airborne pollutants and determining compliance with local ambient air standards. In this paper, 8 hr averaged surface ozone (O 3 ) concentrations were predicted using deep learning consisting of a recurrent neural network (RNN) with long short-term memory (LSTM). Hourly air quality and meteorological data were used to train and forecast values up to 72 hours with low error rates. The LSTM was able to forecast the duration of continuous O 3 exceedances as well. Prior to training the network, the dataset was reviewed for missing data and outliers. Missing data were imputed using a novel technique that averaged gaps less than eight time steps with incremental steps based on first-order differences of neighboring time periods. Data were then used to train decision trees to evaluate input feature importance over different time prediction horizons. The number of features used to train the LSTM model was reduced from 25 features to 5 features, resulting in improved accuracy as measured by Mean Absolute Error (MAE). Parameter sensitivity analysis identified look-back nodes associated with the RNN proved to be a significant source of error if not aligned with the prediction horizon. Overall, MAE's less than 2 were calculated for predictions out to 72 hours. Novel deep learning techniques were used to train an 8-hour averaged ozone forecast model. Missing data and outliers within the captured data set were replaced using a new imputation method that generated calculated values closer to the expected value based on the time and season. Decision trees were used to identify input variables with the greatest importance. The methods presented in this paper allow air managers to forecast long range air pollution

  18. Diagnostic imaging learning resources evaluated by students and recent graduates.

    Science.gov (United States)

    Alexander, Kate; Bélisle, Marilou; Dallaire, Sébastien; Fernandez, Nicolas; Doucet, Michèle

    2013-01-01

    Many learning resources can help students develop the problem-solving abilities and clinical skills required for diagnostic imaging. This study explored veterinary students' perceptions of the usefulness of a variety of learning resources. Perceived resource usefulness was measured for different levels of students and for academic versus clinical preparation. Third-year (n=139) and final (fifth) year (n=105) students and recent graduates (n=56) completed questionnaires on perceived usefulness of each resource. Resources were grouped for comparison: abstract/low complexity (e.g., notes, multimedia presentations), abstract/high complexity (e.g., Web-based and film case repositories), concrete/low complexity (e.g., large-group "clicker" workshops), and concrete/high complexity (e.g., small-group interpretation workshops). Lower-level students considered abstract/low-complexity resources more useful for academic preparation and concrete resources more useful for clinical preparation. Higher-level students/recent graduates also considered abstract/low-complexity resources more useful for academic preparation. For all levels, lecture notes were considered highly useful. Multimedia slideshows were an interactive complement to notes. The usefulness of a Web-based case repository was limited by accessibility problems and difficulty. Traditional abstract/low-complexity resources were considered useful for more levels and contexts than expected. Concrete/high-complexity resources need to better represent clinical practice to be considered more useful for clinical preparation.

  19. Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning

    Directory of Open Access Journals (Sweden)

    David Afolabi

    2017-11-01

    Full Text Available The importance of an interference-less machine learning scheme in time series prediction is crucial, as an oversight can have a negative cumulative effect, especially when predicting many steps ahead of the currently available data. The on-going research on noise elimination in time series forecasting has led to a successful approach of decomposing the data sequence into component trends to identify noise-inducing information. The empirical mode decomposition method separates the time series/signal into a set of intrinsic mode functions ranging from high to low frequencies, which can be summed up to reconstruct the original data. The usual assumption that random noises are only contained in the high-frequency component has been shown not to be the case, as observed in our previous findings. The results from that experiment reveal that noise can be present in a low frequency component, and this motivates the newly-proposed algorithm. Additionally, to prevent the erosion of periodic trends and patterns within the series, we perform the learning of local and global trends separately in a hierarchical manner which succeeds in detecting and eliminating short/long term noise. The algorithm is tested on four datasets from financial market data and physical science data. The simulation results are compared with the conventional and state-of-the-art approaches for time series machine learning, such as the non-linear autoregressive neural network and the long short-term memory recurrent neural network, respectively. Statistically significant performance gains are recorded when the meta-learning algorithm for noise reduction is used in combination with these artificial neural networks. For time series data which cannot be decomposed into meaningful trends, applying the moving average method to create meta-information for guiding the learning process is still better than the traditional approach. Therefore, this new approach is applicable to the forecasting

  20. Learning Networks: connecting people, organizations, autonomous agents and learning resources to establish the emergence of effective lifelong learning

    NARCIS (Netherlands)

    Koper, Rob; Sloep, Peter

    2003-01-01

    Koper, E.J.R., Sloep, P.B. (2002) Learning Networks connecting people, organizations, autonomous agents and learning resources to establish the emergence of effective lifelong learning. RTD Programma into Learning Technologies 2003-2008. More is different… Heerlen, Nederland: Open Universiteit

  1. Work Identification - Inhibition or Resource for Learning?

    DEFF Research Database (Denmark)

    Olesen, Henning Salling

    2006-01-01

    This chapter discusses ways in which the subjective identification with work influences one's motivation to engage in learning. The chapter argues that a life history approach, which takes into account the subjective as well as the objective aspects of work can help us to understand the life...... transition challenges faced by older workers. The chapter draws on research and experience of the life history project at Roskilde University...

  2. Big Rock Candy Mountain. Resources for Our Education. A Learning to Learn Catalog. Winter 1970.

    Science.gov (United States)

    Portola Inst., Inc., Menlo Park, CA.

    Imaginative learning resources of various types are reported in this catalog under the subject headings of process learning, education environments, classroom materials and methods, home learning, and self discovery. Books reviewed are on the subjects of superstition, Eastern religions, fairy tales, philosophy, creativity, poetry, child care,…

  3. Pupil Science Learning in Resource-Based e-Learning Environments

    Science.gov (United States)

    So, Wing-mui Winnie; Ching, Ngai-ying Fiona

    2011-01-01

    With the rapid expansion of broadband Internet connection and availability of high performance yet low priced computers, many countries around the world are advocating the adoption of e-learning, the use of computer technology to improve learning and teaching. The trend of e-learning has urged many teachers to incorporate online resources in their…

  4. Educational resources and tools for robotic learning

    Directory of Open Access Journals (Sweden)

    Pablo Gil Vazquez

    2012-07-01

    Full Text Available Normal.dotm 0 0 1 139 795 Universidad de Salamanca 6 1 976 12.0 0 false 18 pt 18 pt 0 0 false false false /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} This paper discusses different teaching experiences which aims are the learning robotics in the university. These experiences are reflected in the development of several robotics courses and subjects at the University of Alicante.  The authors have created various educational platforms or they have used tools of free distribution and open source for the implementation of these courses. The main objetive of these courses is to teach the design and implementation of robotic solutions to solve various problems not only such as the control, programming and handling of robot but also the assembly, building and programming of educational mini-robots. On the one hand, new teaching tools are used such as simulators and virtual labs which make flexible the learning of robot arms. On the other hand, competitions are used to motivate students because this way, the students put into action the skills learned through building and programming low-cost mini-robots.

  5. Resource-based learning strategies: implications for students and institutions

    Directory of Open Access Journals (Sweden)

    Malcolm Ryan

    1996-12-01

    Full Text Available In its strategic plan, the University of Greenwich envisages a significant shift to resource-based learning (RBL. Enterprise in Higher Education (EHE has funded five pilot RBL projects during the past year, including one in introductory economics. The project was managed by three lecturers in the School of Social Sciences, supported by an Academic Development Officer. Learning outcomes were completely revised, and a range of assessment strategies, including computer-based tests, was identified. A resources guide was produced which identified the materials and activities that would enable students to achieve the learning outcomes. A number of innovations were adopted, including: • computer-based curriculum delivery, assessment, and student evaluation of the course; • an open approach to assessment; • abolishing lectures in favour of a diverse range of teaching and learning activities.

  6. Sustainability Learning in Natural Resource Use and Management

    Directory of Open Access Journals (Sweden)

    J. David Tàbara

    2007-12-01

    Full Text Available We contribute to the normative discussion on sustainability learning and provide a theoretical integrative framework intended to underlie the main components and interrelations of what learning is required for social learning to become sustainability learning. We demonstrate how this framework has been operationalized in a participatory modeling interface to support processes of natural resource integrated assessment and management. The key modeling components of our view are: structure (S, energy and resources (E, information and knowledge (I, social-ecological change (C, and the size, thresholds, and connections of different social-ecological systems. Our approach attempts to overcome many of the cultural dualisms that exist in the way social and ecological systems are perceived and affect many of the most common definitions of sustainability. Our approach also emphasizes the issue of limits within a total social-ecological system and takes a multiscale, agent-based perspective. Sustainability learning is different from social learning insofar as not all of the outcomes of social learning processes necessarily improve what we consider as essential for the long-term sustainability of social-ecological systems, namely, the co-adaptive systemic capacity of agents to anticipate and deal with the unintended, undesired, and irreversible negative effects of development. Hence, the main difference of sustainability learning from social learning is the content of what is learned and the criteria used to assess such content; these are necessarily related to increasing the capacity of agents to manage, in an integrative and organic way, the total social-ecological system of which they form a part. The concept of sustainability learning and the SEIC social-ecological framework can be useful to assess and communicate the effectiveness of multiple agents to halt or reverse the destructive trends affecting the life-support systems upon which all humans

  7. Mediated learning in the workplace: student perspectives on knowledge resources.

    Science.gov (United States)

    Shanahan, Madeleine

    2015-01-01

    In contemporary clinical practice, student radiographers can use many types of knowledge resources to support their learning. These include workplace experts, digital and nondigital information sources (eg, journals, textbooks, and the Internet), and electronic communication tools such as e-mail and social media. Despite the range of knowledge tools available, there is little available data about radiography students' use of these resources during clinical placement. A 68-item questionnaire was distributed to 62 students enrolled in an Australian university undergraduate radiography program after they completed a clinical placement. Researchers used descriptive statistics to analyze student access to workplace experts and their use of digital and nondigital information sources and electronic communication tools. A 5-point Likert scale (1 = very important; 5 = not important) was used to assess the present importance and perceived future value of knowledge tools for workplace learning. Of the 53 students who completed and returned the questionnaire anonymously, most rely on the knowledge of practicing technologists and on print and electronic information sources to support their learning; some students also use electronic communication tools. Students perceive that these knowledge resources also will be important tools for their future learning as qualified health professionals. The findings from this study present baseline data regarding the value students attribute to multiple knowledge tools and regarding student access to and use of these tools during clinical placement. In addition, most students have access to multiple knowledge tools in the workplace and incorporate these tools simultaneously into their overall learning practice during clinical placement. Although a range of knowledge tools is used in the workplace to support learning among student radiographers, the quality of each tool should be critically analyzed before it is adopted in practice

  8. Fostering Environmental Knowledge and Action through Online Learning Resources

    DEFF Research Database (Denmark)

    Maier, Carmen Daniela

    2010-01-01

    In order to secure correct understanding of environmental issues, to promote behavioral change and to encourage environmental action, more and more educational practices support and provide environmental programs. This article explores the design of online learning resources created for teachers...... and students by the GreenLearning environmental education program. The topic is approached from a social semiotic perspective. I conduct a multimodal analysis of the knowledge processes and the knowledge selection types that characterize the GreenLearning environmental education program and its online...

  9. Reinforcement learning techniques for controlling resources in power networks

    Science.gov (United States)

    Kowli, Anupama Sunil

    As power grids transition towards increased reliance on renewable generation, energy storage and demand response resources, an effective control architecture is required to harness the full functionalities of these resources. There is a critical need for control techniques that recognize the unique characteristics of the different resources and exploit the flexibility afforded by them to provide ancillary services to the grid. The work presented in this dissertation addresses these needs. Specifically, new algorithms are proposed, which allow control synthesis in settings wherein the precise distribution of the uncertainty and its temporal statistics are not known. These algorithms are based on recent developments in Markov decision theory, approximate dynamic programming and reinforcement learning. They impose minimal assumptions on the system model and allow the control to be "learned" based on the actual dynamics of the system. Furthermore, they can accommodate complex constraints such as capacity and ramping limits on generation resources, state-of-charge constraints on storage resources, comfort-related limitations on demand response resources and power flow limits on transmission lines. Numerical studies demonstrating applications of these algorithms to practical control problems in power systems are discussed. Results demonstrate how the proposed control algorithms can be used to improve the performance and reduce the computational complexity of the economic dispatch mechanism in a power network. We argue that the proposed algorithms are eminently suitable to develop operational decision-making tools for large power grids with many resources and many sources of uncertainty.

  10. DELIVERing Library Resources to the Virtual Learning Environment

    Science.gov (United States)

    Secker, Jane

    2005-01-01

    Purpose: Examines a project to integrate digital libraries and virtual learning environments (VLE) focusing on requirements for online reading list systems. Design/methodology/approach: Conducted a user needs analysis using interviews and focus groups and evaluated three reading or resource list management systems. Findings: Provides a technical…

  11. Human resource recommendation algorithm based on ensemble learning and Spark

    Science.gov (United States)

    Cong, Zihan; Zhang, Xingming; Wang, Haoxiang; Xu, Hongjie

    2017-08-01

    Aiming at the problem of “information overload” in the human resources industry, this paper proposes a human resource recommendation algorithm based on Ensemble Learning. The algorithm considers the characteristics and behaviours of both job seeker and job features in the real business circumstance. Firstly, the algorithm uses two ensemble learning methods-Bagging and Boosting. The outputs from both learning methods are then merged to form user interest model. Based on user interest model, job recommendation can be extracted for users. The algorithm is implemented as a parallelized recommendation system on Spark. A set of experiments have been done and analysed. The proposed algorithm achieves significant improvement in accuracy, recall rate and coverage, compared with recommendation algorithms such as UserCF and ItemCF.

  12. Resource Letter ALIP-1: Active-Learning Instruction in Physics

    Science.gov (United States)

    Meltzer, David E.; Thornton, Ronald K.

    2012-06-01

    This Resource Letter provides a guide to the literature on research-based active-learning instruction in physics. These are instructional methods that are based on, assessed by, and validated through research on the teaching and learning of physics. They involve students in their own learning more deeply and more intensely than does traditional instruction, particularly during class time. The instructional methods and supporting body of research reviewed here offer potential for significantly improved learning in comparison to traditional lecture-based methods of college and university physics instruction. We begin with an introduction to the history of active learning in physics in the United States, and then discuss some methods for and outcomes of assessing pedagogical effectiveness. We enumerate and describe common characteristics of successful active-learning instructional strategies in physics. We then discuss a range of methods for introducing active-learning instruction in physics and provide references to those methods for which there is published documentation of student learning gains.

  13. Adoption of Technology and Augmentation of Resources for Teaching-Learning in Higher Education

    OpenAIRE

    P. M. Suresh Kumar

    2017-01-01

    Learner centred education through appropriate methodologies facilitates effective learning as teaching-learning modalities of higher education are considered to be relevant to the learner group. Curriculum delivery and pedagogy should incorporate multitude of learning experiences and innovative learning methodologies through adoption of technology. Plenty of resources external to the curriculum come into use, which offer valuable learning experiences. Augmentation of resources for teaching...

  14. Learning with Nature and Learning from Others: Nature as Setting and Resource for Early Childhood Education

    Science.gov (United States)

    MacQuarrie, Sarah; Nugent, Clare; Warden, Claire

    2015-01-01

    Nature-based learning is an increasingly popular type of early childhood education. Despite this, children's experiences--in particular, their form and function within different settings and how they are viewed by practitioners--are relatively unknown. Accordingly, the use of nature as a setting and a resource for learning was researched. A…

  15. Learning with nature and learning from others: nature as setting and resource for early childhood education

    OpenAIRE

    MacQuarrie, Sarah; Nugent, Clare; Warden, Claire

    2015-01-01

    Nature-based learning is an increasingly popular type of early childhood education. Despite this, children's experiences-in particular, their form and function within different settings and how they are viewed by practitioners-are relatively unknown. Accordingly, the use of nature as a setting and a resource for learning was researched. A description and an emerging understanding of nature-based learning were obtained through the use of a group discussion and case studies. Practitioners' view...

  16. Learning and Celebrating: The Glamour of Design Lecture Series

    Science.gov (United States)

    Popov, Lubomir

    2013-01-01

    The purpose of this paper is to highlight the celebratory aspect of the Design Lecture Series, a tradition in architecture schools and interior design programs, its meaning for all constituent parties, and its contributions to creating professional identity and community. The Design Lecture Series is a public event popular in design programs,…

  17. Time series forecasting based on deep extreme learning machine

    NARCIS (Netherlands)

    Guo, Xuqi; Pang, Y.; Yan, Gaowei; Qiao, Tiezhu; Yang, Guang-Hong; Yang, Dan

    2017-01-01

    Multi-layer Artificial Neural Networks (ANN) has caught widespread attention as a new method for time series forecasting due to the ability of approximating any nonlinear function. In this paper, a new local time series prediction model is established with the nearest neighbor domain theory, in

  18. Ripe for Change: Garden-Based Learning in Schools. Harvard Education Letter Impact Series

    Science.gov (United States)

    Hirschi, Jane S.

    2015-01-01

    "Ripe for Change: Garden-Based Learning in Schools" takes a big-picture view of the school garden movement and the state of garden-based learning in public K--8 education. The book frames the garden movement for educators and shows how school gardens have the potential to be a significant resource for teaching and learning. In this…

  19. Managing human resources in the nuclear power industry: Lessons learned

    International Nuclear Information System (INIS)

    2003-08-01

    This report is intended for senior and middle level managers in nuclear operating organizations. Its objectives are to facilitate the recognition of priority issues with respect to managing human resources, and to provide pragmatic ideas regarding improvements. The human resource issues addressed in this report, if not managed effectively, can result in significant performance problems at nuclear power plants. About 10 years ago the IAEA initiated an effort to identify such management issues and to find effective practices to deal with them. This information was provided in IAEA Technical Reports Series No. 369, Management for Excellence in Nuclear Power Plant Performance - A Manual (1994). This report builds upon the information in the subject manual. In the past 10 years there have been significant changes in the nuclear power industry resulting primarily from more competitive energy markets and privatization of nuclear power plant operating organizations. In general, the industry has responded positively to these changes, as indicated by IAEA/WANO performance indicators that show both improved operational and safety performance. This report provides examples of approaches to managing human resources that have been effective in responding to these changes. This report was produced through a series of meetings, where meeting participants were asked to share information regarding effective practices in their organizations with respect to managing human resources. The information provided through these meetings was supplemented with good practices in this area identified through IAEA Operational Safety Review Teams (OSARTs) conducted during the past 10 years

  20. Transportation life cycle assessment (LCA) synthesis : life cycle assessment learning module series.

    Science.gov (United States)

    2015-03-12

    The Life Cycle Assessment Learning Module Series is a set of narrated, self-advancing slideshows on : various topics related to environmental life cycle assessment (LCA). This research project produced the first 27 of such modules, which : are freely...

  1. Adaptation of mathematical educational content in e-learning resources

    Directory of Open Access Journals (Sweden)

    Yuliya V. Vainshtein

    2017-01-01

    Full Text Available Modern trends in the world electronic educational system development determine the necessity of adaptive learning intellectual environments and resources’ development and implementation. An upcoming trend in improvement the quality of studying mathematical disciplines is the development and application of adaptive electronic educational resources. However, the development and application experience of adaptive technologies in higher education is currently extremely limited and does not imply the usage flexibility. Adaptive educational resources in the electronic environment are electronic educational resources that provide the student with a personal educational space, filled with educational content that “adapts” to the individual characteristics of the students and provides them with the necessary information.This article focuses on the mathematical educational content adaptation algorithms development and their implementation in the e-learning system. The peculiarity of the proposed algorithms is the possibility of their application and distribution for adaptive e-learning resources construction. The novelty of the proposed approach is the three-step content organization of the adaptive algorithms for the educational content: “introductory adaptation of content”, “the current adaptation of content”, “estimative and a corrective adaptation”. For each stage of the proposed system, mathematical algorithms for educational content adaptation in adaptive e-learning resources are presented.Due to the high level of abstraction and complexity perception of mathematical disciplines, educational content is represented in the various editions of presentation that correspond to the levels of assimilation of the course material. Adaptation consists in the selection of the optimal edition of the material that best matches the individual characteristics of the student. The introduction of a three-step content organization of the adaptive

  2. The "Tse Tsa Watle" Speaker Series: An Example of Ensemble Leadership and Generative Adult Learning

    Science.gov (United States)

    McKendry, Virginia

    2017-01-01

    This chapter examines an Indigenous speaker series formed to foster intercultural partnerships at a Canadian university. Using ensemble leadership and generative learning theories to make sense of the project, the author argues that ensemble leadership is key to designing the generative learning adult learners need in an era of ambiguity.

  3. Reasoning with Paper and Pencil: The Role of Inscriptions in Student Learning of Geometric Series

    Science.gov (United States)

    Carlsen, Martin

    2009-01-01

    The purpose of this article is to analyse how students use inscriptions as tools for thinking and learning in mathematical problem-solving activities. The empirical context is that of learning about geometric series in a small group setting. What has been analysed is how students made use of inscriptions, self-made as well as those provided by…

  4. Cluster analysis of activity-time series in motor learning

    DEFF Research Database (Denmark)

    Balslev, Daniela; Nielsen, Finn Årup; Frutiger, Sally A.

    2002-01-01

    Neuroimaging studies of learning focus on brain areas where the activity changes as a function of time. To circumvent the difficult problem of model selection, we used a data-driven analytic tool, cluster analysis, which extracts representative temporal and spatial patterns from the voxel...... practice-related activity in a fronto-parieto-cerebellar network, in agreement with previous studies of motor learning. These voxels were separated from a group of voxels showing an unspecific time-effect and another group of voxels, whose activation was an artifact from smoothing. Hum. Brain Mapping 15...

  5. Learning on human resources management in the radiology residency program

    Energy Technology Data Exchange (ETDEWEB)

    Oliveira, Aparecido Ferreira de; Lederman, Henrique Manoel; Batista, Nildo Alves, E-mail: aparecidoliveira@ig.com.br [Universidade Federal de Sao Paulo (EPM/UNIFESP), Sao Paulo, SP (Brazil). Escola Paulista de Medicina

    2014-03-15

    Objective: to investigate the process of learning on human resource management in the radiology residency program at Escola Paulista de Medicina - Universidade Federal de Sao Paulo, aiming at improving radiologists' education. Materials and methods: exploratory study with a quantitative and qualitative approach developed with the faculty staff, preceptors and residents of the program, utilizing a Likert questionnaire (46), taped interviews (18), and categorization based on thematic analysis. Results: According to 71% of the participants, residents have clarity about their role in the development of their activities, and 48% said that residents have no opportunity to learn how to manage their work in a multidisciplinary team. Conclusion: Isolation at medical records room, little interactivity between sectors with diversified and fixed activities, absence of a previous culture and lack of a training program on human resources management may interfere in the development of skills for the residents' practice. There is a need to review objectives of the medical residency in the field of radiology, incorporating, whenever possible, the commitment to the training of skills related to human resources management thus widening the scope of abilities of the future radiologists. (author)

  6. Learning on human resources management in the radiology residency program

    International Nuclear Information System (INIS)

    Oliveira, Aparecido Ferreira de; Lederman, Henrique Manoel; Batista, Nildo Alves

    2014-01-01

    Objective: to investigate the process of learning on human resource management in the radiology residency program at Escola Paulista de Medicina - Universidade Federal de Sao Paulo, aiming at improving radiologists' education. Materials and methods: exploratory study with a quantitative and qualitative approach developed with the faculty staff, preceptors and residents of the program, utilizing a Likert questionnaire (46), taped interviews (18), and categorization based on thematic analysis. Results: According to 71% of the participants, residents have clarity about their role in the development of their activities, and 48% said that residents have no opportunity to learn how to manage their work in a multidisciplinary team. Conclusion: Isolation at medical records room, little interactivity between sectors with diversified and fixed activities, absence of a previous culture and lack of a training program on human resources management may interfere in the development of skills for the residents' practice. There is a need to review objectives of the medical residency in the field of radiology, incorporating, whenever possible, the commitment to the training of skills related to human resources management thus widening the scope of abilities of the future radiologists. (author)

  7. Historical aspects of meetings, publication series, and digital resources dedicated to echinoderms

    Directory of Open Access Journals (Sweden)

    Alexander Ziegler

    2014-03-01

    Full Text Available Half a century after the first scientific meeting dedicated to marine spiny-skinned animals (Deuterostomia: Echinodermata was held in Washington, DC, we take this opportunity to provide information on a number of historical aspects related to the echinoderm scientific community. Apart from shedding light on the historical origins of modern echinoderm conferences, the present contribution presents photographs taken during the first meeting of echinoderm researchers in 1963 as well as during the first installments of the International Echinoderm Conference and the European Conference on Echinoderms. Furthermore, we provide background information on publication series dedicated solely to the Echinodermata as well as descriptions of selected digital resources that focus on echinoderms. Finally, we present a number of echinoderm conference logos and flyers in addition to selected information about specific echinoderm meetings.

  8. Creating, curating, and sharing online faculty development resources: the medical education in cases series experience.

    Science.gov (United States)

    Chan, Teresa M; Thoma, Brent; Lin, Michelle

    2015-06-01

    It is difficult to engage clinicians in continuing medical education that does not focus on clinical expertise. Evolving online technologies (e.g., massive open online courses [MOOCs]) are disrupting and transforming medical education, but few online nonclinical professional development resources exist. In August 2013, the Academic Life in Emergency Medicine Web site launched the Medical Education in Cases (MEdIC) series to engage clinicians in an online professional development exercise. Each month, a complex, realistic scenario featuring a nonclinical medical education dilemma is published with accompanying discussion questions. A weeklong discussion is moderated on Twitter and the Web site. This discussion is curated to create a community commentary, which is published alongside presolicited expert responses. Case resources are available for download. The first six MEdIC cases (published August 2013-January 2014) emphasized different CanMEDS and/or Accreditation Council on Graduate Medical Education competencies. Median reader engagement metrics (interquartile range 25%-75%) in the first week following publication were 861 (634-1,114) pageviews, 767 (518-953) unique visitors from 326 (218-405) cities in 45 (32-50) countries, 30 (24-39) comments, 52 (40-56) tweets, 17 (13-30) Facebook Likes, and 5 (5-7) Google Plus +1s. The MEdIC series is proof of concept that online activities can engage clinicians in nonclinical professional development. The early experience suggests the connectivist nature of MEdIC allows for crowdsourcing solutions to ill-defined problems via the wisdom of readers. This methodology may also be effective for other nonclinical and medical education topics.

  9. Active Learning Techniques Applied to an Interdisciplinary Mineral Resources Course.

    Science.gov (United States)

    Aird, H. M.

    2015-12-01

    An interdisciplinary active learning course was introduced at the University of Puget Sound entitled 'Mineral Resources and the Environment'. Various formative assessment and active learning techniques that have been effective in other courses were adapted and implemented to improve student learning, increase retention and broaden knowledge and understanding of course material. This was an elective course targeted towards upper-level undergraduate geology and environmental majors. The course provided an introduction to the mineral resources industry, discussing geological, environmental, societal and economic aspects, legislation and the processes involved in exploration, extraction, processing, reclamation/remediation and recycling of products. Lectures and associated weekly labs were linked in subject matter; relevant readings from the recent scientific literature were assigned and discussed in the second lecture of the week. Peer-based learning was facilitated through weekly reading assignments with peer-led discussions and through group research projects, in addition to in-class exercises such as debates. Writing and research skills were developed through student groups designing, carrying out and reporting on their own semester-long research projects around the lasting effects of the historical Ruston Smelter on the biology and water systems of Tacoma. The writing of their mini grant proposals and final project reports was carried out in stages to allow for feedback before the deadline. Speakers from industry were invited to share their specialist knowledge as guest lecturers, and students were encouraged to interact with them, with a view to employment opportunities. Formative assessment techniques included jigsaw exercises, gallery walks, placemat surveys, think pair share and take-home point summaries. Summative assessment included discussion leadership, exams, homeworks, group projects, in-class exercises, field trips, and pre-discussion reading exercises

  10. An assessment of student experiences and learning based on a novel undergraduate e-learning resource.

    Science.gov (United States)

    Mehta, S; Clarke, F; Fleming, P S

    2016-08-12

    Purpose/objectives The aims of this study were to describe the development of a novel e-learning resource and to assess its impact on student learning experiences and orthodontic knowledge.Methods Thirty-two 4th year dental undergraduate students at Queen Mary University of London were randomly allocated to receive electronic access to e-learning material covering various undergraduate orthodontic topics over a 6-week period. Thirty-one control students were not given access during the study period. All students were asked to complete electronic quizzes both before (T0) and after (T1) the study period and a general questionnaire concerning familiarity with e-learning. The test group also completed a user satisfaction questionnaire at T1. Two focus groups were also undertaken to explore learners' experiences and suggestions in relation to the resource.Results The mean quiz result improved by 3.9% and 4.5% in the control and test groups, respectively. An independent t-test, however, demonstrated a lack of statistical significance in knowledge gain between control and test groups (P = 0.941). The qualitative feedback indicated that students believed that use of the resource enhanced knowledge and basic understanding with students expressing a wish to ingrain similar resources in other areas of undergraduate teaching.Conclusions Use of the novel orthodontic e-resource by 4th year undergraduate students over a 6-week period did not result in a significant improvement in subject knowledge. However, the e-learning has proven popular among undergraduates and the resources will continue to be refined.

  11. Developing Online Learning Resources: Big Data, Social Networks, and Cloud Computing to Support Pervasive Knowledge

    Science.gov (United States)

    Anshari, Muhammad; Alas, Yabit; Guan, Lim Sei

    2016-01-01

    Utilizing online learning resources (OLR) from multi channels in learning activities promise extended benefits from traditional based learning-centred to a collaborative based learning-centred that emphasises pervasive learning anywhere and anytime. While compiling big data, cloud computing, and semantic web into OLR offer a broader spectrum of…

  12. Optional Anatomy and Physiology e-Learning Resources: Student Access, Learning Approaches, and Academic Outcomes

    Science.gov (United States)

    Guy, Richard,; Byrne, Bruce; Dobos, Marian

    2018-01-01

    Anatomy and physiology interactive video clips were introduced into a blended learning environment, as an optional resource, and were accessed by ~50% of the cohort. Student feedback indicated that clips were engaging, assisted understanding of course content, and provided lecture support. Students could also access two other optional online…

  13. A Video Game for Learning Brain Evolution: A Resource or a Strategy?

    Science.gov (United States)

    Barbosa Gomez, Luisa Fernanda; Bohorquez Sotelo, Maria Cristina; Roja Higuera, Naydu Shirley; Rodriguez Mendoza, Brigitte Julieth

    2016-01-01

    Learning resources are part of the educational process of students. However, how video games act as learning resources in a population that has not selected the virtual formation as their main methodology? The aim of this study was to identify the influence of a video game in the learning process of brain evolution. For this purpose, the opinions…

  14. PBL, Hands-On/ Digital resources in Geology, (Teaching/ Learning)

    Science.gov (United States)

    Soares, Rosa; Santos, Cátia; Carvalho, Sara

    2015-04-01

    The present study reports the elaboration, application and evaluation of a problem-based learning (PBL) program that aims to evaluate the effectiveness in students learning the Rock Cycle theme. Prior research on both PBL and Rock Cycle was conducted within the context of science education so as to elaborate and construct the intervention program. Findings from these studies indicated both the PBL methodology and Rock Cycle as helpful for teachers and students. PBL methodology has been adopted in this study since it is logically incorporated in a constructivism philosophy application and it was expected that this approach would assist students towards achieving a specific set of competencies. PBL is a student-centered method based on the principle of using problems as the starting point for the acquisition of new knowledge. Problems are based on complex real-world situations. All information needed to solve the problem is initially not given. Students will identify, find, and use appropriate resources to complete the exercise. They work permanently in small groups, developing self-directed activities and increasing participation in discussions. Teacher based guidance allows students to be fully engaged in knowledge building. That way, the learning process is active, integrated, cumulative, and connected. Theme "Rock Cycle" was introduced using a problematic situation, which outlined the geological processes highlighted in "Foz do Douro" the next coastline of the school where the study was developed. The questions proposed by the students were solved, using strategies that involved the use of hands-on activities and virtual labs in Geology. The systematization of the selected theme was performed in a field excursion, implemented according to the organizational model of Nir Orion, to The "Foz do Douro" metamorphic complex. In the evaluation of the learning process, data were obtained on students' development of knowledge and competencies through the application of

  15. The gap between medical faculty's perceptions and use of e-learning resources.

    Science.gov (United States)

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

    2017-01-01

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

  16. Exogenous and Endogenous Learning Resources in the Actiotope Model of Giftedness and Its Significance for Gifted Education

    Science.gov (United States)

    Ziegler, Albert; Chandler, Kimberley L.; Vialle, Wilma; Stoeger, Heidrun

    2017-01-01

    Based on the Actiotope Model of Giftedness, this article introduces a learning-resource-oriented approach for gifted education. It provides a comprehensive categorization of learning resources, including five exogenous learning resources termed "educational capital" and five endogenous learning resources termed "learning…

  17. Argumentation in Science Teacher Education: The simulated jury as a resource for teaching and learning

    Science.gov (United States)

    Drumond Vieira, Rodrigo; da Rocha Bernardo, José Roberto; Evagorou, Maria; Florentino de Melo, Viviane

    2015-05-01

    In this article, we focus on the contributions that a simulated jury-based activity might have for pre-service teachers, especially for their active participation and learning in teacher education. We observed a teacher educator using a series of simulated juries as teaching resources to help pre-service teachers develop their pedagogical knowledge and their argumentation abilities in a physics teacher methods course. For the purposes of this article, we have selected one simulated jury-based activity, comprising two opposed groups of pre-service teachers that presented aspects that hinder the teachers' development of professional knowledge (against group) and aspects that allow this development (favor group). After the groups' presentations, a group of judges was formed to evaluate the discussion. We applied a multi-level method for discourse analysis and the results showed that (1) the simulated jury afforded the pre-service teachers to position themselves as active knowledge producers; (2) the teacher acted as 'animator' of the pre-service teachers' actions, showing responsiveness to the emergence of circumstantial teaching and learning opportunities and (3) the simulated jury culminated in the judges' identification of the pattern 'concrete/obstacles-ideological/possibilities' in the groups' responses, which was elaborated by the teacher for the whole class. Implications from this study include using simulated juries for teaching and learning and for the development of the pre-service teachers' argumentative abilities. The potential of simulated juries to improve teaching and learning needs to be further explored in order to inform the uses and reflections of this resource in science education.

  18. Cost-Benefit Analysis of Computer Resources for Machine Learning

    Science.gov (United States)

    Champion, Richard A.

    2007-01-01

    Machine learning describes pattern-recognition algorithms - in this case, probabilistic neural networks (PNNs). These can be computationally intensive, in part because of the nonlinear optimizer, a numerical process that calibrates the PNN by minimizing a sum of squared errors. This report suggests efficiencies that are expressed as cost and benefit. The cost is computer time needed to calibrate the PNN, and the benefit is goodness-of-fit, how well the PNN learns the pattern in the data. There may be a point of diminishing returns where a further expenditure of computer resources does not produce additional benefits. Sampling is suggested as a cost-reduction strategy. One consideration is how many points to select for calibration and another is the geometric distribution of the points. The data points may be nonuniformly distributed across space, so that sampling at some locations provides additional benefit while sampling at other locations does not. A stratified sampling strategy can be designed to select more points in regions where they reduce the calibration error and fewer points in regions where they do not. Goodness-of-fit tests ensure that the sampling does not introduce bias. This approach is illustrated by statistical experiments for computing correlations between measures of roadless area and population density for the San Francisco Bay Area. The alternative to training efficiencies is to rely on high-performance computer systems. These may require specialized programming and algorithms that are optimized for parallel performance.

  19. From Cloister to Commons: Concepts and Models for Service-Learning in Religious Studies. AAHE's Series on Service-Learning in the Disciplines.

    Science.gov (United States)

    Devine, Richard, Ed.; Favazza, Joseph A., Ed.; McLain, F. Michael, Ed.

    This essays in this volume, 19th in a series, discuss why and how service-learning can be implemented in Religious Studies and what that discipline contributes to the pedagogy of service-learning. Part 1, "Service-Learning and the Dilemma of Religious Studies," contains: (1) "Service-Learning and the Dilemma of Religious Studies: Descriptive or…

  20. Use of Online Learning Resources in the Development of Learning Environments at the Intersection of Formal and Informal Learning: The Student as Autonomous Designer

    Science.gov (United States)

    Lebenicnik, Maja; Pitt, Ian; Istenic Starcic, Andreja

    2015-01-01

    Learning resources that are used in the education of university students are often available online. The nature of new technologies causes an interweaving of formal and informal learning, with the result that a more active role is expected from students with regard to the use of ICT for their learning. The variety of online learning resources…

  1. The International News Journal, Inc. Teacher Resource Manual [and] Student Activities. Second Edition. Exploring the Marketplace Series.

    Science.gov (United States)

    Reinke, Robert; McGuire, Margit; Reinke, Diane Wilcox

    This teacher resource manual and student activities economics education unit provides students with the opportunity to use economic content and related skills as they learn about the U.S. economic system and its relationship to the world economy. The lessons link to economic content and other subject areas traditionally taught in grades 5, 6, and…

  2. EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification

    Directory of Open Access Journals (Sweden)

    Ting Wang

    2014-01-01

    Full Text Available Eye state identification is a kind of common time-series classification problem which is also a hot spot in recent research. Electroencephalography (EEG is widely used in eye state classification to detect human's cognition state. Previous research has validated the feasibility of machine learning and statistical approaches for EEG eye state classification. This paper aims to propose a novel approach for EEG eye state identification using incremental attribute learning (IAL based on neural networks. IAL is a novel machine learning strategy which gradually imports and trains features one by one. Previous studies have verified that such an approach is applicable for solving a number of pattern recognition problems. However, in these previous works, little research on IAL focused on its application to time-series problems. Therefore, it is still unknown whether IAL can be employed to cope with time-series problems like EEG eye state classification. Experimental results in this study demonstrates that, with proper feature extraction and feature ordering, IAL can not only efficiently cope with time-series classification problems, but also exhibit better classification performance in terms of classification error rates in comparison with conventional and some other approaches.

  3. Listening to Students: Customer Journey Mapping at Birmingham City University Library and Learning Resources

    Science.gov (United States)

    Andrews, Judith; Eade, Eleanor

    2013-01-01

    Birmingham City University's Library and Learning Resources' strategic aim is to improve student satisfaction. A key element is the achievement of the Customer Excellence Standard. An important component of the standard is the mapping of services to improve quality. Library and Learning Resources has developed a methodology to map these…

  4. Usability Testing of a Multimedia e-Learning Resource for Electrolyte and Acid-Base Disorders

    Science.gov (United States)

    Davids, Mogamat Razeen; Chikte, Usuf; Grimmer-Somers, Karen; Halperin, Mitchell L.

    2014-01-01

    The usability of computer interfaces may have a major influence on learning. Design approaches that optimize usability are commonplace in the software development industry but are seldom used in the development of e-learning resources, especially in medical education. We conducted a usability evaluation of a multimedia resource for teaching…

  5. An investigation of fMRI time series stationarity during motor sequence learning foot tapping tasks.

    Science.gov (United States)

    Muhei-aldin, Othman; VanSwearingen, Jessie; Karim, Helmet; Huppert, Theodore; Sparto, Patrick J; Erickson, Kirk I; Sejdić, Ervin

    2014-04-30

    Understanding complex brain networks using functional magnetic resonance imaging (fMRI) is of great interest to clinical and scientific communities. To utilize advanced analysis methods such as graph theory for these investigations, the stationarity of fMRI time series needs to be understood as it has important implications on the choice of appropriate approaches for the analysis of complex brain networks. In this paper, we investigated the stationarity of fMRI time series acquired from twelve healthy participants while they performed a motor (foot tapping sequence) learning task. Since prior studies have documented that learning is associated with systematic changes in brain activation, a sequence learning task is an optimal paradigm to assess the degree of non-stationarity in fMRI time-series in clinically relevant brain areas. We predicted that brain regions involved in a "learning network" would demonstrate non-stationarity and may violate assumptions associated with some advanced analysis approaches. Six blocks of learning, and six control blocks of a foot tapping sequence were performed in a fixed order. The reverse arrangement test was utilized to investigate the time series stationarity. Our analysis showed some non-stationary signals with a time varying first moment as a major source of non-stationarity. We also demonstrated a decreased number of non-stationarities in the third block as a result of priming and repetition. Most of the current literature does not examine stationarity prior to processing. The implication of our findings is that future investigations analyzing complex brain networks should utilize approaches robust to non-stationarities, as graph-theoretical approaches can be sensitive to non-stationarities present in data. Copyright © 2014 Elsevier B.V. All rights reserved.

  6. Sensitivity analysis of machine-learning models of hydrologic time series

    Science.gov (United States)

    O'Reilly, A. M.

    2017-12-01

    Sensitivity analysis traditionally has been applied to assessing model response to perturbations in model parameters, where the parameters are those model input variables adjusted during calibration. Unlike physics-based models where parameters represent real phenomena, the equivalent of parameters for machine-learning models are simply mathematical "knobs" that are automatically adjusted during training/testing/verification procedures. Thus the challenge of extracting knowledge of hydrologic system functionality from machine-learning models lies in their very nature, leading to the label "black box." Sensitivity analysis of the forcing-response behavior of machine-learning models, however, can provide understanding of how the physical phenomena represented by model inputs affect the physical phenomena represented by model outputs.As part of a previous study, hybrid spectral-decomposition artificial neural network (ANN) models were developed to simulate the observed behavior of hydrologic response contained in multidecadal datasets of lake water level, groundwater level, and spring flow. Model inputs used moving window averages (MWA) to represent various frequencies and frequency-band components of time series of rainfall and groundwater use. Using these forcing time series, the MWA-ANN models were trained to predict time series of lake water level, groundwater level, and spring flow at 51 sites in central Florida, USA. A time series of sensitivities for each MWA-ANN model was produced by perturbing forcing time-series and computing the change in response time-series per unit change in perturbation. Variations in forcing-response sensitivities are evident between types (lake, groundwater level, or spring), spatially (among sites of the same type), and temporally. Two generally common characteristics among sites are more uniform sensitivities to rainfall over time and notable increases in sensitivities to groundwater usage during significant drought periods.

  7. Developing resources to facilitate culturally-sensitive service planning and delivery - doing research inclusively with people with learning disabilities.

    Science.gov (United States)

    Unwin, Gemma; Larkin, Michael; Rose, John; Kroese, Biza Stenfert; Malcolm, Stephen

    2016-01-01

    were conducted to explore participants' cultural identities, their understanding and experience of 'support'. The views and experiences expressed in the ASC-LD study were used in the 'Tools for Talking project' to develop a suite of resources designed to facilitate culturally-sensitive communication and information-sharing, service planning and delivery through improved mutual understanding between providers and users of services. This paper describes the Tools for Talking project which sought to co-develop the resources through a partnership event. Methods An inclusive approach was adopted to address issues that are important to people with learning disabilities, to represent their views and experiences, and to involve Black, Asian and minority ethnic people with learning disabilities in the research process. Partnerships were developed with provider organisations and service users who were invited to a 'Partnership Event'. Collaborators at the partnership event were asked to comment on and evaluate draft resources which included a series of videos and activities to explore topics that emerged as important in the ASC-LD study. Their comments were collated and the tools developed as they suggested. Results Using the results from the ASC-LD study helped to ensure that the draft resources were relevant to service users, addressing topics that were important to them. The partnership event was an effective method to collaborate with a relatively large number of stakeholders. However, the event was resource intensive and required substantial planning to ensure active and meaningful participation. Considerations, such as inviting stakeholders, developing the programme and selecting a venue are discussed. Conclusions The partnership approach has led to the development of a set of five illustrative videos and accompanying activities that address issues that emerged from the collaborative process including: culture, activities, support from staff, important people, choices and

  8. Big Data X-Learning Resources Integration and Processing in Cloud Environments

    Directory of Open Access Journals (Sweden)

    Kong Xiangsheng

    2014-09-01

    Full Text Available The cloud computing platform has good flexibility characteristics, more and more learning systems are migrated to the cloud platform. Firstly, this paper describes different types of educational environments and the data they provide. Then, it proposes a kind of heterogeneous learning resources mining, integration and processing architecture. In order to integrate and process the different types of learning resources in different educational environments, this paper specifically proposes a novel solution and massive storage integration algorithm and conversion algorithm to the heterogeneous learning resources storage and management cloud environments.

  9. Collaborative Learning: Cognitive and Computational Approaches. Advances in Learning and Instruction Series.

    Science.gov (United States)

    Dillenbourg, Pierre, Ed.

    Intended to illustrate the benefits of collaboration between scientists from psychology and computer science, namely machine learning, this book contains the following chapters, most of which are co-authored by scholars from both sides: (1) "Introduction: What Do You Mean by 'Collaborative Learning'?" (Pierre Dillenbourg); (2)…

  10. The Digital Learning Imperative: How Technology and Teaching Meet Today's Education Challenges. Digital Learning Series

    Science.gov (United States)

    Schwartzbeck, Terri Duggan; Wolf, Mary Ann

    2012-01-01

    This report outlines how digital learning can connect middle and high school students with better teaching and learning experiences while also addressing three major challenges facing the nation's education system--access to good teaching, tight budgets, and boosting student achievement. But simply slapping a netbook on top of a textbook will not…

  11. A Resource-Oriented Functional Approach to English Language Learning

    Science.gov (United States)

    Li, Jia

    2018-01-01

    This article reports on a case study that investigates the learning preferences and strategies of Chinese students learning English as a second language (ESL) in Canadian school settings. It focuses on the interaction between second language (L2) learning methods that the students have adopted from their previous learning experience in China and…

  12. Deforestation: Can We Balance Resource Conservation with Economic Growth? Global Environmental Change Series.

    Science.gov (United States)

    Environmental Protection Agency, Washington, DC.

    This book is the second installment in the Global Environmental Change Series that links the ecology and biology of global environmental changes with insights and information from other disciplines. This series teaches students how to gather a wide range of information from pertinent areas of study and encourages them to develop their own opinions…

  13. Integrating gender into natural resources management projects: USAID lessons learned.

    Science.gov (United States)

    1998-01-01

    This article discusses USAID's lessons learned about integrating gender into natural resource management (NRM) projects in Peru, the Philippines, and Kenya. In Peru, USAID integrated women into a solid waste management project by lending money to invest in trash collection supplies. The loans allowed women to collect household waste, transfer it to a landfill, and provide additional sanitary disposal. The women were paid through direct fees from households and through service contracts with municipalities. In Mindanao, the Philippines, women were taught about the health impact of clean water and how to monitor water quality, including the monitoring of E. coli bacteria. Both men and women were taught soil conservation techniques for reducing the amount of silt running into the lake, which interferes with the generation of electricity and affects the health of everyone. The education helped women realize the importance of reducing silt and capitalized on their interest in protecting the health of their families. The women were thus willing to monitor the lake's water quality to determine if the conservation efforts were effective. In Kenya, USAID evaluated its Ecology, Community Organization, and Gender project in the Rift Valley, which helped resettle a landless community and helped with sustainable NRM. The evaluation revealed that women's relative bargaining power was less than men's. Organized capacity building that strengthened women's networks and improved their capacity to push issues onto the community agenda assured women a voice in setting the local NRM agenda.

  14. Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation

    OpenAIRE

    Chen, Tianyi; Ling, Qing; Giannakis, Georgios B.

    2017-01-01

    Network resource allocation shows revived popularity in the era of data deluge and information explosion. Existing stochastic optimization approaches fall short in attaining a desirable cost-delay tradeoff. Recognizing the central role of Lagrange multipliers in network resource allocation, a novel learn-and-adapt stochastic dual gradient (LA-SDG) method is developed in this paper to learn the sample-optimal Lagrange multiplier from historical data, and accordingly adapt the upcoming resource...

  15. Facilitating Teachers' Reuse of Mobile Assisted Language Learning Resources Using Educational Metadata

    Science.gov (United States)

    Zervas, Panagiotis; Sampson, Demetrios G.

    2014-01-01

    Mobile assisted language learning (MALL) and open access repositories for language learning resources are both topics that have attracted the interest of researchers and practitioners in technology enhanced learning (TeL). Yet, there is limited experimental evidence about possible factors that can influence and potentially enhance reuse of MALL…

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

    Science.gov (United States)

    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…

  17. Machine learning methods as a tool to analyse incomplete or irregularly sampled radon time series data.

    Science.gov (United States)

    Janik, M; Bossew, P; Kurihara, O

    2018-07-15

    Machine learning is a class of statistical techniques which has proven to be a powerful tool for modelling the behaviour of complex systems, in which response quantities depend on assumed controls or predictors in a complicated way. In this paper, as our first purpose, we propose the application of machine learning to reconstruct incomplete or irregularly sampled data of time series indoor radon ( 222 Rn). The physical assumption underlying the modelling is that Rn concentration in the air is controlled by environmental variables such as air temperature and pressure. The algorithms "learn" from complete sections of multivariate series, derive a dependence model and apply it to sections where the controls are available, but not the response (Rn), and in this way complete the Rn series. Three machine learning techniques are applied in this study, namely random forest, its extension called the gradient boosting machine and deep learning. For a comparison, we apply the classical multiple regression in a generalized linear model version. Performance of the models is evaluated through different metrics. The performance of the gradient boosting machine is found to be superior to that of the other techniques. By applying learning machines, we show, as our second purpose, that missing data or periods of Rn series data can be reconstructed and resampled on a regular grid reasonably, if data of appropriate physical controls are available. The techniques also identify to which degree the assumed controls contribute to imputing missing Rn values. Our third purpose, though no less important from the viewpoint of physics, is identifying to which degree physical, in this case environmental variables, are relevant as Rn predictors, or in other words, which predictors explain most of the temporal variability of Rn. We show that variables which contribute most to the Rn series reconstruction, are temperature, relative humidity and day of the year. The first two are physical

  18. Time series classification using k-Nearest neighbours, Multilayer Perceptron and Learning Vector Quantization algorithms

    Directory of Open Access Journals (Sweden)

    Jiří Fejfar

    2012-01-01

    Full Text Available We are presenting results comparison of three artificial intelligence algorithms in a classification of time series derived from musical excerpts in this paper. Algorithms were chosen to represent different principles of classification – statistic approach, neural networks and competitive learning. The first algorithm is a classical k-Nearest neighbours algorithm, the second algorithm is Multilayer Perceptron (MPL, an example of artificial neural network and the third one is a Learning Vector Quantization (LVQ algorithm representing supervised counterpart to unsupervised Self Organizing Map (SOM.After our own former experiments with unlabelled data we moved forward to the data labels utilization, which generally led to a better accuracy of classification results. As we need huge data set of labelled time series (a priori knowledge of correct class which each time series instance belongs to, we used, with a good experience in former studies, musical excerpts as a source of real-world time series. We are using standard deviation of the sound signal as a descriptor of a musical excerpts volume level.We are describing principle of each algorithm as well as its implementation briefly, giving links for further research. Classification results of each algorithm are presented in a confusion matrix showing numbers of misclassifications and allowing to evaluate overall accuracy of the algorithm. Results are compared and particular misclassifications are discussed for each algorithm. Finally the best solution is chosen and further research goals are given.

  19. Using machine learning to identify structural breaks in single-group interrupted time series designs.

    Science.gov (United States)

    Linden, Ariel; Yarnold, Paul R

    2016-12-01

    Single-group interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single unit of observation is being studied, the outcome variable is serially ordered as a time series and the intervention is expected to 'interrupt' the level and/or trend of the time series, subsequent to its introduction. Given that the internal validity of the design rests on the premise that the interruption in the time series is associated with the introduction of the treatment, treatment effects may seem less plausible if a parallel trend already exists in the time series prior to the actual intervention. Thus, sensitivity analyses should focus on detecting structural breaks in the time series before the intervention. In this paper, we introduce a machine-learning algorithm called optimal discriminant analysis (ODA) as an approach to determine if structural breaks can be identified in years prior to the initiation of the intervention, using data from California's 1988 voter-initiated Proposition 99 to reduce smoking rates. The ODA analysis indicates that numerous structural breaks occurred prior to the actual initiation of Proposition 99 in 1989, including perfect structural breaks in 1983 and 1985, thereby casting doubt on the validity of treatment effects estimated for the actual intervention when using a single-group ITSA design. Given the widespread use of ITSA for evaluating observational data and the increasing use of machine-learning techniques in traditional research, we recommend that structural break sensitivity analysis is routinely incorporated in all research using the single-group ITSA design. © 2016 John Wiley & Sons, Ltd.

  20. Blending Learning: The Evolution of Online and Face-to-Face Education from 2008-2015. Promising Practices in Blended and Online Learning Series

    Science.gov (United States)

    Powell, Allison; Watson, John; Staley, Patrick; Patrick, Susan; Horn, Michael; Fetzer, Leslie; Hibbard, Laura; Oglesby, Jonathan; Verma, Sue

    2015-01-01

    In 2008, the International Association for K-12 Online Learning (iNACOL) produced a series of papers documenting promising practices identified throughout the field of K-12 online learning. Since then, we have witnessed a tremendous acceleration of transformative policy and practice driving personalized learning in the K-12 education space. State,…

  1. Blended learning in dentistry: 3-D resources for inquiry-based learning

    Directory of Open Access Journals (Sweden)

    Susan Bridges

    2012-06-01

    Full Text Available Motivation is an important factor for inquiry-based learning, so creative design of learning resources and materials is critical to enhance students’ motivation and hence their cognition. Modern dentistry is moving towards “electronic patient records” for both clinical treatment and teaching. Study models have long been an essential part of dental records. Traditional plaster casts are, however, among the last type of clinical record in the dental field to be converted into digital media as virtual models. Advantages of virtual models include: simpler storage; reduced risk of damage, disappearance, or misplacement; simpler and effective measuring; and easy transferal to colleagues. In order to support student engagement with the rapidly changing world of digital dentistry, and in order to stimulate the students’ motivation and depth of inquiry, this project aims to introduce virtual models into a Bachelor and Dental Surgery (BDS curriculum. Under a “blended” e-learning philosophy, students are first introduced to the new software then 3-D models are incorporated into inquiry-based problems as stimulus materials. Face-to-face tutorials blend virtual model access via interactive whiteboards (IWBs. Students’ perceptions of virtual models including motivation and cognition as well as the virtual models’ functionality were rated after a workshop introducing virtual models and plaster models in parallel. Initial student feedback indicates that the 3-D models have been generally well accepted, which confirmed the functionality of the programme and the positive perception of virtual models for enhancing students’ learning motivation. Further investigation will be carried out to assess the impact of virtual models on students’ learning outcomes.

  2. Creating a Framework of a Resource-Based E-Learning Environment for Science Learning in Primary Classrooms

    Science.gov (United States)

    So, Winnie W. M.

    2012-01-01

    Advancements in information and communications technology and the rapid expansion of the Internet have changed the nature and the mode of the presentation and delivery of teaching and learning resources. This paper discusses the results of a study aimed at investigating how five teachers planned to integrate online resources in their teaching of…

  3. SERI Solar Radiation Resource Assessment Project: Fiscal Year 1990 Annual Progress Report

    Energy Technology Data Exchange (ETDEWEB)

    Riordan, C; Maxwell, E; Stoffel, T; Rymes, M; Wilcox, S

    1991-07-01

    The purpose of the Solar Radiation Resource Project is to help meet the needs of the public, government, industry, and utilities for solar radiation data, models, and assessments as required to develop, design, deploy, and operate solar energy conversion systems. The project scientists produce information on the spatial (geographic), temporal (hourly, daily, and seasonal), and spectral (wavelength distribution) variability of solar radiation at different locations in the United States. Resources committed to the project in FY 1990 supported about four staff members, including part-time administrative support. With these resources, the staff must concentrate on solar radiation resource assessment in the United States; funds do not allow for significant efforts to respond to a common need for improved worldwide data. 34 refs., 21 figs., 6 tabs.

  4. Development of Human Resources Using New Technologies in Long-Life Learning

    Directory of Open Access Journals (Sweden)

    Micu Bogdan Ghilic

    2011-01-01

    Full Text Available Information and communication technologies (ICT offer new opportunities to reinvent the education and to make people and makes learning more fun and contemporary but poses many problems to educational institutions. Implementation of ICT determines major structural changes in the organizations and mental switch from bureaucratic mentality to customer-oriented one. In this paper I try to evaluate methods of developing the lifelong learning programs, impact to human resources training and development and the impact of this process on educational institutions. E-learning usage in training the human resources can make a new step in development of the education institutions, human resources and companies.

  5. MetEd Learning Resources from COMET: Assisting With User Readiness for the JPSS Era

    Science.gov (United States)

    Bol, A.; Page, E. M.; Dills, P. N.; Lee, T.; Weingroff, M.; Stevermer, A.

    2017-12-01

    The COMET® Program (www.comet.ucar.edu) is funded by NOAA NESDIS as well as EUMETSAT and the Meteorological Service of Canada to develop and deliver education and training in satellite meteorology. COMET's self-paced online training resources are freely available 24/7/365 via the MetEd Website (meted.ucar.edu) to help learners stay current regarding new instruments, capabilities, products and applications. Experts from NOAA-NESDIS and its Cooperative Institutes, the Meteorological Service of Canada, EUMETSAT, the Naval Research Laboratory and others, work with COMET staff to create lessons that encourage greater use of current and future satellite observations and products. As of fall 2017, over 90 satellite-focused, interactive lessons are available in English via the MetEd Web site at http://meted.ucar.edu/topics/satellite. Many of these lessons are also available in Spanish and French, with some Portuguese offerings also available, making learning resources more accessible to a larger international audience. This presentation will focus on COMET's satellite training offerings that are directly applicable to helping users learn more about the capabilities of the S-NPP and JPSS satellite series just in time for JPSS-1 becoming operational. MetEd's educational offerings include lessons on the VIIRS imager and its applications, and a recently updated lesson on nighttime visible observation using the VIIRS Day-Night Band. We'll show how the lessons introduce users to the advances these systems bring to forecasting, numerical weather prediction, and environmental monitoring. We'll also highlight newly developed lessons covering various aspects of JPSS for National Weather Service forecasters, and discuss current and future work.

  6. Can e-learning help you to connect compassionately? Commentary on a palliative care e-learning resource for India.

    Science.gov (United States)

    Datta, Soumitra Shankar; Agrawal, Sanjit

    2017-01-01

    e-learning resources need to be customised to the audience and learners to make them culturally relevant. The ' Palliative care e-learning resource for health care professionals in India' has been developed by the Karunashraya Hospice, Bengaluru in collaboration with the Cardiff Palliative Care Education Team, Wales to address the training needs of professionals in India. The resource, comprising over 20 modules, integrates psychological, social and medical care for patients requiring palliative care for cancer and other diseases. With increased internet usage, it would help in training a large number of professionals and volunteers in India who want to work in the field of palliative care.

  7. An International Survey of Veterinary Students to Assess Their Use of Online Learning Resources.

    Science.gov (United States)

    Gledhill, Laura; Dale, Vicki H M; Powney, Sonya; Gaitskell-Phillips, Gemma H L; Short, Nick R M

    Today's veterinary students have access to a wide range of online resources that support self-directed learning. To develop a benchmark of current global student practice in e-learning, this study measured self-reported access to, and use of, these resources by students internationally. An online survey was designed and promoted via veterinary student mailing lists and international organizations, resulting in 1,070 responses. Analysis of survey data indicated that students now use online resources in a wide range of ways to support their learning. Students reported that access to online veterinary learning resources was now integral to their studies. Almost all students reported using open educational resources (OERs). Ownership of smartphones was widespread, and the majority of respondents agreed that the use of mobile devices, or m-learning, was essential. Social media were highlighted as important for collaborating with peers and sharing knowledge. Constraints to e-learning principally related to poor or absent Internet access and limited institutional provision of computer facilities. There was significant geographical variation, with students from less developed countries disadvantaged by limited access to technology and networks. In conclusion, the survey provides an international benchmark on the range and diversity in terms of access to, and use of, online learning resources by veterinary students globally. It also highlights the inequalities of access among students in different parts of the world.

  8. Impact of e-resources on learning in biochemistry: first-year medical students’ perceptions

    Science.gov (United States)

    2012-01-01

    Background E-learning resources (e-resources) have been widely used to facilitate self-directed learning among medical students. The Department of Biochemistry at Christian Medical College (CMC), Vellore, India, has made available e-resources to first-year medical students to supplement conventional lecture-based teaching in the subject. This study was designed to assess students’ perceptions of the impact of these e-resources on various aspects of their learning in biochemistry. Methods Sixty first-year medical students were the subjects of this study. At the end of the one-year course in biochemistry, the students were administered a questionnaire that asked them to assess the impact of the e-resources on various aspects of their learning in biochemistry. Results Ninety-eight percent of students had used the e-resources provided to varying extents. Most of them found the e-resources provided useful and of a high quality. The majority of them used these resources to prepare for periodic formative and final summative assessments in the course. The use of these resources increased steadily as the academic year progressed. Students said that the extent to which they understood the subject (83%) and their ability to answer questions in assessments (86%) had improved as a result of using these resources. They also said that they found biochemistry interesting (73%) and felt motivated to study the subject (59%). Conclusions We found that first-year medical students extensively used the e-resources in biochemistry that were provided. They perceived that these resources had made a positive impact on various aspects of their learning in biochemistry. We conclude that e-resources are a useful supplement to conventional lecture-based teaching in the medical curriculum. PMID:22510159

  9. Impact of e-resources on learning in biochemistry: first-year medical students' perceptions.

    Science.gov (United States)

    Varghese, Joe; Faith, Minnie; Jacob, Molly

    2012-05-16

    E-learning resources (e-resources) have been widely used to facilitate self-directed learning among medical students. The Department of Biochemistry at Christian Medical College (CMC), Vellore, India, has made available e-resources to first-year medical students to supplement conventional lecture-based teaching in the subject. This study was designed to assess students' perceptions of the impact of these e-resources on various aspects of their learning in biochemistry. Sixty first-year medical students were the subjects of this study. At the end of the one-year course in biochemistry, the students were administered a questionnaire that asked them to assess the impact of the e-resources on various aspects of their learning in biochemistry. Ninety-eight percent of students had used the e-resources provided to varying extents. Most of them found the e-resources provided useful and of a high quality. The majority of them used these resources to prepare for periodic formative and final summative assessments in the course. The use of these resources increased steadily as the academic year progressed. Students said that the extent to which they understood the subject (83%) and their ability to answer questions in assessments (86%) had improved as a result of using these resources. They also said that they found biochemistry interesting (73%) and felt motivated to study the subject (59%). We found that first-year medical students extensively used the e-resources in biochemistry that were provided. They perceived that these resources had made a positive impact on various aspects of their learning in biochemistry. We conclude that e-resources are a useful supplement to conventional lecture-based teaching in the medical curriculum.

  10. Long-term data series relating to Southern Africa's renewable natural resources

    CSIR Research Space (South Africa)

    Macdonald, IAW

    1988-01-01

    Full Text Available agricultural and veterinary data series. The remaining five chapters are of a more synthetic nature and examine the topics of palaeoenvironmental changes, environmental-forcing mechanisms, linkages between ecosyterns, the analysis and storage of long-term data...

  11. An Investigation into Saudi Students' Knowledge of and Attitudes towards E-Resources on BBC Learning English

    Science.gov (United States)

    Alzahrani, Khalid Saleh

    2017-01-01

    The BBC Learning English website has become an important method of learning and studying English as a second language, a resource that enhances the importance of e-learning. The aim of the current research is to find Saudi students' knowledge of and attitude towards e-resources on BBC Learning English. The sample size was 28 participants (17 male…

  12. Measuring learning gain: Comparing anatomy drawing screencasts and paper-based resources.

    Science.gov (United States)

    Pickering, James D

    2017-07-01

    The use of technology-enhanced learning (TEL) resources is now a common tool across a variety of healthcare programs. Despite this popular approach to curriculum delivery there remains a paucity in empirical evidence that quantifies the change in learning gain. The aim of the study was to measure the changes in learning gain observed with anatomy drawing screencasts in comparison to a traditional paper-based resource. Learning gain is a widely used term to describe the tangible changes in learning outcomes that have been achieved after a specific intervention. In regard to this study, a cohort of Year 2 medical students voluntarily participated and were randomly assigned to either a screencast or textbook group to compare changes in learning gain across resource type. Using a pre-test/post-test protocol, and a range of statistical analyses, the learning gain was calculated at three test points: immediate post-test, 1-week post-test and 4-week post-test. Results at all test points revealed a significant increase in learning gain and large effect sizes for the screencast group compared to the textbook group. Possible reasons behind the difference in learning gain are explored by comparing the instructional design of both resources. Strengths and weaknesses of the study design are also considered. This work adds to the growing area of research that supports the effective design of TEL resources which are complimentary to the cognitive theory of multimedia learning to achieve both an effective and efficient learning resource for anatomical education. Anat Sci Educ 10: 307-316. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

  13. Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case

    International Nuclear Information System (INIS)

    Voyant, Cyril; Notton, Gilles; Darras, Christophe; Fouilloy, Alexis; Motte, Fabrice

    2017-01-01

    As global solar radiation forecasting is a very important challenge, several methods are devoted to this goal with different levels of accuracy and confidence. In this study we propose to better understand how the uncertainty is propagated in the context of global radiation time series forecasting using machine learning. Indeed we propose to decompose the error considering four kinds of uncertainties: the error due to the measurement, the variability of time series, the machine learning uncertainty and the error related to the horizon. All these components of the error allow to determinate a global uncertainty generating prediction bands related to the prediction efficiency. We also have defined a reliability index which could be very interesting for the grid manager in order to estimate the validity of predictions. We have experimented this method on a multilayer perceptron which is a popular machine learning technique. We have shown that the global error and its components are essential to quantify in order to estimate the reliability of the model outputs. The described method has been successfully applied to four meteorological stations in Mediterranean area. - Highlights: • Solar irradiation predictions require confidence bands. • There are a lot of kinds of uncertainties to take into account in order to propose prediction bands. • the ranking of different kinds of uncertainties is essential to propose an operational tool for the grid managers.

  14. Criteria and foundations for the implementation of the Learning Resource Centers

    OpenAIRE

    Raquel Zamora Fonseca

    2013-01-01

    Review the criteria and rationale basis for the implementation of research - library and learning resource centers. The analysis focused on the implementation of CRAIs in university libraries and organizational models that can take.

  15. Criteria and foundations for the implementation of the Learning Resource Centers

    Directory of Open Access Journals (Sweden)

    Raquel Zamora Fonseca

    2013-03-01

    Full Text Available Review the criteria and rationale basis for the implementation of research - library and learning resource centers. The analysis focused on the implementation of CRAIs in university libraries and organizational models that can take.

  16. Tags and self-organisation: a metadata ecology for learning resources in a multilingual context

    OpenAIRE

    Vuorikari, Riina Hannuli

    2010-01-01

    Vuorikari, R. (2009). Tags and self-organisation: a metadata ecology for learning resources in a multilingual context. Doctoral thesis. November, 13, 2009, Heerlen, The Netherlands: Open University of the Netherlands, CELSTEC.

  17. Tags and self-organisation: a metadata ecology for learning resources in a multilingual context

    NARCIS (Netherlands)

    Vuorikari, Riina

    2009-01-01

    Vuorikari, R. (2009). Tags and self-organisation: a metadata ecology for learning resources in a multilingual context. Doctoral thesis. November, 13, 2009, Heerlen, The Netherlands: Open University of the Netherlands, CELSTEC.

  18. Using a Metro Map Metaphor for organizing Web-based learning resources

    DEFF Research Database (Denmark)

    Grønbæk, Kaj; Bang, Tove; Hansen, Per Steen

    2002-01-01

    This paper briefly describes the WebNize system and how it applies a Metro Map metaphor for organizing guided tours in Web based resources. Then, experiences in using the Metro Map based tours in a Knowledge Sharing project at the library at Aarhus School of Business (ASB) in Denmark, are discussed...... is to create models for Intelligent Knowledge Solutions that can contribute to form the learning environments of the School in the 21st century. The WebNize system is used for sharing of knowledge through metro maps for specific subject areas made available in the Learning Resource Centre at ASB. The metro....... The Library has been involved in establishing a Learning Resource Center (LRC). The LRC serves as an exploratorium for the development and the testing of new forms of communication and learning, at the same time as it integrates the information resources of the electronic research library. The objective...

  19. Chinese View of Learning and Implications for Developing Human Resources

    Science.gov (United States)

    Yang, Baiyin; Zheng, Wei; Li, Mingfei

    2006-01-01

    Chinese society has a unique view of teaching and learning that has evolved from its long history and is heavily embedded in its social and cultural roots. However, no systematic effort has been made to outline how cultural factors such as values and beliefs influence learning. This paper identifies traditional Chinese values and beliefs in…

  20. Electronic learning and open educational resources in the health ...

    African Journals Online (AJOL)

    All of the UG students viewed the TAH programme; 82% (130) of the KNUST students viewed the PCR animations. All students who viewed the programmes at both institutions indicated that the e-learning pro-grammes were “more effective” in comparison to other methods of learning. Conclusion: Computer ownership or ...

  1. Analyzing Inflation and Its Control: A Resource Guide. Economics-Political Science Series.

    Science.gov (United States)

    Salemi, Michael K.; Leak, Sarah

    Background information for teachers on inflation and self-contained learning activities to help students view inflation from both economic and political perspectives are provided. The introduction contains economics and political science frameworks for analyzing policy issues. How to integrate economics and political science is also discussed.…

  2. Dreaming in the Classroom: Practices, Methods, and Resources in Dream Education. SUNY Series in Dream Studies

    Science.gov (United States)

    King, Philip; Bulkeley, Kelly; Welt, Bernard

    2011-01-01

    "Dreaming in the Classroom" provides teachers from virtually all fields with a uniquely informative guidebook for introducing their students to the universal human phenomenon of dreaming. Although dreaming may not be held in high esteem in mainstream Western society, students at all education levels consistently enjoy learning about…

  3. Alcohol Abuse Curriculum Guide for Nurse Practitioner Faculty. Health Professions Education Curriculum Resources Series. Nursing 3.

    Science.gov (United States)

    Hasselblad, Judith

    The format for this curriculum guide, written for nurse practitioner faculty, consists of learning objectives, content outline, teaching methodology suggestions, references and recommended readings. Part 1 of the guide, Recognition of Early and Chronic Alcoholism, deals with features of alcoholism such as epidemiological data and theories,…

  4. Getting educated: e-learning resources in the design and execution of surgical trials.

    Science.gov (United States)

    Bains, Simrit

    2009-01-01

    An evidence-based approach to research, which includes important aspects such as critical appraisal, is essential for the effective conduct of clinical trials. Researchers who are interested in educating themselves about its principles in order to incorporate them into their trials face challenges when attempting to acquire this information from traditional learning sources. E-learning resources offer an intriguing possibility of overcoming the challenges posed by traditional learning, and show promise as a way to expand accessibility to quality education about evidence-based principles. An assessment of existing e-learning resources reveals positive educational avenues for researchers, although significant flaws exist. The Global EducatorTM by Global Research Solutions addresses many of these flaws and is an e-learning resource that combines convenience with comprehensiveness.

  5. Focus on CSIR research in pollution waste: Resource-directed management of water quality series

    CSIR Research Space (South Africa)

    Claassen, Marius

    2007-08-01

    Full Text Available of the NWA (36:1998), the most important management functions are protection, management and equitable allocation. The fundamental principle guiding the NWA (36:1998) of South Africa is that water is a national resource, owned by the people of South Africa...

  6. Learning about Sex: Resource Guide for Sex Educators. Revised Edition

    Science.gov (United States)

    Huberman, Barbara

    2011-01-01

    Whether you are someone new to the field of sex education, trying to start a library or resource center on adolescent sexual health, or an old pro, this guide should give you a basic orientation to what's available to support your work. These resources are important to advancing positive attitudes toward adolescent sexual health and the author…

  7. The use of public health e-learning resources by pharmacists in Wales: a quantitative evaluation.

    Science.gov (United States)

    Evans, Andrew; Evans, Sian; Roberts, Debra

    2016-08-01

    The aim of this study was to examine how communicable disease e-learning resources were utilised by pharmacy professionals and to identify whether uptake of the resources was influenced by disease outbreaks. Retrospective analysis of routine data regarding the number of individuals completing e-learning resources and statutory notifications of communicable disease. A high proportion of pharmacy professionals in Wales (38.8%, n = 915/2357) accessed the resources; around one in six completed multiple resources (n = 156). The most commonly accessed were those where there had been a disease outbreak during the study period. There was a strong positive correlation between e-learning uptake and number of disease cases; this was observed both for measles and scarlet fever. Communicable disease e-learning appears to be an acceptable method for providing communicable disease information to pharmacy professionals. Study findings suggest that e-learning uptake is positively influenced by disease outbreaks this reflects well both on pharmacy professionals and on the e-learning resources themselves. © 2016 Royal Pharmaceutical Society.

  8. Information extraction from dynamic PS-InSAR time series using machine learning

    Science.gov (United States)

    van de Kerkhof, B.; Pankratius, V.; Chang, L.; van Swol, R.; Hanssen, R. F.

    2017-12-01

    Due to the increasing number of SAR satellites, with shorter repeat intervals and higher resolutions, SAR data volumes are exploding. Time series analyses of SAR data, i.e. Persistent Scatterer (PS) InSAR, enable the deformation monitoring of the built environment at an unprecedented scale, with hundreds of scatterers per km2, updated weekly. Potential hazards, e.g. due to failure of aging infrastructure, can be detected at an early stage. Yet, this requires the operational data processing of billions of measurement points, over hundreds of epochs, updating this data set dynamically as new data come in, and testing whether points (start to) behave in an anomalous way. Moreover, the quality of PS-InSAR measurements is ambiguous and heterogeneous, which will yield false positives and false negatives. Such analyses are numerically challenging. Here we extract relevant information from PS-InSAR time series using machine learning algorithms. We cluster (group together) time series with similar behaviour, even though they may not be spatially close, such that the results can be used for further analysis. First we reduce the dimensionality of the dataset in order to be able to cluster the data, since applying clustering techniques on high dimensional datasets often result in unsatisfying results. Our approach is to apply t-distributed Stochastic Neighbor Embedding (t-SNE), a machine learning algorithm for dimensionality reduction of high-dimensional data to a 2D or 3D map, and cluster this result using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The results show that we are able to detect and cluster time series with similar behaviour, which is the starting point for more extensive analysis into the underlying driving mechanisms. The results of the methods are compared to conventional hypothesis testing as well as a Self-Organising Map (SOM) approach. Hypothesis testing is robust and takes the stochastic nature of the observations into account

  9. Active learning through a debate series in a first-year pharmacy self-care course.

    Science.gov (United States)

    Lampkin, Stacie J; Collins, Christine; Danison, Ryan; Lewis, Michelle

    2015-03-25

    To evaluate the usefulness of formal debates in the pharmacy classroom as a way to learn course material and as a tool for developing competency in essential skills including critical thinking, communication, public speaking, research methods, and teamwork. Debates were incorporated into a self-care course, where students were assigned different debate topics focused on controversial issues. Quantitative analysis was completed to assess debate style learning, knowledge about the subjects presented, and the impact on necessary skills. Quizzes given before and after debates showed up to a 36% improvement in grades and up to a 31% change in opinions on the topic. Students assessed themselves as more competent in the skill sets at the completion of the debate series. Incorporation of debates into didactic style courses offers students an opportunity to improve upon skills that will help them succeed as pharmacists.

  10. Competitive debate classroom as a cooperative learning technique for the human resources subject

    Directory of Open Access Journals (Sweden)

    Guillermo A. SANCHEZ PRIETO

    2018-01-01

    Full Text Available The paper shows an academic debate model as a cooperative learning technique for teaching human resources at University. The general objective of this paper is to conclude if academic debate can be included in the category of cooperative learning. The Specific objective it is presenting a model to implement this technique. Thus the first part of the paper shows the concept of cooperative learning and its main characteristics. The second part presents the debate model believed to be labelled as cooperative learning. Last part concludes with the characteristics of the model that match different aspects or not of the cooperative learning.

  11. Digital Cadavers: Online 2D Learning Resources Enhance Student Learning in Practical Head and Neck Anatomy within Dental Programs

    Directory of Open Access Journals (Sweden)

    Mahmoud M. Bakr

    2016-01-01

    Full Text Available Head and neck anatomy provides core concepts within preclinical dental curricula. Increased student numbers, reduced curricula time, and restricted access to laboratory-based human resources have increased technology enhanced learning approaches to support student learning. Potential advantages include cost-effectiveness, off-campus access, and self-directed review or mastery opportunities for students. This study investigated successful student learning within a first-year head and neck anatomy course at the School of Dentistry and Oral Health, Griffith University, Australia, taught by the same teaching team, between 2010 and 2015. Student learning success was compared, for cohorts before and after implementation of a supplementary, purpose-designed online digital library and quiz bank. Success of these online resources was confirmed using overall students’ performance within the course assessment tasks and Student Evaluation of Course surveys and online access data. Engagement with these supplementary 2D online resources, targeted at improving laboratory study, was positively evaluated by students (mean 85% and significantly increased their laboratory grades (mean difference 6%, P<0.027, despite being assessed using cadaveric resources. Written assessments in final exams were not significantly improved. Expanded use of supplementary online resources is planned to support student learning and success in head and neck anatomy, given the success of this intervention.

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

    Science.gov (United States)

    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…

  13. Social Learning, Natural Resource Management, and Participatory Activities: A reflection on construct development and testing

    NARCIS (Netherlands)

    Rodela, R.

    2014-01-01

    This analysis reflects on the use of multidimensional constructs for the study of social learning in natural resource management. Insight from deliberative democracy and adult learning literature are used to ground the identified four dimensions (the moral dimension the cognitive dimension, the

  14. Enhancing Teaching and Learning Wi-Fi Networking Using Limited Resources to Undergraduates

    Science.gov (United States)

    Sarkar, Nurul I.

    2013-01-01

    Motivating students to learn Wi-Fi (wireless fidelity) wireless networking to undergraduate students is often difficult because many students find the subject rather technical and abstract when presented in traditional lecture format. This paper focuses on the teaching and learning aspects of Wi-Fi networking using limited hardware resources. It…

  15. Social Web Content Enhancement in a Distance Learning Environment: Intelligent Metadata Generation for Resources

    Science.gov (United States)

    García-Floriano, Andrés; Ferreira-Santiago, Angel; Yáñez-Márquez, Cornelio; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Villuendas-Rey, Yenny

    2017-01-01

    Social networking potentially offers improved distance learning environments by enabling the exchange of resources between learners. The existence of properly classified content results in an enhanced distance learning experience in which appropriate materials can be retrieved efficiently; however, for this to happen, metadata needs to be present.…

  16. Learning Agreements and Socially Responsible Approaches to Professional and Human Resource Development in the United Kingdom

    Science.gov (United States)

    Wallis, Emma

    2008-01-01

    This article draws upon original qualitative data to present an initial assessment of the significance of learning agreements for the development of socially responsible approaches to professional and human resource development within the workplace. The article suggests that the adoption of a partnership-based approach to learning is more…

  17. Online Dissection Audio-Visual Resources for Human Anatomy: Undergraduate Medical Students' Usage and Learning Outcomes

    Science.gov (United States)

    Choi-Lundberg, Derek L.; Cuellar, William A.; Williams, Anne-Marie M.

    2016-01-01

    In an attempt to improve undergraduate medical student preparation for and learning from dissection sessions, dissection audio-visual resources (DAVR) were developed. Data from e-learning management systems indicated DAVR were accessed by 28% ± 10 (mean ± SD for nine DAVR across three years) of students prior to the corresponding dissection…

  18. Students’ Use of Knowledge Resources in Environmental Interaction on an Outdoor Learning Trail

    NARCIS (Netherlands)

    Tan, Esther; So, Hyo-Jeong

    2016-01-01

    This study examined how students leveraged different types of knowledge resources on an outdoor learning trail. We positioned the learning trail as an integral part of the curriculum with a pre- and post-trail phase to scaffold and to support students’ meaning-making process. The study was conducted

  19. What Is the Impact of Online Resource Materials on Student Self-Learning Strategies?

    Science.gov (United States)

    Dowell, David John; Small, Felicity A.

    2011-01-01

    The purpose of this article is to examine how students are incorporating online resources into their self-regulated learning strategies. The process of developing these learning strategies and the importance of these strategies has been widely researched, but there has been little empirical research into how the students are affected by online…

  20. Drivers and Effects of Enterprise Resource Planning Post-Implementation Learning

    Science.gov (United States)

    Chang, Hsiu-Hua; Chou, Huey-Wen

    2011-01-01

    The use of enterprise resource planning (ERP) systems has grown enormously since 1990, but the failure to completely learn how to use them continues to produce disappointing results. Today's rapidly changing business environment and the integrative applications of ERP systems force users to continuously learn new skills after ERP implementation.…

  1. OER, Resources for Learning--Experiences from an OER Project in Sweden

    Science.gov (United States)

    Ossiannilsson, Ebba S. I.; Creelman, Alastair M.

    2012-01-01

    This article aims to share experience from a Swedish project on the introduction and implementation of Open Educational Resources (OER) in higher education with both national and international perspectives. The project, "OER--resources for learning", was part of the National Library of Sweden Open Access initiative and aimed at exploring, raising…

  2. Applying the Quadratic Usage Framework to Research on K-12 STEM Digital Learning Resources

    Science.gov (United States)

    Luetkemeyer, Jennifer R.

    2016-01-01

    Numerous policymakers have called for K-12 educators to increase their effectiveness by transforming science, technology, engineering, and mathematics (STEM) learning and teaching with digital resources and tools. In this study we outline the significance of studying pressing issues related to use of digital resources in the K-12 environment and…

  3. Housing Quality and Access to Material and Learning Resources within the Home Environment in Developing Countries

    Science.gov (United States)

    Bradley, Robert H.; Putnick, Diane L.

    2012-01-01

    This study examined home environment conditions (housing quality, material resources, formal and informal learning materials) and their relations with the Human Development Index (HDI) in 28 developing countries. Home environment conditions in these countries varied widely. The quality of housing and availability of material resources at home were…

  4. Fathers and Mothers of Children with Learning Disabilities: Links between Emotional and Coping Resources

    Science.gov (United States)

    Al-Yagon, Michal

    2015-01-01

    This study compared emotional and coping resources of two parent groups with children ages 8 to 12 years--children with learning disabilities (LD) versus with typical development--and explored how mothers' and fathers' emotional resources (low anxious/avoidant attachment, low negative affect, and high positive affect) may explain differences in…

  5. Leadership Learning Opportunities in Agriculture, Food, and Natural Resources Education: The Role of The Teacher

    Science.gov (United States)

    McKim, Aaron J.; Pauley, C. M.; Velez, Jonathan J.; Sorensen, Tyson J.

    2017-01-01

    Learning environments combining agriculture, food, natural resources, and leadership knowledge and skills are increasingly essential in preparing students for future success. School-based agricultural education offers a premier context in which to teach leadership within agriculture, food, and natural resources curriculum. However, providing…

  6. Learned Resourcefulness and the Long-Term Benefits of a Chronic Pain Management Program

    Science.gov (United States)

    Kennett, Deborah J.; O'Hagan, Fergal T.; Cezer, Diego

    2008-01-01

    A concurrent mixed methods approach was used to understand how learned resourcefulness empowers individuals. After completing Rosenbaum's Self-Control Schedule (SCS) measuring resourcefulness, 16 past clients of a multimodal pain clinic were interviewed about the kinds of pain-coping strategies they were practicing from the program. Constant…

  7. Learning about the Human Genome. Part 2: Resources for Science Educators. ERIC Digest.

    Science.gov (United States)

    Haury, David L.

    This ERIC Digest identifies how the human genome project fits into the "National Science Education Standards" and lists Human Genome Project Web sites found on the World Wide Web. It is a resource companion to "Learning about the Human Genome. Part 1: Challenge to Science Educators" (Haury 2001). The Web resources and…

  8. Application of ICT-based Learning Resources for University Inorganic Chemistry Course Training

    Directory of Open Access Journals (Sweden)

    Tatyana M. Derkach

    2013-01-01

    Full Text Available The article studies expediency and efficiency of various ICT-based learning resources use in university inorganic chemistry course training, detects difference of attitudes toward electronic resources between students and faculty members, which create the background for their efficiency loss

  9. Using Linked Data to Annotate and Search Educational Video Resources for Supporting Distance Learning

    Science.gov (United States)

    Yu, Hong Qing; Pedrinaci, C.; Dietze, S.; Domingue, J.

    2012-01-01

    Multimedia educational resources play an important role in education, particularly for distance learning environments. With the rapid growth of the multimedia web, large numbers of educational video resources are increasingly being created by several different organizations. It is crucial to explore, share, reuse, and link these educational…

  10. Dependent Narcissism, Organizational Learning, and Human Resource Development

    Science.gov (United States)

    Godkin, Lynn; Allcorn, Seth

    2009-01-01

    Narcissistic leadership can benefit organizational performance. Aberrant narcissism can destroy the psychosocial health of groups, limiting performance. This article examines Dependent Organizational Disorder, a common form of narcissism, which infects leadership, thwarts performance, and interrupts organizational learning. Dependent…

  11. Earth, Air, Fire, & Water: Resource Guide 6. The Arts and Learning, Interdisciplinary Resources for Education.

    Science.gov (United States)

    Lee, Ronald T., Ed.

    This resource guide is intended to aid practitioners in the design of new curriculum units or the enrichment of existing units by suggesting activities and resources in the topic areas of earth, air, fire, and water. Special projects and trips relating to these topic areas are proposed. A sample arts networking system used to integrate various…

  12. Model of e-learning with electronic educational resources of new generation

    OpenAIRE

    A. V. Loban; D. A. Lovtsov

    2017-01-01

    Purpose of the article: improving of scientific and methodical base of the theory of the е-learning of variability. Methods used: conceptual and logical modeling of the е-learning of variability process with electronic educational resource of new generation and system analysis of the interconnection of the studied subject area, methods, didactics approaches and information and communication technologies means. Results: the formalization complex model of the е-learning of variability with elec...

  13. Mobile Authoring of Open Educational Resources as Reusable Learning Objects

    Directory of Open Access Journals (Sweden)

    Dr Kinshuk

    2013-06-01

    Full Text Available E-learning technologies have allowed authoring and playback of standardized reusable learning objects (RLO for several years. Effective mobile learning requires similar functionality at both design time and runtime. Mobile devices can play RLO using applications like SMILE, mobile access to a learning management system (LMS, or other systems which deploy content to mobile learners (Castillo & Ayala, 2008; Chu, Hwang, & Tseng, 2010; Hsu & Chen, 2010; Nakabayashi, 2009; Zualkernan, Nikkhah, & Al-Sabah, 2009. However, implementations which author content in a mobile context do not typically permit reuse across multiple contexts due to a lack of standardization. Standards based (IMS and SCORM authoring implementations exist for non-mobile platforms (Gonzalez-Barbone & Anido-Rifon, 2008; Griffiths, Beauvoir, Liber, & Barrett-Baxendale, 2009; Téllez, 2010; Yang, Chiu, Tsai, & Wu, 2004. However, this paradigm precludes capturing learning where and when it occurs. Consequently, RLO authored for e-learning lack learner generated content, especially with timely, relevant, and location aware examples.

  14. CASE STUDY: Bhutan — Learning together to share resources in ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2010-12-14

    Dec 14, 2010 ... Shyly at first, because the participatory research methods were as new to them ... linked to other resource systems as well as to socioeconomic factors. .... use and maintenance of the forest by the entire watershed community.

  15. Controller resource management : what can we learn from aircrews?

    Science.gov (United States)

    1995-07-01

    This paper provides an overview of the scientific literature regarding Crew Resource Management (CRM). It responds to tasking from the Office of Air Traffic Program Management to conduct studies addressing the application of team training models such...

  16. Mathematics education and students with learning disabilities: introduction to the special series.

    Science.gov (United States)

    Rivera, D P

    1997-01-01

    influences on the field of mathematics education. Reform efforts have shaped the field significantly since the 1950s, contributing to the curriculum offered in mathematics textbooks and the pedagogical practices taught in higher education courses. Mathematics educators continue to search for a better understanding of how children learn mathematics; this process is shaped by the prevailing theoretical orientations and research methodologies. This special series in mathematics special education provides readers with information about the characteristics of students with mathematics learning disabilities, assessment procedures, mathematics programming, teacher preparation, and future directions for the field. The series originated as a result of discussions with Dr. Lee Wiederholt and Dr. Judith K. Voress, who saw a need for the compilation of recent research and best practices in mathematics special education. I thank them for their support of and thoughtful insights about the development of this series. I also appreciate the support of Dr. George Hynd and his editorial assistant, Kathryn Black, in finalizing the details for publication. Finally, I am most appreciative of the authors' contributions to this series; their work continues to significantly influence the development of the field of mathematics special education and programming for students with mathematics learning disabilities.

  17. Multimedia presentation as a form of E-learning resources in the educational process

    Directory of Open Access Journals (Sweden)

    Bizyaev АА

    2017-06-01

    Full Text Available The article describes the features of the use of multimedia presentations as an electronic learning resource in the educational process, reflecting resource requirements; pedagogical goals that may be achieved. Currently one of the main directions in the educational process is the effective use of teaching computers. Pressing issue implementation of information and communication technologies in education is to develop educational resources with the aim to increase the level and quality of education.

  18. Competition for resources can explain patterns of social and individual learning in nature.

    Science.gov (United States)

    Smolla, Marco; Gilman, R Tucker; Galla, Tobias; Shultz, Susanne

    2015-09-22

    In nature, animals often ignore socially available information despite the multiple theoretical benefits of social learning over individual trial-and-error learning. Using information filtered by others is quicker, more efficient and less risky than randomly sampling the environment. To explain the mix of social and individual learning used by animals in nature, most models penalize the quality of socially derived information as either out of date, of poor fidelity or costly to acquire. Competition for limited resources, a fundamental evolutionary force, provides a compelling, yet hitherto overlooked, explanation for the evolution of mixed-learning strategies. We present a novel model of social learning that incorporates competition and demonstrates that (i) social learning is favoured when competition is weak, but (ii) if competition is strong social learning is favoured only when resource quality is highly variable and there is low environmental turnover. The frequency of social learning in our model always evolves until it reduces the mean foraging success of the population. The results of our model are consistent with empirical studies showing that individuals rely less on social information where resources vary little in quality and where there is high within-patch competition. Our model provides a framework for understanding the evolution of social learning, a prerequisite for human cumulative culture. © 2015 The Author(s).

  19. Effective post-literacy learning: A question of a national human resource strategy

    Science.gov (United States)

    Ahmed, Manzoor

    1989-12-01

    Initial literacy courses must be followed by opportunities for consolidating the mechanics of literacy skills and practical application of three skills in life. Experience has shown that these `post-literacy' objectives can be achieved, not by a second stage of the literacy course, but by a range of opportunities for learning and application of learning through a network of continuing education opportunities geared to the diverse needs and circumstances of different categories of neo-literates. A taxonomy of learner categories and learning needs is seen as a basis for planning and supporting the network of post-literacy learning. Examples from China, India and Thailand demonstrate the importance of recognizing the continuity of literacy and post-literacy efforts, the need for commitment of resources for this continuum of learning, the role of an organizational structure to deal with this continuum in a coordinated way, and the value of a comprehensive range of learning opportunities for neo-literates. A necessary condition for success in building a network of continuing learning opportunities and contributing to the creation of a `learning society' is to make human resource development the core of national development. It is argued that the scope and dimensions of post-literacy continuing education are integrally linked with the goal of mass basic education and ultimately with the vision of a `learning society'. Such a vision can be a reality only with a serious human resource development focus in national development that will permit the necessary mobilization of resources, the coordination of sectors of government and society and the generation of popular enthusiasm. A radical or an incremental approach can be taken to move towards the primacy of a human resource strategy in national development. In either case, a functioning coordination and support mechanism has to be developed for the key elements of mass basic education including post-literacy learning.

  20. Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction.

    Science.gov (United States)

    Ak, Ronay; Fink, Olga; Zio, Enrico

    2016-08-01

    The increasing liberalization of European electricity markets, the growing proportion of intermittent renewable energy being fed into the energy grids, and also new challenges in the patterns of energy consumption (such as electric mobility) require flexible and intelligent power grids capable of providing efficient, reliable, economical, and sustainable energy production and distribution. From the supplier side, particularly, the integration of renewable energy sources (e.g., wind and solar) into the grid imposes an engineering and economic challenge because of the limited ability to control and dispatch these energy sources due to their intermittent characteristics. Time-series prediction of wind speed for wind power production is a particularly important and challenging task, wherein prediction intervals (PIs) are preferable results of the prediction, rather than point estimates, because they provide information on the confidence in the prediction. In this paper, two different machine learning approaches to assess PIs of time-series predictions are considered and compared: 1) multilayer perceptron neural networks trained with a multiobjective genetic algorithm and 2) extreme learning machines combined with the nearest neighbors approach. The proposed approaches are applied for short-term wind speed prediction from a real data set of hourly wind speed measurements for the region of Regina in Saskatchewan, Canada. Both approaches demonstrate good prediction precision and provide complementary advantages with respect to different evaluation criteria.

  1. Dental and Medical Students' Use and Perceptions of Learning Resources in a Human Physiology Course.

    Science.gov (United States)

    Tain, Monica; Schwartzstein, Richard; Friedland, Bernard; Park, Sang E

    2017-09-01

    The aim of this study was to determine the use and perceived utility of various learning resources available during the first-year Integrated Human Physiology course at the dental and medical schools at Harvard University. Dental and medical students of the Class of 2018 were surveyed anonymously online in 2015 regarding their use of 29 learning resources in this combined course. The learning resources had been grouped into four categories to discern frequency of use and perceived usefulness among the categories. The survey was distributed to 169 students, and 73 responded for a response rate of 43.2%. There was no significant difference among the learning resource categories in frequency of use; however, there was a statistically significant difference among categories in students' perceptions of usefulness. No correlation was found between frequency of use and perceived usefulness of each category. Students seemingly were not choosing the most useful resources for them. These results suggest that, in the current educational environment, where new technologies and self-directed learning are highly sought after, there remains a need for instructor-guided learning.

  2. Collocational Relations in Japanese Language Textbooks and Computer-Assisted Language Learning Resources

    Directory of Open Access Journals (Sweden)

    Irena SRDANOVIĆ

    2011-05-01

    Full Text Available In this paper, we explore presence of collocational relations in the computer-assisted language learning systems and other language resources for the Japanese language, on one side, and, in the Japanese language learning textbooks and wordlists, on the other side. After introducing how important it is to learn collocational relations in a foreign language, we examine their coverage in the various learners’ resources for the Japanese language. We particularly concentrate on a few collocations at the beginner’s level, where we demonstrate their treatment across various resources. A special attention is paid to what is referred to as unpredictable collocations, which have a bigger foreign language learning-burden than the predictable ones.

  3. Student perceptions on learning with online resources in a flipped mathematics classroom

    DEFF Research Database (Denmark)

    Triantafyllou, Eva; Timcenko, Olga

    2015-01-01

    This article discusses student perceptions of if and how online resources contribute to mathematics learning and motivation. It includes results from an online survey we conducted at the Media Technology department of Aalborg University, Copenhagen, Denmark. For this study, students were given...... links to various online resources (screencasts, online readings and quizzes, and lecture notes) for out-of-class preparation in a flipped classroom in mathematics. The survey results show support for student perceptions that online resources enhance learning, by providing visual and in depth...... explanations, and they can motivate students. However, students stated that they miss just-in-time explanations when learning with online resources and they questioned the quality and validity of some of them....

  4. THE USE OF OPEN EDUCATIONAL RESOURCES IN ONLINE LEARNING: A Study of Students’ Perception

    Directory of Open Access Journals (Sweden)

    Meirani HARSASI

    2015-07-01

    Full Text Available Universitas Terbuka (UT is Indonesia’s higher education institution which implements distance education system. The term distance implies that learning is not performed face-to-face but there is geographically separation between students and teacher. Therefore, UT must provide many kinds of learning modes and learning support. To facilitate students in their learning process, UT provides an e-learning system named online tutorial. This tutorial is provided for all courses which are designed in 8 sessions of virtual class. Students can learn, discuss, and ask to the teacher via this mode of learning. As the development of methods in e-learning, the use of open educational resources (OER has increasing these days. Learning materials can be taken easily and freely from internet. UT also utilize OER in it’s learning process, especially in e-learning. The aim of this study was to collect data from students about their acceptance of integrating OER into e-learning. The use of OER is perceived by students as something interesting because it’s new for them and can help them to have a better understanding about a topic. The results also showed that video has found as the most interesting OER for students. Other results, limitation and suggestion from students about integrating OER into e-learning also will be discussed in this paper.

  5. EMPOWERING THE HUMAN RESOURCES AND THE ROLE OF DISTANCE LEARNING

    Directory of Open Access Journals (Sweden)

    Sukmaya LAMA

    2012-07-01

    Full Text Available As the world is invaded by technological inventions and wonders, life becoming more fast and crazy, yet there can be no doubt that the critical factor for the development of a nation or a state is its human resource. The productivity of a nation is influenced by the number of its skilled population. When we look into the problem of underdevelopment from human resource perspective we are bound to take a look at the educational scenario. In India, the higher education scenario has been very sickly, due to the pro profit policies, lack of infrastructure, entry of private players, etc. The growth of distance education phenomenon in India has no doubt brought a ray of hope. The present paper aims to look into the role of distance education in Assam and the potential it carries in building a huge wealth of human resources.

  6. The second generation of natural resource damage assessments: Lessons learned?

    International Nuclear Information System (INIS)

    Luthi, R.B.; Burlington, L.B.; Reinharz, E.; Shutler, S.K.

    1993-01-01

    The Damage Assessment Regulations Team (DART), under the Office of General Counsel of the National Oceanic and Atmospheric Administration (NOAA), has centered its efforts on developing natural resource damage assessment regulations for oil pollution in navigable waters. These procedures will likely lower the costs associated with damage assessments, encourage joint cooperative assessments and simplify most assessments. The DART team of NOAA is developing new regulations for the assessment of damages due to injuries related to oil spills under the Oil Pollution Act of 1990. These regulations will involve coordination, restoration, and economic valuation. Various methods are currently being developed to assess damages for injuries to natural resources. The proposed means include: compensation tables for spills under 50,000 gallons, Type A model, expedited damage assessment (EDA) procedures, and comprehensive procedures. They are being developed to provide trustees with a choice for assessing natural resource damages for each oil spill

  7. More technology, better learning resources, better learning? Lessons from adopting virtual microscopy in undergraduate medical education.

    Science.gov (United States)

    Helle, Laura; Nivala, Markus; Kronqvist, Pauliina

    2013-01-01

    The adoption of virtual microscopy at the University of Turku, Finland, created a unique real-world laboratory for exploring ways of reforming the learning environment. The purpose of this study was to evaluate the students' reactions and the impact of a set of measures designed to boost an experimental group's understanding of abnormal histology through an emphasis on knowledge of normal cells and tissues. The set of measures included (1) digital resources to review normal structures and an entrance examination for enforcement, (2) digital course slides highlighting normal and abnormal tissues, and (3) self-diagnostic quizzes. The performance of historical controls was used as a baseline, as previous students had never been exposed to the above-mentioned measures. The students' understanding of normal histology was assessed in the beginning of the module to determine the impact of the first set of measures, whereas that of abnormal histology was assessed at the end of the module to determine the impact of the whole set of measures. The students' reactions to the instructional measures were assessed by course evaluation data. Additionally, four students were interviewed. Results confirmed that the experimental group significantly outperformed the historical controls in understanding normal histology. The students held favorable opinions on the idea of emphasizing normal structures. However, with regards to abnormal histology, the historical controls outperformed the experimental group. In conclusion, allowing students access to high-quality digitized materials and boosting prerequisite skills are clearly not sufficient to boost final competence. Instead, the solution may lie in making students externally accountable for their learning throughout their training. Copyright © 2012 American Association of Anatomists.

  8. Work in the classrooms with European perspective: materials and resources for autonomus learning

    Directory of Open Access Journals (Sweden)

    Manuela RAPOSO RIVAS

    2011-04-01

    Full Text Available One of the key principles set forth in the bologna process is to focus teaching on students, by getting involved actively and independently in their learning process and in developing their skills. This requires the use of teaching and learning methods together with materials and resources to motivate and guide them. In this paper, we present three of them, from our experience in adapting the subject of «New Technologies Applied to education» to the ecTs system, which we have found useful for guiding and evaluating the learning process and promote the intended learning. These materials and resources are: «learning guides», the portfolio and the rubric.

  9. Managing Student Learning: Schools as Multipliers of Intangible Resources

    Science.gov (United States)

    Paletta, Angelo

    2011-01-01

    The conceptual categories that underlie the business analysis of intellectual capital are relevant to providing an explanation of school performance. By gathering data on student learning, this research provides empirical evidence for the use of school results as an accurate indicator of the effectiveness of the management of public education.…

  10. AN INCLUSIVE APPROACH TO ONLINE LEARNING ENVIRONMENTS: Models and Resources

    Directory of Open Access Journals (Sweden)

    Aline Germain-RUTHERFORD

    2008-04-01

    Full Text Available The impact of ever-increasing numbers of online courses on the demographic composition of classes has meant that the notions of diversity, multiculturality and globalization are now key aspects of curriculum planning. With the internationalization and globalization of education, and faced with rising needs for an increasingly educated and more adequately trained workforce, universities are offering more flexible programs, assisted by new educational and communications technologies. Faced with this diversity of populations and needs, many instructors are becoming aware of the importance of addressing the notions of multiculturality and interculturality in the design of online however this raises many questions. For example, how do we integrate and address this multicultural dimension in a distance education course aimed at students who live in diverse cultural environments? How do the challenges of intercultural communication in an online environment affect online teaching and learning? What are the characteristics of an online course that is inclusive of all types of diversity, and what are the guiding principles for designing such courses? We will attempt to answer some of these questions by first exploring the concepts of culture and learning cultures. This will help us to characterize the impact on online learning of particular cultural dimensions. We will then present and discuss different online instructional design models that are culturally inclusive, and conclude with the description of a mediated instructional training module on the management of the cultural dimension of online teaching and learning. This module is mainly addressed to teachers and designers of online courses.

  11. Digital Learning Resources and Ubiquitous Technologies in Education

    Science.gov (United States)

    Camilleri, Mark Anthony; Camilleri, Adriana Caterina

    2017-01-01

    This research explores the educators' attitudes and perceptions about their utilisation of digital learning technologies. The methodology integrates measures from "the pace of technological innovativeness" and the "technology acceptance model" to understand the rationale for further ICT investment in compulsory education. A…

  12. Information Resources Usage in Project Management Digital Learning System

    Science.gov (United States)

    Davidovitch, Nitza; Belichenko, Margarita; Kravchenko, Yurii

    2017-01-01

    The article combines a theoretical approach to structuring knowledge that is based on the integrated use of fuzzy semantic network theory predicates, Boolean functions, theory of complexity of network structures and some practical aspects to be considered in the distance learning at the university. The paper proposes a methodological approach that…

  13. Interaction and Technological Resources to Support Learning of Complex Numbers

    Directory of Open Access Journals (Sweden)

    Cassiano Scott Puhl

    2016-02-01

    Full Text Available This article presents a didactic proposal, a workshop for the introduction of the study of complex numbers. Unlike recurrent practices, the workshop began developing the geometric shape of the complex number, implicitly, through vectors. Eliminating student formal vision and algebraic, enriching the teaching practice. The main objective of the strategy was to build the concept of imaginary unit without causing a feeling of strangeness or insignificance of number. The theory of David Ausubel, meaningful learning, the workshop was based on a strategy developed to analyze the subsumers of students and develop a learning by subject. Combined with dynamic and interactive activities in the workshop, there is the use of a learning object (http://matematicacomplexa.meximas.com/. An environment created and basing on the theory of meaningful learning, making students reflect and interact in developed applications sometimes being challenged and other testing hypotheses and, above all, building knowledge. This proposal provided a rich environment for exchange of information between participants and deepening of ideas and concepts that served as subsumers. The result of the experience was very positive, as evidenced by the comments and data submitted by the participants, thus demonstrating that the objectives of this didactic proposal have been achieved.

  14. Women's Learning and Leadership Styles: Impact on Crew Resource Management.

    Science.gov (United States)

    Turney, Mary Ann

    With an increasing number of women becoming members of flight crews, the leadership styles of men and women are at issue. A study explored three basic questions: (1) How do male and female learning and leadership styles differ? (2) What barriers to gender integration and crew teamwork are perceived by pilot crew members? and (3) What…

  15. Science Learning via Multimedia Portal Resources: The Scottish Case

    Science.gov (United States)

    Elliot, Dely; Wilson, Delia; Boyle, Stephen

    2014-01-01

    Scotland's rich heritage in the field of science and engineering and recent curricular developments led to major investment in education to equip pupils with improved scientific knowledge and skills. However, due to its abstract and conceptual nature, learning science can be challenging. Literature supports the role of multimedia technology in…

  16. Empowering the Human Resources and the Role of Distance Learning

    Science.gov (United States)

    Lama, Sukmaya; Kashyap, Mridusmita

    2012-01-01

    As the world is invaded by technological inventions and wonders, life becoming more fast and crazy, yet there can be no doubt that the critical factor for the development of a nation or a state is its human resource. The productivity of a nation is influenced by the number of its skilled population. When we look into the problem of…

  17. in_focus - Comangement of Natural Resources: Local Learning for ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    The developing world's poorest people live in marginal, often harsh rural environments. ... Co-Management of Natural Resources in Canada: A Review of Concepts and Case Studies ... He holds a doctorate in city and regional planning from the University of ... funding for the Climate and Development Knowledge Network.

  18. From Training to Learning in Enterprise Resource Planning Systems

    Science.gov (United States)

    Kerr, Don; Murray, Peter A.; Burgess, Kevin

    2012-01-01

    The information systems' literature outlines how training is a critical factor to successful Enterprise Resource Planning (ERP) implementations. Yet, types of training are not discussed in the literature and there is little indication if existing training is effective and whether relevant contextual factors have been considered. Without…

  19. Investigating Student Use and Value of E-Learning Resources to Develop Academic Writing within the Discipline of Environmental Science

    Science.gov (United States)

    Taffs, Kathryn H.; Holt, Julienne I.

    2013-01-01

    The use of information and communication technologies (ICTs) in higher education to support student learning is expanding. However, student usage has been low and the value of e-learning resources has been under investigation. We reflect on best practices for pedagogical design of e-learning resources to support academic writing in environmental…

  20. E-learning in medical education in resource constrained low- and middle-income countries.

    Science.gov (United States)

    Frehywot, Seble; Vovides, Yianna; Talib, Zohray; Mikhail, Nadia; Ross, Heather; Wohltjen, Hannah; Bedada, Selam; Korhumel, Kristine; Koumare, Abdel Karim; Scott, James

    2013-02-04

    In the face of severe faculty shortages in resource-constrained countries, medical schools look to e-learning for improved access to medical education. This paper summarizes the literature on e-learning in low- and middle-income countries (LMIC), and presents the spectrum of tools and strategies used. Researchers reviewed literature using terms related to e-learning and pre-service education of health professionals in LMIC. Search terms were connected using the Boolean Operators "AND" and "OR" to capture all relevant article suggestions. Using standard decision criteria, reviewers narrowed the article suggestions to a final 124 relevant articles. Of the relevant articles found, most referred to e-learning in Brazil (14 articles), India (14), Egypt (10) and South Africa (10). While e-learning has been used by a variety of health workers in LMICs, the majority (58%) reported on physician training, while 24% focused on nursing, pharmacy and dentistry training. Although reasons for investing in e-learning varied, expanded access to education was at the core of e-learning implementation which included providing supplementary tools to support faculty in their teaching, expanding the pool of faculty by connecting to partner and/or community teaching sites, and sharing of digital resources for use by students. E-learning in medical education takes many forms. Blended learning approaches were the most common methodology presented (49 articles) of which computer-assisted learning (CAL) comprised the majority (45 articles). Other approaches included simulations and the use of multimedia software (20 articles), web-based learning (14 articles), and eTutor/eMentor programs (3 articles). Of the 69 articles that evaluated the effectiveness of e-learning tools, 35 studies compared outcomes between e-learning and other approaches, while 34 studies qualitatively analyzed student and faculty attitudes toward e-learning modalities. E-learning in medical education is a means to an end

  1. E-learning in medical education in resource constrained low- and middle-income countries

    Science.gov (United States)

    2013-01-01

    Background In the face of severe faculty shortages in resource-constrained countries, medical schools look to e-learning for improved access to medical education. This paper summarizes the literature on e-learning in low- and middle-income countries (LMIC), and presents the spectrum of tools and strategies used. Methods Researchers reviewed literature using terms related to e-learning and pre-service education of health professionals in LMIC. Search terms were connected using the Boolean Operators “AND” and “OR” to capture all relevant article suggestions. Using standard decision criteria, reviewers narrowed the article suggestions to a final 124 relevant articles. Results Of the relevant articles found, most referred to e-learning in Brazil (14 articles), India (14), Egypt (10) and South Africa (10). While e-learning has been used by a variety of health workers in LMICs, the majority (58%) reported on physician training, while 24% focused on nursing, pharmacy and dentistry training. Although reasons for investing in e-learning varied, expanded access to education was at the core of e-learning implementation which included providing supplementary tools to support faculty in their teaching, expanding the pool of faculty by connecting to partner and/or community teaching sites, and sharing of digital resources for use by students. E-learning in medical education takes many forms. Blended learning approaches were the most common methodology presented (49 articles) of which computer-assisted learning (CAL) comprised the majority (45 articles). Other approaches included simulations and the use of multimedia software (20 articles), web-based learning (14 articles), and eTutor/eMentor programs (3 articles). Of the 69 articles that evaluated the effectiveness of e-learning tools, 35 studies compared outcomes between e-learning and other approaches, while 34 studies qualitatively analyzed student and faculty attitudes toward e-learning modalities. Conclusions E-learning

  2. E-learning in medical education in resource constrained low- and middle-income countries

    Directory of Open Access Journals (Sweden)

    Frehywot Seble

    2013-02-01

    Full Text Available Abstract Background In the face of severe faculty shortages in resource-constrained countries, medical schools look to e-learning for improved access to medical education. This paper summarizes the literature on e-learning in low- and middle-income countries (LMIC, and presents the spectrum of tools and strategies used. Methods Researchers reviewed literature using terms related to e-learning and pre-service education of health professionals in LMIC. Search terms were connected using the Boolean Operators “AND” and “OR” to capture all relevant article suggestions. Using standard decision criteria, reviewers narrowed the article suggestions to a final 124 relevant articles. Results Of the relevant articles found, most referred to e-learning in Brazil (14 articles, India (14, Egypt (10 and South Africa (10. While e-learning has been used by a variety of health workers in LMICs, the majority (58% reported on physician training, while 24% focused on nursing, pharmacy and dentistry training. Although reasons for investing in e-learning varied, expanded access to education was at the core of e-learning implementation which included providing supplementary tools to support faculty in their teaching, expanding the pool of faculty by connecting to partner and/or community teaching sites, and sharing of digital resources for use by students. E-learning in medical education takes many forms. Blended learning approaches were the most common methodology presented (49 articles of which computer-assisted learning (CAL comprised the majority (45 articles. Other approaches included simulations and the use of multimedia software (20 articles, web-based learning (14 articles, and eTutor/eMentor programs (3 articles. Of the 69 articles that evaluated the effectiveness of e-learning tools, 35 studies compared outcomes between e-learning and other approaches, while 34 studies qualitatively analyzed student and faculty attitudes toward e-learning modalities

  3. Teacher Resource Book for Population Pressure in Indonesia, Problems of Industrialization in Eurasia, Power Blocs in Eurasia. Man on the Earth Series.

    Science.gov (United States)

    Gunn, Angus

    This teacher's resource book is a guide to three intermediate texts about Eurasia entitled Population Pressure in Indonesia, Problems of Industrialization in Eurasia, and Power Blocs in Eurasia. The texts are part of the series, Man on the Earth, which probes broad-based issues confronting mankind. The resource book distinguishes 18 major concepts…

  4. Introducing the ICF: the development of an online resource to support learning, teaching and curriculum design.

    Science.gov (United States)

    Jones, Lester E

    2011-03-01

    The International Classification of Functioning, Disability and Health (ICF) was adopted as one of the key models to support early health professional learning across a suite of new preregistration health science courses. It was decided that an online resource should be developed to enable students, course designers and teaching staff, across all disciplines, to have access to the same definitions, government policies and other supporting information on disability. As part of the comprehensive curriculum review, enquiry-based learning was adopted as the educational approach. Enquiry-based learning promotes deeper learning by encouraging students to engage in authentic challenges. As such, it was important that the online resource was not merely a site for accessing content, but enabled students to make decisions about where else to explore for credible information about the ICF. The selection of a host location that all students and staff could access meant that the resource could not be located in the existing online learning management system. Construction using software being trialled by the library at La Trobe University allowed for the required access, as well as alignment with an enquiry-based learning approach. Consultation for the content of the online resource included formal and informal working groups on curriculum review. The published version included resources from the World Health Organization, examples of research completed within different disciplines, a test of knowledge and a preformatted search page. The format of the online resource allows for updating of information, and feedback on the utilisation of the software has been used to enhance the student experience. The key issues for the development of this online resource were accessibility for students and staff, alignment with the adopted educational approach, consultation with all disciplines, and ease of modification of information and format once published. Copyright © 2010 Chartered

  5. Automation of information decision support to improve e-learning resources quality

    Directory of Open Access Journals (Sweden)

    A.L. Danchenko

    2013-06-01

    Full Text Available Purpose. In conditions of active development of e-learning the high quality of e-learning resources is very important. Providing the high quality of e-learning resources in situation with mass higher education and rapid obsolescence of information requires the automation of information decision support for improving the quality of e-learning resources by development of decision support system. Methodology. The problem is solved by methods of artificial intelligence. The knowledge base of information structure of decision support system that is based on frame model of knowledge representation and inference production rules are developed. Findings. According to the results of the analysis of life cycle processes and requirements to the e-learning resources quality the information model of the structure of the knowledge base of the decision support system, the inference rules for the automatically generating of recommendations and the software implementation are developed. Practical value. It is established that the basic requirements for quality are performance, validity, reliability and manufacturability. It is shown that the using of a software implementation of decision support system for researched courses gives a growth of the quality according to the complex quality criteria. The information structure of a knowledge base system to support decision-making and rules of inference can be used by methodologists and content developers of learning systems.

  6. An evaluation of learning resources in the teaching of formal philosophical methods

    Directory of Open Access Journals (Sweden)

    Susan A.J. Stuart

    2003-12-01

    Full Text Available In any discipline, across a wide variety of subjects, there are numerous learning resources available to students. For many students the resources that will be most beneficial to them are quickly apparent but, because of the nature of philosophy and the philosophical method, it is not immediately clear which resources will be most valuable to students for whom the development of critical thinking skills is crucial. If we are to support these students effectively in their learning we must establish what these resources are how we can continue to maintain and improve them, and how we can encourage students to make good use of them. In this paper we describe and assess our evaluation of the use made by students of learning resources in the context of learning logic and in developing their critical thinking skills. We also assess the use of a new resource, electronic handsets, the purpose of which is to encourage students to respond to questions in lectures and to gain feedback about how they are progressing with the material.

  7. Web-Enhanced Instruction and Learning: Findings of a Short- and Long-Term Impact Study and Teacher Use of NASA Web Resources

    Science.gov (United States)

    McCarthy, Marianne C.; Grabowski, Barbara L.; Koszalka, Tiffany

    2003-01-01

    Over a three-year period, researchers and educators from the Pennsylvania State University (PSU), University Park, Pennsylvania, and the NASA Dryden Flight Research Center (DFRC), Edwards, California, worked together to analyze, develop, implement and evaluate materials and tools that enable teachers to use NASA Web resources effectively for teaching science, mathematics, technology and geography. Two conference publications and one technical paper have already been published as part of this educational research series on Web-based instruction and learning. This technical paper, Web-Enhanced Instruction and Learning: Findings of a Short- and Long-Term Impact Study, is the culminating report in this educational research series and is based on the final report submitted to NASA. This report describes the broad spectrum of data gathered from teachers about their experiences using NASA Web resources in the classroom. It also describes participating teachers responses and feedback about the use of the NASA Web-Enhanced Learning Environment Strategies reflection tool on their teaching practices. The reflection tool was designed to help teachers merge the vast array of NASA resources with the best teaching methods, taking into consideration grade levels, subject areas and teaching preferences. The teachers described their attitudes toward technology and innovation in the classroom and their experiences and perceptions as they attempted to integrate Web resources into science, mathematics, technology and geography instruction.

  8. A review of assertions about the processes and outcomes of social learning in natural resource management.

    Science.gov (United States)

    Cundill, G; Rodela, R

    2012-12-30

    Social learning has become a central theme in natural resource management. This growing interest is underpinned by a number of assertions about the outcomes of social learning, and about the processes that support these outcomes. Yet researchers and practitioners who seek to engage with social learning through the natural resource management literature often become disorientated by the myriad processes and outcomes that are identified. We trace the roots of current assertions about the processes and outcomes of social learning in natural resource management, and assess the extent to which there is an emerging consensus on these assertions. Results suggest that, on the one hand, social learning is described as taking place through deliberative interactions amongst multiple stakeholders. During these interactions, it is argued that participants learn to work together and build relationships that allow for collective action. On the other hand, social learning is described as occurring through deliberate experimentation and reflective practice. During these iterative cycles of action, monitoring and reflection, participants learn how to cope with uncertainty when managing complex systems. Both of these processes, and their associated outcomes, are referred to as social learning. Where, therefore, should researchers and practitioners focus their attention? Results suggest that there is an emerging consensus that processes that support social learning involve sustained interaction between stakeholders, on-going deliberation and the sharing of knowledge in a trusting environment. There is also an emerging consensus that the key outcome of such learning is improved decision making underpinned by a growing awareness of human-environment interactions, better relationships and improved problem-solving capacities for participants. Copyright © 2012 Elsevier Ltd. All rights reserved.

  9. Mobilizing Learning Resources in a Transnational Classroom: Translocal and Digital Resources in a Community Technology Center

    Science.gov (United States)

    Noguerón-Liu, Silvia

    2014-01-01

    Drawing from transnational and activity theory frameworks, this study analyzes the ways translocal flows shape learning in a community technology center serving adult immigrants in the US Southwest. It also explores students' constructions of the transnational nature of the courses they took, where they had access to both online and face-to-face…

  10. Planning for partnerships: Maximizing surge capacity resources through service learning.

    Science.gov (United States)

    Adams, Lavonne M; Reams, Paula K; Canclini, Sharon B

    2015-01-01

    Infectious disease outbreaks and natural or human-caused disasters can strain the community's surge capacity through sudden demand on healthcare activities. Collaborative partnerships between communities and schools of nursing have the potential to maximize resource availability to meet community needs following a disaster. This article explores how communities can work with schools of nursing to enhance surge capacity through systems thinking, integrated planning, and cooperative efforts.

  11. Open Educational Resources and Informational Ecosystems: «Edutags» as a connector for open learning

    Directory of Open Access Journals (Sweden)

    Michael Kerres

    2014-10-01

    Full Text Available Teaching and learning in school essentially relies on analogous and digital media, artefacts and tools of all kinds. They are supported and provided by various players. The role of these players for providing learning infrastructures and the interaction between them are discussed in the following paper. Increasingly, Open Educational Resources (OER become available and the question arises how the interaction between these players is impacted. On the one hand, some players implement closed informational ecosystems that might provide a rich and coherent environment for learning, but also lock the users into a defined and often restricted environment. On the other hand, other players are interested in developing an infrastructure that supports open learning without the boundaries of closed informational ecosystems. Such open informational ecosystems must provide interconnections to numerous, in principal, unlimited number of platforms for learning contents. In the context of the project «Edutags» a reference platform is being implemented by way in which the contents of various providers are being connected and enriched through user-generated tags, commentaries and evaluations. The discussion points out that such an independent reference platform, operated separately from content platforms, must be considered as an important element in an open and truly distributed infrastructure for learning resources. Hence, we do not only need open educational resources to support open learning, we also need to establish an open informational ecosystem that supports such approaches.

  12. Use of Online Learning Resources in the Development of Learning Environments at the Intersection of Formal and Informal Learning: The Student as Autonomous Designer

    Directory of Open Access Journals (Sweden)

    Maja Lebeničnik

    2015-06-01

    Full Text Available Learning resources that are used in the education of university students are often available online. The nature of new technologies causes an interweaving of formal and informal learning, with the result that a more active role is expected from students with regard to the use of ICT for their learning. The variety of online learning resources (learning content and learning tools facilitates informed use and enables students to create the learning environment that is most appropriate for their personal learning needs and preferences. In contemporary society, the creation of an inclusive learning environment supported by ICT is pervasive. The model of Universal Design for Learning is becoming increasingly significant in responding to the need for inclusive learning environments. In this article, we categorize different online learning activities into the principles of Universal Design for Learning. This study examines ICT use among university students (N = 138, comparing student teachers with students in other study programs. The findings indicate that among all students, activities with lower demands for engagement are most common. Some differences were observed between student teachers and students from other programs. Student teachers were more likely than their peers to perform certain activities aimed at meeting diverse learner needs, but the percentage of students performing more advanced activities was higher for students in other study programs than for student teachers. The categorization of activities revealed that student teachers are less likely to undertake activities that involve interaction with others. Among the sample of student teachers, we found that personal innovativeness is correlated with diversity of activities in only one category. The results show that student teachers should be encouraged to perform more advanced activities, especially activities involving interaction with others, collaborative learning and use of ICT to

  13. A holistic model for evaluating the impact of individual technology-enhanced learning resources.

    Science.gov (United States)

    Pickering, James D; Joynes, Viktoria C T

    2016-12-01

    The use of technology within education has now crossed the Rubicon; student expectations, the increasing availability of both hardware and software and the push to fully blended learning environments mean that educational institutions cannot afford to turn their backs on technology-enhanced learning (TEL). The ability to meaningfully evaluate the impact of TEL resources nevertheless remains problematic. This paper aims to establish a robust means of evaluating individual resources and meaningfully measure their impact upon learning within the context of the program in which they are used. Based upon the experience of developing and evaluating a range of mobile and desktop based TEL resources, this paper outlines a new four-stage evaluation process, taking into account learner satisfaction, learner gain, and the impact of a resource on both the individual and the institution in which it has been adapted. A new multi-level model of TEL resource evaluation is proposed, which includes a preliminary evaluation of need, learner satisfaction and gain, learner impact and institutional impact. Each of these levels are discussed in detail, and in relation to existing TEL evaluation frameworks. This paper details a holistic, meaningful evaluation model for individual TEL resources within the specific context in which they are used. It is proposed that this model is adopted to ensure that TEL resources are evaluated in a more meaningful and robust manner than is currently undertaken.

  14. Reflections of health care professionals on e-learning resources for patient safety.

    Science.gov (United States)

    Walsh, Kieran

    2018-01-01

    There is a paucity of evidence on how health care professionals view e-learning as a means of education to achieve safer health care. To address this gap, the reflections of health care professionals who used the resources on BMJ Learning were captured and analyzed. Key themes emerged from the analysis. Health care professionals are keen to put their e-learning into action to achieve safer health care and to learn how to follow guidelines that will help them achieve safer health care. Learners wanted their learning to remain grounded in reality. Finally, many commented that it was difficult for their individual learning to have a real impact when the culture of the organization did not change.

  15. Session: What can we learn from developed wind resource areas

    Energy Technology Data Exchange (ETDEWEB)

    Thelander, Carl; Erickson, Wally

    2004-09-01

    This session at the Wind Energy and Birds/Bats workshop was composed of two parts intended to examine what existing science tells us about wind turbine impacts at existing wind project sites. Part one dealt with the Altamont Wind Resource area, one of the older wind projects in the US, with a paper presented by Carl Thelander titled ''Bird Fatalities in the Altamont Pass Wind Resource Area: A Case Study, Part 1''. Questions addressed by the presenter included: how is avian habitat affected at Altamont and do birds avoid turbine sites; are birds being attracted to turbine strings; what factors contribute to direct impacts on birds by wind turbines at Altamont; how do use, behavior, avoidance and other factors affect risk to avian species, and particularly impacts those species listed as threatened, endangered, or of conservation concern, and other state listed species. The second part dealt with direct impacts to birds at new generation wind plants outside of California, examining such is sues as mortality, avoidance, direct habitat impacts from terrestrial wind projects, species and numbers killed per turbine rates/MW generated, impacts to listed threatened and endangered species, to USFWS Birds of Conservation Concern, and to state listed species. This session focused on newer wind project sites with a paper titled ''Bird Fatality and Risk at New Generation Wind Projects'' by Wally Erickson. Each paper was followed by a discussion/question and answer period.

  16. A machine learning approach for predicting the relationship between energy resources and economic development

    Science.gov (United States)

    Cogoljević, Dušan; Alizamir, Meysam; Piljan, Ivan; Piljan, Tatjana; Prljić, Katarina; Zimonjić, Stefan

    2018-04-01

    The linkage between energy resources and economic development is a topic of great interest. Research in this area is also motivated by contemporary concerns about global climate change, carbon emissions fluctuating crude oil prices, and the security of energy supply. The purpose of this research is to develop and apply the machine learning approach to predict gross domestic product (GDP) based on the mix of energy resources. Our results indicate that GDP predictive accuracy can be improved slightly by applying a machine learning approach.

  17. Effect of improving the usability of an e-learning resource: a randomized trial.

    Science.gov (United States)

    Davids, Mogamat Razeen; Chikte, Usuf M E; Halperin, Mitchell L

    2014-06-01

    Optimizing the usability of e-learning materials is necessary to reduce extraneous cognitive load and maximize their potential educational impact. However, this is often neglected, especially when time and other resources are limited. We conducted a randomized trial to investigate whether a usability evaluation of our multimedia e-learning resource, followed by fixing of all problems identified, would translate into improvements in usability parameters and learning by medical residents. Two iterations of our e-learning resource [version 1 (V1) and version 2 (V2)] were compared. V1 was the first fully functional version and V2 was the revised version after all identified usability problems were addressed. Residents in internal medicine and anesthesiology were randomly assigned to one of the versions. Usability was evaluated by having participants complete a user satisfaction questionnaire and by recording and analyzing their interactions with the application. The effect on learning was assessed by questions designed to test the retention and transfer of knowledge. Participants reported high levels of satisfaction with both versions, with good ratings on the System Usability Scale and adjective rating scale. In contrast, analysis of video recordings revealed significant differences in the occurrence of serious usability problems between the two versions, in particular in the interactive HandsOn case with its treatment simulation, where there was a median of five serious problem instances (range: 0-50) recorded per participant for V1 and zero instances (range: 0-1) for V2 (P e-learning resource resulted in significant improvements in usability. This is likely to translate into improved motivation and willingness to engage with the learning material. In this population of relatively high-knowledge participants, learning scores were similar across the two versions. Copyright © 2014 The American Physiological Society.

  18. Plasticity in learning causes immediate and trans-generational changes in allocation of resources.

    Science.gov (United States)

    Snell-Rood, Emilie C; Davidowitz, Goggy; Papaj, Daniel R

    2013-08-01

    Plasticity in the development and expression of behavior may allow organisms to cope with novel and rapidly changing environments. However, plasticity itself may depend on the developmental experiences of an individual. For instance, individuals reared in complex, enriched environments develop enhanced cognitive abilities as a result of increased synaptic connections and neurogenesis. This suggests that costs associated with behavioral plasticity-in particular, increased investment in "self" at the expense of reproduction-may also be flexible. Using butterflies as a system, this work tests whether allocation of resources changes as a result of experiences in "difficult" environments that require more investment in learning. We contrast allocation of resources among butterflies with experience in environments that vary in the need for learning. Butterflies with experience searching for novel (i.e., red) hosts, or searching in complex non-host environments, allocate more resources (protein and carbohydrate reserves) to their own flight muscle. In addition, butterflies with experience in these more difficult environments allocate more resources per individual offspring (i.e., egg size and/or lipid reserves). This results in a mother's experience having significant effects on the growth of her offspring (i.e., dry mass and wing length). A separate study showed this re-allocation of resources comes at the expense of lifetime fecundity. These results suggest that investment in learning, and associated changes in life history, can be adjusted depending on an individual's current need, and their offspring's future needs, for learning.

  19. Request Stream Control for the Access to Broadband Multimedia Educational Resources in the Distance Learning System

    Directory of Open Access Journals (Sweden)

    Irina Pavlovna Bolodurina

    2013-10-01

    Full Text Available This article presents a model of queuing system for broadband multimedia educational resources, as well as a model of access to a hybrid cloud system storage. These models are used to enhance the efficiency of computing resources in a distance learning system. An additional OpenStack control module has been developed to achieve the distribution of request streams and balance the load between cloud nodes.

  20. Development of inquiry-based learning activities integrated with the local learning resource to promote learning achievement and analytical thinking ability of Mathayomsuksa 3 student

    Science.gov (United States)

    Sukji, Paweena; Wichaidit, Pacharee Rompayom; Wichaidit, Sittichai

    2018-01-01

    The objectives of this study were to: 1) compare learning achievement and analytical thinking ability of Mathayomsuksa 3 students before and after learning through inquiry-based learning activities integrated with the local learning resource, and 2) compare average post-test score of learning achievement and analytical thinking ability to its cutting score. The target of this study was 23 Mathayomsuksa 3 students who were studying in the second semester of 2016 academic year from Banchatfang School, Chainat Province. Research instruments composed of: 1) 6 lesson plans of Environment and Natural Resources, 2) the learning achievement test, and 3) analytical thinking ability test. The results showed that 1) student' learning achievement and analytical thinking ability after learning were higher than that of before at the level of .05 statistical significance, and 2) average posttest score of student' learning achievement and analytical thinking ability were higher than its cutting score at the level of .05 statistical significance. The implication of this research is for science teachers and curriculum developers to design inquiry activities that relate to student's context.

  1. Video Productions as Learning Resources in Students’ Knowledge Building in the Ubiquitous Society

    DEFF Research Database (Denmark)

    Buhl, Mie; Andreasen, Lars Birch; Ørngreen, Rikke

    productions developed by the students themselves. This is investigated from a theoretical as well as an empirical perspective, building on the authors’ experiences from researching and teaching dealing with production of video in learning situations, with different learning objectives and didactic designs...... in mind. The paper will present an overview of the state-of-the art of research on using video productions as learning resources, followed by discussions of our own research results and practices. From the overview and the discussions concepts are defined and research questions formed, based...... on a multimodal perspective on teaching and educational design. We conclude by arguing where and why there is a need for more knowledge....

  2. A note on resource allocation scheduling with group technology and learning effects on a single machine

    Science.gov (United States)

    Lu, Yuan-Yuan; Wang, Ji-Bo; Ji, Ping; He, Hongyu

    2017-09-01

    In this article, single-machine group scheduling with learning effects and convex resource allocation is studied. The goal is to find the optimal job schedule, the optimal group schedule, and resource allocations of jobs and groups. For the problem of minimizing the makespan subject to limited resource availability, it is proved that the problem can be solved in polynomial time under the condition that the setup times of groups are independent. For the general setup times of groups, a heuristic algorithm and a branch-and-bound algorithm are proposed, respectively. Computational experiments show that the performance of the heuristic algorithm is fairly accurate in obtaining near-optimal solutions.

  3. Assessment for Complex Learning Resources: Development and Validation of an Integrated Model

    Directory of Open Access Journals (Sweden)

    Gudrun Wesiak

    2013-01-01

    Full Text Available Today’s e-learning systems meet the challenge to provide interactive, personalized environments that support self-regulated learning as well as social collaboration and simulation. At the same time assessment procedures have to be adapted to the new learning environments by moving from isolated summative assessments to integrated assessment forms. Therefore, learning experiences enriched with complex didactic resources - such as virtualized collaborations and serious games - have emerged. In this extension of [1] an integrated model for e-assessment (IMA is outlined, which incorporates complex learning resources and assessment forms as main components for the development of an enriched learning experience. For a validation the IMA was presented to a group of experts from the fields of cognitive science, pedagogy, and e-learning. The findings from the validation lead to several refinements of the model, which mainly concern the component forms of assessment and the integration of social aspects. Both aspects are accounted for in the revised model, the former by providing a detailed sub-model for assessment forms.

  4. Using mobile technologies to give health students access to learning resources in the UK community setting.

    Science.gov (United States)

    Walton, Graham; Childs, Susan; Blenkinsopp, Elizabeth

    2005-12-01

    This article describes a project which explored the potential for mobile technologies to give health students in the community access to learning resources. The purpose included the need to identify possible barriers students could face in using mobile technologies. Another focus was to assess the students perceptions of the importance of being able to access learning resources in the community. This 1-year project used two main approaches for data collection. A review of the literature on mobile technologies in the health context was conducted. This was used in a systematic way to identify key issues and trends. The literature review was used to inform the design and production of a questionnaire. This was distributed to and completed by a group of community health students at Northumbria University, UK. The questionnaire was piloted and there was a 100% completion rate with 49 returned forms. The literature review indicated that most mobile technology applications were occurring in the US. At the time of the review the most prevalent mobile technologies were PDAs, laptops, WAP phones and portable radios with use being concentrated around doctors in the acute sector. A range of advantages and disadvantages to the technology were discovered. Mobile technologies were mainly being used for clinical rather than learning applications. The students showed a low level of awareness of the technology but placed great importance to accessing learning resources from the community. Significant development and changes are taking place in mobile technologies. Since the data collection for this work was completed in 2004 podcasting and videocasting have become significant in mobile learning for health professionals. Librarians will need to address the relevance and implications of m-learning for their practice. Care and consideration needs to be given on the time and resources librarians allocate for the necessary development work around mobile technologies. Collaboration and

  5. A model of positive and negative learning : Learning demands and resources, learning engagement, critical thinking, and fake news detection

    NARCIS (Netherlands)

    Dormann, Christian; Demerouti, Eva; Bakker, Arnold; Zlatkin-Troitschanskaia, O.; Wittum, G.; Dengel, A.

    2018-01-01

    This chapter proposes a model of positive and negative learning (PNL model). We use the term negative learning when stress among students occurs, and when knowledge and abilities are not properly developed. We use the term positive learning if motivation is high and active learning occurs. The PNL

  6. Sophisticated Online Learning Scheme for Green Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks

    KAUST Repository

    Alqerm, Ismail

    2018-01-23

    5G is the upcoming evolution for the current cellular networks that aims at satisfying the future demand for data services. Heterogeneous cloud radio access networks (H-CRANs) are envisioned as a new trend of 5G that exploits the advantages of heterogeneous and cloud radio access networks to enhance spectral and energy efficiency. Remote radio heads (RRHs) are small cells utilized to provide high data rates for users with high quality of service (QoS) requirements, while high power macro base station (BS) is deployed for coverage maintenance and low QoS users service. Inter-tier interference between macro BSs and RRHs and energy efficiency are critical challenges that accompany resource allocation in H-CRANs. Therefore, we propose an efficient resource allocation scheme using online learning, which mitigates interference and maximizes energy efficiency while maintaining QoS requirements for all users. The resource allocation includes resource blocks (RBs) and power. The proposed scheme is implemented using two approaches: centralized, where the resource allocation is processed at a controller integrated with the baseband processing unit and decentralized, where macro BSs cooperate to achieve optimal resource allocation strategy. To foster the performance of such sophisticated scheme with a model free learning, we consider users\\' priority in RB allocation and compact state representation learning methodology to improve the speed of convergence and account for the curse of dimensionality during the learning process. The proposed scheme including both approaches is implemented using software defined radios testbed. The obtained results and simulation results confirm that the proposed resource allocation solution in H-CRANs increases the energy efficiency significantly and maintains users\\' QoS.

  7. Identifying and evaluating electronic learning resources for use in adult-gerontology nurse practitioner education.

    Science.gov (United States)

    Thompson, Hilaire J; Belza, Basia; Baker, Margaret; Christianson, Phyllis; Doorenbos, Ardith; Nguyen, Huong

    2014-01-01

    Enhancing existing curricula to meet newly published adult-gerontology advanced practice registered nurse (APRN) competencies in an efficient manner presents a challenge to nurse educators. Incorporating shared, published electronic learning resources (ELRs) in existing or new courses may be appropriate in order to assist students in achieving competencies. The purposes of this project were to (a) identify relevant available ELR for use in enhancing geriatric APRN education and (b) to evaluate the educational utility of identified ELRs based on established criteria. A multilevel search strategy was used. Two independent team members reviewed identified ELR against established criteria to ensure utility. Only resources meeting all criteria were retained. Resources were found for each of the competency areas and included formats such as podcasts, Web casts, case studies, and teaching videos. In many cases, resources were identified using supplemental strategies and not through traditional search or search of existing geriatric repositories. Resources identified have been useful to advanced practice educators in improving lecture and seminar content in a particular topic area and providing students and preceptors with additional self-learning resources. Addressing sustainability within geriatric APRN education is critical for sharing of best practices among educators and for sustainability of teaching and related resources. © 2014.

  8. Model of e-learning with electronic educational resources of new generation

    Directory of Open Access Journals (Sweden)

    A. V. Loban

    2017-01-01

    Full Text Available Purpose of the article: improving of scientific and methodical base of the theory of the е-learning of variability. Methods used: conceptual and logical modeling of the е-learning of variability process with electronic educational resource of new generation and system analysis of the interconnection of the studied subject area, methods, didactics approaches and information and communication technologies means. Results: the formalization complex model of the е-learning of variability with electronic educational resource of new generation is developed, conditionally decomposed into three basic components: the formalization model of the course in the form of the thesaurusclassifier (“Author of e-resource”, the model of learning as management (“Coordination. Consultation. Control”, the learning model with the thesaurus-classifier (“Student”. Model “Author of e-resource” allows the student to achieve completeness, high degree of didactic elaboration and structuring of the studied material in triples of variants: modules of education information, practical task and control tasks; the result of the student’s (author’s of e-resource activity is the thesaurus-classifier. Model of learning as management is based on the principle of personal orientation of learning in computer environment and determines the logic of interaction between the lecturer and the student when determining the triple of variants individually for each student; organization of a dialogue between the lecturer and the student for consulting purposes; personal control of the student’s success (report generation and iterative search for the concept of the class assignment in the thesaurus-classifier before acquiring the required level of training. Model “Student” makes it possible to concretize the learning tasks in relation to the personality of the student and to the training level achieved; the assumption of the lecturer about the level of training of a

  9. A Learning Perspective On The Role Of Natural Resources In Economic Development

    DEFF Research Database (Denmark)

    Andersen, Allan Dahl

    2011-01-01

    Natural resource-based industries are in economics often is understood as being unable to stimulate growth and development. The latter point has been put forward in the form of the ‘resource curse’ and is epitomised by inter alia Reinert (2007) who sees natural resource-based industries...... as detrimental to growth and development. Still, it will be argued here that Reinert’s approach is unsuitable for grasping the full role of natural resources in economic development because important aspects of industrial dynamics are ignored. In pursuit of the latter research aim two topics in economic research...... will be integrated: (i) the area of learning, innovation, capability building and economic development; (ii) with the area of natural resources and economic development. Such integration will be a contribution to both topics. Hence, this paper seeks to address the question: how can we understand the role of natural...

  10. Community knowledge and sustainable natural resources management: learning from the Monpa of Arunachal Pradesh

    Directory of Open Access Journals (Sweden)

    Ranjay K. Singh

    2006-04-01

    Full Text Available Community knowledge and local institutions play a significant role in sustainable comanagement, use and conservation of natural resources. Looking to the importance of these resources, a project, funded by the National Innovation Foundation (NIF, Ahmedabad, India was implemented to document the community knowledge associated with agriculture and natural resources in few selected Monpa tribe dominating villages of West Kameng and Tawang Districts of Arunachal Pradesh, India. Dynamics of various indigenous practices, gender role, culture and informal rural social institutions, cultural edges significantly contribute in managing and using the natural resources sustainably. Experiential learning and location specific knowledge play a pivotal role in ecosystem sustainability. Study also indicates the synergistic relation existing between local knowledge and ecological edges, thereby helping in sustaining livelihood in high altitude. Indigenous resource management systems are not mere traditions but adaptive responses that have evolved over time.

  11. Selection and Use of Online Learning Resources by First-Year Medical Students: Cross-Sectional Study.

    Science.gov (United States)

    Judd, Terry; Elliott, Kristine

    2017-10-02

    Medical students have access to a wide range of learning resources, many of which have been specifically developed for or identified and recommended to them by curriculum developers or teaching staff. There is an expectation that students will access and use these resources to support their self-directed learning. However, medical educators lack detailed and reliable data about which of these resources students use to support their learning and how this use relates to key learning events or activities. The purpose of this study was to comprehensively document first-year medical student selection and use of online learning resources to support their bioscience learning within a case-based curriculum and assess these data in relation to our expectations of student learning resource requirements and use. Study data were drawn from 2 sources: a survey of student learning resource selection and use (2013 cohort; n=326) and access logs from the medical school learning platform (2012 cohort; n=337). The paper-based survey, which was distributed to all first-year students, was designed to assess the frequency and types of online learning resources accessed by students and included items about their perceptions of the usefulness, quality, and reliability of various resource types and sources. Of 237 surveys returned, 118 complete responses were analyzed (36.2% response rate). Usage logs from the learning platform for an entire semester were processed to provide estimates of first-year student resource use on an individual and cohort-wide basis according to method of access, resource type, and learning event. According to the survey data, students accessed learning resources via the learning platform several times per week on average, slightly more often than they did for resources from other online sources. Google and Wikipedia were the most frequently used nonuniversity sites, while scholarly information sites (eg, online journals and scholarly databases) were accessed

  12. Investigation of blended learning video resources to teach health students clinical skills: An integrative review.

    Science.gov (United States)

    Coyne, Elisabeth; Rands, Hazel; Frommolt, Valda; Kain, Victoria; Plugge, Melanie; Mitchell, Marion

    2018-04-01

    The aim of this review is to inform future educational strategies by synthesising research related to blended learning resources using simulation videos to teach clinical skills for health students. An integrative review methodology was used to allow for the combination of diverse research methods to better understand the research topic. This review was guided by the framework described by Whittemore and Knafl (2005), DATA SOURCES: Systematic search of the following databases was conducted in consultation with a librarian using the following databases: SCOPUS, MEDLINE, COCHRANE, PsycINFO databases. Keywords and MeSH terms: clinical skills, nursing, health, student, blended learning, video, simulation and teaching. Data extracted from the studies included author, year, aims, design, sample, skill taught, outcome measures and findings. After screening the articles, extracting project data and completing summary tables, critical appraisal of the projects was completed using the Mixed Methods Appraisal Tool (MMAT). Ten articles met all the inclusion criteria and were included in this review. The MMAT scores varied from 50% to 100%. Thematic analysis was undertaken and we identified the following three themes: linking theory to practice, autonomy of learning and challenges of developing a blended learning model. Blended learning allowed for different student learning styles, repeated viewing, and enabled links between theory and practice. The video presentation needed to be realistic and culturally appropriate and this required both time and resources to create. A blended learning model, which incorporates video-assisted online resources, may be a useful tool to teach clinical skills to students of health including nursing. Blended learning not only increases students' knowledge and skills, but is often preferred by students due to its flexibility. Copyright © 2018 Elsevier Ltd. All rights reserved.

  13. Automated Library Networking in American Public Community College Learning Resources Centers.

    Science.gov (United States)

    Miah, Adbul J.

    1994-01-01

    Discusses the need for community colleges to assess their participation in automated library networking systems (ALNs). Presents results of questionnaires sent to 253 community college learning resource center directors to determine their use of ALNs. Reviews benefits of automation and ALN activities, planning and communications, institution size,…

  14. Planning for the Digital Classroom and Distributed Learning: Policies and Planning for Online Instructional Resources

    Science.gov (United States)

    McGee, Patricia; Diaz, Veronica

    2005-01-01

    In an era of state budget cuts and a tight economy, distributed learning is often seen as a way to address the needs of colleges and universities looking for additional revenue sources. Likewise, budding virtual universities, consortia, and corporate partnerships are now providing new ways for institutions to share resources across campuses. The…

  15. Exploring the Learning Problems and Resource Usage of Undergraduate Industrial Design Students in Design Studio Courses

    Science.gov (United States)

    Chen, Wenzhi

    2016-01-01

    Design is a powerful weapon for modern companies so it is important to have excellent designers in the industry. The purpose of this study is to explore the learning problems and the resources that students use to overcome problems in undergraduate industrial design studio courses. A survey with open-type questions was conducted to collect data.…

  16. Introduction to the papers of TWG16: Learning Mathematics with Technology and Other Resources

    NARCIS (Netherlands)

    Drijvers, P.H.M.; Faggiano, Eleonora; Geraniou, Eirini; Weigand, Hans-Georg

    2017-01-01

    The use of technology and other resources for mathematical learning is a current issue in the field of mathematics education and lags behind the rapid advances in Information and Communication Technology. Technological developments offer opportunities, which are not straightforward to exploit in

  17. Technological Change in the Workplace: A Statewide Survey of Community College Library and Learning Resources Personnel.

    Science.gov (United States)

    Poole, Carolyn E.; Denny, Emmett

    2001-01-01

    Discussion of the effects of technostress on library personnel focuses on an investigation that examined how employees in Florida community college libraries and learning resources centers are dealing with technological change in their work environment. Considers implications for planning and implementing technological change and includes…

  18. An Assessment of Resource Availability for Problem Based Learning in a Ghanaian University Setting

    Science.gov (United States)

    Okyere, Gabriel Asare; Tawiah, Richard; Lamptey, Richard Bruce; Oduro, William; Thompson, Michael

    2017-01-01

    Purpose: The purpose of this paper is to assess the differences pertaining to the resources presently accessible for problem-based learning (PBL) among six colleges of Kwame Nkrumah University of Science and Technology (KNUST) in Ghana. Design/methodology/approach: Data for the study are the cross-sectional type drawn from 1,020 students. Poisson…

  19. Empowering Teachers to Author Multimedia Learning Resources That Support Students' Critical Thinking

    Science.gov (United States)

    Holley, Debbie; Boyle, Tom

    2012-01-01

    Students studying Marketing, Fashion, Public Relations, Advertising and similar subjects need to develop a "critical eye" in relation to images, media and digital technologies. This project aims to empower teachers to develop multimedia learning resources that would support students engaging in this essential activity. Developing such…

  20. Fostering postgraduate student engagement: online resources supporting self-directed learning in a diverse cohort

    Directory of Open Access Journals (Sweden)

    Luciane V. Mello

    2016-03-01

    Full Text Available The research question for this study was: ‘Can the provision of online resources help to engage and motivate students to become self-directed learners?’ This study presents the results of an action research project to answer this question for a postgraduate module at a research-intensive university in the United Kingdom. The analysis of results from the study was conducted dividing the students according to their programme degree – Masters or PhD – and according to their language skills. The study indicated that the online resources embedded in the module were consistently used, and that the measures put in place to support self-directed learning (SDL were both perceived and valued by the students, irrespective of their programme or native language. Nevertheless, a difference was observed in how students viewed SDL: doctoral students seemed to prefer the approach and were more receptive to it than students pursuing their Masters degree. Some students reported that the SDL activity helped them to achieve more independence than did traditional approaches to teaching. Students who engaged with the online resources were rewarded with higher marks and claimed that they were all the more motivated within the module. Despite the different learning experiences of the diverse cohort, the study found that the blended nature of the course and its resources in support of SDL created a learning environment which positively affected student learning.

  1. Print to Pixels: the Implications for the Development of Learning Resources

    NARCIS (Netherlands)

    Griffiths, David

    2006-01-01

    Littlejohn (Littlejohn 2003) describes how numerous national and international initiatives have been funded to investigate ways in which digital learning resources might be developed, shared and reused by teachers and learners around the world (so as to benefit from economies of scale). The idea of

  2. YouTube: An Innovative Learning Resource for College Health Education Courses

    Science.gov (United States)

    Burke, Sloane C.; Snyder, Shonna L.

    2008-01-01

    As college health education professors attempt to engage the Web 2.0 generation of learners, use of innovative video technology resources such as YouTube can be integrated to provide relevant and targeted information to supplement college course content, create a sense of "classroom community," and enrich the learning environment for all…

  3. Wheelbarrows full of frogs: social learning in rural resource management : international research and reflections

    NARCIS (Netherlands)

    Leeuwis, C.; Pyburn, R.; Röling, N.G.

    2002-01-01

    Standing in contrast to technological interventions and economics, ‘social learning’ reflects the idea that the shared learning of interdependent stakeholders is a key mechanism for arriving at more desirable solutions to complex problems in rural environments. Degradation of natural resources,

  4. Professional Learning in Human Resource Management: Problematising the Teaching of Reflective Practice

    Science.gov (United States)

    Griggs, V.; Holden, R.; Rae, J.; Lawless, A.

    2015-01-01

    Reflection and reflective practice are much discussed aspects of professional education. This paper conveys our efforts to problematise teaching reflective practice in human resources (HR) education. The research, on which the paper is based, engages with stakeholders involved in the professional learning and education of reflective practice in…

  5. Challenges Implementing Work-Integrated Learning in Human Resource Management University Courses

    Science.gov (United States)

    Rook, Laura

    2017-01-01

    The examination of work-integrated learning (WIL) programs in the undergraduate Human Resource Management (HRM) curriculum is an area under-represented in the Australian literature. This paper identifies the challenges faced in implementing WIL into the HRM undergraduate curriculum. Qualitative semi-structured interviews were conducted with 38…

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

    Science.gov (United States)

    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…

  7. Human Resource Development to Facilitate Experiential Learning: The Case of Yahoo Japan

    Science.gov (United States)

    Matsuo, Makoto

    2015-01-01

    Although work experiences are recognized as important mechanisms for developing leaders in organizations, existing research has focused primarily on work assignments rather than on human resource development (HRD) systems that promote experiential learning of managers. The primary goal of this study was to develop an HRD model for facilitating…

  8. Resource-Based Learning and Class Organisation for Adult EFL Learners.

    Science.gov (United States)

    Gewirtz, Agatha

    1979-01-01

    A list is presented of special factors pertaining to English as a foreign language class in England that provide strong arguments for organizing them along resource-based learning situations. Students can be in control of their studies, engaging in independent, individual work. (SW)

  9. 75 FR 13259 - NOAA Is Hosting a Series of Informational Webinars for Individuals and Organizations To Learn...

    Science.gov (United States)

    2010-03-19

    ... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration NOAA Is Hosting a Series of Informational Webinars for Individuals and Organizations To Learn About the Proposed NOAA Climate Service AGENCY: Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration (NOAA...

  10. Students creative thinking skills in solving two dimensional arithmetic series through research-based learning

    Science.gov (United States)

    Tohir, M.; Abidin, Z.; Dafik; Hobri

    2018-04-01

    Arithmetics is one of the topics in Mathematics, which deals with logic and detailed process upon generalizing formula. Creativity and flexibility are needed in generalizing formula of arithmetics series. This research aimed at analyzing students creative thinking skills in generalizing arithmetic series. The triangulation method and research-based learning was used in this research. The subjects were students of the Master Program of Mathematics Education in Faculty of Teacher Training and Education at Jember University. The data was collected by giving assignments to the students. The data collection was done by giving open problem-solving task and documentation study to the students to arrange generalization pattern based on the dependent function formula i and the function depend on i and j. Then, the students finished the next problem-solving task to construct arithmetic generalization patterns based on the function formula which depends on i and i + n and the sum formula of functions dependent on i and j of the arithmetic compiled. The data analysis techniques operative in this study was Miles and Huberman analysis model. Based on the result of data analysis on task 1, the levels of students creative thinking skill were classified as follows; 22,22% of the students categorized as “not creative” 38.89% of the students categorized as “less creative” category; 22.22% of the students categorized as “sufficiently creative” and 16.67% of the students categorized as “creative”. By contrast, the results of data analysis on task 2 found that the levels of students creative thinking skills were classified as follows; 22.22% of the students categorized as “sufficiently creative”, 44.44% of the students categorized as “creative” and 33.33% of the students categorized as “very creative”. This analysis result can set the basis for teaching references and actualizing a better teaching model in order to increase students creative thinking skills.

  11. How Important Are Student-Selected versus Instructor-Selected Literature Resources for Students' Learning and Motivation in Problem-Based Learning?

    Science.gov (United States)

    Wijnia, Lisette; Loyens, Sofie M.; Derous, Eva; Schmidt, Henk G.

    2015-01-01

    In problem-based learning students are responsible for their own learning process, which becomes evident when they must act independently, for example, when selecting literature resources for individual study. It is a matter of debate whether it is better to have students select their own literature resources or to present them with a list of…

  12. Sustainability in Health care by allocating resources effectively (SHARE) 1: introducing a series of papers reporting an investigation of disinvestment in a local healthcare setting

    OpenAIRE

    Harris, Claire; Green, Sally; Ramsey, Wayne; Allen, Kelly; King, Richard

    2017-01-01

    This is the first in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE). The SHARE Program is an investigation of concepts, opportunities, methods and implications for evidence-based investment and disinvestment in health technologies and clinical practices in a local healthcare setting. The papers in this series are targeted at clinicians, managers, policy makers, health service researchers and implementation scientists working in this cont...

  13. A Framework and Algorithms for Multivariate Time Series Analytics (MTSA): Learning, Monitoring, and Recommendation

    Science.gov (United States)

    Ngan, Chun-Kit

    2013-01-01

    Making decisions over multivariate time series is an important topic which has gained significant interest in the past decade. A time series is a sequence of data points which are measured and ordered over uniform time intervals. A multivariate time series is a set of multiple, related time series in a particular domain in which domain experts…

  14. An online knowledge resource and questionnaires as a continuing pharmacy education tool to document reflective learning.

    Science.gov (United States)

    Budzinski, Jason W; Farrell, Barbara; Pluye, Pierre; Grad, Roland M; Repchinsky, Carol; Jovaisas, Barbara; Johnson-Lafleur, Janique

    2012-06-18

    To assess the use of an electronic knowledge resource to document continuing education activities and reveal educational needs of practicing pharmacists. Over a 38-week period, 67 e-mails were sent to 6,500 Canadian Pharmacists Association (CPhA) members. Each e-mail contained a link to an e-Therapeutics+ Highlight, a factual excerpt of selected content from an online drug and therapeutic knowledge resource. Participants were then prompted to complete a pop-up questionnaire. Members completed 4,140 questionnaires. Participants attributed the information they learned in the Highlights to practice improvements (50.4%), learning (57.0%), and motivation to learn more (57.4%). Reading Highlight excerpts and completing Web-based questionnaires is an effective method of continuing education that could be easily documented and tracked, making it an effective tool for use with e-portfolios.

  15. Taxonomic classification of world map units in crop producing areas of Argentina and Brazil with representative US soil series and major land resource areas in which they occur

    Science.gov (United States)

    Huckle, H. F. (Principal Investigator)

    1980-01-01

    The most probable current U.S. taxonomic classification of the soils estimated to dominate world soil map units (WSM)) in selected crop producing states of Argentina and Brazil are presented. Representative U.S. soil series the units are given. The map units occurring in each state are listed with areal extent and major U.S. land resource areas in which similar soils most probably occur. Soil series sampled in LARS Technical Report 111579 and major land resource areas in which they occur with corresponding similar WSM units at the taxonomic subgroup levels are given.

  16. Social media as an open-learning resource in medical education: current perspectives.

    Science.gov (United States)

    Sutherland, S; Jalali, A

    2017-01-01

    Numerous studies evaluate the use of social media as an open-learning resource in education, but there is a little published knowledge of empirical evidence that such open-learning resources produce educative outcomes, particularly with regard to student performance. This study undertook a systematic review of the published literature in medical education to determine the state of the evidence as to empirical studies that conduct an evaluation or research regarding social media and open-learning resources. The authors searched MEDLINE, ERIC, Embase, PubMed, Scopus, and Google Scholar from 2012 to 2017. This search included using keywords related to social media, medical education, research, and evaluation, while restricting the search to peer reviewed, English language articles only. To meet inclusion criteria, manuscripts had to employ evaluative methods and undertake empirical research. Empirical work designed to evaluate the impact of social media as an open-learning resource in medical education is limited as only 13 studies met inclusion criteria. The majority of these studies used undergraduate medical education as the backdrop to investigate open-learning resources, such as Facebook, Twitter, and YouTube. YouTube appears to have little educational value due to the unsupervised nature of content added on a daily basis. Overall, extant reviews have demonstrated that we know a considerable amount about social media use, although to date, its impacts remain unclear. There is a paucity of outcome-based, empirical studies assessing the impact of social media in medical education. The few empirical studies identified tend to focus on evaluating the affective outcomes of social media and medical education as opposed to understanding any linkages between social media and performance outcomes. Given the potential for social media use in medical education, more empirical evaluative studies are required to determine educational value.

  17. Understanding Motivational System in Open Learning: Learners' Engagement with a Traditional Chinese-Based Open Educational Resource System

    Science.gov (United States)

    Huang, Wenhao David; Wu, Chorng-Guang

    2017-01-01

    Learning has embraced the "open" process in recent years, as many educational resources are made available for free online. Existing research, however, has not provided sufficient evidence to systematically improve open learning interactions and engagement in open educational resource (OER) systems. This deficiency presents two…

  18. Using Ontologies for the E-learning System in Healthcare Human Resources Management

    Directory of Open Access Journals (Sweden)

    Lidia BAJENARU

    2015-01-01

    Full Text Available This paper provides a model for the use of ontology in e-learning systems for structuring educational content in the domain of healthcare human resources management (HHRM in Romania. In this respect we propose an effective method to improve the learning system by providing personalized learning paths created using ontology and advanced educational strategies to provide a personalized learning content for the medical staff. Personalization of e-learning process for the chosen target group will be achieved by setting up learning path for each user according to his profile. This will become possible using: domain ontology, learning objects, modeling student knowledge. Developing an ontology-based system for competence management allows complex interactions, providing intelligent interfacing. This is a new approach for the healthcare system managers in permanent training based on e-learning technologies and specific ontologies in a complex area that needs urgent modernization and efficiency to meet the public health economic, social and political context of Romania.

  19. Learning Resources Centers and Their Effectiveness on Students’ Learning Outcomes: A Case-Study of an Omani Higher Education Institute

    Directory of Open Access Journals (Sweden)

    Peyman Nouraey

    2017-06-01

    Full Text Available The study aimed at investigating the use and effectiveness of a learning resources center, which is generally known as a library. In doing so, eight elements were investigated through an author-designed questionnaire. Each of these elements tended to delve into certain aspects of the afore-mentioned center. These elements included a students’ visits frequency, b availability of books related to modules, c center facilities, d use of discussion rooms, e use of online resources, f staff cooperation, g impact on knowledge enhancement, and, h recommendation to peers. Eighty undergraduate students participated in the study. Participants were then asked to read the statements carefully and choose one of the five responses provided, ranging from strongly agree to strongly disagree. Data were analyzed based on 5-point Likert Scale. Findings of the study revealed that participants were mostly in agreement with all eight statements provided in the questionnaire, which were interpreted as positive feedbacks from the students. Then, the frequencies of responses by the participants were reported. Finally, the results were compared and contrasted and related discussions on the effectiveness of libraries and learning resources centers on students’ learning performances and outcomes were made.

  20. An Introduction to "My Environmental Education Evaluation Resource Assistant" (MEERA), a Web-Based Resource for Self-Directed Learning about Environmental Education Program Evaluation

    Science.gov (United States)

    Zint, Michaela

    2010-01-01

    My Environmental Education Evaluation Resource Assistant or "MEERA" is a web-site designed to support environmental educators' program evaluation activities. MEERA has several characteristics that set it apart from other self-directed learning evaluation resources. Readers are encouraged to explore the site and to reflect on the role that…

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

    Science.gov (United States)

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

    2017-09-01

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

  2. Transportation Energy Futures Series: Alternative Fuel Infrastructure Expansion: Costs, Resources, Production Capacity, and Retail Availability for Low-Carbon Scenarios

    Energy Technology Data Exchange (ETDEWEB)

    Melaina, M. W.; Heath, G.; Sandor, D.; Steward, D.; Vimmerstedt, L.; Warner, E.; Webster, K. W.

    2013-04-01

    Achieving the Department of Energy target of an 80% reduction in greenhouse gas emissions by 2050 depends on transportation-related strategies combining technology innovation, market adoption, and changes in consumer behavior. This study examines expanding low-carbon transportation fuel infrastructure to achieve deep GHG emissions reductions, with an emphasis on fuel production facilities and retail components serving light-duty vehicles. Three distinct low-carbon fuel supply scenarios are examined: Portfolio: Successful deployment of a range of advanced vehicle and fuel technologies; Combustion: Market dominance by hybridized internal combustion engine vehicles fueled by advanced biofuels and natural gas; Electrification: Market dominance by electric drive vehicles in the LDV sector, including battery electric, plug-in hybrid, and fuel cell vehicles, that are fueled by low-carbon electricity and hydrogen. A range of possible low-carbon fuel demand outcomes are explored in terms of the scale and scope of infrastructure expansion requirements and evaluated based on fuel costs, energy resource utilization, fuel production infrastructure expansion, and retail infrastructure expansion for LDVs. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored transportation-related strategies for abating GHGs and reducing petroleum dependence.

  3. Digital Media for STEM Learning: Developing scientific practice skills in the K-12 STEM classroom with resources from WGBH and PBS LearningMedia

    Science.gov (United States)

    Foster, J.; Connolly, R.

    2017-12-01

    WGBH's "Bringing the Universe to America's Classrooms" project is a 5-year effort to design, produce and evaluate digital media tools and resources that support scientific practice skills in diverse K-12 learners. Resources leverage data and content from NASA and WGBH signature programs, like NOVA, into sound instructional experiences that provide K-12 STEM teachers with free, quality resources for teaching topics in the Earth and Space Sciences. Resources address the content and practices in the new K-12 Framework for Science Education and are aligned with the NGSS. Participants will learn about design strategies, findings from our evaluation efforts, and how to access free resources on PBS LearningMedia.

  4. Novel Machine Learning-Based Techniques for Efficient Resource Allocation in Next Generation Wireless Networks

    KAUST Repository

    AlQuerm, Ismail A.

    2018-02-21

    There is a large demand for applications of high data rates in wireless networks. These networks are becoming more complex and challenging to manage due to the heterogeneity of users and applications specifically in sophisticated networks such as the upcoming 5G. Energy efficiency in the future 5G network is one of the essential problems that needs consideration due to the interference and heterogeneity of the network topology. Smart resource allocation, environmental adaptivity, user-awareness and energy efficiency are essential features in the future networks. It is important to support these features at different networks topologies with various applications. Cognitive radio has been found to be the paradigm that is able to satisfy the above requirements. It is a very interdisciplinary topic that incorporates flexible system architectures, machine learning, context awareness and cooperative networking. Mitola’s vision about cognitive radio intended to build context-sensitive smart radios that are able to adapt to the wireless environment conditions while maintaining quality of service support for different applications. Artificial intelligence techniques including heuristics algorithms and machine learning are the shining tools that are employed to serve the new vision of cognitive radio. In addition, these techniques show a potential to be utilized in an efficient resource allocation for the upcoming 5G networks’ structures such as heterogeneous multi-tier 5G networks and heterogeneous cloud radio access networks due to their capability to allocate resources according to real-time data analytics. In this thesis, we study cognitive radio from a system point of view focusing closely on architectures, artificial intelligence techniques that can enable intelligent radio resource allocation and efficient radio parameters reconfiguration. We propose a modular cognitive resource management architecture, which facilitates a development of flexible control for

  5. Defining the Future or Reliving the Past? Unions, Employers, and the Challenge of Workplace Learning. Information Series No. 380.

    Science.gov (United States)

    Harris, Howard

    This document examines the current state of workplace learning within the context of the changing workplace of the late 20th century. The document begins with an overview of the evolution of employer-dominated training from Taylorism to the rise of human resource development during the late 1970s and 1980s. The development of the concepts of…

  6. The Motivation Impact of Open Educational Resources Utilization on Physics Learning Using Quipper School App

    Directory of Open Access Journals (Sweden)

    Dwi SULISWORO

    2017-10-01

    Full Text Available The distribution of the education quality in Indonesia is relatively uneven. This affects the quality of secondary school graduates. On the other hand, the national growth of Information Communication Technology usage in Indonesia is very high, including the use of mobile technology. This is an opportunity for the application of OER (Open Educational Resources in learning. This study aims to look at the impact of the application of the concept of blended learning OER to motivate students, especially in learning physics. The LMS used is Quipper School. This research is the quasy experiment using post test only for control group design. ARCS (Attention, Relevance, Confidence, and Satisfaction models used in this study to observe the attention factor, relevance, confidence, and satisfaction. The analysis technique used is the analysis of variance (ANOVA. From this research, it is known that the application of the concept of OER in learning, will increase the motivation on the aspects of attention, relevance, and the confidence of the students. Meanwhile, the aspect of satisfaction on learning tends to be the same between applying the concept of OER when compared to the conventional learning face-to-face in the classroom. These findings indicate a positive impact of the application of the concept of OER in learning to student motivation.

  7. Correlating students' educational background, study habits, and resource usage with learning success in medical histology.

    Science.gov (United States)

    Selvig, Daniel; Holaday, Louisa W; Purkiss, Joel; Hortsch, Michael

    2015-01-01

    Histology is a traditional core basic science component of most medical and dental education programs and presents a didactic challenge for many students. Identifying students that are likely to struggle with histology would allow for early intervention to support and encourage their learning success. To identify student characteristics that are associated with learning success in histology, three first-year medical school classes at the University of Michigan (>440 students) were surveyed about their educational background, attitudes toward learning histology, and their use of histology learning strategies and resources. These characteristics were linked with the students' quiz and examination results in histology. Students who reported previous experience in histology or pathology and hold science or biomedical science college degrees usually did well in histology. Learning success in histology was also positively associated with students' perception that histology is important for their professional career. Other positive indicators were in-person participation in teacher-guided learning experiences, specifically lecture and laboratory sessions. In contrast, students who relied on watching histology lectures by video rather than going to lectures in-person performed significantly worse. These characteristics and learning strategies of students who did well in this very visual and challenging study subject should be of help for identifying and advising students early, who might be at risk of failing a histology course or component. © 2014 American Association of Anatomists.

  8. Online dissection audio-visual resources for human anatomy: Undergraduate medical students' usage and learning outcomes.

    Science.gov (United States)

    Choi-Lundberg, Derek L; Cuellar, William A; Williams, Anne-Marie M

    2016-11-01

    In an attempt to improve undergraduate medical student preparation for and learning from dissection sessions, dissection audio-visual resources (DAVR) were developed. Data from e-learning management systems indicated DAVR were accessed by 28% ± 10 (mean ± SD for nine DAVR across three years) of students prior to the corresponding dissection sessions, representing at most 58% ± 20 of assigned dissectors. Approximately 50% of students accessed all available DAVR by the end of semester, while 10% accessed none. Ninety percent of survey respondents (response rate 58%) generally agreed that DAVR improved their preparation for and learning from dissection when used. Of several learning resources, only DAVR usage had a significant positive correlation (P = 0.002) with feeling prepared for dissection. Results on cadaveric anatomy practical examination questions in year 2 (Y2) and year 3 (Y3) cohorts were 3.9% (P learning outcomes of more students. Anat Sci Educ 9: 545-554. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

  9. Interprofessional education for the quality use of medicines: designing authentic multimedia learning resources.

    Science.gov (United States)

    Levett-Jones, Tracy; Gilligan, Conor; Lapkin, Samuel; Hoffman, Kerry

    2012-11-01

    It is claimed that health care students who learn together will be better prepared for contemporary practice and more able to work collaboratively and communicate effectively. In Australia, although recognised as important for preparing nursing, pharmacy and medical students for their roles in the medication team, interprofessional education is seldom used for teaching medication safety. This is despite evidence indicating that inadequate communication between health care professionals is the primary issue in the majority of medication errors. It is suggested that the pragmatic constraints inherent in university timetables, curricula and contexts limit opportunities for health professional students to learn collaboratively. Thus, there is a need for innovative approaches that will allow nursing, medical and pharmacy students to learn about and from other disciplines even when they do not have the opportunity to learn with them. This paper describes the development of authentic multimedia resources that allow for participative, interactive and engaging learning experiences based upon sound pedagogical principles. These resources provide opportunities for students to critically examine clinical scenarios where medication safety is, or has the potential to be compromised and to develop skills in interprofessional communication that will prepare them to manage these types of situations in clinical practice. Copyright © 2011 Elsevier Ltd. All rights reserved.

  10. Reference framework for integrating web resources as e-learning services in .LRN

    Directory of Open Access Journals (Sweden)

    Fabinton Sotelo Gómez

    2015-11-01

    Full Text Available The learning management platforms (LMS as Dot LRN (.LRN have been widely disseminated and used as a teaching tool. However, despite its great potential, most of these platforms do not allow easy integration of common services on the Web. Integration of external resources in LMS is critical to extend the quantity and quality of educational services LMS. This article presents a set of criteria and architectural guidelines for the integration of Web resources for e-learning in the LRN platform. To this end, three steps are performed: first; the possible integration technologies to be used are described, second; the Web resources that provide educational services and can be integrated into LMS platforms are analyzed, finally; some architectural aspects of the relevant platform are identified for integration. The main contributions of this paper are: a characterization of Web resources and educational services available today on the Web; and the definition of criteria and guidelines for the integration of Web resources to .LRN.

  11. Navigation as a New Form of Search for Agricultural Learning Resources in Semantic Repositories

    Science.gov (United States)

    Cano, Ramiro; Abián, Alberto; Mena, Elena

    Education is essential when it comes to raise public awareness on the environmental and economic benefits of organic agriculture and agroecology (OA & AE). Organic.Edunet, an EU funded project, aims at providing a freely-available portal where learning contents on OA & AE can be published and accessed through specialized technologies. This paper describes a novel mechanism for providing semantic capabilities (such as semantic navigational queries) to an arbitrary set of agricultural learning resources, in the context of the Organic.Edunet initiative.

  12. Dynamic pricing and automated resource allocation for complex information services reinforcement learning and combinatorial auctions

    CERN Document Server

    Schwind, Michael; Fandel, G

    2007-01-01

    Many firms provide their customers with online information products which require limited resources such as server capacity. This book develops allocation mechanisms that aim to ensure an efficient resource allocation in modern IT-services. Recent methods of artificial intelligence, such as neural networks and reinforcement learning, and nature-oriented optimization methods, such as genetic algorithms and simulated annealing, are advanced and applied to allocation processes in distributed IT-infrastructures, e.g. grid systems. The author presents two methods, both of which using the users??? w

  13. Developing Enterprise E-Learning at Kodak.

    Science.gov (United States)

    Gold, Martha

    2003-01-01

    The third in a five-part series of case studies on enterprisewide electronic learning describes how Kodak's approach to a global learning management system integrated 80 discrete human resource systems into one. (JOW)

  14. Strategic Resource Use for Learning: A Self-Administered Intervention That Guides Self-Reflection on Effective Resource Use Enhances Academic Performance.

    Science.gov (United States)

    Chen, Patricia; Chavez, Omar; Ong, Desmond C; Gunderson, Brenda

    2017-06-01

    Many educational policies provide learners with more resources (e.g., new learning activities, study materials, or technologies), but less often do they address whether students are using these resources effectively. We hypothesized that making students more self-reflective about how they should approach their learning with the resources available to them would improve their class performance. We designed a novel Strategic Resource Use intervention that students could self-administer online and tested its effects in two cohorts of a college-level introductory statistics class. Before each exam, students randomly assigned to the treatment condition strategized about which academic resources they would use for studying, why each resource would be useful, and how they would use their resources. Students randomly assigned to the treatment condition reported being more self-reflective about their learning throughout the class, used their resources more effectively, and outperformed students in the control condition by an average of one third of a letter grade in the class.

  15. Awarding global grades in OSCEs: evaluation of a novel eLearning resource for OSCE examiners.

    Science.gov (United States)

    Gormley, Gerard J; Johnston, Jenny; Thomson, Clare; McGlade, Kieran

    2012-01-01

    A novel online resource has been developed to aid OSCE examiner training comprising a series of videos of OSCE performances that allow inter-examiner comparison of global grade decisions. To evaluate this training resource in terms of usefulness and ability to improve examiner confidence in awarding global grades in OSCEs. Data collected from the first 200 users included global grades awarded, willingness to change grades following peer comparison and confidence in awarding grades before and after training. Most (86.5%) agreed that the resource was useful in developing global grade scoring ability in OSCEs, with a significant improvement in confidence in awarding grades after using the training package (p<0.001). This is a useful and effective online training package. As an adjunct to traditional training it offers a practical solution to the problem of availability of examiners.

  16. Preparation of human resources for future nuclear energy using FBNR as the instrument of learning

    International Nuclear Information System (INIS)

    Sefidvash, Farhang; Espinoza, Patricio; Guerrero, Victor Hugo

    2015-01-01

    An increasing number of developing countries are showing interest to become the emerging countries to nuclear energy. Most of these countries lack human resources and adequate infrastructures to enter such a venture. The principle objective of activities of FBNR Group is to train human resources for the countries that at the present lack the necessary conditions, but aim at the future clean and safe nuclear energy through the fourth generation and INPRO compatible nuclear reactors. The preparation for the future nuclear energy is done through development of innovative nuclear reactor that meets the INPRO philosophies and criteria. These countries may or may not have decided as yet to utilize nuclear energy, but are interested to gain a strong educational foundation for their future. The research and development of a small innovative nuclear reactor FBNR is used as the instrument for learning. The young scientists will learn how to be innovative with the vision of INPRO philosophy and criteria.

  17. Preparation of human resources for future nuclear energy using FBNR as the instrument of learning

    Energy Technology Data Exchange (ETDEWEB)

    Sefidvash, Farhang; Espinoza, Patricio; Guerrero, Victor Hugo [Escuela Politecnica Nacional (EPN), Quito (Ecuador); and others

    2015-11-15

    An increasing number of developing countries are showing interest to become the emerging countries to nuclear energy. Most of these countries lack human resources and adequate infrastructures to enter such a venture. The principle objective of activities of FBNR Group is to train human resources for the countries that at the present lack the necessary conditions, but aim at the future clean and safe nuclear energy through the fourth generation and INPRO compatible nuclear reactors. The preparation for the future nuclear energy is done through development of innovative nuclear reactor that meets the INPRO philosophies and criteria. These countries may or may not have decided as yet to utilize nuclear energy, but are interested to gain a strong educational foundation for their future. The research and development of a small innovative nuclear reactor FBNR is used as the instrument for learning. The young scientists will learn how to be innovative with the vision of INPRO philosophy and criteria.

  18. A trans-disciplinary review of deep learning research for water resources scientists

    OpenAIRE

    Shen, Chaopeng

    2017-01-01

    Deep learning (DL), a new-generation artificial neural network research, has made profound strides in recent years. This review paper is intended to provide water resources scientists with a simple technical overview, trans-disciplinary progress update, and potentially inspirations about DL. Effective architectures, more accessible data, advances in regularization, and new computing power enabled the success of DL. A trans-disciplinary review reveals that DL is rapidly transforming myriad sci...

  19. Blended Learning in Chemistry Laboratory Courses: Enhancing Learning Outcomes and Aligning Student Needs with Available Resources

    Science.gov (United States)

    Burchett, Shayna Brianne

    2016-01-01

    Freshman science courses are intended to prepare students for the rigor and expectations of subsequent college science. While secondary education aims to prepare students for the college curriculum, many incoming freshman lack the sense of responsibility for their own learning that is essential for success in a college-level course. The freshman…

  20. Local wisdom of Ngata Toro community in utilizing forest resources as a learning source of biology

    Science.gov (United States)

    Yuliana, Sriyati, Siti; Sanjaya, Yayan

    2017-08-01

    Indonesian society is a pluralistic society with different cultures and local potencies that exist in each region. Some of local community still adherethe tradition from generation to generation in managing natural resources wisely. The application of the values of local wisdom is necessary to teach back to student to be more respect the culture and local potentials in the region. There are many ways developing student character by exploring local wisdom and implementing them as a learning resources. This study aims at revealing the values of local wisdom Ngata Toro indigenous people of Central Sulawesi Province in managing forest as a source of learning biology. This research was conducted by in-depth interviews, participant non-observation, documentation studies, and field notes. The data were analyzed with triangulation techniques by using a qualitative interaction analysis that is data collection, data reduction, and data display. Ngata Toro local community manage forest by dividing the forest into several zones, those arewana ngkiki, wana, pangale, pahawa pongko, oma, and balingkea accompanied by rules in the management of result-based forest conservation and sustainable utilization. By identifying the purpose of zonation and regulation of the forest, such values as the value of environmental conservation, balance value, sustainable value, and the value of mutual cooperation. These values are implemented as a biological learning resource which derived from the competences standard of analyze the utilization and conservation of the environment.

  1. Usability testing of two e-learning resources: methods to maximize potential for clinician use.

    Science.gov (United States)

    Menon, Anita; Korner-Bitensky, Nicol; Chignell, Mark; Straus, Sharon

    2012-04-01

    Rigorous usability testing of e-learn-ing resources is an important prerequisite to their wide-spread use among clinicians. This study demonstrates the application of an evidence-based approach to usability testing of two stroke-related e-learning resources (StrokEngine). 14 stroke rehabilitation clinicians (occupational therapists and physiotherapists) from Ontario, Canada participated in a 1.5 h in-person testing session. Clinicians navigated StrokEngine in search of information to answer questions on stroke assessment/intervention. Their search patterns were observed and clinicians provided verbal/written feedback about StrokEngine. Content analysis was used to generate themes and categorize them under two broad categories: facilitators and barriers to use. Five key facilitators and three key barriers to Strok-Engine use were identified and related to screen format, layout/organization, ease of navigation, quality of content, likelihood of using StrokEngine in the future, and system dysfunctions. All 14 clinicians were very or extremely satisfied with the layout/organization, quality and clinical relevance of the content, stating that they were likely to use StrokEngine in the future. All identified barriers from this study were addressed with website modifications in order to maximize the usability and navigability of StrokEngine. This rigorous methodology for usability testing can be applied during the design process of any e-learning resource.

  2. International Students Using Online Information Resources to Learn: Complex Experience and Learning Needs

    Science.gov (United States)

    Hughes, Hilary

    2013-01-01

    This paper reports the findings of a qualitative study that investigated 25 international students' use of online information resources for study purposes at two Australian universities. Using an expanded critical incident approach, the study viewed international students through an information literacy lens, as information-using learners. The…

  3. Practice stories in natural resource management continuing professional education: springboards for learning

    DEFF Research Database (Denmark)

    Stummann, Cathy Brown

    2014-01-01

    in supporting professional learning of new concepts. These uses of practice stories are not evident in public natural resource management (NRM) continuing professional education. In light of greater public involvement in NRM practice over the last 20 years, however, the use of practice stories could now...... practice. Feedback from workshop participants suggests that practice stories may be able to support NRM professionals in reflecting on previous experiences, learning from colleague's practice experiences and serving as a springboard for learning by fostering linkages between social science knowledge......The use of stories from professional experience in continuing professional education has been on the rise in many fields, often aimed at bolstering capacity through sharing professional knowledge and/or supporting reflective practice. Practice stories are also suggested to be beneficial...

  4. The Concept Maps as a Didactic Resource Tool of Meaningful Learning in Astronomy Themes

    Science.gov (United States)

    Silveira, Felipa Pacífico Ribeiro de Assis; Mendonça, Conceição Aparecida Soares

    2015-07-01

    This article presents the results of an investigation that sought to understand the performance of the conceptual map (MC) as a teaching resource facilitator of meaningful learning of scientific concepts on astronomical themes, developed with elementary school students. The methodology employed to obtain and process the data was based on a quantitative and qualitative approach. On the quantitative level we designed a quasi-experimental research with a control group that did not use the MC and an experimental group that used the MC, both being evaluated in the beginning and end of the process. In this case, the performance of both groups is displayed in a descriptive and analytical study. In the qualitative approach, the MCs were interpreted using the structuring and assigned meanings shared by the student during his/her presentation. The results demonstrated through the improvement of qualifications that the MC made a difference in conceptual learning and in certain skills revealed by learning indicators.

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

    Science.gov (United States)

    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.

  6. A palliative care resource for professional carers of people with learning disabilities.

    Science.gov (United States)

    Reddall, C

    2010-07-01

    People with learning disabilities who have a life-threatening illness, are as entitled as other members of the population to receive good palliative care in their home of choice. However, professional carers of people with learning disability are generally unaware of the meaning of palliative care, and how they can access palliative care support. More importantly, they may feel they are not capable of caring for a resident with a life-threatening illness in the home environment. This article uses a case study to help illustrate the value of compiling a resource booklet for professional carers of people with learning disabilities. By providing information on palliative care, that is easy to understand and easily accessible, professional carers of these people can have a valuable resource which will enable them to provide general palliative care when needed. (I use the term professional carers to refer to carers who are paid to look after people with learning disabilities either in care homes, or in supported living homes in the general community).

  7. Interactional Resources for Quality Improvement: Learning From Participants Through a Qualitative Study.

    Science.gov (United States)

    Brooks, Joanna Veazey; Gorbenko, Ksenia; Bosk, Charles

    Implementing quality improvement in hospitals requires a multifaceted commitment from leaders, including financial, material, and personnel resources. However, little is known about the interactional resources needed for project implementation. The aim of this analysis was to identify the types of interactional support hospital teams sought in a surgical quality improvement project. Hospital site visits were conducted using a combination of observations, interviews, and focus groups to explore the implementation of a surgical quality improvement project. Twenty-six site visits were conducted between October 2012 and August 2014 at a total of 16 hospitals that agreed to participate. All interviews were recorded, transcribed, and coded for themes using inductive analysis. We interviewed 321 respondents and conducted an additional 28 focus groups. Respondents reported needing the following types of interactional support during implementation of quality improvement interventions: (1) a critical outside perspective on their implementation progress; (2) opportunities to learn from peers, especially around clinical innovations; and (3) external validation to help establish visibility for and commitment to the project. Quality improvement in hospitals is both a clinical endeavor and a social endeavor. Our findings show that teams often desire interactional resources as they implement quality improvement initiatives. In-person site visits can provide these resources while also activating emotional energy for teams, which builds momentum and sustainability for quality improvement work. Policymakers and quality improvement leaders will benefit from developing strategies to maximize interactional learning and feedback for quality improvement teams. Further research should investigate the most effective methods for meeting these needs.

  8. A Literature Survey of Early Time Series Classification and Deep Learning

    OpenAIRE

    Santos, Tiago; Kern, Roman

    2017-01-01

    This paper provides an overview of current literature on time series classification approaches, in particular of early time series classification. A very common and effective time series classification approach is the 1-Nearest Neighbor classier, with different distance measures such as the Euclidean or dynamic time warping distances. This paper starts by reviewing these baseline methods. More recently, with the gain in popularity in the application of deep neural networks to the eld of...

  9. Human Resources and Competitiveness. Report of the Committee on Human Resources, The President's Commission on Industrial Competitiveness. Research Report Series RR-87-27.

    Science.gov (United States)

    National Commission for Employment Policy (DOL), Washington, DC.

    Competitiveness is a function of a nation's resources and how effectively those resources are used relative to that nation's competitors. The people of a nation, with their knowledge, skills, and attitudes, determine how effectively technology, capital, and trade will be used to the nation's competitive advantage. The competitive challenge to the…

  10. Mobile learning for HIV/AIDS healthcare worker training in resource-limited settings

    Directory of Open Access Journals (Sweden)

    Zolfo Maria

    2010-09-01

    Full Text Available Abstract Background We present an innovative approach to healthcare worker (HCW training using mobile phones as a personal learning environment. Twenty physicians used individual Smartphones (Nokia N95 and iPhone, each equipped with a portable solar charger. Doctors worked in urban and peri-urban HIV/AIDS clinics in Peru, where almost 70% of the nation's HIV patients in need are on treatment. A set of 3D learning scenarios simulating interactive clinical cases was developed and adapted to the Smartphones for a continuing medical education program lasting 3 months. A mobile educational platform supporting learning events tracked participant learning progress. A discussion forum accessible via mobile connected participants to a group of HIV specialists available for back-up of the medical information. Learning outcomes were verified through mobile quizzes using multiple choice questions at the end of each module. Methods In December 2009, a mid-term evaluation was conducted, targeting both technical feasibility and user satisfaction. It also highlighted user perception of the program and the technical challenges encountered using mobile devices for lifelong learning. Results With a response rate of 90% (18/20 questionnaires returned, the overall satisfaction of using mobile tools was generally greater for the iPhone. Access to Skype and Facebook, screen/keyboard size, and image quality were cited as more troublesome for the Nokia N95 compared to the iPhone. Conclusions Training, supervision and clinical mentoring of health workers are the cornerstone of the scaling up process of HIV/AIDS care in resource-limited settings (RLSs. Educational modules on mobile phones can give flexibility to HCWs for accessing learning content anywhere. However lack of softwares interoperability and the high investment cost for the Smartphones' purchase could represent a limitation to the wide spread use of such kind mLearning programs in RLSs.

  11. Social media as an open-learning resource in medical education: current perspectives

    Directory of Open Access Journals (Sweden)

    Sutherland S

    2017-06-01

    Full Text Available S Sutherland,1 A Jalali2 1Department of Critical Care, The Ottawa Hospital, ²Division of Clinical and Functional Anatomy, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada Purpose: Numerous studies evaluate the use of social media as an open-learning resource in education, but there is a little published knowledge of empirical evidence that such open-learning resources produce educative outcomes, particularly with regard to student performance. This study undertook a systematic review of the published literature in medical education to determine the state of the evidence as to empirical studies that conduct an evaluation or research regarding social media and open-learning resources.Methods: The authors searched MEDLINE, ERIC, Embase, PubMed, Scopus, and Google Scholar from 2012 to 2017. This search included using keywords related to social media, medical education, research, and evaluation, while restricting the search to peer reviewed, English language articles only. To meet inclusion criteria, manuscripts had to employ evaluative methods and undertake empirical research.Results: Empirical work designed to evaluate the impact of social media as an open-learning resource in medical education is limited as only 13 studies met inclusion criteria. The majority of these studies used undergraduate medical education as the backdrop to investigate open-learning resources, such as Facebook, Twitter, and YouTube. YouTube appears to have little educational value due to the unsupervised nature of content added on a daily basis. Overall, extant reviews have demonstrated that we know a considerable amount about social media use, although to date, its impacts remain unclear.Conclusion: There is a paucity of outcome-based, empirical studies assessing the impact of social media in medical education. The few empirical studies identified tend to focus on evaluating the affective outcomes of social media and medical education as opposed to

  12. Sustainability in Health care by allocating resources effectively (SHARE) 1: introducing a series of papers reporting an investigation of disinvestment in a local healthcare setting.

    Science.gov (United States)

    Harris, Claire; Green, Sally; Ramsey, Wayne; Allen, Kelly; King, Richard

    2017-05-04

    This is the first in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE). The SHARE Program is an investigation of concepts, opportunities, methods and implications for evidence-based investment and disinvestment in health technologies and clinical practices in a local healthcare setting. The papers in this series are targeted at clinicians, managers, policy makers, health service researchers and implementation scientists working in this context. This paper presents an overview of the organisation-wide, systematic, integrated, evidence-based approach taken by one Australian healthcare network and provides an introduction and guide to the suite of papers reporting the experiences and outcomes.

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

    Science.gov (United States)

    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.

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

    Science.gov (United States)

    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

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

    Directory of Open Access Journals (Sweden)

    Wei Bao

    Full Text Available 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.

  16. The Role of Higher Education in Promoting Lifelong Learning. UIL Publication Series on Lifelong Learning Policies and Strategies: No. 3

    Science.gov (United States)

    Yang, Jin, Ed.; Schneller, Chripa, Ed.; Roche, Stephen, Ed.

    2015-01-01

    There is no doubt that universities have a vital role to play in promoting lifelong learning. This publication presents possible ways of expanding and transforming higher education to facilitate lifelong learning in different socio-economic contexts. Nine articles address the various dimensions of the role of higher education in promoting lifelong…

  17. How School Districts Can Support Deeper Learning: The Need for Performance Alignment. Executive Summary. Deeper Learning Research Series

    Science.gov (United States)

    Honig, Meredith I.; Rainey, Lydia R.

    2015-01-01

    School district leaders nationwide aspire to help their schools become vibrant places for learning--where students have meaningful academic opportunities "and" develop critical thinking and problem-solving skills, the ability to communicate effectively, and other deeper learning capacities that are essential to success in later life.…

  18. Mobile learning in resource-constrained environments: a case study of medical education.

    Science.gov (United States)

    Pimmer, Christoph; Linxen, Sebastian; Gröhbiel, Urs; Jha, Anil Kumar; Burg, Günter

    2013-05-01

    The achievement of the millennium development goals may be facilitated by the use of information and communication technology in medical and health education. This study intended to explore the use and impact of educational technology in medical education in resource-constrained environments. A multiple case study was conducted in two Nepalese teaching hospitals. The data were analysed using activity theory as an analytical basis. There was little evidence for formal e-learning, but the findings indicate that students and residents adopted mobile technologies, such as mobile phones and small laptops, as cultural tools for surprisingly rich 'informal' learning in a very short time. These tools allowed learners to enhance (a) situated learning, by immediately connecting virtual information sources to their situated experiences; (b) cross-contextual learning by documenting situated experiences in the form of images and videos and re-using the material for later reflection and discussion and (c) engagement with educational content in social network communities. By placing the students and residents at the centre of the new learning activities, this development has begun to affect the overall educational system. Leveraging these tools is closely linked to the development of broad media literacy, including awareness of ethical and privacy issues.

  19. Developing an e-learning resource for nurse airway assistants in the emergency department.

    Science.gov (United States)

    Hersey, Peter; McAleer, Sean

    2017-02-23

    The aims of this project were to determine the required competencies for a nurse in the emergency department assisting with a rapid sequence induction of anaesthesia (RSI), and to produce a relevant e-learning resource. A three-round multidisciplinary Delphi process produced the following competencies: ability to describe the steps and sequence of events of an RSI, familiarity with the equipment used during an RSI, ability to recognise and help manage problems occurring during an RSI, ability to prepare for an RSI, ability to apply cricoid pressure, and understanding the modification of an RSI in special circumstances. An interactive e-learning package was produced and made available online. Twelve emergency department nurses took part in an evaluation of the e-learning package. All either agreed or strongly agreed that they had increased their knowledge and found the learning useful, and 11 out of 12 nurses reported being somewhat or very confident in the role of airway assistant following completion of the learning.

  20. From scorecard to social learning: a reflective coassessment approach for promoting multiagency cooperation in natural resource management

    CSIR Research Space (South Africa)

    Roux, DJ

    2011-01-01

    Full Text Available resource management are usually confined to single organizations. This paper describes a social learning approach which acknowledges cooperation as an essential precondition for effective management and that encourages reflective coassessment of cooperative...

  1. A flexible e-learning resource promoting the critical reading of scientific papers for science undergraduates.

    Science.gov (United States)

    Letchford, Julie; Corradi, Hazel; Day, Trevor

    2017-11-01

    An important aim of undergraduate science education is to develop student skills in reading and evaluating research papers. We have designed, developed, and implemented an on-line interactive resource entitled "Evaluating Scientific Research literature" (ESRL) aimed at students from the first 2 years of the undergraduate program. In this article, we describe the resource, then use student data collected from questionnaire surveys to evaluate the resource within 2 years of its launch. Our results add to those reported previously and indicate that ESRL can enable students to start evaluating research articles when used during their undergraduate program. We conclude maximal learning is likely to occur when the resource can be embedded in the curriculum such that students have a clearly articulated context for the resource's activities, can see their relevance in relation to assessed assignments and can be encouraged to think deeply about the activities in conversation with one another and/or with staff. © 2017 by The International Union of Biochemistry and Molecular Biology, 45(6):483-490, 2017. © 2017 The International Union of Biochemistry and Molecular Biology.

  2. TraumaTutor: Perceptions of a Smartphone Application as a Learning Resource for Trauma Management

    Directory of Open Access Journals (Sweden)

    James Wigley

    2013-01-01

    Full Text Available Aim. We investigated perceptions of a new smartphone application (app as a learning resource. Methods. We developed TraumaTutor, an iPhone app consisting of 150 questions and explanatory answers on trauma management. This was used by 20 hospital staff that either had a special interest in managing trauma or who were studying for relevant exams, such as ATLS. A subsequent questionnaire assessed users’ experience of smartphone applications and their perceptions of TraumaTutor. Results. Of those surveyed, 85% had a device capable of running app software, and 94% of them had used apps for medical education. Specific to TraumaTutor, 85% agreed that it was pitched at the right level, 95% felt that the explanations improved understanding of trauma management, and 100% found the app easy to use. In fact, on open questioning, the clear user interface and the quality of the educational material were seen as the major advantages of TraumaTutor, and 85% agreed that the app would be a useful learning resource. Conclusions. Smartphone applications are considered a valuable educational adjunct and are commonly used by our target audience. TraumaTutor shows overwhelming promise as a learning supplement due to its immediacy, accessibility, and relevance to those preparing for courses and managing trauma.

  3. How the Japanese Learn To Work. Second Edition. Nissan Institute/Routledge Japanese Studies Series.

    Science.gov (United States)

    Dore, Ronald; Sako, Mari

    This book examines how the Japanese learn to work by exploring the following topics: common assumptions about vocational education and training (VET) that Japan brings into question; Japan's general education system and the moral quality and prestige status of the teaching and learning process; screening processes within Japan's education system…

  4. Flexible Pedagogies: Technology-Enhanced Learning. Flexible Pedagogies: Preparing for the Future Series

    Science.gov (United States)

    Gordon, Neil

    2014-01-01

    This publication is part of our five-strand research project "Flexible Pedagogies: preparing for the future". It focuses on a better understanding of technology-enhanced learning (TEL) and: (1) identifies key international drivers in the move towards technology-enhanced learning; (2) highlights some of the challenges and opportunities…

  5. Use of Validation by Enterprises for Human Resource and Career Development Purposes. Cedefop Reference Series No 96

    Science.gov (United States)

    Cedefop - European Centre for the Development of Vocational Training, 2014

    2014-01-01

    European enterprises give high priority to assessing skills and competences, seeing this as crucial for recruitment and human resource management. Based on a survey of 400 enterprises, 20 in-depth case studies and interviews with human resource experts in 10 countries, this report analyses the main purposes of competence assessment, the standards…

  6. Determining the Number of Participants Needed for the Usability Evaluation of E-Learning Resources: A Monte Carlo Simulation

    Science.gov (United States)

    Davids, Mogamat Razeen; Harvey, Justin; Halperin, Mitchell L.; Chikte, Usuf M. E.

    2015-01-01

    The usability of computer interfaces has a major influence on learning. Optimising the usability of e-learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying typical end-users interacting with the application…

  7. Evaluating Online Resources in Terms of Learning Environment and Student Attitudes in Middle-Grade Mathematics Classes

    Science.gov (United States)

    Earle, James E.; Fraser, Barry J.

    2017-01-01

    The main objective of this research was to use learning environment and attitude scales in evaluating online resource materials for supporting a traditional mathematics curriculum. The sample consisted of 914 middle-school students in 49 classes. A second research focus was the validation of the chosen learning environment questionnaire, the…

  8. Supporting Accomplished Facilitation: Examining the Use of Sppreciative Inquiry to Inform the Development of Learning Resources for Medical Educators

    Science.gov (United States)

    McIntosh, Paul; Freeth, Della; Berridge, Emma Jane

    2013-01-01

    This paper examines the use of appreciative inquiry (AI) to guide development of web-based learning resources for medical educators who facilitate simulation-based learning experiences for doctors-in-training. AI can be viewed as a positive form of action research, which seeks to avoid deficit-based analyses and solutions, and commonly associated…

  9. Towards a new approach to natural resources and development: the role of learning, innovation and linkage dynamics

    DEFF Research Database (Denmark)

    Andersen, Allan Dahl

    2012-01-01

    resources as finite and exogenous to the economic system. These assumptions constitute the pillars of the law of diminishing returns which inter alia states that natural resources cannot lead development. Others argue that natural resources are endogenous to the economy and can develop important dynamic...... linkages. The paper elaborates on the latter and suggests that in order to understand the role of natural resources in economic development, they must be understood as dynamic, and as being subject to processes of natural resource creation, extension and obsolescing that are characterised by learning...

  10. Stakeholders' Perceptions of Quality and Potential Improvements in the Learning Resources Centers at Omani Basic Education Schools

    Science.gov (United States)

    Al Musawi, Ali; Amer, Talal

    2017-01-01

    This study attempts to investigate the stakeholders' perceptions of quality and prospective improvements in the learning resources centres (LRC) at Omani basic education schools. It focuses on different aspects of the LRCs: organisation, human resources, technological, and educational aspects along with the difficulties faced by these LRCs and…

  11. An Open Educational Resource Supports a Diversity of Inquiry-Based Learning

    Directory of Open Access Journals (Sweden)

    Catherine Anne Schmidt-Jones

    2012-01-01

    Full Text Available There have been numerous calls for research that demonstrates how open education resources (OERs are actually being used. This case study sought to shed light on the users of a well-visited set of modular music-education materials published at Connexions. Respondents to a voluntary survey included teachers, students, self-directed learners, music ensemble participants, and casual learners. Most reported accessing individual modules on their own initiative, as part of a specific, immediate inquiry, rather than responding to institutional directives or following entire online courses. This was supported by computer-log records, which showed that most visitors to a module arrived from an Internet search for terms specific to that module. The study suggests that, for teachers and students as well as self-directed learners, one function of OERs is as a resource for just-in-time, inquiry-based learning.

  12. A rapid learning and dynamic stepwise updating algorithm for flat neural networks and the application to time-series prediction.

    Science.gov (United States)

    Chen, C P; Wan, J Z

    1999-01-01

    A fast learning algorithm is proposed to find an optimal weights of the flat neural networks (especially, the functional-link network). Although the flat networks are used for nonlinear function approximation, they can be formulated as linear systems. Thus, the weights of the networks can be solved easily using a linear least-square method. This formulation makes it easier to update the weights instantly for both a new added pattern and a new added enhancement node. A dynamic stepwise updating algorithm is proposed to update the weights of the system on-the-fly. The model is tested on several time-series data including an infrared laser data set, a chaotic time-series, a monthly flour price data set, and a nonlinear system identification problem. The simulation results are compared to existing models in which more complex architectures and more costly training are needed. The results indicate that the proposed model is very attractive to real-time processes.

  13. A case series of an off-the-shelf online health resource with integrated nurse coaching to support self-management in COPD

    Directory of Open Access Journals (Sweden)

    Early F

    2017-10-01

    nurse-coach support aligned to an Internet-based health resource, TPP, in COPD and provide learning about the challenges of such an approach and the importance of the nurse-coach role. Keywords: COPD, self-management, Internet, coaching, patient activation

  14. Industrial Learning Curves Series Production of the LHC Main Superconduting Dipoles

    CERN Document Server

    Fessia, Paolo; Rossi, Lucio

    2007-01-01

    By mid August 2006, 1160 of the 1232 of LHC main dipoles have been delivered to CERN by the three suppliers in charge of the production. The training of the staff, mostly hired just for this manufacture, and the improvement of the procedures with the acquired experience, naturally decrease the time necessary for the assembly of a unit. The aim of this paper is to apply methodologies like the cost-based learning curves and the time-based learning curves to the LHC Main Dipole production comparing the estimated learning percentage to the ones experienced in other industries. This type of analysis, already presented on 500 units is here extended to more than 1000 completed units. The work also tries to identify which type of industry presents the learning percentages that are the most similar to our case and to investigate the impact of the production strategy on the process efficiency.

  15. Open and Distance Learning Today. Routledge Studies in Distance Education Series.

    Science.gov (United States)

    Lockwood, Fred, Ed.

    This book contains the following papers on open and distance learning today: "Preface" (Daniel); "Big Bang Theory in Distance Education" (Hawkridge); "Practical Agenda for Theorists of Distance Education" (Perraton); "Trends, Directions and Needs: A View from Developing Countries" (Koul); "American…

  16. A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series

    OpenAIRE

    Chambon, Stanislas; Galtier, Mathieu; Arnal, Pierrick; Wainrib, Gilles; Gramfort, Alexandre

    2017-01-01

    Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30s of signal a sleep stage, based on the visual inspection of signals such as electroencephalograms (EEG), electrooculograms (EOG), electrocardiograms (ECG) and electromyograms (EMG). We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or...

  17. Learning from the Past for Future Policy: Approaches to Time-series ...

    African Journals Online (AJOL)

    Western Indian Ocean Journal of Marine Science ... The Food and Agricultrual Organization (FAO) compiles statistical reports from its member countries, ... management policies on resource conservation for the benefit of coastal communities.

  18. How comprehensive are research studies investigating the efficacy of technology-enhanced learning resources in anatomy education? A systematic review.

    Science.gov (United States)

    Clunie, Lauren; Morris, Neil P; Joynes, Viktoria C T; Pickering, James D

    2018-05-06

    Anatomy education is at the forefront of integrating innovative technologies into its curricula. However, despite this rise in technology numerous authors have commented on the shortfall in efficacy studies to assess the impact such technology-enhanced learning (TEL) resources have on learning. To assess the range of evaluation approaches to TEL across anatomy education, a systematic review was conducted using MEDLINE, the Educational Resources Information Centre (ERIC), Scopus, and Google Scholar, with a total of 3,345 articles retrieved. Following the PRISMA method for reporting items, 153 articles were identified and reviewed against a published framework-the technology-enhanced learning evaluation model (TELEM). The model allowed published reports to be categorized according to evaluations at the level of (1) learner satisfaction, (2) learning gain, (3) learner impact, and (4) institutional impact. The results of this systematic review reveal that most evaluation studies into TEL within anatomy curricula were based on learner satisfaction, followed by module or course learning outcomes. Randomized controlled studies assessing learning gain with a specific TEL resource were in a minority, with no studies reporting a comprehensive assessment on the overall impact of introducing a specific TEL resource (e.g., return on investment). This systematic review has provided clear evidence that anatomy education is engaged in evaluating the impact of TEL resources on student education, although it remains at a level that fails to provide comprehensive causative evidence. Anat Sci Educ 11: 303-319. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.

  19. Interactive Whiteboards and Computer Games at Highschool Level: Digital Resources for Enhancing Reflection in Teaching and Learning

    DEFF Research Database (Denmark)

    Sorensen, Elsebeth Korsgaard; Poulsen, Mathias; Houmann, Rita

    The general potential of computer games for teaching and learning is becoming widely recognized. In particular, within the application contexts of primary and lower secondary education, the relevance and value and computer games seem more accepted, and the possibility and willingness to incorporate...... computer games as a possible resource at the level of other educational resources seem more frequent. For some reason, however, to apply computer games in processes of teaching and learning at the high school level, seems an almost non-existent event. This paper reports on study of incorporating...... the learning game “Global Conflicts: Latin America” as a resource into the teaching and learning of a course involving the two subjects “English language learning” and “Social studies” at the final year in a Danish high school. The study adapts an explorative research design approach and investigates...

  20. A network analysis of blended learning: Perceived causal relations between use of learning resources, regulation strategies and course performance

    NARCIS (Netherlands)

    Bos, Nynke; Meijer, Bren; Brand-Gruwel, Saskia

    2018-01-01

    Blended learning is often associated with student-oriented learning in which students have more control over the learning path, which will stimulate self-regulated and deeper learning. Although the perceived value of blended learning is clear, less is known if and how blended learning contributes to

  1. Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals

    Directory of Open Access Journals (Sweden)

    Kai Wang

    2016-01-01

    Full Text Available Health is vital to every human being. To further improve its already respectable medical technology, the medical community is transitioning towards a proactive approach which anticipates and mitigates risks before getting ill. This approach requires measuring the physiological signals of human and analyzes these data at regular intervals. In this paper, we present a novel approach to apply deep learning in physiological signals analysis that allows doctor to identify latent risks. However, extracting high level information from physiological time-series data is a hard problem faced by the machine learning communities. Therefore, in this approach, we apply model based on convolutional neural network that can automatically learn features from raw physiological signals in an unsupervised manner and then based on the learned features use multivariate Gauss distribution anomaly detection method to detect anomaly data. Our experiment is shown to have a significant performance in physiological signals anomaly detection. So it is a promising tool for doctor to identify early signs of illness even if the criteria are unknown a priori.

  2. A Tool and Process that Facilitate Community Capacity Building and Social Learning for Natural Resource Management

    Directory of Open Access Journals (Sweden)

    Christopher M. Raymond

    2013-03-01

    Full Text Available This study presents a self-assessment tool and process that facilitate community capacity building and social learning for natural resource management. The tool and process provide opportunities for rural landholders and project teams both to self-assess their capacity to plan and deliver natural resource management (NRM programs and to reflect on their capacities relative to other organizations and institutions that operate in their region. We first outline the tool and process and then present a critical review of the pilot in the South Australian Arid Lands NRM region, South Australia. Results indicate that participants representing local, organizational, and institutional tiers of government were able to arrive at a group consensus position on the strength, importance, and confidence of a variety of capacities for NRM categorized broadly as human, social, physical, and financial. During the process, participants learned a lot about their current capacity as well as capacity needs. Broad conclusions are discussed with reference to the iterative process for assessing and reflecting on community capacity.

  3. Appropriating Geometric Series as a Cultural Tool: A Study of Student Collaborative Learning

    Science.gov (United States)

    Carlsen, Martin

    2010-01-01

    The aim of this article is to illustrate how students, through collaborative small-group problem solving, appropriate the concept of geometric series. Student appropriation of cultural tools is dependent on five sociocultural aspects: involvement in joint activity, shared focus of attention, shared meanings for utterances, transforming actions and…

  4. Numbers and Measuring, Learning With TOR: MINNEMAST Coordinated Mathematics - Science Series, Unit 16.

    Science.gov (United States)

    Vogt, Elaine E., Ed.

    This volume is the sixteenth in a series of 29 coordinated MINNEMAST units in mathematics and science for kindergarten and the primary grades. Intended for use by second-grade teachers, this unit guide provides a summary and overview of the unit, a list of materials needed, and descriptions of five groups of lessons. The purposes and procedures…

  5. Analysis of problem solving on project based learning with resource based learning approach computer-aided program

    Science.gov (United States)

    Kuncoro, K. S.; Junaedi, I.; Dwijanto

    2018-03-01

    This study aimed to reveal the effectiveness of Project Based Learning with Resource Based Learning approach computer-aided program and analyzed problem-solving abilities in terms of problem-solving steps based on Polya stages. The research method used was mixed method with sequential explanatory design. The subject of this research was the students of math semester 4. The results showed that the S-TPS (Strong Top Problem Solving) and W-TPS (Weak Top Problem Solving) had good problem-solving abilities in each problem-solving indicator. The problem-solving ability of S-MPS (Strong Middle Problem Solving) and (Weak Middle Problem Solving) in each indicator was good. The subject of S-BPS (Strong Bottom Problem Solving) had a difficulty in solving the problem with computer program, less precise in writing the final conclusion and could not reflect the problem-solving process using Polya’s step. While the Subject of W-BPS (Weak Bottom Problem Solving) had not been able to meet almost all the indicators of problem-solving. The subject of W-BPS could not precisely made the initial table of completion so that the completion phase with Polya’s step was constrained.

  6. Supporting Shared Resource Usage for a Diverse User Community: the OSG Experience and Lessons Learned

    International Nuclear Information System (INIS)

    Garzoglio, Gabriele; Levshina, Tanya; Sehgal, Chander; Slyz, Marko; Rynge, Mats

    2012-01-01

    The Open Science Grid (OSG) supports a diverse community of new and existing users in adopting and making effective use of the Distributed High Throughput Computing (DHTC) model. The LHC user community has deep local support within the experiments. For other smaller communities and individual users the OSG provides consulting and technical services through the User Support area. We describe these sometimes successful and sometimes not so successful experiences and analyze lessons learned that are helping us improve our services. The services offered include forums to enable shared learning and mutual support, tutorials and documentation for new technology, and troubleshooting of problematic or systemic failure modes. For new communities and users, we bootstrap their use of the distributed high throughput computing technologies and resources available on the OSG by following a phased approach. We first adapt the application and run a small production campaign on a subset of “friendly” sites. Only then do we move the user to run full production campaigns across the many remote sites on the OSG, adding to the community resources up to hundreds of thousands of CPU hours per day. This scaling up generates new challenges – like no determinism in the time to job completion, and diverse errors due to the heterogeneity of the configurations and environments – so some attention is needed to get good results. We cover recent experiences with image simulation for the Large Synoptic Survey Telescope (LSST), small-file large volume data movement for the Dark Energy Survey (DES), civil engineering simulation with the Network for Earthquake Engineering Simulation (NEES), and accelerator modeling with the Electron Ion Collider group at BNL. We will categorize and analyze the use cases and describe how our processes are evolving based on lessons learned.

  7. Open Educational Resources and the Opportunities for Expanding Open and Distance Learning (OERS-ODL

    Directory of Open Access Journals (Sweden)

    Jameson Mbale

    2013-05-01

    Full Text Available Distance learning (DL was a teaching modality which utilized technology to deliver teaching to students who were not physically present such as in a traditional classroom setting. DL was not constrained by geographic considerations and therefore offered unique opportunities to expand educational access. The University of Namibia (UNAM and International Training and Education Center for Health (I-TECH partnered to examine DL at UNAM, to assess strengths and weaknesses, and to make recommendations for improvement. The primary method used in this assessment was interviews with staff at centers and units engaged in Distance Learning at UNAM. It was analyzed how interactions vary between instructor and learner, among learners, and between learners and learning resources. DL at UNAM was categorized into five approaches including: 1 Outreach, 2 Print-based, 3 Computer based, 4 Internet-based, and 5 Digital Video Conferencing (DVC. All-in-all, a strategy of “starting small” was envisaged to allow individual instructors to voluntarily use collaborative software such as Google Groups to enhance print-based instruction and progressively expand DL at UNAM.

  8. Recruitment of Older Adult Patient-Caregiver Dyads for an Online Caregiver Resource Program: Lessons Learned.

    Science.gov (United States)

    Nahm, Eun-Shim; Orwig, Denise; Resnick, Barbara; Magaziner, Jay; Bellantoni, Michele; Sterling, Robert

    2012-01-12

    Hip fracture is a significant health problem for older adults and generally requires surgery followed by intensive rehabilitation. Informal caregivers (CGs) can provide vital assistance to older adults recovering from hip fracture. Caregiving is a dyadic process that affects both CGs and care recipients (CRs). In a feasibility study, we assessed the effects of using a theory-based online hip fracture resource program for CGs on both CGs and CRs. In this article, we discuss our recruitment process and the lessons learned. Participants were recruited from six acute hospitals, and CGs used the online resource program for 8 weeks. A total of 256 hip fracture patients were screened, and 164 CRs were ineligible. CG screening was initiated when CRs were determined to be eligible. Among 41 eligible dyads, 36 dyads were recruited. Several challenges to the recruitment of these dyads for online studies were identified, including a low number of eligible dyads in certain hospitals and difficulty recruiting both the CR and the CG during the short hospital stay. Field nurses often had to make multiple trips to the hospital to meet with both the CR and the CG. Thus, when a subject unit is a dyad recruited from acute settings, the resources required for the recruitment may be more than doubled. These challenges could be successfully alleviated with careful planning, competent field staff members, collaboration with hospital staff members, and efficient field operations.

  9. Simultaneous allocation of distributed resources using improved teaching learning based optimization

    International Nuclear Information System (INIS)

    Kanwar, Neeraj; Gupta, Nikhil; Niazi, K.R.; Swarnkar, Anil

    2015-01-01

    Highlights: • Simultaneous allocation of distributed energy resources in distribution networks. • Annual energy loss reduction is optimized using a multi-level load profile. • A new penalty factor approach is suggested to check node voltage deviations. • An improved TLBO is proposed by suggesting several modifications in standard TLBO. • An intelligent search is proposed to enhance the performance of solution technique. - Abstract: Active and reactive power flow in distribution networks can be effectively controlled by optimally placing distributed resources like shunt capacitors and distributed generators. This paper presents improved variant of Teaching Learning Based Optimization (TLBO) to efficiently and effectively deal with the problem of simultaneous allocation of these distributed resources in radial distribution networks while considering multi-level load scenario. Several algorithm specific modifications are suggested in the standard form of TLBO to cope against the intrinsic flaws of this technique. In addition, an intelligent search approach is proposed to restrict the problem search space without loss of diversity. This enhances the overall performance of the proposed method. The proposed method is investigated on IEEE 33-bus, 69-bus and 83-bus test distribution systems showing promising results

  10. Place as Text: Approaches to Active Learning. 2nd Edition. National Collegiate Honors Council Monograph Series

    Science.gov (United States)

    Braid, Bernice, Ed.; Long, Ada, Ed.

    2010-01-01

    The decade since publication of "Place as Text: Approaches to Active Learning" has seen an explosion of interest and productivity in the field of experiential education. This monograph presents a story of an experiment and a blueprint of sorts for anyone interested in enriching an existing program or willing to experiment with pedagogy…

  11. Developing Preschool Deaf Children's Language and Literacy Learning from an Educational Media Series

    Science.gov (United States)

    Golos, Debbie B.; Moses, Annie M.

    2013-01-01

    With the increase in research on multiliteracies comes greater interest in exploring multiple pathways of learning for deaf children. Educational media have been increasingly examined as a tool for facilitating the development of deaf children's language and literacy skills. The authors investigated whether preschool deaf children (N = 31)…

  12. An Automaton Analysis of the Learning of a Miniature System of Japanese. Psychology Series.

    Science.gov (United States)

    Wexler, Kenneth Norman

    The purpose of the study reported here was to do an automata-theoretical and experimental investigation of the learning of the syntax and semantics of a second natural language. The main thrust of the work was to ask what kind of automaton a person can become. Various kinds of automata were considered, predictions were made from them, and these…

  13. Language and Literacy in Workplace Education: Learning at Work. Language in Social Life Series.

    Science.gov (United States)

    Mawer, Giselle; Fletcher, Lee; McCall, Julia; O'Grady, Catherine; Ong, Bee Jong

    Interweaving theory and commentary with case studies, this book explores a multifaceted approach to workplace education that develops workers' skills and integrates learning, language, and cross-cultural issues into work, communication, and management practices. Chapter 1 explores the changing world of work and implications for workforce skill…

  14. A Network for Integrated Science and Mathematics Teaching and Learning. NCSTL Monograph Series, #2.

    Science.gov (United States)

    Berlin, Donna F.; White, Arthur L.

    This monograph presents a summary of the results of the Wingspread Conference in April, 1991 concerning the viability and future of the concept of integration of mathematics and science teaching and learning. The conference focused on three critical issues: (1) development of definitions of integration and a rationale for integrated teaching and…

  15. Using learning analytics to evaluate a video-based lecture series.

    Science.gov (United States)

    Lau, K H Vincent; Farooque, Pue; Leydon, Gary; Schwartz, Michael L; Sadler, R Mark; Moeller, Jeremy J

    2018-01-01

    The video-based lecture (VBL), an important component of the flipped classroom (FC) and massive open online course (MOOC) approaches to medical education, has primarily been evaluated through direct learner feedback. Evaluation may be enhanced through learner analytics (LA) - analysis of quantitative audience usage data generated by video-sharing platforms. We applied LA to an experimental series of ten VBLs on electroencephalography (EEG) interpretation, uploaded to YouTube in the model of a publicly accessible MOOC. Trends in view count; total percentage of video viewed and audience retention (AR) (percentage of viewers watching at a time point compared to the initial total) were examined. The pattern of average AR decline was characterized using regression analysis, revealing a uniform linear decline in viewership for each video, with no evidence of an optimal VBL length. Segments with transient increases in AR corresponded to those focused on core concepts, indicative of content requiring more detailed evaluation. We propose a model for applying LA at four levels: global, series, video, and feedback. LA may be a useful tool in evaluating a VBL series. Our proposed model combines analytics data and learner self-report for comprehensive evaluation.

  16. A review of Computer Science resources for learning and teaching with K-12 computing curricula: an Australian case study

    Science.gov (United States)

    Falkner, Katrina; Vivian, Rebecca

    2015-10-01

    To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age children, with the intention to engage children and increase interest, rather than to formally teach concepts and skills. What is the educational quality of existing Computer Science resources and to what extent are they suitable for classroom learning and teaching? In this paper, an assessment framework is presented to evaluate the quality of online Computer Science resources. Further, a semi-systematic review of available online Computer Science resources was conducted to evaluate resources available for classroom learning and teaching and to identify gaps in resource availability, using the Australian curriculum as a case study analysis. The findings reveal a predominance of quality resources, however, a number of critical gaps were identified. This paper provides recommendations and guidance for the development of new and supplementary resources and future research.

  17. How Students Learn: Propositions about "Good Learning" in HE. EDNER (Formative Evaluation of the Distributed National Electronic Resource) Project. Issues Paper.

    Science.gov (United States)

    Manchester Metropolitan Univ. (England).

    This issues paper, the second in a series of eight, is intended to distill formative evaluation questions on topics that are central to the development of the higher and further education information environment in the United Kingdom. Issues Paper 1 introduced a framework for thinking about "good" learning. This paper complements Issues…

  18. Foundational Report Series: Advanced Distribution Management Systems for Grid Modernization, DMS Integration of Distributed Energy Resources and Microgrids

    Energy Technology Data Exchange (ETDEWEB)

    Singh, Ravindra [Argonne National Lab. (ANL), Argonne, IL (United States); Reilly, James T. [Reilly Associates, Pittston, PA (United States); Wang, Jianhui [Argonne National Lab. (ANL), Argonne, IL (United States); Lu, Xiaonan [Argonne National Lab. (ANL), Argonne, IL (United States); Kang, Ning [Argonne National Lab. (ANL), Argonne, IL (United States)

    2017-03-01

    Deregulation of the electric utility industry, environmental concerns associated with traditional fossil fuel-based power plants, volatility of electric energy costs, Federal and State regulatory support of “green” energy, and rapid technological developments all support the growth of Distributed Energy Resources (DERs) in electric utility systems and ensure an important role for DERs in the smart grid and other aspects of modern utilities. DERs include distributed generation (DG) systems, such as renewables; controllable loads (also known as demand response); and energy storage systems. This report describes the role of aggregators of DERs in providing optimal services to distribution networks, through DER monitoring and control systems—collectively referred to as a Distributed Energy Resource Management System (DERMS)—and microgrids in various configurations.

  19. Model-free prediction of noisy chaotic time series by deep learning

    OpenAIRE

    Yeo, Kyongmin

    2017-01-01

    We present a deep neural network for a model-free prediction of a chaotic dynamical system from noisy observations. The proposed deep learning model aims to predict the conditional probability distribution of a state variable. The Long Short-Term Memory network (LSTM) is employed to model the nonlinear dynamics and a softmax layer is used to approximate a probability distribution. The LSTM model is trained by minimizing a regularized cross-entropy function. The LSTM model is validated against...

  20. How Students Learn: Ways of Thinking about "Good Learning" in HE. EDNER (Formative Evaluation of the Distributed National Electronic Resource) Project. Issues Paper.

    Science.gov (United States)

    Manchester Metropolitan Univ. (England).

    This issues paper, one of a series of eight, is intended to distill formative evaluation questions on topics that are central to the development of the higher and further education information environment in the United Kingdom. The topic of this first issues paper is a conceptual framework that can help members of a project (information resource)…

  1. Law and Financial Development: What we are learning from time-series evidence

    OpenAIRE

    Armour, J.; Deakin, S.; Mollica, V.; Siems, M.M.

    2010-01-01

    The legal origins hypothesis is one of the most important and influential ideas to emerge in the social sciences in the past decade. However, the empirical base of the legal origins claim has always been contestable, as it largely consists of cross-sectional datasets which provide evidence on the state of the law only at limited points in time. There is now a growing body of data derived from techniques for coding cross-national legal variation over time. This time-series evidence is reviewed...

  2. Leveraging time and learning style, iPod vs. realtime attendance at a series of medicine residents conferences: a randomised controlled trial

    Directory of Open Access Journals (Sweden)

    Michael Tempelhof

    2009-06-01

    Conclusions Residency training programmes can optimise time management strategies with the integration of innovative learning resources into educational curricula. This study suggests that iPod capture of conferences is a reasonable resource to help meet the educational goals of residents and residency programs.

  3. Time to Talk? How the Structure of Dialog Processes Shapes Stakeholder Learning in Participatory Water Resources Management

    Directory of Open Access Journals (Sweden)

    Melanie Muro

    2012-03-01

    Full Text Available Public participation is increasingly viewed as a means to initiate social learning among stakeholders, resource managers, and policy makers rather than to ensure democratic representation. This growing understanding of participatory activities as learning platforms can be seen as a direct response to shifts in how natural resources management is framed, namely as uncertain, non-linear, and interlinked with the human dimensions. Social learning as it is discussed within the natural resources management (NRM context features a process of collective and communicative learning that is thought to enable stakeholders to arrive at a shared understanding of a specific environmental situation and to develop new solutions as well as ways of acting together in pursuit of a shared ambition. Yet, although case-study research on social-learning processes provides multiple accounts of positive experiences, there are also reports of mistaken learning, the intensification of tensions or conflict, and failure to reach agreement or verifiable consensus. Based on results of a postal survey of stakeholder experiences in two involvement initiatives, we can draw two main conclusions: First, social learning is a multidimensional and dynamic process and, as such, evolves in stages and to various degrees. Second, stakeholder processes are shaped and affected by a multitude of factors that constrain the occurrence of learning processes and eventually limit the extent to which these can contribute to sustainable NRM. Foremost, the fact that the intensity of stakeholder learning differed in the two investigated initiatives reinforces the role organizational arrangements play in encouraging the type of communicative process necessary for stakeholder learning.

  4. Learning to multitask: effects of video game practice on electrophysiological indices of attention and resource allocation.

    Science.gov (United States)

    Maclin, Edward L; Mathewson, Kyle E; Low, Kathy A; Boot, Walter R; Kramer, Arthur F; Fabiani, Monica; Gratton, Gabriele

    2011-09-01

    Changes in attention allocation with complex task learning reflect processing automatization and more efficient control. We studied these changes using ERP and EEG spectral analyses in subjects playing Space Fortress, a complex video game comprising standard cognitive task components. We hypothesized that training would free up attentional resources for a secondary auditory oddball task. Both P3 and delta EEG showed a processing trade-off between game and oddball tasks, but only some game events showed reduced attention requirements with practice. Training magnified a transient increase in alpha power following both primary and secondary task events. This contrasted with alpha suppression observed when the oddball task was performed alone, suggesting that alpha may be related to attention switching. Hence, P3 and EEG spectral data are differentially sensitive to changes in attentional processing occurring with complex task training. Copyright © 2011 Society for Psychophysiological Research.

  5. [Physical projects atelier: strategy for physical resources administration learning on nursing].

    Science.gov (United States)

    Draganov, Patricia Bover; Sanna, Maria Cristina

    2011-09-01

    The success of learning involves adequate strategies. Those inspired on andragogy, which is the science of teaching adults, seem to be ideal for the nursing undergraduate subject "projects", with a focus on the administration of physical resources for nursing. This study reports teaching strategies that try to estimulate the acquisition of competences that make the nurse capable of a dialogue on projects with a multiprofessional team. The strategy involved a workshop composed by four stages: reading of projects, health assistance institute (HAI) attributions, notions on physical scaling strategies and development of a glossary. The strategy, proposed by a graduate student in the subject "Strategies to the teaching of Administration", was tested through practical application, evaluated and approved by graduate students and teachers. The conditions for its implementation are working with few students, availability of proper classrooms and equipment, and partnership with HAIs.

  6. International nuclear emergency exercises: lessons learned from the I.N.E.X. series

    International Nuclear Information System (INIS)

    Ahier, B.

    2008-01-01

    Since the early 1990's, the OECD Nuclear Energy Agency (NEA) has offered its member countries a forum for improving efficiency and effectiveness in nuclear emergency management, with a particular focus on international aspects. A central approach to this has been the International Nuclear Emergency Exercise (INEXI series. Since 1993, the INEX series has proved successful in testing and advancing arrangements for nuclear emergency response. INEX 1, 2 and 2000, which focused on early-phase issues, provided a unique forum to test arrangements and concepts for international nuclear emergency management, particularly international communications, coordination and decision-making. Importantly, these exercises established a recognised international nuclear emergency exercise culture. The most recent exercise, INEX 3, was developed in response to international interest in longer term post-emergency issues. Conducted in 2005-2006, INEX 3 focused on later-phase consequence management issues following discovery of serious radio-logical contamination in the environment. The post-exercise evaluation identified several aspects of national consequence management which would benefit from international cooperation, and to which the international community could usefully contribute as part of planning and preparedness. (author)

  7. Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

    International Nuclear Information System (INIS)

    Chou, Jui-Sheng; Ngo, Ngoc-Tri

    2016-01-01

    Highlights: • This study develops a novel time-series sliding window forecast system. • The system integrates metaheuristics, machine learning and time-series models. • Site experiment of smart grid infrastructure is installed to retrieve real-time data. • The proposed system accurately predicts energy consumption in residential buildings. • The forecasting system can help users minimize their electricity usage. - Abstract: Smart grids are a promising solution to the rapidly growing power demand because they can considerably increase building energy efficiency. This study developed a novel time-series sliding window metaheuristic optimization-based machine learning system for predicting real-time building energy consumption data collected by a smart grid. The proposed system integrates a seasonal autoregressive integrated moving average (SARIMA) model and metaheuristic firefly algorithm-based least squares support vector regression (MetaFA-LSSVR) model. Specifically, the proposed system fits the SARIMA model to linear data components in the first stage, and the MetaFA-LSSVR model captures nonlinear data components in the second stage. Real-time data retrieved from an experimental smart grid installed in a building were used to evaluate the efficacy and effectiveness of the proposed system. A k-week sliding window approach is proposed for employing historical data as input for the novel time-series forecasting system. The prediction system yielded high and reliable accuracy rates in 1-day-ahead predictions of building energy consumption, with a total error rate of 1.181% and mean absolute error of 0.026 kW h. Notably, the system demonstrates an improved accuracy rate in the range of 36.8–113.2% relative to those of the linear forecasting model (i.e., SARIMA) and nonlinear forecasting models (i.e., LSSVR and MetaFA-LSSVR). Therefore, end users can further apply the forecasted information to enhance efficiency of energy usage in their buildings, especially

  8. A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series.

    Science.gov (United States)

    Chambon, Stanislas; Galtier, Mathieu N; Arnal, Pierrick J; Wainrib, Gilles; Gramfort, Alexandre

    2018-04-01

    Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of the signal of a sleep stage, based on the visual inspection of signals such as electroencephalograms (EEGs), electrooculograms (EOGs), electrocardiograms, and electromyograms (EMGs). We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or extracting handcrafted features, that exploits all multivariate and multimodal polysomnography (PSG) signals (EEG, EMG, and EOG), and that can exploit the temporal context of each 30-s window of data. For each modality, the first layer learns linear spatial filters that exploit the array of sensors to increase the signal-to-noise ratio, and the last layer feeds the learnt representation to a softmax classifier. Our model is compared to alternative automatic approaches based on convolutional networks or decisions trees. Results obtained on 61 publicly available PSG records with up to 20 EEG channels demonstrate that our network architecture yields the state-of-the-art performance. Our study reveals a number of insights on the spatiotemporal distribution of the signal of interest: a good tradeoff for optimal classification performance measured with balanced accuracy is to use 6 EEG with 2 EOG (left and right) and 3 EMG chin channels. Also exploiting 1 min of data before and after each data segment offers the strongest improvement when a limited number of channels are available. As sleep experts, our system exploits the multivariate and multimodal nature of PSG signals in order to deliver the state-of-the-art classification performance with a small computational cost.

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

    Science.gov (United States)

    Akpinar, Yavuz

    2007-01-01

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

  10. Interdisciplinarity and Hermeneutics as Pedagogical Resources for the Elaboration of Learning Projects

    Directory of Open Access Journals (Sweden)

    Lizbeth Teresa Villamizar Vega

    2017-08-01

    Full Text Available The so-called Learning Projects (AP are considered a methodological strategy conceived in the school and for the school, that must be elaborated in a school year product of a collaborative work between the educative community: students, teachers and managers, but where some teachers Have no clear idea of the linkage they can give to the syllabus contents of the subjects they teach with the learning project, they also do not know that interdisciplinarity and hermeneutics are pedagogical resources that will enable both teachers and students to seek the answer to What does their daily action mean? It is here that the need for a holistic view of the teachers who manage the different curricular units in the technical schools is recognized, where they must search through the APs That the students demonstrate their ability to grant new knowledge, instrumental functionality and usefulness to solve present and future problems that can create critical, reflective, humanistic, liberating and environmental human beings that benefit the community where they are immersed, Where the solution of the problem is solved with the interpretation of the transmitted knowledge, as well as with the new interdisciplinary competences to look for real solutions to real problems.

  11. Using best practices in designing a lifelong learning strategy for human resources in Romania

    Directory of Open Access Journals (Sweden)

    Dorel Mihai Paraschiv

    2013-06-01

    Full Text Available Starting from the understanding that society as a whole can not move forward without sufficient incentives, we initiated this research aiming to identify good practices in formulating strategies on lifelong learning in order to emphasize the need to create a stable framework for the development and training of human resources. Considering that in the last decade there has been a growing desire among higher education graduates to study abroad after their mobility period and showed the willingness to engage in the labor market in other european countries, we think that the proposed research theme fully justify its relevance, in terms of the need to create medium and long term strategies in order to ensure compliance with the next european regulations framework and a set of elements that have the capacity to regain the qualified romanian human resources employed abroad. Without a european workforce that is able to respond promptly to training tasks throughout life, Romania and after that Europe will not gain the skills needed to achieve an competitive advantage among other world economies. In this respect, we think that the present theme is sufficiently anchored in the realities of our contemporary society on the one hand and on the other hand requires to identify the concrete measures that could be put in place in order to improve the issues presented.

  12. Decision Support Systems for Water Resources Management in Developing Countries: Learning from Experiences in Africa

    Directory of Open Access Journals (Sweden)

    Carlo Giupponi

    2013-06-01

    Full Text Available Decision support system (DSS tools are rather popular in the literature on water resources management. The European Project “Splash” conducted a survey of the literature and of DSS implementation in developing countries with specific reference on Africa. Experts in the field were consulted through an ad hoc questionnaire and interviews. The results of the survey indicate that the exchange of experiences amongst projects with similar objectives or even the same case study is very limited, with a tendency towards restarting every time from scratch. As a consequence, it seems that DSS developments have produced only limited positive impacts. Most experts contacted shared either the frustration deriving from the limited impacts on intended end-users, who rarely used the tool after the project end, or in the case of ongoing projects, the preoccupation for future maintenance. Responses from the questionnaires indicate that priority efforts should not focus on developing the tools, but rather on improving the effectiveness and applicability of integrated water resource management legislative and planning frameworks, training and capacity building, networking and cooperation, harmonization of transnational data infrastructures and, very importantly, learning from past experiences and adopting enhanced protocols for DSS development.

  13. Ecosystem-learning blended training for enterprises and assist in the university. Assessment of student resource

    Directory of Open Access Journals (Sweden)

    Emilio ÁLVAREZ ARREGUI

    2011-12-01

    Full Text Available 0 0 1 134 740 Instituto Universitario de Ciencias de la Educación 6 1 873 14.0 Normal 0 21 false false false ES JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:ES; mso-fareast-language:EN-US;} In this work we present the results obtained in an innovation project that is part of a longitudinal study on ecosystems Training we are developing in collaboration with the University of Algarve and other centers of innovation (Innobridge, Switzerland and Valnalón, Spain. This time we present the assessment of the resources employed students perform in various degrees and courses at the Faculty of Teacher Training and Education at the University of Oviedo. The sample consisted of 120 students and the methodology is quantitative. Results indicate a positive assessment of the context blended learning teaching and technological resources and human resources used because they facilitate knowledge management in a collaborative manner between the educational agents involved and the participation of outside professionals that ecosystem project training the workplace.

  14. A Series of MATLAB Learning Modules to Enhance Numerical Competency in Applied Marine Sciences

    Science.gov (United States)

    Fischer, A. M.; Lucieer, V.; Burke, C.

    2016-12-01

    Enhanced numerical competency to navigate the massive data landscapes are critical skills students need to effectively explore, analyse and visualize complex patterns in high-dimensional data for addressing the complexity of many of the world's problems. This is especially the case for interdisciplinary, undergraduate applied marine science programs, where students are required to demonstrate competency in methods and ideas across multiple disciplines. In response to this challenge, we have developed a series of repository-based data exploration, analysis and visualization modules in MATLAB for integration across various attending and online classes within the University of Tasmania. The primary focus of these modules is to teach students to collect, aggregate and interpret data from large on-line marine scientific data repositories to, 1) gain technical skills in discovering, accessing, managing and visualising large, numerous data sources, 2) interpret, analyse and design approaches to visualise these data, and 3) to address, through numerical approaches, complex, real-world problems, that the traditional scientific methods cannot address. All modules, implemented through a MATLAB live script, include a short recorded lecture to introduce the topic, a handout that gives an overview of the activities, an instructor's manual with a detailed methodology and discussion points, a student assessment (quiz and level-specific challenge task), and a survey. The marine science themes addressed through these modules include biodiversity, habitat mapping, algal blooms and sea surface temperature change and utilize a series of marine science and oceanographic data portals. Through these modules students, with minimal experience in MATLAB or numerical methods are introduced to array indexing, concatenation, sorting, and reshaping, principal component analysis, spectral analysis and unsupervised classification within the context of oceanographic processes, marine geology and

  15. Failure prediction using machine learning and time series in optical network.

    Science.gov (United States)

    Wang, Zhilong; Zhang, Min; Wang, Danshi; Song, Chuang; Liu, Min; Li, Jin; Lou, Liqi; Liu, Zhuo

    2017-08-07

    In this paper, we propose a performance monitoring and failure prediction method in optical networks based on machine learning. The primary algorithms of this method are the support vector machine (SVM) and double exponential smoothing (DES). With a focus on risk-aware models in optical networks, the proposed protection plan primarily investigates how to predict the risk of an equipment failure. To the best of our knowledge, this important problem has not yet been fully considered. Experimental results showed that the average prediction accuracy of our method was 95% when predicting the optical equipment failure state. This finding means that our method can forecast an equipment failure risk with high accuracy. Therefore, our proposed DES-SVM method can effectively improve traditional risk-aware models to protect services from possible failures and enhance the optical network stability.

  16. Transportation Energy Futures Series: Alternative Fuel Infrastructure Expansion: Costs, Resources, Production Capacity, and Retail Availability for Low-Carbon Scenarios

    Energy Technology Data Exchange (ETDEWEB)

    Melaina, W. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Heath, Garvin [National Renewable Energy Lab. (NREL), Golden, CO (United States); Sandor, Debra [National Renewable Energy Lab. (NREL), Golden, CO (United States); Steward, Darlene [National Renewable Energy Lab. (NREL), Golden, CO (United States); Vimmerstedt, Laura [National Renewable Energy Lab. (NREL), Golden, CO (United States); Warner, Ethan [National Renewable Energy Lab. (NREL), Golden, CO (United States); Webster, Karen W. [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2013-04-01

    The petroleum-based transportation fuel system is complex and highly developed, in contrast to the nascent low-petroleum, low-carbon alternative fuel system. This report examines how expansion of the low-carbon transportation fuel infrastructure could contribute to deep reductions in petroleum use and greenhouse gas (GHG) emissions across the U.S. transportation sector. Three low-carbon scenarios, each using a different combination of low-carbon fuels, were developed to explore infrastructure expansion trends consistent with a study goal of reducing transportation sector GHG emissions to 80% less than 2005 levels by 2050.These scenarios were compared to a business-as-usual (BAU) scenario and were evaluated with respect to four criteria: fuel cost estimates, resource availability, fuel production capacity expansion, and retail infrastructure expansion.

  17. Design of multiple representations e-learning resources based on a contextual approach for the basic physics course

    Science.gov (United States)

    Bakri, F.; Muliyati, D.

    2018-05-01

    This research aims to design e-learning resources with multiple representations based on a contextual approach for the Basic Physics Course. The research uses the research and development methods accordance Dick & Carey strategy. The development carried out in the digital laboratory of Physics Education Department, Mathematics and Science Faculty, Universitas Negeri Jakarta. The result of the process of product development with Dick & Carey strategy, have produced e-learning design of the Basic Physics Course is presented in multiple representations in contextual learning syntax. The appropriate of representation used in the design of learning basic physics include: concept map, video, figures, data tables of experiment results, charts of data tables, the verbal explanations, mathematical equations, problem and solutions example, and exercise. Multiple representations are presented in the form of contextual learning by stages: relating, experiencing, applying, transferring, and cooperating.

  18. Learning from environmental data: Methods for analysis of forest nutrition time series

    Energy Technology Data Exchange (ETDEWEB)

    Sulkava, M. (Helsinki Univ. of Technology, Espoo (Finland). Computer and Information Science)

    2008-07-01

    Data analysis methods play an important role in increasing our knowledge of the environment as the amount of data measured from the environment increases. This thesis fits under the scope of environmental informatics and environmental statistics. They are fields, in which data analysis methods are developed and applied for the analysis of environmental data. The environmental data studied in this thesis are time series of nutrient concentration measurements of pine and spruce needles. In addition, there are data of laboratory quality and related environmental factors, such as the weather and atmospheric depositions. The most important methods used for the analysis of the data are based on the self-organizing map and linear regression models. First, a new clustering algorithm of the self-organizing map is proposed. It is found to provide better results than two other methods for clustering of the self-organizing map. The algorithm is used to divide the nutrient concentration data into clusters, and the result is evaluated by environmental scientists. Based on the clustering, the temporal development of the forest nutrition is modeled and the effect of nitrogen and sulfur deposition on the foliar mineral composition is assessed. Second, regression models are used for studying how much environmental factors and properties of the needles affect the changes in the nutrient concentrations of the needles between their first and second year of existence. The aim is to build understandable models with good prediction capabilities. Sparse regression models are found to outperform more traditional regression models in this task. Third, fusion of laboratory quality data from different sources is performed to estimate the precisions of the analytical methods. Weighted regression models are used to quantify how much the precision of observations can affect the time needed to detect a trend in environmental time series. The results of power analysis show that improving the

  19. Performance Evaluation of Machine Learning Methods for Leaf Area Index Retrieval from Time-Series MODIS Reflectance Data

    Science.gov (United States)

    Wang, Tongtong; Xiao, Zhiqiang; Liu, Zhigang

    2017-01-01

    Leaf area index (LAI) is an important biophysical parameter and the retrieval of LAI from remote sensing data is the only feasible method for generating LAI products at regional and global scales. However, most LAI retrieval methods use satellite observations at a specific time to retrieve LAI. Because of the impacts of clouds and aerosols, the LAI products generated by these methods are spatially incomplete and temporally discontinuous, and thus they cannot meet the needs of practical applications. To generate high-quality LAI products, four machine learning algorithms, including back-propagation neutral network (BPNN), radial basis function networks (RBFNs), general regression neutral networks (GRNNs), and multi-output support vector regression (MSVR) are proposed to retrieve LAI from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data in this study and performance of these machine learning algorithms is evaluated. The results demonstrated that GRNNs, RBFNs, and MSVR exhibited low sensitivity to training sample size, whereas BPNN had high sensitivity. The four algorithms performed slightly better with red, near infrared (NIR), and short wave infrared (SWIR) bands than red and NIR bands, and the results were significantly better than those obtained using single band reflectance data (red or NIR). Regardless of band composition, GRNNs performed better than the other three methods. Among the four algorithms, BPNN required the least training time, whereas MSVR needed the most for any sample size. PMID:28045443

  20. The moderating role of team resources in translating nursing teams' accountability into learning and performance: a cross-sectional study.

    Science.gov (United States)

    Rashkovits, Sarit; Drach-Zahavy, Anat

    2017-05-01

    The aim of this study was to test the moderated-mediation model suggesting that nursing teams' accountability affects team effectiveness by enhancing team learning when relevant resources are available to the team. Disappointing evidence regarding improvement in nurses' safe and quality care elevate the need in broadening our knowledge regarding the factors that enhance constant learning in nursing teams. Accountability is considered as crucial for team learning and quality of care but empirical findings have shown mixed evidence. A cross-sectional design. Forty-four nursing teams participated in the study. Data were collected in 2013-2014: Head nurses completed validated questionnaires, regarding team resources for learning (time availability, team autonomy and team performance feedback), and nursing teams' effectiveness; and nurses answered questionnaires regarding teams' accountability and learning (answers were aggregated to the team level). The model was tested using a moderated-mediation analysis with resources as moderating variables, and team learning as the mediator in the team accountability-team effectiveness link. The results of a mixed linear regression show that, as expected, nursing teams' accountability was positively linked to nursing teams' learning, when time availability, and team autonomy were high rather than low, and team performance feedback was low rather than high. Nurturing team accountability is not enough for achieving team learning and subsequent team effectiveness. Rather there is a need to provide nursing teams with adequate time, autonomy, and be cautious with performance feedback, as the latter may motivate nurses to repeat routine work strategies rather than explore improved ones. © 2016 John Wiley & Sons Ltd.

  1. Influence of Instructional Resources in Learning Agriculture in Secondary School on Employment Creation in Vihiga County, Kenya

    Science.gov (United States)

    Aholi, Seraphine Sherry; Konyango, Jacob J. J. Ochieng'; Kibett, Joash K.

    2018-01-01

    The purpose of this study was to determine the influence of instructional resources in learning agriculture in secondary school on employment creation in Vihiga County, Kenya. The study was conducted in Emuhaya Constituency, and it adopted qualitative research design using descriptive survey method. The target population was the youth who learnt…

  2. Two Studies of the Empirical Basis of Two Learning Resource-Oriented Motivational Strategies for Gifted Educators

    Science.gov (United States)

    Vladut, Anamaria; Vialle, Wilma; Ziegler, Albert

    2016-01-01

    Two learning resource-oriented motivational strategies for gifted educators are introduced: a homeostatic orientation that aims for balance and an allostatic orientation that aims at growth. In order to establish the empirical basis of these motivational strategies, two studies were conducted with samples of students from a specialized…

  3. Enhanced machine learning scheme for energy efficient resource allocation in 5G heterogeneous cloud radio access networks

    KAUST Repository

    Alqerm, Ismail

    2018-02-15

    Heterogeneous cloud radio access networks (H-CRAN) is a new trend of 5G that aims to leverage the heterogeneous and cloud radio access networks advantages. Low power remote radio heads (RRHs) are exploited to provide high data rates for users with high quality of service requirements (QoS), while high power macro base stations (BSs) are deployed for coverage maintenance and low QoS users support. However, the inter-tier interference between the macro BS and RRHs and energy efficiency are critical challenges that accompany resource allocation in H-CRAN. Therefore, we propose a centralized resource allocation scheme using online learning, which guarantees interference mitigation and maximizes energy efficiency while maintaining QoS requirements for all users. To foster the performance of such scheme with a model-free learning, we consider users\\' priority in resource blocks (RBs) allocation and compact state representation based learning methodology to enhance the learning process. Simulation results confirm that the proposed resource allocation solution can mitigate interference, increase energy and spectral efficiencies significantly, and maintain users\\' QoS requirements.

  4. Maternal Perceptions of the Importance of Needs and Resources for Children with Asperger Syndrome and Nonverbal Learning Disorders.

    Science.gov (United States)

    Little, Liza

    2003-01-01

    A survey examined the perceptions of 404 mothers on the availability and importance of various resources for their children (ages 4-17) with Asperger syndrome or nonverbal learning disorder. A significant number (20-30%) reported that pragmatics training, social skills training, smaller classes, or a trained aide were not made available. (Contains…

  5. What Is the Moral Imperative of Workplace Learning: Unlocking the DaVinci Code of Human Resource Development?

    Science.gov (United States)

    Short, Tom

    2006-01-01

    In the course of the author's doctoral study, he is exploring the strategic linkages between learning activities in the modern workplace and the long-term success they bring to organisations. For many years, this challenge has been the Holy Grail of human resource (HR) development practitioners, who invest heavily on training and professional…

  6. Rich open educational resources for personal and inquiry learning : Agile creation, sharing and reuse in educational social media platforms

    NARCIS (Netherlands)

    Rodríguez-Triana, María Jesús; Govaerts, Sten; Halimi, Wissam; Holzer, Adrian; Salzmann, Christophe; Vozniuk, Andrii; De Jong, Ton; Sotirou, Sofoklis; Gillet, Denis

    2015-01-01

    Open Educational Resources (OERs) are freely accessible, openly licensed multimedia documents or interactive tools that can be typically integrated in Learning Management Systems to support courses. With social media platforms becoming the central piece of the students' digital ecosystem, there is

  7. Dramatically Bringing down the Cost of Education with OER: How Open Education Resources Unlock the Door to Free Learning

    Science.gov (United States)

    Wiley, David; Green, Cable; Soares, Louis

    2012-01-01

    The nation is in the midst of a revolution in education. For the first time in human history, tools to enable everyone to attain all the education they desire are available. And best of all this education is available at almost no cost. The key to this sea of change in learning is open education resources, or OER. OER are educational materials…

  8. Design and Implementation of a Pilot Obesity Prevention Program in a Low-Resource School: Lessons Learned and Research Recommendations

    Science.gov (United States)

    Baskin, Monica L.; Zunker, Christie; Worley, Courtney B.; Dial, Brenda; Kimbrough, Linda

    2009-01-01

    Purpose: This paper seeks to describe the design, implementation, and lessons learned from an obesity prevention pilot program delivered in a low resource school in the USA. Design/methodology/approach: A planned program evaluation was conducted to: document explicitly the process of designing and implementing the program; and assess the…

  9. How the Organizational Learning Process Mediates the Impact of Strategic Human Resource Management Practices on Performance in Korean Organizations

    Science.gov (United States)

    Cho, Sei Hyoung; Song, Ji Hoon; Yun, Suk Chun; Lee, Cheol Ki

    2013-01-01

    The primary purpose of this research is to examine the structural relationships among several workplace-related constructs, including strategic human resource management (HRM) practices, organizational learning processes, and performance improvement in the Korean business context. More specifically, the research examined the mediating effect of…

  10. Analysis of Perceived Stress, Coping Resources and Life Satisfaction among Students at a Newly Established Institution of Higher Learning

    Science.gov (United States)

    Mudhovozi, P.

    2011-01-01

    A survey was conducted to analyse perceived stress, coping resources and life satisfaction among university students at an institution of higher learning. Seventy-three students randomly selected from third year Social Sciences class participated in the study. A self-report questionnaire was administered to the participants. The results showed…

  11. Laboratory simulation of water-resources conservation by means of the layout of a series of ponds along a streambank

    Science.gov (United States)

    Jean, Jiin-Shuh; Hung, Chao-Chi

    The purpose of this research is to describe a water-storage method that is more reliable than reservoirs, and to study the efficacy of interception and storage of surface runoff in ponds. In this method, a series of ponds is laid out along a streambank so that interception of surface runoff can be increased and more water can be stored in the wet season for use in the dry season. The simulated results show that the structure of a pond, vegetation and the extent of land development, topographic slope, and the degree to which a pond penetrates an aquifer affect the efficacy of interception and storage of surface runoff in ponds. Résumé Le but de ce travail est de décrire une méthode de stockage d'eau qui soit plus sure que les réservoirs, et d'étudier l'efficacité de l'interception et du stockage d'eau de ruissellement dans des bassins. Dans cette méthode, une série de bassins est disposée le long d'une berge de rivière de façon à ce que l'interception de l'écoulement de surface puisse être accrue et que plus d'eau puisse être stockée pendant la saison humide pour être utilisée en saison sèche. Les résultats de la simulation montrent que l'efficacité de l'interception et du stockage du ruissellement dans les bassins sont déterminés par la structure du bassin, la végétation et l'importance du développement agricole, la pente des versants et le degré de pénétration du bassin dans la nappe. Resumen El objetivo de este trabajo es describir un método de almacenamiento de agua que ofrece mayor garantía que los embalses, así como estudiar la eficacia de la intercepción y almacenamiento de la escorrentía superficial en pequeñas lagunas artificiales. Este método consiste en crear una serie de lagunas a lo largo de las riberas de un torrente, de manera que intercepción de la escorrentía superficial se pueda incrementar y se almacene más agua en la época húmeda para su utilización en la época seca. Los resultados simulados muestran

  12. Multivariate Time Series Forecasting of Crude Palm Oil Price Using Machine Learning Techniques

    Science.gov (United States)

    Kanchymalay, Kasturi; Salim, N.; Sukprasert, Anupong; Krishnan, Ramesh; Raba'ah Hashim, Ummi

    2017-08-01

    The aim of this paper was to study the correlation between crude palm oil (CPO) price, selected vegetable oil prices (such as soybean oil, coconut oil, and olive oil, rapeseed oil and sunflower oil), crude oil and the monthly exchange rate. Comparative analysis was then performed on CPO price forecasting results using the machine learning techniques. Monthly CPO prices, selected vegetable oil prices, crude oil prices and monthly exchange rate data from January 1987 to February 2017 were utilized. Preliminary analysis showed a positive and high correlation between the CPO price and soy bean oil price and also between CPO price and crude oil price. Experiments were conducted using multi-layer perception, support vector regression and Holt Winter exponential smoothing techniques. The results were assessed by using criteria of root mean square error (RMSE), means absolute error (MAE), means absolute percentage error (MAPE) and Direction of accuracy (DA). Among these three techniques, support vector regression(SVR) with Sequential minimal optimization (SMO) algorithm showed relatively better results compared to multi-layer perceptron and Holt Winters exponential smoothing method.

  13. Robotics as a resource to facilitate the learning and general skills development

    Directory of Open Access Journals (Sweden)

    Flor Ángela Bravo Sánchez

    2012-07-01

    Full Text Available Normal.dotm 0 0 1 127 729 Universidad de Salamanca 6 1 895 12.0 0 false 18 pt 18 pt 0 0 false false false /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} The growing importance of technology in the world today and its continuous development, makes the technology becomes an integral part of the formation process in childhood and youth. For this reason is important to develop proposals that are offered to children and young people to come into contact with new technologies, that is possible through the use of software and hardware tools, such as robotic prototypes and specialized programs for educational purposes This paper shows the importance of the use of robotics as a learning tool and presents the typical stages that must be confronted in implementing educational robotics projects in the classroom. It also presents an educational robotics project called "Mundo Robotica" which seeks to involve robotics in the classroom through practical activities and learning resources, all this is articulated from a virtual platform.

  14. Assessing the role of learning devices and geovisualisation tools for collective action in natural resource management: Experiences from Vietnam.

    Science.gov (United States)

    Castella, Jean-Christophe

    2009-02-01

    In northern Vietnam uplands the successive policy reforms that accompanied agricultural decollectivisation triggered very rapid changes in land use in the 1990s. From a centralized system of natural resource management, a multitude of individual strategies emerged which contributed to new production interactions among farming households, changes in landscape structures, and conflicting strategies among local stakeholders. Within this context of agrarian transition, learning devices can help local communities to collectively design their own course of action towards sustainable natural resource management. This paper presents a collaborative approach combining a number of participatory methods and geovisualisation tools (e.g., spatially explicit multi-agent models and role-playing games) with the shared goal to analyse and represent the interactions between: (i) decision-making processes by individual farmers based on the resource profiles of their farms; (ii) the institutions which regulate resource access and usage; and (iii) the biophysical and socioeconomic environment. This methodological pathway is illustrated by a case study in Bac Kan Province where it successfully led to a communication platform on natural resource management. In a context of rapid socioeconomic changes, learning devices and geovisualisation tools helped embed the participatory approach within a process of community development. The combination of different tools, each with its own advantages and constraints, proved highly relevant for supporting collective natural resource management.

  15. Lessons Learned from Creating the Public Earthquake Resource Center at CERI

    Science.gov (United States)

    Patterson, G. L.; Michelle, D.; Johnston, A.

    2004-12-01

    The Center for Earthquake Research and Information (CERI) at the University of Memphis opened the Public Earthquake Resource Center (PERC) in May 2004. The PERC is an interactive display area that was designed to increase awareness of seismology, Earth Science, earthquake hazards, and earthquake engineering among the general public and K-12 teachers and students. Funding for the PERC is provided by the US Geological Survey, The NSF-funded Mid America Earthquake Center, and the University of Memphis, with input from the Incorporated Research Institutions for Seismology. Additional space at the facility houses local offices of the US Geological Survey. PERC exhibits are housed in a remodeled residential structure at CERI that was donated by the University of Memphis and the State of Tennessee. Exhibits were designed and built by CERI and US Geological Survey staff and faculty with the help of experienced museum display subcontractors. The 600 square foot display area interactively introduces the basic concepts of seismology, real-time seismic information, seismic network operations, paleoseismology, building response, and historical earthquakes. Display components include three 22" flat screen monitors, a touch sensitive monitor, 3 helicorder elements, oscilloscope, AS-1 seismometer, life-sized liquefaction trench, liquefaction shake table, and building response shake table. All displays include custom graphics, text, and handouts. The PERC website at www.ceri.memphis.edu/perc also provides useful information such as tour scheduling, ask a geologist, links to other institutions, and will soon include a virtual tour of the facility. Special consideration was given to address State science standards for teaching and learning in the design of the displays and handouts. We feel this consideration is pivotal to the success of any grass roots Earth Science education and outreach program and represents a valuable lesson that has been learned at CERI over the last several

  16. PredMP: A Web Resource for Computationally Predicted Membrane Proteins via Deep Learning

    KAUST Repository

    Wang, Sheng

    2018-02-06

    Experimental determination of membrane protein (MP) structures is challenging as they are often too large for nuclear magnetic resonance (NMR) experiments and difficult to crystallize. Currently there are only about 510 non-redundant MPs with solved structures in Protein Data Bank (PDB). To elucidate the MP structures computationally, we developed a novel web resource, denoted as PredMP (http://52.87.130.56:3001/#/proteinindex), that delivers one-dimensional (1D) annotation of the membrane topology and secondary structure, two-dimensional (2D) prediction of the contact/distance map, together with three-dimensional (3D) modeling of the MP structure in the lipid bilayer, for each MP target from a given model organism. The precision of the computationally constructed MP structures is leveraged by state-of-the-art deep learning methods as well as cutting-edge modeling strategies. In particular, (i) we annotate 1D property via DeepCNF (Deep Convolutional Neural Fields) that not only models complex sequence-structure relationship but also interdependency between adjacent property labels; (ii) we predict 2D contact/distance map through Deep Transfer Learning which learns the patterns as well as the complex relationship between contacts/distances and protein features from non-membrane proteins; and (iii) we model 3D structure by feeding its predicted contacts and secondary structure to the Crystallography & NMR System (CNS) suite combined with a membrane burial potential that is residue-specific and depth-dependent. PredMP currently contains more than 2,200 multi-pass transmembrane proteins (length<700 residues) from Human. These transmembrane proteins are classified according to IUPHAR/BPS Guide, which provides a hierarchical organization of receptors, channels, transporters, enzymes and other drug targets according to their molecular relationships and physiological functions. Among these MPs, we estimated that our approach could predict correct folds for 1

  17. Recursos no ambiente familiar e dificuldades de aprendizagem na escola Home resources and school learning difficulties

    Directory of Open Access Journals (Sweden)

    Edna Maria Marturano

    1999-08-01

    Full Text Available Recursos do ambiente familiar, que favorecem o desempenho escolar, incluem materiais educacionais e envolvimento parental. Realizou-se um estudo com o objetivo de investigar esses recursos em uma amostra clínica de 100 crianças, encaminhadas por dificuldades na aprendizagem escolar. Os dados foram coletados durante entrevista com a mãe, por meio de um roteiro para sondagem de recursos e circunstâncias adversas. À criança era solicitado um texto a partir de um desenho. A análise estatística incluiu análise de regressão, correlação e comparação entre médias de subgrupos constituídos segundo idade, atraso escolar e desempenho na escrita. Os resultados indicaram que o nível de elaboração da escrita está positivamente associado à disponibilidade de livros e brinquedos, enquanto o atraso escolar está negativamente associado à organização das rotinas e à diversidade de atividades compartilhadas com os pais. Circunstâncias adversas têm associação positiva com atraso. Os resultados são discutidos quanto à sua aplicabilidade em programas de orientação psicopedagógica às famílias.Home resources which promote school achievement include educational materials and parent involvement with children's schooling. A study was performed with the aim of investigating these resources in a clinical sample of 100 children, who were referred for school learning problems. The data were collected with the mother, by means of a interview designed for the assessment of home resources and adversities. The child was asked to write a text from a drawing. Statistical analysis included regression analysis, correlation and comparisons between groups formed by age, school backwardness, and writing performance. Results indicated that writing level is positively related with the provision of books and toys, while school backwardness is negatively related with regularity in the use of time and with diversity of activities shared with parents

  18. Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901-2010)

    Science.gov (United States)

    Meshram, Sarita Gajbhiye; Singh, Sudhir Kumar; Meshram, Chandrashekhar; Deo, Ravinesh C.; Ambade, Balram

    2017-12-01

    Trend analysis of long-term rainfall records can be used to facilitate better agriculture water management decision and climate risk studies. The main objective of this study was to identify the existing trends in the long-term rainfall time series over the period 1901-2010 utilizing 12 hydrological stations located at the Ken River basin (KRB) in Madhya Pradesh, India. To investigate the different trends, the rainfall time series data were divided into annual and seasonal (i.e., pre-monsoon, monsoon, post-monsoon, and winter season) sub-sets, and a statistical analysis of data using the non-parametric Mann-Kendall (MK) test and the Sen's slope approach was applied to identify the nature of the existing trends in rainfall series for the Ken River basin. The obtained results were further interpolated with the aid of the Quantum Geographic Information System (GIS) approach employing the inverse distance weighted approach. The results showed that the monsoon and the winter season exhibited a negative trend in rainfall changes over the period of study, and this was true for all stations, although the changes during the pre- and the post-monsoon seasons were less significant. The outcomes of this research study also suggest significant decreases in the seasonal and annual trends of rainfall amounts in the study period. These findings showing a clear signature of climate change impacts on KRB region potentially have implications in terms of climate risk management strategies to be developed during major growing and harvesting seasons and also to aid in the appropriate water resource management strategies that must be implemented in decision-making process.

  19. The effects of learned resourcefulness on performance: the role of impression management tactics

    OpenAIRE

    Keles, Hatice Necla

    2014-01-01

       The  main  goal  of  this  study  is  to  investigate  the  effects  of  learned  resourcefulness  on   performance   and   to   determine   the   mediator   role   of   impression   management  tactics,   defined   as   “the   process   in   which   people   attempt   to   influence   the  perceptions  of  others”.  The  sample  used  in  this  study  consisted  of  people  between  the  ages  of  20  and  50,  who  were  employed  at  a  private  bank  in  Istanbul  (n=110).  The   measu...

  20. A cooperative online learning scheme for resource allocation in 5G systems

    KAUST Repository

    Alqerm, Ismail; Shihada, Basem

    2016-01-01

    The demand on mobile Internet related services has increased the need for higher bandwidth in cellular networks. The 5G technology is envisioned as a solution to satisfy this demand as it provides high data rates and scalable bandwidth. The multi-tier heterogeneous structure of 5G with dense base station deployment, relays, and device-to-device (D2D) communications intends to serve users with different QoS requirements. However, the multi-tier structure causes severe interference among the multi-tier users which further complicates the resource allocation problem. In this paper, we propose a cooperative scheme to tackle the interference problem, including both cross-tier interference that affects macro users from other tiers and co-tier interference, which is among users belong to the same tier. The scheme employs an online learning algorithm for efficient spectrum allocation with power and modulation adaptation capability. Our evaluation results show that our online scheme outperforms others and achieves significant improvements in throughput, spectral efficiency, fairness, and outage ratio. © 2016 IEEE.

  1. A cooperative online learning scheme for resource allocation in 5G systems

    KAUST Repository

    Alqerm, Ismail

    2016-07-26

    The demand on mobile Internet related services has increased the need for higher bandwidth in cellular networks. The 5G technology is envisioned as a solution to satisfy this demand as it provides high data rates and scalable bandwidth. The multi-tier heterogeneous structure of 5G with dense base station deployment, relays, and device-to-device (D2D) communications intends to serve users with different QoS requirements. However, the multi-tier structure causes severe interference among the multi-tier users which further complicates the resource allocation problem. In this paper, we propose a cooperative scheme to tackle the interference problem, including both cross-tier interference that affects macro users from other tiers and co-tier interference, which is among users belong to the same tier. The scheme employs an online learning algorithm for efficient spectrum allocation with power and modulation adaptation capability. Our evaluation results show that our online scheme outperforms others and achieves significant improvements in throughput, spectral efficiency, fairness, and outage ratio. © 2016 IEEE.

  2. Lessons Learned from Native C.I.R.C.L.E., a Culturally Specific Resource.

    Science.gov (United States)

    Garcia, Andrea; Baethke, Lisa; Kaur, Judith S

    2017-12-01

    Cancer is now the second leading cause of death among American Indians and Alaska Natives (AIAN), and trends in cancer-related mortality over the past 2 decades show inferior control in AIAN compared to non-Hispanic Whites. The American Indian/Alaska Native Cancer Information Resource Center and Learning Exchange (Native C.I.R.C.L.E.) was developed in the year 2000 as part of a comprehensive network of partnerships to develop, maintain, and disseminate culturally appropriate cancer and other health information materials for AIAN educators and providers. Now, in its 15th year of existence, enough data has been accumulated by Native C.I.R.C.L.E. to analyze trends in the distribution of culturally relevant cancer information materials and compare access to both printed (hard copy) and online materials. The amount of culturally appropriate materials available since its creation has increased more than 10-fold. Print materials are now distributed throughout the world, and the number of materials requested from print and downloads combined are in the thousands on a monthly basis. Native C.I.R.C.L.E. is in the process of expanding its access and capabilities to target more of the lay AIAN public in order to address the digital divide.

  3. The Future of STEM Curriculum and Instructional Design: A Research and Development Agenda for Learning Designers. Report of a Workshop Series

    Science.gov (United States)

    Center for the Study of Mathematics Curriculum, 2012

    2012-01-01

    In 2009-10 a series of Workshops was organized to focus on STEM (science, technology, engineering, and mathematics) learning design for young students and adolescents. The objective was to provide visionary leadership to the education community by: (a) identifying and analyzing the needs and opportunities for future STEM curriculum development and…

  4. Feedback control stabilization of critical dynamics via resource transport on multilayer networks: How glia enable learning dynamics in the brain

    Science.gov (United States)

    Virkar, Yogesh S.; Shew, Woodrow L.; Restrepo, Juan G.; Ott, Edward

    2016-10-01

    Learning and memory are acquired through long-lasting changes in synapses. In the simplest models, such synaptic potentiation typically leads to runaway excitation, but in reality there must exist processes that robustly preserve overall stability of the neural system dynamics. How is this accomplished? Various approaches to this basic question have been considered. Here we propose a particularly compelling and natural mechanism for preserving stability of learning neural systems. This mechanism is based on the global processes by which metabolic resources are distributed to the neurons by glial cells. Specifically, we introduce and study a model composed of two interacting networks: a model neural network interconnected by synapses that undergo spike-timing-dependent plasticity; and a model glial network interconnected by gap junctions that diffusively transport metabolic resources among the glia and, ultimately, to neural synapses where they are consumed. Our main result is that the biophysical constraints imposed by diffusive transport of metabolic resources through the glial network can prevent runaway growth of synaptic strength, both during ongoing activity and during learning. Our findings suggest a previously unappreciated role for glial transport of metabolites in the feedback control stabilization of neural network dynamics during learning.

  5. The building blocks of a resource-based theory of business start-ups : A mixed methods approach to investigate the interaction between markets, institutions, and entrepreneurial learning

    NARCIS (Netherlands)

    A.A. Corradi (Ariane Agnes)

    2014-01-01

    textabstractFirm dynamics are commonly explained through learning processes by evolutionary economics and resource-based theories of the firm. The literature, however, also highlights the methodological difficulty to unpack learning. With the support of cognitive-behavioural theories of learning and

  6. Lessons Learned from Implementing E-Learning for the Education of Health Professionals in Resource-Constrained Countries

    Science.gov (United States)

    Gupta, Manu; Marsden, Sophie; Oluka, Tony; Sharma, Reetu; Lucas, Henry

    2017-01-01

    The growing global demand for tertiary education has led to the increased use of e-learning approaches around the world. Demand has increased most rapidly in low and middle income countries (LMICs), which account for half of the students currently enrolled in higher educational institutions (HEIs). But the implementation of e-learning programmes…

  7. The Local Territory as a Resource for Learning Science: A Proposal for the Design of Teaching-learning Sequences in Science Education

    OpenAIRE

    González-Weil, C.; Merino-Rubilar, C.; Ahumada, G.; Arenas, A.; Salinas, V.; Bravo, P.

    2014-01-01

    The present work arises from the need to reform Science Education, particularly through the contextualization of teaching. It is proposed to achieve this through the use of local territory as a resource for the design of teaching-learning-sequences (TLS). To do this, an interdisciplinary group of researchers and teachers from a Secondary School created a Professional Circle for Reflection on Teaching, which constructed an emerging conceptualization of Territory, analyzed the possibil...

  8. Implicit Sequence Learning and Contextual Cueing Do Not Compete for Central Cognitive Resources

    Science.gov (United States)

    Jimenez, Luis; Vazquez, Gustavo A.

    2011-01-01

    Sequence learning and contextual cueing explore different forms of implicit learning, arising from practice with a structured serial task, or with a search task with informative contexts. We assess whether these two learning effects arise simultaneously when both remain implicit. Experiments 1 and 2 confirm that a cueing effect can be observed…

  9. Improving the Achievement of Second Year Natural Resource Management Students of Madawalabu University through Cooperative Learning

    Science.gov (United States)

    Abdulahi, Mohammed Mussa; Hashim, Hakim; Kawo, Mohammed

    2017-01-01

    The purpose of this action research is to improve the achievement of students in general and, to examine the perception of students and teachers about cooperative learning, to identify major factors affecting the implementation of cooperative learning and to identify the possible strategies used to improve cooperative learning in Madawalabu…

  10. The contributing student: Learners as co-developers of learning resources for reuse in Web environments.

    NARCIS (Netherlands)

    Collis, Betty; Moonen, J.C.M.M.; Hung, David; Khine, Myint Swe

    2005-01-01

    Learners can and do become engaged in learning through intrinsic motivations without the need for a teacher or instructional designer. In the workplace, for example, workplace learning is typically seen as a process of such self-guided learning, based on the needs of the task at hand. In the school

  11. Student differences in regulation strategies and their use of learning resources: implications for educational design

    NARCIS (Netherlands)

    Bos, Nynke; Brand-Gruwel, Saskia

    2018-01-01

    The majority of the learning analytics research focuses on the prediction of course performance and modeling student behaviors with a focus on identifying students who are at risk of failing the course. Learning analytics should have a stronger focus on improving the quality of learning for all

  12. Flipping Business Education: Transformative Use of Team-Based Learning in Human Resource Management Classrooms

    Science.gov (United States)

    Huang, Chung-Kai; Lin, Chun-Yu

    2017-01-01

    With the globalization of macro-economic environments, it is important to think about how to use instructional design and web-based digital technologies to enhance students' self-paced learning, stir up learning motivation and enjoyment, build up knowledge-sharing channels, and enhance individual learning. This study experimented with the flipped…

  13. Sophisticated Online Learning Scheme for Green Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks

    KAUST Repository

    Alqerm, Ismail; Shihada, Basem

    2018-01-01

    is implemented using two approaches: centralized, where the resource allocation is processed at a controller integrated with the baseband processing unit and decentralized, where macro BSs cooperate to achieve optimal resource allocation strategy. To foster

  14. The Potential of eLearning in the Spatial Information Sciences: a resource for Continuing Professional Development.

    OpenAIRE

    Mooney, Kevin; Martin, Audrey

    2004-01-01

    National mapping agencies have at their disposal a number of resources for the continuing professional development of their staff. These range from attendance at full-time University programmes to short in-house tutorials and workshops. The Dublin Institute of Technology has recently developed an eLearning course in ‘Co-ordinate reference systems for spatial information’ and piloted it with staff of Ordnance Survey Ireland and the Department of Lands and Surveys, Nicosia, Cyprus. This paper e...

  15. COMPARISON THE NUMBER OF BACTERIA BETWEEN WASHING HANDS USING SOAP AND HAND SANITIZER AS A BACTERIOLOGY LEARNING RESOURCE FOR STUDENTS

    OpenAIRE

    Satya Darmayani; Askrening Askrening; Apita Ariyani

    2017-01-01

    Hands are the principal carriers of bacterial diseases, therefore very important to know that washing hands with soap or hand sanitizer is highly effective healthy behaviors to reduce bacteria in the palm. This study aimed to determine the total number of bacteria between washing hands with soap and hand sanitizer, also applying the results of these studies as a learning resource in bacteriology. The research design was the true experiment with pretest-posttest control group research design a...

  16. Job resources and emotional exhaustion: The mediating role of learning opportunities

    NARCIS (Netherlands)

    Ruysseveldt, J. van; Verboon, P.; Smulders, P.G.W.

    2011-01-01

    The Job Demands-Resources model predicts that job demands increase and job resources decrease emotional exhaustion in employees. In this study, we investigated one possible mechanism for this, in order to provide a deeper insight into the role of job resources in this energy-depletion process. We

  17. Game Plan: In Part One of This Two-Part Series, Technology & Learning Looks at the Challenges of Using Games to Teach

    Science.gov (United States)

    McLester, Susan

    2005-01-01

    When one considers it was only 10 or so years ago that some experts were questioning the appropriateness of multimedia and other "frills" as learning tools, it's not surprising that the idea of using games as a core instructional resource remains controversial. But in an age in which major corporations and the U.S. military are relying on…

  18. The ICR96 exon CNV validation series: a resource for orthogonal assessment of exon CNV calling in NGS data [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Shazia Mahamdallie

    2017-05-01

    Full Text Available Detection of deletions and duplications of whole exons (exon CNVs is a key requirement of genetic testing. Accurate detection of this variant type has proved very challenging in targeted next-generation sequencing (NGS data, particularly if only a single exon is involved. Many different NGS exon CNV calling methods have been developed over the last five years. Such methods are usually evaluated using simulated and/or in-house data due to a lack of publicly-available datasets with orthogonally generated results. This hinders tool comparisons, transparency and reproducibility. To provide a community resource for assessment of exon CNV calling methods in targeted NGS data, we here present the ICR96 exon CNV validation series. The dataset includes high-quality sequencing data from a targeted NGS assay (the TruSight Cancer Panel together with Multiplex Ligation-dependent Probe Amplification (MLPA results for 96 independent samples. 66 samples contain at least one validated exon CNV and 30 samples have validated negative results for exon CNVs in 26 genes. The dataset includes 46 exon CNVs in BRCA1, BRCA2, TP53, MLH1, MSH2, MSH6, PMS2, EPCAM or PTEN, giving excellent representation of the cancer predisposition genes most frequently tested in clinical practice. Moreover, the validated exon CNVs include 25 single exon CNVs, the most difficult type of exon CNV to detect. The FASTQ files for the ICR96 exon CNV validation series can be accessed through the European-Genome phenome Archive (EGA under the accession number EGAS00001002428.

  19. Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine Learning Approach

    Directory of Open Access Journals (Sweden)

    Pannimpullath R. Renosh

    2017-12-01

    Full Text Available Hydro-sedimentary numerical models have been widely employed to derive suspended particulate matter (SPM concentrations in coastal and estuarine waters. These hydro-sedimentary models are computationally and technically expensive in nature. Here we have used a computationally less-expensive, well-established methodology of self-organizing maps (SOMs along with a hidden Markov model (HMM to derive profiles of suspended particulate inorganic matter (SPIM. The concept of the proposed work is to benefit from all available data sets through the use of fusion methods and machine learning approaches that are able to process a growing amount of available data. This approach is applied to two different data sets entitled “Hidden” and “Observable”. The hidden data are composed of 15 months (27 September 2007 to 30 December 2008 of hourly SPIM profiles extracted from the Regional Ocean Modeling System (ROMS. The observable data include forcing parameter variables such as significant wave heights ( H s and H s 50 (50 days from the Wavewatch 3-HOMERE database and barotropic currents ( U b a r and V b a r from the Iberian–Biscay–Irish (IBI reanalysis data. These observable data integrate hourly surface samples from 1 February 2002 to 31 December 2012. The time-series profiles of the SPIM have been derived from four different stations in the English Channel by considering 15 months of output hidden data from the ROMS as a statistical representation of the ocean for ≈11 years. The derived SPIM profiles clearly show seasonal and tidal fluctuations in accordance with the parent numerical model output. The surface SPIM concentrations of the derived model have been validated with satellite remote sensing data. The time series of the modeled SPIM and satellite-derived SPIM show similar seasonal fluctuations. The ranges of concentrations for the four stations are also in good agreement with the corresponding satellite data. The high accuracy of the

  20. Developing media and information literacy education to improve foreign language learning : working with Internet resources at advanced levels

    Directory of Open Access Journals (Sweden)

    Joanna Górecka

    2011-01-01

    Full Text Available The aim of the paper is to discuss the relevance of media and information education in language learning at advanced levels. The present paper is based on the empirical data obtained during the action-research conducted with the Romance philology students attending the course of French as a foreign language. The main object of the research is to establish to what degree an oral argumentation task, preceded by the task of planning the discussion on Wiki is considered to be a learning situation by students themselves. The research focuses on a selected aspect of the learning process, namely, on the use of media resources while negotiating the discussion outline and specifically, while negotiating its topic, objectives and its cognitive value. The principal conclusions indicate 1 that the task scenario should be based on the critical and dialogical approach to media and 2 that this kind of instruction can reinforce the argumentative dimension of the discussion.

  1. Games as an educational resource in the teaching and learning of mathematics: an educational experiment in Portuguese middle schools

    Science.gov (United States)

    Campos, Helena; Moreira, Rute

    2016-04-01

    This article is based on an experiment using the game 'Caminhando e Calculando' (Moving and Calculating) in order to analyse the potential of the game as an educational resource for the teaching and learning of mathematics in Portuguese middle schools, where most students are 10 or 11 years old. Students' data obtained during the games will be used to analyse the different options used for solving the game, identifying its potential and its weaknesses. We start with a theoretical analysis of games as an inherent element of human culture. Combining our innate desire for fun with the different types of teaching and learning styles allows for fun and knowledge to be combined into more efficient and meaningful types of knowledge. Playing games are a primordial aspect of what it means to be a child and they develop within a motivating environment; therefore, not to take advantage of games as a learning resource would be to neglect an important asset. With regard to mathematics, emphasis will be given to the advantages that this teaching and learning tool provides for certain mathematical processes, such as problem-solving.

  2. Distributions, ex situ conservation priorities, and genetic resource potential of crop wild relatives of sweetpotato [Ipomoea batatas (L. Lam., I. series Batatas

    Directory of Open Access Journals (Sweden)

    Colin Kahlil Khoury

    2015-04-01

    Full Text Available Crop wild relatives of sweetpotato [Ipomoea batatas (L. Lam., I. series Batatas] have the potential to contribute to breeding objectives for this important root crop. Uncertainty in regard to species boundaries and their phylogenetic relationships, the limited availability of germplasm with which to perform crosses, and the difficulty of introgression of genes from wild species has constrained their utilization. Here we compile geographic occurrence data on relevant sweetpotato wild relatives and produce potential distribution models for the species. We then assess the comprehensiveness of ex situ germplasm collections, contextualize these results with research and breeding priorities, and use ecogeographic information to identify species with the potential to contribute desirable agronomic traits. The fourteen species that are considered the closest wild relatives of sweetpotato generally occur from the central United States to Argentina, with richness concentrated in Mesoamerica and in the extreme southeastern United States. Currently designated species differ among themselves and in comparison to the crop in their adaptations to temperature, precipitation, and edaphic characteristics and most species also show considerable intraspecific variation. With 79% of species identified as high priority for further collecting, we find that these crop genetic resources are highly under-represented in ex situ conservation systems and thus their availability to breeders and researchers is inadequate. We prioritize taxa and specific geographic locations for further collecting in order to improve the completeness of germplasm collections. In concert with enhanced conservation of sweetpotato wild relatives, further taxonomic research, characterization and evaluation of germplasm, and improving the techniques to overcome barriers to introgression with wild species are needed in order to mobilize these genetic resources for crop breeding.

  3. Distributions, ex situ conservation priorities, and genetic resource potential of crop wild relatives of sweetpotato [Ipomoea batatas (L.) Lam., I. series Batatas].

    Science.gov (United States)

    Khoury, Colin K; Heider, Bettina; Castañeda-Álvarez, Nora P; Achicanoy, Harold A; Sosa, Chrystian C; Miller, Richard E; Scotland, Robert W; Wood, John R I; Rossel, Genoveva; Eserman, Lauren A; Jarret, Robert L; Yencho, G C; Bernau, Vivian; Juarez, Henry; Sotelo, Steven; de Haan, Stef; Struik, Paul C

    2015-01-01

    Crop wild relatives of sweetpotato [Ipomoea batatas (L.) Lam., I. series Batatas] have the potential to contribute to breeding objectives for this important root crop. Uncertainty in regard to species boundaries and their phylogenetic relationships, the limited availability of germplasm with which to perform crosses, and the difficulty of introgression of genes from wild species has constrained their utilization. Here, we compile geographic occurrence data on relevant sweetpotato wild relatives and produce potential distribution models for the species. We then assess the comprehensiveness of ex situ germplasm collections, contextualize these results with research and breeding priorities, and use ecogeographic information to identify species with the potential to contribute desirable agronomic traits. The fourteen species that are considered the closest wild relatives of sweetpotato generally occur from the central United States to Argentina, with richness concentrated in Mesoamerica and in the extreme Southeastern United States. Currently designated species differ among themselves and in comparison to the crop in their adaptations to temperature, precipitation, and edaphic characteristics and most species also show considerable intraspecific variation. With 79% of species identified as high priority for further collecting, we find that these crop genetic resources are highly under-represented in ex situ conservation systems and thus their availability to breeders and researchers is inadequate. We prioritize taxa and specific geographic locations for further collecting in order to improve the completeness of germplasm collections. In concert with enhanced conservation of sweetpotato wild relatives, further taxonomic research, characterization and evaluation of germplasm, and improving the techniques to overcome barriers to introgression with wild species are needed in order to mobilize these genetic resources for crop breeding.

  4. Leveling the Playing Field: Giving Girls An Equal Chance for Basic Education--Three Countries' Efforts. EDI Learning Resources Series.

    Science.gov (United States)

    Stromquist, Nelly; Murphy, Paud

    This booklet examines the efforts of Pakistan, Bangladesh and Malawi to increase the enrollment of girls in their schools. Each country has severe problems of access to education for girls; the gender gap in the gross enrollment rate at the primary school level is at least 10 percentage points in each country. What is noteworthy about these three…

  5. Modelling effects of forest disturbance history on carbon balance: a deep learning approach using Landsat-time series.

    Science.gov (United States)

    Besnard, S.; Carvalhais, N.; Clevers, J.; Dutrieux, L.; Gans, F.; Herold, M.; Reichstein, M.; Jung, M.

    2017-12-01

    Forests play a crucial role in the global carbon (C) cycle, covering about 30% of the planet's terrestrial surface, accounting for 50% of plant productivity, and storing 45% of all terrestrial C. As such, forest disturbances affect the balance of terrestrial C dioxide (CO 2 ) exchange, with the potential of releasing large amounts of C into the atmosphere. Understanding and quantifying the effect of forest disturbance on terrestrial C metabolism is critical for improving forest C balance estimates and predictions. Here we combine remote sensing, climate, and eddy-covariance (EC) data to study forest land surface-atmosphere C fluxes at more than 180 sites globally. We aim to enhance understanding of C balance in forest ecosystems by capturing the ecological carry-over effect of disturbance historyon C fluxes. Our objectives are to (1) characterize forest disturbance history through the full temporal depth of the Landsat time series (LTS); and (2) to investigate lag and carry-over effects of forest dynamics and climate on ecosystem C fluxes using a data-driven recurrent neural network(RNN). The resulting data-driven model integrates carry-over effects of the system, using LTS, ecosystem productivity, and several abiotic factors. In this study, we show that our RNN algorithm is able to effectively calculate realistic seasonal, interannual, and across-site C flux variabilities based on EC, LTS, and climate data. In addition, our results demonstrate that a deep learning approach with embedded dynamic memory effects offorest dynamics is able to better capture lag and carry-over effects due to soil-vegetation feedback compared to a classic approach considering only the current condition of the ecosystem. Our study paves the way to produce accurate, high resolution carbon fluxes maps, providing morecomprehensive monitoring, mapping, and reporting of the carbon consequences of forest change globally.

  6. Developing nursing and midwifery students' capacity for coping with bullying and aggression in clinical settings: Students' evaluation of a learning resource.

    Science.gov (United States)

    Hogan, Rosemarie; Orr, Fiona; Fox, Deborah; Cummins, Allison; Foureur, Maralyn

    2018-03-01

    An innovative blended learning resource for undergraduate nursing and midwifery students was developed in a large urban Australian university, following a number of concerning reports by students on their experiences of bullying and aggression in clinical settings. The blended learning resource included interactive online learning modules, comprising film clips of realistic clinical scenarios, related readings, and reflective questions, followed by in-class role-play practice of effective responses to bullying and aggression. On completion of the blended learning resource 210 participants completed an anonymous survey (65.2% response rate). Qualitative data was collected and a thematic analysis of the participants' responses revealed the following themes: 'Engaging with the blended learning resource'; 'Responding to bullying' and 'Responding to aggression'. We assert that developing nursing and midwifery students' capacity to effectively respond to aggression and bullying, using a self-paced blended learning resource, provides a solution to managing some of the demands of the clinical setting. The blended learning resource, whereby nursing and midwifery students were introduced to realistic portrayals of bullying and aggression in clinical settings, developed their repertoire of effective responding and coping skills for use in their professional practice. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. Student differences in regulation strategies and their use of learning resources: implications for educational design

    OpenAIRE

    Bos, Nynke; Brand-Gruwel, Saskia

    2018-01-01

    The majority of the learning analytics research focuses on the prediction of course performance and modeling student behaviors with a focus on identifying students who are at risk of failing the course. Learning analytics should have a stronger focus on improving the quality of learning for all students, not only identifying at risk students. In order to do so, we need to understand what successful patterns look like when reflected in data and subsequently adjust the course design to avoid un...

  8. Human capital and human resource management to achieve ambidextrous learning: A structural perspective

    Directory of Open Access Journals (Sweden)

    Mirta Diaz-Fernandez

    2017-01-01

    Full Text Available Organisational learning has become increasingly important for strategic renewal. Ambidextrous organisations are especially successful in the current environment, where firms are required to be efficient and adapt to change. Using a structural approach, this study discusses arguments about the nature of ambidexterity and identifies the kinds of human capital that better support specific learning types and HRM practices suited to these components of human capital. Results highlight learning differences between marketing and production units, as well as different HRM practices and human capital orientations. This study points out that human capital mediates between HRM practices and learning.

  9. Understanding pharmacokinetics: are YouTube videos a useful learning resource?

    Science.gov (United States)

    Azer, S A

    2014-07-01

    To investigate whether YouTube videos on pharmacokinetics can be a useful learning resource for medical students. YouTube was searched from 01 November to 15 November 2013 for search terms "Pharmacokinetics", "Drug absorption", "Drug distribution", Drug metabolism", "Drug elimination", "Biliary excretion of drugs", and "Renal excretion of drugs".  Only videos in the English and those matching the inclusion criteria were included. For each video, the following characteristic data were collected: title, URL, duration, number of viewers, date uploaded, and viewership per day, like, dislike, number of comments, number of video sharing, and the uploader /creator. Using standardized criteria comprising technical, content, authority and pedagogy parameters, three evaluators independently assessed the videos for educational usefulness. Data were analyzed using SPSS software and the agreement between the evaluators was calculated using Cohen's kappa analysis. The search identified 1460 videos. Of these, only 48 fulfilled the inclusion criteria. Only 30 were classified as educationally useful videos (62.5%) scoring 13.83±0.45 (mean±SD) while the remaining 18 videos were not educationally useful (37.5%) scoring 6.48±1.64 (mean±SD), p = 0.000. The educationally useful videos were created by pharmacologists/educators 83.3% (25/30), professors from two universities 13.3% (04/30) and private tutoring body 3.3% (01/30). The useful videos were viewed by 12096 (65.4%) and had a total of 433332 days on YouTube, while the non-educationally useful videos were viewed by 6378 (34.6%) viewers and had 20684 days on YouTube. No correlation was found between video total score and number of like (R2 0.258), dislike (R2 0.103), viewers (R2 0.186), viewership/day (R2 0.256), comments (R2 0.250), or share (R2 0.174). The agreement between the three evaluators had an overall Cohen's kappa score in the range of 0.582-0.949. YouTube videos on pharmacokinetics and drug elimination showed a

  10. Stimulating Informal Learning Activities Through Perceptions of Performance Appraisal Quality and Human Resource Management System Strength: A Two-Wave Study

    NARCIS (Netherlands)

    Bednall, T.; Sanders, K.; Runhaar, P.R.

    2014-01-01

    Employees' participation in informal learning activities benefits their workplace performance, and ultimately their long-term career development. While research has identified several individual- and organizational-level factors that promote participation, to date, the role of human resource

  11. Climate Change and Sustainability Open Educational Resources: Lessons learned and challenges to tackle

    Science.gov (United States)

    Robinson, Zoe; Whitfield, Stephen; Gertisser, Ralf; Krause, Stefan; McKay, Deirdre; Pringle, Jamie; Szkornik, Katie; Waller, Richard

    2010-05-01

    The UK's Higher Education Academy Subject Centre for Geography, Earth and Environmental Sciences (GEES) is currently running a project entitled ‘C-Change in GEES: Open licensing of climate change and sustainability resources in the Geography, Earth and Environmental Sciences' as part of a national Open Educational Resource project. The C-Change project aims to explore the challenges involved in ‘repurposing' existing teaching materials on the topics of climate change and sustainability to make them open access. This project has produced an open access resource of diverse climate change and sustainability-related teaching materials across the subjects of Geography, Earth and Environmental Sciences. The process of repurposing existing face-to-face teaching resources requires consideration of a wide variety of issues including the Intellectual Property Rights (IPR) associated with images and other material included in the teaching resources, in addition to issues of quality, accessibility and usability of resources. Open access education is an issue that will have implications across the whole of the organizational structure of a university, from legal advisors with commitments to University research and enterprise activities, to the academics wishing to produce open access resources, through to all levels of senior management. The attitudes, concerns and openness to Open Educational Resources of stakeholders from all positions within a HE institution will have implications for the participation of that institution within the OER movement. The many barriers to the whole-scale adoption of Open Educational Resources within the UK Higher Education system and the willingness of UK Higher Education Institutions to engage in the OER movement include institutional perspectives on the IPR of teaching materials developed by members of staff within the institution and financial viability, in addition to more sceptical attitudes of potential contributors. Keele University is

  12. A Model of Flexible Learning: Exploring Interdependent Relationships Between Students, Lecturers, Resources and Contexts in Virtual Spaces

    Directory of Open Access Journals (Sweden)

    John Raymond Bostock

    2018-04-01

    Full Text Available In flexible and open models of education students and lecturers experience a virtual sense of separation that is caused by more than physical distance between students and lecturers. Transactional distance is “a psychological and communications gap, a space of potential misunderstanding between the inputs of lecturer and those of the student” created in part by the physical distance inherent to online learning (Moore 1991, p. 2. a large transactional distance such as that between geographically dispersed students and lecturers in an asynchronous, text-based, online learning environment may contribute to students’ feelings of isolation and disconnectedness, which can lead to reduced levels of motivation and engagement and consequently attrition. When designing e-learning experiences lecturers must consider two variables that affect transactional distance: structure and dialogue. Structure refers to the flexibility or rigidity of the pedagogical methods and strategies used in an e-learning experience. Dialogue refers to the interaction between the lecturer and student during an e-learning experience. Moore does not suggest that either structure or dialogue are inherently good things. Each may be appropriate in different circumstances and a typical educational event such as a conventional lecture will, at a micro-level, move constantly between the two. Another dimension of the theory suggests that more autonomous students, being self-directed, are better able to cope with more structure while less autonomous students benefit more from greater dialogue. This paper explores a proposed model of flexible learning which attempts to inform practitioners of the fluid, interdependent relationships between students, resources, contexts and lecturers. This helps explain and justify a reconceptualisation of the role of the lecturer and suggests how social activity is also pivotal in successful learning outcomes for students.

  13. Electronic Human Resource Management: Organizational Responses to Role Conflicts Created by e-Learning

    Science.gov (United States)

    Oiry, Ewan

    2009-01-01

    Could enthusiasm for e-learning be dampened because it is detrimental to the relationships between those undergoing e-training and their direct managers or colleagues? Interviews conducted in four French banks provide material to explore this question. We see that e-learning has increasingly been adopted because it goes beyond the role limitations…

  14. Action Learning on the Edge: Contributing to a Master's Programme in Human Resources for Health

    Science.gov (United States)

    Edmonstone, John; Robson, Jean

    2014-01-01

    This account of practice describes the introduction of an accredited postgraduate management qualification which used action learning as a major contribution to a blended learning approach in a fragile cross-border setting on the edge of Europe. Conventional management education has frequently been challenged on the grounds of relevance, efficacy…

  15. Parents and Siblings As Early Resources for Young Children's Learning in Mexican-Descent Families.

    Science.gov (United States)

    Perez-Granados, Deanne R.; Callanan, Maureen A.

    1997-01-01

    Interviews with parents from 50 Mexican-descent families revealed that parents encouraged their preschool children to ask questions about science and causal relationships; older and younger siblings learned different skills from one another; and children learned through observation and imitation. Discusses issues of "match" between home…

  16. Open Educational Resources in Support of Science Learning: Tools for Inquiry and Observation

    Science.gov (United States)

    Scanlon, Eileen

    2012-01-01

    This article focuses on the potential of free tools, particularly inquiry tools for influencing participation in twenty-first-century learning in science, as well as influencing the development of communities around tools. Two examples are presented: one on the development of an open source tool for structured inquiry learning that can bridge the…

  17. Mobile Resource Use in a Distance Learning Population: What Are They Really Doing on Those Devices?

    Science.gov (United States)

    Gebb, Billie Anne; Young, Zach

    2014-01-01

    Mobile device use has been soaring in recent years in all user groups. Mobile learning is no longer an optional activity for academic institutions, but a necessary endeavor. Developing a curriculum around mobile learning is essential, particularly for distance-based, non-traditional students. Understanding how students use their mobile devices is…

  18. A Resource Manual for Community College Faculty to Support Students with Learning Disabilities

    Science.gov (United States)

    Cheng, Laura

    2013-01-01

    According to the 23rd Annual Report to Congress, U.S. Department of Education, one out of every five people in the United States has a learning disability (LD). The dropout rate among these students is high, and students with learning disabilities are also less likely to attend 4-year colleges and universities. Although a majority of students with…

  19. The Learning Projects of Rural Third Age Women: Enriching a Valuable Community Resource

    Science.gov (United States)

    Lear, Glenna

    2011-01-01

    As a third age PhD candidate with a passion for learning, I wanted to explore the learning of other rural third age women who live on the Lower Eyre Peninsula (LEP) of South Australia. This reflects the methodological stance of heuristic inquiry, which requires the researcher to have a passionate interest in the phenomena under investigation, and…

  20. Taking Stock: Existing Resources for Assessing a New Vision of Science Learning

    Science.gov (United States)

    Alonzo, Alicia C.; Ke, Li

    2016-01-01

    A new vision of science learning described in the "Next Generation Science Standards"--particularly the science and engineering practices and their integration with content--pose significant challenges for large-scale assessment. This article explores what might be learned from advances in large-scale science assessment and…

  1. Florida's Work-Based Learning and Child Labor Law. Resource Guide.

    Science.gov (United States)

    Florida State Univ., Tallahassee. School-to-Work Clearinghouse.

    This guide was developed to address issues related to work-based learning experiences at an employer's worksite and to explain when and how federal and state (Florida) labor laws and minimum wage provisions apply. It includes the following documents: "Definitions of Terms--Work Based Learning" (Institute for Workforce Competitiveness);…

  2. Sectoral patterns of interactive learning : an empirical exploration using an extended resource based model

    NARCIS (Netherlands)

    Meeus, M.T.H.; Oerlemans, L.A.G.; Hage, J.

    1999-01-01

    This paper pursues the development of a theoretical framework that explains interactive learning between innovating firms and external actors in the knowledge infrastructure and the production chain. The research question is: what kinds of factors explain interactive learning of innovating firms

  3. Multimedia Open Educational Resources in Mathematics for High School Students with Learning Disabilities

    Science.gov (United States)

    Park, Sanghoon; McLeod, Kenneth

    2018-01-01

    Open Educational Resources (OER) can offer educators the necessary flexibility for tailoring educational resources to better fit their educational goals. Although the number of OER repositories is growing fast, few studies have been conducted to empirically test the effectiveness of OER integration in the classroom. Furthermore, very little is…

  4. From Research Resources to Learning Objects: Process Model and Virtualization Experiences

    Science.gov (United States)

    Sierra, Jose Luis; Fernandez-Valmayor, Alfredo; Guinea, Mercedes; Hernanz, Hector

    2006-01-01

    Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long periods of time by different types of "domain experts" (e.g. lecturers and researchers). Although the potential educational value of these resources is very…

  5. Interaction between the Learners' Initial Grasp of the Object of Learning and the Learning Resource Afforded

    Science.gov (United States)

    Pang, Ming Fai; Marton, Ference

    2013-01-01

    Two studies are reported in this paper. The object of learning in both is the economic principle of changes in price as a function of changes in the relative magnitude of changes in demand and supply. The patterns of variation and invariance, defining the conditions compared were built into pedagogical tools (text, graphs, and worksheets). The…

  6. Educating for Active Citizenship: Service-Learning, School-Based Service and Youth Civic Engagement. Youth Helping America Series

    Science.gov (United States)

    Spring, Kimberly; Dietz, Nathan; Grimm, Robert, Jr.

    2006-01-01

    This brief is the second in the Youth Helping America Series, a series of reports based on data from the Youth Volunteering and Civic Engagement Survey, a national survey of 3,178 American youth between the ages of 12 and 18 that was conducted by the Corporation for National and Community Service in 2005 in collaboration with the U.S. Census…

  7. Potential Teachers' Appropriate and Inappropriate Application of Pedagogical Resources in a Model-Based Physics Course: A "Knowledge in Pieces" Perspective on Teacher Learning

    Science.gov (United States)

    Harlow, Danielle B.; Bianchini, Julie A.; Swanson, Lauren H.; Dwyer, Hilary A.

    2013-01-01

    We used a "knowledge in pieces" perspective on teacher learning to document undergraduates' pedagogical resources in a model-based physics course for potential teachers. We defined pedagogical resources as small, discrete ideas about teaching science that are applied appropriately or inappropriately in specific contexts. Neither…

  8. A Unit on "Fahrenheit 451" That Uses Cooperative Learning (Resources and Reviews).

    Science.gov (United States)

    Ebbers, Frances A.

    1991-01-01

    Provides a curriculum unit using the novel "Fahrenheit 451" to provide student-centered activities based on solid pedagogical methodology. Emphasizes value-centered analysis of the novel, comparison of alternative arguments, and integration of cooperative learning activities. (PRA)

  9. ECG interpretation in Emergency Department residents: an update and e-learning as a resource to improve skills.

    Science.gov (United States)

    Barthelemy, Francois X; Segard, Julien; Fradin, Philippe; Hourdin, Nicolas; Batard, Eric; Pottier, Pierre; Potel, Gilles; Montassier, Emmanuel

    2017-04-01

    ECG interpretation is a pivotal skill to acquire during residency, especially for Emergency Department (ED) residents. Previous studies reported that ECG interpretation competency among residents was rather low. However, the optimal resource to improve ECG interpretation skills remains unclear. The aim of our study was to compare two teaching modalities to improve the ECG interpretation skills of ED residents: e-learning and lecture-based courses. The participants were first-year and second-year ED residents, assigned randomly to the two groups. The ED residents were evaluated by means of a precourse test at the beginning of the study and a postcourse test after the e-learning and lecture-based courses. These evaluations consisted of the interpretation of 10 different ECGs. We included 39 ED residents from four different hospitals. The precourse test showed that the overall average score of ECG interpretation was 40%. Nineteen participants were then assigned to the e-learning course and 20 to the lecture-based course. Globally, there was a significant improvement in ECG interpretation skills (accuracy score=55%, P=0.0002). However, this difference was not significant between the two groups (P=0.14). Our findings showed that the ECG interpretation was not optimal and that our e-learning program may be an effective tool for enhancing ECG interpretation skills among ED residents. A large European study should be carried out to evaluate ECG interpretation skills among ED residents before the implementation of ECG learning, including e-learning strategies, during ED residency.

  10. Italy-Japan international project-based learning for developing human resources using design of welfare equipment as a subject.

    Science.gov (United States)

    Hanafusa, A; Komeda, T; Ito, K; Zobel, P Beomonte

    2015-08-01

    Project-based learning (PBL) is effective for developing human resources of young students. The design of welfare equipment, such as wheelchairs and gait assistive devices, is taken as the subject in this study because these devices must be fit to their environment, users, and method of use; students must consider the circumstances of each country concerned. The program commenced in 2012 at L'Aquila, Italy, and the Shibaura Institute of Technology, Japan and has been continuing for three years. Students were divided into four groups and discussions were held on how to adapt the equipment to the user and environment. After discussion, they designed and simulated a model of the equipment using CAD. Finally, they presented their designs to each other. Through the program, students had fruitful discussions, exchanged ideas from different cultures, and learned from each other. Furthermore, friendships among the students were nurtured. It is believed that the objective of the program was satisfactorily accomplished.

  11. Translating research into practice: evaluation of an e-learning resource for health care professionals to provide nutrition advice and support for cancer survivors.

    Science.gov (United States)

    Murphy, Jane; Worswick, Louise; Pulman, Andy; Ford, Grainne; Jeffery, Jaana

    2015-01-01

    Nurses and other allied health professionals are in a key position to provide appropriate and consistent advice on nutritional issues to support cancer survivors. However gaps in their nutrition knowledge and education warrant the need for enhanced learning as part of their Continued Professional Development (CPD). In the UK there are currently no formally recognised nutrition education programmes. Therefore e-learning offers a solution to provide flexible learning to target this need. This study aimed to develop and evaluate the efficacy of a freely available, internet-based learning resource, for nurses and allied health professionals who provide nutrition, diet and lifestyle advice for cancer survivors. It sought to explore the attitudes and conceptions of the resource and current knowledge base of those involved in the care pathway for cancer survivors. The design and development of the e-learning resource were informed by the best available research and policy evidence and in a format to facilitate on-line learning. A robust evaluation strategy incorporated focus groups and telephone interviews to gain in depth insights into the experiences of using the resource. Themes included 'Plugging a Gap' which shows an improved knowledge base for nutrition. Information was 'All in One Place' showing that the resource was valued as being within a 'trusted' organisation. 'Everyone Benefits' illustrates how learners felt that the resource provided them with an evidence base, whilst the 'Current and Live' theme captured how professionals felt about the information being up-to-date. The project has shown the benefits of interprofessional working to develop an e-learning resource for Health Care Professionals to support cancer survivors in following healthier lifestyles. Positive attitudes and potential improvements in the knowledge base and changes for professional practice were demonstrated. Further research is required to gauge sustained impact in the work environment by

  12. Integration of Heterogeneous Information Sources into a Knowledge Resource Management System for Lifelong Learning

    NARCIS (Netherlands)

    Demidova, Elena; Ternier, Stefaan; Olmedilla, Daniel; Duval, Erik; Dicerto, Michele; Stefanov, Krassen; Sacristán, Naiara

    2007-01-01

    Demidova, E., Ternier, S., Olmedilla, D., Duval, E., Dicerto, M., Stefanov, K., et al. (2007). Integration of Heterogeneous Information Sources into a Knowledge Resource Management System for Lifelong. TENCompetence Workshop on Service Oriented Approaches and Lifelong Competence Development

  13. Classification and quality criteria for Open Educational Resources in the field of foreign language learning

    Directory of Open Access Journals (Sweden)

    Krajcso Zita

    2016-01-01

    Full Text Available Foreign language teachers use online repositories on everyday basis to find appropriate activities for their lessons. The question is: How can content providers support them in finding exactly what they need and in retrieving high quality resources?

  14. The effects of a childbirth psychoeducation program on learned resourcefulness, maternal role competence and perinatal depression: a quasi-experiment.

    Science.gov (United States)

    Ngai, Fei-Wan; Chan, Sally Wai-Chi; Ip, Wan-Yim

    2009-10-01

    Learned resourcefulness plays a significant role in facilitating maternal coping during the transition to motherhood. Given the growing evidence of perinatal depression and the frequent feeling of incompetence in the maternal role, the implementation of an effective intervention to promote maternal role competence and emotional well-being is essential. To determine the impact of a childbirth psychoeducation program based on the concept of learned resourcefulness on maternal role competence and depressive symptoms in Chinese childbearing women. A pretest-posttest, control group quasi-experimental design with repeated measures was used. The study was conducted in two regional public hospitals in Hong Kong that provide routine childbirth education programs with similar content and structure. One hospital was being randomly selected as the experimental hospital. A convenience sample of 184 Chinese pregnant women attending the childbirth education was recruited between October 2005 and April 2007. Inclusion criteria were primiparous with singleton and uneventful pregnancy, at gestation between 12 and 35 weeks, and did not have a past or familial psychiatric illness. The intervention was a childbirth psychoeducation program that was incorporated into the routine childbirth education in the experimental hospital. The experimental group (n=92) received the childbirth psychoeducation program and the routine childbirth education. The comparison group (n=92) received the routine childbirth education alone in the comparison hospital. Outcomes were measured by the Self-Control Schedule, Parenting Sense of Competence Scale-Efficacy subscale and Edinburgh Postnatal Depression Scale at baseline, immediately post-intervention, at 6 weeks and 6 months postpartum. Analysis was by intention to treat. Women receiving the childbirth psychoeducation program had significant improvement in learned resourcefulness at 6 weeks postpartum (p=0.004) and an overall reduction in depressive

  15. Video Games and Learning: Teaching and Participatory Culture in the Digital Age. Technology, Education--Connections (the TEC Series)

    Science.gov (United States)

    Squire, Kurt

    2011-01-01

    Can we learn socially and academically valuable concepts and skills from video games? How can we best teach the "gamer generation?" This accessible book describes how educators and curriculum designers can harness the participatory nature of digital media and play. The author presents a comprehensive model of games and learning that integrates…

  16. Learning as a shared responsibility: Insights from a series of dialogic workshops with practitioners, leaders, and researchers

    Science.gov (United States)

    Anne E. Black; Dave Thomas; Jennifer Ziegler; J. Saveland

    2012-01-01

    For some time now, the wildland fire community has been interested in 'organizational learning' as a way to improve safety and overall performance. For instance, in the US, federal agencies have established the Wildland Fire Lessons Learned Center, sponsored several national conferences, and are currently considering how incident reviews might be used to...

  17. ATTITUDES TOWARDS LEARNING ENGLISH: A STUDY OF MOTIVATION AND RESPONSIBILITY AS AIDS TO HUMAN RESOURCES

    Directory of Open Access Journals (Sweden)

    Monica-Ariana Sim

    2014-03-01

    Full Text Available The paper presents the results of a survey carried out at the Faculty of Economic Sciences, University of Oradea, in order to identify attitudes, beliefs, motivation and self-responsibility among students when it comes to learning the English language. The main issue investigated was motivation set at the basis of the learning process together with students’ attitudes regarding the use of English in the Romanian social and educational context, as well as the use of the English language in general. A valid questionnaire was designed and tried to a convenient sample of students; the results of the study are discussed in terms of the principal components that were established including attitude towards motivation, self-responsibility, and language learning approaches. Research and experience show that English is of utmost importance in the academic and future professional lives of students majoring in economics. Therefore, this paper provides some theoretical aspects of motivation, beliefs and responsibility in the context of second language acquisition.Among the important achievements of the study we should mention the observations of students’ behaviour concerning responsibility. It appears that most students are not ready to take complete responsibility for learning. They are either afraid of the teacher, or feel embarrassed, and are ashamed to openly utter their ideas. Thus, teamwork and pair-work facilitate the effective learning of the foreign language and encourage students’ collaboration. The teacher is not the central actor, the controller anymore; s/he becomes the facilitator and source of knowledge. It is important for the teacher to know the basic needs of his/her students and cater for these according to level of their importance, to be aware of the reasons that propel students towards learning, improving or just surviving English as a foreign language.

  18. Methodology for Dynamic Learning Resources Discovery and Retrieval from Social Media

    DEFF Research Database (Denmark)

    Petreski, Hristijian; Tsekeridou, Sofia; Prasad, Neeli R.

    2014-01-01

    more understandable. Recognizing the impact that social media and UGC exchanges have had on creating new more engaging, more natural and more motivating ways of online learning, the paper presents a well-thought methodology for dynamically discovering content, shared within social media communities....... The emergence and increased popularity of social media further contribute to these new trends of informal types of knowledge sharing and learning. Such types of online social interactions and user-generated data exchanges are felt by many as more familiar, more personal, free, friendlier, and in some cases even...

  19. Error-Induced Learning as a Resource-Adaptive Process in Young and Elderly Individuals

    Science.gov (United States)

    Ferdinand, Nicola K.; Weiten, Anja; Mecklinger, Axel; Kray, Jutta

    Thorndike described in his law of effect [44] that actions followed by positive events are more likely to be repeated in the future, whereas actions that are followed by negative outcomes are less likely to be repeated. This implies that behavior is evaluated in the light of its potential consequences, and non-reward events (i.e., errors) must be detected for reinforcement learning to take place. In short, humans have to monitor their performance in order to detect and correct errors, and this allows them to successfully adapt their behavior to changing environmental demands and acquire new behavior, i.e., to learn.

  20. Resilience design: toward a synthesis of cognition, learning, and collaboration for adaptive problem solving in conservation and natural resource stewardship

    Directory of Open Access Journals (Sweden)

    Charles G. Curtin

    2014-06-01

    Full Text Available Through the resilience design approach, I propose to extend the resilience paradigm by re-examining the components of adaptive decision-making and governance processes. The approach can be divided into three core components: (1 equity design, i.e., the integration of collaborative approaches to conservation and adaptive governance that generates effective self-organization and emergence in conservation and natural resource stewardship; (2 process design, i.e., the generation of more effective knowledge through strategic development of information inputs; and (3 outcome design, i.e., the pragmatic synthesis of the previous two approaches, generating a framework for developing durable and dynamic conservation and stewardship. The design of processes that incorporate perception and learning is critical to generating durable solutions, especially in developing linkages between wicked social and ecological challenges. Starting from first principles based on human cognition, learning, and collaboration, coupled with nearly two decades of practical experience designing and implementing ecosystem-level conservation and restoration programs, I present how design-based approaches to conservation and stewardship can be achieved. This context is critical in helping practitioners and resources managers undertake more effective policy and practice.

  1. Characteristics and critical success factors for implementing problem-based learning in a human resource-constrained country.

    Science.gov (United States)

    Giva, Karen R N; Duma, Sinegugu E

    2015-08-31

    Problem-based learning (PBL) was introduced in Malawi in 2002 in order to improve the nursing education system and respond to the acute nursing human resources shortage. However, its implementation has been very slow throughout the country. The objectives of the study were to explore and describe the goals that were identified by the college to facilitate the implementation of PBL, the resources of the organisation that facilitated the implementation of PBL, the factors related to sources of students that facilitated the implementation of PBL, and the influence of the external system of the organisation on facilitating the implementation of PBL, and to identify critical success factors that could guide the implementation of PBL in nursing education in Malawi. This is an ethnographic, exploratory and descriptive qualitative case study. Purposive sampling was employed to select the nursing college, participants and documents for review.Three data collection methods, including semi-structured interviews, participant observation and document reviews, were used to collect data. The four steps of thematic analysis were used to analyse data from all three sources. Four themes and related subthemes emerged from the triangulated data sources. The first three themes and their subthemes are related to the characteristics related to successful implementation of PBL in a human resource-constrained nursing college, whilst the last theme is related to critical success factors that contribute to successful implementation of PBL in a human resource-constrained country like Malawi. This article shows that implementation of PBL is possible in a human resource-constrained country if there is political commitment and support.

  2. THE APPLICATION OF KENDURI SKO LOCAL CULTURE AS LEARNING RESOURCES TO INCREASE HISTORY AWARENESS OF STUDENTS (CLASSROOM ACTION RESEARCH IN CLASS SOCIAL X, PUBLIC HIGH SCHOOL 2 KERINCI

    Directory of Open Access Journals (Sweden)

    Salvetri Salvetri

    2017-12-01

    Full Text Available This study aims to overcome the lack of students’ history awareness through the application of local culture of Kenduri Sko as a learning resource. The research was conducted in class X IS 3 SMA Negeri 2 Kerinci. The method used is Classroom Action Research. The results showed that: (1 teachers have implemented learning in accordance with the design of learning; (2 learning history using local culture of Kenduri Sko as a learning resource has succeeded in increasing the awareness of learners' history that is knowledge and understanding of learners about cultural change, interest in history study, pride of local culture; (3 constraints faced by partner teachers is to measure the attitudes and behaviors of learners.

  3. Federal Funds for Research and Development: Fiscal Years 1980, 1981, and 1982, Volume XXX. Final Report. Surveys of Science Resources Series.

    Science.gov (United States)

    National Science Foundation, Washington, DC. Div. of Science Resources Studies.

    This report is the 30th in a series that covers research and development (R&D) as shown in successive Presidential budgets. The Federal budget for 1982 was unusual in the extent to which it was subjected to change, reflecting the new administration's philosophy to reduce Federal spending. R&D funding data reflect the first series of 1981…

  4. Outdoor Education and Mobile Learning: An Autobiographical Narrative Using Application-Based Information and Resources

    Science.gov (United States)

    Nikolaeff, Ivan

    2016-01-01

    Although mobile learning using smartphones and applications or apps have the potential to inform and educate individuals in an outdoor environment, users may find that connectivity issues and basic knowledge of outdoor environments, including both physical and emotional, could be limited by what this technology provided. This study provided my…

  5. Making a Difference--Inclusive Learning and Teaching in Higher Education through Open Educational Resources

    Science.gov (United States)

    Hockings, Christine; Brett, Paul; Terentjevs, Mat

    2012-01-01

    Recently there has been growing concern about the ways in which professional values such as "acknowledging diversity and promoting equality of opportunity" (Higher Education Academy (HEA), 2006, p. 4) have been understood and evidenced in higher education. In this article, we outline how the Learning to Teach Inclusively open educational…

  6. Deciding Access to Work-Integrated Learning: Human Resource Professionals as Gatekeepers

    Science.gov (United States)

    Mackaway, Jacqueline; Winchester-Seeto, Theresa

    2018-01-01

    Universities, industry and professional bodies advocate work-integrated learning (WIL) as a valuable way to prepare graduates to meet the challenges of contemporary society. When organizations preference particular students over others to host on placement, the full individual and collective potential of WIL is not realized. This paper reports…

  7. Learning in/through Everyday Resistance: A Cultural-Historical Perspective on Community Resources and Curriculum

    Science.gov (United States)

    Pacheco, Mariana

    2012-01-01

    This essay addresses the value of leveraging the unique learning, thinking, and knowledge students develop in home-community spaces for school curriculum. The author explores "everyday resistance" to highlight a particular set of enacted political actions and practices in which students, families, and communities participate to negotiate the…

  8. Eastman Kodak Company: 21st Century Learning Challenge. Volunteer Resource Manual.

    Science.gov (United States)

    Strother, Wanda M.; And Others

    The Kodak 21st Century Learning Challenge is a companywide, 10-year corporate commitment to improve mathematics, science, and technology achievement for all students in the communities around Kodak's manufacturing plants. The Rochester (New York) initiative for which this training manual is presented is a partnership among Kodak, the Rochester…

  9. Nature and the Outdoor Learning Environment: The Forgotten Resource in Early Childhood Education

    Science.gov (United States)

    Cooper, Allen

    2015-01-01

    Longitudinal studies now confirm the economic, academic, and social importance of high-quality early childhood education. At the same time, a substantial body of research indicates that an outdoor learning and play environment with diverse natural elements advances and enriches all of the domains relevant to the development, health, and well-being…

  10. ElectronixTutor: An Intelligent Tutoring System with Multiple Learning Resources for Electronics

    Science.gov (United States)

    Graesser, Arthur C.; Hu, Xiangen; Nye, Benjamin D.; VanLehn, Kurt; Kumar, Rohit; Heffernan, Cristina; Heffernan, Neil; Woolf, Beverly; Olney, Andrew M.; Rus, Vasile; Andrasik, Frank; Pavlik, Philip; Cai, Zhiqiang; Wetzel, Jon; Morgan, Brent; Hampton, Andrew J.; Lippert, Anne M.; Wang, Lijia; Cheng, Qinyu; Vinson, Joseph E.; Kelly, Craig N.; McGlown, Cadarrius; Majmudar, Charvi A.; Morshed, Bashir; Baer, Whitney

    2018-01-01

    Background: The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initiative sponsored four teams that separately developed systems that covered topics in mathematics,…

  11. The Role of Blogs and Web Resources in Students' Autonomous Learning Awareness

    Science.gov (United States)

    Ballén, Diana

    2014-01-01

    This article focuses on the way in which technology-based activities may shape and characterize students' awareness of their own learning processes and their understanding of autonomy. The study was carried out at a public university in Colombia. Data collection was done through the implementation of class observations, a survey, and some focus…

  12. Student characteristics and learning environment interactions in mathematics and physics education: a resource perspective

    NARCIS (Netherlands)

    Brekelmans, M.; van den Eeden, P.; Terwel, J.; Wubbels, Th.

    1997-01-01

    In two studies, one on secondary mathematics education, the other on secondary physics education, data were collected on students' cognitive achievement and characteristics of students and their learning environment. In this chapter the findings of the two studies are brought together in secondary

  13. Family Literacy Project. Learning Centers for Parents and Children. A Resource Guide.

    Science.gov (United States)

    Crocker, M. Judith, Ed.; And Others

    This guide is intended to help adult education programs establish family literacy programs and create Family Learning Centers in Cleveland Public Schools. The information should assist program coordinators in developing educational components that offer activities to raise the self-esteem of the parents and provide them with the knowledge and…

  14. Learning to Speak with a Professional Voice: Initiating Preservice Teachers into Being a Resource for Parents

    Science.gov (United States)

    Freeman, Nancy K.; Knopf, Herman T.

    2007-01-01

    Beginning teachers of young children often express concern that their professional preparation has not adequately prepared them to work effectively with families. This remains the case in spite of literature documenting the importance of involving parents in their children's early education. This article describes a service learning project…

  15. Gesture as a Resource for Intersubjectivity in Second-Language Learning Situations

    Science.gov (United States)

    Belhiah, Hassan

    2013-01-01

    This study documents the role of hand gestures in achieving mutual understanding in second-language learning situations. The study tracks the way gesture is coordinated with talk in tutorials between two Korean students and their American teachers. The study adopts an interactional approach to the study of participants' talk and gestural…

  16. KinChem: A Computational Resource for Teaching and Learning Chemical Kinetics

    Science.gov (United States)

    da Silva, Jose´ Nunes, Jr.; Sousa Lima, Mary Anne; Silva Sousa, Eduardo Henrique; Oliveira Alexandre, Francisco Serra; Melo Leite, Antonio Jose´, Jr.

    2014-01-01

    This paper presents a piece of educational software covering a comprehensive number of topics of chemical kinetics, which is available free of charge in Portuguese and English. The software was developed to support chemistry educators and students in the teaching-learning process of chemical kinetics by using animations, calculations, and…

  17. Spreadsheets as a Transparent Resource for Learning the Mathematics of Annuities

    Science.gov (United States)

    Pournara, Craig

    2009-01-01

    The ability of mathematics teachers to decompress mathematics and to move between representations are two key features of mathematical knowledge that is usable for teaching. This article reports on four pre-service secondary mathematics teachers learning the mathematics of annuities. In working with spreadsheets students began to make sense of…

  18. Practice Stories in Natural Resource Management Continuing Professional Education: Springboards for Learning

    Science.gov (United States)

    Stummann, Cathy Brown

    2014-01-01

    The use of stories from professional experience in continuing professional education has been on the rise in many fields, often aimed at bolstering capacity through sharing professional knowledge and/or supporting reflective practice. Practice stories are also suggested to be beneficial in supporting professional learning of new concepts. These…

  19. The Power of Picturebooks: Resources that Support Language and Learning in Middle Grade Classrooms

    Science.gov (United States)

    Roser, Nancy; Martinez, Miriam; Fowler-Amato, Michelle

    2011-01-01

    This piece explores the instructional possibilities of picturebooks in middle grade classrooms, illustrating the central tenets of how to effectively introduce these resources to middle grade students. Through today's multiplicity of illustrated texts, students can discover the finest uses of language, as well as encounter images that inform,…

  20. Measuring Business Process Learning with Enterprise Resource Planning Systems to Improve the Value of Education

    Science.gov (United States)

    Monk, Ellen F.; Lycett, Mark

    2016-01-01

    Enterprise Resource Planning Systems (ERP) are very large and complex software packages that run every aspect of an organization. Increasingly, ERP systems are being used in higher education as one way to teach business processes, essential knowledge for students competing in today's business environment. Past research attempting to measure…

  1. PredMP: A Web Resource for Computationally Predicted Membrane Proteins via Deep Learning

    KAUST Repository

    Wang, Sheng; Fei, Shiyang; Zongan, Wang; Li, Yu; Zhao, Feng; Gao, Xin

    2018-01-01

    structures in Protein Data Bank (PDB). To elucidate the MP structures computationally, we developed a novel web resource, denoted as PredMP (http://52.87.130.56:3001/#/proteinindex), that delivers one-dimensional (1D) annotation of the membrane topology

  2. Hermeneutics as a Methodological Resource for Understanding Empathy in On-Line Learning Environments

    Science.gov (United States)

    Walshaw, Margaret; Duncan, Wayne

    2015-01-01

    Hermeneutics is both a philosophical tradition and a methodological resource. In this qualitative study, hermeneutics provided, simultaneously, a framework and a methodology for understanding empathy in synchronous multimedia conferencing. As a framework for the design of the study, hermeneutics supported the overriding objective to understand the…

  3. Enhancing Teaching and Learning: Libraries and Open Educational Resources in the Classroom

    Science.gov (United States)

    Davis, Erin; Cochran, Dory; Fagerheim, Britt; Thoms, Becky

    2016-01-01

    Academic libraries continually adjust services to adapt to the ever-changing landscape in higher education. In response to the broken textbook market, libraries are becoming actively involved in the open educational resources (OER) movement. Although there is not a formal program in place, librarians at Utah State University explored a…

  4. A Flexible e-Learning Resource Promoting the Critical Reading of Scientific Papers for Science Undergraduates

    Science.gov (United States)

    Letchford, Julie; Corradi, Hazel; Day, Trevor

    2017-01-01

    An important aim of undergraduate science education is to develop student skills in reading and evaluating research papers. We have designed, developed, and implemented an on-line interactive resource entitled "Evaluating Scientific Research literature" (ESRL) aimed at students from the first 2 years of the undergraduate program. In this…

  5. The Role of Open Access and Open Educational Resources: A Distance Learning Perspective

    Science.gov (United States)

    Hatzipanagos, Stylianos; Gregson, Jon

    2015-01-01

    The paper explores the role of Open Access (in licensing, publishing and sharing research data) and Open Educational Resources within Distance Education, with a focus on the context of the University of London International Programmes. We report on a case study where data were gathered from librarians and programme directors relating to existing…

  6. Audiovisual Resources in Formal and Informal Learning: Spanish and Mexican Students' Attitudes

    Science.gov (United States)

    Fombona, Javier; Pascual, Maria Angeles

    2013-01-01

    This research analyses the evolution in the effectiveness of media messages and aims to optimize the use of ICTs in educational settings. The cultural impact of television and multimedia resources is increasing as they move to the Internet with ever greater quality. The integration of visual narrative techniques with multimedia playback…

  7. Understanding learning in natural resource management : experiences with a contextualised responsive evaluation approach

    NARCIS (Netherlands)

    Kouévi, T.A.

    2013-01-01

    This dissertation may be located in the wide debate on the effectiveness of policy interventions in developing countries, in the field of natural resource management (NRM). It is especially concerned with contributing to the understanding of the limited effectiveness of fishery management

  8. Critical care in resource-poor settings: lessons learned and future directions.

    Science.gov (United States)

    Riviello, Elisabeth D; Letchford, Stephen; Achieng, Loice; Newton, Mark W

    2011-04-01

    Critical care faces the same challenges as other aspects of healthcare in the developing world. However, critical care faces an additional challenge in that it has often been deemed too costly or complicated for resource-poor settings. This lack of prioritization is not justified. Hospital care for the sickest patients affects overall mortality, and public health interventions depend on community confidence in healthcare to ensure participation and adherence. Some of the most effective critical care interventions, including rapid fluid resuscitation, early antibiotics, and patient monitoring, are relatively inexpensive. Although cost-effectiveness studies on critical care in resource-poor settings have not been done, evidence from the surgical literature suggests that even resource-intensive interventions can be cost effective in comparison to immunizations and human immunodeficiency virus care. In the developing world, where many critically ill patients are younger and have fewer comorbidities, critical care presents a remarkable opportunity to provide significant incremental benefit, arguably much more so than in the developed world. Key areas of consideration in developing critical care in resource-poor settings include: Personnel and training, equipment and support services, ethics, and research. Strategies for training and retaining skilled labor include tying education to service commitment and developing protocols for even complex processes. Equipment and support services need to focus on technologies that are affordable and sustainable. Ethical decision making must be based on data when possible and on transparent articulated policies always. Research should be performed in resource-poor settings and focus on needs assessment, prognostication, and cost effectiveness. The development of critical care in resource-poor settings will rely on the stepwise introduction of service improvements, leveraging human resources through training, a focus on sustainable

  9. Long-term prediction of chaotic time series with multi-step prediction horizons by a neural network with Levenberg-Marquardt learning algorithm

    International Nuclear Information System (INIS)

    Mirzaee, Hossein

    2009-01-01

    The Levenberg-Marquardt learning algorithm is applied for training a multilayer perception with three hidden layer each with ten neurons in order to carefully map the structure of chaotic time series such as Mackey-Glass time series. First the MLP network is trained with 1000 data, and then it is tested with next 500 data. After that the trained and tested network is applied for long-term prediction of next 120 data which come after test data. The prediction is such a way that, the first inputs to network for prediction are the four last data of test data, then the predicted value is shifted to the regression vector which is the input to the network, then after first four-step of prediction, the input regression vector to network is fully predicted values and in continue, each predicted data is shifted to input vector for subsequent prediction.

  10. Fourier Series Optimization Opportunity

    Science.gov (United States)

    Winkel, Brian

    2008-01-01

    This note discusses the introduction of Fourier series as an immediate application of optimization of a function of more than one variable. Specifically, it is shown how the study of Fourier series can be motivated to enrich a multivariable calculus class. This is done through discovery learning and use of technology wherein students build the…

  11. Emerging energy security issues: Natural gas in the Gulf Nations, An overview of Middle East resources, export potentials, and markets. Report Series No. 4

    International Nuclear Information System (INIS)

    Ripple, R.D.; Hagen, R.E.

    1995-09-01

    This paper proceeds with a presentation of the natural gas resource base of the Gulf nations of the Middle East. The resource base is put in the context of the world natural gas resource and trade flows. This is followed by a discussion of the existing and planned project to move Gulf natural gas to consuming regions. Then a discussion of the source of demand in the likely target markets for the Gulf resource follows. Next, the nature of LNG pricing is discussed. A brief summary concludes the paper

  12. An analysis of science content and representations in introductory college physics textbooks and multimodal learning resources

    Science.gov (United States)

    Donnelly, Suzanne M.

    This study features a comparative descriptive analysis of the physics content and representations surrounding the first law of thermodynamics as presented in four widely used introductory college physics textbooks representing each of four physics textbook categories (calculus-based, algebra/trigonometry-based, conceptual, and technical/applied). Introducing and employing a newly developed theoretical framework, multimodal generative learning theory (MGLT), an analysis of the multimodal characteristics of textbook and multimedia representations of physics principles was conducted. The modal affordances of textbook representations were identified, characterized, and compared across the four physics textbook categories in the context of their support of problem-solving. Keywords: college science, science textbooks, multimodal learning theory, thermodynamics, representations

  13. Global Learning and Observation to Benefit the Environment (GLOBE) Mission EARTH (GME) program delivers climate change science content, pedagogy, and data resources to K12 educators, future teachers, and professional development providers.

    Science.gov (United States)

    Ostrom, T.

    2017-12-01

    This presentation will include a series of visuals that discuss how hands-on learning activities and field investigations from the the Global Learning and Observation to Benefit the Environment (GLOBE) Mission EARTH (GME) program deliver climate change science content, pedagogy, and data resources to K12 educators, future teachers, and professional development providers. The GME program poster presentation will also show how teachers strengthen student preparation for Science, Technology, Engineering, Art and Mathematics (STEAM)-related careers while promoting diversity in the future STEM workforce. In addition to engaging students in scientific inquiry, the GME program poster will show how career exploration and preparation experiences is accomplished through direct connection to scientists and real science practices. The poster will show which hands-on learning activities that are being implemented in more than 30,000 schools worldwide, with over a million students, teachers, and scientists collecting environmental measurements using the GLOBE scientific protocols. This poster will also include how Next Generation Science Standards connect to GME learning progressions by grade strands. The poster will present the first year of results from the implementation of the GME program. Data is currently being agrigated by the east, midwest and westen regional operations.

  14. Seeking surprise : rethinking monitoring for collective learning in rural resource management

    OpenAIRE

    Guijt, I.M.

    2008-01-01

    Commonsense says that monitoring systems should be able to provide feedback that can help correct ineffective actions. But practice shows that when dealing with complex rural development issues that involve collaborative action by a changing configuration of stakeholders, monitoring practice often falls short of its potential. In this thesis, I describe my search to understand why practice is so limited and what might be needed to design monitoring processes that foster learning in concerted ...

  15. Learning to Predict Demand in a Transport-Resource Sharing Task

    Science.gov (United States)

    2015-09-01

    to make a more accurate prediction. Each tree is constructed using a bootstrapped sample of the training set (i.e., a sample that is the same size as...Belissent, J., Mines, C., Radcliffe, E. & Darashkevich, Y. (2010). Getting clever about smart cities: New opportunities require new business models...Require+New+ Business +Models/fulltext/-/E-RES56701 Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32. doi: 10.1023/A:1010933404324

  16. Supervisory Control and Data Acquisition (SCADA) Security Awareness In a Resource Constrained Learning Environment

    Science.gov (United States)

    2014-06-16

    SCADA systems are connected in some manner to the Global Information Grid ( GIG ), the requirement to educate future computer scientists, software...improves retention and understanding of the learning outcomes [6]. Due to the impact these vulnerabilities can have on the economy , military, and...implications such as what impact a persistent blackout would have on local and national economies . Once a firm understanding of the strategic impacts

  17. The availability of teaching–pedagogical resources used for promotion of learning in teaching human anatomy

    Science.gov (United States)

    Aragão, José Aderval; Fonseca-Barreto, Ana Terra; Brito, Ciro José; Guerra, Danilo Ribeiro; Nunes-Mota, José Carlos; Reis, Francisco Prado

    2013-01-01

    Five hundred students attending higher education institutions in northeastern Brazil responded to questionnaires about their anatomy classes; students represented a variety of different health sciences disciplines. Analysis of the responses revealed the participation of teaching assistants in a large percentage of classes and the use of teaching resources, particularly images, from conventional radiographs to magnetic resonance images. The number of classes for cadaver dissection and the number of students with access to that type of class were small. In most cases, dissection was performed according to anatomic regions or systems. Medicine and nursing students had the highest number of practical dissection classes. Most students were assessed using practical and theoretical tests. Findings revealed conditions similar to those found elsewhere. Resources should be renewed and used to improve teaching for students whose courses demand the study of human anatomy. PMID:24062622

  18. The availability of teaching-pedagogical resources used for promotion of learning in teaching human anatomy.

    Science.gov (United States)

    Aragão, José Aderval; Fonseca-Barreto, Ana Terra; Brito, Ciro José; Guerra, Danilo Ribeiro; Nunes-Mota, José Carlos; Reis, Francisco Prado

    2013-01-01

    Five hundred students attending higher education institutions in northeastern Brazil responded to questionnaires about their anatomy classes; students represented a variety of different health sciences disciplines. Analysis of the responses revealed the participation of teaching assistants in a large percentage of classes and the use of teaching resources, particularly images, from conventional radiographs to magnetic resonance images. The number of classes for cadaver dissection and the number of students with access to that type of class were small. In most cases, dissection was performed according to anatomic regions or systems. Medicine and nursing students had the highest number of practical dissection classes. Most students were assessed using practical and theoretical tests. Findings revealed conditions similar to those found elsewhere. Resources should be renewed and used to improve teaching for students whose courses demand the study of human anatomy.

  19. Resource Pack on Curriculum Design and Assessment to Promote Effective Learning.

    OpenAIRE

    O'Connor, Christine

    2008-01-01

    This resource pack is an overview of current considerations for academics designing programmes for third level education. The changing demographic of third level students along with employers’ demands has resulted in programme development with a focus on skills basis (Hyslop-Margison, 2001) to support a knowledge based society. The rationale behind the changes in curriculum design is introduced and further focus is emphasised in the areas of curriculum design models, assessment models and eva...

  20. Crew Resource Management (CRM) video storytelling project: a team-based learning activity

    OpenAIRE

    Ma, Maggie Jiao; Denando, John

    2011-01-01

    This Crew Resource Management (CRM) video storytelling project asks students to work in a team (4-5 people per team) to create (write and produce) a video story. The story should demonstrate lacking and ill practices of CRM knowledge and skills, or positive skills used to create a successful scenario in aviation (e. g. , flight training, commercial aviation, airport management). The activity is composed of two parts: (1) creating a video story of CRM in aviation, and (2) delivering a group pr...