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.

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...

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.

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

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.

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.

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…

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.

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.

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.

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

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…

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...

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.

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

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.

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…

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.

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.

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...

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…

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...

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…

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.

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.

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.

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…

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.

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

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…

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)

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...

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.

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....

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

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.

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.

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.

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.

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...

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…

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

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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.

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…

Resource-based learning strategies: implications for students and institutions

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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.

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...

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

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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.

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.

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)

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

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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.

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…

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,…

Clinical anatomy e-cases: a five-year follow-up of learning analytics.

Science.gov (United States)

Perumal, Vivek; Butson, Russell; Blyth, Phil; Daniel, Ben

2017-01-27

This article explores the development and user experiences of a supplementary e-learning resource (clinical anatomy e-cases) for medical students, across a five-year teaching period. A series of online supplementary e-learning resources (the clinical anatomy e-cases) were developed and introduced to the regional and clinical anatomy module of the medicine course. Usage analytics were collected online from a cohort of third-year medical students and analysed to gain a better understanding of how students utilised these resources. Key results showed that the students used the supplementary learning resource during and outside regular teaching hours that includes a significant access during holidays. Analysis also suggested that the resources were frequently accessed during examination periods and during subsequent clinical study years (fourth or fifth years of medicine course). Increasing interest and positive feedback from students has led to the development of a further series of e-cases. Tailor-made e-learning resources promote clinical anatomy learning outside classroom hours and make supplementary learning a 24/7 task.

Adaptation of mathematical educational content in e-learning resources

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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

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

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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

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

Sustainability Learning in Natural Resource Use and Management

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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

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.

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.

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.

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

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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.

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....

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…

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...

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...

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.

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

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

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…

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.

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

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.

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.

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.

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…

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…

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.

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.

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…

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.

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.

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.

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...

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.

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

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

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)

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…

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.…

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…

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.

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.

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).

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…

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,…

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…

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…

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…

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.

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.

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.

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.

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.

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...

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.

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.

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.

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...

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…

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…

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…

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.

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

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…

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.

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.

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

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

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".

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…

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...

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…

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

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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.

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

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…

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

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

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.

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.

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

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…

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…

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...

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.

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.

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.

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

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

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

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…

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…

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)

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)

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)

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).

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.

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

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.

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

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…

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…

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

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.

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.

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.

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

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.

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.

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.

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.

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…

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…

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…

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…

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.

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.

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…

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...

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.

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.

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.

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.

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.

FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting.

Science.gov (United States)

Alomar, Miquel L; Canals, Vincent; Perez-Mora, Nicolas; Martínez-Moll, Víctor; Rosselló, Josep L

2016-01-01

Hardware implementation of artificial neural networks (ANNs) allows exploiting the inherent parallelism of these systems. Nevertheless, they require a large amount of resources in terms of area and power dissipation. Recently, Reservoir Computing (RC) has arisen as a strategic technique to design recurrent neural networks (RNNs) with simple learning capabilities. In this work, we show a new approach to implement RC systems with digital gates. The proposed method is based on the use of probabilistic computing concepts to reduce the hardware required to implement different arithmetic operations. The result is the development of a highly functional system with low hardware resources. The presented methodology is applied to chaotic time-series forecasting.

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.

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…

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

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.

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.…

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…

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…

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…

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.

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

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.

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,…

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…

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…

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.

Unconventional uranium resources in China

International Nuclear Information System (INIS)

Qi Fucheng; Zhang Zilong; Li Zhixing; Wang Zhiming; He Zhongbo; Wang Wenquan

2011-01-01

Unconventional uranium resources in China mainly include black-rock series, peat, salt lake and evaporitic rocks. Among them, uraniferous black-rock series, uraniferous phosphorite and uranium-polymetallic phosphorite connected with black-rock series are important types for the sustainable support of uranium resources in China. Down-faulting and epocontinental rift in continental margin are the most important and beneficial ore-forming environment for unconventional uranium resources of black-rock series in China and produced a series of geochemistry combinations, such as, U-Cd, U-V-Mo, U-V-Re, U-V-Ni-Mo and U-V-Ni-Mo-Re-Tl. Unconventional uranium resources of black-rock series in China is related to uranium-rich marine black-rock series which are made up of hydrothermal sedimentary siliceous rocks, siliceous phospheorite and carbonaceous-siliceous-pelitic rock and settled in the continental margin down-faulting and epicontinental rift accompanied by submarine backwash and marine volcano eruption. Hydrothermal sedimentation or exhalation sedimentary is the mechanism to form unconventional uranium resources in black-rock series or large scale uranium-polymetallic mineralization in China. (authors)

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.

FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting

Directory of Open Access Journals (Sweden)

Miquel L. Alomar

2016-01-01

Full Text Available Hardware implementation of artificial neural networks (ANNs allows exploiting the inherent parallelism of these systems. Nevertheless, they require a large amount of resources in terms of area and power dissipation. Recently, Reservoir Computing (RC has arisen as a strategic technique to design recurrent neural networks (RNNs with simple learning capabilities. In this work, we show a new approach to implement RC systems with digital gates. The proposed method is based on the use of probabilistic computing concepts to reduce the hardware required to implement different arithmetic operations. The result is the development of a highly functional system with low hardware resources. The presented methodology is applied to chaotic time-series forecasting.

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.

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…

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.

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...

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

Integrating transformative learning and action learning approaches to enhance ethical leadership for supervisors in the hotel business

Directory of Open Access Journals (Sweden)

Boonyuen Saranya

2016-01-01

Full Text Available Ethical leadership is now increasingly focused in leadership development. The main purpose of this study is to explore two methods of adult learning, action learning and transformative learning, and to use the methods to enhance ethical leadership. Building ethical leadership requires an approach that focuses on personal values, beliefs, or frames of references, which is transformative learning. Transformative learning requires a series of meetings to conduct critical discourse and to follow up the learning of learners. By organizing such action learning, human resource developers can optimize their time and effort more effectively. The authors have created a comprehensive model to integrate the two learning approaches in a general way that focuses not only on ethical leadership, but also on all kinds of behavioral transformation in the workplace in the hotel business or even other types of business.

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

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…

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.

Improving your genetic literacy in epilepsy-A new series.

Science.gov (United States)

Tan, Nigel C K; Lowenstein, Daniel H

2015-11-01

Advances in epilepsy genetics have been rapid, and it is challenging for clinicians on the ground to keep pace with these advances. The International League Against Epilepsy (ILAE) Genetics Commission has thus crafted a new Genetic Literacy series targeted at busy clinicians. Our goal is to help provide a concise, accessible resource on epilepsy genetics for the busy, on-the-ground clinician so that he/she can apply that knowledge at point-of-care to help patients. This new series is grounded in educational theories and evidence to ensure that learning is effective and efficient. We hope that by promoting and encouraging continuing medical education in epilepsy genetics, this eventually translates to better patient management and therefore better patient health outcomes. Wiley Periodicals, Inc. © 2015 International League Against Epilepsy.

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…

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…

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…

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…

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…

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...

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.

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.

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…

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.

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.

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…

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...

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…

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.

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…

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…

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.

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....

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.

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.

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…

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...

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.

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.

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,

Differential theory of learning for efficient neural network pattern recognition

Science.gov (United States)

Hampshire, John B., II; Vijaya Kumar, Bhagavatula

1993-09-01

We describe a new theory of differential learning by which a broad family of pattern classifiers (including many well-known neural network paradigms) can learn stochastic concepts efficiently. We describe the relationship between a classifier's ability to generate well to unseen test examples and the efficiency of the strategy by which it learns. We list a series of proofs that differential learning is efficient in its information and computational resource requirements, whereas traditional probabilistic learning strategies are not. The proofs are illustrated by a simple example that lends itself to closed-form analysis. We conclude with an optical character recognition task for which three different types of differentially generated classifiers generalize significantly better than their probabilistically generated counterparts.

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

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.

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.

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

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.

Teaching and investigating the use of Concept Maps as educational resource facilitator of meaningful learning for natural sciences in elementary education.

Directory of Open Access Journals (Sweden)

Felipa Pacífico Ribeiro de Assis Silveira

2014-12-01

Full Text Available The study tried to answer questions pertinent to the use of concept maps (CM as a teaching resource facilitator of meaningful learning of scientific concepts of Natural Sciences, in the classroom of elementary school. To answer the questions and insert the MC in the classroom every day, we adopted the interdependence between the process of learning, teaching and investigation. To ensure a triadic relationship, outline an intervention / investigation with theoretical and methodological support in quantitative and qualitative approach. The teaching and learning were secured from a teaching strategy, able to share and negotiate concepts relevant to the field of education, enabling students move beyond their existing knowledge, ensuring the data of research about the effects of MC in learning of the groups investigated. The MC was defined as a teaching resource potential for this level of education and principles of the Theory of Meaningful Learning that supports it. It was evident the recursive procedural character inherent in meaningful learning as using the MC as a teaching resource in the construction of scientific knowledge of Natural Sciences, the occurrence of learning of the groups using the MC and its validation in the presence of students of final grades of elementary school.

Mutual learning and reverse innovation–where next?

Science.gov (United States)

2014-01-01

There is a clear and evident need for mutual learning in global health systems. It is increasingly recognized that innovation needs to be sourced globally and that we need to think in terms of co-development as ideas are developed and spread from richer to poorer countries and vice versa. The Globalization and Health journal’s ongoing thematic series, “Reverse innovation in global health systems: learning from low-income countries” illustrates how mutual learning and ideas about so-called "reverse innovation" or "frugal innovation" are being developed and utilized by researchers and practitioners around the world. The knowledge emerging from the series is already catalyzing change and challenging the status quo in global health. The path to truly “global innovation flow”, although not fully established, is now well under way. Mobilization of knowledge and resources through continuous communication and awareness raising can help sustain this movement. Global health learning laboratories, where partners can support each other in generating and sharing lessons, have the potential to construct solutions for the world. At the heart of this dialogue is a focus on creating practical local solutions and, simultaneously, drawing out the lessons for the whole world. PMID:24673828

Mutual learning and reverse innovation--where next?

Science.gov (United States)

Crisp, Nigel

2014-03-28

There is a clear and evident need for mutual learning in global health systems. It is increasingly recognized that innovation needs to be sourced globally and that we need to think in terms of co-development as ideas are developed and spread from richer to poorer countries and vice versa. The Globalization and Health journal's ongoing thematic series, "Reverse innovation in global health systems: learning from low-income countries" illustrates how mutual learning and ideas about so-called "reverse innovation" or "frugal innovation" are being developed and utilized by researchers and practitioners around the world. The knowledge emerging from the series is already catalyzing change and challenging the status quo in global health. The path to truly "global innovation flow", although not fully established, is now well under way. Mobilization of knowledge and resources through continuous communication and awareness raising can help sustain this movement. Global health learning laboratories, where partners can support each other in generating and sharing lessons, have the potential to construct solutions for the world. At the heart of this dialogue is a focus on creating practical local solutions and, simultaneously, drawing out the lessons for the whole world.

Introduction to Time Series Modeling

CERN Document Server

Kitagawa, Genshiro

2010-01-01

In time series modeling, the behavior of a certain phenomenon is expressed in relation to the past values of itself and other covariates. Since many important phenomena in statistical analysis are actually time series and the identification of conditional distribution of the phenomenon is an essential part of the statistical modeling, it is very important and useful to learn fundamental methods of time series modeling. Illustrating how to build models for time series using basic methods, "Introduction to Time Series Modeling" covers numerous time series models and the various tools f

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.

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.

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.

Principles of formation of the content of an educational electronic resource on the basis of general and didactic patterns of learning

Directory of Open Access Journals (Sweden)

Ольга Юрьевна Заславская

2018-12-01

Full Text Available The article considers the influence of the development of technical means of teaching on the effectiveness of educational and methodical resources. Modern opportunities of information and communication technologies allow creating electronic educational resources that represent educational information that automates the learning process, provide information assistance, if necessary, collect and process statistical information on the degree of development of the content of the school material by schoolchildren, set an individual trajectory of learning, and so on. The main principle of data organization is the division of the training course into separate sections on the thematic elements and components of the learning process. General regularities include laws that encompass the entire didactic system, and in specific (particular cases, those whose actions extend to a separate component (aspect of the system. From the standpoint of the existence of three types of electronic training modules in the aggregate content of the electronic learning resource - information, control and module of practical classes - the principles of the formation of the electronic learning resource, in our opinion, should regulate all these components. Each of the certain principles is considered in the groups: scientific orientation, methodological orientation, systemic nature, accounting of interdisciplinary connections, fundamentalization, systematic and dosage sequence, rational use of study time, accessibility, minimization, operationalization of goals, unified identification diagnosis.

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…

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.

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

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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.

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…

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...

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.

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…

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.

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

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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.

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.

State Electricity Regulatory Policy and Distributed Resources: Accommodating Distributed Resources in Wholesale Markets

Energy Technology Data Exchange (ETDEWEB)

Weston, F.; Harrington, C.; Moskovitz, D.; Shirley, W.; Cowart, R.; Sedano, R.

2002-10-01

Distributed resources can provide cost-effective reliability and energy services - in many cases, obviating the need for more expensive investments in wires and central station electricity generating facilities. Given the unique features of distributed resources, the challenge facing policymakers today is how to restructure wholesale markets for electricity and related services so as to reveal the full value that distributed resources can provide to the electric power system (utility grid). This report looks at the functions that distributed resources can perform and examines the barriers to them. It then identifies a series of policy and operational approaches to promoting DR in wholesale markets. This report is one in the State Electricity Regulatory Policy and Distributed Resources series developed under contract to NREL (see Annual Technical Status Report of the Regulatory Assistance Project: September 2000-September 2001, NREL/SR-560-32733). Other titles in this series are: (1) Distributed Resource Distribution Credit Pilot Programs - Revealing the Value to Consumers and Vendors, NREL/SR-560-32499; (2) Distributed Resources and Electric System Reliability, NREL/SR-560-32498; (3) Distribution System Cost Methodologies for Distributed Generation, NREL/SR-560-32500; (4) Distribution System Cost Methodologies for Distributed Generation Appendices, NREL/SR-560-32501

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.

Modern water resources engineering

CERN Document Server

Yang, Chih

2014-01-01

The Handbook of Environmental Engineering series is an incredible collection of methodologies that study the effects of pollution and waste in their three basic forms: gas, solid, and liquid. This exciting new addition to the series, Volume 15: Modern Water Resources Engineering , has been designed to serve as a water resources engineering reference book as well as a supplemental textbook. We hope and expect it will prove of equal high value to advanced undergraduate and graduate students, to designers of water resources systems, and to scientists and researchers. A critical volume in the Handbook of Environmental Engineering series, chapters employ methods of practical design and calculation illustrated by numerical examples, include pertinent cost data whenever possible, and explore in great detail the fundamental principles of the field. Volume 15: Modern Water Resources Engineering, provides information on some of the most innovative and ground-breaking advances in the field today from a panel of esteemed...

The Effectiveness of Empowerment Program on Increasing Self-Esteem, Learned Resourcefulness, and Coping Ways in Women Exposed to Domestic Violence.

Science.gov (United States)

Bahadir-Yilmaz, Emel; Öz, Fatma

2018-02-01

This study was conducted to assess the effectiveness of empowerment program on increasing self-esteem, learned resourcefulness, and coping ways in women exposed to domestic violence. This experimental study was conducted between October 2012 and June 2014 in the obstetrics and gynaecology departments of the Giresun Maternity Hospital, and at the Family Counseling Center (FCC) in Turkey. Sixty women who agreed to participate in the study were randomly assigned into two groups. Data were collected by the Coopersmith Self-Esteem Inventory (SEI), The Rosenbaum's Learned Resourcefulness Scale (RLRS), and the Ways of Coping Inventory (WCI). The assessment of the women before and after the empowerment program showed that women in the intervention group showed significant improvements in the SEI, RLRS, and WCI scores compared with controls. These results suggest that the empowerment program is an effective practice for increasing the levels of self-esteem, learned resourcefulness, and coping ways of women exposed to domestic violence.

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.

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

State Electricity Regulatory Policy and Distributed Resources: Distributed Resources and Electric System Reliability

Energy Technology Data Exchange (ETDEWEB)

Cowart, R.; Harrington, C.; Moskovitz, D.; Shirley, W.; Weston, F.; Sedano, R.

2002-10-01

Designing and implementing credit-based pilot programs for distributed resources distribution is a low-cost, low-risk opportunity to find out how these resources can help defer or avoid costly electric power system (utility grid) distribution upgrades. This report describes implementation options for deaveraged distribution credits and distributed resource development zones. Developing workable programs implementing these policies can dramatically increase the deployment of distributed resources in ways that benefit distributed resource vendors, users, and distribution utilities. This report is one in the State Electricity Regulatory Policy and Distributed Resources series developed under contract to NREL (see Annual Technical Status Report of the Regulatory Assistance Project: September 2000-September 2001, NREL/SR-560-32733). Other titles in this series are: (1) Accommodating Distributed Resources in Wholesale Markets, NREL/SR-560-32497; (2) Distributed Resources and Electric System Re liability, NREL/SR-560-32498; (3) Distribution System Cost Methodologies for Distributed Generation, NREL/SR-560-32500; (4) Distribution System Cost Methodologies for Distributed Generation Appendices, NREL/SR-560-32501.

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

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.

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

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.

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

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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…

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.

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...

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.

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.

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)…

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.

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…

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.

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.

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...

Governance and human resources for health

Directory of Open Access Journals (Sweden)

Dieleman Marjolein

2011-11-01

Full Text Available Abstract Despite an increase in efforts to address shortage and performance of Human Resources for Health (HRH, HRH problems continue to hamper quality service delivery. We believe that the influence of governance is undervalued in addressing the HRH crisis, both globally and at country level. This thematic series has aimed to expand the evidence base on the role of governance in addressing the HRH crisis. The six articles comprising the series present a range of experiences. The articles report on governance in relation to developing a joint vision, building adherence and strengthening accountability, and on governance with respect to planning, implementation, and monitoring. Other governance issues warrant attention as well, such as corruption and transparency in decision-making in HRH policies and strategies. Acknowledging and dealing with governance should be part and parcel of HRH planning and implementation. To date, few experiences have been shared on improving governance for HRH policy making and implementation, and many questions remain unanswered. There is an urgent need to document experiences and for mutual learning.

Governance and human resources for health.

Science.gov (United States)

Dieleman, Marjolein; Hilhorst, Thea

2011-11-24

Despite an increase in efforts to address shortage and performance of Human Resources for Health (HRH), HRH problems continue to hamper quality service delivery. We believe that the influence of governance is undervalued in addressing the HRH crisis, both globally and at country level. This thematic series has aimed to expand the evidence base on the role of governance in addressing the HRH crisis. The six articles comprising the series present a range of experiences. The articles report on governance in relation to developing a joint vision, building adherence and strengthening accountability, and on governance with respect to planning, implementation, and monitoring. Other governance issues warrant attention as well, such as corruption and transparency in decision-making in HRH policies and strategies. Acknowledging and dealing with governance should be part and parcel of HRH planning and implementation. To date, few experiences have been shared on improving governance for HRH policy making and implementation, and many questions remain unanswered. There is an urgent need to document experiences and for mutual learning.

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…

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…

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.

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.

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.

Application of keyword extraction on MOOC resources

Directory of Open Access Journals (Sweden)

Zhuoxuan Jiang

2017-03-01

Full Text Available Purpose – Recent years have witnessed the rapid development of massive open online courses (MOOCs. With more and more courses being produced by instructors and being participated by learners all over the world, unprecedented massive educational resources are aggregated. The educational resources include videos, subtitles, lecture notes, quizzes, etc., on the teaching side, and forum contents, Wiki, log of learning behavior, log of homework, etc., on the learning side. However, the data are both unstructured and diverse. To facilitate knowledge management and mining on MOOCs, extracting keywords from the resources is important. This paper aims to adapt the state-of-the-art techniques to MOOC settings and evaluate the effectiveness on real data. In terms of practice, this paper also tries to answer the questions for the first time that to what extend can the MOOC resources support keyword extraction models, and how many human efforts are required to make the models work well. Design/methodology/approach – Based on which side generates the data, i.e instructors or learners, the data are classified to teaching resources and learning resources, respectively. The approach used on teaching resources is based on machine learning models with labels, while the approach used on learning resources is based on graph model without labels. Findings – From the teaching resources, the methods used by the authors can accurately extract keywords with only 10 per cent labeled data. The authors find a characteristic of the data that the resources of various forms, e.g. subtitles and PPTs, should be separately considered because they have the different model ability. From the learning resources, the keywords extracted from MOOC forums are not as domain-specific as those extracted from teaching resources, but they can reflect the topics which are lively discussed in forums. Then instructors can get feedback from the indication. The authors implement two

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.

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

Guidelines of the Development and the Supporting Learning Resources by the Community Participatory of Case Study for the Schools Under Secondary Education Service Area Office 24

Directory of Open Access Journals (Sweden)

Wisan Payungwong

2017-06-01

Full Text Available This research aimed 1 to study the components of guidelines of the development and the supporting learning resources by the community participatory of case study for the schools under Secondary Education Service Area Office 24 and 2 to investigate guidelines of guidelines of the development and the supporting learning resources by the community participatory of case study for the schools under Secondary Education Service Area Office 24. This research was conducted into two phases. The first phase was investigated the components and indicators of guidelines of the development and the supporting learning resources by the community participatory of case study for the schools under Secondary Education Service Area Office 24. The samples group were five respondents to provide the information by an assessment form. The second phase was conducted to find out the guidelines of development and supporting learning resources by community participatory of case study which included four steps. The first step was the focus group of case study schools with best practice. The samples were fourteen key informants from 2 schools. There were school directors, deputy director of academic administration, head of learning, village leaders, wisdom villagers and religious leaders. The data were collected by using focus group discussion form. The second step was draft the develop management guideline of academic administration. The sample group were 7 professionals. The data were collected by using the evaluation from of propriety/feasibility/utility of the develop management guideline of academic administration. The data were analyzed in average ( and standard deviation (S.D.. The third step was group discussion for evaluated the applying of the develop management guideline of academic administration. The samples group were 14 key informants from 2 schools. There were school directors, deputy director of academic administration, head of learning, village leaders

Making ATLAS Data from CERN Accessible to the General Public: The Development and Evaluation of a Learning Resource in Experimental Particle Physics

CERN Document Server

AUTHOR|(CDS)2243922; Ekelin, Svea Magdalena; Lund-Jensen, Bengt; Christiansen, Iben

2017-08-15

In 2016, the ATLAS experiment at CERN released data from 100 trillion proton-proton collisions to the general public. In connection to this release the ATLAS Outreach group has developed several tools for visualizing and analyzing the data, one of which is a Histogram analyzer. The focus of this project is to bridge the gap between the general public's knowledge in physics and what is needed to use this Histogram analyzer. The project consists of both the development and an evaluation of a learning resource that explains experimental particle physics for a general public audience. The learning resource is a website making use of analogies and two perspectives on learning: Variation Theory and Cognitive Load Theory. The evaluation of the website was done using a survey with 10 respondents and it focused on whether analogies and the perspectives on learning helped their understanding. In general the respondents found the analogies to be helpful for their learning, and to some degree they found the explanations ...

Appreciation of learning environment and development of higher-order learning skills in a problem-based learning medical curriculum.

Science.gov (United States)

Mala-Maung; Abdullah, Azman; Abas, Zoraini W

2011-12-01

This cross-sectional study determined the appreciation of the learning environment and development of higher-order learning skills among students attending the Medical Curriculum at the International Medical University, Malaysia which provides traditional and e-learning resources with an emphasis on problem based learning (PBL) and self-directed learning. Of the 708 participants, the majority preferred traditional to e-resources. Students who highly appreciated PBL demonstrated a higher appreciation of e-resources. Appreciation of PBL is positively and significantly correlated with higher-order learning skills, reflecting the inculcation of self-directed learning traits. Implementers must be sensitive to the progress of learners adapting to the higher education environment and innovations, and to address limitations as relevant.

Still to Learn from Vicarious Learning

Science.gov (United States)

Mayes, J. T.

2015-01-01

The term "vicarious learning" was introduced in the 1960s by Bandura, who demonstrated how learning can occur through observing the behaviour of others. Such social learning is effective without the need for the observer to experience feedback directly. More than twenty years later a series of studies on vicarious learning was undertaken…

Resources for our Future. Key issues and best practices in resource efficiency

Energy Technology Data Exchange (ETDEWEB)

Weterings, R.; Bastein, T.; Tukker, A. [TNO, Delft (Netherlands); Rademaker, M.; De Ridder, M. [The Hague Centre for Strategic studies HCSS, Den Haag (Netherlands)

2013-08-15

This book provides an analysis of the issues surrounding international resources and inspiring accounts of industrial best practices. The book consists of two distinct parts. The first part of the book brings together the results of years of research into the geopolitical, economic and ecological dimensions of material scarcity and resource efficiency. Chapter 2 discusses the main challenges and constraints related to the use of energy resources, water and land, industrial and metallic minerals, construction minerals and biotic resources, including water use and ecosystem degradation. The chapter also addresses important linkages between these various resources. Chapter 3 describes the international trends that are shaping the geopolitics of natural resources and looks at the implications for Europe and the Netherlands. Chapter 4 presents a wide range of strategies by which governments, producers and consumers may contribute to the more sustainable use of natural resources. The second part of the book describes 21 inspiring best practices in resource efficiency in a variety of industrial sectors. Based on a series of interviews with industrial pioneers, these chapters relate their first-hand experiences in improving resource efficiency. These business cases demonstrate that innovation and entrepreneurship can result in substantial improvements in resource efficiency. Chapter 5 focuses on best practices in the built environment, where substantial amounts of energy and minerals are used. Chapter 6 presents four ambitious strategies to promote sustainable food production and consumption. Chapter 7 describes recent developments in the chemical process industry, which produces most of the ingredients, compounds and semi-products for the vast range of products used by society. Chapter 8 provides four examples of the state-of-the-art in resource efficiency in the metal and high-tech industries. This chapter presents four business cases highlighting the benefits of the

Global application of disorders of sex development-related electronic resources: e-learning, e-consultation and e-information sharing.

Science.gov (United States)

Muscarella, Miriam; Kranenburg-van Koppen, Laura; Grijpink-van den Biggelaar, Kalinka; Drop, Stenvert L S

2014-01-01

The past 20 years have seen proliferation of electronic (e) resources that promote improved understanding of disorders of sex development (DSD): e-learning for physicians and trainees, e-consultation between clinicians, and e-information for families and affected individuals. Recent e-learning advances have emerged from the European Society for Pediatric Endocrinology's online learning portal for current physicians and trainees. Developed with attention to developing clinical competencies incorporating learning theory, and presenting material that represents international best practice, this e-learning portal offers advances in training, making information more accessible for clinicians and trainees. Multiple levels of instruction, authentic case examples, collaborative forums for physicians and trainees, individualized feedback and user-friendly tools represent advances in trainee and physician learning that can take place in any location. e-consultation is an emerging tool that aims to connect physicians with specialists experienced in DSD care. Although it faces logistical challenges, e-consultation carries the potential to improve DSD care, especially in remote areas with limited access to DSD specialists. e-information for families and patients of all ages is widely accessible online, often with focus on DSD biology, medical care, and psychological and social support. e-information tools aid self-management and support of those affected by DSD. Efforts to improve these resources should aim to map information to individual users, incorporate optimally clear nomenclature, and continue as a 'shared enterprise' of clinicians, affected individuals, families and researchers. Improving the quality of DSD-related e-learning and e-information and developing e-consultation carries the potential to transform DSD care and support for patients, families and physicians worldwide. © 2014 S. Karger AG, Basel.

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…

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

Science.gov (United States)

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

2017-01-01

People are frequently confronted with untrustworthy claims about the effects of treatments. Uncritical acceptance of these claims can lead to poor, and sometimes dangerous, treatment decisions, and wasted time and money. Resources to help people learn to think critically about treatment claims are scarce, and they are widely scattered. Furthermore, very few learning-resources have been assessed to see if they improve knowledge and behavior. Our objectives were to develop the Critical thinking and Appraisal Resource Library (CARL). This library was to be in the form of a database containing learning resources for those who are responsible for encouraging critical thinking about treatment claims, and was to be made available online. We wished to include resources for groups we identified as 'intermediaries' of knowledge, i.e. teachers of schoolchildren, undergraduates and graduates, for example those teaching evidence-based medicine, or those communicating treatment claims to the public. In selecting resources, we wished to draw particular attention to those resources that had been formally evaluated, for example, by the creators of the resource or independent research groups. CARL was populated with learning-resources identified from a variety of sources-two previously developed but unmaintained inventories; systematic reviews of learning-interventions; online and database searches; and recommendations by members of the project group and its advisors. The learning-resources in CARL were organised by 'Key Concepts' needed to judge the trustworthiness of treatment claims, and were made available online by the James Lind Initiative in Testing Treatments interactive (TTi) English (www.testingtreatments.org/category/learning-resources).TTi English also incorporated the database of Key Concepts and the Claim Evaluation Tools developed through the Informed Healthcare Choices (IHC) project (informedhealthchoices.org). We have created a database of resources called CARL

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.

International Work-Conference on Time Series

CERN Document Server

Pomares, Héctor; Valenzuela, Olga

2017-01-01

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting.  It focuses on interdisciplinary and multidisciplinary rese arch encompassing the disciplines of comput...

International Work-Conference on Time Series

CERN Document Server

Pomares, Héctor

2016-01-01

This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems. The International Work-Conferences on Time Series (ITISE) provide a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics and econometrics.

Teaching Service Learning in the Geosciences: An On the Cutting Edge Workshop Report

Science.gov (United States)

Bruckner, M. Z.; Laine, E. P.; Mogk, D. W.; O'Connell, S.; Kirk, K. B.

2010-12-01

Service learning is an instructional method that combines community service and academic instruction within the context of an established academic course. It is a particularly effective approach that uses active and experiential learning to develop the academic skills required of a course of study and to simultaneously address authentic community needs. Service learning projects can energize and motivate students by engaging a sense of civic responsibility by working in concert with community partners. The geosciences provide abundant opportunities to develop service learning projects on topics related to natural hazards, resources, land use, water quality, community planning, public policy, and education (K-12 and public outreach). To explore the opportunities of teaching service learning in the geosciences, the On the Cutting Edge program convened an online workshop in February 2010. The goals of the workshop were to: 1) introduce the principles and practices of effective service learning instructional activities; 2) provide examples of successful service learning projects and practical advice about "what works;" 3) provide participants with the opportunity to design, develop, and refine their own service learning courses or projects; 4) develop collections of supporting resources related to the pedagogy of service learning; and 5) support a community of scholars interested in continued work on service learning in the geoscience curriculum. The workshop consisted of a series of web-based synchronous and asynchronous sessions, including presentations from experienced practitioners of service learning, panel discussions, threaded discussions, and editable web pages used to develop new material for the website. Time was also provided for small group and individual work and for participants to peer-review each others' service learning projects and to revise their own activities based on reviewer comments. Insights from the workshop were integrated into new web pages

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.

Grammar-based feature generation for time-series prediction

CERN Document Server

De Silva, Anthony Mihirana

2015-01-01

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method ...

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.

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.

Web-based resources for critical care education.

Science.gov (United States)

Kleinpell, Ruth; Ely, E Wesley; Williams, Ged; Liolios, Antonios; Ward, Nicholas; Tisherman, Samuel A

2011-03-01

To identify, catalog, and critically evaluate Web-based resources for critical care education. A multilevel search strategy was utilized. Literature searches were conducted (from 1996 to September 30, 2010) using OVID-MEDLINE, PubMed, and the Cumulative Index to Nursing and Allied Health Literature with the terms "Web-based learning," "computer-assisted instruction," "e-learning," "critical care," "tutorials," "continuing education," "virtual learning," and "Web-based education." The Web sites of relevant critical care organizations (American College of Chest Physicians, American Society of Anesthesiologists, American Thoracic Society, European Society of Intensive Care Medicine, Society of Critical Care Medicine, World Federation of Societies of Intensive and Critical Care Medicine, American Association of Critical Care Nurses, and World Federation of Critical Care Nurses) were reviewed for the availability of e-learning resources. Finally, Internet searches and e-mail queries to critical care medicine fellowship program directors and members of national and international acute/critical care listserves were conducted to 1) identify the use of and 2) review and critique Web-based resources for critical care education. To ensure credibility of Web site information, Web sites were reviewed by three independent reviewers on the basis of the criteria of authority, objectivity, authenticity, accuracy, timeliness, relevance, and efficiency in conjunction with suggested formats for evaluating Web sites in the medical literature. Literature searches using OVID-MEDLINE, PubMed, and the Cumulative Index to Nursing and Allied Health Literature resulted in >250 citations. Those pertinent to critical care provide examples of the integration of e-learning techniques, the development of specific resources, reports of the use of types of e-learning, including interactive tutorials, case studies, and simulation, and reports of student or learner satisfaction, among other general

Machine learning for micro-tomography

Science.gov (United States)

Parkinson, Dilworth Y.; Pelt, Daniël. M.; Perciano, Talita; Ushizima, Daniela; Krishnan, Harinarayan; Barnard, Harold S.; MacDowell, Alastair A.; Sethian, James

2017-09-01

Machine learning has revolutionized a number of fields, but many micro-tomography users have never used it for their work. The micro-tomography beamline at the Advanced Light Source (ALS), in collaboration with the Center for Applied Mathematics for Energy Research Applications (CAMERA) at Lawrence Berkeley National Laboratory, has now deployed a series of tools to automate data processing for ALS users using machine learning. This includes new reconstruction algorithms, feature extraction tools, and image classification and recommen- dation systems for scientific image. Some of these tools are either in automated pipelines that operate on data as it is collected or as stand-alone software. Others are deployed on computing resources at Berkeley Lab-from workstations to supercomputers-and made accessible to users through either scripting or easy-to-use graphical interfaces. This paper presents a progress report on this work.

Nonlinear Prediction Model for Hydrologic Time Series Based on Wavelet Decomposition

Science.gov (United States)

Kwon, H.; Khalil, A.; Brown, C.; Lall, U.; Ahn, H.; Moon, Y.

2005-12-01

Traditionally forecasting and characterizations of hydrologic systems is performed utilizing many techniques. Stochastic linear methods such as AR and ARIMA and nonlinear ones such as statistical learning theory based tools have been extensively used. The common difficulty to all methods is the determination of sufficient and necessary information and predictors for a successful prediction. Relationships between hydrologic variables are often highly nonlinear and interrelated across the temporal scale. A new hybrid approach is proposed for the simulation of hydrologic time series combining both the wavelet transform and the nonlinear model. The present model employs some merits of wavelet transform and nonlinear time series model. The Wavelet Transform is adopted to decompose a hydrologic nonlinear process into a set of mono-component signals, which are simulated by nonlinear model. The hybrid methodology is formulated in a manner to improve the accuracy of a long term forecasting. The proposed hybrid model yields much better results in terms of capturing and reproducing the time-frequency properties of the system at hand. Prediction results are promising when compared to traditional univariate time series models. An application of the plausibility of the proposed methodology is provided and the results conclude that wavelet based time series model can be utilized for simulating and forecasting of hydrologic variable reasonably well. This will ultimately serve the purpose of integrated water resources planning and management.

Western Energy Resources and the Environment: Geothermal Energy

Energy Technology Data Exchange (ETDEWEB)

None

1977-05-01

This document on geothermal energy is the first in a series of summary reports prepared by the Office of Energy, Minerals and Industry of the Environmental Protection Agency. The series describes what environmental effects are known or expected from new energy resource development in the western third of the United States. The series indicates some of the research and development activities under way and reviews the non-environmental constraints to resource development. It also serves as a reference for planners and policymakers on the entire range of problems and prospects associated with the development of new energy resources. [DJE-2005

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.

Time-series prediction and applications a machine intelligence approach

CERN Document Server

Konar, Amit

2017-01-01

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating business environments. It employs machine learning to determine repetitively occurring similar structural patterns in the time-series and uses stochastic automaton to predict the most probabilistic structure at a given partition of the time-series. Such predictions help in determining probabilistic moves in a stock index time-series Primarily written for graduate students and researchers in computer science, the book is equally useful for researchers/professionals in business intelligence and stock index prediction. A background of undergraduate level mathematics is presumed, although not mandatory, for most of the sections. Exercises with tips are provided at...

Time series analysis of reference crop evapotranspiration using soft computing techniques for Ganjam District, Odisha, India

Science.gov (United States)

Patra, S. R.

2017-12-01

Evapotranspiration (ET0) influences water resources and it is considered as a vital process in aridic hydrologic frameworks. It is one of the most important measure in finding the drought condition. Therefore, time series forecasting of evapotranspiration is very important in order to help the decision makers and water system mangers build up proper systems to sustain and manage water resources. Time series considers that -history repeats itself, hence by analysing the past values, better choices, or forecasts, can be carried out for the future. Ten years of ET0 data was used as a part of this study to make sure a satisfactory forecast of monthly values. In this study, three models: (ARIMA) mathematical model, artificial neural network model, support vector machine model are presented. These three models are used for forecasting monthly reference crop evapotranspiration based on ten years of past historical records (1991-2001) of measured evaporation at Ganjam region, Odisha, India without considering the climate data. The developed models will allow water resource managers to predict up to 12 months, making these predictions very useful to optimize the resources needed for effective water resources management. In this study multistep-ahead prediction is performed which is more complex and troublesome than onestep ahead. Our investigation proposed that nonlinear relationships may exist among the monthly indices, so that the ARIMA model might not be able to effectively extract the full relationship hidden in the historical data. Support vector machines are potentially helpful time series forecasting strategies on account of their strong nonlinear mapping capability and resistance to complexity in forecasting data. SVMs have great learning capability in time series modelling compared to ANN. For instance, the SVMs execute the structural risk minimization principle, which allows in better generalization as compared to neural networks that use the empirical risk

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.

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...

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.

Predicting chaotic time series

International Nuclear Information System (INIS)

Farmer, J.D.; Sidorowich, J.J.

1987-01-01

We present a forecasting technique for chaotic data. After embedding a time series in a state space using delay coordinates, we ''learn'' the induced nonlinear mapping using local approximation. This allows us to make short-term predictions of the future behavior of a time series, using information based only on past values. We present an error estimate for this technique, and demonstrate its effectiveness by applying it to several examples, including data from the Mackey-Glass delay differential equation, Rayleigh-Benard convection, and Taylor-Couette flow

Classroom Resources | Argonne National Laboratory

Science.gov (United States)

Center Community Outreach Learning Experiences School Competitions Teacher Programs Classroom Resources Learning Center Community Outreach Learning Experiences School Competitions Teacher Programs Classroom every student and that is free from harassment and discrimination based upon race, color, religion

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.

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...

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…

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

RUVIVAL Publication Series Volume 3

OpenAIRE

Behrendt, Joachim; Fröndhoff, Dario; Munoz Ardila, Andrea; Orlina, Maria Monina; Rueda Morales, Máryeluz; Schaldach, Ruth; Schaldach, Ruth; Otterpohl, Ralf

2018-01-01

RUVIVAL Publication Series is a compilation of literature reviews on topics concerned with the revitalisation of rural areas. RUVIVAL Publication Series is part of the e-learning project RUVIVAL and each of the three contributions in this publication is connected to further interactive multimedia material, which can be reached under www.ruvival.de. The first literature review is concerned with urine utilisation as a fertiliser in agriculture. Urine contains four important nutrients for pla...

improvisation and utilization of resources in the teaching

African Journals Online (AJOL)

resources are inevitable in enhancing the teaching and learning of science and mathematics generally ... poor performance and low achievement in science and mathematics. Therefore these ..... Learning Resources for Primary science.

Variable Selection in Time Series Forecasting Using Random Forests

Directory of Open Access Journals (Sweden)

Hristos Tyralis

2017-10-01

Full Text Available Time series forecasting using machine learning algorithms has gained popularity recently. Random forest is a machine learning algorithm implemented in time series forecasting; however, most of its forecasting properties have remained unexplored. Here we focus on assessing the performance of random forests in one-step forecasting using two large datasets of short time series with the aim to suggest an optimal set of predictor variables. Furthermore, we compare its performance to benchmarking methods. The first dataset is composed by 16,000 simulated time series from a variety of Autoregressive Fractionally Integrated Moving Average (ARFIMA models. The second dataset consists of 135 mean annual temperature time series. The highest predictive performance of RF is observed when using a low number of recent lagged predictor variables. This outcome could be useful in relevant future applications, with the prospect to achieve higher predictive accuracy.

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.…

Student understanding of Taylor series expansions in statistical mechanics

Directory of Open Access Journals (Sweden)

Trevor I. Smith

2013-08-01

Full Text Available One goal of physics instruction is to have students learn to make physical meaning of specific mathematical expressions, concepts, and procedures in different physical settings. As part of research investigating student learning in statistical physics, we are developing curriculum materials that guide students through a derivation of the Boltzmann factor using a Taylor series expansion of entropy. Using results from written surveys, classroom observations, and both individual think-aloud and teaching interviews, we present evidence that many students can recognize and interpret series expansions, but they often lack fluency in creating and using a Taylor series appropriately, despite previous exposures in both calculus and physics courses.

Student understanding of Taylor series expansions in statistical mechanics

Science.gov (United States)

Smith, Trevor I.; Thompson, John R.; Mountcastle, Donald B.

2013-12-01

One goal of physics instruction is to have students learn to make physical meaning of specific mathematical expressions, concepts, and procedures in different physical settings. As part of research investigating student learning in statistical physics, we are developing curriculum materials that guide students through a derivation of the Boltzmann factor using a Taylor series expansion of entropy. Using results from written surveys, classroom observations, and both individual think-aloud and teaching interviews, we present evidence that many students can recognize and interpret series expansions, but they often lack fluency in creating and using a Taylor series appropriately, despite previous exposures in both calculus and physics courses.

Effects of Cooperative E-Learning on Learning Outcomes

Science.gov (United States)

Yeh, Shang-Pao; Fu, Hsin-Wei

2014-01-01

This study aims to discuss the effects of E-Learning and cooperative learning on learning outcomes. E-Learning covers the dimensions of Interpersonal communication, abundant resources, Dynamic instruction, and Learning community; and, cooperative learning contains three dimensions of Cooperative motive, Social interaction, and Cognition…

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

Science.gov (United States)

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

2017-01-01

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

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.

Wind resource analysis. Annual report

Energy Technology Data Exchange (ETDEWEB)

Hardy, D. M.

1978-12-01

FY78 results of the Wind Resource Analyses task of the ERAB are described. Initial steps were taken to acquire modern atmosphere models of near-surface wind flow and primary data sets used in previous studies of national and regional wind resources. Because numerous assumptions are necessary to interpret available data in terms of wind energy potential, conclusions of previous studies differ considerably. These data analyses may be improved by future SERI research. State-of-the-art atmosphere models are a necessary component of the SERI wind resource analyses capacity. However, these methods also need to be tested and verified in diverse applications. The primary data sets and principal features of the models are discussed.

Human Capital, Wealth, and Renewable Resources

Directory of Open Access Journals (Sweden)

Wei-Bin ZHANG

2014-05-01

Full Text Available This paper studies dynamic interdependence among physical capital, resource and human capital. We integrate the Solow one-sector growth, Uzawa-Lucas two-sector and some neoclassical growth models with renewable resource models. The economic system consists of the households, production sector, resource sector and education sector. We take account of three ways of improving human capital: Arrow’s learning by producing (Arrow, 1962, Uzawa’s learning by education (Uzawa, 1965, and Zhang’s learning by consuming (Zhang, 2007. The model describes a dynamic interdependence among wealth accumulation, human capital accumulation, resource change, and division of labor under perfect competition. We simulate the model to demonstrate existence of equilibrium points and motion of the dynamic system. We also examine effects of changes in the productivity of the resource sector, the utilization efficiency of human capital, the propensity to receive education, and the propensity to save upon dynamic paths of the system.

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

Demonstrating DREAM: A Digital Resource Exchange about Music

Science.gov (United States)

Upitis, Rena; Boese, Karen; Abrami, Philip C.

2015-01-01

The Digital Resource Exchange About Music (DREAM) is an online tool for exchanging information about digital learning tools for music education. DREAM was designed by our team to encourage music teachers to learn about digital resources related to learning to play a musical instrument, both in classroom and independent music studio settings. In…

Influence of Instructional Resources in Learning Agriculture in Secondary School on Employment Creation in Vihiga County, Kenya

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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…

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)…

Taking over someone else's e-learning design: challenges trigger change in e-learning beliefs and practices

Directory of Open Access Journals (Sweden)

Karen M. Scott

2014-07-01

Full Text Available As universities invest in the development of e-learning resources, e-learning sustainability has come under consideration. This has largely focused on the challenges and facilitators of organisational and technological sustainability and scalability, and professional development. Little research has examined the experience of a teacher dealing with e-learning sustainability when taking over a course with an e-learning resource and associated assessment. This research focuses on a teacher who was inexperienced with e-learning technology, yet took over a blended unit of study with an e-learning resource that accounted for one-fifth of the subject assessment and was directed towards academic skills development relevant to the degree program. Taking a longitudinal approach, this research examines the challenges faced by the new teacher and the way she changed the e-learning resource and its implementation over two years. A focus of the research is the way the teacher's reflections on the challenges and changes provided an opportunity and stimulus for change in her e-learning beliefs and practices. This research has implications for the way universities support teachers taking over another teacher's e-learning resource, the need for explicit documentation of underpinning beliefs and structured handover, the benefit of teamwork in developing e-learning resources, and provision of on-going support.

Applied time series analysis

CERN Document Server

Woodward, Wayne A; Elliott, Alan C

2011-01-01

""There is scarcely a standard technique that the reader will find left out … this book is highly recommended for those requiring a ready introduction to applicable methods in time series and serves as a useful resource for pedagogical purposes.""-International Statistical Review (2014), 82""Current time series theory for practice is well summarized in this book.""-Emmanuel Parzen, Texas A&M University""What an extraordinary range of topics covered, all very insightfully. I like [the authors'] innovations very much, such as the AR factor table.""-David Findley, U.S. Census Bureau (retired)""…

Rheumatoid Arthritis Educational Video Series

Medline Plus

Full Text Available ... and what other conditions are associated with RA. Learning more about your condition will allow you to ... Arthritis Educational Video Series Psoriatic Arthritis 101 2010 E.S.C.A.P.E. Study Patient Update Transitioning ...

What Is the Moral Imperative of Workplace Learning: Unlocking the DaVinci Code of Human Resource Development?

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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…

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…

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

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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.

Conditional time series forecasting with convolutional neural networks

NARCIS (Netherlands)

A. Borovykh (Anastasia); S.M. Bohte (Sander); C.W. Oosterlee (Cornelis)

2017-01-01

textabstractForecasting financial time series using past observations has been a significant topic of interest. While temporal relationships in the data exist, they are difficult to analyze and predict accurately due to the non-linear trends and noise present in the series. We propose to learn these

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…

Time series forecasting based on deep extreme learning machine

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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

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…

Natural resources and control processes

CERN Document Server

Wang, Mu-Hao; Hung, Yung-Tse; Shammas, Nazih

2016-01-01

This edited book has been designed to serve as a natural resources engineering reference book as well as a supplemental textbook. This volume is part of the Handbook of Environmental Engineering series, an incredible collection of methodologies that study the effects of pollution and waste in their three basic forms: gas, solid, and liquid. It complements two other books in the series including Environmental and Natural Resources Engineering and Integrated Natural Resources Management that serve as a basis for advanced study or specialized investigation of the theory and analysis of various natural resources systems. This book covers the management of many waste sources including those from agricultural livestock, deep-wells, industries manufacturing dyes, and municipal solid waste incinerators. The purpose of this book is to thoroughly prepare the reader for understanding the sources, treatment and control methods of toxic wastes shown to have harmful effects on the environment. Chapters provide information ...

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

Interactive Learning Modules: Enabling Near Real-Time Oceanographic Data Use In Undergraduate Education

Science.gov (United States)

Kilb, D. L.; Fundis, A. T.; Risien, C. M.

2012-12-01

The focus of the Education and Public Engagement (EPE) component of the NSF's Ocean Observatories Initiative (OOI) is to provide a new layer of cyber-interactivity for undergraduate educators to bring near real-time data from the global ocean into learning environments. To accomplish this, we are designing six online services including: 1) visualization tools, 2) a lesson builder, 3) a concept map builder, 4) educational web services (middleware), 5) collaboration tools and 6) an educational resource database. Here, we report on our Fall 2012 release that includes the first four of these services: 1) Interactive visualization tools allow users to interactively select data of interest, display the data in various views (e.g., maps, time-series and scatter plots) and obtain statistical measures such as mean, standard deviation and a regression line fit to select data. Specific visualization tools include a tool to compare different months of data, a time series explorer tool to investigate the temporal evolution of select data parameters (e.g., sea water temperature or salinity), a glider profile tool that displays ocean glider tracks and associated transects, and a data comparison tool that allows users to view the data either in scatter plot view comparing one parameter with another, or in time series view. 2) Our interactive lesson builder tool allows users to develop a library of online lesson units, which are collaboratively editable and sharable and provides starter templates designed from learning theory knowledge. 3) Our interactive concept map tool allows the user to build and use concept maps, a graphical interface to map the connection between concepts and ideas. This tool also provides semantic-based recommendations, and allows for embedding of associated resources such as movies, images and blogs. 4) Education web services (middleware) will provide an educational resource database API.

Learning and Celebrating: The Glamour of Design Lecture Series

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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,…

A Mobile Gamification Learning System for Improving the Learning Motivation and Achievements

Science.gov (United States)

Su, C-H.; Cheng, C-H.

2015-01-01

This paper aims to investigate how a gamified learning approach influences science learning, achievement and motivation, through a context-aware mobile learning environment, and explains the effects on motivation and student learning. A series of gamified learning activities, based on MGLS (Mobile Gamification Learning System), was developed and…

OECD Reviews of School Resources : Austria 2016

OpenAIRE

Theisens, Henno

2016-01-01

The effective use of school resources is a policy priority across OECD countries. The OECD Reviews of School Resources explore how resources can be governed, distributed, utilised and managed to improve the quality, equity and efficiency of school education. The series considers four types of resources: financial resources, such as public funding of individual schools; human resources, such as teachers, school leaders and education administrators; physical resources, such as location, buildin...

Time series modeling, computation, and inference

CERN Document Server

Prado, Raquel

2010-01-01

The authors systematically develop a state-of-the-art analysis and modeling of time series. … this book is well organized and well written. The authors present various statistical models for engineers to solve problems in time series analysis. Readers no doubt will learn state-of-the-art techniques from this book.-Hsun-Hsien Chang, Computing Reviews, March 2012My favorite chapters were on dynamic linear models and vector AR and vector ARMA models.-William Seaver, Technometrics, August 2011… a very modern entry to the field of time-series modelling, with a rich reference list of the current lit

Highly comparative time-series analysis: the empirical structure of time series and their methods.

Science.gov (United States)

Fulcher, Ben D; Little, Max A; Jones, Nick S

2013-06-06

The process of collecting and organizing sets of observations represents a common theme throughout the history of science. However, despite the ubiquity of scientists measuring, recording and analysing the dynamics of different processes, an extensive organization of scientific time-series data and analysis methods has never been performed. Addressing this, annotated collections of over 35 000 real-world and model-generated time series, and over 9000 time-series analysis algorithms are analysed in this work. We introduce reduced representations of both time series, in terms of their properties measured by diverse scientific methods, and of time-series analysis methods, in terms of their behaviour on empirical time series, and use them to organize these interdisciplinary resources. This new approach to comparing across diverse scientific data and methods allows us to organize time-series datasets automatically according to their properties, retrieve alternatives to particular analysis methods developed in other scientific disciplines and automate the selection of useful methods for time-series classification and regression tasks. The broad scientific utility of these tools is demonstrated on datasets of electroencephalograms, self-affine time series, heartbeat intervals, speech signals and others, in each case contributing novel analysis techniques to the existing literature. Highly comparative techniques that compare across an interdisciplinary literature can thus be used to guide more focused research in time-series analysis for applications across the scientific disciplines.

The open corpus challenge in eLearning

Directory of Open Access Journals (Sweden)

Mahantesh K. Pattanshetti

2018-03-01

Full Text Available Learning has transcended into a life-long endeavor in the information age. It is no longer restricted to confines of formal classrooms. Consequently, a student is not restricted to traditional learning resources like teachers, textbooks or printed content. Digital resources available on the Internet form a very significant component of self-learning. Copious volumes of learning resources without legal barriers to self-learning reside in digital repositories, educational institution portals and on numerous websites. Learners wishing to utilize the web for personalized learning are faced with a daunting array of content to wade through and select the suitable ones to fulfill his/her learning objectives. Therefore, it is not a question of availability; it is one of relevance and suitability. Typically, in addition to time constraints, learners lack the expertise to screen content for effective eLearning. Adaptive hypermedia systems (AHSs offer a path to harnessing this large volume of learning resources for personalized learning. This review paper provides a concise and coherent discussion about the evolution of AHSs along with the challenges that need to be addressed for effectively harnessing openly available educational resources referred to as open corpus resources (OCRs.

State Electricity Regulatory Policy and Distributed Resources: Distributed Resource Distribution Credit Pilot Programs--Revealing the Value to Consumers and Vendors

Energy Technology Data Exchange (ETDEWEB)

Moskovitz, D.; Harrington, C.; Shirley, W.; Cowart, R.; Sedano, R.; Weston, F.

2002-10-01

Designing and implementing credit-based pilot programs for distributed resources distribution is a low-cost, low-risk opportunity to find out how these resources can help defer or avoid costly electric power system (utility grid) distribution upgrades. This report describes implementation options for deaveraged distribution credits and distributed resource development zones. Developing workable programs implementing these policies can dramatically increase the deployment of distributed resources in ways that benefit distributed resource vendors, users, and distribution utilities. This report is one in the State Electricity Regulatory Policy and Distributed Resources series developed under contract to NREL (see Annual Technical Status Report of the Regulatory Assistance Project: September 2000-September 2001, NREL/SR-560-32733). Other titles in this series are: (1) Accommodating Distributed Resources in Wholesale Markets, NREL/SR-560-32497; (2) Distributed Resources and Electric System Re liability, NREL/SR-560-32498; (3) Distribution System Cost Methodologies for Distributed Generation, NREL/SR-560-32500; (4) Distribution System Cost Methodologies for Distributed Generation Appendices, NREL/SR-560-32501.

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.

Organisational Learning: Conceptual Links to Individual Learning, Learning Organisation and Knowledge Management

OpenAIRE

Siu Loon Hoe

2007-01-01

Organisational learning has over the years been subject of much study by scholars and managers. In the process, the organisational learning concept has been linked to many other knowledge concepts such as individual learning, learning organisation, and knowledge management. This paper draws from existing literature in organisational behaviour, human resource management, marketing, and information management, to further develop the conceptual links between organisational learning and these kno...

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

A Unified Method of Finding Laplace Transforms, Fourier Transforms, and Fourier Series. [and] An Inversion Method for Laplace Transforms, Fourier Transforms, and Fourier Series. Integral Transforms and Series Expansions. Modules and Monographs in Undergraduate Mathematics and Its Applications Project. UMAP Units 324 and 325.

Science.gov (United States)

Grimm, C. A.

This document contains two units that examine integral transforms and series expansions. In the first module, the user is expected to learn how to use the unified method presented to obtain Laplace transforms, Fourier transforms, complex Fourier series, real Fourier series, and half-range sine series for given piecewise continuous functions. In…

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…

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…

SCRAN, Archaeology and Education: Realising the potential of digital resources

Directory of Open Access Journals (Sweden)

Elaine Mowat

2002-08-01

Full Text Available The many digitisation initiatives over the last ten years have made available thousands of new resources for learning and teaching. Students of archaeology now have unprecedented access to detailed views of delicate artefacts, remote landscapes and rare maps, as well as virtual reality reconstructions, interactive panoramas, and all kinds of online archives, databases and tutorials. But does this increased access to information automatically lead to improved learning? Some of the emerging problems of this new learning landscape include information overload, poorly understood and badly implemented technologies and a lack of time and skills among educators to explore properly what's newly available. On the other hand, one of the most interesting outcomes of the introduction of the new educational technologies has been a renewed and lively debate as to what learning involves and how exactly it takes place. This article will discuss the potential of digital resources to add value to learning. It will consider current ideas about learning in order to identify some of the key ingredients of a good learning experience. It will then identify the different ways in which a digital resource base can contribute to such an experience. Specifically, it will discuss how the resources contained within SCRAN, an online multimedia resource base for education, can be used in the context of learning and teaching in archaeology. There is evidence that electronic resources are not yet being fully exploited by the current generation of educators and students. By grounding this discussion of their potential within a sound pedagogic rationale, this paper aims to promote informed use and properly placed enthusiasm for these resources.

The First Shared Online Curriculum Resources for Veterinary Undergraduate Learning and Teaching in Animal Welfare and Ethics in Australia and New Zealand

Directory of Open Access Journals (Sweden)

Jane Johnson

2015-05-01

Full Text Available The need for undergraduate teaching of Animal Welfare and Ethics (AWE in Australian and New Zealand veterinary courses reflects increasing community concerns and expectations about AWE; global pressures regarding food security and sustainability; the demands of veterinary accreditation; and fears that, unless students encounter AWE as part of their formal education, as veterinarians they will be relatively unaware of the discipline of animal welfare science. To address this need we are developing online resources to ensure Australian and New Zealand veterinary graduates have the knowledge, and the research, communication and critical reasoning skills, to fulfill the AWE role demanded of them by contemporary society. To prioritize development of these resources we assembled leaders in the field of AWE education from the eight veterinary schools in Australia and New Zealand and used modified deliberative polling. This paper describes the role of the poll in developing the first shared online curriculum resource for veterinary undergraduate learning and teaching in AWE in Australia and New Zealand. The learning and teaching strategies that ranked highest in the exercise were: scenario-based learning; a quality of animal life assessment tool; the so-called ‘Human Continuum’ discussion platform; and a negotiated curriculum.

Dynamic Resource Allocation with Integrated Reinforcement Learning for a D2D-Enabled LTE-A Network with Access to Unlicensed Band

Directory of Open Access Journals (Sweden)

Alia Asheralieva

2016-01-01

Full Text Available We propose a dynamic resource allocation algorithm for device-to-device (D2D communication underlying a Long Term Evolution Advanced (LTE-A network with reinforcement learning (RL applied for unlicensed channel allocation. In a considered system, the inband and outband resources are assigned by the LTE evolved NodeB (eNB to different device pairs to maximize the network utility subject to the target signal-to-interference-and-noise ratio (SINR constraints. Because of the absence of an established control link between the unlicensed and cellular radio interfaces, the eNB cannot acquire any information about the quality and availability of unlicensed channels. As a result, a considered problem becomes a stochastic optimization problem that can be dealt with by deploying a learning theory (to estimate the random unlicensed channel environment. Consequently, we formulate the outband D2D access as a dynamic single-player game in which the player (eNB estimates its possible strategy and expected utility for all of its actions based only on its own local observations using a joint utility and strategy estimation based reinforcement learning (JUSTE-RL with regret algorithm. A proposed approach for resource allocation demonstrates near-optimal performance after a small number of RL iterations and surpasses the other comparable methods in terms of energy efficiency and throughput maximization.

Holistic approaches to e-learning accessibility

OpenAIRE

Phipps, Lawrie; Kelly, Brian

2006-01-01

The importance of accessibility to digital e-learning resources is widely acknowledged. The World Wide Web Consortium Web Accessibility Initiative has played a leading role in promoting the importance of accessibility and developing guidelines that can help when developing accessible web resources. The accessibility of e-learning resources provides additional challenges. While it is important to consider the technical and resource related aspects of e-learning when designing and developing re...

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…

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory

Directory of Open Access Journals (Sweden)

Haimin Yang

2017-01-01

Full Text Available Online time series prediction is the mainstream method in a wide range of fields, ranging from speech analysis and noise cancelation to stock market analysis. However, the data often contains many outliers with the increasing length of time series in real world. These outliers can mislead the learned model if treated as normal points in the process of prediction. To address this issue, in this paper, we propose a robust and adaptive online gradient learning method, RoAdam (Robust Adam, for long short-term memory (LSTM to predict time series with outliers. This method tunes the learning rate of the stochastic gradient algorithm adaptively in the process of prediction, which reduces the adverse effect of outliers. It tracks the relative prediction error of the loss function with a weighted average through modifying Adam, a popular stochastic gradient method algorithm for training deep neural networks. In our algorithm, the large value of the relative prediction error corresponds to a small learning rate, and vice versa. The experiments on both synthetic data and real time series show that our method achieves better performance compared to the existing methods based on LSTM.

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory.

Science.gov (United States)

Yang, Haimin; Pan, Zhisong; Tao, Qing

2017-01-01

Online time series prediction is the mainstream method in a wide range of fields, ranging from speech analysis and noise cancelation to stock market analysis. However, the data often contains many outliers with the increasing length of time series in real world. These outliers can mislead the learned model if treated as normal points in the process of prediction. To address this issue, in this paper, we propose a robust and adaptive online gradient learning method, RoAdam (Robust Adam), for long short-term memory (LSTM) to predict time series with outliers. This method tunes the learning rate of the stochastic gradient algorithm adaptively in the process of prediction, which reduces the adverse effect of outliers. It tracks the relative prediction error of the loss function with a weighted average through modifying Adam, a popular stochastic gradient method algorithm for training deep neural networks. In our algorithm, the large value of the relative prediction error corresponds to a small learning rate, and vice versa. The experiments on both synthetic data and real time series show that our method achieves better performance compared to the existing methods based on LSTM.

Foundations of Sequence-to-Sequence Modeling for Time Series

OpenAIRE

Kuznetsov, Vitaly; Mariet, Zelda

2018-01-01

The availability of large amounts of time series data, paired with the performance of deep-learning algorithms on a broad class of problems, has recently led to significant interest in the use of sequence-to-sequence models for time series forecasting. We provide the first theoretical analysis of this time series forecasting framework. We include a comparison of sequence-to-sequence modeling to classical time series models, and as such our theory can serve as a quantitative guide for practiti...

Facilitation of learning: part 1.

Science.gov (United States)

Warburton, Tyler; Trish, Houghton; Barry, Debbie

2016-04-06

This article, the fourth in a series of 11, discusses the context for the facilitation of learning. It outlines the main principles and theories for understanding the process of learning, including examples which link these concepts to practice. The practical aspects of using these theories in a practice setting will be discussed in the fifth article of this series. Together, these two articles will provide mentors and practice teachers with knowledge of the learning process, which will enable them to meet the second domain of the Nursing and Midwifery Council's Standards to Support Learning and Assessment in Practice on facilitation of learning.

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.

Resource Utilisation and Curriculum Implementation in Community Colleges in Kenya

Directory of Open Access Journals (Sweden)

Peter Changilwa Kigwilu

2017-12-01

Full Text Available The study investigated how Catholic-sponsored community colleges in Nairobi utilise the existing physical facilities and teaching and learning resources for effective implementation of Artisan and Craft curricula. The study adopted a mixed methods research design. Proportional stratified random sampling was used to sample 172 students and 18 teachers while four directors of community colleges were purposively selected. Questionnaires were administered to students and teachers, while directors were interviewed. Teaching and learning resources, such as workshops, equipment, lecture rooms, laboratories, raw materials for practical training and reference books, were found to be adequate, although underutilised. However, sports grounds, libraries and course texts were inadequate. Resource inadequacies were often mitigated by signing equipment co-sharing agreements with peer institutions and local firms. Teachers rated highly the influence of physical facilities on curriculum implementation. Both students and teachers rated highly the influence of teaching and learning resources on curriculum implementation. The study concludes that, while some physical facilities and teaching and learning resources are adequate, their underutilisation and the inadequacy of other core facilities and resources, such as libraries and course textbooks, hinder effective teaching and learning in these community colleges.

The effects of climate change on agriculture, land resources, water resources, and biodiversity in the United States

Science.gov (United States)

2008-06-01

This report provides an assessment of the effects of climate change on U.S. agriculture, land resources, water resources, and biodiversity. It is one of a series of 21 Synthesis and Assessment Products (SAP) that are being produced under the auspices...

Extract from IAEA's Resources Manual in Nuclear Medicine - Part 2. - Human Resources Development

International Nuclear Information System (INIS)

2003-01-01

The Nuclear Medicine Section of the International Atomic Energy Agency is now engaged in finalizing a reference manual in nuclear medicine, entitled, 'Resources Manual in Nuclear Medicine'. Several renowned professionals from all over the world, from virtually all fields of nuclear medicine have contributed to this manual. The World Journal of Nuclear Medicine will publish a series of extracts from this manual as previews. This is the second extract from the Resources Manual, Part-2 of the chapter on Human Resources Development. (author)

Learning through Debate during Problem-Based Learning: An Active Learning Strategy

Science.gov (United States)

Mumtaz, Sadaf; Latif, Rabia

2017-01-01

We explored medical student's views and perceptions of a series of debates conducted during problem-based learning (PBL) practiced as a part of the Spiral curriculum at the Imam Abdulrahman Bin Faisal University, Saudi Arabia. A series of debates were employed during PBL sessions for second-year female medical students, over the period 2014-2016.…

Enhancing Undergraduate Education with NASA Resources

Science.gov (United States)

Manning, James G.; Meinke, Bonnie; Schultz, Gregory; Smith, Denise Anne; Lawton, Brandon L.; Gurton, Suzanne; Astrophysics Community, NASA

2015-08-01

The NASA Astrophysics Science Education and Public Outreach Forum (SEPOF) coordinates the work of NASA Science Mission Directorate (SMD) Astrophysics EPO projects and their teams to bring cutting-edge discoveries of NASA missions to the introductory astronomy college classroom. Uniquely poised to foster collaboration between scientists with content expertise and educators with pedagogical expertise, the Forum has coordinated the development of several resources that provide new opportunities for college and university instructors to bring the latest NASA discoveries in astrophysics into their classrooms.To address the needs of the higher education community, the Astrophysics Forum collaborated with the astrophysics E/PO community, researchers, and introductory astronomy instructors to place individual science discoveries and learning resources into context for higher education audiences. The resulting products include two “Resource Guides” on cosmology and exoplanets, each including a variety of accessible resources. The Astrophysics Forum also coordinates the development of the “Astro 101” slide set series. The sets are five- to seven-slide presentations on new discoveries from NASA astrophysics missions relevant to topics in introductory astronomy courses. These sets enable Astronomy 101 instructors to include new discoveries not yet in their textbooks in their courses, and may be found at: https://www.astrosociety.org/education/resources-for-the-higher-education-audience/.The Astrophysics Forum also coordinated the development of 12 monthly “Universe Discovery Guides,” each featuring a theme and a representative object well-placed for viewing, with an accompanying interpretive story, strategies for conveying the topics, and supporting NASA-approved education activities and background information from a spectrum of NASA missions and programs. These resources are adaptable for use by instructors and may be found at: http

Time series from hyperion to track productivity in pivot agriculture in saudi arabia

KAUST Repository

Houborg, Rasmus

2017-12-13

The hyperspectral satellite sensing capacity is expected to increase substantially in the near future with the planned deployment of hyperspectral systems by both space agencies and commercial companies. These enhanced observational resources will offer new and improved ways to monitor the dynamics and characteristics of terrestrial ecosystems. This study investigates the utility of time series of hyperspectral imagery, acquired by Hyperion onboard EO-1, for quantifying variations in canopy chlorophyll (Chl_c), plant productivity, and yield over an intensive farming area in the desert of Saudi Arabia. Chl_c is estimated on the basis of predictive multi-variate empirical models established via a machine learning approach using a training dataset of in-situ measured target variables and explanatory hyperspectral indices. Resulting time series of Chl_c are translated into Gross Primary Productivity (GPP) and Yield based on semi-empirical relationships, and evaluated against ground-based observations. Results indicate significant benefit in utilizing the full suite of hyperspectral indices over multi-spectral indices constructible from Landsat-8 and Sentinel-2.

Time series from hyperion to track productivity in pivot agriculture in saudi arabia

KAUST Repository

Houborg, Rasmus; McCabe, Matthew; Angel, Yoseline; Middleton, Elizabeth M.

2017-01-01

The hyperspectral satellite sensing capacity is expected to increase substantially in the near future with the planned deployment of hyperspectral systems by both space agencies and commercial companies. These enhanced observational resources will offer new and improved ways to monitor the dynamics and characteristics of terrestrial ecosystems. This study investigates the utility of time series of hyperspectral imagery, acquired by Hyperion onboard EO-1, for quantifying variations in canopy chlorophyll (Chl_c), plant productivity, and yield over an intensive farming area in the desert of Saudi Arabia. Chl_c is estimated on the basis of predictive multi-variate empirical models established via a machine learning approach using a training dataset of in-situ measured target variables and explanatory hyperspectral indices. Resulting time series of Chl_c are translated into Gross Primary Productivity (GPP) and Yield based on semi-empirical relationships, and evaluated against ground-based observations. Results indicate significant benefit in utilizing the full suite of hyperspectral indices over multi-spectral indices constructible from Landsat-8 and Sentinel-2.

A survey of university students' perceptions of learning management systems in a low-resource setting using a technology acceptance model.

Science.gov (United States)

Chipps, Jennifer; Kerr, Jane; Brysiewicz, Petra; Walters, Fiona

2015-02-01

Learning management systems have been widely advocated for the support of distance learning. In low-resource settings, the uptake of these systems by students has been mixed. This study aimed to identify, through the use of the Technology Acceptance Model, the individual, organizational, and technological factors that could be influencing the use of learning management systems. A simple quantitative descriptive survey was conducted of nursing and health science students at a university in South Africa as part of their first exposure to a learning management system. A total of 274 respondents (56.7%) completed the survey questionnaire, made up of 213 nursing respondents (87.7%) and 61 health sciences respondents (25%). Overall, the respondents found the learning management system easy to use and useful for learning. There were significant differences between the two groups of respondents, with the respondents from health sciences being both younger and more computer literate. The nursing respondents, who received more support and orientations, reported finding the learning management system more useful. Recommendations are made for training and support to ensure uptake.

Aggregative Learning Method and Its Application for Communication Quality Evaluation

Science.gov (United States)

Akhmetov, Dauren F.; Kotaki, Minoru

2007-12-01

In this paper, so-called Aggregative Learning Method (ALM) is proposed to improve and simplify the learning and classification abilities of different data processing systems. It provides a universal basis for design and analysis of mathematical models of wide class. A procedure was elaborated for time series model reconstruction and analysis for linear and nonlinear cases. Data approximation accuracy (during learning phase) and data classification quality (during recall phase) are estimated from introduced statistic parameters. The validity and efficiency of the proposed approach have been demonstrated through its application for monitoring of wireless communication quality, namely, for Fixed Wireless Access (FWA) system. Low memory and computation resources were shown to be needed for the procedure realization, especially for data classification (recall) stage. Characterized with high computational efficiency and simple decision making procedure, the derived approaches can be useful for simple and reliable real-time surveillance and control system design.

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…

[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.

Timber resources of Ohio

Science.gov (United States)

Neal P. Kingsley; Carl E. Mayer

1970-01-01

Under the authority of the McSweeney-McNary Forest Research Act of May 22, 1928, and subsequent amendments, the Forest Service, U. S. Department of Agriculture, conducts a series of continuing forest surveys of all states to provide up-to-date information about the forest resources of the Nation. A resurvey of the timber resources of Ohio was made in 1966 and 1967 by...

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

Painting Cloud Nine: A Study of Magritte's Bottle Series.

Science.gov (United States)

Turner, Dianne

2000-01-01

Provides background information on Rene Magritte and his work. Offers an activity in which elementary and middle school students can learn about Magritte's sky and silhouette series of painted wine bottles. Explains that the lesson should be used when students are learning about poetry in language arts classes. (CMK)

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…

Working memory supports inference learning just like classification learning.

Science.gov (United States)

Craig, Stewart; Lewandowsky, Stephan

2013-08-01

Recent research has found a positive relationship between people's working memory capacity (WMC) and their speed of category learning. To date, only classification-learning tasks have been considered, in which people learn to assign category labels to objects. It is unknown whether learning to make inferences about category features might also be related to WMC. We report data from a study in which 119 participants undertook classification learning and inference learning, and completed a series of WMC tasks. Working memory capacity was positively related to people's classification and inference learning performance.

Ego Depletion Impairs Implicit Learning

Science.gov (United States)

Thompson, Kelsey R.; Sanchez, Daniel J.; Wesley, Abigail H.; Reber, Paul J.

2014-01-01

Implicit skill learning occurs incidentally and without conscious awareness of what is learned. However, the rate and effectiveness of learning may still be affected by decreased availability of central processing resources. Dual-task experiments have generally found impairments in implicit learning, however, these studies have also shown that certain characteristics of the secondary task (e.g., timing) can complicate the interpretation of these results. To avoid this problem, the current experiments used a novel method to impose resource constraints prior to engaging in skill learning. Ego depletion theory states that humans possess a limited store of cognitive resources that, when depleted, results in deficits in self-regulation and cognitive control. In a first experiment, we used a standard ego depletion manipulation prior to performance of the Serial Interception Sequence Learning (SISL) task. Depleted participants exhibited poorer test performance than did non-depleted controls, indicating that reducing available executive resources may adversely affect implicit sequence learning, expression of sequence knowledge, or both. In a second experiment, depletion was administered either prior to or after training. Participants who reported higher levels of depletion before or after training again showed less sequence-specific knowledge on the post-training assessment. However, the results did not allow for clear separation of ego depletion effects on learning versus subsequent sequence-specific performance. These results indicate that performance on an implicitly learned sequence can be impaired by a reduction in executive resources, in spite of learning taking place outside of awareness and without conscious intent. PMID:25275517

Ego depletion impairs implicit learning.

Directory of Open Access Journals (Sweden)

Kelsey R Thompson

Full Text Available Implicit skill learning occurs incidentally and without conscious awareness of what is learned. However, the rate and effectiveness of learning may still be affected by decreased availability of central processing resources. Dual-task experiments have generally found impairments in implicit learning, however, these studies have also shown that certain characteristics of the secondary task (e.g., timing can complicate the interpretation of these results. To avoid this problem, the current experiments used a novel method to impose resource constraints prior to engaging in skill learning. Ego depletion theory states that humans possess a limited store of cognitive resources that, when depleted, results in deficits in self-regulation and cognitive control. In a first experiment, we used a standard ego depletion manipulation prior to performance of the Serial Interception Sequence Learning (SISL task. Depleted participants exhibited poorer test performance than did non-depleted controls, indicating that reducing available executive resources may adversely affect implicit sequence learning, expression of sequence knowledge, or both. In a second experiment, depletion was administered either prior to or after training. Participants who reported higher levels of depletion before or after training again showed less sequence-specific knowledge on the post-training assessment. However, the results did not allow for clear separation of ego depletion effects on learning versus subsequent sequence-specific performance. These results indicate that performance on an implicitly learned sequence can be impaired by a reduction in executive resources, in spite of learning taking place outside of awareness and without conscious intent.

Ego depletion impairs implicit learning.

Science.gov (United States)

Thompson, Kelsey R; Sanchez, Daniel J; Wesley, Abigail H; Reber, Paul J

2014-01-01

Implicit skill learning occurs incidentally and without conscious awareness of what is learned. However, the rate and effectiveness of learning may still be affected by decreased availability of central processing resources. Dual-task experiments have generally found impairments in implicit learning, however, these studies have also shown that certain characteristics of the secondary task (e.g., timing) can complicate the interpretation of these results. To avoid this problem, the current experiments used a novel method to impose resource constraints prior to engaging in skill learning. Ego depletion theory states that humans possess a limited store of cognitive resources that, when depleted, results in deficits in self-regulation and cognitive control. In a first experiment, we used a standard ego depletion manipulation prior to performance of the Serial Interception Sequence Learning (SISL) task. Depleted participants exhibited poorer test performance than did non-depleted controls, indicating that reducing available executive resources may adversely affect implicit sequence learning, expression of sequence knowledge, or both. In a second experiment, depletion was administered either prior to or after training. Participants who reported higher levels of depletion before or after training again showed less sequence-specific knowledge on the post-training assessment. However, the results did not allow for clear separation of ego depletion effects on learning versus subsequent sequence-specific performance. These results indicate that performance on an implicitly learned sequence can be impaired by a reduction in executive resources, in spite of learning taking place outside of awareness and without conscious intent.

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.

Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation

Science.gov (United States)

Chen, Tianyi; Mokhtari, Aryan; Wang, Xin; Ribeiro, Alejandro; Giannakis, Georgios B.

2017-06-01

Existing approaches to resource allocation for nowadays stochastic networks are challenged to meet fast convergence and tolerable delay requirements. The present paper leverages online learning advances to facilitate stochastic resource allocation tasks. By recognizing the central role of Lagrange multipliers, the underlying constrained optimization problem is formulated as a machine learning task involving both training and operational modes, with the goal of learning the sought multipliers in a fast and efficient manner. To this end, an order-optimal offline learning approach is developed first for batch training, and it is then generalized to the online setting with a procedure termed learn-and-adapt. The novel resource allocation protocol permeates benefits of stochastic approximation and statistical learning to obtain low-complexity online updates with learning errors close to the statistical accuracy limits, while still preserving adaptation performance, which in the stochastic network optimization context guarantees queue stability. Analysis and simulated tests demonstrate that the proposed data-driven approach improves the delay and convergence performance of existing resource allocation schemes.

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...

What students learn in problem-based learning: a process analysis

NARCIS (Netherlands)

E.H.J. Yew (Elaine); H.G. Schmidt (Henk)

2012-01-01

textabstractThis study aimed to provide an account of how learning takes place in problem-based learning (PBL), and to identify the relationships between the learning-oriented activities of students with their learning outcomes. First, the verbal interactions and computer resources studied by nine

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.

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…

Developing a Holistic Approach for E-Learning Accessibility

Directory of Open Access Journals (Sweden)

Brian Kelly

2004-10-01

Full Text Available The importance of accessibility to digital resources is now widely acknowledged. The W3C WAI has played a significant role in promoting the importance of accessibility and developing a framework for accessible Web resources. The accessibility of e-learning provides additional challenges that may not be faced when providing access to other Web resources. The authors argue that there is a need for a more sophisticated model for addressing e-learning accessibility which takes into account the usability of e-learning, pedagogic issues and student learning styles in addition to technical and resource issues. The authors expand on these issues and propose a holistic model for the development of accessible e-learning resources.

Classification of time-series images using deep convolutional neural networks

Science.gov (United States)

Hatami, Nima; Gavet, Yann; Debayle, Johan

2018-04-01

Convolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical feature representation from raw data. While the majority of Time-Series Classification (TSC) literature is focused on 1D signals, this paper uses Recurrence Plots (RP) to transform time-series into 2D texture images and then take advantage of the deep CNN classifier. Image representation of time-series introduces different feature types that are not available for 1D signals, and therefore TSC can be treated as texture image recognition task. CNN model also allows learning different levels of representations together with a classifier, jointly and automatically. Therefore, using RP and CNN in a unified framework is expected to boost the recognition rate of TSC. Experimental results on the UCR time-series classification archive demonstrate competitive accuracy of the proposed approach, compared not only to the existing deep architectures, but also to the state-of-the art TSC algorithms.

A Resource Curriculum in Public Address.

Science.gov (United States)

Bergman, Richard F.

Developed as part of a series of teacher resource curriculum units in communication arts, this resource unit on public speaking includes several components organized for direct teacher use. The seven units that are offered include introduction to public communication, delivery, language, organization, speaking to share information, speaking to…

Collaborative Visualization Project: shared-technology learning environments for science learning

Science.gov (United States)

Pea, Roy D.; Gomez, Louis M.

1993-01-01

Project-enhanced science learning (PESL) provides students with opportunities for `cognitive apprenticeships' in authentic scientific inquiry using computers for data-collection and analysis. Student teams work on projects with teacher guidance to develop and apply their understanding of science concepts and skills. We are applying advanced computing and communications technologies to augment and transform PESL at-a-distance (beyond the boundaries of the individual school), which is limited today to asynchronous, text-only networking and unsuitable for collaborative science learning involving shared access to multimedia resources such as data, graphs, tables, pictures, and audio-video communication. Our work creates user technology (a Collaborative Science Workbench providing PESL design support and shared synchronous document views, program, and data access; a Science Learning Resource Directory for easy access to resources including two-way video links to collaborators, mentors, museum exhibits, media-rich resources such as scientific visualization graphics), and refine enabling technologies (audiovisual and shared-data telephony, networking) for this PESL niche. We characterize participation scenarios for using these resources and we discuss national networked access to science education expertise.

Radial basis function neural networks with sequential learning MRAN and its applications

CERN Document Server

Sundararajan, N; Wei Lu Ying

1999-01-01

This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification, control, communication and signal processing. Benchmark problems from these areas have been studied, and MRAN is compared with other algorithms. In order to make the book self-contained, a review of t

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.

The combining of multiple hemispheric resources in learning-disabled and skilled readers' recall of words: a test of three information-processing models.

Science.gov (United States)

Swanson, H L

1987-01-01

Three theoretical models (additive, independence, maximum rule) that characterize and predict the influence of independent hemispheric resources on learning-disabled and skilled readers' simultaneous processing were tested. Predictions related to word recall performance during simultaneous encoding conditions (dichotic listening task) were made from unilateral (dichotic listening task) presentations. The maximum rule model best characterized both ability groups in that simultaneous encoding produced no better recall than unilateral presentations. While the results support the hypothesis that both ability groups use similar processes in the combining of hemispheric resources (i.e., weak/dominant processing), ability group differences do occur in the coordination of such resources.

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…