Science.gov

Sample records for computer based learning

  1. Computer-Based Learning in Chemistry Classes

    ERIC Educational Resources Information Center

    Pietzner, Verena

    2014-01-01

    Currently not many people would doubt that computers play an essential role in both public and private life in many countries. However, somewhat surprisingly, evidence of computer use is difficult to find in German state schools although other countries have managed to implement computer-based teaching and learning in their schools. This paper…

  2. Learning with Computer-Based Learning Environments: A Literature Review of Computer Self-Efficacy

    ERIC Educational Resources Information Center

    Moos, Daniel C.; Azevedo, Roger

    2009-01-01

    Although computer-based learning environments (CBLEs) are becoming more prevalent in the classroom, empirical research has demonstrated that some students have difficulty learning with these environments. The motivation construct of computer-self efficacy plays an integral role in learning with CBLEs. This literature review synthesizes research…

  3. Computer-Based Integrated Learning Systems: Research and Theory.

    ERIC Educational Resources Information Center

    Hativa, Nira, Ed.; Becker, Henry Jay, Ed.

    1994-01-01

    The eight chapters of this theme issue discuss recent research and theory concerning computer-based integrated learning systems. Following an introduction about their theoretical background and current use in schools, the effects of using computer-based integrated learning systems in the elementary school classroom are considered. (SLD)

  4. Adult Learning in a Computer-Based ESL Acquisition Program

    ERIC Educational Resources Information Center

    Sanchez, Karen Renee

    2013-01-01

    This study explores the self-efficacy of students learning English as a Second Language on the computer-based Rosetta Stone program. The research uses a qualitative approach to explore how a readily available computer-based learning program, Rosetta Stone, can help adult immigrant students gain some English competence and so acquire a greater…

  5. Entanglement-based machine learning on a quantum computer.

    PubMed

    Cai, X-D; Wu, D; Su, Z-E; Chen, M-C; Wang, X-L; Li, Li; Liu, N-L; Lu, C-Y; Pan, J-W

    2015-03-20

    Machine learning, a branch of artificial intelligence, learns from previous experience to optimize performance, which is ubiquitous in various fields such as computer sciences, financial analysis, robotics, and bioinformatics. A challenge is that machine learning with the rapidly growing "big data" could become intractable for classical computers. Recently, quantum machine learning algorithms [Lloyd, Mohseni, and Rebentrost, arXiv.1307.0411] were proposed which could offer an exponential speedup over classical algorithms. Here, we report the first experimental entanglement-based classification of two-, four-, and eight-dimensional vectors to different clusters using a small-scale photonic quantum computer, which are then used to implement supervised and unsupervised machine learning. The results demonstrate the working principle of using quantum computers to manipulate and classify high-dimensional vectors, the core mathematical routine in machine learning. The method can, in principle, be scaled to larger numbers of qubits, and may provide a new route to accelerate machine learning.

  6. Entanglement-Based Machine Learning on a Quantum Computer

    NASA Astrophysics Data System (ADS)

    Cai, X.-D.; Wu, D.; Su, Z.-E.; Chen, M.-C.; Wang, X.-L.; Li, Li; Liu, N.-L.; Lu, C.-Y.; Pan, J.-W.

    2015-03-01

    Machine learning, a branch of artificial intelligence, learns from previous experience to optimize performance, which is ubiquitous in various fields such as computer sciences, financial analysis, robotics, and bioinformatics. A challenge is that machine learning with the rapidly growing "big data" could become intractable for classical computers. Recently, quantum machine learning algorithms [Lloyd, Mohseni, and Rebentrost, arXiv.1307.0411] were proposed which could offer an exponential speedup over classical algorithms. Here, we report the first experimental entanglement-based classification of two-, four-, and eight-dimensional vectors to different clusters using a small-scale photonic quantum computer, which are then used to implement supervised and unsupervised machine learning. The results demonstrate the working principle of using quantum computers to manipulate and classify high-dimensional vectors, the core mathematical routine in machine learning. The method can, in principle, be scaled to larger numbers of qubits, and may provide a new route to accelerate machine learning.

  7. Experiential Learning through Computer-Based Simulations.

    ERIC Educational Resources Information Center

    Maynes, Bill; And Others

    1992-01-01

    Describes experiential learning instructional model and simulation for student principals. Describes interactive laser videodisc simulation. Reports preliminary findings about student principal learning from simulation. Examines learning approaches by unsuccessful and successful students and learning levels of model learners. Simulation's success…

  8. An E-learning System based on Affective Computing

    NASA Astrophysics Data System (ADS)

    Duo, Sun; Song, Lu Xue

    In recent years, e-learning as a learning system is very popular. But the current e-learning systems cannot instruct students effectively since they do not consider the emotional state in the context of instruction. The emergence of the theory about "Affective computing" can solve this question. It can make the computer's intelligence no longer be a pure cognitive one. In this paper, we construct an emotional intelligent e-learning system based on "Affective computing". A dimensional model is put forward to recognize and analyze the student's emotion state and a virtual teacher's avatar is offered to regulate student's learning psychology with consideration of teaching style based on his personality trait. A "man-to-man" learning environment is built to simulate the traditional classroom's pedagogy in the system.

  9. Challenges for Design of Computer-Based Learning Environments.

    ERIC Educational Resources Information Center

    Hakkinen, Paivi

    2002-01-01

    Presents a review of the basic foundations and recent challenges of the main instructional design traditions. Topics include learner characteristics; learner-controlled instruction; learning environments; the role of instructional interventions; computer-based instruction and other new technologies; and new theories of learning and design.…

  10. Computer-based Training in Medicine and Learning Theories.

    PubMed

    Haag, Martin; Bauch, Matthias; Garde, Sebastian; Heid, Jörn; Weires, Thorsten; Leven, Franz-Josef

    2005-01-01

    Computer-based training (CBT) systems can efficiently support modern teaching and learning environments. In this paper, we demonstrate on the basis of the case-based CBT system CAMPUS that current learning theories and design principles (Bloom's Taxonomy and practice fields) are (i) relevant to CBT and (ii) are feasible to implement using computer-based training and adequate learning environments. Not all design principles can be fulfilled by the system alone, the integration of the system in adequate teaching and learning environments therefore is essential. Adequately integrated, CBT programs become valuable means to build or support practice fields for learners that build domain knowledge and problem-solving skills. Learning theories and their design principles can support in designing these systems as well as in assessing their value.

  11. Learning Machine, Vietnamese Based Human-Computer Interface.

    ERIC Educational Resources Information Center

    Northwest Regional Educational Lab., Portland, OR.

    The sixth session of IT@EDU98 consisted of seven papers on the topic of the learning machine--Vietnamese based human-computer interface, and was chaired by Phan Viet Hoang (Informatics College, Singapore). "Knowledge Based Approach for English Vietnamese Machine Translation" (Hoang Kiem, Dinh Dien) presents the knowledge base approach,…

  12. Traditional classroom education versus computer-based learning: how nurses learn about pressure ulcers.

    PubMed

    Esche, Carol Ann; Warren, Joan I; Woods, Anne B; Jesada, Elizabeth C; Iliuta, Ruth

    2015-01-01

    The goal of the Nurse Professional Development specialist is to utilize the most effective educational strategies when educating staff nurses about pressure ulcer prevention. More information is needed about the effect of computer-based learning and traditional classroom learning on pressure ulcer education for the staff nurse. This study compares computer-based learning and traditional classroom learning on immediate and long-term knowledge while evaluating the impact of education on pressure ulcer risk assessment, staging, and documentation.

  13. Smart learning services based on smart cloud computing.

    PubMed

    Kim, Svetlana; Song, Su-Mi; Yoon, Yong-Ik

    2011-01-01

    Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user's behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)--smart pull, smart prospect, smart content, and smart push--concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users' needs by collecting and analyzing users' behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users' behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users.

  14. Smart Learning Services Based on Smart Cloud Computing

    PubMed Central

    Kim, Svetlana; Song, Su-Mi; Yoon, Yong-Ik

    2011-01-01

    Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)—smart pull, smart prospect, smart content, and smart push—concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users’ needs by collecting and analyzing users’ behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users’ behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users. PMID:22164048

  15. Learning to Teach with Worked-out Examples: A Computer-Based Learning Environment for Teachers

    ERIC Educational Resources Information Center

    Hilbert, T. S.; Renkl, A.; Schworm, S.; Kessler, S.; Reiss, K.

    2008-01-01

    Learning from worked-out examples has been shown to be very effective in initial cognitive skill acquisition. In order to fully exploit the potential of example-based learning, teachers should, however, know how to effectively employ such examples in classroom instruction. Therefore, we have designed a computer-based learning environment in which…

  16. Cloud Computing Based E-Learning System

    ERIC Educational Resources Information Center

    Al-Zoube, Mohammed; El-Seoud, Samir Abou; Wyne, Mudasser F.

    2010-01-01

    Cloud computing technologies although in their early stages, have managed to change the way applications are going to be developed and accessed. These technologies are aimed at running applications as services over the internet on a flexible infrastructure. Microsoft office applications, such as word processing, excel spreadsheet, access database…

  17. Students' Motivation toward Computer-Based Language Learning

    ERIC Educational Resources Information Center

    Genc, Gulten; Aydin, Selami

    2011-01-01

    The present article examined some factors affecting the motivation level of the preparatory school students in using a web-based computer-assisted language-learning course. The sample group of the study consisted of 126 English-as-a-foreign-language learners at a preparatory school of a state university. After performing statistical analyses…

  18. Computer-Based Training for Learning English Vowel Contrasts

    ERIC Educational Resources Information Center

    Wang, Xinchun; Munro, Murray J.

    2004-01-01

    Computer-based training can be effective in improving second language learners' perceptions and productions of segmental speech contrasts. However, because most previous studies have addressed specific theoretical problems in speech learning, an impact on pedagogy has hardly been felt. Research participants are commonly subjected to rigid research…

  19. Computer-based learning in neuroanatomy: A longitudinal study of learning, transfer, and retention

    NASA Astrophysics Data System (ADS)

    Chariker, Julia H.

    A longitudinal experiment was conducted to explore computer-based learning of neuroanatomy. Using a realistic 3D graphical model of neuroanatomy, and sections derived from the model, exploratory graphical tools were integrated into interactive computer programs so as to allow adaptive exploration. 72 participants learned either sectional anatomy alone or learned whole anatomy followed by sectional anatomy. Sectional anatomy was explored either in perceptually continuous animation or discretely, as in the use of an anatomical atlas. Learning was measured longitudinally to a high performance criterion. After learning, transfer to biomedical images and long-term retention was tested. Learning whole anatomy prior to learning sectional anatomy led to a more efficient learning experience. Learners demonstrated high levels of transfer from whole anatomy to sectional anatomy and from sectional anatomy to complex biomedical images. All learning groups demonstrated high levels of retention at 2--3 weeks.

  20. A Computer-Based System for Studies in Learning

    DTIC Science & Technology

    1974-09-01

    A D/A-000 102 A COMPUTER-BASED SYSTEM FOR STUDIES IN LEARNING Donald K. Centner, el al C a 1 i f o r n i a U n i v e nit v...DvlCUMENTATION PAGE I HEAD INSTRUCTIONS 1 1 Rf P;B’r S ^MBE R Tj GOVT ACCESSION NO 4 Ti T .. E ami f.itnlli- A Computer-Based System for...uuibisEinns D ams Th e views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily

  1. Inquiry-Based Learning Case Studies for Computing and Computing Forensic Students

    ERIC Educational Resources Information Center

    Campbell, Jackie

    2012-01-01

    Purpose: The purpose of this paper is to describe and discuss the use of specifically-developed, inquiry-based learning materials for Computing and Forensic Computing students. Small applications have been developed which require investigation in order to de-bug code, analyse data issues and discover "illegal" behaviour. The applications…

  2. The Effects of Computer Supported Problem Based Learning on Students' Approaches to Learning

    ERIC Educational Resources Information Center

    Ak, Serife

    2011-01-01

    The purpose of this paper is to investigate the effects of computer supported problem based learning on students' approaches to learning. The research was conducted as a pre-test and posttest one-grouped design used to achieve the objectives of the study. The experimental process of study lasted 5 weeks and was carried out on 78 university…

  3. The Effect of Computer Game-Based Learning on FL Vocabulary Transferability

    ERIC Educational Resources Information Center

    Franciosi, Stephan J.

    2017-01-01

    In theory, computer game-based learning can support several vocabulary learning affordances that have been identified in the foreign language learning research. In the observable evidence, learning with computer games has been shown to improve performance on vocabulary recall tests. However, while simple recall can be a sign of learning,…

  4. Dynamic Scaffolding of Socially Regulated Learning in a Computer-Based Learning Environment

    ERIC Educational Resources Information Center

    Molenaar, Inge; Roda, Claudia; van Boxtel, Carla; Sleegers, Peter

    2012-01-01

    The aim of this study is to test the effects of dynamically scaffolding social regulation of middle school students working in a computer-based learning environment. Dyads in the scaffolding condition (N=56) are supported with computer-generated scaffolds and students in the control condition (N=54) do not receive scaffolds. The scaffolds are…

  5. Computer-based Learning of Neuroanatomy: A Longitudinal Study of Learning, Transfer, and Retention

    PubMed Central

    Chariker, Julia H.; Naaz, Farah; Pani, John R.

    2013-01-01

    A longitudinal experiment was conducted to evaluate the effectiveness of new methods for learning neuroanatomy with computer-based instruction. Using a 3D graphical model of the human brain, and sections derived from the model, tools for exploring neuroanatomy were developed to encourage adaptive exploration. This is an instructional method which incorporates graphical exploration in the context of repeated testing and feedback. With this approach, 72 participants learned either sectional anatomy alone or whole anatomy followed by sectional anatomy. Sectional anatomy was explored either with perceptually continuous navigation through the sections or with discrete navigation (as in the use of an anatomical atlas). Learning was measured longitudinally to a high performance criterion. Subsequent tests examined transfer of learning to the interpretation of biomedical images and long-term retention. There were several clear results of this study. On initial exposure to neuroanatomy, whole anatomy was learned more efficiently than sectional anatomy. After whole anatomy was mastered, learners demonstrated high levels of transfer of learning to sectional anatomy and from sectional anatomy to the interpretation of complex biomedical images. Learning whole anatomy prior to learning sectional anatomy led to substantially fewer errors overall than learning sectional anatomy alone. Use of continuous or discrete navigation through sectional anatomy made little difference to measured outcomes. Efficient learning, good long-term retention, and successful transfer to the interpretation of biomedical images indicated that computer-based learning using adaptive exploration can be a valuable tool in instruction of neuroanatomy and similar disciplines. PMID:23349552

  6. Computer-Based Technology in Language Learning: Beyond the Walls of the Traditional Classroom.

    ERIC Educational Resources Information Center

    Lian, Peter-Andrew; And Others

    1987-01-01

    Considers computer-based technology as a change agent for methodological emphasis in the use of language learning applications; examines the issues of language learning methodology, the relationship of methodology and computer-based technology, and changes in institutional learning environments; and highlights some of the computer-aided language…

  7. 2.5D dictionary learning based computed tomography reconstruction

    NASA Astrophysics Data System (ADS)

    Luo, Jiajia; Eri, Haneda; Can, Ali; Ramani, Sathish; Fu, Lin; De Man, Bruno

    2016-05-01

    A computationally efficient 2.5D dictionary learning (DL) algorithm is proposed and implemented in the model- based iterative reconstruction (MBIR) framework for low-dose CT reconstruction. MBIR is based on the minimization of a cost function containing data-fitting and regularization terms to control the trade-off between data-fidelity and image noise. Due to the strong denoising performance of DL, it has previously been considered as a regularizer in MBIR, and both 2D and 3D DL implementations are possible. Compared to the 2D case, 3D DL keeps more spatial information and generates images with better quality although it requires more computation. We propose a novel 2.5D DL scheme, which leverages the computational advantage of 2D-DL, while attempting to maintain reconstruction quality similar to 3D-DL. We demonstrate the effectiveness of this new 2.5D DL scheme for MBIR in low-dose CT. By applying the 2D DL method in three different orthogonal planes and calculating the sparse coefficients accordingly, much of the 3D spatial information can be preserved without incurring the computational penalty of the 3D DL method. For performance evaluation, we use baggage phantoms with different number of projection views. In order to quantitatively compare the performance of different algorithms, we use PSNR, SSIM and region based standard deviation to measure the noise level, and use the edge response to calculate the resolution. Experimental results with full view datasets show that the different DL based algorithms have similar performance and 2.5D DL has the best resolution. Results with sparse view datasets show that 2.5D DL outperforms both 2D and 3D DL in terms of noise reduction. We also compare the computational costs, and 2.5D DL shows strong advantage over 3D DL in both full-view and sparse-view cases.

  8. Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning.

    PubMed

    van Ginneken, Bram

    2017-03-01

    Half a century ago, the term "computer-aided diagnosis" (CAD) was introduced in the scientific literature. Pulmonary imaging, with chest radiography and computed tomography, has always been one of the focus areas in this field. In this study, I describe how machine learning became the dominant technology for tackling CAD in the lungs, generally producing better results than do classical rule-based approaches, and how the field is now rapidly changing: in the last few years, we have seen how even better results can be obtained with deep learning. The key differences among rule-based processing, machine learning, and deep learning are summarized and illustrated for various applications of CAD in the chest.

  9. Computer-based learning: games as an instructional strategy.

    PubMed

    Blake, J; Goodman, J

    1999-01-01

    Games are a creative teaching strategy that enhances learning and problem solving. Gaming strategies are being used by the authors to make learning interesting, stimulating and fun. This article focuses on the development and implementation of computer games as an instructional strategy. Positive outcomes have resulted from the use of games in the classroom.

  10. Computer-Based Learning in Open and Distance Learning Institutions in Nigeria: Cautions on Use of Internet for Counseling

    ERIC Educational Resources Information Center

    Okopi, Fidel Onjefu; Odeyemi, Olajumoke Janet; Adesina, Adewale

    2015-01-01

    The study has identified the areas of strengths and weaknesses in the current use of Computer Based Learning (CBL) tools in Open and Distance Learning (ODL) institutions in Nigeria. To achieve these objectives, the following research questions were proposed: (i) What are the computer-based learning tools (soft and hard ware) that are actually in…

  11. An Infrastructure for Web-Based Computer Assisted Learning

    ERIC Educational Resources Information Center

    Joy, Mike; Muzykantskii, Boris; Rawles, Simon; Evans, Michael

    2002-01-01

    We describe an initiative under way at Warwick to provide a technical foundation for computer aided learning and computer-assisted assessment tools, which allows a rich dialogue sensitive to individual students' response patterns. The system distinguishes between dialogues for individual problems and the linking of problems. This enables a subject…

  12. Computer-Based Learning of Neuroanatomy: A Longitudinal Study of Learning, Transfer, and Retention

    ERIC Educational Resources Information Center

    Chariker, Julia H.; Naaz, Farah; Pani, John R.

    2011-01-01

    A longitudinal experiment was conducted to evaluate the effectiveness of new methods for learning neuroanatomy with computer-based instruction. Using a three-dimensional graphical model of the human brain and sections derived from the model, tools for exploring neuroanatomy were developed to encourage "adaptive exploration". This is an…

  13. Spiral and Project-Based Learning with Peer Assessment in a Computer Science Project Management Course

    ERIC Educational Resources Information Center

    Jaime, Arturo; Blanco, José Miguel; Domínguez, César; Sánchez, Ana; Heras, Jónathan; Usandizaga, Imanol

    2016-01-01

    Different learning methods such as project-based learning, spiral learning and peer assessment have been implemented in science disciplines with different outcomes. This paper presents a proposal for a project management course in the context of a computer science degree. Our proposal combines three well-known methods: project-based learning,…

  14. Computer Support for Learning Mathematics: A Learning Environment Based on Recreational Learning Objects

    ERIC Educational Resources Information Center

    Lopez-Morteo, Gabriel; Lopez, Gilberto

    2007-01-01

    In this paper, we introduce an electronic collaborative learning environment based on Interactive Instructors of Recreational Mathematics (IIRM), establishing an alternative approach for motivating students towards mathematics. The IIRM are educational software components, specializing in mathematical concepts, presented through recreational…

  15. ComputerTown: A Do-It-Yourself Community Computer Project. [Computer Town, USA and Other Microcomputer Based Alternatives to Traditional Learning Environments].

    ERIC Educational Resources Information Center

    Zamora, Ramon M.

    Alternative learning environments offering computer-related instruction are developing around the world. Storefront learning centers, museum-based computer facilities, and special theme parks are some of the new concepts. ComputerTown, USA! is a public access computer literacy project begun in 1979 to serve both adults and children in Menlo Park…

  16. Improving Transfer of Learning in a Computer Based Classroom.

    ERIC Educational Resources Information Center

    Davis, Jay Bee

    This report describes a program for improving the transfer of the learning of different techniques used in computer applications. The targeted population consisted of sophomores and juniors in a suburban high school in a middle class community. The problem was documented through teacher surveys, student surveys, anecdotal records and behavioral…

  17. Alternative Goal Structures for Computer Game-Based Learning

    ERIC Educational Resources Information Center

    Ke, Fengfeng

    2008-01-01

    This field study investigated the application of cooperative, competitive, and individualistic goal structures in classroom use of computer math games and its impact on students' math performance and math learning attitudes. One hundred and sixty 5th-grade students were recruited and randomly assigned to Teams-Games-Tournament cooperative gaming,…

  18. A Theoretical Analysis of Social Interactions in Computer-based Learning Environments: Evidence for Reciprocal Understandings.

    ERIC Educational Resources Information Center

    Jarvela, Sanna; Bonk, Curtis Jay; Lehtinen, Erno; Lehti, Sirpa

    1999-01-01

    Presents a theoretical and empirical analysis of social interactions in computer-based learning environments. Explores technology use to support reciprocal understanding between teachers and students based on three technology-based learning environments in Finland and the United States, and discusses situated learning, cognitive apprenticeships,…

  19. Development of an Interactive Computer-Based Learning Strategy to Assist in Teaching Water Quality Modelling

    ERIC Educational Resources Information Center

    Zigic, Sasha; Lemckert, Charles J.

    2007-01-01

    The following paper presents a computer-based learning strategy to assist in introducing and teaching water quality modelling to undergraduate civil engineering students. As part of the learning strategy, an interactive computer-based instructional (CBI) aid was specifically developed to assist students to set up, run and analyse the output from a…

  20. Rationale, Design and Implementation of a Computer Vision-Based Interactive E-Learning System

    ERIC Educational Resources Information Center

    Xu, Richard Y. D.; Jin, Jesse S.

    2007-01-01

    This article presents a schematic application of computer vision technologies to e-learning that is synchronous, peer-to-peer-based, and supports an instructor's interaction with non-computer teaching equipments. The article first discusses the importance of these focused e-learning areas, where the properties include accurate bidirectional…

  1. Reconceptualizing Pedagogical Usability of and Teachers' Roles in Computer Game-Based Learning in School

    ERIC Educational Resources Information Center

    Tzuo, Pei-Wen; Ling, Jennifer Isabelle Ong Pei; Yang, Chien-Hui; Chen, Vivian Hsueh-Hua

    2012-01-01

    At present, methods for the optimal use of two approaches to computer game-based learning in school to enhance students' learning, namely, computer game play and game design, are obscure because past research has been devoted more to designing rather than evaluating the implementation of these approaches in school. In addition, most studies…

  2. Bridging Theory and Practice: Developing Guidelines to Facilitate the Design of Computer-Based Learning Environments

    ERIC Educational Resources Information Center

    Young, Lisa D.

    2003-01-01

    The design of computer-­based learning environments has undergone a paradigm shift; moving students away from instruction that was considered to promote technical rationality grounded in objectivism, to the application of computers to create cognitive tools utilized in constructivist environments. The goal of the resulting computer-­based learning…

  3. An Exploration of Students' Strategy Use in Inquiry-Based Computer-Supported Collaborative Learning

    ERIC Educational Resources Information Center

    Salovaara, Hanna

    2005-01-01

    The aim of this study is to investigate students' use of cognitive learning strategies in inquiry-based computer-supported collaborative learning (CSCL). A process-oriented interview framework on cognitive activity, self-regulation and motivation, and a coding category for analysing cognitive learning strategies and cognitive self-regulation was…

  4. Integrating on campus problem based learning and practice based learning: issues and challenges in using computer mediated communication.

    PubMed

    Conway, J; Sharkey, R

    2002-10-01

    The Faculty of Nursing, University of Newcastle, Australia, has been keen to initiate strategies that enhance student learning and nursing practice. Two strategies are problem based learning (PBL) and clinical practice. The Faculty has maintained a comparatively high proportion of the undergraduate hours in the clinical setting in times when financial constraints suggest that simulations and on campus laboratory experiences may be less expensive.Increasingly, computer based technologies are becoming sufficiently refined to support the exploration of nursing practice in a non-traditional lecture/tutorial environment. In 1998, a group of faculty members proposed that computer mediated instruction would provide an opportunity for partnership between students, academics and clinicians that would promote more positive outcomes for all and maintain the integrity of the PBL approach. This paper discusses the similarities between problem based and practice based learning and presents the findings of an evaluative study of the implementation of a practice based learning model that uses computer mediated communication to promote integration of practice experiences with the broader goals of the undergraduate curriculum.

  5. Effects of people knowledge on science learning in a computer-based learning environment

    NASA Astrophysics Data System (ADS)

    Hong, Huang-Yao

    A weakness inherent in science education has been, and continues to be, its emphasis principally on the teaching of scientific knowledge, i.e. knowledge of the object (or the observed). Little attention has been directed to the teaching of people knowledge about scientists, i.e. knowledge of the subject (or the observer), who generates scientific knowledge. This study explored the possible effects of people knowledge on science learning. Participants in the study were 323 tenth graders from nine classes in a public school in Taipei, Taiwan. They were randomly assigned to three groups to self-study science in a computer-based learning environment. The control group was instructed to study various scientific laws discovered by three scientists in three science lessons. The other two groups were instructed to study the same science lessons after studying one of two kinds of people knowledge about the three scientists: achievement-oriented people knowledge (APK) and process-oriented people knowledge (PPK). APK profiles scientists' scientific achievements, and PPK describes scientists' struggles before making the scientific discoveries. The main findings were: Firstly, it was found from problem-solving tests that all three groups performed equally well in applying what they learned from the lessons to solve textbook problems. However, in applying what they learned to interpret the relationships between scientific laws, only the PPK group performed better. Secondly, regarding learning interest, among the students who showed high personal interest in science, the APK group tended to consider the lessons as less interesting than the control group. Among the students who demonstrated low personal interest in science, the PPK group tended to consider the science lessons as more interesting than the control group. Thirdly, in describing their image of the three scientists, the APK group tended to emphasize the abilities and successes of the scientists, whereas the PPK group

  6. Web-based Learning and Computer Supported Collaborative Learning for psychomotor skill acquisition: perspectives of medical undergraduate students.

    PubMed

    Koh, Jansen; Cheung, Jeffrey J H; Mackinnon, Kim; Brett, Clare; Kapralos, Bill; Dubrowski, Adam

    2013-01-01

    There is a lack of evidence for the use of Web-based Learning (WBL) and Computer Supported Collaborative Learning (CSCL) for acquiring psychomotor skills in medical education. In this study, we surveyed medical undergraduate students attending a simulation based training session for central line insertion on their perspectives and utilization of WBL and CSCL for acquisition of a complex psychomotor skill.

  7. Dopamine selectively remediates 'model-based' reward learning: a computational approach.

    PubMed

    Sharp, Madeleine E; Foerde, Karin; Daw, Nathaniel D; Shohamy, Daphna

    2016-02-01

    Patients with loss of dopamine due to Parkinson's disease are impaired at learning from reward. However, it remains unknown precisely which aspect of learning is impaired. In particular, learning from reward, or reinforcement learning, can be driven by two distinct computational processes. One involves habitual stamping-in of stimulus-response associations, hypothesized to arise computationally from 'model-free' learning. The other, 'model-based' learning, involves learning a model of the world that is believed to support goal-directed behaviour. Much work has pointed to a role for dopamine in model-free learning. But recent work suggests model-based learning may also involve dopamine modulation, raising the possibility that model-based learning may contribute to the learning impairment in Parkinson's disease. To directly test this, we used a two-step reward-learning task which dissociates model-free versus model-based learning. We evaluated learning in patients with Parkinson's disease tested ON versus OFF their dopamine replacement medication and in healthy controls. Surprisingly, we found no effect of disease or medication on model-free learning. Instead, we found that patients tested OFF medication showed a marked impairment in model-based learning, and that this impairment was remediated by dopaminergic medication. Moreover, model-based learning was positively correlated with a separate measure of working memory performance, raising the possibility of common neural substrates. Our results suggest that some learning deficits in Parkinson's disease may be related to an inability to pursue reward based on complete representations of the environment.

  8. Construction of a Digital Learning Environment Based on Cloud Computing

    ERIC Educational Resources Information Center

    Ding, Jihong; Xiong, Caiping; Liu, Huazhong

    2015-01-01

    Constructing the digital learning environment for ubiquitous learning and asynchronous distributed learning has opened up immense amounts of concrete research. However, current digital learning environments do not fully fulfill the expectations on supporting interactive group learning, shared understanding and social construction of knowledge.…

  9. Development and validation of a computer-based learning module for wrist arthroscopy.

    PubMed

    Obdeijn, M C; Alewijnse, J V; Mathoulin, C; Liverneaux, P; Tuijthof, G J M; Schijven, M P

    2014-04-01

    The objective of this study was to develop and validate a computer-based module for wrist arthroscopy to which a group of experts could consent. The need for such a module was assessed with members of the European Wrist Arthroscopy Society (EWAS). The computer-based module was developed through several rounds of consulting experts on the content. The module's learning enhancement was tested in a randomized controlled trial with 28 medical students who were assigned to the computer-based module group or lecture group. The design process led to a useful tool, which is supported by a panel of experts. Although the computer based module did not enhance learning, the participants did find the module more pleasant to use. Developing learning tools such as this computer-based module can improve the teaching of wrist arthroscopy skills.

  10. The Effects of Analogies and Mathematics Ability on Students' Programming Learning Using Computer-Based Learning.

    ERIC Educational Resources Information Center

    Lai, Shu-Ling; Repman, Judith L.

    1996-01-01

    Purposes of this study were to determine: (1) if analogies and elaboration and placement of the analogies help novices learning a computer-programming language; (2) if students' mathematics ability influences programming learning; and (3) the interaction effects between analogy and mathematics ability. Subjects were 156 college students. Results…

  11. Discovery Learning, Representation, and Explanation within a Computer-Based Simulation: Finding the Right Mix

    ERIC Educational Resources Information Center

    Rieber, Lloyd P.; Tzeng, Shyh-Chii; Tribble, Kelly

    2004-01-01

    The purpose of this research was to explore how adult users interact and learn during an interactive computer-based simulation supplemented with brief multimedia explanations of the content. A total of 52 college students interacted with a computer-based simulation of Newton's laws of motion in which they had control over the motion of a simple…

  12. The Influence of Self-Regulated Learning and Prior Knowledge on Knowledge Acquisition in Computer-Based Learning Environments

    ERIC Educational Resources Information Center

    Bernacki, Matthew

    2010-01-01

    This study examined how learners construct textbase and situation model knowledge in hypertext computer-based learning environments (CBLEs) and documented the influence of specific self-regulated learning (SRL) tactics, prior knowledge, and characteristics of the learner on posttest knowledge scores from exposure to a hypertext. A sample of 160…

  13. Factors Influencing Learners' Perceptions of the Quality of Computer Based Learning Materials.

    ERIC Educational Resources Information Center

    Sambrook, Sally

    2001-01-01

    Online and paper instruments were used by 159 learners to evaluate 5 computer-based learning materials requiring information technology skills. Top factors influencing perceptions of quality were as follows: user friendliness, presentation, graphics, engagement, information, knowledge, understanding, level, learning mode, and language. (SK)

  14. The MORPG-Based Learning System for Multiple Courses: A Case Study on Computer Science Curriculum

    ERIC Educational Resources Information Center

    Liu, Kuo-Yu

    2015-01-01

    This study aimed at developing a Multiplayer Online Role Playing Game-based (MORPG) Learning system which enabled instructors to construct a game scenario and manage sharable and reusable learning content for multiple courses. It used the curriculum of "Introduction to Computer Science" as a study case to assess students' learning…

  15. Inventing Motivates and Prepares Student Teachers for Computer-Based Learning

    ERIC Educational Resources Information Center

    Glogger-Frey, I.; Kappich, J.; Schwonke, R.; Holzäpfel, L.; Nückles, M.; Renkl, A.

    2015-01-01

    A brief, problem-oriented phase such as an inventing activity is one potential instructional method for preparing learners not only cognitively but also motivationally for learning. Student teachers often need to overcome motivational barriers in order to use computer-based learning opportunities. In a preliminary experiment, we found that student…

  16. Computer-Based Learning: Interleaving Whole and Sectional Representation of Neuroanatomy

    ERIC Educational Resources Information Center

    Pani, John R.; Chariker, Julia H.; Naaz, Farah

    2013-01-01

    The large volume of material to be learned in biomedical disciplines requires optimizing the efficiency of instruction. In prior work with computer-based instruction of neuroanatomy, it was relatively efficient for learners to master whole anatomy and then transfer to learning sectional anatomy. It may, however, be more efficient to continuously…

  17. A Methodology for Integrating Computer-Based Learning Tools in Science Curricula

    ERIC Educational Resources Information Center

    Papadouris, Nicos; Constantinou, Constantinos P.

    2009-01-01

    This paper demonstrates a methodology for effectively integrating computer-based learning tools in science teaching and learning. This methodology provides a means of systematic analysis to identify the capabilities of particular software tools and to formulate a series of competencies relevant to physical science that could be developed by means…

  18. Argumentation-Based Computer Supported Collaborative Learning (ABCSCL): A Synthesis of 15 Years of Research

    ERIC Educational Resources Information Center

    Noroozi, Omid; Weinberger, Armin; Biemans, Harm J. A.; Mulder, Martin; Chizari, Mohammad

    2012-01-01

    Learning to argue is an essential objective in education; and online environments have been found to support the sharing, constructing, and representing of arguments in multiple formats for what has been termed Argumentation-Based Computer Supported Collaborative Learning (ABCSCL). The purpose of this review is to give an overview of research in…

  19. Learning Probabilities in Computer Engineering by Using a Competency- and Problem-Based Approach

    ERIC Educational Resources Information Center

    Khoumsi, Ahmed; Hadjou, Brahim

    2005-01-01

    Our department has redesigned its electrical and computer engineering programs by adopting a learning methodology based on competence development, problem solving, and the realization of design projects. In this article, we show how this pedagogical approach has been successfully used for learning probabilities and their application to computer…

  20. Assessing Medical Students' Self-Regulation as Aptitude in Computer-Based Learning

    ERIC Educational Resources Information Center

    Song, Hyuksoon S.; Kalet, Adina L.; Plass, Jan L.

    2011-01-01

    We developed a Self-Regulation Measure for Computer-based learning (SRMC) tailored toward medical students, by modifying Zimmerman's Self-Regulated Learning Interview Schedule (SRLIS) for K-12 learners. The SRMC's reliability and validity were examined in 2 studies. In Study 1, 109 first-year medical students were asked to complete the SRMC.…

  1. Exploring the Presentation and Format of Help in a Computer-Based Electrical Engineering Learning Environment

    ERIC Educational Resources Information Center

    Reisslein, Jana; Atkinson, Robert K.; Reisslein, Martin

    2004-01-01

    This study investigated whether it was more beneficial to provide the learners in computer-based learning environments access to on demand (self-regulated) help after they committed an error in problem solving or for the learning environment to externally regulate the presentation of instructional help. Furthermore, two different resentational…

  2. Learning with Computer-Based Multimedia: Gender Effects on Efficiency

    ERIC Educational Resources Information Center

    Pohnl, Sabine; Bogner, Franz X.

    2012-01-01

    Up to now, only a few studies in multimedia learning have focused on gender effects. While research has mostly focused on learning success, the effect of gender on instructional efficiency (IE) has not yet been considered. Consequently, we used a quasi-experimental design to examine possible gender differences in the learning success, mental…

  3. A Study of the Efficacy of Project-Based Learning Integrated with Computer-Based Simulation--STELLA

    ERIC Educational Resources Information Center

    Eskrootchi, Rogheyeh; Oskrochi, G. Reza

    2010-01-01

    Incorporating computer-simulation modelling into project-based learning may be effective but requires careful planning and implementation. Teachers, especially, need pedagogical content knowledge which refers to knowledge about how students learn from materials infused with technology. This study suggests that students learn best by actively…

  4. Development and Assessment of a Chemistry-Based Computer Video Game as a Learning Tool

    ERIC Educational Resources Information Center

    Martinez-Hernandez, Kermin Joel

    2010-01-01

    The chemistry-based computer video game is a multidisciplinary collaboration between chemistry and computer graphics and technology fields developed to explore the use of video games as a possible learning tool. This innovative approach aims to integrate elements of commercial video game and authentic chemistry context environments into a learning…

  5. The Effects of Visual Display on Analogies Using Computer-Based Learning.

    ERIC Educational Resources Information Center

    Lai, Shu-Ling

    1998-01-01

    Describes a study that investigated the effects of visual display within a college computer-based learning program that taught computer programming language through analogies. Three types of visual displays (text, static graphics, and animation) are compared, and assessment measures that included posttests and attitude questionnaires are…

  6. Strategies, Challenges and Prospects for Active Learning in the Computer-Based Classroom

    ERIC Educational Resources Information Center

    Holbert, K. E.; Karady, G. G.

    2009-01-01

    The introduction of computer-equipped classrooms into engineering education has brought with it a host of opportunities and issues. Herein, some of the challenges and successes for creating an environment for active learning within computer-based classrooms are described. The particular teaching approach developed for undergraduate electrical…

  7. Web-Based Learning in the Computer-Aided Design Curriculum.

    ERIC Educational Resources Information Center

    Sung, Wen-Tsai; Ou, S. C.

    2002-01-01

    Applies principles of constructivism and virtual reality (VR) to computer-aided design (CAD) curriculum, particularly engineering, by integrating network, VR and CAD technologies into a Web-based learning environment that expands traditional two-dimensional computer graphics into a three-dimensional real-time simulation that enhances user…

  8. Computer game-based and traditional learning method: a comparison regarding students’ knowledge retention

    PubMed Central

    2013-01-01

    Background Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes in the digital world over the last decades, students of the current generation expect technology to be used in advancing their learning requiring a need to change traditional passive learning methodologies to an active multisensory experimental learning methodology. The objective of this study was to compare a computer game-based learning method with a traditional learning method, regarding learning gains and knowledge retention, as means of teaching head and neck Anatomy and Physiology to Speech-Language and Hearing pathology undergraduate students. Methods Students were randomized to participate to one of the learning methods and the data analyst was blinded to which method of learning the students had received. Students’ prior knowledge (i.e. before undergoing the learning method), short-term knowledge retention and long-term knowledge retention (i.e. six months after undergoing the learning method) were assessed with a multiple choice questionnaire. Students’ performance was compared considering the three moments of assessment for both for the mean total score and for separated mean scores for Anatomy questions and for Physiology questions. Results Students that received the game-based method performed better in the pos-test assessment only when considering the Anatomy questions section. Students that received the traditional lecture performed better in both post-test and long-term post-test when considering the Anatomy and Physiology questions. Conclusions The game-based learning method is comparable to the traditional learning method in general and in short-term gains, while the traditional lecture still seems to be more effective to improve students’ short and long-term knowledge retention. PMID:23442203

  9. Learning about Computer-Based Education in Adult Basic Education.

    ERIC Educational Resources Information Center

    Fahy, Patrick J.

    In 1979 the adult basic education department at the Alberta Vocational Centre (AVC), Edmonton, began to use the Control Data PLATO system. Results of the first PLATO project showed students using PLATO learned at least as much as students in regular classes. Students learned faster and reported great satisfaction with PLATO experiences. Staff and…

  10. Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays

    PubMed Central

    Hiremath, Shivayogi V.; Chen, Weidong; Wang, Wei; Foldes, Stephen; Yang, Ying; Tyler-Kabara, Elizabeth C.; Collinger, Jennifer L.; Boninger, Michael L.

    2015-01-01

    A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in real time. A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively. We call this process BCI learning, and it often requires significant effort and time. Therefore, it is important to study this process and develop novel and efficient approaches to accelerate BCI learning. This article reviews major approaches that have been used for BCI learning, including computer-assisted learning, co-adaptive learning, operant conditioning, and sensory feedback. We focus on BCIs based on electrocorticography and intracortical microelectrode arrays for restoring motor function. This article also explores the possibility of brain modulation techniques in promoting BCI learning, such as electrical cortical stimulation, transcranial magnetic stimulation, and optogenetics. Furthermore, as proposed by recent BCI studies, we suggest that BCI learning is in many ways analogous to motor and cognitive skill learning, and therefore skill learning should be a useful metaphor to model BCI learning. PMID:26113812

  11. Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays.

    PubMed

    Hiremath, Shivayogi V; Chen, Weidong; Wang, Wei; Foldes, Stephen; Yang, Ying; Tyler-Kabara, Elizabeth C; Collinger, Jennifer L; Boninger, Michael L

    2015-01-01

    A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in real time. A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively. We call this process BCI learning, and it often requires significant effort and time. Therefore, it is important to study this process and develop novel and efficient approaches to accelerate BCI learning. This article reviews major approaches that have been used for BCI learning, including computer-assisted learning, co-adaptive learning, operant conditioning, and sensory feedback. We focus on BCIs based on electrocorticography and intracortical microelectrode arrays for restoring motor function. This article also explores the possibility of brain modulation techniques in promoting BCI learning, such as electrical cortical stimulation, transcranial magnetic stimulation, and optogenetics. Furthermore, as proposed by recent BCI studies, we suggest that BCI learning is in many ways analogous to motor and cognitive skill learning, and therefore skill learning should be a useful metaphor to model BCI learning.

  12. Feedback Effects in Computer-Based Skill Learning

    DTIC Science & Technology

    1989-09-12

    superiority vs.inferiority vis-a-vis others) affected students ’ learning . Here, evidence revealed that the type of feedback students received influenced how...evidence revealed that the type of feedback students received influenced how well they performed. It was suggested that the impact of intrapersonal...the characteristics of effective feedback may prove quite useful in improving instructional design. In situations where learning requires a long

  13. Computer-based learning--an aid to successful teaching of pharmacology?

    PubMed

    E Hughes, Ian

    2002-07-01

    Various types of software have been developed for use in pharmacology courses. These include: simple drill (question and answer) software; electronic books; video material; tutorial type programs; simulations; and electronic learning environments for course organisation and delivery. These different types of software can be used in different ways to achieve very different learning objectives and gains in teaching efficiency. For example, software can be used: in tutorial and small group teaching; in lectures; to better prepare students for practical work; as a replacement for practicals; to provide options within a limited course structure; to supplement lectures and enable students to work at their own pace; to provide ongoing access to self-assessment throughout a course; to aid distance learning; as remedial teaching and to extend the student learning experience in areas which are too expensive or too time consuming or for which staff expertise does not exist. Evidence indicates that it is insufficient simply to make computer based learning material available to students. Like a laboratory class, it must be fully integrated into a module if real benefits are to be obtained. Students need to be taught how to learn from computer-based learning materials and how to integrate this learning tool in their learning strategy. Teachers need to be supported not only with information about the availability of software but, equally importantly, about how it can be integrated into modules. We are all delivering teaching and facilitating learning in a changing environment and subject to a variety of increasing pressures. It may well be that computer based learning materials may help to maintain a high quality of pharmacology teaching within this changing environment but we need more pedagogical research at the discipline level to establish how this can best be done.

  14. A Multiple-Sessions Interactive Computer-Based Learning Tool for Ability Cultivation in Circuit Simulation

    ERIC Educational Resources Information Center

    Xu, Q.; Lai, L. L.; Tse, N. C. F.; Ichiyanagi, K.

    2011-01-01

    An interactive computer-based learning tool with multiple sessions is proposed in this paper, which teaches students to think and helps them recognize the merits and limitations of simulation tools so as to improve their practical abilities in electrical circuit simulation based on the case of a power converter with progressive problems. The…

  15. Individual Differences and Learning Performance in Computer-based Training

    DTIC Science & Technology

    2011-02-01

    battery of personality traits referred to as the Navy Computer Adaptive Personality Scales (NCAPS) because it’s 19 traits cover the characteristics that...Navy-developed battery of personality traits referred to as the Navy Computer Adaptive Personality Scales (NCAPS) because it covers the characteristics...context, “individual differences” will refer to measures of constructs that differentiate (or scale ) people relative to one another. vii

  16. A Practice of Mobile Learning Based on Cloud Computing

    ERIC Educational Resources Information Center

    Heng, Wu; Zhong, Dong

    2016-01-01

    Information and communication technology are well known rapid growing industry in this decade. That is nearly the same as fast as growth in costs in education. Therefore, many people have been forced to find alternative ways to meet their education needs. Innovations of distance education create a new way to provide learning content, unlimited…

  17. The impact of computer-based versus "traditional" textbook science instruction on selected student learning outcomes

    NASA Astrophysics Data System (ADS)

    Rothman, Alan H.

    This study reports the results of research designed to examine the impact of computer-based science instruction on elementary school level students' science content achievement, their attitude about science learning, their level of critical thinking-inquiry skills, and their level of cognitive and English language development. The study compared these learning outcomes resulting from a computer-based approach compared to the learning outcomes from a traditional, textbook-based approach to science instruction. The computer-based approach was inherent in a curriculum titled The Voyage of the Mimi , published by The Bank Street College Project in Science and Mathematics (1984). The study sample included 209 fifth-grade students enrolled in three schools in a suburban school district. This sample was divided into three groups, each receiving one of the following instructional treatments: (a) Mixed-instruction primarily based on the use of a hardcopy textbook in conjunction with computer-based instructional materials as one component of the science course; (b) Non-Traditional, Technology-Based -instruction fully utilizing computer-based material; and (c) Traditional, Textbook-Based-instruction utilizing only the textbook as the basis for instruction. Pre-test, or pre-treatment, data related to each of the student learning outcomes was collected at the beginning of the school year and post-test data was collected at the end of the school year. Statistical analyses of pre-test data were used as a covariate to account for possible pre-existing differences with regard to the variables examined among the three student groups. This study concluded that non-traditional, computer-based instruction in science significantly improved students' attitudes toward science learning and their level of English language development. Non-significant, positive trends were found for the following student learning outcomes: overall science achievement and development of critical thinking

  18. Computer-based learning: interleaving whole and sectional representation of neuroanatomy.

    PubMed

    Pani, John R; Chariker, Julia H; Naaz, Farah

    2013-01-01

    The large volume of material to be learned in biomedical disciplines requires optimizing the efficiency of instruction. In prior work with computer-based instruction of neuroanatomy, it was relatively efficient for learners to master whole anatomy and then transfer to learning sectional anatomy. It may, however, be more efficient to continuously integrate learning of whole and sectional anatomy. A study of computer-based learning of neuroanatomy was conducted to compare a basic transfer paradigm for learning whole and sectional neuroanatomy with a method in which the two forms of representation were interleaved (alternated). For all experimental groups, interactive computer programs supported an approach to instruction called adaptive exploration. Each learning trial consisted of time-limited exploration of neuroanatomy, self-timed testing, and graphical feedback. The primary result of this study was that interleaved learning of whole and sectional neuroanatomy was more efficient than the basic transfer method, without cost to long-term retention or generalization of knowledge to recognizing new images (Visible Human and MRI).

  19. Curricular Improvements through Computation and Experiment Based Learning Modules

    ERIC Educational Resources Information Center

    Khan, Fazeel; Singh, Kumar

    2015-01-01

    Engineers often need to predict how a part, mechanism or machine will perform in service, and this insight is typically achieved thorough computer simulations. Therefore, instruction in the creation and application of simulation models is essential for aspiring engineers. The purpose of this project was to develop a unified approach to teaching…

  20. Evaluating interactive computer-based scenarios designed for learning medical technology.

    PubMed

    Persson, Johanna; Dalholm, Elisabeth Hornyánszky; Wallergård, Mattias; Johansson, Gerd

    2014-11-01

    The use of medical equipment is growing in healthcare, resulting in an increased need for resources to educate users in how to manage the various devices. Learning the practical operation of a device is one thing, but learning how to work with the device in the actual clinical context is more challenging. This paper presents a computer-based simulation prototype for learning medical technology in the context of critical care. Properties from simulation and computer games have been adopted to create a visualization-based, interactive and contextually bound tool for learning. A participatory design process, including three researchers and three practitioners from a clinic for infectious diseases, was adopted to adjust the form and content of the prototype to the needs of the clinical practice and to create a situated learning experience. An evaluation with 18 practitioners showed that practitioners were positive to this type of tool for learning and that it served as a good platform for eliciting and sharing knowledge. Our conclusion is that this type of tools can be a complement to traditional learning resources to situate the learning in a context without requiring advanced technology or being resource-demanding.

  1. Applying Web-Based Co-Regulated Learning to Develop Students' Learning and Involvement in a Blended Computing Course

    ERIC Educational Resources Information Center

    Tsai, Chia-Wen

    2015-01-01

    This research investigated, via quasi-experiments, the effects of web-based co-regulated learning (CRL) on developing students' computing skills. Two classes of 68 undergraduates in a one-semester course titled "Applied Information Technology: Data Processing" were chosen for this research. The first class (CRL group, n = 38) received…

  2. Technology Support for Discussion Based Learning: From Computer Supported Collaborative Learning to the Future of Massive Open Online Courses

    ERIC Educational Resources Information Center

    Rosé, Carolyn Penstein; Ferschke, Oliver

    2016-01-01

    This article offers a vision for technology supported collaborative and discussion-based learning at scale. It begins with historical work in the area of tutorial dialogue systems. It traces the history of that area of the field of Artificial Intelligence in Education as it has made an impact on the field of Computer-Supported Collaborative…

  3. Improving the learning of clinical reasoning through computer-based cognitive representation

    PubMed Central

    Wu, Bian; Wang, Minhong; Johnson, Janice M.; Grotzer, Tina A.

    2014-01-01

    Objective Clinical reasoning is usually taught using a problem-solving approach, which is widely adopted in medical education. However, learning through problem solving is difficult as a result of the contextualization and dynamic aspects of actual problems. Moreover, knowledge acquired from problem-solving practice tends to be inert and fragmented. This study proposed a computer-based cognitive representation approach that externalizes and facilitates the complex processes in learning clinical reasoning. The approach is operationalized in a computer-based cognitive representation tool that involves argument mapping to externalize the problem-solving process and concept mapping to reveal the knowledge constructed from the problems. Methods Twenty-nine Year 3 or higher students from a medical school in east China participated in the study. Participants used the proposed approach implemented in an e-learning system to complete four learning cases in 4 weeks on an individual basis. For each case, students interacted with the problem to capture critical data, generate and justify hypotheses, make a diagnosis, recall relevant knowledge, and update their conceptual understanding of the problem domain. Meanwhile, students used the computer-based cognitive representation tool to articulate and represent the key elements and their interactions in the learning process. Results A significant improvement was found in students’ learning products from the beginning to the end of the study, consistent with students’ report of close-to-moderate progress in developing problem-solving and knowledge-construction abilities. No significant differences were found between the pretest and posttest scores with the 4-week period. The cognitive representation approach was found to provide more formative assessment. Conclusions The computer-based cognitive representation approach improved the learning of clinical reasoning in both problem solving and knowledge construction. PMID:25518871

  4. Changing how and what children learn in school with computer-based technologies.

    PubMed

    Roschelle, J M; Pea, R D; Hoadley, C M; Gordin, D N; Means, B M

    2000-01-01

    Schools today face ever-increasing demands in their attempts to ensure that students are well equipped to enter the workforce and navigate a complex world. Research indicates that computer technology can help support learning, and that it is especially useful in developing the higher-order skills of critical thinking, analysis, and scientific inquiry. But the mere presence of computers in the classroom does not ensure their effective use. Some computer applications have been shown to be more successful than others, and many factors influence how well even the most promising applications are implemented. This article explores the various ways computer technology can be used to improve how and what children learn in the classroom. Several examples of computer-based applications are highlighted to illustrate ways technology can enhance how children learn by supporting four fundamental characteristics of learning: (1) active engagement, (2) participation in groups, (3) frequent interaction and feedback, and (4) connections to real-world contexts. Additional examples illustrate ways technology can expand what children learn by helping them to understand core concepts in subjects like math, science, and literacy. Research indicates, however, that the use of technology as an effective learning tool is more likely to take place when embedded in a broader education reform movement that includes improvements in teacher training, curriculum, student assessment, and a school's capacity for change. To help inform decisions about the future role of computers in the classroom, the authors conclude that further research is needed to identify the uses that most effectively support learning and the conditions required for successful implementation.

  5. Spiral and Project-Based Learning with Peer Assessment in a Computer Science Project Management Course

    NASA Astrophysics Data System (ADS)

    Jaime, Arturo; Blanco, José Miguel; Domínguez, César; Sánchez, Ana; Heras, Jónathan; Usandizaga, Imanol

    2016-06-01

    Different learning methods such as project-based learning, spiral learning and peer assessment have been implemented in science disciplines with different outcomes. This paper presents a proposal for a project management course in the context of a computer science degree. Our proposal combines three well-known methods: project-based learning, spiral learning and peer assessment. Namely, the course is articulated during a semester through the structured (progressive and incremental) development of a sequence of four projects, whose duration, scope and difficulty of management increase as the student gains theoretical and instrumental knowledge related to planning, monitoring and controlling projects. Moreover, the proposal is complemented using peer assessment. The proposal has already been implemented and validated for the last 3 years in two different universities. In the first year, project-based learning and spiral learning methods were combined. Such a combination was also employed in the other 2 years; but additionally, students had the opportunity to assess projects developed by university partners and by students of the other university. A total of 154 students have participated in the study. We obtain a gain in the quality of the subsequently projects derived from the spiral project-based learning. Moreover, this gain is significantly bigger when peer assessment is introduced. In addition, high-performance students take advantage of peer assessment from the first moment, whereas the improvement in poor-performance students is delayed.

  6. sTeam--Providing Primary Media Functions for Web-Based Computer-Supported Cooperative Learning.

    ERIC Educational Resources Information Center

    Hampel, Thorsten

    The World Wide Web has developed as the de facto standard for computer based learning. However, as a server-centered approach, it confines readers and learners to passive nonsequential reading. Authoring and Web-publishing systems aim at supporting the authors' design process. Consequently, learners' activities are confined to selecting and…

  7. Effects of Computer Based Learning on Students' Attitudes and Achievements towards Analytical Chemistry

    ERIC Educational Resources Information Center

    Akcay, Hüsamettin; Durmaz, Asli; Tüysüz, Cengiz; Feyzioglu, Burak

    2006-01-01

    The aim of this study was to compare the effects of computer-based learning and traditional method on students' attitudes and achievement towards analytical chemistry. Students from Chemistry Education Department at Dokuz Eylul University (D.E.U) were selected randomly and divided into three groups; two experimental (Eg-1 and Eg-2) and a control…

  8. Supporting Student Learning: The Use of Computer-Based Formative Assessment Modules.

    ERIC Educational Resources Information Center

    Peat, Mary; Franklin, Sue

    2002-01-01

    Describes the development of a variety of computer-based assessment opportunities, both formative and summative, that are available to a large first-year biology class at the University of Sydney (Australia). Discusses online access to weekly quizzes, a mock exam, and special self-assessment modules that are beneficial to student learning.…

  9. The Learning Disabled and Computer Based Education: Program Design Strategies. CREATE Monograph Series.

    ERIC Educational Resources Information Center

    Rubin, David; And Others

    Third in a series of six monographs on the use of new technologies in the instruction of learning disabled students, the paper explores program design strategies for computer-based instructional materials. Section 1 summarizes ideas related to models of perception and cognition, theories of instruction, and key characteristics of intelligent…

  10. Net Gain? The Integration of Computer-Based Learning in Six NSW Government Schools, 2000.

    ERIC Educational Resources Information Center

    Hayes, Debra; Schuck, Sandy; Segal, Gilda; Dwyer, Joanne; McEwen, Celina

    This study examined the impact on learning of the integration of computer-based technology (CBT). The study focused on six New South Wales (Australia) government schools that were at different stages of development of the integration of CBT. Data were gathered through classroom observations and structured interviews with key personnel, students,…

  11. Listening Strategy Use and Influential Factors in Web-Based Computer Assisted Language Learning

    ERIC Educational Resources Information Center

    Chen, L.; Zhang, R.; Liu, C.

    2014-01-01

    This study investigates second and foreign language (L2) learners' listening strategy use and factors that influence their strategy use in a Web-based computer assisted language learning (CALL) system. A strategy inventory, a factor questionnaire and a standardized listening test were used to collect data from a group of 82 Chinese students…

  12. The Use of Computer-Based Simulation to Aid Comprehension and Incidental Vocabulary Learning

    ERIC Educational Resources Information Center

    Mohsen, Mohammed Ali

    2016-01-01

    One of the main issues in language learning is to find ways to enable learners to interact with the language input in an involved task. Given that computer-based simulation allows learners to interact with visual modes, this article examines how the interaction of students with an online video simulation affects their second language video…

  13. Attention Paid to Feedback Provided by a Computer-Based Assessment for Learning on Information Literacy

    ERIC Educational Resources Information Center

    Timmers, Caroline; Veldkamp, Bernard

    2011-01-01

    Three studies are presented on attention paid to feedback provided by a computer-based assessment for learning on information literacy. Results show that the attention paid to feedback varies greatly. In general the attention focuses on feedback of incorrectly answered questions. In each study approximately fifty percent of the respondents paid…

  14. Development of a Computer-Based Visualised Quantitative Learning System for Playing Violin Vibrato

    ERIC Educational Resources Information Center

    Ho, Tracy Kwei-Liang; Lin, Huann-shyang; Chen, Ching-Kong; Tsai, Jih-Long

    2015-01-01

    Traditional methods of teaching music are largely subjective, with the lack of objectivity being particularly challenging for violin students learning vibrato because of the existence of conflicting theories. By using a computer-based analysis method, this study found that maintaining temporal coincidence between the intensity peak and the target…

  15. Effects of Multidimensional Concept Maps on Fourth Graders' Learning in Web-Based Computer Course

    ERIC Educational Resources Information Center

    Huang, Hwa-Shan; Chiou, Chei-Chang; Chiang, Heien-Kun; Lai, Sung-Hsi; Huang, Chiun-Yen; Chou, Yin-Yu

    2012-01-01

    This study explores the effect of multidimensional concept mapping instruction on students' learning performance in a web-based computer course. The subjects consisted of 103 fourth graders from an elementary school in central Taiwan. They were divided into three groups: multidimensional concept map (MCM) instruction group, Novak concept map (NCM)…

  16. Comparative Effects of Computer-Based Concept Maps, Refutational Texts, and Expository Texts on Science Learning

    ERIC Educational Resources Information Center

    Adesope, Olusola O.; Cavagnetto, Andy; Hunsu, Nathaniel J.; Anguiano, Carlos; Lloyd, Joshua

    2017-01-01

    This study used a between-subjects experimental design to examine the effects of three different computer-based instructional strategies (concept map, refutation text, and expository scientific text) on science learning. Concept maps are node-link diagrams that show concepts as nodes and relationships among the concepts as labeled links.…

  17. Cognitive Support for Learning Computer-Based Tasks Using Animated Demonstration

    ERIC Educational Resources Information Center

    Chen, Chun-Ying

    2016-01-01

    This study investigated the influence of cognitive support for learning computer-based tasks using animated demonstration (AD) on instructional efficiency. Cognitive support included (1) segmentation and learner control introducing interactive devices that allow content sequencing through a navigational menu, and content pacing through stop and…

  18. Enhancing Learning Outcomes in Computer-Based Training via Self-Generated Elaboration

    ERIC Educational Resources Information Center

    Cuevas, Haydee M.; Fiore, Stephen M.

    2014-01-01

    The present study investigated the utility of an instructional strategy known as the "query method" for enhancing learning outcomes in computer-based training. The query method involves an embedded guided, sentence generation task requiring elaboration of key concepts in the training material that encourages learners to "stop and…

  19. Evaluation of Computer Based Foreign Language Learning Software by Teachers and Students

    ERIC Educational Resources Information Center

    Baz, Fatih Çagatay; Tekdal, Mehmet

    2014-01-01

    The aim of this study is to evaluate Computer Based Foreign Language Learning software called Dynamic Education (DYNED) by teachers and students. The study is conducted with randomly chosen ten primary schools with the participants of 522 7th grade students and 7 English teachers. Three points Likert scale for teachers and five points Likert scale…

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

    ERIC Educational Resources Information Center

    McGowan, Ian S.

    2016-01-01

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

  1. Formative Computer-Based Assessment in Higher Education: The Effectiveness of Feedback in Supporting Student Learning

    ERIC Educational Resources Information Center

    Miller, Tess

    2009-01-01

    A formative computer-based assessment (CBA) was one of three instruments used for assessment in a Bachelor of Education course at Queen's University (Ontario, Canada) with an enrolment of approximately 700 students. The formative framework fostered a self-regulated learning environment whereby feedback on the CBA was used to support rather than…

  2. Creating a Supportive Environment to Enhance Computer Based Learning for Underrepresented Minorities in College Algebra Classrooms

    ERIC Educational Resources Information Center

    Kendricks, Kimberly D.

    2011-01-01

    Significant research in K-12 education has shown that computer based learning in mathematics positively impacts students' attitudes toward mathematics and greatly increases academic performance. Little research has shown, however, how this success can be replicated in a postsecondary classroom for minority students. This paper is a case study that…

  3. Knowledge Cultures and the Shaping of Work-Based Learning: The Case of Computer Engineering

    ERIC Educational Resources Information Center

    Nerland, Monika

    2008-01-01

    This paper examines how the knowledge culture of computer engineering--that is, the ways in which knowledge is produced, distributed, accumulated and collectively approached within this profession--serve to construct work-based learning in specific ways. Typically, the epistemic infrastructures take the form of information structures with a global…

  4. The Effects of Integrating Computer-Based Concept Mapping for Physics Learning in Junior High School

    ERIC Educational Resources Information Center

    Chang, Cheng-Chieh; Yeh, Ting-Kuang; Shih, Chang-Ming

    2016-01-01

    It generally is accepted that concept mapping has a noticeable impact on learning. But literatures show the use of concept mapping is not benefit all learners. The present study explored the effects of incorporating computer-based concept mapping in physics instruction. A total of 61 9th-grade students participated in this study. By using a…

  5. A Computer-Based Spatial Learning Strategy Approach That Improves Reading Comprehension and Writing

    ERIC Educational Resources Information Center

    Ponce, Hector R.; Mayer, Richard E.; Lopez, Mario J.

    2013-01-01

    This article explores the effectiveness of a computer-based spatial learning strategy approach for improving reading comprehension and writing. In reading comprehension, students received scaffolded practice in translating passages into graphic organizers. In writing, students received scaffolded practice in planning to write by filling in graphic…

  6. Factors Affecting Learning of Vector Math from Computer-Based Practice: Feedback Complexity and Prior Knowledge

    ERIC Educational Resources Information Center

    Heckler, Andrew F.; Mikula, Brendon D.

    2016-01-01

    In experiments including over 450 university-level students, we studied the effectiveness and time efficiency of several levels of feedback complexity in simple, computer-based training utilizing static question sequences. The learning domain was simple vector math, an essential skill in introductory physics. In a unique full factorial design, we…

  7. Tool Use of Experienced Learners in Computer-Based Learning Environments: Can Tools Be Beneficial?

    ERIC Educational Resources Information Center

    Juarez Collazo, Norma A.; Corradi, David; Elen, Jan; Clarebout, Geraldine

    2014-01-01

    Research has documented the use of tools in computer-based learning environments as problematic, that is, learners do not use the tools and when they do, they tend to do it suboptimally. This study attempts to disentangle cause and effect of this suboptimal tool use for experienced learners. More specifically, learner variables (metacognitive and…

  8. Analyses of Receptive and Productive Korean EFL Vocabulary: Computer-Based Vocabulary Learning Program

    ERIC Educational Resources Information Center

    Kim, Scott Sungki

    2013-01-01

    The present research study investigated the effects of 8 versions of a computer-based vocabulary learning program on receptive and productive knowledge levels of college students. The participants were 106 male and 103 female Korean EFL students from Kyungsung University and Kwandong University in Korea. Students who participated in versions of…

  9. A Framework for the Contextual Analysis of Computer-Based Learning Environments. Technical Report No. 527.

    ERIC Educational Resources Information Center

    Jacobson, Michael J.; Spiro, Rand J.

    Addressing the need for a framework to distinguish the conditions under which different types of educational computing environments are productive, this paper proposes a cognitively based Contextual Analysis Framework consisting of two primary elements: (1) conceptual characteristics of the knowledge domain being learned, including the complexity…

  10. Learning Mathematics by Designing, Programming, and Investigating with Interactive, Dynamic Computer-Based Objects

    ERIC Educational Resources Information Center

    Marshall, Neil; Buteau, Chantal

    2014-01-01

    As part of their undergraduate mathematics curriculum, students at Brock University learn to create and use computer-based tools with dynamic, visual interfaces, called Exploratory Objects, developed for the purpose of conducting pure or applied mathematical investigations. A student's Development Process Model of creating and using an Exploratory…

  11. The Implications of Cognitive Psychology for Computer-Based Learning Tools.

    ERIC Educational Resources Information Center

    Kozma, Robert B.

    1987-01-01

    Defines cognitive computer tools as software programs that use the control capabilities of computers to amplify, extend, or enhance human cognition; suggests seven ways in which computers can aid learning; and describes the "Learning Tool," a software package for the Apple Macintosh microcomputer that is designed to aid learning of…

  12. The Effects of Inquiry-Based Computer Simulation with Cooperative Learning on Scientific Thinking and Conceptual Understanding of Gas Laws

    ERIC Educational Resources Information Center

    Abdullah, Sopiah; Shariff, Adilah

    2008-01-01

    The purpose of the study was to investigate the effects of inquiry-based computer simulation with heterogeneous-ability cooperative learning (HACL) and inquiry-based computer simulation with friendship cooperative learning (FCL) on (a) scientific reasoning (SR) and (b) conceptual understanding (CU) among Form Four students in Malaysian Smart…

  13. Evaluation of E-Rat, a Computer-based Rat Dissection in Terms of Student Learning Outcomes.

    ERIC Educational Resources Information Center

    Predavec, Martin

    2001-01-01

    Presents a study that used computer-based rat anatomy to compare student learning outcomes from computer-based instruction with a conventional dissection. Indicates that there was a significant relationship between the time spent on both classes and the marks gained. Shows that computer-based instruction can be a viable alternative to the use of…

  14. Learning Residential Electrical Wiring through Computer Simulation: The Impact of Computer-Based Learning Environments on Student Achievement and Cognitive Load

    ERIC Educational Resources Information Center

    Liu, Han-Chin; Su, I-Hsien

    2011-01-01

    Multimedia learning environments such as computer simulations are widely accepted as tools for supporting science learning. Although the design of multimedia learning environments can be domain specific, few studies have focused on the use of computer simulations for learning residential electrical wiring. This study aimed to determine whether…

  15. The Facilitation of Problem-Based Learning in Medical Education Through a Computer-Mediated Tutorial Laboratory

    PubMed Central

    Myers, A.; Barrows, H.S.; Koschmann, T.D.; Feltovich, P.J.

    1990-01-01

    This paper describes the means by which a computer-supported group interaction system known as the Computer-Mediated Tutorial Laboratory (CMTL) is used to support Problem-Based Learning Tutorials. The Problem-Based Learning Tutorial process has traditionally been solely a group process, sharing both the advantages and the disadvantages of any group process. This paper discusses the nature of Problem-Based Learning, the logistics of integrating computer mediation with the tutorial process and how computer mediation can be used to facilitate the eliciting and recording of individual input while enhancing the powerful effects of the group process.

  16. Sentence-Based Attentional Mechanisms in Word Learning: Evidence from a Computational Model

    PubMed Central

    Alishahi, Afra; Fazly, Afsaneh; Koehne, Judith; Crocker, Matthew W.

    2012-01-01

    When looking for the referents of novel nouns, adults and young children are sensitive to cross-situational statistics (Yu and Smith, 2007; Smith and Yu, 2008). In addition, the linguistic context that a word appears in has been shown to act as a powerful attention mechanism for guiding sentence processing and word learning (Landau and Gleitman, 1985; Altmann and Kamide, 1999; Kako and Trueswell, 2000). Koehne and Crocker (2010, 2011) investigate the interaction between cross-situational evidence and guidance from the sentential context in an adult language learning scenario. Their studies reveal that these learning mechanisms interact in a complex manner: they can be used in a complementary way when context helps reduce referential uncertainty; they influence word learning about equally strongly when cross-situational and contextual evidence are in conflict; and contextual cues block aspects of cross-situational learning when both mechanisms are independently applicable. To address this complex pattern of findings, we present a probabilistic computational model of word learning which extends a previous cross-situational model (Fazly et al., 2010) with an attention mechanism based on sentential cues. Our model uses a framework that seamlessly combines the two sources of evidence in order to study their emerging pattern of interaction during the process of word learning. Simulations of the experiments of (Koehne and Crocker, 2010, 2011) reveal an overall pattern of results that are in line with their findings. Importantly, we demonstrate that our model does not need to explicitly assign priority to either source of evidence in order to produce these results: learning patterns emerge as a result of a probabilistic interaction between the two clue types. Moreover, using a computational model allows us to examine the developmental trajectory of the differential roles of cross-situational and sentential cues in word learning. PMID:22783211

  17. Metacognitive Load--Useful, or Extraneous Concept? Metacognitive and Self-Regulatory Demands in Computer-Based Learning

    ERIC Educational Resources Information Center

    Schwonke, Rolf

    2015-01-01

    Instructional design theories such as the "cognitive load theory" (CLT) or the "cognitive theory of multimedia learning" (CTML) explain learning difficulties in (computer-based) learning usually as a result of design deficiencies that hinder effective schema construction. However, learners often struggle even in well-designed…

  18. Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing

    ERIC Educational Resources Information Center

    Zadahmad, Manouchehr; Yousefzadehfard, Parisa

    2016-01-01

    Mobile Cloud Computing (MCC) aims to improve all mobile applications such as m-learning systems. This study presents an innovative method to use web technology and software engineering's best practices to provide m-learning functionalities hosted in a MCC-learning system as service. Components hosted by MCC are used to empower developers to create…

  19. Learning Vocabulary in a Foreign Language: A Computer Software Based Model Attempt

    ERIC Educational Resources Information Center

    Yelbay Yilmaz, Yasemin

    2015-01-01

    This study aimed at devising a vocabulary learning software that would help learners learn and retain vocabulary items effectively. Foundation linguistics and learning theories have been adapted to the foreign language vocabulary learning context using a computer software named Parole that was designed exclusively for this study. Experimental…

  20. Development and assessment of a chemistry-based computer video game as a learning tool

    NASA Astrophysics Data System (ADS)

    Martinez-Hernandez, Kermin Joel

    The chemistry-based computer video game is a multidisciplinary collaboration between chemistry and computer graphics and technology fields developed to explore the use of video games as a possible learning tool. This innovative approach aims to integrate elements of commercial video game and authentic chemistry context environments into a learning experience through gameplay. The project consists of three areas: development, assessment, and implementation. However, the foci of this study were the development and assessment of the computer video game including possible learning outcomes and game design elements. A chemistry-based game using a mixed genre of a single player first-person game embedded with action-adventure and puzzle components was developed to determine if students' level of understanding of chemistry concepts change after gameplay intervention. Three phases have been completed to assess students' understanding of chemistry concepts prior and after gameplay intervention. Two main assessment instruments (pre/post open-ended content survey and individual semi-structured interviews) were used to assess student understanding of concepts. In addition, game design elements were evaluated for future development phases. Preliminary analyses of the interview data suggest that students were able to understand most of the chemistry challenges presented in the game and the game served as a review for previously learned concepts as well as a way to apply such previous knowledge. To guarantee a better understanding of the chemistry concepts, additions such as debriefing and feedback about the content presented in the game seem to be needed. The use of visuals in the game to represent chemical processes, game genre, and game idea appear to be the game design elements that students like the most about the current computer video game.

  1. Computers and Early Learning.

    ERIC Educational Resources Information Center

    Banet, Bernard

    1978-01-01

    This paper discusses the effect that microelectronic technology will have on elementary education in the decades ahead, and some of the uses of computers as learning aids for young children, including interactive games, tutorial systems, creative activity, and simulation. (MP)

  2. Learning about Earth and Space through computer-based argumentative activities

    NASA Astrophysics Data System (ADS)

    Frede, Valerie; Frappart, Soren; Tartas, Valerie

    Learning about the Earth and Space is a difficult task that requires a change in frame of reference. We observe indeed various misconceptions about several concepts related to the Space sciences in the literature like for instance the idea that gravity can't exist out of the Earth (if somebody drops a ball on the moon, the ball floats) or that force is needed to keep an object in orbit. We are interested in looking for strategies to help learners overcome those misconceptions. We will present a tool based on argumentation and discussion with peers that seem to us relevant to favour conceptual change in science in general. We have tested this computer-based collaborative learning approach, relying on both argumentation and inquiry (here a visit of a space museum) with elementary school children (grade 5). More precisely, children were working in a collaborative way through computers using software (DIGALO) that gave them the possibility to co-construct argumentative maps. We will present the software and examples of such maps when children had to debate about seasons. We have followed both the quantitative and qualitative understanding changes of some groups of children through a pre and post-test questionnaire and the argumentative maps analyses. We observed that this computerbased collaborative way of learning helped children share their knowledge, confront their ideas, move them to justify or prove their claims and thus increase their level of understanding. We are working now on the implementation of this method for high school students for space concepts related to gravity, orbits and spacecraft where misconceptions are important. We show how we plan to implement such computer-based argumentative activities in a learning sequence in class in order to facilitate knowledge acquisition and scientific reasoning (through debates, argumentation, proof. . . ) about Earth and Space.

  3. Effect Sizes Associated with Micro-PROLOG-Based Computer-Assisted Learning.

    ERIC Educational Resources Information Center

    Fraser, Barry J.; Teh, George P. L.

    1994-01-01

    Discussion of effect sizes in computer-assisted learning research focuses on a study conducted in Singapore high school geography classes that used micro-PROLOG to determine the efficacy of computer-assisted learning. Topics include impact on achievement, student attitudes, and classroom environment. (53 references) (LRW)

  4. The right mix to support electronic medical record training: classroom computer-based training and blended learning.

    PubMed

    McCain, Christina L

    2008-01-01

    Staff development plays a crucial role in supporting clinicians to adapt to the ever changing technological advances in the healthcare setting. The quest to support staff in the implementation and ongoing optimization of an electronic medical record (EMR) led these staff development educators to computer based training and a blended learning approach building upon the traditional anchor of classroom learning and the advantages of computer-based training.

  5. Aids to Computer-Based Multimedia Learning: A Comparison of Human Tutoring and Computer Support

    ERIC Educational Resources Information Center

    Rodicio, H. Garcia; Sanchez, E.

    2012-01-01

    Learners are usually provided with support devices because they find it difficult to learn from multimedia presentations. A key question, with no clear answer so far, is how best to present these support devices. One possibility is to insert them into the multimedia presentation (canned support), while another is to have a human agent provide them…

  6. Design and Development of a Sample "Computer Programming" Course Tool via Story-Based E-Learning Approach

    ERIC Educational Resources Information Center

    Kose, Utku; Koc, Durmus; Yucesoy, Suleyman Anil

    2013-01-01

    This study introduces a story-based e-learning oriented course tool that was designed and developed for using within "computer programming" courses. With this tool, students can easily adapt themselves to the subjects in the context of computer programming principles, thanks to the story-based, interactive processes. By using visually…

  7. Self-Regulation of Learning with Computer-Based Learning Environments

    ERIC Educational Resources Information Center

    Greene, Jeffrey A.; Moos, Daniel C.; Azevedo, Roger

    2011-01-01

    Self-regulated learning (SRL) skills are enacted dynamically over the course of learning tasks, and the frequency and quality of their use can fluctuate dramatically. Further, students' SRL skills can vary from one academic domain to another and even from one task to another within a single domain. Thus, while SRL skills are essential for…

  8. Supervised learning with decision tree-based methods in computational and systems biology.

    PubMed

    Geurts, Pierre; Irrthum, Alexandre; Wehenkel, Louis

    2009-12-01

    At the intersection between artificial intelligence and statistics, supervised learning allows algorithms to automatically build predictive models from just observations of a system. During the last twenty years, supervised learning has been a tool of choice to analyze the always increasing and complexifying data generated in the context of molecular biology, with successful applications in genome annotation, function prediction, or biomarker discovery. Among supervised learning methods, decision tree-based methods stand out as non parametric methods that have the unique feature of combining interpretability, efficiency, and, when used in ensembles of trees, excellent accuracy. The goal of this paper is to provide an accessible and comprehensive introduction to this class of methods. The first part of the review is devoted to an intuitive but complete description of decision tree-based methods and a discussion of their strengths and limitations with respect to other supervised learning methods. The second part of the review provides a survey of their applications in the context of computational and systems biology.

  9. Paper-Based Aids for Learning with a Computer-Based Game

    ERIC Educational Resources Information Center

    Fiorella, Logan; Mayer, Richard E.

    2012-01-01

    The purpose of this study was to test the instructional value of adding paper-based metacognitive prompting features to a gamelike environment for learning about electrical circuits, called the Circuit Game. In Experiment 1, students who were prompted during Levels 1 through 9 to direct their attention to the most relevant features of the game and…

  10. Assessing medical students' self-regulation as aptitude in computer-based learning.

    PubMed

    Song, Hyuksoon S; Kalet, Adina L; Plass, Jan L

    2011-03-01

    We developed a Self-Regulation Measure for Computer-based learning (SRMC) tailored toward medical students, by modifying Zimmerman's Self-Regulated Learning Interview Schedule (SRLIS) for K-12 learners. The SRMC's reliability and validity were examined in 2 studies. In Study 1, 109 first-year medical students were asked to complete the SRMC. Bivariate correlation analysis results indicated that the SRMC scores had a moderate degree of correlation with student achievement in a teacher-developed test. In Study 2, 58 third-year clerkship students completed the SRMC. Regression analysis results indicated that the frequency of medical students' usage of self-regulation strategies was associated with their general clinical knowledge measured by a nationally standardized licensing exam. These two studies provided evidence for the reliability and concurrent validity of the SRMC to assess medical students' self-regulation as aptitude. Future work should provide evidence to guide and improve instructional design as well as inform educational policy.

  11. Integrating On Campus Problem Based Learning and Practice Based Learning: Issues and Challenges in Using Computer Mediated Communication.

    ERIC Educational Resources Information Center

    Conway, J.; Sharkey, R.

    2002-01-01

    A study involving 180 Australian nursing students and 41 clinical mentors evaluated a flexible delivery system rotating clinical practice with classroom/online courses involving problem-based learning. There was evidence of increased self-confidence, self-direction, and goal setting. Faculty, students, and mentors had concerns about assessment and…

  12. Machine-learning-based coadaptive calibration for brain-computer interfaces.

    PubMed

    Vidaurre, Carmen; Sannelli, Claudia; Müller, Klaus-Robert; Blankertz, Benjamin

    2011-03-01

    Brain-computer interfaces (BCIs) allow users to control a computer application by brain activity as acquired (e.g., by EEG). In our classic machine learning approach to BCIs, the participants undertake a calibration measurement without feedback to acquire data to train the BCI system. After the training, the user can control a BCI and improve the operation through some type of feedback. However, not all BCI users are able to perform sufficiently well during feedback operation. In fact, a nonnegligible portion of participants (estimated 15%-30%) cannot control the system (a BCI illiteracy problem, generic to all motor-imagery-based BCIs). We hypothesize that one main difficulty for a BCI user is the transition from offline calibration to online feedback. In this work, we investigate adaptive machine learning methods to eliminate offline calibration and analyze the performance of 11 volunteers in a BCI based on the modulation of sensorimotor rhythms. We present an adaptation scheme that individually guides the user. It starts with a subject-independent classifier that evolves to a subject-optimized state-of-the-art classifier within one session while the user interacts continuously. These initial runs use supervised techniques for robust coadaptive learning of user and machine. Subsequent runs use unsupervised adaptation to track the features' drift during the session and provide an unbiased measure of BCI performance. Using this approach, without any offline calibration, six users, including one novice, obtained good performance after 3 to 6 minutes of adaptation. More important, this novel guided learning also allows participants with BCI illiteracy to gain significant control with the BCI in less than 60 minutes. In addition, one volunteer without sensorimotor idle rhythm peak at the beginning of the BCI experiment developed it during the course of the session and used voluntary modulation of its amplitude to control the feedback application.

  13. Applying Activity Theory to Computer-Supported Collaborative Learning and Work-Based Activities in Corporate Settings

    ERIC Educational Resources Information Center

    Collis, Betty; Margaryan, Anoush

    2004-01-01

    Business needs in many corporations call for learning outcomes that involve problem solutions, and creating and sharing new knowledge within workplace situations that may involve collaboration among members of a team. We argue that work-based activities (WBA) and computer-supported collaborative learning (CSCL) are appropriate components for…

  14. Evaluating Students' Perceptions and Attitudes toward Computer-Mediated Project-Based Learning Environment: A Case Study

    ERIC Educational Resources Information Center

    Seet, Ling Ying Britta; Quek, Choon Lang

    2010-01-01

    This research investigated 68 secondary school students' perceptions of their computer-mediated project-based learning environment and their attitudes towards Project Work (PW) using two instruments--Project Work Classroom Learning Environment Questionnaire (PWCLEQ) and Project Work Related Attitudes Instrument (PWRAI). In this project-based…

  15. MedEthEx Online: A Computer-based Learning Program in Medical Ethics and Communication Skills.

    ERIC Educational Resources Information Center

    Fleetwood, Janet; Vaught, Wayne; Feldman, Debra; Gracely, Edward; Kassutto, Zach; Novack, Dennis

    2000-01-01

    Assessed MedEthEx Online, a computer-based learning program, in improving communication skills as part of a required bioethics course for medical students. Exam scores of users were comparable with non-users, although computerized-learning students scored higher in specific exam areas, felt somewhat more clinically prepared, and rated the course…

  16. The Goal Specificity Effect on Strategy Use and Instructional Efficiency during Computer-Based Scientific Discovery Learning

    ERIC Educational Resources Information Center

    Kunsting, Josef; Wirth, Joachim; Paas, Fred

    2011-01-01

    Using a computer-based scientific discovery learning environment on buoyancy in fluids we investigated the "effects of goal specificity" (nonspecific goals vs. specific goals) for two goal types (problem solving goals vs. learning goals) on "strategy use" and "instructional efficiency". Our empirical findings close an important research gap,…

  17. Population-based learning of load balancing policies for a distributed computer system

    NASA Technical Reports Server (NTRS)

    Mehra, Pankaj; Wah, Benjamin W.

    1993-01-01

    Effective load-balancing policies use dynamic resource information to schedule tasks in a distributed computer system. We present a novel method for automatically learning such policies. At each site in our system, we use a comparator neural network to predict the relative speedup of an incoming task using only the resource-utilization patterns obtained prior to the task's arrival. Outputs of these comparator networks are broadcast periodically over the distributed system, and the resource schedulers at each site use these values to determine the best site for executing an incoming task. The delays incurred in propagating workload information and tasks from one site to another, as well as the dynamic and unpredictable nature of workloads in multiprogrammed multiprocessors, may cause the workload pattern at the time of execution to differ from patterns prevailing at the times of load-index computation and decision making. Our load-balancing policy accommodates this uncertainty by using certain tunable parameters. We present a population-based machine-learning algorithm that adjusts these parameters in order to achieve high average speedups with respect to local execution. Our results show that our load-balancing policy, when combined with the comparator neural network for workload characterization, is effective in exploiting idle resources in a distributed computer system.

  18. An Investigation into Students Use of a Computer-Based Social Learning Space: Lessons for Facilitating Collaborative Approaches to Learning

    ERIC Educational Resources Information Center

    Brett, Paul; Nagra, Jas

    2005-01-01

    Provision of computers in universities for self-study is taken for granted and is seen as a must have educational resource, yet it is very expensive to fund. Students report that they use the Internet as their first stop in approaching research tasks. Learning theorists posit the important role of social interaction in contributing to learning.…

  19. Enhancing computing skills of low-achieving students via e-learning: a design experiment of Web-based, problem-based learning and self-regulated learning.

    PubMed

    Lee, Tsang-Hsiung; Shen, Pei-Di; Tsai, Chia-Wen

    2008-08-01

    A design experiment was conducted applying Web-based problem-based learning (PBL), self-regulated learning (SRL), or their combination to help low-achieving students improve their skills of deploying application software in a compulsory course at a vocational school in Taiwan. The effects were encouraging and mostly positive. However, students' inertia to change routines of learning inherited from a culture of taking standard tests found in e-learning practice is quite common. A teacher's awareness of these changes and associated resistance may increase likelihood of e-learning success for future trials. Some modifications of the design are thus suggested for the next round of the experiment.

  20. Developing an Efficient Computational Method that Estimates the Ability of Students in a Web-Based Learning Environment

    ERIC Educational Resources Information Center

    Lee, Young-Jin

    2012-01-01

    This paper presents a computational method that can efficiently estimate the ability of students from the log files of a Web-based learning environment capturing their problem solving processes. The computational method developed in this study approximates the posterior distribution of the student's ability obtained from the conventional Bayes…

  1. The Structure of the Help-Seeking Process in Collaboratively Using a Computer Coach in Problem-Based Learning

    ERIC Educational Resources Information Center

    Mercier, Julien; Frederiksen, Carl

    2008-01-01

    Research on help seeking with a computer coach providing on-demand help has not produced fully adequate models of the process from a cognitive perspective. The present study postulates a model of help seeking from a cognitive perspective and tests this model in a learning situation characterized as problem-based and computer-supported. The…

  2. The effects of computer-supported inquiry-based learning methods and peer interaction on learning stellar parallax

    NASA Astrophysics Data System (ADS)

    Ruzhitskaya, Lanika

    The presented research study investigated the effects of computer-supported inquiry-based learning and peer interaction methods on effectiveness of learning a scientific concept. The stellar parallax concept was selected as a basic, and yet important in astronomy, scientific construct, which is based on a straightforward relationship of several components presented in a simple mathematical equation: d = 1/p. The simplicity of the concept allowed the researchers to explore how the learners construct their conceptual knowledge, build mathematical skills and transfer their knowledge beyond the learning settings. A computer-based tutorial Stellar Parallax Interactive Restricted and Unrestricted Tutorial (SPIRUT) was developed for this study, and was designed to aid students' knowledge construction of the concept either in a learner-controlled or a program-controlled mode. The first investigated method in the study was enhancing engagement by the means of scaffolding for inquiry, which included scripted prompts and called for students' predictions and reflections while working in the learner-controlled or the computer-controlled version of SPIRUT. A second form of enhancing engagement was through peers working cooperatively during the learning activities. The students' level of understanding of the concept was measured by (1) the number of correct answers on a conceptual test with (2) several questions that require knowledge transfer to unfamiliar situations and (3) their ability to calculate the stellar parallax and find distances to stars. The study was conducted in the University of Missouri among 199 non-science major students enrolled in an introductory astronomy course in the fall semester 2010. The participants were divided into two main groups: one was working with SPIRUT and another group was a control group and utilized a paper-based tutorial. The SPIRUT group was further divided into the learner-controlled and the program-controlled subgroups. Students

  3. The Effectiveness of Self-Regulated Learning Scaffolds on Academic Performance in Computer-Based Learning Environments: A Meta-Analysis

    ERIC Educational Resources Information Center

    Zheng, Lanqin

    2016-01-01

    This meta-analysis examined research on the effects of self-regulated learning scaffolds on academic performance in computer-based learning environments from 2004 to 2015. A total of 29 articles met inclusion criteria and were included in the final analysis with a total sample size of 2,648 students. Moderator analyses were performed using a…

  4. Prompting Self-Monitoring of Learning in Self-Paced Computer Based Training: the Effect on Self-Regulation and Learning

    ERIC Educational Resources Information Center

    Coburn, Christopher J.

    2012-01-01

    The purpose of this dissertation was to investigate the effects of prompting students to monitor their use of learning strategies and comprehension while completing self-paced, work-related training in a computer-based learning environment. Study participants included 94 enlisted military volunteers, randomly assigned to one of three groups in the…

  5. To Compare the Effects of Computer Based Learning and the Laboratory Based Learning on Students' Achievement Regarding Electric Circuits

    ERIC Educational Resources Information Center

    Bayrak, Bekir; Kanli, Uygar; Kandil Ingeç, Sebnem

    2007-01-01

    In this study, the research problem was: "Is the computer based physics instruction as effective as laboratory intensive physics instruction with regards to academic success on electric circuits 9th grade students?" For this research of experimental quality the design of pre-test and post-test are applied with an experiment and a control…

  6. Factors affecting learning of vector math from computer-based practice: Feedback complexity and prior knowledge

    NASA Astrophysics Data System (ADS)

    Heckler, Andrew F.; Mikula, Brendon D.

    2016-06-01

    In experiments including over 450 university-level students, we studied the effectiveness and time efficiency of several levels of feedback complexity in simple, computer-based training utilizing static question sequences. The learning domain was simple vector math, an essential skill in introductory physics. In a unique full factorial design, we studied the relative effects of "knowledge of correct response" feedback and "elaborated feedback" (i.e., a general explanation) both separately and together. A number of other factors were analyzed, including training time, physics course grade, prior knowledge of vector math, and student beliefs about both their proficiency in and the importance of vector math. We hypothesize a simple model predicting how the effectiveness of feedback depends on prior knowledge, and the results confirm this knowledge-by-treatment interaction. Most notably, elaborated feedback is the most effective feedback, especially for students with low prior knowledge and low course grade. In contrast, knowledge of correct response feedback was less effective for low-performing students, and including both kinds of feedback did not significantly improve performance compared to elaborated feedback alone. Further, while elaborated feedback resulted in higher scores, the learning rate was at best only marginally higher because the training time was slightly longer. Training time data revealed that students spent significantly more time on the elaborated feedback after answering a training question incorrectly. Finally, we found that training improved student self-reported proficiency and that belief in the importance of the learned domain improved the effectiveness of training. Overall, we found that computer based training with static question sequences and immediate elaborated feedback in the form of simple and general explanations can be an effective way to improve student performance on a physics essential skill, especially for less prepared and low

  7. Interactive Augmentation of Computer Generated Force Behavior Based on Cooperative and Reinforcement Learning. Phase 1.

    DTIC Science & Technology

    1995-09-01

    produced a design methodology for augmenting computer generated force behavior with the NeurRule Technology concepts of cooperative and reinforcement ... learning . The Phase I results indicate that (1) Intelligent CGFs can improve task performance through on-line learning, utilizing information from

  8. Development of a Personalized Educational Computer Game Based on Students' Learning Styles

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Sung, Han-Yu; Hung, Chun-Ming; Huang, Iwen; Tsai, Chin-Chung

    2012-01-01

    In recent years, many researchers have been engaged in the development of educational computer games; however, previous studies have indicated that, without supportive models that take individual students' learning needs or difficulties into consideration, students might only show temporary interest during the learning process, and their learning…

  9. The Reverse Modality Effect: Examining Student Learning from Interactive Computer-Based Instruction

    ERIC Educational Resources Information Center

    Inan, Fethi A.; Crooks, Steven M.; Cheon, Jongpil; Ari, Fatih; Flores, Raymond; Kurucay, Murat; Paniukov, Dmitrii

    2015-01-01

    The purpose of this study was to explore the effects of modality on learning from multimedia instruction. This study utilized a factorial between-subject design to examine the effects of modality on student learning outcomes, study patterns and mental effort. An interactive computer-presented diagram was developed to teach the places of…

  10. Computer-Supported Team-Based Learning: The Impact of Motivation, Enjoyment and Team Contributions on Learning Outcomes

    ERIC Educational Resources Information Center

    Gomez, Elizabeth Avery; Wu, Dezhi; Passerini, Katia

    2010-01-01

    The benefits of teamwork and collaboration have long been advocated by many educational theories, such as constructivist and social learning models. Among the various applications of collaborative learning, the iterative team-based learning (TBL) process proposed by Michaelsen, Fink, and Knight (2002) has been successfully used in the classroom…

  11. Examining Student Opinions on Computer Use Based on the Learning Styles in Mathematics Education

    ERIC Educational Resources Information Center

    Ozgen, Kemal; Bindak, Recep

    2012-01-01

    The purpose of this study is to identify the opinions of high school students, who have different learning styles, related to computer use in mathematics education. High school students' opinions on computer use in mathematics education were collected with both qualitative and quantitative approaches in the study conducted with a survey model. For…

  12. Effects of Computer-Based Visual Representation on Mathematics Learning and Cognitive Load

    ERIC Educational Resources Information Center

    Yung, Hsin I.; Paas, Fred

    2015-01-01

    Visual representation has been recognized as a powerful learning tool in many learning domains. Based on the assumption that visual representations can support deeper understanding, we examined the effects of visual representations on learning performance and cognitive load in the domain of mathematics. An experimental condition with visual…

  13. Cognitive Effects of an Authentic Computer-Supported, Problem-Based Learning Environment.

    ERIC Educational Resources Information Center

    Arts, Jos A. R.; Gijselaers, Wim H.; Segers, Mien S. R.

    2002-01-01

    Examines the redesign of a problem-based learning (PBL) course and its effects on students' cognitive learning outcomes in a college business course in the Netherlands. Compares the regular PBL course with the new authentic learning environment that included greater authenticity of case studies, more learner control, and social collaboration that…

  14. Image Segmentation Based on Learning Cellular Automata Using Soft Computing Approach

    NASA Astrophysics Data System (ADS)

    Das, Debasis; Ray, Abhishek

    2010-10-01

    Image Segmentation refers to the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. A Cellular Automata (CA) is a computing model of complex system using simple rule. It divides the problem space into number of cells and each cell can be in one or several final states. Cells are affected by its neighbor's to the simple rule. Learning Cellular Automata (LCA) is a variant of automata that interact with random environment having as goal to improve its behavior. This paper proposes an image segmentation technique based on LCA using soft computing approach. This proposed method works in two steps, the first step is called as soft segmentation where the input image(s) is/are analyzed through LCA and the second step is called as soft computing approach where the analyzed image is segmented through fuzzy C-means algorithm.

  15. Computational intelligence-based polymerase chain reaction primer selection based on a novel teaching-learning-based optimisation.

    PubMed

    Cheng, Yu-Huei

    2014-12-01

    Specific primers play an important role in polymerase chain reaction (PCR) experiments, and therefore it is essential to find specific primers of outstanding quality. Unfortunately, many PCR constraints must be simultaneously inspected which makes specific primer selection difficult and time-consuming. This paper introduces a novel computational intelligence-based method, Teaching-Learning-Based Optimisation, to select the specific and feasible primers. The specified PCR product lengths of 150-300 bp and 500-800 bp with three melting temperature formulae of Wallace's formula, Bolton and McCarthy's formula and SantaLucia's formula were performed. The authors calculate optimal frequency to estimate the quality of primer selection based on a total of 500 runs for 50 random nucleotide sequences of 'Homo species' retrieved from the National Center for Biotechnology Information. The method was then fairly compared with the genetic algorithm (GA) and memetic algorithm (MA) for primer selection in the literature. The results show that the method easily found suitable primers corresponding with the setting primer constraints and had preferable performance than the GA and the MA. Furthermore, the method was also compared with the common method Primer3 according to their method type, primers presentation, parameters setting, speed and memory usage. In conclusion, it is an interesting primer selection method and a valuable tool for automatic high-throughput analysis. In the future, the usage of the primers in the wet lab needs to be validated carefully to increase the reliability of the method.

  16. Content and Processes in Problem-Based Learning: A Comparison of Computer-Mediated and Face-to-Face Communication

    ERIC Educational Resources Information Center

    Stromso, H. I.; Grottum, P.; Lycke, K. H.

    2007-01-01

    There has been an increasing interest in the use of computer-mediated communication (CMC) in problem-based learning. One line of research has been to introduce synchronous, or simultaneous, communication attempting to create text-based digital real-time interaction. Compared with face-to-face (F2F) communication, CMC may be a poorer medium…

  17. Validating the ACE Model for Evaluating Student Performance Using a Teaching-Learning Process Based on Computational Modeling Systems

    ERIC Educational Resources Information Center

    Louzada, Alexandre Neves; Elia, Marcos da Fonseca; Sampaio, Fábio Ferrentini; Vidal, Andre Luiz Pestana

    2014-01-01

    The aim of this work is to adapt and test, in a Brazilian public school, the ACE model proposed by Borkulo for evaluating student performance as a teaching-learning process based on computational modeling systems. The ACE model is based on different types of reasoning involving three dimensions. In addition to adapting the model and introducing…

  18. Learning-based image preprocessing for robust computer-aided detection

    NASA Astrophysics Data System (ADS)

    Raghupathi, Laks; Devarakota, Pandu R.; Wolf, Matthias

    2013-03-01

    Recent studies have shown that low dose computed tomography (LDCT) can be an effective screening tool to reduce lung cancer mortality. Computer-aided detection (CAD) would be a beneficial second reader for radiologists in such cases. Studies demonstrate that while iterative reconstructions (IR) improve LDCT diagnostic quality, it however degrades CAD performance significantly (increased false positives) when applied directly. For improving CAD performance, solutions such as retraining with newer data or applying a standard preprocessing technique may not be suffice due to high prevalence of CT scanners and non-uniform acquisition protocols. Here, we present a learning-based framework that can adaptively transform a wide variety of input data to boost an existing CAD performance. This not only enhances their robustness but also their applicability in clinical workflows. Our solution consists of applying a suitable pre-processing filter automatically on the given image based on its characteristics. This requires the preparation of ground truth (GT) of choosing an appropriate filter resulting in improved CAD performance. Accordingly, we propose an efficient consolidation process with a novel metric. Using key anatomical landmarks, we then derive consistent feature descriptors for the classification scheme that then uses a priority mechanism to automatically choose an optimal preprocessing filter. We demonstrate CAD prototype∗ performance improvement using hospital-scale datasets acquired from North America, Europe and Asia. Though we demonstrated our results for a lung nodule CAD, this scheme is straightforward to extend to other post-processing tools dedicated to other organs and modalities.

  19. Deep learning for computational chemistry.

    PubMed

    Goh, Garrett B; Hodas, Nathan O; Vishnu, Abhinav

    2017-03-08

    The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later, we are now seeing a resurgence of interest in deep learning, a machine learning algorithm based on multilayer neural networks. Within the last few years, we have seen the transformative impact of deep learning in many domains, particularly in speech recognition and computer vision, to the extent that the majority of expert practitioners in those field are now regularly eschewing prior established models in favor of deep learning models. In this review, we provide an introductory overview into the theory of deep neural networks and their unique properties that distinguish them from traditional machine learning algorithms used in cheminformatics. By providing an overview of the variety of emerging applications of deep neural networks, we highlight its ubiquity and broad applicability to a wide range of challenges in the field, including quantitative structure activity relationship, virtual screening, protein structure prediction, quantum chemistry, materials design, and property prediction. In reviewing the performance of deep neural networks, we observed a consistent outperformance against non-neural networks state-of-the-art models across disparate research topics, and deep neural network-based models often exceeded the "glass ceiling" expectations of their respective tasks. Coupled with the maturity of GPU-accelerated computing for training deep neural networks and the exponential growth of chemical data on which to train these networks on, we anticipate that deep learning algorithms will be a valuable tool for computational chemistry. © 2017 Wiley Periodicals, Inc.

  20. Learners' Use of Communication Strategies in Text-Based and Video-Based Synchronous Computer-Mediated Communication Environments: Opportunities for Language Learning

    ERIC Educational Resources Information Center

    Hung, Yu-Wan; Higgins, Steve

    2016-01-01

    This study investigates the different learning opportunities enabled by text-based and video-based synchronous computer-mediated communication (SCMC) from an interactionist perspective. Six Chinese-speaking learners of English and six English-speaking learners of Chinese were paired up as tandem (reciprocal) learning dyads. Each dyad participated…

  1. Assessing Medical Students’ Self-regulation as Aptitude in Computer-based Learning

    PubMed Central

    Song, Hyuksoon S.; Kalet, Adina L.; Plass, Jan L.

    2013-01-01

    We developed a Self-Regulation Measure for Computer-based learning (SRMC) tailored toward medical students, by modifying Zimmerman’s Self-Regulated Learning Interview Schedule (SRLIS) for K-12 learners. The SRMC’s reliability and validity were examined in 2 studies. In Study 1, 109 first-year medical students were asked to complete the SRMC. Bivariate correlation analysis results indicated that the SRMC scores had a moderate degree of correlation with student achievement in a teacher-developed test. In Study 2, 58 third-year clerkship students completed the SRMC. Regression analysis results indicated that the frequency of medical students’ usage of self-regulation strategies was associated with their general clinical knowledge measured by a nationally standardized licensing exam. These two studies provided evidence for the reliability and concurrent validity of the SRMC to assess medical students’ self-regulation as aptitude. Future work should provide evidence to guide and improve instructional design as well as inform educational policy. PMID:20872071

  2. Computer-based exercises for learning to read and spell by deaf children.

    PubMed

    Reitsma, Pieter

    2009-01-01

    There is a surprising lack of systematic research evaluating the effects of reading exercises for young deaf children. Therefore, for this article, two computer-based exercises were developed and learning effects were determined by posttests. One (spelling oriented) exercise was to select the correct word among three orthographically similar alternatives that corresponds to a drawing or a sign (digital video). The other (meaning oriented) exercise was to select the correct sign or picture among three alternatives that corresponds to a written word. Eleven deaf Dutch children with a mean age of 7 years 10 months participated in the study. A first question was whether in single-word exercises the meaning or the spelling of a word should be emphasized. A second question was whether there was any effect of using drawings or signs to refer to the meaning of the word. The results reveal that emphasizing the word spelling is most effective for learning to read for deaf children and the findings also suggest that drawings are more efficient in the current exercises.

  3. Improving learning with science and social studies text using computer-based concept maps for students with disabilities.

    PubMed

    Ciullo, Stephen; Falcomata, Terry S; Pfannenstiel, Kathleen; Billingsley, Glenna

    2015-01-01

    Concept maps have been used to help students with learning disabilities (LD) improve literacy skills and content learning, predominantly in secondary school. However, despite increased access to classroom technology, no previous studies have examined the efficacy of computer-based concept maps to improve learning from informational text for students with LD in elementary school. In this study, we used a concurrent delayed multiple probe design to evaluate the interactive use of computer-based concept maps on content acquisition with science and social studies texts for Hispanic students with LD in Grades 4 and 5. Findings from this study suggest that students improved content knowledge during intervention relative to a traditional instruction baseline condition. Learning outcomes and social validity information are considered to inform recommendations for future research and the feasibility of classroom implementation.

  4. Probabilistic reward- and punishment-based learning in opioid addiction: Experimental and computational data.

    PubMed

    Myers, Catherine E; Sheynin, Jony; Balsdon, Tarryn; Luzardo, Andre; Beck, Kevin D; Hogarth, Lee; Haber, Paul; Moustafa, Ahmed A

    2016-01-01

    Addiction is the continuation of a habit in spite of negative consequences. A vast literature gives evidence that this poor decision-making behavior in individuals addicted to drugs also generalizes to laboratory decision making tasks, suggesting that the impairment in decision-making is not limited to decisions about taking drugs. In the current experiment, opioid-addicted individuals and matched controls with no history of illicit drug use were administered a probabilistic classification task that embeds both reward-based and punishment-based learning trials, and a computational model of decision making was applied to understand the mechanisms describing individuals' performance on the task. Although behavioral results showed that opioid-addicted individuals performed as well as controls on both reward- and punishment-based learning, the modeling results suggested subtle differences in how decisions were made between the two groups. Specifically, the opioid-addicted group showed decreased tendency to repeat prior responses, meaning that they were more likely to "chase reward" when expectancies were violated, whereas controls were more likely to stick with a previously-successful response rule, despite occasional expectancy violations. This tendency to chase short-term reward, potentially at the expense of developing rules that maximize reward over the long term, may be a contributing factor to opioid addiction. Further work is indicated to better understand whether this tendency arises as a result of brain changes in the wake of continued opioid use/abuse, or might be a pre-existing factor that may contribute to risk for addiction.

  5. Probabilistic Reward- and Punishment-based Learning in Opioid Addiction: Experimental and Computational Data

    PubMed Central

    Myers, Catherine E.; Sheynin, Jony; Baldson, Tarryn; Luzardo, Andre; Beck, Kevin D.; Hogarth, Lee; Haber, Paul; Moustafa, Ahmed A.

    2016-01-01

    Addiction is the continuation of a habit in spite of negative consequences. A vast literature gives evidence that this poor decision-making behavior in individuals addicted to drugs also generalizes to laboratory decision making tasks, suggesting that the impairment in decision-making is not limited to decisions about taking drugs. In the current experiment, opioid-addicted individuals and matched controls with no history of illicit drug use were administered a probabilistic classification task that embeds both reward-based and punishment-based learning trials, and a computational model of decision making was applied to understand the mechanisms describing individuals’ performance on the task. Although behavioral results showed thatopioid-addicted individuals performed as well as controls on both reward- and punishment-based learning, the modeling results suggested subtle differences in how decisions were made between the two groups. Specifically, the opioid-addicted group showed decreased tendency to repeat prior responses, meaning that they were more likely to “chase reward” when expectancies were violated, whereas controls were more likely to stick with a previously-successful response rule, despite occasional expectancy violations. This tendency to chase short-term reward, potentially at the expense of developing rules that maximize reward over the long term, may be a contributing factor to opioid addiction. Further work is indicated to better understand whether this tendency arises as a result of brain changes in the wake of continued opioid use/abuse, or might be a pre-existing factor that may contribute to risk for addiction. PMID:26381438

  6. Exploring the Effects of Online Team-Based Learning and Co-Regulated Learning on Students' Development of Computing Skills

    ERIC Educational Resources Information Center

    Tsai, Chia-Wen

    2016-01-01

    As more and more educational institutions are providing online courses, it is necessary to design effective teaching methods integrated with technologies to benefit both teachers and students. The researcher in this study designed innovative online teaching methods of team-based learning (TBL) and co-regulated learning (CRL) to improve students'…

  7. Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models

    NASA Astrophysics Data System (ADS)

    Dickes, Amanda Catherine; Sengupta, Pratim

    2013-06-01

    In this paper, we investigate how elementary school students develop multi-level explanations of population dynamics in a simple predator-prey ecosystem, through scaffolded interactions with a multi-agent-based computational model (MABM). The term "agent" in an MABM indicates individual computational objects or actors (e.g., cars), and these agents obey simple rules assigned or manipulated by the user (e.g., speeding up, slowing down, etc.). It is the interactions between these agents, based on the rules assigned by the user, that give rise to emergent, aggregate-level behavior (e.g., formation and movement of the traffic jam). Natural selection is such an emergent phenomenon, which has been shown to be challenging for novices (K16 students) to understand. Whereas prior research on learning evolutionary phenomena with MABMs has typically focused on high school students and beyond, we investigate how elementary students (4th graders) develop multi-level explanations of some introductory aspects of natural selection—species differentiation and population change—through scaffolded interactions with an MABM that simulates predator-prey dynamics in a simple birds-butterflies ecosystem. We conducted a semi-clinical interview based study with ten participants, in which we focused on the following: a) identifying the nature of learners' initial interpretations of salient events or elements of the represented phenomena, b) identifying the roles these interpretations play in the development of their multi-level explanations, and c) how attending to different levels of the relevant phenomena can make explicit different mechanisms to the learners. In addition, our analysis also shows that although there were differences between high- and low-performing students (in terms of being able to explain population-level behaviors) in the pre-test, these differences disappeared in the post-test.

  8. Using a Dialogue System Based on Dialogue Maps for Computer Assisted Second Language Learning

    ERIC Educational Resources Information Center

    Choi, Sung-Kwon; Kwon, Oh-Woog; Kim, Young-Kil; Lee, Yunkeun

    2016-01-01

    In order to use dialogue systems for computer assisted second-language learning systems, one of the difficult issues in such systems is how to construct large-scale dialogue knowledge that matches the dialogue modelling of a dialogue system. This paper describes how we have accomplished the short-term construction of large-scale and…

  9. Optimizing Cognitive Load for Learning from Computer-Based Science Simulations

    ERIC Educational Resources Information Center

    Lee, Hyunjeong; Plass, Jan L.; Homer, Bruce D.

    2006-01-01

    How can cognitive load in visual displays of computer simulations be optimized? Middle-school chemistry students (N = 257) learned with a simulation of the ideal gas law. Visual complexity was manipulated by separating the display of the simulations in two screens (low complexity) or presenting all information on one screen (high complexity). The…

  10. Characteristics of Israeli School Teachers in Computer-Based Learning Environments

    ERIC Educational Resources Information Center

    Magen-Nagar, Noga; Peled, Bracha

    2013-01-01

    The purpose of this research is to investigate whether there are differences in the level of computer literacy, the amount of implementation of ICT in teaching and learning-assessment processes and the attitudes of teachers from computerized schools in comparison to teachers in non-computerized schools. In addition, the research investigates the…

  11. Evaluation of the Effectiveness of a Web-Based Learning Design for Adult Computer Science Courses

    ERIC Educational Resources Information Center

    Antonis, Konstantinos; Daradoumis, Thanasis; Papadakis, Spyros; Simos, Christos

    2011-01-01

    This paper reports on work undertaken within a pilot study concerned with the design, development, and evaluation of online computer science training courses. Drawing on recent developments in e-learning technology, these courses were structured around the principles of a learner-oriented approach for use with adult learners. The paper describes a…

  12. Connecting Expectations and Values: Students' Perceptions of Developmental Mathematics in a Computer-Based Learning Environment

    ERIC Educational Resources Information Center

    Jackson, Karen Latrice Terrell

    2014-01-01

    Students' perceptions influence their expectations and values. According to Expectations and Values Theory of Achievement Motivation (EVT-AM), students' expectations and values impact their behaviors (Eccles & Wigfield, 2002). This study seeks to find students' perceptions of developmental mathematics in a mastery learning computer-based…

  13. Implicational Markedness and Frequency in Constraint-Based Computational Models of Phonological Learning

    ERIC Educational Resources Information Center

    Jarosz, Gaja

    2010-01-01

    This study examines the interacting roles of implicational markedness and frequency from the joint perspectives of formal linguistic theory, phonological acquisition and computational modeling. The hypothesis that child grammars are rankings of universal constraints, as in Optimality Theory (Prince & Smolensky, 1993/2004), that learning involves a…

  14. "Horses for Courses": Categories of Computer-Based Learning Program and Their Uses in Pharmacology Courses.

    ERIC Educational Resources Information Center

    Hughes, Ian E.

    1998-01-01

    Describes the pharma-CAL-ogy project, funded by Teaching and Learning Technology Programme (TLTP), which has developed various types of software for use in pharmacology courses. Topics include course organization and delivery software, drill and practice software, tutorial-type programs, simulations, and the need to integrate computer-assisted…

  15. Using Computer-Based Testing as Alternative Assessment Method of Student Learning in Distance Education

    ERIC Educational Resources Information Center

    Sapriati, Amalia; Zuhairi, Aminudin

    2010-01-01

    This paper addresses the use of computer-based testing in distance education, based on the experience of Universitas Terbuka (UT), Indonesia. Computer-based testing has been developed at UT for reasons of meeting the specific needs of distance students as the following: (1) students' inability to sit for the scheduled test; (2) conflicting test…

  16. Thinking Tools in Computer-Based Assessment: Technology Enhancements in Assessments for Learning

    ERIC Educational Resources Information Center

    Rosen, Yigal

    2014-01-01

    One of the greatest concerns in schools today is how teachers can bring together assessment and learning in a way that is meaningful for students' thinking skills, while focusing on content standards. Better understanding of how different types of technology based thinking tools can be used for improving classroom teaching and learning,…

  17. A Computer-Assisted Learning Model Based on the Digital Game Exponential Reward System

    ERIC Educational Resources Information Center

    Moon, Man-Ki; Jahng, Surng-Gahb; Kim, Tae-Yong

    2011-01-01

    The aim of this research was to construct a motivational model which would stimulate voluntary and proactive learning using digital game methods offering players more freedom and control. The theoretical framework of this research lays the foundation for a pedagogical learning model based on digital games. We analyzed the game reward system, which…

  18. The Impact of Students' Exploration Strategies on Discovery Learning Using Computer-Based Simulations

    ERIC Educational Resources Information Center

    Dalgarno, Barney; Kennedy, Gregor; Bennett, Sue

    2014-01-01

    Discovery-based learning designs incorporating active exploration are common within instructional software. However, researchers have highlighted empirical evidence showing that "pure" discovery learning is of limited value and strategies which reduce complexity and provide guidance to learners are important if potential learning…

  19. A Comparison of Computer-Assisted Instruction and Field-Based Learning for Youth Rangeland Education

    ERIC Educational Resources Information Center

    Peterson, Jennifer; Launchbaugh, Karen; Pickering, Michael; Hollenhorst, Steven

    2006-01-01

    Field-based learning experiences are often used to increase the effectiveness of science curricula. However, time and financial limitations in public schools often hinder a teacher's ability to bring their students into the field for learning, despite increased demands to incorporate more science content into their curricula. In addition, federal…

  20. Effects of Unidirectional vs. Reciprocal Teaching Strategies on Web-Based Computer Programming Learning

    ERIC Educational Resources Information Center

    Shadiev, Rustam; Hwang, Wu-Yuin; Yeh, Shih-Ching; Yang, Stephen J. H.; Wang, Jing-Liang; Han, Lin; Hsu, Guo-Liang

    2014-01-01

    This study aimed to investigate an effectiveness of unidirectional and reciprocal teaching strategies on programming learning supported by web-based learning system (VPen); particularly, how differently effective these two teaching strategies would work. In this study novice programmers were exposed to three different conditions: 1) applying no…

  1. GenieTutor: A Computer Assisted Second-Language Learning System Based on Semantic and Grammar Correctness Evaluations

    ERIC Educational Resources Information Center

    Kwon, Oh-Woog; Lee, Kiyoung; Kim, Young-Kil; Lee, Yunkeun

    2015-01-01

    This paper introduces a Dialog-Based Computer-Assisted second-Language Learning (DB-CALL) system using semantic and grammar correctness evaluations and the results of its experiment. While the system dialogues with English learners about a given topic, it automatically evaluates the grammar and content properness of their English utterances, then…

  2. Computer-Based Auditory Training (CBAT): Benefits for Children with Language- and Reading-Related Learning Difficulties

    ERIC Educational Resources Information Center

    Loo, Jenny Hooi Yin; Bamiou, Doris-Eva; Campbell, Nicci; Luxon, Linda M.

    2010-01-01

    This article reviews the evidence for computer-based auditory training (CBAT) in children with language, reading, and related learning difficulties, and evaluates the extent it can benefit children with auditory processing disorder (APD). Searches were confined to studies published between 2000 and 2008, and they are rated according to the level…

  3. The Effects of Varied Visual Organizational Strategies within Computer-Based Instruction on Factual, Conceptual and Problem Solving Learning.

    ERIC Educational Resources Information Center

    Haag, Brenda Bannan; Grabowski, Barbara L.

    The purpose of this exploratory study was to examine the effectiveness of learner manipulation of visuals with and without organizing cues in computer-based instruction on adults' factual, conceptual, and problem-solving learning. An instructional unit involving the physiology and the anatomy of the heart was used. A post-test only control group…

  4. The Role of Technology and Computer-Based Instruction in a Disadvantaged Alternative School's Culture of Learning

    ERIC Educational Resources Information Center

    Watson, Sunnie Lee; Watson, William R.

    2011-01-01

    New approaches to instruction are increasingly being advocated to meet the needs of diverse learners. Educational researchers have identified the further development and application of computer-based instruction technologies for managing differentiated learning for all students as essential for shifting to a learner-centered paradigm of…

  5. The Effect of a Graph-Oriented Computer-Assisted Project-Based Learning Environment on Argumentation Skills

    ERIC Educational Resources Information Center

    Hsu, P. -S.; Van Dyke, M.; Chen, Y.; Smith, T. J.

    2015-01-01

    The purpose of this quasi-experimental study was to explore how seventh graders in a suburban school in the United States developed argumentation skills and science knowledge in a project-based learning environment that incorporated a graph-oriented, computer-assisted application. A total of 54 students (three classes) comprised this treatment…

  6. Student Conceptions about the DNA Structure within a Hierarchical Organizational Level: Improvement by Experiment- and Computer-Based Outreach Learning

    ERIC Educational Resources Information Center

    Langheinrich, Jessica; Bogner, Franz X.

    2015-01-01

    As non-scientific conceptions interfere with learning processes, teachers need both, to know about them and to address them in their classrooms. For our study, based on 182 eleventh graders, we analyzed the level of conceptual understanding by implementing the "draw and write" technique during a computer-supported gene technology module.…

  7. Computer-Based Graphical Displays for Enhancing Mental Animation and Improving Reasoning in Novice Learning of Probability

    ERIC Educational Resources Information Center

    Kaplan, Danielle E.; Wu, Erin Chia-ling

    2006-01-01

    Our research suggests static and animated graphics can lead to more animated thinking and more correct problem solving in computer-based probability learning. Pilot software modules were developed for graduate online statistics courses and representation research. A study with novice graduate student statisticians compared problem solving in five…

  8. Tool Use and Performance: Relationships between Tool- and Learner-Related Characteristics in a Computer-Based Learning Environment

    ERIC Educational Resources Information Center

    Juarez-Collazo, Norma A.; Elen, Jan; Clarebout, Geraldine

    2013-01-01

    It is still unclear on what and how tool and learner characteristics influence tool use and consequently performance in computer-based learning environments (CBLEs). This study examines the relationships between tool-related characteristics (tool presentation: non-/embedded tool and instructional cues: non-/explained tool functionality) and…

  9. Effects of Computer-Based Instruction on Student Learning of Psychophysiological Detection of Deception Test Question Formulation.

    ERIC Educational Resources Information Center

    Janniro, Michael J.

    1993-01-01

    Describes a study conducted by the Department of Defense Polygraph Institute for their forensic science curriculum that investigated the effects of computer-based instruction on student learning of psychophysiological detection of deception test question formulation. Treatment of the experimental and control group is explained and posttest scores…

  10. Developing Simulation-Based Computer Assisted Learning to Correct Students' Statistical Misconceptions Based on Cognitive Conflict Theory, Using "Correlation" as an Example

    ERIC Educational Resources Information Center

    Liu, Tzu-Chien

    2010-01-01

    Understanding and applying statistical concepts is essential in modern life. However, common statistical misconceptions limit the ability of students to understand statistical concepts. Although simulation-based computer assisted learning (CAL) is promising for use in students learning statistics, substantial improvement is still needed. For…

  11. The effects of computer-based dynamic visualization simulations on student learning in high school science

    NASA Astrophysics Data System (ADS)

    Moodley, Sadha

    The purpose of this study was to determine whether the use of dynamic computer-based visualizations of the classical model of particle behavior helps to improve student understanding, performance, and interest in science when used by teachers as visual presentations to complement their traditional methods of teaching. The software, Virtual Molecular Dynamics Laboratory (VMDL), was developed at the Center for Polymer Studies at Boston University through funding from the National Science Foundation. The design of the study included five pairs of classes in four different schools in New England from the inner city and from advantaged suburbs. The study employed a treatment-control group design for testing the impact of several VMDL simulations on student learning in several content areas from traditional chemistry and physical science courses. The study employed a mixed qualitative and quantitative design. The quantitative part involved administering the Group Assessment of Logical Thinking (GALT) as well as post-tests that were topic specific. An Analysis of Covariance (ANCOVA) was conducted on the test scores with the GALT scores serving as a covariate. Results of the ANCOVA showed that students' understanding and performance were better in classes where teachers used the computer-based dynamic visualizations to complement their traditional teaching. GALT scores were significantly different among schools but very similar within schools. They were significant in adjusting post-test scores for pre-treatment differences for only two of the schools. The treatment groups outscored the control groups in all five comparisons. The mean differences reached statistical significance at the p < .01 level in only four of the comparisons. The qualitative part of the study involved classroom observations and student interviews. Analysis of classroom observations revealed a shift in classroom dynamics to more learner-centeredness with greater engagement by students, especially in

  12. Developing Long-Term Computing Skills among Low-Achieving Students via Web-Enabled Problem-Based Learning and Self-Regulated Learning

    ERIC Educational Resources Information Center

    Tsai, Chia-Wen; Lee, Tsang-Hsiung; Shen, Pei-Di

    2013-01-01

    Many private vocational schools in Taiwan have taken to enrolling students with lower levels of academic achievement. The authors re-designed a course and conducted a series of quasi-experiments to develop students' long-term computing skills, and examined the longitudinal effects of web-enabled, problem-based learning (PBL) and self-regulated…

  13. A Comparative Study of Paper-Based and Computer-Based Contextualization in Vocabulary Learning of EFL Students

    ERIC Educational Resources Information Center

    Ahmadian, Mousa; Amerian, Majid; Goodarzi, Ahmad

    2015-01-01

    Vocabulary acquisition is one of the largest and most important tasks in language classes. New technologies, such as computers, have helped a lot in this way. The importance of the issue led the researchers to do the present study which concerns the comparison of contextualized vocabulary learning on paper and through Computer Assisted Language…

  14. Generational Learning Style Preferences Based on Computer-Based Healthcare Training

    ERIC Educational Resources Information Center

    Knight, Michaelle H.

    2016-01-01

    Purpose. The purpose of this mixed-method study was to determine the degree of perceived differences for auditory, visual and kinesthetic learning styles of Traditionalist, Baby Boomers, Generation X and Millennial generational healthcare workers participating in technology-assisted healthcare training. Methodology. This mixed-method research…

  15. Computer Systems for Distributed and Distance Learning.

    ERIC Educational Resources Information Center

    Anderson, M.; Jackson, David

    2000-01-01

    Discussion of network-based learning focuses on a survey of computer systems for distributed and distance learning. Both Web-based systems and non-Web-based systems are reviewed in order to highlight some of the major trends of past projects and to suggest ways in which progress may be made in the future. (Contains 92 references.) (Author/LRW)

  16. Dual-Dictionary Learning-Based Iterative Image Reconstruction for Spectral Computed Tomography Application

    PubMed Central

    Zhao, Bo; Ding, Huanjun; Lu, Yang; Wang, Ge; Zhao, Jun; Molloi, Sabee

    2015-01-01

    In this study, we investigated the effectiveness of a novel Iterative Reconstruction (IR) method coupled with Dual-Dictionary Learning (DDL) for image reconstruction in a dedicated breast Computed Tomography (CT) system based on a Cadmium-Zinc-Telluride (CZT) photon-counting detector and compared it to the Filtered-Back-Projection (FBP) method with the ultimate goal of reducing the number of projections necessary for reconstruction without sacrificing image quality. Postmortem breast samples were scanned in a fan-beam CT system and were reconstructed from 100–600 projections with both IR and FBP methods. The Contrast-to-Noise Ratio (CNR) between the glandular and adipose tissues of the postmortem breast samples was calculated to compare the quality of images reconstructed from IR and FBP. The spatial resolution of the two reconstruction techniques was evaluated using Aluminum (Al) wires with diameters of 643, 813, 1020, 1290 and 1630 µm in a plastic epoxy resin phantom with diameter of 13 cm. Both the spatial resolution and the CNR were improved with IR compared to FBP for the images reconstructed from the same number of projections. In comparison with FBP reconstruction, the CNR was improved from 3.4 to 7.5 by using the IR method with 6-fold fewer projections while maintaining the same spatial resolution. The study demonstrated that the IR method coupled with DDL could significantly reduce the required number of projections for a CT reconstruction compared to FBP method while achieving a much better CNR and maintaining the same spatial resolution. From this, the radiation dose and scanning time can potentially be reduced by a factor of approximately 6 by using this IR method for image reconstruction in a CZT-based breast CT system. PMID:23192234

  17. Learning about and from others' prudence, impatience or laziness: The computational bases of attitude alignment

    PubMed Central

    Devaine, Marie

    2017-01-01

    Peoples' subjective attitude towards costs such as, e.g., risk, delay or effort are key determinants of inter-individual differences in goal-directed behaviour. Thus, the ability to learn about others' prudent, impatient or lazy attitudes is likely to be critical for social interactions. Conversely, how adaptive such attitudes are in a given environment is highly uncertain. Thus, the brain may be tuned to garner information about how such costs ought to be arbitrated. In particular, observing others' attitude may change one's uncertain belief about how to best behave in related difficult decision contexts. In turn, learning from others' attitudes is determined by one's ability to learn about others' attitudes. We first derive, from basic optimality principles, the computational properties of such a learning mechanism. In particular, we predict two apparent cognitive biases that would arise when individuals are learning about others’ attitudes: (i) people should overestimate the degree to which they resemble others (false-consensus bias), and (ii) they should align their own attitudes with others’ (social influence bias). We show how these two biases non-trivially interact with each other. We then validate these predictions experimentally by profiling people's attitudes both before and after guessing a series of cost-benefit arbitrages performed by calibrated artificial agents (which are impersonating human individuals). PMID:28358869

  18. Learning Natural Selection in 4th Grade with Multi-Agent-Based Computational Models

    ERIC Educational Resources Information Center

    Dickes, Amanda Catherine; Sengupta, Pratim

    2013-01-01

    In this paper, we investigate how elementary school students develop multi-level explanations of population dynamics in a simple predator-prey ecosystem, through scaffolded interactions with a multi-agent-based computational model (MABM). The term "agent" in an MABM indicates individual computational objects or actors (e.g., cars), and these…

  19. Learning with Artificial Worlds: Computer-Based Modelling in the Curriculum.

    ERIC Educational Resources Information Center

    Mellar, Harvey, Ed.; And Others

    With the advent of the British National Curriculum, computer-based modeling has become an integral part of the school curriculum. This book is about modeling in education and providing children with computer tools to create and explore representations of the world. Members of the London Mental Models Group contributed their research: (1)…

  20. Effects of Textual and Animated Orienting Activities and Practice on Learning from Computer-Based Instruction.

    ERIC Educational Resources Information Center

    Rieber, Lloyd P.; Hannafin, Michael J.

    1988-01-01

    Describes study designed to examine the effects of textual and/or computer animated orienting strategies and practice on rule-using and problem-solving skills of elementary school students using computer-assisted instruction. Four different versions of a lesson based on Isaac Newton's Law of Motion are described, and results are analyzed. (28…

  1. Computer Learning for Young Children.

    ERIC Educational Resources Information Center

    Choy, Anita Y.

    1995-01-01

    Computer activities that combine education and entertainment make learning easy and fun for preschoolers. Computers encourage social skills, language and literacy skills, cognitive development, problem solving, and eye-hand coordination. The paper describes one teacher's experiences setting up a computer center and using computers with…

  2. Computer-based learning of spelling skills in children with and without dyslexia.

    PubMed

    Kast, Monika; Baschera, Gian-Marco; Gross, Markus; Jäncke, Lutz; Meyer, Martin

    2011-12-01

    Our spelling training software recodes words into multisensory representations comprising visual and auditory codes. These codes represent information about letters and syllables of a word. An enhanced version, developed for this study, contains an additional phonological code and an improved word selection controller relying on a phoneme-based student model. We investigated the spelling behavior of children by means of learning curves based on log-file data of the previous and the enhanced software version. First, we compared the learning progress of children with dyslexia working either with the previous software (n = 28) or the adapted version (n = 37). Second, we investigated the spelling behavior of children with dyslexia (n = 37) and matched children without dyslexia (n = 25). To gain deeper insight into which factors are relevant for acquiring spelling skills, we analyzed the influence of cognitive abilities, such as attention functions and verbal memory skills, on the learning behavior. All investigations of the learning process are based on learning curve analyses of the collected log-file data. The results evidenced that those children with dyslexia benefit significantly from the additional phonological cue and the corresponding phoneme-based student model. Actually, children with dyslexia improve their spelling skills to the same extent as children without dyslexia and were able to memorize phoneme to grapheme correspondence when given the correct support and adequate training. In addition, children with low attention functions benefit from the structured learning environment. Generally, our data showed that memory sources are supportive cognitive functions for acquiring spelling skills and for using the information cues of a multi-modal learning environment.

  3. Traditional versus Computer-Based Dissections in Enhancing Learning in a Tertiary Setting: A Student Perspective.

    ERIC Educational Resources Information Center

    Franklin, Sue; Peat, Mary; Lewis, Alison

    2002-01-01

    Describes a study that investigates both the use and usefulness of laboratory dissections and computer-based dissections in a tertiary, first-year human biology course. Explores attitudes toward dissection. (DDR)

  4. The computer-based lecture.

    PubMed

    Wofford, M M; Spickard, A W; Wofford, J L

    2001-07-01

    Advancing computer technology, cost-containment pressures, and desire to make innovative improvements in medical education argue for moving learning resources to the computer. A reasonable target for such a strategy is the traditional clinical lecture. The purpose of the lecture, the advantages and disadvantages of "live" versus computer-based lectures, and the technical options in computerizing the lecture deserve attention in developing a cost-effective, complementary learning strategy that preserves the teacher-learner relationship. Based on a literature review of the traditional clinical lecture, we build on the strengths of the lecture format and discuss strategies for converting the lecture to a computer-based learning presentation.

  5. Students' Perceptions of Computer-Based Learning Environments, Their Attitude towards Business Statistics, and Their Academic Achievement: Implications from a UK University

    ERIC Educational Resources Information Center

    Nguyen, ThuyUyen H.; Charity, Ian; Robson, Andrew

    2016-01-01

    This study investigates students' perceptions of computer-based learning environments, their attitude towards business statistics, and their academic achievement in higher education. Guided by learning environments concepts and attitudinal theory, a theoretical model was proposed with two instruments, one for measuring the learning environment and…

  6. Development of an experimental paradigm in which to examine human learning using two computer-based formats.

    PubMed

    Hoffman, H M; Colt, H G; Haas, A

    2001-01-01

    Computer-based self-instructional programs are frequently promoted as means to augment or replace the traditional anatomy curricula taught in medical schools. These programs may range from static slide shows to fully immersive virtual environments. However, the impact of these learning technologies on knowledge acquisition, and their comparative cost/benefit to education remain unclear. As a consequence, we are embarking on a series of experiments to compare knowledge acquisition and the meaningful use of information among students who are learning anatomy using one of two different computer-based self-instructional formats. These studies will be based on a specially developed learning module on basic lung anatomy; they will utilize a variety of assessment tools to measure factual knowledge, conceptual understanding of spatial-anatomic relationships, and the ability to apply newly acquired knowledge of anatomy to clinical problem-solving scenarios. The primary object of this paper is to describe the design and development of the underlying test module and to outline the two computer-based formats that will be evaluated. The virtual reality (VR) environment, UCSD's Anatomic VisualizeR, provides dynamic access to 3-dimensional polygonal models of the lesson content and supports student-centered exploration and learning. The multimedia environment, Microsoft PowerPoint, provides a structured presentation of the lesson content and illustrates important anatomic structures through the use of 2-dimensional images derived by screen captures of models available in the VR learning module. This paper also provides an overview of the first experiment in the series, a pilot study using first-year medical students without previous participation in a medical school anatomy curriculum. For this study, students will be prospectively randomized into two groups, each group learning the lung anatomy lesson using one of the computer-based formats described. Immediate knowledge

  7. Learning Mathematics with Interactive Whiteboards and Computer-Based Graphing Utility

    ERIC Educational Resources Information Center

    Erbas, Ayhan Kursat; Ince, Muge; Kaya, Sukru

    2015-01-01

    The purpose of this study was to explore the effect of a technology-supported learning environment utilizing an interactive whiteboard (IWB) and NuCalc graphing software compared to a traditional direct instruction-based environment on student achievement in graphs of quadratic functions and attitudes towards mathematics and technology. Sixty-five…

  8. Corpora Processing and Computational Scaffolding for a Web-Based English Learning Environment: The CANDLE Project

    ERIC Educational Resources Information Center

    Liou, Hsien-Chin; Chang, Jason S; Chen, Hao-Jan; Lin, Chih-Cheng; Liaw, Meei-Ling; Gao, Zhao-Ming; Jang, Jyh-Shing Roger; Yeh, Yuli; Chuang, Thomas C.; You, Geeng-Neng

    2006-01-01

    This paper describes the development of an innovative web-based environment for English language learning with advanced data-driven and statistical approaches. The project uses various corpora, including a Chinese-English parallel corpus ("Sinorama") and various natural language processing (NLP) tools to construct effective English…

  9. The Role of Visualization in Learning from Computer-Based Images. Research Report

    ERIC Educational Resources Information Center

    Piburn, Michael D.; Reynolds, Stephen J.; McAuliffe, Carla; Leedy, Debra E.; Birk, James P.; Johnson, Julia K.

    2005-01-01

    Among the sciences, the practice of geology is especially visual. To assess the role of spatial ability in learning geology, we designed an experiment using: (1) web-based versions of spatial visualization tests, (2) a geospatial test, and (3) multimedia instructional modules built around QuickTime Virtual Reality movies. Students in control and…

  10. The comparative effect of individually-generated vs. collaboratively-generated computer-based concept mapping on science concept learning

    NASA Astrophysics Data System (ADS)

    Kwon, So Young

    Using a quasi-experimental design, the researcher investigated the comparative effects of individually-generated and collaboratively-generated computer-based concept mapping on middle school science concept learning. Qualitative data were analyzed to explain quantitative findings. One hundred sixty-one students (74 boys and 87 girls) in eight, seventh grade science classes at a middle school in Southeast Texas completed the entire study. Using prior science performance scores to assure equivalence of student achievement across groups, the researcher assigned the teacher's classes to one of the three experimental groups. The independent variable, group, consisted of three levels: 40 students in a control group, 59 students trained to individually generate concept maps on computers, and 62 students trained to collaboratively generate concept maps on computers. The dependent variables were science concept learning as demonstrated by comprehension test scores, and quality of concept maps created by students in experimental groups as demonstrated by rubric scores. Students in the experimental groups received concept mapping training and used their newly acquired concept mapping skills to individually or collaboratively construct computer-based concept maps during study time. The control group, the individually-generated concept mapping group, and the collaboratively-generated concept mapping group had equivalent learning experiences for 50 minutes during five days, excepting that students in a control group worked independently without concept mapping activities, students in the individual group worked individually to construct concept maps, and students in the collaborative group worked collaboratively to construct concept maps during their study time. Both collaboratively and individually generated computer-based concept mapping had a positive effect on seventh grade middle school science concept learning but neither strategy was more effective than the other. However

  11. Student conceptions about the DNA structure within a hierarchical organizational level: Improvement by experiment- and computer-based outreach learning.

    PubMed

    Langheinrich, Jessica; Bogner, Franz X

    2015-01-01

    As non-scientific conceptions interfere with learning processes, teachers need both, to know about them and to address them in their classrooms. For our study, based on 182 eleventh graders, we analyzed the level of conceptual understanding by implementing the "draw and write" technique during a computer-supported gene technology module. To give participants the hierarchical organizational level which they have to draw, was a specific feature of our study. We introduced two objective category systems for analyzing drawings and inscriptions. Our results indicated a long- as well as a short-term increase in the level of conceptual understanding and in the number of drawn elements and their grades concerning the DNA structure. Consequently, we regard the "draw and write" technique as a tool for a teacher to get to know students' alternative conceptions. Furthermore, our study points the modification potential of hands-on and computer-supported learning modules.

  12. The role of visualization in learning from computer-based images

    NASA Astrophysics Data System (ADS)

    Piburn, Michael D.; Reynolds, Stephen J.; McAuliffe, Carla; Leedy, Debra E.; Birk, James P.; Johnson, Julia K.

    2005-05-01

    Among the sciences, the practice of geology is especially visual. To assess the role of spatial ability in learning geology, we designed an experiment using: (1) web-based versions of spatial visualization tests, (2) a geospatial test, and (3) multimedia instructional modules built around QuickTime Virtual Reality movies. Students in control and experimental sections were administered measures of spatial orientation and visualization, as well as a content-based geospatial examination. All subjects improved significantly in their scores on spatial visualization and the geospatial examination. There was no change in their scores on spatial orientation. A three-way analysis of variance, with the geospatial examination as the dependent variable, revealed significant main effects favoring the experimental group and a significant interaction between treatment and gender. These results demonstrate that spatial ability can be improved through instruction, that learning of geological content will improve as a result, and that differences in performance between the genders can be eliminated.

  13. Gifted Students' Individual Differences in Distance-Learning Computer-Based Calculus and Linear Algebra.

    ERIC Educational Resources Information Center

    Cope, Eric W.; Suppes, Patrick

    2002-01-01

    Examined student performance in distance computer-based calculus and linear algebra courses offered by Stanford University to pre-college students as part of their Education Program for Gifted youth (EPGY). Puts special emphasis on modeling student performance over time and on capturing long-term trend effects using stochastic and nonlinear…

  14. Conducting Scientific Research on Learning and Health Behavior Change with Computer-Based Health Games

    ERIC Educational Resources Information Center

    Mayer, Richard E.; Lieberman, Debra A.

    2011-01-01

    This article is a guide for researchers interested in assessing the effectiveness of serious computer-based games (or video games, digital games, or electronic games) intended to improve health and health care. It presents a definition of health games, a rationale for their use, an overview of the current state of research, and recommendations for…

  15. The Relationships among Measures of Intrinsic Motivation, Instructional Design, and Learning in Computer-Based Instruction.

    ERIC Educational Resources Information Center

    Rezabek, Randy

    The intent of this study was to explore the intrinsic aspects of motivation, and to see if the design of instruction could positively affect learners' levels of intrinsic motivation toward the subject matter. The following questions were addressed: (1) Will different computer-based instructional treatments which have been designed to reflect…

  16. A Review of Research on Intercultural Learning through Computer-Based Digital Technologies

    ERIC Educational Resources Information Center

    Çiftçi, Emrullah Yasin

    2016-01-01

    Intercultural communication is now a crucial part of our globalizing lives; however, not everyone has an opportunity to engage in an intercultural interaction with people from different cultures. Computer-based technologies are promising in creating environments for people to communicate with people from diverse cultures. This qualitative…

  17. Implementing cognitive learning strategies in computer-based educational technology: a proposed system.

    PubMed Central

    Wang, M. J.; Contino, P. B.; Ramirez, E. S.

    1997-01-01

    Switching the development focus of computer-based instruction from the concerns of delivery technology to the fundamentals of instructional methodology, is a notion that has received increased attention among educational theorists and instructional designers over the last several years. Building upon this precept, a proposed methodology and computer support system is presented for distilling educational objectives into concept maps using strategies derived from cognitive theory. Our system design allows for a flexible and extensible architecture in which an educator can create instructional modules that encapsulate their teaching strategies, and mimics the adaptive behavior used by experienced instructors in teaching complex educational objectives. PMID:9357716

  18. Personal Learning through the Computer.

    ERIC Educational Resources Information Center

    Shaw, Mildred L. G.

    1979-01-01

    Discusses the role of the computer as a personal learning aid, and describes a set of programs using conversational heuristics which interacts with the cognitive modeling processes of the participant. (Author/CMV)

  19. The Influence of Trainee Gaming Experience and Computer Self-Efficacy on Learner Outcomes of Videogame-Based Learning Environments

    DTIC Science & Technology

    2005-06-01

    Computers in Human Behavior , 14 (1), 23-42. Anderson, D. K., & Reed, W. M. (1998). The effects of internet instruction, prior computer experience, and...and prevalence. Computers in Human Behavior , 17, 213-224. Brown, K. G. (2001). Using computers to deliver training: which employees learn and why...1999). Computer anxiety and its correlates: a meta- analysis. Computers in Human Behavior , 15, 609-623. Clevenger, J., Pereira, G. M., Wiechmann, D

  20. My Computer Is Learning.

    ERIC Educational Resources Information Center

    Good, Ron

    1986-01-01

    Describes instructional uses of computer programs found in David Heiserman's book "Projects in Machine Intelligence for Your Home Computer." The programs feature "creatures" of various colors that move around within a rectangular white border. (JN)

  1. Individual Differences in Graduate Students' Help-Seeking Process in Using a Computer Coach in Problem-Based Learning

    ERIC Educational Resources Information Center

    Mercier, Julien; Frederiksen, C. H.

    2007-01-01

    There is a scarcity of research regarding help seeking in the context of computer learning environments providing on-demand help, a context in which help-seeking skills appear critical for learning [Aleven, V., Stahl, E., Schworm, S., Fisher, F., & Wallace, R. (2003). "Help seeking and help design in interactive learning environments." "Review of…

  2. Comparison of the traditional recall-based versus a new list-based method for computing semantic clustering on the California Verbal Learning Test: evidence from Alzheimer's disease.

    PubMed

    Delis, Dean C; Fine, Eric M; Stricker, John L; Houston, Wes S; Wetter, Spencer R; Cobell, Krystal; Jacobson, Mark W; Salmon, David P; Bondi, Mark W

    2010-01-01

    For over 50 years, cognitive psychologists and neuropsychologists have relied almost exclusively on a method for computing semantic clustering on list-learning tasks (recall-based formula) that was derived from an outdated assumption about how learning occurs. A new procedure for computing semantic clustering (list-based formula) was developed for the CVLT-II to correct the shortcomings of the traditional method. In the present study we compared the clinical utility of the traditional recall-based method versus the new list-based method using results from the original CVLT administered to 87 patients with Alzheimer's disease and 86 matched normal control participants. Logistic regression and score distribution analyses indicated that the new list-based method enhances the detection of differences in semantic-clustering ability between the groups.

  3. Does Participation in a Computer-Based Learning Program in Introductory Financial Accounting Course Lead to Choosing Accounting as a Major?

    ERIC Educational Resources Information Center

    Owhoso, Vincent; Malgwi, Charles A.; Akpomi, Margaret

    2014-01-01

    The authors examine whether students who completed a computer-based intervention program, designed to help them develop abilities and skills in introductory accounting, later declared accounting as a major. A sample of 1,341 students participated in the study, of which 74 completed the intervention program (computer-based assisted learning [CBAL])…

  4. Learning with Ubiquitous Computing

    ERIC Educational Resources Information Center

    Rosenheck, Louisa

    2008-01-01

    If ubiquitous computing becomes a reality and is widely adopted, it will inevitably have an impact on education. This article reviews the background of ubiquitous computing and current research projects done involving educational "ubicomp." Finally it explores how ubicomp may and may not change education in both formal and informal settings and…

  5. Bifurcating neuron: computation and learning.

    PubMed

    Lysetskiy, Mykola; Zurada, Jacek M

    2004-03-01

    The ability of bifurcating processing units and their networks to rapidly switch between different dynamic modes has been used in recent research efforts to model new computational properties of neural systems. In this spirit, we devise a bifurcating neuron based on control of chaos collapsing to a period-3 orbit in the dynamics of a quadratic logistic map (QLM). Proposed QLM3 neuron is constructed with the third iterate of QLM and uses an external input, which governs its dynamics. The input shifts the neuron's dynamics from chaos to one of the stable fixed points. This way the inputs from certain ranges (clusters) are mapped to stable fixed points, while the rest of the inputs is mapped to chaotic or periodic output dynamics. It has been shown that QLM3 neuron is able to learn a specific mapping by adaptively adjusting its bifurcation parameter, the idea of which is based on the principles of parametric control of logistic maps [Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA'97), Honolulu, HI, 1997; Proceedings of SPIE, 2000]. Learning algorithm for the bifurcation parameter is proposed, which employs the error gradient descent method.

  6. A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task.

    PubMed

    Zendehrouh, Sareh

    2015-11-01

    Recent work on decision-making field offers an account of dual-system theory for decision-making process. This theory holds that this process is conducted by two main controllers: a goal-directed system and a habitual system. In the reinforcement learning (RL) domain, the habitual behaviors are connected with model-free methods, in which appropriate actions are learned through trial-and-error experiences. However, goal-directed behaviors are associated with model-based methods of RL, in which actions are selected using a model of the environment. Studies on cognitive control also suggest that during processes like decision-making, some cortical and subcortical structures work in concert to monitor the consequences of decisions and to adjust control according to current task demands. Here a computational model is presented based on dual system theory and cognitive control perspective of decision-making. The proposed model is used to simulate human performance on a variant of probabilistic learning task. The basic proposal is that the brain implements a dual controller, while an accompanying monitoring system detects some kinds of conflict including a hypothetical cost-conflict one. The simulation results address existing theories about two event-related potentials, namely error related negativity (ERN) and feedback related negativity (FRN), and explore the best account of them. Based on the results, some testable predictions are also presented.

  7. A knowledge-based system with learning for computer communication network design

    NASA Technical Reports Server (NTRS)

    Pierre, Samuel; Hoang, Hai Hoc; Tropper-Hausen, Evelyne

    1990-01-01

    Computer communication network design is well-known as complex and hard. For that reason, the most effective methods used to solve it are heuristic. Weaknesses of these techniques are listed and a new approach based on artificial intelligence for solving this problem is presented. This approach is particularly recommended for large packet switched communication networks, in the sense that it permits a high degree of reliability and offers a very flexible environment dealing with many relevant design parameters such as link cost, link capacity, and message delay.

  8. Effectiveness of Computer-Based Educational Technology in Distance Learning: A Review of the Literature.

    ERIC Educational Resources Information Center

    Lesh, Steven G.; Rampp, Lary C.

    Learning at a distance has been on the fringe of educational acceptance since the first correspondence course was delivered through the mail system in return for academic credit. As distance learning has matured, elements of enhanced instructional design and advances in educational technology have migrated this medium of learning closer to the…

  9. Impacts and Characteristics of Computer-Based Science Inquiry Learning Environments for Precollege Students

    ERIC Educational Resources Information Center

    Donnelly, Dermot F.; Linn, Marcia C.; Ludvigsen, Sten

    2014-01-01

    The National Science Foundation-sponsored report "Fostering Learning in the Networked World" called for "a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences." We review research on science inquiry learning environments (ILEs)…

  10. Computer-Based Concept Mapping.

    ERIC Educational Resources Information Center

    Fisher, K. M.; And Others

    1990-01-01

    Described is a computer-based tool, SemNet, which can be used by good and poor students to facilitate, extend, and polish their learning skills. Emphasized are skills associated with meaningful or deep-level learning. The components, use, and theoretical background of the software are discussed. (CW)

  11. Computer-Based and Paper-Based Reading Comprehension in Adolescents with Typical Language Development and Language-Learning Disabilities

    ERIC Educational Resources Information Center

    Srivastava, Pradyumn; Gray, Shelley

    2012-01-01

    Purpose: With the global expansion of technology, our reading platform has shifted from traditional text to hypertext, yet little consideration has been given to how this shift might help or hinder students' reading comprehension. The purpose of this study was to compare reading comprehension of computer-based and paper-based texts in adolescents…

  12. The effects of 3D interactive animated graphics on student learning and attitudes in computer-based instruction

    NASA Astrophysics Data System (ADS)

    Moon, Hye Sun

    Visuals are most extensively used as instructional tools in education to present spatially-based information. Recent computer technology allows the generation of 3D animated visuals to extend the presentation in computer-based instruction. Animated visuals in 3D representation not only possess motivational value that promotes positive attitudes toward instruction but also facilitate learning when the subject matter requires dynamic motion and 3D visual cue. In this study, three questions are explored: (1) how 3D graphics affects student learning and attitude, in comparison with 2D graphics; (2) how animated graphics affects student learning and attitude, in comparison with static graphics; and (3) whether the use of 3D graphics, when they are supported by interactive animation, is the most effective visual cues to improve learning and to develop positive attitudes. A total of 145 eighth-grade students participated in a 2 x 2 factorial design study. The subjects were randomly assigned to one of four computer-based instructions: 2D static; 2D animated; 3D static; and 3D animated. The results indicated that: (1) Students in the 3D graphic condition exhibited more positive attitudes toward instruction than those in the 2D graphic condition. No group differences were found between the posttest score of 3D graphic condition and that of 2D graphic condition. However, students in the 3D graphic condition took less time for information retrieval on posttest than those in the 2D graphic condition. (2) Students in the animated graphic condition exhibited slightly more positive attitudes toward instruction than those in the static graphic condition. No group differences were found between the posttest score of animated graphic condition and that of static graphic condition. However, students in the animated graphic condition took less time for information retrieval on posttest than those in the static graphic condition. (3) Students in the 3D animated graphic condition

  13. Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques.

    PubMed

    Sun, Ke; Wang, Zhengjie; Tu, Kang; Wang, Shaojin; Pan, Leiqing

    2016-11-29

    To investigate the potential of conventional and deep learning techniques to recognize the species and distribution of mould in unhulled paddy, samples were inoculated and cultivated with five species of mould, and sample images were captured. The mould recognition methods were built using support vector machine (SVM), back-propagation neural network (BPNN), convolutional neural network (CNN), and deep belief network (DBN) models. An accuracy rate of 100% was achieved by using the DBN model to identify the mould species in the sample images based on selected colour-histogram parameters, followed by the SVM and BPNN models. A pitch segmentation recognition method combined with different classification models was developed to recognize the mould colony areas in the image. The accuracy rates of the SVM and CNN models for pitch classification were approximately 90% and were higher than those of the BPNN and DBN models. The CNN and DBN models showed quicker calculation speeds for recognizing all of the pitches segmented from a single sample image. Finally, an efficient uniform CNN pitch classification model for all five types of sample images was built. This work compares multiple classification models and provides feasible recognition methods for mouldy unhulled paddy recognition.

  14. Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques

    NASA Astrophysics Data System (ADS)

    Sun, Ke; Wang, Zhengjie; Tu, Kang; Wang, Shaojin; Pan, Leiqing

    2016-11-01

    To investigate the potential of conventional and deep learning techniques to recognize the species and distribution of mould in unhulled paddy, samples were inoculated and cultivated with five species of mould, and sample images were captured. The mould recognition methods were built using support vector machine (SVM), back-propagation neural network (BPNN), convolutional neural network (CNN), and deep belief network (DBN) models. An accuracy rate of 100% was achieved by using the DBN model to identify the mould species in the sample images based on selected colour-histogram parameters, followed by the SVM and BPNN models. A pitch segmentation recognition method combined with different classification models was developed to recognize the mould colony areas in the image. The accuracy rates of the SVM and CNN models for pitch classification were approximately 90% and were higher than those of the BPNN and DBN models. The CNN and DBN models showed quicker calculation speeds for recognizing all of the pitches segmented from a single sample image. Finally, an efficient uniform CNN pitch classification model for all five types of sample images was built. This work compares multiple classification models and provides feasible recognition methods for mouldy unhulled paddy recognition.

  15. Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques

    PubMed Central

    Sun, Ke; Wang, Zhengjie; Tu, Kang; Wang, Shaojin; Pan, Leiqing

    2016-01-01

    To investigate the potential of conventional and deep learning techniques to recognize the species and distribution of mould in unhulled paddy, samples were inoculated and cultivated with five species of mould, and sample images were captured. The mould recognition methods were built using support vector machine (SVM), back-propagation neural network (BPNN), convolutional neural network (CNN), and deep belief network (DBN) models. An accuracy rate of 100% was achieved by using the DBN model to identify the mould species in the sample images based on selected colour-histogram parameters, followed by the SVM and BPNN models. A pitch segmentation recognition method combined with different classification models was developed to recognize the mould colony areas in the image. The accuracy rates of the SVM and CNN models for pitch classification were approximately 90% and were higher than those of the BPNN and DBN models. The CNN and DBN models showed quicker calculation speeds for recognizing all of the pitches segmented from a single sample image. Finally, an efficient uniform CNN pitch classification model for all five types of sample images was built. This work compares multiple classification models and provides feasible recognition methods for mouldy unhulled paddy recognition. PMID:27897236

  16. Designing Communication Protocols for a Computer-Mediated Laboratory for Problem-Based Learning

    PubMed Central

    Koschmann, T.D.; Feltovich, P.J.; Myers, A.; Barrows, H.S.

    1990-01-01

    This paper describes some of the design criteria for a facility to support problem-based tutorials, known as the Computer-Mediated Tutorial Laboratory (CMTL). In the CMTL, a networked workstation will be provided for the tutor and each of the students. The tutor's workstation will be connected to a projection system, permitting the entire group to view the tutor's screen. The software used in the CMTL will have three components: a Patient Simulation Stack (PSS), the group/student Tutorial Stacks (TSs) and the network communication interface. The PSS represents a clinical problem; it is designed to realistically simulate an encounter with an actual patient. The TSs serve as a personalized record of what transpired in the tutorial session. Each student will maintain a private TS and the tutor will maintain a shared TS, viewable by all members of the group. The network communication interface will permit the participants in the tutorial to direct electronic messages to each other. The communication interface has two components: the client software available on the student's and tutor's workstation and the server software. The CMTL client software consists of two applications-one for sending messages and one for viewing the stream of incoming messages. Research is planned to investigate the effects of computer-mediation on the tutorial process.

  17. Computational... Physics Education: Letting physics learning drive the computational learning

    NASA Astrophysics Data System (ADS)

    Chonacky, Norman

    2011-03-01

    For several years I have been part of a team researching and rethinking why physicists are more willing to admit the value of computational modeling than to include it in what they teach. We have concluded that undergraduate faculty face characteristic barriers that discourage them from starting to integrate computation into their courses. Computational tools and resources are already developed and freely available for them to use. But there loom ill-defined ``costs'' to their course learning objectives and to them personally as instructors in undertaking this. In an attempt to understand these issues more deeply, I placed myself in the mindset of a relative novice to computational applications. My approach: focus on a physics problem first and then on the computation needed to address it. I asked: could I deepen my understanding of physics while simultaneously mastering new computational skills? My results may aid appreciation of the plight of both a novice professor contemplating the introduction of computation into a course and the students taking it. These may also provide insight into practical ways that computational physics might be integrated into an entire undergraduate curriculum. Research support from: Shodor Education Foundation; IEEE-Computer Society; and Teragrid Project. Research collaboration from Partnership for Integration of Computation into Undergraduate Physics.

  18. A Web-Based Computer-Aided Learning Module for an Anatomy Course Using Open Source Image Mapping Software

    ERIC Educational Resources Information Center

    Carleton, Renee E.

    2012-01-01

    Computer-aided learning (CAL) is used increasingly to teach anatomy in post-secondary programs. Studies show that augmentation of traditional cadaver dissection and model examination by CAL can be associated with positive student learning outcomes. In order to reduce costs associated with the purchase of skeletons and models and to encourage study…

  19. Beyond computer-based clinical reminders: improvement of the total service quality by small-group based organizational learning in primary care.

    PubMed

    Timpka, T; Marmolin, H

    1995-01-01

    In order to support continuous development of the services in a patient-centered primary care organization, a Computer-Supported Co-operative Work (CSCW) system has been developed. The system structures and supports organizational learning as a daily activity in parallel to clinical work. It is based on coordinated small-group activities in which strategic planning is integrated with monitoring and change of patient management. Implications for the future role of information systems in primary care are discussed.

  20. E-Learning and Instructional Management System Based on Local Computer Networks and Internet

    ERIC Educational Resources Information Center

    Khazaal, Hasan F.; Abbas, Riyadh A.; Abdulridha, Basim M.; Karam, Marc; Aglan, Heshmat

    2014-01-01

    This article describes the educational efforts invested at Wasit University (WU), in Wasit, Iraq, in order to make WU the first university in that country to implement campus-wide e-learning, which is essential for any country aiming for progress through the essential goal of "Education For All"; e-learning being economic, far-reaching,…

  1. An Evaluation of an Inquiry-Based Computer-Assisted Learning Environment.

    ERIC Educational Resources Information Center

    Maor, Dorit; Fraser, Barry

    1994-01-01

    This study focused on students' development of inquiry skills in a computerized learning environment. Seven Year-11 classes (n=120) interacted with a computerized database, "Birds of Antarctica," and curriculum materials while the teacher used an inquiry approach to learning. Students perceived their classes as more investigative and…

  2. Measuring Knowledge Elaboration Based on a Computer-Assisted Knowledge Map Analytical Approach to Collaborative Learning

    ERIC Educational Resources Information Center

    Zheng, Lanqin; Huang, Ronghuai; Hwang, Gwo-Jen; Yang, Kaicheng

    2015-01-01

    The purpose of this study is to quantitatively measure the level of knowledge elaboration and explore the relationships between prior knowledge of a group, group performance, and knowledge elaboration in collaborative learning. Two experiments were conducted to investigate the level of knowledge elaboration. The collaborative learning objective in…

  3. A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque.

    PubMed

    Hassani, S A; Oemisch, M; Balcarras, M; Westendorff, S; Ardid, S; van der Meer, M A; Tiesinga, P; Womelsdorf, T

    2017-01-16

    Noradrenaline is believed to support cognitive flexibility through the alpha 2A noradrenergic receptor (a2A-NAR) acting in prefrontal cortex. Enhanced flexibility has been inferred from improved working memory with the a2A-NA agonist Guanfacine. But it has been unclear whether Guanfacine improves specific attention and learning mechanisms beyond working memory, and whether the drug effects can be formalized computationally to allow single subject predictions. We tested and confirmed these suggestions in a case study with a healthy nonhuman primate performing a feature-based reversal learning task evaluating performance using Bayesian and Reinforcement learning models. In an initial dose-testing phase we found a Guanfacine dose that increased performance accuracy, decreased distractibility and improved learning. In a second experimental phase using only that dose we examined the faster feature-based reversal learning with Guanfacine with single-subject computational modeling. Parameter estimation suggested that improved learning is not accounted for by varying a single reinforcement learning mechanism, but by changing the set of parameter values to higher learning rates and stronger suppression of non-chosen over chosen feature information. These findings provide an important starting point for developing nonhuman primate models to discern the synaptic mechanisms of attention and learning functions within the context of a computational neuropsychiatry framework.

  4. A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque

    PubMed Central

    Hassani, S. A.; Oemisch, M.; Balcarras, M.; Westendorff, S.; Ardid, S.; van der Meer, M. A.; Tiesinga, P.; Womelsdorf, T.

    2017-01-01

    Noradrenaline is believed to support cognitive flexibility through the alpha 2A noradrenergic receptor (a2A-NAR) acting in prefrontal cortex. Enhanced flexibility has been inferred from improved working memory with the a2A-NA agonist Guanfacine. But it has been unclear whether Guanfacine improves specific attention and learning mechanisms beyond working memory, and whether the drug effects can be formalized computationally to allow single subject predictions. We tested and confirmed these suggestions in a case study with a healthy nonhuman primate performing a feature-based reversal learning task evaluating performance using Bayesian and Reinforcement learning models. In an initial dose-testing phase we found a Guanfacine dose that increased performance accuracy, decreased distractibility and improved learning. In a second experimental phase using only that dose we examined the faster feature-based reversal learning with Guanfacine with single-subject computational modeling. Parameter estimation suggested that improved learning is not accounted for by varying a single reinforcement learning mechanism, but by changing the set of parameter values to higher learning rates and stronger suppression of non-chosen over chosen feature information. These findings provide an important starting point for developing nonhuman primate models to discern the synaptic mechanisms of attention and learning functions within the context of a computational neuropsychiatry framework. PMID:28091572

  5. Project-Based Teaching-Learning Computer-Aided Engineering Tools

    ERIC Educational Resources Information Center

    Simoes, J. A.; Relvas, C.; Moreira, R.

    2004-01-01

    Computer-aided design, computer-aided manufacturing, computer-aided analysis, reverse engineering and rapid prototyping are tools that play an important key role within product design. These are areas of technical knowledge that must be part of engineering and industrial design courses' curricula. This paper describes our teaching experience of…

  6. Adaptive Device Context Based Mobile Learning Systems

    ERIC Educational Resources Information Center

    Pu, Haitao; Lin, Jinjiao; Song, Yanwei; Liu, Fasheng

    2011-01-01

    Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for…

  7. Researching Computer-Based Collaborative Learning in Inclusive Classrooms in Cyprus: The Role of the Computer in Pupils' Interaction

    ERIC Educational Resources Information Center

    Mavrou, Katerina; Lewis, Ann; Douglas, Graeme

    2010-01-01

    This paper discusses the results of a study of the role of the computer in scaffolding pupils' interaction and its effects on the disabled (D) pupils' participation and inclusion in the context of socio-cultural theories and the ideals of inclusive education. The study investigated the interactions of pairs of D and non-disabled (ND) pupils…

  8. Co-Regulation of Learning in Computer-Supported Collaborative Learning Environments: A Discussion

    ERIC Educational Resources Information Center

    Chan, Carol K. K.

    2012-01-01

    This discussion paper for this special issue examines co-regulation of learning in computer-supported collaborative learning (CSCL) environments extending research on self-regulated learning in computer-based environments. The discussion employs a socio-cognitive perspective focusing on social and collective views of learning to examine how…

  9. Computer-Mediated Collaborative Learning

    ERIC Educational Resources Information Center

    Beatty, Ken; Nunan, David

    2004-01-01

    The study reported here investigates collaborative learning at the computer. Ten pairs of students were presented with a series of comprehension questions about Mary Shelley's novel "Frankenstein or a Modern Prometheus" along with a CD-ROM, "Frankenstein Illuminated," containing the novel and a variety of source material. Five students worked with…

  10. The Role of Computer Simulation in an Inquiry-Based Learning Environment: Reconstructing Geological Events as Geologists

    ERIC Educational Resources Information Center

    Lin, Li-Fen; Hsu, Ying-Shao; Yeh, Yi-Fen

    2012-01-01

    Several researchers have investigated the effects of computer simulations on students' learning. However, few have focused on how simulations with authentic contexts influences students' inquiry skills. Therefore, for the purposes of this study, we developed a computer simulation (FossilSim) embedded in an authentic inquiry lesson. FossilSim…

  11. Learning and Teaching with a Computer Scanner

    ERIC Educational Resources Information Center

    Planinsic, G.; Gregorcic, B.; Etkina, E.

    2014-01-01

    This paper introduces the readers to simple inquiry-based activities (experiments with supporting questions) that one can do with a computer scanner to help students learn and apply the concepts of relative motion in 1 and 2D, vibrational motion and the Doppler effect. We also show how to use these activities to help students think like…

  12. How Science Students Can Learn about Unobservable Phenomena Using Computer-Based Analogies

    ERIC Educational Resources Information Center

    Trey, L.; Khan, S.

    2008-01-01

    A novel instructional computer simulation that incorporates a dynamic analogy to represent Le Chatelier's Principle was designed to investigate the contribution of this feature to students' understanding. Two groups of 12th grade Chemistry students (n=15) interacted with the computer simulation during the study. Both groups did the same…

  13. A Project-Based Learning Approach to Programmable Logic Design and Computer Architecture

    ERIC Educational Resources Information Center

    Kellett, C. M.

    2012-01-01

    This paper describes a course in programmable logic design and computer architecture as it is taught at the University of Newcastle, Australia. The course is designed around a major design project and has two supplemental assessment tasks that are also described. The context of the Computer Engineering degree program within which the course is…

  14. Learning Universal Computations with Spikes

    PubMed Central

    Thalmeier, Dominik; Uhlmann, Marvin; Kappen, Hilbert J.; Memmesheimer, Raoul-Martin

    2016-01-01

    Providing the neurobiological basis of information processing in higher animals, spiking neural networks must be able to learn a variety of complicated computations, including the generation of appropriate, possibly delayed reactions to inputs and the self-sustained generation of complex activity patterns, e.g. for locomotion. Many such computations require previous building of intrinsic world models. Here we show how spiking neural networks may solve these different tasks. Firstly, we derive constraints under which classes of spiking neural networks lend themselves to substrates of powerful general purpose computing. The networks contain dendritic or synaptic nonlinearities and have a constrained connectivity. We then combine such networks with learning rules for outputs or recurrent connections. We show that this allows to learn even difficult benchmark tasks such as the self-sustained generation of desired low-dimensional chaotic dynamics or memory-dependent computations. Furthermore, we show how spiking networks can build models of external world systems and use the acquired knowledge to control them. PMID:27309381

  15. Computer Based Learning in the Soviet Union--II. A Report on a Study Visit to Moscow, November-December 1978.

    ERIC Educational Resources Information Center

    Rushby, N. J.

    This report examines the state of computer based learning (CBL) in the Soviet Union based upon information gained during a visit to the Moscow Institute of Steel and Alloys, Moscow State University, and the Institute for Problems of Higher Schools. The visit had two aims: to study the political, educational, and technological pressures on CBL in…

  16. Effects of Reflection Category and Reflection Quality on Learning Outcomes during Web-Based Portfolio Assessment Process: A Case Study of High School Students in Computer Application Course

    ERIC Educational Resources Information Center

    Chou, Pao-Nan; Chang, Chi-Cheng

    2011-01-01

    This study examines the effects of reflection category and reflection quality on learning outcomes during Web-based portfolio assessment process. Experimental subjects consist of forty-five eight-grade students in a "Computer Application" course. Through the Web-based portfolio assessment system, these students write reflection, and join…

  17. Software Designers and Teachers as Evaluators of Computer-Based Learning Environments.

    ERIC Educational Resources Information Center

    Hakkinen, Paivi

    1996-01-01

    Describes a study conducted in Finland that investigated designers' and teachers' conceptions of learning and evaluation criteria for educational software. Results indicate that designers emphasized the appearance of software while teachers referred more to practical teaching arrangements, and that participative and collaborative design is needed.…

  18. A Study on the Learning Efficiency of Multimedia-Presented, Computer-Based Science Information

    ERIC Educational Resources Information Center

    Guan, Ying-Hua

    2009-01-01

    This study investigated the effects of multimedia presentations on the efficiency of learning scientific information (i.e. information on basic anatomy of human brains and their functions, the definition of cognitive psychology, and the structure of human memory). Experiment 1 investigated whether the modality effect could be observed when the…

  19. Computer-Based Learning: Graphical Integration of Whole and Sectional Neuroanatomy Improves Long-Term Retention

    ERIC Educational Resources Information Center

    Naaz, Farah; Chariker, Julia H.; Pani, John R.

    2014-01-01

    A study was conducted to test the hypothesis that instruction with graphically integrated representations of whole and sectional neuroanatomy is especially effective for learning to recognize neural structures in sectional imagery (such as magnetic resonance imaging [MRI]). Neuroanatomy was taught to two groups of participants using computer…

  20. Computer-based auditory training (CBAT): benefits for children with language- and reading-related learning difficulties.

    PubMed

    Loo, Jenny Hooi Yin; Bamiou, Doris-Eva; Campbell, Nicci; Luxon, Linda M

    2010-08-01

    This article reviews the evidence for computer-based auditory training (CBAT) in children with language, reading, and related learning difficulties, and evaluates the extent it can benefit children with auditory processing disorder (APD). Searches were confined to studies published between 2000 and 2008, and they are rated according to the level of evidence hierarchy proposed by the American Speech-Language Hearing Association (ASHA) in 2004. We identified 16 studies of two commercially available CBAT programs (13 studies of Fast ForWord (FFW) and three studies of Earobics) and five further outcome studies of other non-speech and simple speech sounds training, available for children with language, learning, and reading difficulties. The results suggest that, apart from the phonological awareness skills, the FFW and Earobics programs seem to have little effect on the language, spelling, and reading skills of children. Non-speech and simple speech sounds training may be effective in improving children's reading skills, but only if it is delivered by an audio-visual method. There is some initial evidence to suggest that CBAT may be of benefit for children with APD. Further research is necessary, however, to substantiate these preliminary findings.

  1. Deep learning for computational biology.

    PubMed

    Angermueller, Christof; Pärnamaa, Tanel; Parts, Leopold; Stegle, Oliver

    2016-07-29

    Technological advances in genomics and imaging have led to an explosion of molecular and cellular profiling data from large numbers of samples. This rapid increase in biological data dimension and acquisition rate is challenging conventional analysis strategies. Modern machine learning methods, such as deep learning, promise to leverage very large data sets for finding hidden structure within them, and for making accurate predictions. In this review, we discuss applications of this new breed of analysis approaches in regulatory genomics and cellular imaging. We provide background of what deep learning is, and the settings in which it can be successfully applied to derive biological insights. In addition to presenting specific applications and providing tips for practical use, we also highlight possible pitfalls and limitations to guide computational biologists when and how to make the most use of this new technology.

  2. A Two-Tier Test-Based Approach to Improving Students' Computer-Programming Skills in a Web-Based Learning Environment

    ERIC Educational Resources Information Center

    Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen J. H.; Hwang, Gwo-Haur

    2015-01-01

    Computer programming is an important skill for engineering and computer science students. However, teaching and learning programming concepts and skills has been recognized as a great challenge to both teachers and students. Therefore, the development of effective learning strategies and environments for programming courses has become an important…

  3. Experiences of Student Mathematics-Teachers in Computer-Based Mathematics Learning Environment

    ERIC Educational Resources Information Center

    Karatas, Ilhan

    2011-01-01

    Computer technology in mathematics education enabled the students find many opportunities for investigating mathematical relationships, hypothesizing, and making generalizations. These opportunities were provided to pre-service teachers through a faculty course. At the end of the course, the teachers were assigned project tasks involving…

  4. A Project-Based Learning Setting to Human-Computer Interaction for Teenagers

    ERIC Educational Resources Information Center

    Geyer, Cornelia; Geisler, Stefan

    2012-01-01

    Knowledge of fundamentals of human-computer interaction resp. usability engineering is getting more and more important in technical domains. However this interdisciplinary field of work and corresponding degree programs are not broadly known. Therefore at the Hochschule Ruhr West, University of Applied Sciences, a program was developed to give…

  5. Analyzing Team Based Engineering Design Process in Computer Supported Collaborative Learning

    ERIC Educational Resources Information Center

    Lee, Dong-Kuk; Lee, Eun-Sang

    2016-01-01

    The engineering design process has been largely implemented in a collaborative project format. Recently, technological advancement has helped collaborative problem solving processes such as engineering design to have efficient implementation using computers or online technology. In this study, we investigated college students' interaction and…

  6. Situated Learning in Computer Science Education

    ERIC Educational Resources Information Center

    Ben-Ari, Mordechai

    2004-01-01

    Sociocultural theories of learning such as Wenger and Lave's situated learning have been suggested as alternatives to cognitive theories of learning like constructivism. This article examines situated learning within the context of computer science (CS) education. Situated learning accurately describes some CS communities like open-source software…

  7. From Agents to Continuous Change via Aesthetics: Learning Mechanics with Visual Agent-Based Computational Modeling

    ERIC Educational Resources Information Center

    Sengupta, Pratim; Farris, Amy Voss; Wright, Mason

    2012-01-01

    Novice learners find motion as a continuous process of change challenging to understand. In this paper, we present a pedagogical approach based on agent-based, visual programming to address this issue. Integrating agent-based programming, in particular, Logo programming, with curricular science has been shown to be challenging in previous research…

  8. The Effect of Computer Based Instructional Technique for the Learning of Elementary Level Mathematics among High, Average and Low Achievers

    ERIC Educational Resources Information Center

    Afzal, Muhammad Tanveer; Gondal, Bashir; Fatima, Nuzhat

    2014-01-01

    The major objective of the study was to elicit the effect of three instructional methods for teaching of mathematics on low, average and high achiever elementary school students. Three methods: traditional instructional method, computer assisted instruction (CAI) and teacher facilitated mathematics learning software were employed for the teaching…

  9. Computational Scientific Inquiry with Virtual Worlds and Agent-Based Models: New Ways of Doing Science to Learn Science

    ERIC Educational Resources Information Center

    Jacobson, Michael J.; Taylor, Charlotte E.; Richards, Deborah

    2016-01-01

    In this paper, we propose computational scientific inquiry (CSI) as an innovative model for learning important scientific knowledge and new practices for "doing" science. This approach involves the use of a "game-like" virtual world for students to experience virtual biological fieldwork in conjunction with using an agent-based…

  10. Validating a Computer-Assisted Language Learning Attitude Instrument Used in Iranian EFL Context: An Evidence-Based Approach

    ERIC Educational Resources Information Center

    Aryadoust, Vahid; Mehran, Parisa; Alizadeh, Mehrasa

    2016-01-01

    A few computer-assisted language learning (CALL) instruments have been developed in Iran to measure EFL (English as a foreign language) learners' attitude toward CALL. However, these instruments have no solid validity argument and accordingly would be unable to provide a reliable measurement of attitude. The present study aimed to develop a CALL…

  11. A Blended Approach to Learning: Added Value and Lessons Learnt from Students' Use of Computer-Based Materials for Neurological Analysis

    ERIC Educational Resources Information Center

    Davies, Alison; Ramsay, Jill; Lindfield, Helen; Couperthwaite, John

    2005-01-01

    This paper examines BSc Physiotherapy students' experiences of developing their neurological observational and analytical skills using a blend of traditional classroom activities and computer-based materials at the University of Birmingham. New teaching and learning resources were developed and supported in the School of Health Sciences using Web…

  12. Supporting Learning of Variable Control in a Computer-Based Biology Environment: Effects of Prompting College Students To Reflect on Their Own Thinking.

    ERIC Educational Resources Information Center

    Lin, Xiaodong; Lehman, James D.

    1999-01-01

    Describes a study of college students who designed and conducted experiments involving control of variables after being assigned to one of four versions of a computer-based biology simulation learning environment. Finds that reason-justification prompts directed students' attention to understanding the employment of experimental design principles…

  13. A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning.

    PubMed

    Lu, Wei; Li, Zhe; Chu, Jinghui

    2017-03-06

    Breast cancer is a common cancer among women. With the development of modern medical science and information technology, medical imaging techniques have an increasingly important role in the early detection and diagnosis of breast cancer. In this paper, we propose an automated computer-aided diagnosis (CADx) framework for magnetic resonance imaging (MRI). The scheme consists of an ensemble of several machine learning-based techniques, including ensemble under-sampling (EUS) for imbalanced data processing, the Relief algorithm for feature selection, the subspace method for providing data diversity, and Adaboost for improving the performance of base classifiers. We extracted morphological, various texture, and Gabor features. To clarify the feature subsets' physical meaning, subspaces are built by combining morphological features with each kind of texture or Gabor feature. We tested our proposal using a manually segmented Region of Interest (ROI) data set, which contains 438 images of malignant tumors and 1898 images of normal tissues or benign tumors. Our proposal achieves an area under the ROC curve (AUC) value of 0.9617, which outperforms most other state-of-the-art breast MRI CADx systems. Compared with other methods, our proposal significantly reduces the false-positive classification rate.

  14. Computer based learning in an undergraduate physics laboratory: interfacing and instrument control using Matlab

    NASA Astrophysics Data System (ADS)

    Sharp, J. S.; Glover, P. M.; Moseley, W.

    2007-05-01

    In this paper we describe the recent changes to the curriculum of the second year practical laboratory course in the School of Physics and Astronomy at the University of Nottingham. In particular, we describe how Matlab has been implemented as a teaching tool and discuss both its pedagogical advantages and disadvantages in teaching undergraduate students about computer interfacing and instrument control techniques. We also discuss the motivation for converting the interfacing language that is used in the laboratory from LabView to Matlab. We describe an example of a typical experiment the students are required to complete and we conclude by briefly assessing how the recent curriculum changes have affected both student performance and compliance.

  15. Supporting Students' Learning and Socioscientific Reasoning About Climate Change—the Effect of Computer-Based Concept Mapping Scaffolds

    NASA Astrophysics Data System (ADS)

    Eggert, Sabina; Nitsch, Anne; Boone, William J.; Nückles, Matthias; Bögeholz, Susanne

    2016-01-01

    Climate change is one of the most challenging problems facing today's global society (e.g., IPCC 2013). While climate change is a widely covered topic in the media, and abundant information is made available through the internet, the causes and consequences of climate change in its full complexity are difficult for individuals, especially non-scientists, to grasp. Science education is a field which can play a crucial role in fostering meaningful education of students to become climate literate citizens (e.g., NOAA 2009; Schreiner et al., 41, 3-50, 2005). If students are, at some point, to participate in societal discussions about the sustainable development of our planet, their learning with respect to such issues needs to be supported. This includes the ability to think critically, to cope with complex scientific evidence, which is often subject to ongoing inquiry, and to reach informed decisions on the basis of factual information as well as values-based considerations. The study presented in this paper focused on efforts to advance students in (1) their conceptual understanding about climate change and (2) their socioscientific reasoning and decision making regarding socioscientific issues in general. Although there is evidence that "knowledge" does not guarantee pro-environmental behavior (e.g. Schreiner et al., 41, 3-50, 2005; Skamp et al., 97(2), 191-217, 2013), conceptual, interdisciplinary understanding of climate change is an important prerequisite to change individuals' attitudes towards climate change and thus to eventually foster climate literate citizens (e.g., Clark et al. 2013). In order to foster conceptual understanding and socioscientific reasoning, a computer-based learning environment with an embedded concept mapping tool was utilized to support senior high school students' learning about climate change and possible solution strategies. The evaluation of the effect of different concept mapping scaffolds focused on the quality of student

  16. Supporting Students' Learning and Socioscientific Reasoning About Climate Change—the Effect of Computer-Based Concept Mapping Scaffolds

    NASA Astrophysics Data System (ADS)

    Eggert, Sabina; Nitsch, Anne; Boone, William J.; Nückles, Matthias; Bögeholz, Susanne

    2017-02-01

    Climate change is one of the most challenging problems facing today's global society (e.g., IPCC 2013). While climate change is a widely covered topic in the media, and abundant information is made available through the internet, the causes and consequences of climate change in its full complexity are difficult for individuals, especially non-scientists, to grasp. Science education is a field which can play a crucial role in fostering meaningful education of students to become climate literate citizens (e.g., NOAA 2009; Schreiner et al., 41, 3-50, 2005). If students are, at some point, to participate in societal discussions about the sustainable development of our planet, their learning with respect to such issues needs to be supported. This includes the ability to think critically, to cope with complex scientific evidence, which is often subject to ongoing inquiry, and to reach informed decisions on the basis of factual information as well as values-based considerations. The study presented in this paper focused on efforts to advance students in (1) their conceptual understanding about climate change and (2) their socioscientific reasoning and decision making regarding socioscientific issues in general. Although there is evidence that "knowledge" does not guarantee pro-environmental behavior (e.g. Schreiner et al., 41, 3-50, 2005; Skamp et al., 97(2), 191-217, 2013), conceptual, interdisciplinary understanding of climate change is an important prerequisite to change individuals' attitudes towards climate change and thus to eventually foster climate literate citizens (e.g., Clark et al. 2013). In order to foster conceptual understanding and socioscientific reasoning, a computer-based learning environment with an embedded concept mapping tool was utilized to support senior high school students' learning about climate change and possible solution strategies. The evaluation of the effect of different concept mapping scaffolds focused on the quality of student

  17. Bayesian learning for spatial filtering in an EEG-based brain-computer interface.

    PubMed

    Zhang, Haihong; Yang, Huijuan; Guan, Cuntai

    2013-07-01

    Spatial filtering for EEG feature extraction and classification is an important tool in brain-computer interface. However, there is generally no established theory that links spatial filtering directly to Bayes classification error. To address this issue, this paper proposes and studies a Bayesian analysis theory for spatial filtering in relation to Bayes error. Following the maximum entropy principle, we introduce a gamma probability model for describing single-trial EEG power features. We then formulate and analyze the theoretical relationship between Bayes classification error and the so-called Rayleigh quotient, which is a function of spatial filters and basically measures the ratio in power features between two classes. This paper also reports our extensive study that examines the theory and its use in classification, using three publicly available EEG data sets and state-of-the-art spatial filtering techniques and various classifiers. Specifically, we validate the positive relationship between Bayes error and Rayleigh quotient in real EEG power features. Finally, we demonstrate that the Bayes error can be practically reduced by applying a new spatial filter with lower Rayleigh quotient.

  18. The impact of instructional design in a case-based, computer-assisted instruction module on learning liver pathology in a medical school pathology course

    NASA Astrophysics Data System (ADS)

    Latham, Patricia S.

    The purpose of this quantitative experimental study was to test the impact of three learning interventions on student learning and satisfaction when the interventions were embedded in the instructional design of case-based, Computer-Assisted Instruction (CAI) modules for learning liver pathology in an in-class, self-study, laboratory exercise during a Year-2 medical school Pathology course. The hypothesis was that inclusion of the learning interventions would enhance student satisfaction in using the CAI and improve subsequent CAI-directed exam performance. Three learning interventions were studied, including the use of microscopic virtual slides instead of only static images, the use of interactive image annotations instead of only still annotations, and the use of guiding questions before presenting new information. Students were randomly assigned to with one of eight CAI learning modules configured to control for each of the three learning interventions. Effectiveness of the CAI for student learning was assessed by student performance on questions included in subsequent CAI-directed exams in a pretest and on posttests immediately after the lab exercise, at two weeks and two months. Student satisfaction and perceived learning was assessed by a student survey. Results showed that the learning interventions did not improve subsequent student exam performance, although satisfaction and perceived learning with use of the CAI learning modules was enhanced. Student class rank was evaluated to determine if the learning interventions might have a differential effect based on class rank, but there were no significant differences. Class rank at the time of the lab exercise was itself the strongest predictor of exam performance. The findings suggest that the addition of virtual slides, interactive annotations and guiding questions as learning interventions in self-study, case-based CAI for learning liver pathology in a medical class room setting are not likely to increase

  19. Evaluating Integrated Task Based Activities and Computer Assisted Language Learning (CALL)

    ERIC Educational Resources Information Center

    Anwar, Khoirul; Husniah, Rohmy

    2016-01-01

    This study is to evaluate the implementation of Task Activities based on CALL which consist of observing, questioning, exploring, and communicating. The developed materials are nine chapters that had been implemented in two different classes of SMPN 1 Gresik and SMPM 4 Gresik in Indonesia. Of quesionnaires and interviews, the results indicate that…

  20. Collaborative Second Language Learning with a Contextualized Computer Environment.

    ERIC Educational Resources Information Center

    Bueno, Kathleen A.; Nelson, Wayne A.

    1993-01-01

    Discussion of computer-based second-language learning focuses on a study of elementary school students in grades four through six who used a contextualized computer environment that was designed to provide precommunicative practice with Spanish. Highlights include student roles in small groups, cooperative learning, and the teacher's role.…

  1. What Are We Looking for in Computer-Based Learning Interventions in Medical Education? A Systematic Review

    PubMed Central

    Ferreira, Patrícia; Taveira-Gomes, Isabel; Severo, Milton; Ferreira, Maria Amélia

    2016-01-01

    Background Computer-based learning (CBL) has been widely used in medical education, and reports regarding its usage and effectiveness have ranged broadly. Most work has been done on the effectiveness of CBL approaches versus traditional methods, and little has been done on the comparative effects of CBL versus CBL methodologies. These findings urged other authors to recommend such studies in hopes of improving knowledge about which CBL methods work best in which settings. Objective In this systematic review, we aimed to characterize recent studies of the development of software platforms and interventions in medical education, search for common points among studies, and assess whether recommendations for CBL research are being taken into consideration. Methods We conducted a systematic review of the literature published from 2003 through 2013. We included studies written in English, specifically in medical education, regarding either the development of instructional software or interventions using instructional software, during training or practice, that reported learner attitudes, satisfaction, knowledge, skills, or software usage. We conducted 2 latent class analyses to group articles according to platform features and intervention characteristics. In addition, we analyzed references and citations for abstracted articles. Results We analyzed 251 articles. The number of publications rose over time, and they encompassed most medical disciplines, learning settings, and training levels, totaling 25 different platforms specifically for medical education. We uncovered 4 latent classes for educational software, characteristically making use of multimedia (115/251, 45.8%), text (64/251, 25.5%), Web conferencing (54/251, 21.5%), and instructional design principles (18/251, 7.2%). We found 3 classes for intervention outcomes: knowledge and attitudes (175/212, 82.6%), knowledge, attitudes, and skills (11.8%), and online activity (12/212, 5.7%). About a quarter of the

  2. An examination of problem-based teaching and learning in population genetics and evolution using EVOLVE, a computer simulation

    NASA Astrophysics Data System (ADS)

    Soderberg, Patti; Price, Frank

    2003-01-01

    This study describes a lesson in which students engaged in inquiry in evolutionary biology in order to develop a better understanding of the concepts and reasoning skills necessary to support knowledge claims about changes in the genetic structure of populations, also known as microevolution. This paper describes how a software simulation called EVOLVE can be used to foster discussions about the conceptual knowledge used by advanced secondary or introductory college students when investigating the effects of natural selection on hypothetical populations over time. An experienced professor's use and rationale of a problem-based lesson using the simulation is examined. Examples of student misconceptions and naïve (incomplete) conceptions are described and an analysis of the procedural knowledge for experimenting with the computer model is provided. The results of this case study provide a model of how EVOLVE can be used to engage students in a complex problem-solving experience that encourages student meta-cognitive reflection about their understanding of evolution at the population level. Implications for teaching are provided and ways to improve student learning and problem solving in population genetics are suggested.

  3. Developing Interactive Learning Objects for a Computing Mathematics Module

    ERIC Educational Resources Information Center

    Lim, Cher Ping; Lee, Siew Lie; Richards, Cameron

    2006-01-01

    Based on a case study of the online component of a Computing Mathematics module at a local polytechnic in Singapore, this article provides a descriptive account of the development and employment of interactive learning objects to enhance the learning experiences of the students in the course. The experimented learning objects were branded as…

  4. A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron

    PubMed Central

    Ortín, S.; Soriano, M. C.; Pesquera, L.; Brunner, D.; San-Martín, D.; Fischer, I.; Mirasso, C. R.; Gutiérrez, J. M.

    2015-01-01

    In this paper we present a unified framework for extreme learning machines and reservoir computing (echo state networks), which can be physically implemented using a single nonlinear neuron subject to delayed feedback. The reservoir is built within the delay-line, employing a number of “virtual” neurons. These virtual neurons receive random projections from the input layer containing the information to be processed. One key advantage of this approach is that it can be implemented efficiently in hardware. We show that the reservoir computing implementation, in this case optoelectronic, is also capable to realize extreme learning machines, demonstrating the unified framework for both schemes in software as well as in hardware. PMID:26446303

  5. Computer-Based Training: An Institutional Approach.

    ERIC Educational Resources Information Center

    Barker, Philip; Manji, Karim

    1992-01-01

    Discussion of issues related to computer-assisted learning (CAL) and computer-based training (CBT) describes approaches to electronic learning; principles underlying courseware development to support these approaches; and a plan for creation of a CAL/CBT development center, including its functional role, campus services, staffing, and equipment…

  6. Learning computer science concepts with Scratch

    NASA Astrophysics Data System (ADS)

    Meerbaum-Salant, Orni; Armoni, Michal; (Moti) Ben-Ari, Mordechai

    2013-09-01

    Scratch is a visual programming environment that is widely used by young people. We investigated if Scratch can be used to teach concepts of computer science (CS). We developed learning materials for middle-school students that were designed according to the constructionist philosophy of Scratch and evaluated them in a few schools during two years. Tests were constructed based upon a novel combination of the revised Bloom taxonomy and the Structure of the Observed Learning Outcome taxonomy. These instruments were augmented with qualitative tools, such as observations and interviews. The results showed that students could successfully learn important concepts of CS, although there were problems with some concepts such as repeated execution, variables, and concurrency. We believe that these problems can be overcome by modifications to the teaching process that we suggest.

  7. Computer-enhanced learning in neuroanatomy.

    PubMed

    Tan, C K; Voon, F C; Rajendran, K

    1989-07-01

    The recent development of powerful microcomputers and the introduction of object-oriented programming languages has now made available to educationists software that can be easily used to design and develop computer-based learning material. We have developed courseware and tutorware in the field of neuroanatomy which are pedagogically structured and yet provide multiple paths of learning for the individual student. Neuroanatomy is a difficult subject to learn because of the structural intricacy and functional correlations that it entails. The courseware enables students to approach the subject at different levels of difficulty and progress at their own pace towards a comprehensive understanding of structure and function aided by text integrated with graphics, sound and animation. A significant advantage to authors of similar courseware is the option to update the contents easily when necessary in the future.

  8. A Tutorial for SPSS/PC+ Studentware. Study Guide for the Doctor of Arts in Computer-Based Learning.

    ERIC Educational Resources Information Center

    MacFarland, Thomas W.; Hou, Cheng-I

    The purpose of this tutorial is to provide the basic information needed for success with SPSS/PC+ Studentware, a student version of the statistical analysis software offered by SPSS, Inc., for the IBM PC+ and compatible computers. It is intended as a convenient summary of how to organize and conduct the most common computer-based statistical…

  9. Development and Use of a Computer-Based Interactive Resource for Teaching and Learning Probability in Primary Classrooms

    ERIC Educational Resources Information Center

    Trigueros, Maria; Lozano, Maria Dolores; Lage, Ana Elisa

    2006-01-01

    "Enciclomedia" is a Mexican project for primary school teaching using computers in the classroom. Within this project, and following an enactivist theoretical perspective and methodology, we have designed a computer-based package called "Dados", which, together with teaching guides, is intended to support the teaching and…

  10. Learning an Intermittent Control Strategy for Postural Balancing Using an EMG-Based Human-Computer Interface

    PubMed Central

    Asai, Yoshiyuki; Tateyama, Shota; Nomura, Taishin

    2013-01-01

    It has been considered that the brain stabilizes unstable body dynamics by regulating co-activation levels of antagonist muscles. Here we critically reexamined this established theory of impedance control in a postural balancing task using a novel EMG-based human-computer interface, in which subjects were asked to balance a virtual inverted pendulum using visual feedback information on the pendulum's position. The pendulum was actuated by a pair of antagonist joint torques determined in real-time by activations of the corresponding pair of antagonist ankle muscles of subjects standing upright. This motor-task raises a frustrated environment; a large feedback time delay in the sensorimotor loop, as a source of instability, might favor adopting the non-reactive, preprogrammed impedance control, but the ankle muscles are relatively hard to co-activate, which hinders subjects from adopting the impedance control. This study aimed at discovering how experimental subjects resolved this frustrated environment through motor learning. One third of subjects adapted to the balancing task in a way of the impedance-like control. It was remarkable, however, that the majority of subjects did not adopt the impedance control. Instead, they acquired a smart and energetically efficient strategy, in which two muscles were inactivated simultaneously at a sequence of optimal timings, leading to intermittent appearance of periods of time during which the pendulum was not actively actuated. Characterizations of muscle inactivations and the pendulum¡Çs sway showed that the strategy adopted by those subjects was a type of intermittent control that utilizes a stable manifold of saddle-type unstable upright equilibrium that appeared in the state space of the pendulum when the active actuation was turned off. PMID:23717398

  11. Enhancing Learning through Human Computer Interaction

    ERIC Educational Resources Information Center

    McKay, Elspeth, Ed.

    2007-01-01

    Enhancing Learning Through Human Computer Interaction is an excellent reference source for human computer interaction (HCI) applications and designs. This "Premier Reference Source" provides a complete analysis of online business training programs and e-learning in the higher education sector. It describes a range of positive outcomes for linking…

  12. User-Centered Computer Aided Language Learning

    ERIC Educational Resources Information Center

    Zaphiris, Panayiotis, Ed.; Zacharia, Giorgos, Ed.

    2006-01-01

    In the field of computer aided language learning (CALL), there is a need for emphasizing the importance of the user. "User-Centered Computer Aided Language Learning" presents methodologies, strategies, and design approaches for building interfaces for a user-centered CALL environment, creating a deeper understanding of the opportunities and…

  13. To Guide or Not to Guide: Issues in the Sequencing of Pedagogical Structure in Computational Model-Based Learning

    ERIC Educational Resources Information Center

    Jacobson, Michael J.; Kim, Beaumie; Pathak, Suneeta; Zhang, BaoHui

    2015-01-01

    This research explores issues related to the sequencing of structure that is provided as pedagogical guidance. A study was conducted that involved grade 10 students in Singapore as they learned concepts about electricity using four NetLogo Investigations of Electricity agent-based models. It was found that the low-to-high structure learning…

  14. Transitions between Short-Term and Long-Term Memory in Learning Meaningful Unrelated Paired Associates Using Computer Based Drills.

    ERIC Educational Resources Information Center

    Goldenberg, Tzvika Y.; Turnure, James E.

    1989-01-01

    Discussion of short-term and long-term memory in learning paired associates focuses on two microcomputer-based instructional design experiments with eleventh and twelfth graders that were modeled after traditional drill and practice routines. Research questions are presented, treatment conditions are explained, and additional research is…

  15. Exploring Cloud Computing for Distance Learning

    ERIC Educational Resources Information Center

    He, Wu; Cernusca, Dan; Abdous, M'hammed

    2011-01-01

    The use of distance courses in learning is growing exponentially. To better support faculty and students for teaching and learning, distance learning programs need to constantly innovate and optimize their IT infrastructures. The new IT paradigm called "cloud computing" has the potential to transform the way that IT resources are utilized and…

  16. The Impact of Computational Experiment and Formative Assessment in Inquiry-Based Teaching and Learning Approach in STEM Education

    ERIC Educational Resources Information Center

    Psycharis, Sarantos

    2016-01-01

    In this study, an instructional design model, based on the computational experiment approach, was employed in order to explore the effects of the formative assessment strategies and scientific abilities rubrics on students' engagement in the development of inquiry-based pedagogical scenario. In the following study, rubrics were used during the…

  17. Computer-Based Learning Packages Have a Role, but Care Needs to Be Given as to When They Are Delivered

    ERIC Educational Resources Information Center

    Quinn, Joseph G.; King, Karen; Roberts, David; Carey, Linda; Mousley, Angela

    2009-01-01

    It is compulsory for first year biological science students at Queens University Belfast to complete a range of assessed, laboratory-based practicals in various scientific procedures including dissection. This study investigates student performance and attitudes when they have to complete a traditional dissection and a computer based learning…

  18. Vibrations and Waves: Using Computer Assisted Learning.

    ERIC Educational Resources Information Center

    Cox, M. J.; Lewis, D.

    Described is the development of computer assisted learning packages for nonscience major undergraduate students. The equipment needed to run the packages is described as well as the role and value of the packages. Several examples of the kind of computer graphics used in the computing laboratory are illustrated. The problems associated with the…

  19. Computer Assisted Language Learning. Routledge Studies in Computer Assisted Language Learning

    ERIC Educational Resources Information Center

    Pennington, Martha

    2011-01-01

    Computer-assisted language learning (CALL) is an approach to language teaching and learning in which computer technology is used as an aid to the presentation, reinforcement and assessment of material to be learned, usually including a substantial interactive element. This books provides an up-to date and comprehensive overview of…

  20. Promoting Technology-Assisted Active Learning in Computer Science Education

    ERIC Educational Resources Information Center

    Gao, Jinzhu; Hargis, Jace

    2010-01-01

    This paper describes specific active learning strategies for teaching computer science, integrating both instructional technologies and non-technology-based strategies shown to be effective in the literature. The theoretical learning components addressed include an intentional method to help students build metacognitive abilities, as well as…

  1. Computers, Teaching, and Learning: An Introduction to Computers in Education.

    ERIC Educational Resources Information Center

    Willis, Jerry W.; And Others

    Intended as an action guide, this book focuses on the issues, concepts, and facts relevant to the educator who wants to consider using computers to accomplish learning objectives. A short history of computers emphasizing microcomputers and their use in education is followed by a discussion of current educational uses which includes a more detailed…

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

    ERIC Educational Resources Information Center

    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…

  3. Exploring Taiwanese College Students' Perceptions of Text-Based, Computer-Mediated Communication Technology in Learning Japanese as a Foreign Language

    ERIC Educational Resources Information Center

    Tanaka, Makiko

    2015-01-01

    The use of computers as an educational tool has become very popular in the context of language teaching and learning. Research into computer mediated communication (CMC) in a Japanese as a foreign language (JFL) learning and teaching context can take advantage of various pedagogical possibilities, just as in the English classroom. This study…

  4. Team-Based Learning

    ERIC Educational Resources Information Center

    Michaelsen, Larry K.; Sweet, Michael

    2011-01-01

    Team-based learning (TBL), when properly implemented, includes many, if not all, of the common elements of evidence-based best practices. To explain this, a brief overview of TBL is presented. The authors examine the relationship between the best practices of evidence-based teaching and the principles that constitute team-based learning. (Contains…

  5. Strategizing Computer-Supported Collaborative Learning toward Knowledge Building

    ERIC Educational Resources Information Center

    Mukama, Evode

    2010-01-01

    The purpose of this paper is to explore how university students can develop knowledge in small task-based groups while acquiring hands-on computer skills. Inspired by the sociocultural perspective, this study presents a theoretical framework on co-construction of knowledge and on computer-supported collaborative learning. The participants were…

  6. Computer-Supported Co-operative Learning.

    ERIC Educational Resources Information Center

    Florea, Adina Magda

    1998-01-01

    Discusses the impact of computer-supported cooperative work tools in the creation of educational environments and the facilities such tools bring to teaching methods, and examines the relationship between new techniques and the learner-centered, active learning approach in higher education. The importance of collaborative learning in this context…

  7. Teaching, Learning and Computing: What Teachers Say.

    ERIC Educational Resources Information Center

    Heath, Marilyn; Ravitz, Jason

    This paper examines the results from the "Teaching, Learning and Computing (TLC)" survey (Becker, H.J. & Anderson, R.E., 1998) administered to the "Applying Technology to Restructuring and Learning" (ATRL) project participants. The ATRL project was a five-year project funded by the U.S. Department of Education, Office of…

  8. Teaching Computer Science Courses in Distance Learning

    ERIC Educational Resources Information Center

    Huan, Xiaoli; Shehane, Ronald; Ali, Adel

    2011-01-01

    As the success of distance learning (DL) has driven universities to increase the courses offered online, certain challenges arise when teaching computer science (CS) courses to students who are not physically co-located and have individual learning schedules. Teaching CS courses involves high level demonstrations and interactivity between the…

  9. Learning Style Theory and Computer Mediated Communication.

    ERIC Educational Resources Information Center

    Atkins, Hilary; Moore, David; Sharpe, Simon; Hobbs, Dave

    This paper looks at the low participation rates in computer mediated conferences (CMC) and argues that one of the causes of this may be an incompatibility between students' learning styles and the style adopted by CMC. Curry's Onion Model provides a well-established framework within which to view the main learning style theories (Riding and…

  10. Learning Computer Science: Perceptions, Actions and Roles

    ERIC Educational Resources Information Center

    Berglund, Anders; Eckerdal, Anna; Pears, Arnold; East, Philip; Kinnunen, Paivi; Malmi, Lauri; McCartney, Robert; Mostrom, Jan-Erik; Murphy, Laurie; Ratcliffe, Mark; Schulte, Carsten; Simon, Beth; Stamouli, Ioanna; Thomas, Lynda

    2009-01-01

    This phenomenographic study opens the classroom door to investigate teachers' experiences of students learning difficult computing topics. Three distinct themes are identified and analysed. "Why" do students succeed or fail to learn these concepts? "What" actions do teachers perceive will ameliorate the difficulties facing…

  11. Computer use changes generalization of movement learning.

    PubMed

    Wei, Kunlin; Yan, Xiang; Kong, Gaiqing; Yin, Cong; Zhang, Fan; Wang, Qining; Kording, Konrad Paul

    2014-01-06

    Over the past few decades, one of the most salient lifestyle changes for us has been the use of computers. For many of us, manual interaction with a computer occupies a large portion of our working time. Through neural plasticity, this extensive movement training should change our representation of movements (e.g., [1-3]), just like search engines affect memory [4]. However, how computer use affects motor learning is largely understudied. Additionally, as virtually all participants in studies of perception and actions are computer users, a legitimate question is whether insights from these studies bear the signature of computer-use experience. We compared non-computer users with age- and education-matched computer users in standard motor learning experiments. We found that people learned equally fast but that non-computer users generalized significantly less across space, a difference negated by two weeks of intensive computer training. Our findings suggest that computer-use experience shaped our basic sensorimotor behaviors, and this influence should be considered whenever computer users are recruited as study participants.

  12. Computational approaches to motor learning by imitation.

    PubMed Central

    Schaal, Stefan; Ijspeert, Auke; Billard, Aude

    2003-01-01

    Movement imitation requires a complex set of mechanisms that map an observed movement of a teacher onto one's own movement apparatus. Relevant problems include movement recognition, pose estimation, pose tracking, body correspondence, coordinate transformation from external to egocentric space, matching of observed against previously learned movement, resolution of redundant degrees-of-freedom that are unconstrained by the observation, suitable movement representations for imitation, modularization of motor control, etc. All of these topics by themselves are active research problems in computational and neurobiological sciences, such that their combination into a complete imitation system remains a daunting undertaking-indeed, one could argue that we need to understand the complete perception-action loop. As a strategy to untangle the complexity of imitation, this paper will examine imitation purely from a computational point of view, i.e. we will review statistical and mathematical approaches that have been suggested for tackling parts of the imitation problem, and discuss their merits, disadvantages and underlying principles. Given the focus on action recognition of other contributions in this special issue, this paper will primarily emphasize the motor side of imitation, assuming that a perceptual system has already identified important features of a demonstrated movement and created their corresponding spatial information. Based on the formalization of motor control in terms of control policies and their associated performance criteria, useful taxonomies of imitation learning can be generated that clarify different approaches and future research directions. PMID:12689379

  13. Learning Oceanography from a Computer Simulation Compared with Direct Experience at Sea

    ERIC Educational Resources Information Center

    Winn, William; Stahr, Frederick; Sarason, Christian; Fruland, Ruth; Oppenheimer, Peter; Lee, Yen-Ling

    2006-01-01

    Considerable research has compared how students learn science from computer simulations with how they learn from "traditional" classes. Little research has compared how students learn science from computer simulations with how they learn from direct experience in the real environment on which the simulations are based. This study compared two…

  14. The Impact of Computational Experiment and Formative Assessment in Inquiry-Based Teaching and Learning Approach in STEM Education

    NASA Astrophysics Data System (ADS)

    Psycharis, Sarantos

    2016-04-01

    In this study, an instructional design model, based on the computational experiment approach, was employed in order to explore the effects of the formative assessment strategies and scientific abilities rubrics on students' engagement in the development of inquiry-based pedagogical scenario. In the following study, rubrics were used during the model development, based on prompts provided to students during the development of their models. Our results indicate that modelling is a process that needs sequencing and instructional support, in the form of rubrics, focused on the scientific abilities needed for the inquiry process. In this research, eighty (80) prospective primary school teachers participated, and the results of the research indicate that the development of inquiry-based scenario is strongly affected by the scientific abilities rubrics.

  15. Computer Technology-Infused Learning Enhancement

    ERIC Educational Resources Information Center

    Keengwe, Jared; Anyanwu, Longy O.

    2007-01-01

    The purpose of the study was to determine students' perception of instructional integration of computer technology to improve learning. Two key questions were investigated in this study: (a) What is the students' perception of faculty integration of computer technology into classroom instruction? (b) To what extent does the students' perception of…

  16. Can Computers Help Students to Learn?

    ERIC Educational Resources Information Center

    Masters, Rogers

    1977-01-01

    Discusses an experiment to measure the extent to which computer exercises reinforce student learning in an experimental interdisciplinary course at Dartmouth College. Findings indicated that computer techniques improved test performance. Journal available from Division of Educational Affairs, American Political Science Association, 1527 New…

  17. Computers as a Language Learning Tool.

    ERIC Educational Resources Information Center

    Ruschoff, Bernd

    1984-01-01

    Describes a computer-assisted language learning project at the University of Wuppertal (West Germany). It's hoped that teachers can overcome the two handicaps of the past--lack of teacher awareness of current audio-visual technical aids, as well as unsophisticated computer hardware--both problems by getting the opportunity to familiarize…

  18. Describing Computer-Facilitated Learning Environments in Higher Education.

    ERIC Educational Resources Information Center

    Bain, John D.; McNaught, Carmel; Mills, Colleen; Lueckenhausen, Gillian

    1998-01-01

    Reports research on ways in which university academics design and incorporate computer-facilitated learning (CFL) environments into their courses. The study was based on archive material for 36 externally-funded technology-based projects. Projects were sorted into categories based on educational assumptions and practices, and use of educational…

  19. Reinforcement learning: Computational theory and biological mechanisms.

    PubMed

    Doya, Kenji

    2007-05-01

    Reinforcement learning is a computational framework for an active agent to learn behaviors on the basis of a scalar reward signal. The agent can be an animal, a human, or an artificial system such as a robot or a computer program. The reward can be food, water, money, or whatever measure of the performance of the agent. The theory of reinforcement learning, which was developed in an artificial intelligence community with intuitions from animal learning theory, is now giving a coherent account on the function of the basal ganglia. It now serves as the "common language" in which biologists, engineers, and social scientists can exchange their problems and findings. This article reviews the basic theoretical framework of reinforcement learning and discusses its recent and future contributions toward the understanding of animal behaviors and human decision making.

  20. Computer simulations of learning in neural systems.

    PubMed

    Salu, Y

    1983-04-01

    Recent experiments have shown that, in some cases, strengths of synaptic ties are being modified in learning. However, it is not known what the rules that control those modifications are, especially what determines which synapses will be modified and which will remain unchanged during a learning episode. Two postulated rules that may solve that problem are introduced. To check their effectiveness, the rules are tested in many computer models that simulate learning in neural systems. The simulations demonstrate that, theoretically, the two postulated rules are effective in organizing the synaptic changes. If they are found to also exist in biological systems, these postulated rules may be an important element in the learning process.

  1. The Four Scaffolding Modules for Collaborative Problem-Based Learning through the Computer Network on Moodle LMS for the Computer Programming Course

    ERIC Educational Resources Information Center

    Tiantong, Monchai; Teemuangsai, Sanit

    2013-01-01

    Scaffolding is a learning approach designed to promote a deeper understanding, it is the support given during the learning process which is tailored to the needs of the student with the intention of helping the student achieve the learning goals, including resources, a compelling task, templates and guides, and guidance on the development of…

  2. Computer-based and web-based radiation safety training

    SciTech Connect

    Owen, C., LLNL

    1998-03-01

    The traditional approach to delivering radiation safety training has been to provide a stand-up lecture of the topic, with the possible aid of video, and to repeat the same material periodically. New approaches to meeting training requirements are needed to address the advent of flexible work hours and telecommuting, and to better accommodate individuals learning at their own pace. Computer- based and web-based radiation safety training can provide this alternative. Computer-based and web- based training is an interactive form of learning that the student controls, resulting in enhanced and focused learning at a time most often chosen by the student.

  3. Developing Critical L2 Digital Literacy through the Use of Computer-Based Internet-Hosted Learning Management Systems such as Moodle

    NASA Astrophysics Data System (ADS)

    Meurant, Robert C.

    Second Language (L2) Digital Literacy is of emerging importance within English as a Foreign Language (EFL) in Korea, and will evolve to become regarded as the most critical component of overall L2 English Literacy. Computer-based Internet-hosted Learning Management Systems (LMS), such as the popular open-source Moodle, are rapidly being adopted worldwide for distance education, and are also being applied to blended (hybrid) education. In EFL Education, they have a special potential: by setting the LMS to force English to be used exclusively throughout a course website, the meta-language can be made the target L2 language. Of necessity, students develop the ability to use English to navigate the Internet, access and contribute to online resources, and engage in computer-mediated communication. Through such pragmatic engagement with English, students significantly develop their L2 Digital Literacy.

  4. Agent Based Computing Machine

    DTIC Science & Technology

    2005-12-09

    coordinates as in cellular automata systems. But using biology as a model suggests that the most general systems must provide for partial, but constrained...17. SECURITY CLASSIFICATION OF 118. SECURITY CLASSIFICATION OF 19. SECURITY CLASSIFICATION OF 20. LIMITATION OF ABSTRA REPORT THIS PAGE ABSTRACT...system called an "agent based computing" machine (ABC Machine). The ABC Machine is motivated by cellular biochemistry and it is based upon a concept

  5. Animated pedagogical agents: How the presence and nonverbal communication of a virtual instructor affect perceptions and learning outcomes in a computer-based environment about basic physics concepts

    NASA Astrophysics Data System (ADS)

    Frechette, M. Casey

    One important but under-researched area of instructional technology concerns the effects of animated pedagogical agents (APAs), or lifelike characters designed to enhance learning in computer-based environments. This research sought to broaden what is currently known about APAs' instructional value by investigating the effects of agents' visual presence and nonverbal communication. A theoretical framework based on APA literature published in the past decade guided the design of the study. This framework sets forth that APAs impact learning through their presence and communication. The communication displayed by an APA involves two distinct kinds of nonverbal cues: cognitive (hand and arm gestures) and affective (facial expressions). It was predicted that the presence of an agent would enhance learning and that nonverbal communication would amplify these effects. The research utilized a between-subjects experimental design. Participants were randomly assigned to treatment conditions in a controlled lab setting, and group means were compared with a MANCOVA. Participants received (1) a non-animated agent, (2) an agent with hand and arm gestures, (3) an agent with facial expressions, or (4) a fully animated agent. The agent appeared in a virtual learning environment focused on Kepler's laws of planetary motion. A control group did not receive the visual presence of an agent. Two effects were studied: participants' perceptions and their learning outcomes. Perceptions were measured with an attitudinal survey with five subscales. Learning outcomes were measured with an open-ended recall test, a multiple choice comprehension test, and an open-ended transfer test. Learners presented with an agent with affective nonverbal communication comprehended less than learners exposed to a non-animated agent. No significant differences were observed when a group exposed to a fully animated agent was compared to a group with a non-animated agent. Adding both nonverbal communication

  6. Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model.

    PubMed

    Baldassarre, Gianluca; Mannella, Francesco; Fiore, Vincenzo G; Redgrave, Peter; Gurney, Kevin; Mirolli, Marco

    2013-05-01

    Reinforcement (trial-and-error) learning in animals is driven by a multitude of processes. Most animals have evolved several sophisticated systems of 'extrinsic motivations' (EMs) that guide them to acquire behaviours allowing them to maintain their bodies, defend against threat, and reproduce. Animals have also evolved various systems of 'intrinsic motivations' (IMs) that allow them to acquire actions in the absence of extrinsic rewards. These actions are used later to pursue such rewards when they become available. Intrinsic motivations have been studied in Psychology for many decades and their biological substrates are now being elucidated by neuroscientists. In the last two decades, investigators in computational modelling, robotics and machine learning have proposed various mechanisms that capture certain aspects of IMs. However, we still lack models of IMs that attempt to integrate all key aspects of intrinsically motivated learning and behaviour while taking into account the relevant neurobiological constraints. This paper proposes a bio-constrained system-level model that contributes a major step towards this integration. The model focusses on three processes related to IMs and on the neural mechanisms underlying them: (a) the acquisition of action-outcome associations (internal models of the agent-environment interaction) driven by phasic dopamine signals caused by sudden, unexpected changes in the environment; (b) the transient focussing of visual gaze and actions on salient portions of the environment; (c) the subsequent recall of actions to pursue extrinsic rewards based on goal-directed reactivation of the representations of their outcomes. The tests of the model, including a series of selective lesions, show how the focussing processes lead to a faster learning of action-outcome associations, and how these associations can be recruited for accomplishing goal-directed behaviours. The model, together with the background knowledge reviewed in the paper

  7. Learning about Earthquakes: Getting Serious about Authenticity in Computer-Supported Learning

    ERIC Educational Resources Information Center

    Baloian, Nelson; Pino, Jose A.; Hardings, Jens

    2011-01-01

    The discovery or re-construction of scientific explanations and understanding based on experience is a complex process, for which school learning often uses shortcuts. On the basis of the example of analyzing real seismic measurements, we propose a computer-facilitated collaborative learning scenario which meets many of the requirements for…

  8. Liminal Spaces and Learning Computing

    ERIC Educational Resources Information Center

    McCartney, Robert; Boustedt, Jonas; Eckerdal, Anna; Mostrom, Jan Erik; Sanders, Kate; Thomas, Lynda; Zander, Carol

    2009-01-01

    "Threshold concepts" are concepts that, among other things, transform the way a student looks at a discipline. Although the term "threshold" might suggest that the transformation occurs at a specific point in time, an "aha" moment, it seems more common (at least in computing) that a longer time period is required.…

  9. Learning Computers Inside-Out.

    ERIC Educational Resources Information Center

    Angel, N. Faye

    1994-01-01

    Describes an activity for elementary school students that allows them to manipulate computer hardware. College students volunteered as trainers; and two workstations were used, one to teach students how to attach peripheral devices (e.g., keyboard, monitor, and printer) and one to teach how to remove a disk drive and the controller card. (LRW)

  10. The Effects of Different Computer-Supported Collaboration Scripts on Students' Learning Processes and Outcome in a Simulation-Based Collaborative Learning Environment

    ERIC Educational Resources Information Center

    Wieland, Kristina

    2010-01-01

    Students benefit from collaborative learning activities, but they do not automatically reach desired learning outcomes when working together (Fischer, Kollar, Mandl, & Haake, 2007; King, 2007). Learners need instructional support to increase the quality of collaborative processes and individual learning outcomes. The core challenge is to find…

  11. Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics

    PubMed Central

    Pfeifer, Nico; Leinenbach, Andreas; Huber, Christian G; Kohlbacher, Oliver

    2007-01-01

    Background High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination with database searching algorithms. A major problem with existing methods lies within the significant number of false positive and false negative annotations. So far, standard algorithms for protein identification do not use the information gained from separation processes usually involved in peptide analysis, such as retention time information, which are readily available from chromatographic separation of the sample. Identification can thus be improved by comparing measured retention times to predicted retention times. Current prediction models are derived from a set of measured test analytes but they usually require large amounts of training data. Results We introduce a new kernel function which can be applied in combination with support vector machines to a wide range of computational proteomics problems. We show the performance of this new approach by applying it to the prediction of peptide adsorption/elution behavior in strong anion-exchange solid-phase extraction (SAX-SPE) and ion-pair reversed-phase high-performance liquid chromatography (IP-RP-HPLC). Furthermore, the predicted retention times are used to improve spectrum identifications by a p-value-based filtering approach. The approach was tested on a number of different datasets and shows excellent performance while requiring only very small training sets (about 40 peptides instead of thousands). Using the retention time predictor in our retention time filter improves the fraction of correctly identified peptide mass spectra significantly. Conclusion The proposed kernel function is well-suited for the prediction of chromatographic separation in computational proteomics and requires only a limited amount of training data. The performance of this new method is demonstrated by applying it to peptide retention time prediction in IP

  12. Evaluating Computer-Based Simulations, Multimedia and Animations that Help Integrate Blended Learning with Lectures in First Year Statistics

    ERIC Educational Resources Information Center

    Neumann, David L.; Neumann, Michelle M.; Hood, Michelle

    2011-01-01

    The discipline of statistics seems well suited to the integration of technology in a lecture as a means to enhance student learning and engagement. Technology can be used to simulate statistical concepts, create interactive learning exercises, and illustrate real world applications of statistics. The present study aimed to better understand the…

  13. Problem-Based Learning

    ERIC Educational Resources Information Center

    Allen, Deborah E.; Donham, Richard S.; Bernhardt, Stephen A.

    2011-01-01

    In problem-based learning (PBL), students working in collaborative groups learn by resolving complex, realistic problems under the guidance of faculty. There is some evidence of PBL effectiveness in medical school settings where it began, and there are numerous accounts of PBL implementation in various undergraduate contexts, replete with…

  14. Learning Computers, Speaking English: Cooperative Activities for Learning English and Basic Word Processing.

    ERIC Educational Resources Information Center

    Quann, Steve; Satin, Diana

    This textbook leads high-beginning and intermediate English-as-a-Second-Language (ESL) students through cooperative computer-based activities that combine language learning with training in basic computer skills and word processing. Each unit concentrates on a basic concept of word processing while also focusing on a grammar topic. Skills are…

  15. Topics in Computational Learning Theory and Graph Algorithms.

    ERIC Educational Resources Information Center

    Board, Raymond Acton

    This thesis addresses problems from two areas of theoretical computer science. The first area is that of computational learning theory, which is the study of the phenomenon of concept learning using formal mathematical models. The goal of computational learning theory is to investigate learning in a rigorous manner through the use of techniques…

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

    PubMed

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

    2017-01-01

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

  17. Using computer-assisted learning to engage diverse learning styles in understanding business management principles

    PubMed Central

    Frost, Mary E.; Derby, Dustin C.; Haan, Andrea G.

    2013-01-01

    Objective Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear. PMID:24087903

  18. Using computer-assisted learning to engage diverse learning styles in understanding business management principles.

    PubMed

    Frost, Mary E; Derby, Dustin C; Haan, Andrea G

    2013-01-01

    Objective : Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods : Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results : Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion : While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear.

  19. Using computer-assisted learning to engage diverse learning styles in understanding business management principles.

    PubMed

    Frost, Mary E; Derby, Dustin C; Haan, Andrea G

    2013-06-27

    Objective : Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods : Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results : Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion : While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear.

  20. Computer-Assisted Language Learning Authoring Issues

    ERIC Educational Resources Information Center

    Otto, Sue E. K.; Pusack, James P.

    2009-01-01

    Computer-assisted language learning (CALL) authoring refers to a wide variety of creative development activities using software tools that run the gamut from simple templates (easy-to-use predefined forms into which content is typed) to complex authoring environments (flexible but harder-to-use systems, requiring advanced skills and a great deal…

  1. Advances in Computer-Supported Learning

    ERIC Educational Resources Information Center

    Neto, Francisco; Brasileiro, Francisco

    2007-01-01

    The Internet and growth of computer networks have eliminated geographic barriers, creating an environment where education can be brought to a student no matter where that student may be. The success of distance learning programs and the availability of many Web-supported applications and multimedia resources have increased the effectiveness of…

  2. Learning Computer Science Concepts with Scratch

    ERIC Educational Resources Information Center

    Meerbaum-Salant, Orni; Armoni, Michal; Ben-Ari, Mordechai

    2013-01-01

    Scratch is a visual programming environment that is widely used by young people. We investigated if Scratch can be used to teach concepts of computer science (CS). We developed learning materials for middle-school students that were designed according to the constructionist philosophy of Scratch and evaluated them in a few schools during two…

  3. Instructional Design in Computer Mediated Learning.

    ERIC Educational Resources Information Center

    Bull, Kay Sather; Kimball, Sarah Leigh; Stansberry, Susan

    This paper outlines assumptions and principles related to computer mediated learning (CML) and suggests instructional design and classroom strategies for CML planning and practice. The pedagogy of control is contrasted with the pedagogy of choice and the latter constructivist viewpoint is recommended as the basis of CML. Assumptions about learning…

  4. Computer Aided Learning of Mathematics: Software Evaluation

    ERIC Educational Resources Information Center

    Yushau, B.; Bokhari, M. A.; Wessels, D. C. J.

    2004-01-01

    Computer Aided Learning of Mathematics (CALM) has been in use for some time in the Prep-Year Mathematics Program at King Fahd University of Petroleum & Minerals. Different kinds of software (both locally designed and imported) have been used in the quest of optimizing the recitation/problem session hour of the mathematics classes. This paper…

  5. AFE base flow computations

    NASA Technical Reports Server (NTRS)

    Venkatapathy, Ethiraj; Prabhu, Dinesh K.; Palmer, Grant

    1991-01-01

    Hypersonic wake flows behind the Aeroassist Flight Experiment (AFE) geometry are analyzed using two Navier-Stokes flow solvers. Many of the AFE wake features observed in ballistic-range shadowgraphs are simulated using a simple, two-dimensional semicylinder geometry at moderate angles of attack. At free-stream conditions corresponding to a Hypersonic Free Flight Facility (HFFF) AFE experiment, the three-dimensional base flow for the AFE geometry is computed using an ideal-gas, Navier-Stokes solver. The computed results agree reasonably well with the shadowgraphs taken at the HFFF. An ideal-gas and a nonequilibrium Navier-Stokes solver have been coupled and applied to the complete flow around the AFE vehicle at the free-stream conditions corresponding to a nomial trajectory point. Limitations of the coupled ideal-gas and nonequilibrium solution are discussed. The nonequilibrium base flow solution is analyzed for the wake radiation and the radiation profiles along various lines of sight are compared. Finally, the wake unsteadiness is predicted using experimental correlations and the numerical solutions. An adaptive grid code, SAGE, has been used in all the simulations to enhance the solution accuracy. The grid adaptation is found to be necessary in obtaining base flow solutions with accurate flow features.

  6. Inquiry-Based Learning of Molecular Phylogenetics

    ERIC Educational Resources Information Center

    Campo, Daniel; Garcia-Vazquez, Eva

    2008-01-01

    Reconstructing phylogenies from nucleotide sequences is a challenge for students because it strongly depends on evolutionary models and computer tools that are frequently updated. We present here an inquiry-based course aimed at learning how to trace a phylogeny based on sequences existing in public databases. Computer tools are freely available…

  7. Understanding biological computation: reliable learning and recognition.

    PubMed Central

    Hogg, T; Huberman, B A

    1984-01-01

    We experimentally examine the consequences of the hypothesis that the brain operates reliably, even though individual components may intermittently fail, by computing with dynamical attractors. Specifically, such a mechanism exploits dynamic collective behavior of a system with attractive fixed points in its phase space. In contrast to the usual methods of reliable computation involving a large number of redundant elements, this technique of self-repair only requires collective computation with a few units, and it is amenable to quantitative investigation. Experiments on parallel computing arrays show that this mechanism leads naturally to rapid self-repair, adaptation to the environment, recognition and discrimination of fuzzy inputs, and conditional learning, properties that are commonly associated with biological computation. PMID:6593731

  8. a Radical Collaborative Approach: Developing a Model for Learning Theory, Human-Based Computation and Participant Motivation in a Rock-Art Heritage Application

    NASA Astrophysics Data System (ADS)

    Haubt, R.

    2016-06-01

    This paper explores a Radical Collaborative Approach in the global and centralized Rock-Art Database project to find new ways to look at rock-art by making information more accessible and more visible through public contributions. It looks at rock-art through the Key Performance Indicator (KPI), identified with the latest Australian State of the Environment Reports to help develop a better understanding of rock-art within a broader Cultural and Indigenous Heritage context. Using a practice-led approach the project develops a conceptual collaborative model that is deployed within the RADB Management System. Exploring learning theory, human-based computation and participant motivation the paper develops a procedure for deploying collaborative functions within the interface design of the RADB Management System. The paper presents the results of the collaborative model implementation and discusses considerations for the next iteration of the RADB Universe within an Agile Development Approach.

  9. Minimizing inter-subject variability in fNIRS-based brain-computer interfaces via multiple-kernel support vector learning.

    PubMed

    Abibullaev, Berdakh; An, Jinung; Jin, Sang-Hyeon; Lee, Seung Hyun; Moon, Jeon Il

    2013-12-01

    Brain signal variation across different subjects and sessions significantly impairs the accuracy of most brain-computer interface (BCI) systems. Herein, we present a classification algorithm that minimizes such variation, using linear programming support-vector machines (LP-SVM) and their extension to multiple kernel learning methods. The minimization is based on the decision boundaries formed in classifiers' feature spaces and their relation to BCI variation. Specifically, we estimate subject/session-invariant features in the reproducing kernel Hilbert spaces (RKHS) induced with Gaussian kernels. The idea is to construct multiple subject/session-dependent RKHS and to perform classification with LP-SVMs. To evaluate the performance of the algorithm, we applied it to oxy-hemoglobin data sets acquired from eight sessions and seven subjects as they performed two different mental tasks. Results show that our classifiers maintain good performance when applied to random patterns across varying sessions/subjects.

  10. Learning with Interactive Computer Graphics in the Undergraduate Neuroscience Classroom

    ERIC Educational Resources Information Center

    Pani, John R.; Chariker, Julia H.; Naaz, Farah; Mattingly, William; Roberts, Joshua; Sephton, Sandra E.

    2014-01-01

    Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of…

  11. Engineering Students' Use of Computer Assisted Learning (CAL)

    ERIC Educational Resources Information Center

    Huczynski, Andrzej; Johnston, Scott Paul

    2005-01-01

    This study examines the use of Computer Assisted Learning (CAL) by undergraduate engineering students studying a business and management course. Discussing both the relationship between management and engineering and CAL applied to engineering education, this study is based on a survey of 82 undergraduates and adopts a quantitative research…

  12. Enhancing Instruction through Constructivism, Cooperative Learning, and Cloud Computing

    ERIC Educational Resources Information Center

    Denton, David W.

    2012-01-01

    Cloud computing technologies, such as Google Docs and Microsoft Office Live, have the potential to enhance instructional methods predicated on constructivism and cooperative learning. Cloud-based application features like file sharing and online publishing are prompting departments of education across the nation to adopt these technologies.…

  13. Computational Modelling and Simulation Fostering New Approaches in Learning Probability

    ERIC Educational Resources Information Center

    Kuhn, Markus; Hoppe, Ulrich; Lingnau, Andreas; Wichmann, Astrid

    2006-01-01

    Discovery learning in mathematics in the domain of probability based on hands-on experiments is normally limited because of the difficulty in providing sufficient materials and data volume in terms of repetitions of the experiments. Our cooperative, computational modelling and simulation environment engages students and teachers in composing and…

  14. Computer-Guided Diagnosis of Learning Disabilities: A Prototype.

    ERIC Educational Resources Information Center

    Colbourn, Marlene Jones

    A computer based diagnostic system to assist educators in the assessment of learning disabled children aged 8 to 10 years in the area of reading is described and evaluated. The system is intended to guide the diagnosis of reading problems through step by step analysis of available data and requests for additional data. The system provides a…

  15. Memory Reconsolidation and Computational Learning

    DTIC Science & Technology

    2010-03-01

    Cooper and H.T. Siegelmann, "Memory Reconsolidation for Natural Language Processing," Cognitive Neurodynamics , 3, 2009: 365-372. M.M. Olsen, N...computerized memories and other state of the art cognitive architectures, our memory system has the ability to process on-line and in real-time as...on both continuous and binary inputs, unlike state of the art methods in case based reasoning and in cognitive architectures, which are bound to

  16. An Empirical Examination of EFL Learners' Perceptual Learning Styles and Acceptance of ASR-Based Computer-Assisted Pronunciation Training

    ERIC Educational Resources Information Center

    Hsu, Liwei

    2016-01-01

    This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…

  17. From Information Searching to Learning: A Comparison of Contrasting Hypertextual Menu Designs for Computer-Based Instructional Documents.

    ERIC Educational Resources Information Center

    Lai, Yee-Rong; Waugh, Michael L.

    This study examined the influence of three different combinations of document structures and menu designs on users' attitude, performance, and learning in five different search tasks. The three types of combinations studied were: (1) an explicit menu signaling hierarchical structure where cross-referencing was not supported (EXH--explicit and…

  18. Accelerating Decoding-Related Skills in Poor Readers Learning a Foreign Language: A Computer-Based Intervention

    ERIC Educational Resources Information Center

    Björn, Piia Maria; Leppänen, Paavo H. T.

    2013-01-01

    The results of Fast ForWord® training on English decoding-related skills were examined. Finnish fifth-grade students were identified as having reading fluency problems and poor skills in English as a foreign language learned at school and were randomly assigned to either a training group (TRG) or a control group. The TRG ("n"?=?13)…

  19. Assessing the Roles of Student Engagement and Academic Emotions within Middle School Computer- Based Learning in College-Going Pathways

    ERIC Educational Resources Information Center

    San Pedro, Maria Ofelia Z.

    2015-01-01

    This dissertation research focuses on assessing student behavior, academic emotions, and knowledge from a middle school online learning environment, and analyzing their potential effects on decisions about going to college. Using students' longitudinal data ranging from their middle school, to high school, to postsecondary years, I leverage…

  20. The Effects of Visual and Verbal Coding Mnemonics on Learning Chinese Characters in Computer-Based Instruction

    ERIC Educational Resources Information Center

    Kuo, Mei-Liang Amy; Hooper, Simon

    2004-01-01

    The effects of different approaches to learning Chinese characters were investigated. Ninety-two high-school students were randomly assigned to one of five treatment groups: translation, verbal mnemonics, visual mnemonics, dual coding mnemonics, or self-generated mnemonics. All groups received instruction and completed posttests in a…

  1. Shifting Contexts: Investigating the Role of Context in the Use of Ubiquitous Computing for Design-Based Learning

    ERIC Educational Resources Information Center

    Willis, Katharine S.; Corino, Gianni

    2014-01-01

    In design teaching ubiquitous technologies can offer new ways of situating learning within real world experiences. Yet they require new types of knowledge; both an understanding of how to work with the technology and also an understanding of how to use the technologies to respond to changing contexts such as the place and the people. We sought to…

  2. Computer-Based Learning in a Primary School: Differences between the Early and Later Years of Primary Schooling

    ERIC Educational Resources Information Center

    Dwyer, Joanne

    2007-01-01

    There have been increasing expectations that all primary school students and teachers actively use information and communications technologies (ICT) in their learning. In order to achieve this it is important that appropriate environments are set up to support the varying needs and potential of the different groups within the school context.…

  3. Enhancing Learning in Introductory Computer Science Courses through SCALE: An Empirical Study

    ERIC Educational Resources Information Center

    Verginis, I.; Gogoulou, A.; Gouli, E.; Boubouka, M.; Grigoriadou, M.

    2011-01-01

    The work presented in this paper aims to support and promote the learning process in introductory computer science courses through the Web-based, adaptive, activity-oriented learning environment known as Supporting Collaboration and Adaptation in a Learning Environment (SCALE). The environment engages students actively in the learning process and…

  4. Gradient Learning Algorithms for Ontology Computing

    PubMed Central

    Gao, Wei; Zhu, Linli

    2014-01-01

    The gradient learning model has been raising great attention in view of its promising perspectives for applications in statistics, data dimensionality reducing, and other specific fields. In this paper, we raise a new gradient learning model for ontology similarity measuring and ontology mapping in multidividing setting. The sample error in this setting is given by virtue of the hypothesis space and the trick of ontology dividing operator. Finally, two experiments presented on plant and humanoid robotics field verify the efficiency of the new computation model for ontology similarity measure and ontology mapping applications in multidividing setting. PMID:25530752

  5. LUCID: A New Model for Computer-Assisted Learning

    NASA Astrophysics Data System (ADS)

    Wolfskill, Troy; Hanson, David

    2001-10-01

    We have developed computer-based activities for two semesters of introductory or general chemistry that are designed to promote student engagement in the learning process. Although this work was undertaken to enhance collaborative learning in process workshops, the activities contain features that are suitable for use in a variety of teaching and learning contexts. These features include interactive models coupled to critical thinking questions, instant multilevel feedback for exercises and problems, network reporting with utilities for peer assessment, and performance distributions for self-assessment. While the design of these activities is sufficiently general to be employed in a text-based format, student assessments reveal that computers provide significant enhancements to the workshop environment.

  6. Theories of Learning and Computer-Mediated Instructional Technologies.

    ERIC Educational Resources Information Center

    Hung, David

    2001-01-01

    Describes four major models of learning: behaviorism, cognitivism, constructivism, and social constructivism. Discusses situated cognition; differences between learning theories and instructional approaches; and how computer-mediated technologies can be integrated with learning theories. (LRW)

  7. Computer-Game-Based Tutoring of Mathematics

    ERIC Educational Resources Information Center

    Ke, Fengfeng

    2013-01-01

    This in-situ, descriptive case study examined the potential of implementing computer mathematics games as an anchor for tutoring of mathematics. Data were collected from middle school students at a rural pueblo school and an urban Hispanic-serving school, through in-field observation, content analysis of game-based tutoring-learning interactions,…

  8. Computer Programming: Fail Fast to Learn Sooner

    NASA Astrophysics Data System (ADS)

    Brito, Miguel A.; de Sá-Soares, Filipe

    Computer programming is not only to know about the languages or the processes, it is essentially to know how to do it. This involves a constructivist approach in learning. For a newbie in computer programming it is hard to understand the difference between know-about disciplines and the know-how-to-do-it ones. This leads to failure because when they understand they aren't able to solve a programming problem it is usually too late to catch all the time meanwhile lost. Our solution is to get them to fail soon enough. This way they still have time to recover from an eventually bad start.

  9. Reinforcement learning in depression: A review of computational research.

    PubMed

    Chen, Chong; Takahashi, Taiki; Nakagawa, Shin; Inoue, Takeshi; Kusumi, Ichiro

    2015-08-01

    Despite being considered primarily a mood disorder, major depressive disorder (MDD) is characterized by cognitive and decision making deficits. Recent research has employed computational models of reinforcement learning (RL) to address these deficits. The computational approach has the advantage in making explicit predictions about learning and behavior, specifying the process parameters of RL, differentiating between model-free and model-based RL, and the computational model-based functional magnetic resonance imaging and electroencephalography. With these merits there has been an emerging field of computational psychiatry and here we review specific studies that focused on MDD. Considerable evidence suggests that MDD is associated with impaired brain signals of reward prediction error and expected value ('wanting'), decreased reward sensitivity ('liking') and/or learning (be it model-free or model-based), etc., although the causality remains unclear. These parameters may serve as valuable intermediate phenotypes of MDD, linking general clinical symptoms to underlying molecular dysfunctions. We believe future computational research at clinical, systems, and cellular/molecular/genetic levels will propel us toward a better understanding of the disease.

  10. A Cross-Cultural Study of Self-Regulated Learning in a Computer-Supported Collaborative Learning Environment

    ERIC Educational Resources Information Center

    Shi, Yongchao; Frederiksen, Carl H.; Muis, Krista R.

    2013-01-01

    Self-regulated learning (SRL) actions of 30 Canadian and 30 Chinese university students were studied in a face-to-face problem-based learning environment. Participants were randomly assigned to work in dyads consisting of Chinese, Canadian, or mixed Chinese-Canadian pairs to learn Analysis of Variance collaboratively using a computer coach. Dialog…

  11. Seven Affordances of Computer-Supported Collaborative Learning: How to Support Collaborative Learning? How Can Technologies Help?

    ERIC Educational Resources Information Center

    Jeong, Heisawn; Hmelo-Silver, Cindy E.

    2016-01-01

    This article proposes 7 core affordances of technology for collaborative learning based on theories of collaborative learning and CSCL (Computer-Supported Collaborative Learning) practices. Technology affords learner opportunities to (1) engage in a joint task, (2) communicate, (3) share resources, (4) engage in productive collaborative learning…

  12. Computational neurorehabilitation: modeling plasticity and learning to predict recovery.

    PubMed

    Reinkensmeyer, David J; Burdet, Etienne; Casadio, Maura; Krakauer, John W; Kwakkel, Gert; Lang, Catherine E; Swinnen, Stephan P; Ward, Nick S; Schweighofer, Nicolas

    2016-04-30

    Despite progress in using computational approaches to inform medicine and neuroscience in the last 30 years, there have been few attempts to model the mechanisms underlying sensorimotor rehabilitation. We argue that a fundamental understanding of neurologic recovery, and as a result accurate predictions at the individual level, will be facilitated by developing computational models of the salient neural processes, including plasticity and learning systems of the brain, and integrating them into a context specific to rehabilitation. Here, we therefore discuss Computational Neurorehabilitation, a newly emerging field aimed at modeling plasticity and motor learning to understand and improve movement recovery of individuals with neurologic impairment. We first explain how the emergence of robotics and wearable sensors for rehabilitation is providing data that make development and testing of such models increasingly feasible. We then review key aspects of plasticity and motor learning that such models will incorporate. We proceed by discussing how computational neurorehabilitation models relate to the current benchmark in rehabilitation modeling - regression-based, prognostic modeling. We then critically discuss the first computational neurorehabilitation models, which have primarily focused on modeling rehabilitation of the upper extremity after stroke, and show how even simple models have produced novel ideas for future investigation. Finally, we conclude with key directions for future research, anticipating that soon we will see the emergence of mechanistic models of motor recovery that are informed by clinical imaging results and driven by the actual movement content of rehabilitation therapy as well as wearable sensor-based records of daily activity.

  13. Game-Informed Learning: Applying Computer Game Processes to Higher Education

    ERIC Educational Resources Information Center

    Begg, Michael; Dewhurst, David; Macleod, Hamish

    2005-01-01

    The term "game-based learning" has emerged as a general name for the use of computer games in education. Despite early work showing rich inferential learning taking place as a result of gameplay, most game-based learning has been geared towards using a game as a host into which curricular content can be embedded. This approach can be problematic,…

  14. A Cross-Cultural Study of the Effect of a Graph-Oriented Computer-Assisted Project-Based Learning Environment on Middle School Students' Science Knowledge and Argumentation Skills

    ERIC Educational Resources Information Center

    Hsu, P.-S.; Van Dyke, M.; Chen, Y.; Smith, T. J.

    2016-01-01

    The purpose of this mixed-methods study was to explore how seventh graders in a suburban school in the United States and sixth graders in an urban school in Taiwan developed argumentation skills and science knowledge in a project-based learning environment that incorporated a graph-oriented, computer-assisted application (GOCAA). A total of 42…

  15. A Summative Evaluation of the Effectiveness of Classroom-Embedded, Individualistic, Computer-Based Learning for Middle School Students Placed at Academic Risk in Schools with a High Proportion of Title I Eligible Students

    ERIC Educational Resources Information Center

    DeLoach, Regina M.

    2011-01-01

    The purpose of this "post hoc," summative evaluation was to evaluate the effectiveness of classroom-embedded, individualistic, computer-based learning for middle school students placed at academic risk in schools with a high proportion of Title I eligible students. Data were mined from existing school district databases. For data (n = 393)…

  16. Concept-Based Learning

    ERIC Educational Resources Information Center

    Schill, Bethany; Howell, Linda

    2011-01-01

    A major part of developing concept-based instruction is the use of an overarching idea to provide a conceptual lens through which students view the content of a particular subject. By using a conceptual lens to focus learning, students think at a much deeper level about the content and its facts (Erickson 2007). Therefore, the authors collaborated…

  17. Computer-Based Interaction Analysis with DEGREE Revisited

    ERIC Educational Resources Information Center

    Barros, B.; Verdejo, M. F.

    2016-01-01

    We review our research with "DEGREE" and analyse how our work has impacted the collaborative learning community since 2000. Our research is framed within the context of computer-based interaction analysis and the development of computer-supported collaborative learning (CSCL) tools. We identify some aspects of our work which have been…

  18. The Relative Effectiveness of Computer-Based and Traditional Resources for Education in Anatomy

    ERIC Educational Resources Information Center

    Khot, Zaid; Quinlan, Kaitlyn; Norman, Geoffrey R.; Wainman, Bruce

    2013-01-01

    There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic…

  19. Maze learning by a hybrid brain-computer system.

    PubMed

    Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

    2016-09-13

    The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

  20. Maze learning by a hybrid brain-computer system

    NASA Astrophysics Data System (ADS)

    Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

    2016-09-01

    The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

  1. Maze learning by a hybrid brain-computer system

    PubMed Central

    Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

    2016-01-01

    The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation. PMID:27619326

  2. A machine-learning approach for computation of fractional flow reserve from coronary computed tomography.

    PubMed

    Itu, Lucian; Rapaka, Saikiran; Passerini, Tiziano; Georgescu, Bogdan; Schwemmer, Chris; Schoebinger, Max; Flohr, Thomas; Sharma, Puneet; Comaniciu, Dorin

    2016-07-01

    Fractional flow reserve (FFR) is a functional index quantifying the severity of coronary artery lesions and is clinically obtained using an invasive, catheter-based measurement. Recently, physics-based models have shown great promise in being able to noninvasively estimate FFR from patient-specific anatomical information, e.g., obtained from computed tomography scans of the heart and the coronary arteries. However, these models have high computational demand, limiting their clinical adoption. In this paper, we present a machine-learning-based model for predicting FFR as an alternative to physics-based approaches. The model is trained on a large database of synthetically generated coronary anatomies, where the target values are computed using the physics-based model. The trained model predicts FFR at each point along the centerline of the coronary tree, and its performance was assessed by comparing the predictions against physics-based computations and against invasively measured FFR for 87 patients and 125 lesions in total. Correlation between machine-learning and physics-based predictions was excellent (0.9994, P < 0.001), and no systematic bias was found in Bland-Altman analysis: mean difference was -0.00081 ± 0.0039. Invasive FFR ≤ 0.80 was found in 38 lesions out of 125 and was predicted by the machine-learning algorithm with a sensitivity of 81.6%, a specificity of 83.9%, and an accuracy of 83.2%. The correlation was 0.729 (P < 0.001). Compared with the physics-based computation, average execution time was reduced by more than 80 times, leading to near real-time assessment of FFR. Average execution time went down from 196.3 ± 78.5 s for the CFD model to ∼2.4 ± 0.44 s for the machine-learning model on a workstation with 3.4-GHz Intel i7 8-core processor.

  3. Immersive, Interactive, Web-Enabled Computer Simulation as a Trigger for Learning: The next Generation of Problem-Based Learning in Educational Leadership

    ERIC Educational Resources Information Center

    Mann, Dale; Reardon, R. M.; Becker, J. D.; Shakeshaft, C.; Bacon, Nicholas

    2011-01-01

    This paper describes the use of advanced computer technology in an innovative educational leadership program. This program integrates full-motion video scenarios that simulate the leadership challenges typically faced by principals over the course of a full school year. These scenarios require decisions that are then coupled to consequences and…

  4. Interpreting concept learning in cognitive informatics and granular computing.

    PubMed

    Yao, Yiyu

    2009-08-01

    Cognitive informatics and granular computing are two emerging fields of study concerning information and knowledge processing. A central notion to this processing is information and knowledge granularity. Concepts, as the basic units of thought underlying human intelligence and communication, may play a fundamental role when integrating the results from the two fields in terms of information and knowledge coding, representation, communication, and processing. While cognitive informatics focuses on information processing in the abstract, in machines, and in the brain, granular computing models such processing at multiple levels of granularity. In this paper, we examine a conceptual framework for concept learning from the viewpoints of cognitive informatics and granular computing. Within the framework, we interpret concept learning based on a layered model of knowledge discovery.

  5. Pen-based computers: Computers without keys

    NASA Technical Reports Server (NTRS)

    Conklin, Cheryl L.

    1994-01-01

    The National Space Transportation System (NSTS) is comprised of many diverse and highly complex systems incorporating the latest technologies. Data collection associated with ground processing of the various Space Shuttle system elements is extremely challenging due to the many separate processing locations where data is generated. This presents a significant problem when the timely collection, transfer, collation, and storage of data is required. This paper describes how new technology, referred to as Pen-Based computers, is being used to transform the data collection process at Kennedy Space Center (KSC). Pen-Based computers have streamlined procedures, increased data accuracy, and now provide more complete information than previous methods. The end results is the elimination of Shuttle processing delays associated with data deficiencies.

  6. The Intersection of Community-Based Writing and Computer-Based Writing: A Cyberliteracy Case Study.

    ERIC Educational Resources Information Center

    Gabor, Catherine

    The learning goals that inform service learning as a whole can contribute to the computers and writing field significantly. This paper demonstrates how two lines of inquiry can be furthered, community-based writing and computers and writing, through new data and critical reflection on learning goals and communication tools. The paper presents a…

  7. One Child's Learning: Introducing Writing with a Computer. A. I. Memo No. 575.

    ERIC Educational Resources Information Center

    Lawler, R. W.

    This paper observes that computer access affects a child's learning significantly, and presents a case study of one child's use of the computer as an example of how computer-based introduction to writing might work. The case study highlights the suitability of computers for an introduction to writing that separates the structural elements of…

  8. Agent-Based Learning Environments as a Research Tool for Investigating Teaching and Learning.

    ERIC Educational Resources Information Center

    Baylor, Amy L.

    2002-01-01

    Discusses intelligent learning environments for computer-based learning, such as agent-based learning environments, and their advantages over human-based instruction. Considers the effects of multiple agents; agents and research design; the use of Multiple Intelligent Mentors Instructing Collaboratively (MIMIC) for instructional design for…

  9. What Students Learn in Problem-Based Learning: A Process Analysis

    ERIC Educational Resources Information Center

    Yew, Elaine H. J.; Schmidt, Henk G.

    2012-01-01

    This 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 students for an entire PBL cycle were recorded. The relevant…

  10. Learning with interactive computer graphics in the undergraduate neuroscience classroom.

    PubMed

    Pani, John R; Chariker, Julia H; Naaz, Farah; Mattingly, William; Roberts, Joshua; Sephton, Sandra E

    2014-10-01

    Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of adaptive exploration, in which exploration in a high fidelity graphical environment is integrated with immediate testing and feedback in repeated cycles of learning. The results of this study were that students considered the graphical learning environment to be superior to typical classroom materials used for learning neuroanatomy. Students managed the frequency and duration of study, test, and feedback in an efficient and adaptive manner. For example, the number of tests taken before reaching a minimum test performance of 90 % correct closely approximated the values seen in more regimented experimental studies. There was a wide range of student opinion regarding the choice between a simpler and a more graphically compelling program for learning sectional anatomy. Course outcomes were predicted by individual differences in the use of the software that reflected general work habits of the students, such as the amount of time committed to testing. The results of this introduction into the classroom are highly encouraging for development of computer-based instruction in biomedical disciplines.

  11. Paper-Based Computing

    ERIC Educational Resources Information Center

    Hannon, Charles

    2008-01-01

    Faculty have a great deal of control over their lectures, lecture notes, and slides. This article discusses a coming wave of recording devices and other classroom technologies--this time wielded by the students--which will test this control and force serious conversations about how to best help students learn, what it means to own an idea, and…

  12. Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

    ERIC Educational Resources Information Center

    Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne

    2014-01-01

    New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…

  13. Choosing Learning Methods Suitable for Teaching and Learning in Computer Science

    ERIC Educational Resources Information Center

    Taylor, Estelle; Breed, Marnus; Hauman, Ilette; Homann, Armando

    2013-01-01

    Our aim is to determine which teaching methods students in Computer Science and Information Systems prefer. There are in total 5 different paradigms (behaviorism, cognitivism, constructivism, design-based and humanism) with 32 models between them. Each model is unique and states different learning methods. Recommendations are made on methods that…

  14. Using animation to help students learn computer algorithms.

    PubMed

    Catrambone, Richard; Seay, A Fleming

    2002-01-01

    This paper compares the effects of graphical study aids and animation on the problem-solving performance of students learning computer algorithms. Prior research has found inconsistent effects of animation on learning, and we believe this is partly attributable to animations not being designed to convey key information to learners. We performed an instructional analysis of the to-be-learned algorithms and designed the teaching materials based on that analysis. Participants studied stronger or weaker text-based information about the algorithm, and then some participants additionally studied still frames or an animation. Across 2 studies, learners who studied materials based on the instructional analysis tended to outperform other participants on both near and far transfer tasks. Animation also aided performance, particularly for participants who initially read the weaker text. These results suggest that animation might be added to curricula as a way of improving learning without needing revisions of existing texts and materials. Actual or potential applications of this research include the development of animations for learning complex systems as well as guidelines for determining when animations can aid learning.

  15. Evaluation of Manual Spelling, Observational and Incidental Learning Using Computer-Based Instruction with a Tablet PC, Large Screen Projection, and a Forward Chaining Procedure

    ERIC Educational Resources Information Center

    Purrazzella, Kimberly; Mechling, Linda C.

    2013-01-01

    The study employed a multiple probe design to investigate the effects of computer-based instruction (CBI) and a forward chaining procedure to teach manual spelling of words to three young adults with moderate intellectual disability in a small group arrangement. The computer-based program included a tablet PC whereby students wrote words directly…

  16. Computer-Based Instruction: Effect of Cognitive Style, Instructional Format, and Subject-Matter Content on Learning

    DTIC Science & Technology

    1990-04-01

    patented invention that may in any way be related thereto. The Public Affairs Office has reviewed this report, and it is releasable to the National...M Linda J. Buehner Brent A University of Rochestero lGraduate School of Education and Human Development N Lattimore 529NRochester, New York 14627...December 1988 U R Approved for public release; distribution is unlimited. C E S LABORATORY AIR FORCE SYSTEMS COMMAND BROOKS AIR FORCE BASE, TEXAS 78235

  17. Computer-Assisted Language Learning: Diversity in Research and Practice

    ERIC Educational Resources Information Center

    Stockwell, Glenn, Ed.

    2012-01-01

    Computer-assisted language learning (CALL) is an approach to teaching and learning languages that uses computers and other technologies to present, reinforce, and assess material to be learned, or to create environments where teachers and learners can interact with one another and the outside world. This book provides a much-needed overview of the…

  18. Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification.

    SciTech Connect

    Webb-Robertson, Bobbie-Jo M.; Matzke, Melissa M.; Oehmen, Christopher S.

    2009-02-26

    Reducing the dimension of vectors used in training support vector machines (SVMs) results in a proportional speedup in training time. For large-scale problems this can make the difference between tractable and intractable training tasks. However, it is critical that classifiers trained on reduced datasets perform as reliably as their counterparts trained on high-dimensional data. We assessed principal component analysis (PCA) and sequential project pursuit (SPP) as dimension reduction strategies in the biology application of classifying proteins into well-defined functional ‘families’ (SVM-based protein family classification) by their impact on run-time, sensitivity and selectivity. Homology vectors of 4352 elements were reduced to approximately 2% of the original data size without significantly affecting accuracy using PCA and SPP, while leading to approximately a 28-fold speedup in run-time.

  19. Anchoring Problem-Solving and Computation Instruction in Context-Rich Learning Environments

    ERIC Educational Resources Information Center

    Bottge, Brian A.; Rueda, Enrique; Grant, Timothy S.; Stephens, Ana C.; Laroque, Perry T.

    2010-01-01

    Middle school students with learning disabilities in math (MLD) used two versions of Enhanced Anchored Instruction (EAI). In one condition, students learned how to compute with fractions on an as-needed basis while they worked to solve the EAI problems. In the other condition, teachers used a computer-based instructional module in place of one of…

  20. Computer-Based Hindi Pedagogy.

    ERIC Educational Resources Information Center

    Bhatia, Tej K.

    This paper brings out the structure and salient features of the Computer-Based Hindi Teaching (CBHT) course, which is being developed at the University of Illinois. The following topics are treated specifically: (1) areas of the Hindi Language course that can be efficiently and economically taught with computer-based pedagogy; (2) a demonstration…

  1. The Learning Effects of Computer Simulations in Science Education

    ERIC Educational Resources Information Center

    Rutten, Nico; van Joolingen, Wouter R.; van der Veen, Jan T.

    2012-01-01

    This article reviews the (quasi)experimental research of the past decade on the learning effects of computer simulations in science education. The focus is on two questions: how use of computer simulations can enhance traditional education, and how computer simulations are best used in order to improve learning processes and outcomes. We report on…

  2. Fostering an Informal Learning Community of Computer Technologies at School

    ERIC Educational Resources Information Center

    Xiao, Lu; Carroll, John M.

    2007-01-01

    Computer technologies develop at a challenging fast pace. Formal education should not only teach students basic computer skills to meet current computer needs, but also foster student development of informal learning ability for a lifelong learning process. On the other hand, students growing up in the digital world are often more skilled with…

  3. Computer-assisted Elementary Chinese Learning for American Students

    ERIC Educational Resources Information Center

    Hong-yan, Zhang

    2007-01-01

    Despite hopes and claims about benefits of computer-assisted language learning, few studies have documented actual cases about how American students learn elementary Chinese in a computer-equipped classroom. This paper deals with how to use computer as an educational tool to develop American students' Chinese language skills. The theoretical…

  4. RASCAL: A Rudimentary Adaptive System for Computer-Aided Learning.

    ERIC Educational Resources Information Center

    Stewart, John Christopher

    Both the background of computer-assisted instruction (CAI) systems in general and the requirements of a computer-aided learning system which would be a reasonable assistant to a teacher are discussed. RASCAL (Rudimentary Adaptive System for Computer-Aided Learning) is a first attempt at defining a CAI system which would individualize the learning…

  5. Scaling Critical Zone analysis tasks from desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study for project based learning of Cyberinfrastructure concepts

    NASA Astrophysics Data System (ADS)

    Swetnam, T. L.; Pelletier, J. D.; Merchant, N.; Callahan, N.; Lyons, E.

    2015-12-01

    Earth science is making rapid advances through effective utilization of large-scale data repositories such as aerial LiDAR and access to NSF-funded cyberinfrastructures (e.g. the OpenTopography.org data portal, iPlant Collaborative, and XSEDE). Scaling analysis tasks that are traditionally developed using desktops, laptops or computing clusters to effectively leverage national and regional scale cyberinfrastructure pose unique challenges and barriers to adoption. To address some of these challenges in Fall 2014 an 'Applied Cyberinfrastructure Concepts' a project-based learning course (ISTA 420/520) at the University of Arizona focused on developing scalable models of 'Effective Energy and Mass Transfer' (EEMT, MJ m-2 yr-1) for use by the NSF Critical Zone Observatories (CZO) project. EEMT is a quantitative measure of the flux of available energy to the critical zone, and its computation involves inputs that have broad applicability (e.g. solar insolation). The course comprised of 25 students with varying level of computational skills and with no prior domain background in the geosciences, collaborated with domain experts to develop the scalable workflow. The original workflow relying on open-source QGIS platform on a laptop was scaled to effectively utilize cloud environments (Openstack), UA Campus HPC systems, iRODS, and other XSEDE and OSG resources. The project utilizes public data, e.g. DEMs produced by OpenTopography.org and climate data from Daymet, which are processed using GDAL, GRASS and SAGA and the Makeflow and Work-queue task management software packages. Students were placed into collaborative groups to develop the separate aspects of the project. They were allowed to change teams, alter workflows, and design and develop novel code. The students were able to identify all necessary dependencies, recompile source onto the target execution platforms, and demonstrate a functional workflow, which was further improved upon by one of the group leaders over

  6. Time and Learning Efficiency in Internet-Based Learning: A Systematic Review and Meta-Analysis

    ERIC Educational Resources Information Center

    Cook, David A.; Levinson, Anthony J.; Garside, Sarah

    2010-01-01

    Authors have claimed that Internet-based instruction promotes greater learning efficiency than non-computer methods. Objectives Determine, through a systematic synthesis of evidence in health professions education, how Internet-based instruction compares with non-computer instruction in time spent learning, and what features of Internet-based…

  7. A Computer Learning Center for Environmental Sciences

    NASA Technical Reports Server (NTRS)

    Mustard, John F.

    2000-01-01

    In the fall of 1998, MacMillan Hall opened at Brown University to students. In MacMillan Hall was the new Computer Learning Center, since named the EarthLab which was outfitted with high-end workstations and peripherals primarily focused on the use of remotely sensed and other spatial data in the environmental sciences. The NASA grant we received as part of the "Centers of Excellence in Applications of Remote Sensing to Regional and Global Integrated Environmental Assessments" was the primary source of funds to outfit this learning and research center. Since opening, we have expanded the range of learning and research opportunities and integrated a cross-campus network of disciplines who have come together to learn and use spatial data of all kinds. The EarthLab also forms a core of undergraduate, graduate, and faculty research on environmental problems that draw upon the unique perspective of remotely sensed data. Over the last two years, the Earthlab has been a center for research on the environmental impact of water resource use in and regions, impact of the green revolution on forest cover in India, the design of forest preserves in Vietnam, and detailed assessments of the utility of thermal and hyperspectral data for water quality analysis. It has also been used extensively for local environmental activities, in particular studies on the impact of lead on the health of urban children in Rhode Island. Finally, the EarthLab has also served as a key educational and analysis center for activities related to the Brown University Affiliated Research Center that is devoted to transferring university research to the private sector.

  8. Pygmalion in Media-Based Learning: Effects of Quality Expectancies on Learning Outcomes

    ERIC Educational Resources Information Center

    Fries, Stefan; Horz, Holger; Haimerl, Charlotte

    2006-01-01

    Two studies investigated how quality expectations affect students' outcomes of media-based learning. Experiment 1 (N=62) demonstrated that students expecting a high-end computer-based training programme learned most, whereas students expecting a programme of ambiguous quality learned least and students having no expectations performed in between.…

  9. A Competency-Based Guided-Learning Algorithm Applied on Adaptively Guiding E-Learning

    ERIC Educational Resources Information Center

    Hsu, Wei-Chih; Li, Cheng-Hsiu

    2015-01-01

    This paper presents a new algorithm called competency-based guided-learning algorithm (CBGLA), which can be applied on adaptively guiding e-learning. Computational process analysis and mathematical derivation of competency-based learning (CBL) were used to develop the CBGLA. The proposed algorithm could generate an effective adaptively guiding…

  10. CyberPsychological Computation on Social Community of Ubiquitous Learning.

    PubMed

    Zhou, Xuan; Dai, Genghui; Huang, Shuang; Sun, Xuemin; Hu, Feng; Hu, Hongzhi; Ivanović, Mirjana

    2015-01-01

    Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns.

  11. CyberPsychological Computation on Social Community of Ubiquitous Learning

    PubMed Central

    Zhou, Xuan; Dai, Genghui; Huang, Shuang; Sun, Xuemin; Hu, Feng; Hu, Hongzhi; Ivanović, Mirjana

    2015-01-01

    Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns. PMID:26557846

  12. Computer-based theory of strategies

    SciTech Connect

    Findler, N.V.

    1983-01-01

    Some of the objectives and working tools of a new area of study, tentatively called theory of strategies, are described. It is based on the methodology of artificial intelligence, decision theory, utility theory, operations research and digital gaming. The latter refers to computing activity that incorporates model building, simulation and learning programs in conflict situations. The author also discusses three long-term projects which aim at automatically analyzing and synthesizing strategies. 27 references.

  13. The Relationship of Learning to Technology-Based Enhancements.

    ERIC Educational Resources Information Center

    Christensen, Dean L.; Tennyson, Robert D.

    1988-01-01

    Discussion of educational technology and its impact on instructional methodology and the learning process focuses on six basic educational components necessary to trace technology variables directly to specific learning processes. Highlights include learning objectives; knowledge bases; instructional strategies; computer-based enhancements; and…

  14. Reducing the computational footprint for real-time BCPNN learning

    PubMed Central

    Vogginger, Bernhard; Schüffny, René; Lansner, Anders; Cederström, Love; Partzsch, Johannes; Höppner, Sebastian

    2015-01-01

    The implementation of synaptic plasticity in neural simulation or neuromorphic hardware is usually very resource-intensive, often requiring a compromise between efficiency and flexibility. A versatile, but computationally-expensive plasticity mechanism is provided by the Bayesian Confidence Propagation Neural Network (BCPNN) paradigm. Building upon Bayesian statistics, and having clear links to biological plasticity processes, the BCPNN learning rule has been applied in many fields, ranging from data classification, associative memory, reward-based learning, probabilistic inference to cortical attractor memory networks. In the spike-based version of this learning rule the pre-, postsynaptic and coincident activity is traced in three low-pass-filtering stages, requiring a total of eight state variables, whose dynamics are typically simulated with the fixed step size Euler method. We derive analytic solutions allowing an efficient event-driven implementation of this learning rule. Further speedup is achieved by first rewriting the model which reduces the number of basic arithmetic operations per update to one half, and second by using look-up tables for the frequently calculated exponential decay. Ultimately, in a typical use case, the simulation using our approach is more than one order of magnitude faster than with the fixed step size Euler method. Aiming for a small memory footprint per BCPNN synapse, we also evaluate the use of fixed-point numbers for the state variables, and assess the number of bits required to achieve same or better accuracy than with the conventional explicit Euler method. All of this will allow a real-time simulation of a reduced cortex model based on BCPNN in high performance computing. More important, with the analytic solution at hand and due to the reduced memory bandwidth, the learning rule can be efficiently implemented in dedicated or existing digital neuromorphic hardware. PMID:25657618

  15. Identification of Learning Processes by Means of Computer Graphics.

    ERIC Educational Resources Information Center

    Sorensen, Birgitte Holm

    1993-01-01

    Describes a development project for the use of computer graphics and video in connection with an inservice training course for primary education teachers in Denmark. Topics addressed include research approaches to computers; computer graphics in learning processes; activities relating to computer graphics; the role of the teacher; and student…

  16. Computer Attitudes and Learning Performance: Issues for Management Education and Training.

    ERIC Educational Resources Information Center

    Gattiker, Urs E.; Hlavka, Angela

    This paper focuses on the relationship between trainees' attitudes and learning performance in computer courses. Based on the assumption that university graduates must be computer literate before entering the workforce, a study was conducted to examine how attitudes held before attending a computer course differed on the basis of gender, intention…

  17. Fostering the Analytical Competency of Pre-Service Teachers in a Computer-Supported Case-Based Learning Environment: A Matter of Perspective?

    ERIC Educational Resources Information Center

    Zottmann, J. M.; Goeze, A.; Frank, C.; Zentner, U.; Fischer, F.; Schrader, J.

    2012-01-01

    Analytical competency in classroom situations can be seen as a crucial aspect of teachers' professional competency. While case-based learning is considered to have great potential for teacher education, particularly with respect to the promotion of teachers' analytical skills, there have been very few attempts to investigate the effects of…

  18. A System Computational Model of Implicit Emotional Learning

    PubMed Central

    Puviani, Luca; Rama, Sidita

    2016-01-01

    Nowadays, the experimental study of emotional learning is commonly based on classical conditioning paradigms and models, which have been thoroughly investigated in the last century. Unluckily, models based on classical conditioning are unable to explain or predict important psychophysiological phenomena, such as the failure of the extinction of emotional responses in certain circumstances (for instance, those observed in evaluative conditioning, in post-traumatic stress disorders and in panic attacks). In this manuscript, starting from the experimental results available from the literature, a computational model of implicit emotional learning based both on prediction errors computation and on statistical inference is developed. The model quantitatively predicts (a) the occurrence of evaluative conditioning, (b) the dynamics and the resistance-to-extinction of the traumatic emotional responses, (c) the mathematical relation between classical conditioning and unconditioned stimulus revaluation. Moreover, we discuss how the derived computational model can lead to the development of new animal models for resistant-to-extinction emotional reactions and novel methodologies of emotions modulation. PMID:27378898

  19. Paper-Based and Computer-Based Concept Mappings: The Effects on Computer Achievement, Computer Anxiety and Computer Attitude

    ERIC Educational Resources Information Center

    Erdogan, Yavuz

    2009-01-01

    The purpose of this paper is to compare the effects of paper-based and computer-based concept mappings on computer hardware achievement, computer anxiety and computer attitude of the eight grade secondary school students. The students were randomly allocated to three groups and were given instruction on computer hardware. The teaching methods used…

  20. Learning-Based Curriculum Development

    ERIC Educational Resources Information Center

    Nygaard, Claus; Hojlt, Thomas; Hermansen, Mads

    2008-01-01

    This article is written to inspire curriculum developers to centre their efforts on the learning processes of students. It presents a learning-based paradigm for higher education and demonstrates the close relationship between curriculum development and students' learning processes. The article has three sections: Section "The role of higher…

  1. How Effective Is Instructional Support for Learning with Computer Simulations?

    ERIC Educational Resources Information Center

    Eckhardt, Marc; Urhahne, Detlef; Conrad, Olaf; Harms, Ute

    2013-01-01

    The study examined the effects of two different instructional interventions as support for scientific discovery learning using computer simulations. In two well-known categories of difficulty, data interpretation and self-regulation, instructional interventions for learning with computer simulations on the topic "ecosystem water" were developed…

  2. The Contribution of Visualization to Learning Computer Architecture

    ERIC Educational Resources Information Center

    Yehezkel, Cecile; Ben-Ari, Mordechai; Dreyfus, Tommy

    2007-01-01

    This paper describes a visualization environment and associated learning activities designed to improve learning of computer architecture. The environment, EasyCPU, displays a model of the components of a computer and the dynamic processes involved in program execution. We present the results of a research program that analysed the contribution of…

  3. Proactive Guidance in Computer-Assisted Language Learning.

    ERIC Educational Resources Information Center

    Cheng, Chin-Chuan

    A discussion of computer-assisted language learning focuses on management of individual learning processes. As distinct from a reference package, a computer-assisted teaching program has to assure that the student acquires and retains the complete information in the most efficient way, provide accurate and useful material, and pique the student's…

  4. The Learning Computer: Low Bandwidth Tool that Bridges Digital Divide

    ERIC Educational Resources Information Center

    Johnson, Russell; Kemp, Elizabeth; Kemp, Ray; Blakey, Peter

    2007-01-01

    This article reports on a project that explores strategies for narrowing the digital divide by providing a practicable e-learning option for the millions living outside the ambit of high performance computing and communication technology. The concept is introduced of a "learning computer," a low bandwidth tool that provides a simplified,…

  5. Computer-Supported Collaborative Learning in Higher Education

    ERIC Educational Resources Information Center

    Roberts, Tim, Ed.

    2005-01-01

    "Computer-Supported Collaborative Learning in Higher Education" provides a resource for researchers and practitioners in the area of computer-supported collaborative learning (also known as CSCL); particularly those working within a tertiary education environment. It includes articles of relevance to those interested in both theory and practice in…

  6. A Drawing and Multi-Representational Computer Environment for Beginners' Learning of Programming Using C: Design and Pilot Formative Evaluation

    ERIC Educational Resources Information Center

    Kordaki, Maria

    2010-01-01

    This paper presents both the design and the pilot formative evaluation study of a computer-based problem-solving environment (named LECGO: Learning Environment for programming using C using Geometrical Objects) for the learning of computer programming using C by beginners. In its design, constructivist and social learning theories were taken into…

  7. Setting the New Standard with Mobile Computing in Online Learning

    ERIC Educational Resources Information Center

    Shih, Yuhsun Edward; Mills, Dennis

    2007-01-01

    Mobile learning represents exciting new frontiers in education and pedagogy. With the features of "wearable" computing and multimedia content delivery via mobile technologies, mobile learning becomes feasible and offers new benefits to instructors and learners. How do mobile technologies influence our teaching and learning in traditional…

  8. An Intelligent Computer Assisted Language Learning System for Arabic Learners

    ERIC Educational Resources Information Center

    Shaalan, Khaled F.

    2005-01-01

    This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning…

  9. The Computational Development of Reinforcement Learning during Adolescence

    PubMed Central

    Palminteri, Stefano; Coricelli, Giorgio; Blakemore, Sarah-Jayne

    2016-01-01

    Adolescence is a period of life characterised by changes in learning and decision-making. Learning and decision-making do not rely on a unitary system, but instead require the coordination of different cognitive processes that can be mathematically formalised as dissociable computational modules. Here, we aimed to trace the developmental time-course of the computational modules responsible for learning from reward or punishment, and learning from counterfactual feedback. Adolescents and adults carried out a novel reinforcement learning paradigm in which participants learned the association between cues and probabilistic outcomes, where the outcomes differed in valence (reward versus punishment) and feedback was either partial or complete (either the outcome of the chosen option only, or the outcomes of both the chosen and unchosen option, were displayed). Computational strategies changed during development: whereas adolescents’ behaviour was better explained by a basic reinforcement learning algorithm, adults’ behaviour integrated increasingly complex computational features, namely a counterfactual learning module (enabling enhanced performance in the presence of complete feedback) and a value contextualisation module (enabling symmetrical reward and punishment learning). Unlike adults, adolescent performance did not benefit from counterfactual (complete) feedback. In addition, while adults learned symmetrically from both reward and punishment, adolescents learned from reward but were less likely to learn from punishment. This tendency to rely on rewards and not to consider alternative consequences of actions might contribute to our understanding of decision-making in adolescence. PMID:27322574

  10. The Computational Development of Reinforcement Learning during Adolescence.

    PubMed

    Palminteri, Stefano; Kilford, Emma J; Coricelli, Giorgio; Blakemore, Sarah-Jayne

    2016-06-01

    Adolescence is a period of life characterised by changes in learning and decision-making. Learning and decision-making do not rely on a unitary system, but instead require the coordination of different cognitive processes that can be mathematically formalised as dissociable computational modules. Here, we aimed to trace the developmental time-course of the computational modules responsible for learning from reward or punishment, and learning from counterfactual feedback. Adolescents and adults carried out a novel reinforcement learning paradigm in which participants learned the association between cues and probabilistic outcomes, where the outcomes differed in valence (reward versus punishment) and feedback was either partial or complete (either the outcome of the chosen option only, or the outcomes of both the chosen and unchosen option, were displayed). Computational strategies changed during development: whereas adolescents' behaviour was better explained by a basic reinforcement learning algorithm, adults' behaviour integrated increasingly complex computational features, namely a counterfactual learning module (enabling enhanced performance in the presence of complete feedback) and a value contextualisation module (enabling symmetrical reward and punishment learning). Unlike adults, adolescent performance did not benefit from counterfactual (complete) feedback. In addition, while adults learned symmetrically from both reward and punishment, adolescents learned from reward but were less likely to learn from punishment. This tendency to rely on rewards and not to consider alternative consequences of actions might contribute to our understanding of decision-making in adolescence.

  11. Learning Group Formation Based on Learner Profile and Context

    ERIC Educational Resources Information Center

    Muehlenbrock, Martin

    2006-01-01

    An important but often neglected aspect in Computer-Supported Collaborative Learning (CSCL) is the formation of learning groups. Until recently, most support for group formation was based on learner profile information. In addition, the perspective of ubiquitous computing and ambient intelligence allows for a wider perspective on group formation,…

  12. Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments

    ERIC Educational Resources Information Center

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

    2013-01-01

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

  13. Learning Histories in Simulation-Based Teaching: The Effects on Self-Learning and Transfer.

    ERIC Educational Resources Information Center

    Parush, A.; Hamm, H.; Shtub, A.

    2002-01-01

    Reports results of a controlled experiment to evaluate the effectiveness and efficiency of a learning process that takes place in a dynamic computer-based simulation, done with and without recording and accessing the history of the learning process. Discusses findings with respect to the self-learning process and using simulators in electronic…

  14. The Development of an E-Learning-Based Learning Service for MKDP Curriculum and Learning at the Indonesia University of Education

    ERIC Educational Resources Information Center

    Rusman

    2016-01-01

    E-learning is a general term used to refer to computer-enhanced learning based that facilitates whoever, wherever, and whenever the person is to be able to learn more fun, easier and cheaper by using Internet. In other words, E-learning is the use of network technologies to create, foster, deliver, and facilitate learning, anytime and anywhere. It…

  15. A New Design Approach to Game-Based Learning

    ERIC Educational Resources Information Center

    Larsen, Lasse Juel

    2012-01-01

    This paper puts forward a new design perspective for game-based learning. The general idea is to abandon the long sought-after dream of designing a closed learning system, where students in both primary and secondary school could learn--without the interference of teachers--whatever subject they wanted while sitting in front of a computer. This…

  16. Computer based safety training: an investigation of methods

    PubMed Central

    Wallen, E; Mulloy, K

    2005-01-01

    Background: Computer based methods are increasingly being used for training workers, although our understanding of how to structure this training has not kept pace with the changing abilities of computers. Information on a computer can be presented in many different ways and the style of presentation can greatly affect learning outcomes and the effectiveness of the learning intervention. Many questions about how adults learn from different types of presentations and which methods best support learning remain unanswered. Aims: To determine if computer based methods, which have been shown to be effective on younger students, can also be an effective method for older workers in occupational health and safety training. Methods: Three versions of a computer based respirator training module were developed and presented to manufacturing workers: one consisting of text only; one with text, pictures, and animation; and one with narration, pictures, and animation. After instruction, participants were given two tests: a multiple choice test measuring low level, rote learning; and a transfer test measuring higher level learning. Results: Participants receiving the concurrent narration with pictures and animation scored significantly higher on the transfer test than did workers receiving the other two types of instruction. There were no significant differences between groups on the multiple choice test. Conclusions: Narration with pictures and text may be a more effective method for training workers about respirator safety than other popular methods of computer based training. Further study is needed to determine the conditions for the effective use of this technology. PMID:15778259

  17. Interactive Computer-Assisted Instruction in Acid-Base Physiology for Mobile Computer Platforms

    ERIC Educational Resources Information Center

    Longmuir, Kenneth J.

    2014-01-01

    In this project, the traditional lecture hall presentation of acid-base physiology in the first-year medical school curriculum was replaced by interactive, computer-assisted instruction designed primarily for the iPad and other mobile computer platforms. Three learning modules were developed, each with ~20 screens of information, on the subjects…

  18. Work-Based Learning: Learning To Work; Working To Learn; Learning To Learn.

    ERIC Educational Resources Information Center

    Strumpf, Lori; Mains, Kristine

    This document describes a work-based learning approach designed to integrate work and learning at the workplace and thereby help young people develop the skills required for changing workplaces. The following considerations in designing work-based programs are discussed: the trend toward high performance workplaces and changes in the way work is…

  19. Computer-based Approaches for Training Interactive Digital Map Displays

    DTIC Science & Technology

    2005-09-01

    SUPPLEMENTARY NOTES Subject Matter POC: Jean L. Dyer 14. ABSTRACT (Maximum 200 words): Five computer-based training approaches for learning digital skills...Training assessment Exploratory Learning Guided ExploratoryTraining Guided Discovery SECURITY CLASSIFICATION OF 19. LIMITATION OF 20. NUMBER 21...the other extreme of letting Soldiers learn a digital interface on their own. The research reported here examined these two conditions and three other

  20. Supporting Learners' Appropriation of a Web-Based Learning Curriculum

    ERIC Educational Resources Information Center

    Rasseneur-Coffinet, Dorothée; Smyrniou, Georgia; Tchounikine, Pierre

    2007-01-01

    This article presents an approach and tools that can help learners appropriate a Web-based learning curriculum and become active participants in their learning. The approach is based on a detailed modeling of the curriculum and intends to equip the learners with different computer-based tools facilitating a multiple point of view perception of the…

  1. Effect of screen-based computer simulation on knowledge and skill in nursing students' learning of preoperative and postoperative care management: a randomized controlled study.

    PubMed

    Durmaz, Aylin; Dicle, Aklime; Cakan, Emre; Cakir, Şen

    2012-04-01

    Screen-based computer simulations are considered a method of skill teaching in health education. This study examined the effect of screen-based computer simulation on knowledge, skill, and the clinical decision-making process in teaching preoperative and postoperative care management to second-year students in an undergraduate school of nursing. It is a randomized controlled study. The study sample was composed of 82 students. They received education in screen-based computer simulation (n = 41) and skill laboratories (n = 41). Three instruments were used: a preoperative and postoperative care management cognitive level assessment test, skill control lists of preoperative and postoperative care management, and the Clinical Decision Making in Nursing Scale. There was not a significant difference between the students' posteducation knowledge levels (P = .421), practical deep breathing and coughing exercise education skills (P = .867), or clinical decision-making scale total and subscale scores (P = .065). However, a significant difference was found between the admission of the patient in the surgical clinic after surgery skill scores of the students (P = .04). Education provided in the screen-based computer simulation laboratory was equivalent to that provided in the skill laboratory.

  2. The Use of Transana as a Video Analysis Tool in Researching Computer-Based Collaborative Learning in Inclusive Classrooms in Cyprus

    ERIC Educational Resources Information Center

    Mavrou, Katerina; Douglas, Graeme; Lewis, Ann

    2007-01-01

    This paper focuses primarily on the methodological considerations of a study investigating the interactions of pairs of disabled and non-disabled children working together on computer-based tasks, in mainstream primary schools in Cyprus. Twenty dyads of pupils (each pair comprising a disabled child and a non-disabled peer), were observed and…

  3. Learning Consequences of Mobile-Computing Technologies: Differential Impacts on Integrative Learning and Skill-Focused Learning

    ERIC Educational Resources Information Center

    Kumi, Richard; Reychav, Iris; Sabherwal, Rajiv

    2016-01-01

    Many educational institutions are integrating mobile-computing technologies (MCT) into the classroom to improve learning outcomes. There is also a growing interest in research to understand how MCT influence learning outcomes. The diversity of results in prior research indicates that computer-mediated learning has different effects on various…

  4. Computer-Based Weather Research.

    DTIC Science & Technology

    1980-02-29

    F D-A994 020 SYSTEMS AND APPLZED SCIENCES CORP RIVERDALE MD FIG q/ COMPUTER BASED WEATHER RESEARCH.(U) FEB 80 A M GERLACH F19628-79-C-0033 Mrt F P0...AFGL-TR-80-0069 Na EIIIETEEII IBIBIIfIIIINI 0 Alan M4. Gerlach (ed.) I ~ stems and Applied Sciences Corporationl N~i eiworth Avenue I Riverdale...TITLE (and Si~bt,tle) 5 TYPE OF REPORT & PERIOD COVERED 7 cientific X’epaartVo. 2. COMPUTER-BASED WEATHER RESEARCH I Dee 78 - 3/’ Nov 79 \\ 7AUTHOR B ~MER

  5. Designing for deeper learning in a blended computer science course for middle school students

    NASA Astrophysics Data System (ADS)

    Grover, Shuchi; Pea, Roy; Cooper, Stephen

    2015-04-01

    The focus of this research was to create and test an introductory computer science course for middle school. Titled "Foundations for Advancing Computational Thinking" (FACT), the course aims to prepare and motivate middle school learners for future engagement with algorithmic problem solving. FACT was also piloted as a seven-week course on Stanford's OpenEdX MOOC platform for blended in-class learning. Unique aspects of FACT include balanced pedagogical designs that address the cognitive, interpersonal, and intrapersonal aspects of "deeper learning"; a focus on pedagogical strategies for mediating and assessing for transfer from block-based to text-based programming; curricular materials for remedying misperceptions of computing; and "systems of assessments" (including formative and summative quizzes and tests, directed as well as open-ended programming assignments, and a transfer test) to get a comprehensive picture of students' deeper computational learning. Empirical investigations, accomplished over two iterations of a design-based research effort with students (aged 11-14 years) in a public school, sought to examine student understanding of algorithmic constructs, and how well students transferred this learning from Scratch to text-based languages. Changes in student perceptions of computing as a discipline were measured. Results and mixed-method analyses revealed that students in both studies (1) achieved substantial learning gains in algorithmic thinking skills, (2) were able to transfer their learning from Scratch to a text-based programming context, and (3) achieved significant growth toward a more mature understanding of computing as a discipline. Factor analyses of prior computing experience, multivariate regression analyses, and qualitative analyses of student projects and artifact-based interviews were conducted to better understand the factors affecting learning outcomes. Prior computing experiences (as measured by a pretest) and math ability were

  6. Ageing, Learning, and Computer Technology in Australia

    ERIC Educational Resources Information Center

    Boulton-Lewis, Gillian M.; Buys, Laurie; Lovie-Kitchin, Jan; Barnett, Karen; David, L. Nikki

    2007-01-01

    Learning is an important aspect of active ageing, yet older people are not often included in discussions of the issue. Older people vary in their need, desire, and ability to learn, and this is evident in the context of technology. The focus of the data analysis for this paper was on determining the place of learning and technology in active…

  7. Teaching and Learning with Computers. An IAT Technical Primer.

    ERIC Educational Resources Information Center

    Oblinger, Diana

    This article, by the IBM (International Business Machines) program manager for the Institute for Academic Technology (IAT), is premised on the idea that the use of computers can help address many of the issues facing undergraduate education today. Computers in the classroom can enrich both teaching and learning. The IBM personal computer and the…

  8. Computer Use by School Teachers in Teaching-Learning Process

    ERIC Educational Resources Information Center

    Bhalla, Jyoti

    2013-01-01

    Developing countries have a responsibility not merely to provide computers for schools, but also to foster a habit of infusing a variety of ways in which computers can be integrated in teaching-learning amongst the end users of these tools. Earlier researches lacked a systematic study of the manner and the extent of computer-use by teachers. The…

  9. Computers for English Language Learning in Japanese Schools.

    ERIC Educational Resources Information Center

    Kataoka, Ko

    This paper suggests that computer assisted language learning (CALL) can and should be used in language education in Japan in more effective ways. It suggests practical ideas for incorporating the use of computers into English language instruction in Japan. Japanese teachers of English have many concerns about the use and efficacy of computers in…

  10. Reviewing and Critiquing Computer Learning and Usage among Older Adults

    ERIC Educational Resources Information Center

    Kim, Young Sek

    2008-01-01

    By searching the keywords of "older adult" and "computer" in ERIC, Academic Search Premier, and PsycINFO, this study reviewed 70 studies published after 1990 that address older adults' computer learning and usage. This study revealed 5 prominent themes among reviewed literature: (a) motivations and barriers of older adults' usage of computers, (b)…

  11. Developing Educational Computer Animation Based on Human Personality Types

    ERIC Educational Resources Information Center

    Musa, Sajid; Ziatdinov, Rushan; Sozcu, Omer Faruk; Griffiths, Carol

    2015-01-01

    Computer animation in the past decade has become one of the most noticeable features of technology-based learning environments. By its definition, it refers to simulated motion pictures showing movement of drawn objects, and is often defined as the art in movement. Its educational application known as educational computer animation is considered…

  12. The Impact of Instructional Elements in Computer-Based Instruction

    ERIC Educational Resources Information Center

    Martin, Florence; Klein, James D.; Sullivan, Howard

    2007-01-01

    This study investigated the effects of several elements of instruction (objectives, information, practice, examples and review) when they were combined in a systematic manner. College students enrolled in a computer literacy course used one of six different versions of a computer-based lesson delivered on the web to learn about input, processing,…

  13. Applying Learning Design to Work-Based Learning

    ERIC Educational Resources Information Center

    Miao, Yongwu; Hoppe, Heinz Ulrich

    2011-01-01

    Learning design is currently slanted to reflect a course-based approach to learning. This article explores whether the concept of learning design could be applied to support the informal aspects of work-based learning (WBL). It also discusses the characteristics of WBL and presents a WBL-specific learning design that highlights the key features…

  14. The Evolution of Vocabulary Learning Strategies in a Computer-Mediated Reading Environment

    ERIC Educational Resources Information Center

    Li, Jia

    2009-01-01

    Numerous studies have indicated that the provision of appropriate computer-mediated support to second language (L2) learners results in different vocabulary learning outcomes. However, there is no study available that investigates the transition in their way of learning vocabulary under the influence of technology-based support. This article…

  15. Computer Based Virtual Field Trips.

    ERIC Educational Resources Information Center

    Clark, Kenneth F.; Hosticka, Alice; Schriver, Martha; Bedell, Jackie

    This paper discusses computer based virtual field trips that use technologies commonly found in public schools in the United States. The discussion focuses on the advantages of both using and creating these field trips for an instructional situation. A virtual field trip to Cumberland Island National Seashore, St. Marys, Georgia is used as a point…

  16. Results of Computer Based Training.

    ERIC Educational Resources Information Center

    1978

    This report compares the projected savings of using computer based training to conduct training for newly hired pilots to the results of that application. New Hire training, one of a number of programs conducted continuously at the United Airline Flight Operations Training Center, is designed to assure that any newly hired pilot will be able to…

  17. Using Wikis as a Support and Assessment Tool in Collaborative Digital Game-Based Learning Environments

    ERIC Educational Resources Information Center

    Samur, Yavuz

    2011-01-01

    In computer-supported collaborative learning (CSCL) environments, there are many researches done on collaborative learning activities; however, in game-based learning environments, more research and literature on collaborative learning activities are required. Actually, both game-based learning environments and wikis enable us to use new chances…

  18. Theoretical models and computer simulations of neural learning systems.

    PubMed

    Salu, Y

    1984-11-07

    It has been generally assumed for a long time that learning is accomplished in the central nervous system (CNS) by modifying strengths of ties between neurons. Various mechanisms may contribute to this process, but it is not known which are the specific mechanisms, and what are the rules by which they operate. Theoretical models, which are based on that general assumption are introduced. The purpose of the models is to suggest plausible ways by which learned information may be stored in the neural network, and be retrieved when it is needed. The networks in the models consist of four basic subunits, in accordance with identified units in the CNS: sensing, response, feeling, and control, plus association areas. The suggested operation rules are based on established operation rules of individual neurons, and assumed rules when neurons in groups are considered. Computer simulations are done, to check the consistency of the models, and to illustrate how they work. They simulate how an hypothetical kitten learns part of its environment, and show how relevant information may be stored and retrieved in its neuronal network. The suggested mechanisms could be examined in experiments, albeit not easy ones to conduct.

  19. Computer-Based Environmental Management

    NASA Astrophysics Data System (ADS)

    Seppelt, Ralf

    2003-11-01

    This book provides professionals in environmental research and management with the information they need for computer modeling. Highlights include: A detailed summary of available software tools Presents cutting-edge mathematical methodology (e.g. fuzzy logic, hybrid Petri nets, optimum control theory) in a clear, understandable way Colour illustrations, flowcharts and worked examples that visualise and explain complex mathematical tasks. Case studies from various fields of application making it easier to apply simulation models for the solution of real-world problems Computer-Based Environmental Management is a unique reference for all environmental chemists, ecologists and agricultural scientists.

  20. Brain-based Learning.

    ERIC Educational Resources Information Center

    Weiss, Ruth Palombo

    2000-01-01

    Discusses brain research and how new imaging technologies allow scientists to explore how human brains process memory, emotion, attention, patterning, motivation, and context. Explains how brain research is being used to revise learning theories. (JOW)

  1. Does Artificial Tutoring Foster Inquiry Based Learning?

    ERIC Educational Resources Information Center

    Schmoelz, Alexander; Swertz, Christian; Forstner, Alexandra; Barberi, Alessandro

    2014-01-01

    This contribution looks at the Intelligent Tutoring Interface for Technology Enhanced Learning, which integrates multistage-learning and inquiry-based learning in an adaptive e-learning system. Based on a common pedagogical ontology, adaptive e-learning systems can be enabled to recommend learning objects and activities, which follow inquiry-based…

  2. A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers

    SciTech Connect

    Potok, Thomas E; Schuman, Catherine D; Young, Steven R; Patton, Robert M; Spedalieri, Federico; Liu, Jeremy; Yao, Ke-Thia; Rose, Garrett; Chakma, Gangotree

    2016-01-01

    Current Deep Learning models use highly optimized convolutional neural networks (CNN) trained on large graphical processing units (GPU)-based computers with a fairly simple layered network topology, i.e., highly connected layers, without intra-layer connections. Complex topologies have been proposed, but are intractable to train on current systems. Building the topologies of the deep learning network requires hand tuning, and implementing the network in hardware is expensive in both cost and power. In this paper, we evaluate deep learning models using three different computing architectures to address these problems: quantum computing to train complex topologies, high performance computing (HPC) to automatically determine network topology, and neuromorphic computing for a low-power hardware implementation. Due to input size limitations of current quantum computers we use the MNIST dataset for our evaluation. The results show the possibility of using the three architectures in tandem to explore complex deep learning networks that are untrainable using a von Neumann architecture. We show that a quantum computer can find high quality values of intra-layer connections and weights, while yielding a tractable time result as the complexity of the network increases; a high performance computer can find optimal layer-based topologies; and a neuromorphic computer can represent the complex topology and weights derived from the other architectures in low power memristive hardware. This represents a new capability that is not feasible with current von Neumann architecture. It potentially enables the ability to solve very complicated problems unsolvable with current computing technologies.

  3. Problem-Based Learning: What and How Do Students Learn?

    ERIC Educational Resources Information Center

    Hmelo-Silver, Cindy E.

    2004-01-01

    Problem-based approaches to learning have a long history of advocating experience-based education. Psychological research and theory suggests that by having students learn through the experience of solving problems, they can learn both content and thinking strategies. Problem-based learning (PBL) is an instructional method in which students learn…

  4. Reminding-Based Learning

    DTIC Science & Technology

    1994-02-08

    categorization. 1b. Interactions among different m csea . The work on selectivity can be viewed in a slightly different way - the generlizatim depends upon...paper on this accepted in Journal of Experimental Psychology: Learning, Memory, and Cognition (Spalding & Ross, in press) and have presented this work at...the separation of similarity effects. Journal of Expcimentygholog. Leming. Mm=. and Cogntion, 13, 629- 639. Ross, B. H. (1989a). Remindings in learning

  5. Efficient reinforcement learning: computational theories, neuroscience and robotics.

    PubMed

    Kawato, Mitsuo; Samejima, Kazuyuki

    2007-04-01

    Reinforcement learning algorithms have provided some of the most influential computational theories for behavioral learning that depends on reward and penalty. After briefly reviewing supporting experimental data, this paper tackles three difficult theoretical issues that remain to be explored. First, plain reinforcement learning is much too slow to be considered a plausible brain model. Second, although the temporal-difference error has an important role both in theory and in experiments, how to compute it remains an enigma. Third, function of all brain areas, including the cerebral cortex, cerebellum, brainstem and basal ganglia, seems to necessitate a new computational framework. Computational studies that emphasize meta-parameters, hierarchy, modularity and supervised learning to resolve these issues are reviewed here, together with the related experimental data.

  6. Stochastic learning in oxide binary synaptic device for neuromorphic computing.

    PubMed

    Yu, Shimeng; Gao, Bin; Fang, Zheng; Yu, Hongyu; Kang, Jinfeng; Wong, H-S Philip

    2013-01-01

    Hardware implementation of neuromorphic computing is attractive as a computing paradigm beyond the conventional digital computing. In this work, we show that the SET (off-to-on) transition of metal oxide resistive switching memory becomes probabilistic under a weak programming condition. The switching variability of the binary synaptic device implements a stochastic learning rule. Such stochastic SET transition was statistically measured and modeled for a simulation of a winner-take-all network for competitive learning. The simulation illustrates that with such stochastic learning, the orientation classification function of input patterns can be effectively realized. The system performance metrics were compared between the conventional approach using the analog synapse and the approach in this work that employs the binary synapse utilizing the stochastic learning. The feasibility of using binary synapse in the neurormorphic computing may relax the constraints to engineer continuous multilevel intermediate states and widens the material choice for the synaptic device design.

  7. Problem Based Learning: Mystery Disease.

    ERIC Educational Resources Information Center

    Bohland, Mark A.

    This guide features a problem-based learning (PBL) unit specifically designed for student-centered learning of new and meaningful content on diseases. Students grapple with a complex and changing problem that requires higher level thinking skills in an environment in which students work both individually and in collaboration with others. Includes…

  8. Learning second language vocabulary: neural dissociation of situation-based learning and text-based learning.

    PubMed

    Jeong, Hyeonjeong; Sugiura, Motoaki; Sassa, Yuko; Wakusawa, Keisuke; Horie, Kaoru; Sato, Shigeru; Kawashima, Ryuta

    2010-04-01

    Second language (L2) acquisition necessitates learning and retrieving new words in different modes. In this study, we attempted to investigate the cortical representation of an L2 vocabulary acquired in different learning modes and in cross-modal transfer between learning and retrieval. Healthy participants learned new L2 words either by written translations (text-based learning) or in real-life situations (situation-based learning). Brain activity was then measured during subsequent retrieval of these words. The right supramarginal gyrus and left middle frontal gyrus were involved in situation-based learning and text-based learning, respectively, whereas the left inferior frontal gyrus was activated when learners used L2 knowledge in a mode different from the learning mode. Our findings indicate that the brain regions that mediate L2 memory differ according to how L2 words are learned and used.

  9. Informatics, machine learning and computational medicinal chemistry.

    PubMed

    Mitchell, John B O

    2011-03-01

    This article reviews the use of informatics and computational chemistry methods in medicinal chemistry, with special consideration of how computational techniques can be adapted and extended to obtain more and higher-quality information. Special consideration is given to the computation of protein-ligand binding affinities, to the prediction of off-target bioactivities, bioactivity spectra and computational toxicology, and also to calculating absorption-, distribution-, metabolism- and excretion-relevant properties, such as solubility.

  10. Technology Integration Applied to Project-Based Learning in Science

    ERIC Educational Resources Information Center

    ChanLin, Lih-Juan

    2008-01-01

    This paper reports the findings of a study which observed students' (aged 10-11) use of technology during project-based learning activities in science. As part of the overall process of project-based learning, students used computer technology as a tool for collecting information, organising it and presenting it to their peers. Students conducted…

  11. Problem-Based Learning: Instructor Characteristics, Competencies, and Professional Development

    DTIC Science & Technology

    2011-01-01

    and direct (Huitt, Monetti, & Hummel, 2009), involving primarily lecture or presentation, demonstration, and, in most cases , practical exercise. It...and case -based learning were examined. In addition, principles for designing computer-based student-centered learning environments were reviewed...the effectiveness of various developmental techniques. Because the civilian literature primarily consisted of case studies or small-sample

  12. Scaffolding Problem-Based Learning with CSCL Tools

    ERIC Educational Resources Information Center

    Lu, Jingyan; Lajoie, Susanne P.; Wiseman, Jeffrey

    2010-01-01

    Small-group medical problem-based learning (PBL) was a pioneering form of collaborative learning at the university level. It has traditionally been delivered in face-to-face text-based format. With the advancement of computer technology and progress in CSCL, educational researchers are now exploring how to design digitally-implemented scaffolding…

  13. Synchronizing compute node time bases in a parallel computer

    DOEpatents

    Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip

    2014-12-30

    Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.

  14. Synchronizing compute node time bases in a parallel computer

    DOEpatents

    Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip

    2015-01-27

    Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.

  15. Spatial Learning and Computer Simulations in Science

    ERIC Educational Resources Information Center

    Lindgren, Robb; Schwartz, Daniel L.

    2009-01-01

    Interactive simulations are entering mainstream science education. Their effects on cognition and learning are often framed by the legacy of information processing, which emphasized amodal problem solving and conceptual organization. In contrast, this paper reviews simulations from the vantage of research on perception and spatial learning,…

  16. Detecting Soft Errors in Stencil based Computations

    SciTech Connect

    Sharma, V.; Gopalkrishnan, G.; Bronevetsky, G.

    2015-05-06

    Given the growing emphasis on system resilience, it is important to develop software-level error detectors that help trap hardware-level faults with reasonable accuracy while minimizing false alarms as well as the performance overhead introduced. We present a technique that approaches this idea by taking stencil computations as our target, and synthesizing detectors based on machine learning. In particular, we employ linear regression to generate computationally inexpensive models which form the basis for error detection. Our technique has been incorporated into a new open-source library called SORREL. In addition to reporting encouraging experimental results, we demonstrate techniques that help reduce the size of training data. We also discuss the efficacy of various detectors synthesized, as well as our future plans.

  17. Self-Directed Learning: A Cognitive and Computational Perspective.

    PubMed

    Gureckis, Todd M; Markant, Douglas B

    2012-09-01

    A widely advocated idea in education is that people learn better when the flow of experience is under their control (i.e., learning is self-directed). However, the reasons why volitional control might result in superior acquisition and the limits to such advantages remain poorly understood. In this article, we review the issue from both a cognitive and computational perspective. On the cognitive side, self-directed learning allows individuals to focus effort on useful information they do not yet possess, can expose information that is inaccessible via passive observation, and may enhance the encoding and retention of materials. On the computational side, the development of efficient "active learning" algorithms that can select their own training data is an emerging research topic in machine learning. This review argues that recent advances in these related fields may offer a fresh theoretical perspective on how people gather information to support their own learning.

  18. The Development of a Robot-Based Learning Companion: A User-Centered Design Approach

    ERIC Educational Resources Information Center

    Hsieh, Yi-Zeng; Su, Mu-Chun; Chen, Sherry Y.; Chen, Gow-Dong

    2015-01-01

    A computer-vision-based method is widely employed to support the development of a variety of applications. In this vein, this study uses a computer-vision-based method to develop a playful learning system, which is a robot-based learning companion named RobotTell. Unlike existing playful learning systems, a user-centered design (UCD) approach is…

  19. An eLearning Standard Approach for Supporting PBL in Computer Engineering

    ERIC Educational Resources Information Center

    Garcia-Robles, R.; Diaz-del-Rio, F.; Vicente-Diaz, S.; Linares-Barranco, A.

    2009-01-01

    Problem-based learning (PBL) has proved to be a highly successful pedagogical model in many fields, although it is not that common in computer engineering. PBL goes beyond the typical teaching methodology by promoting student interaction. This paper presents a PBL trial applied to a course in a computer engineering degree at the University of…

  20. Effects of Computer Graphics Types and Epistemological Beliefs on Students' Learning of Mathematical Concepts.

    ERIC Educational Resources Information Center

    Lin, Chi-Hui

    2002-01-01

    Describes a study that determined the implications of computer graphics types and epistemological beliefs with regard to the design of computer-based mathematical concept learning with elementary school students in Taiwan. Discusses the factor structure of the epistemological belief questionnaire, student performance, and students' attitudes…

  1. A Framework to Analyze Argumentative Knowledge Construction in Computer-Supported Collaborative Learning

    ERIC Educational Resources Information Center

    Weinberger, Armin; Fischer, Fischer

    2006-01-01

    Computer-supported collaborative learning (CSCL) is often based on written argumentative discourse of learners, who discuss their perspectives on a problem with the goal to acquire knowledge. Lately, CSCL research focuses on the facilitation of specific processes of argumentative knowledge construction, e.g., with computer-supported collaboration…

  2. Speech Technology in Computer-Assisted Language Learning: Strengths and Limitations of a New CALL Paradigm.

    ERIC Educational Resources Information Center

    Ehsani, Farzad; Knodt, Eva

    1998-01-01

    Investigates suitability of deploying speech technology in computer-based systems that can be used to teach foreign language skills. In reviewing the current state of speech recognition and speech processing technology and by examining a number of voice-interactive computer-assisted language learning applications, suggests how to create robust…

  3. Toward Effective Group Formation in Computer-Supported Collaborative Learning

    ERIC Educational Resources Information Center

    Sadeghi, Hamid; Kardan, Ahmad A.

    2016-01-01

    Group formation task as a starting point for computer-supported collaborative learning plays a key role in achieving pedagogical goals. Various approaches have been reported in the literature to address this problem, but none have offered an optimal solution. In this research, an online learning environment was modeled as a weighted undirected…

  4. Statistical Learning of Phonetic Categories: Insights from a Computational Approach

    ERIC Educational Resources Information Center

    McMurray, Bob; Aslin, Richard N.; Toscano, Joseph C.

    2009-01-01

    Recent evidence (Maye, Werker & Gerken, 2002) suggests that statistical learning may be an important mechanism for the acquisition of phonetic categories in the infant's native language. We examined the sufficiency of this hypothesis and its implications for development by implementing a statistical learning mechanism in a computational model…

  5. Evaluating the Effectiveness of Computer Applications in Developing English Learning

    ERIC Educational Resources Information Center

    Whitaker, James Todd

    2016-01-01

    I examined the effectiveness of self-directed learning and English learning with computer applications on college students in Bangkok, Thailand, in a control-group experimental-group pretest-posttest design. The hypothesis was tested using a t test: two-sample assuming unequal variances to establish the significance of mean scores between the two…

  6. Time Advice and Learning Questions in Computer Simulations

    ERIC Educational Resources Information Center

    Rey, Gunter Daniel

    2011-01-01

    Students (N = 101) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without time advice) x 3 (with learning questions and corrective feedback, with…

  7. Toward Computer-Aided Affective Learning Systems: A Literature Review

    ERIC Educational Resources Information Center

    Moridis, C. N.; Economides, A. A.

    2008-01-01

    The aim of this survey is to provide an overview of the various components of "computer aided affective learning systems." The research is classified into 3 main scientific areas that are integral parts of the development of these kinds of systems. The three main scientific areas are: i) emotions and their connection to learning; ii) affect…

  8. Computer-Assisted Foreign Language Teaching and Learning: Technological Advances

    ERIC Educational Resources Information Center

    Zou, Bin; Xing, Minjie; Wang, Yuping; Sun, Mingyu; Xiang, Catherine H.

    2013-01-01

    Computer-Assisted Foreign Language Teaching and Learning: Technological Advances highlights new research and an original framework that brings together foreign language teaching, experiments and testing practices that utilize the most recent and widely used e-learning resources. This comprehensive collection of research will offer linguistic…

  9. Learning with Personal Computers: Issues, Observations and Perspectives.

    ERIC Educational Resources Information Center

    Rowe, Helga A. H.; And Others

    This book is about learning and teaching with personal computers. It is aimed at teachers, student teachers, those responsible for pre-service and in-service teacher training, school administrators, and parents. The book is arranged in four sections. Part I includes two chapters providing a theoretical framework for learning and teaching with…

  10. The Hyper Apuntes Interactive Learning Environment for Computer Programming Teaching.

    ERIC Educational Resources Information Center

    Sommaruga, Lorenzo; Catenazzi, Nadia

    1998-01-01

    Describes the "Hyper Apuntes" interactive learning environment, used as a didactic support to a computer programming course taught at the University Carlos III of Madrid, Spain. The system allows students to study the material and see examples, edit, compile and run programs, and evaluate their learning degree. It is installed on a Web…

  11. Trainee Teachers' e-Learning Experiences of Computer Play

    ERIC Educational Resources Information Center

    Wright, Pam

    2009-01-01

    Pam Wright highlights the role of technology in providing situated learning opportunities for preservice teachers to explore the role commercial computer games may have in primary education. In a study designed to assess the effectiveness of an online unit on gaming incorporated into a course on learning technologies, Wright found that thoughtful…

  12. Pervasive Computing and Communication Technologies for U-Learning

    ERIC Educational Resources Information Center

    Park, Young C.

    2014-01-01

    The development of digital information transfer, storage and communication methods influences a significant effect on education. The assimilation of pervasive computing and communication technologies marks another great step forward, with Ubiquitous Learning (U-learning) emerging for next generation learners. In the evolutionary view the 5G (or…

  13. Design Principles for Computer-Aided Vocabulary Learning.

    ERIC Educational Resources Information Center

    Goodfellow, Robin

    1994-01-01

    Presents six principles for the design of adaptive computer-assisted language learning (CALL) programs for vocabulary that incorporate a theory describing quality in the learning outcome and linking it to the learner's approach. Highlights include interactivity; general architecture of a software system; and diagnosis and modification. (Contains…

  14. Optimizing Computer Assisted Instruction By Applying Principles of Learning Theory.

    ERIC Educational Resources Information Center

    Edwards, Thomas O.

    The development of learning theory and its application to computer-assisted instruction (CAI) are described. Among the early theoretical constructs thought to be important are E. L. Thorndike's concept of learning connectisms, Neal Miller's theory of motivation, and B. F. Skinner's theory of operant conditioning. Early devices incorporating those…

  15. A "Service-Learning Approach" to Teaching Computer Graphics

    ERIC Educational Resources Information Center

    Hutzel, Karen

    2007-01-01

    The author taught a computer graphics course through a service-learning framework to undergraduate and graduate students in the spring of 2003 at Florida State University (FSU). The students in this course participated in learning a software program along with youths from a neighboring, low-income, primarily African-American community. Together,…

  16. Supporting Students' Learning in the Domain of Computer Science

    ERIC Educational Resources Information Center

    Gasparinatou, Alexandra; Grigoriadou, Maria

    2011-01-01

    Previous studies have shown that students with low knowledge understand and learn better from more cohesive texts, whereas high-knowledge students have been shown to learn better from texts of lower cohesion. This study examines whether high-knowledge readers in computer science benefit from a text of low cohesion. Undergraduate students (n = 65)…

  17. Computer-Assisted Learning in British Sign Language

    ERIC Educational Resources Information Center

    Mertzani, Maria

    2011-01-01

    The fact that language teaching can be operationalized through computer-assisted language learning (CALL) has directed researchers' attention to the learning task, which, in this case, is considered to be the unit that demands analysis of the communicative processes in which the learner is involved while working with CALL. Research focuses on…

  18. Public Computer Assisted Learning Facilities for Children with Visual Impairment: Universal Design for Inclusive Learning

    ERIC Educational Resources Information Center

    Siu, Kin Wai Michael; Lam, Mei Seung

    2012-01-01

    Although computer assisted learning (CAL) is becoming increasingly popular, people with visual impairment face greater difficulty in accessing computer-assisted learning facilities. This is primarily because most of the current CAL facilities are not visually impaired friendly. People with visual impairment also do not normally have access to…

  19. Individual versus Interactive Task-Based Performance through Voice-Based Computer-Mediated Communication

    ERIC Educational Resources Information Center

    Granena, Gisela

    2016-01-01

    Interaction is a necessary condition for second language (L2) learning (Long, 1980, 1996). Research in computer-mediated communication has shown that interaction opportunities make learners pay attention to form in a variety of ways that promote L2 learning. This research has mostly investigated text-based rather than voice-based interaction. The…

  20. Multimodal Learning Analytics and Education Data Mining: Using Computational Technologies to Measure Complex Learning Tasks

    ERIC Educational Resources Information Center

    Blikstein, Paulo; Worsley, Marcelo

    2016-01-01

    New high-frequency multimodal data collection technologies and machine learning analysis techniques could offer new insights into learning, especially when students have the opportunity to generate unique, personalized artifacts, such as computer programs, robots, and solutions engineering challenges. To date most of the work on learning analytics…