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Kwanya, Tom; Stilwell, Christine; Underwood, Peter G. – Journal of Librarianship and Information Science, 2013
Using the "point oh" naming system for developments in librarianship is attracting debate about its appropriateness, basis and syntax and the meaning and potential of Library 2.0. Now a new term, Library 3.0, has emerged. Is there is any significant difference between the two models? Using documentary analysis to explore the terms, the…
Descriptors: Information Networks, Library Automation, Library Development, Library Services
Educational Testing Service, 2011
Choosing whether to test via computer is the most difficult and consequential decision the designers of a testing program can make. The decision is difficult because of the wide range of choices available. Designers can choose where and how often the test is made available, how the test items look and function, how those items are combined into…
Descriptors: Test Items, Testing Programs, Testing, Computer Assisted Testing
Bush, Michael D.; Walker, Edward C. T.; Sorensen, Alexander N. – Educational Technology, 2011
E-Learning standards began to come on the scene in the late 1990s. SCORM is the most widely known and practiced example, but some would say that it has failed to yield the hoped-for results. The authors have been engaged in projects to determine the impact that SCORM has had, and this article presents the results of interviews with individuals who…
Descriptors: Electronic Learning, Educational Change, Interviews, Program Attitudes
Biju, Soly Mathew – E-Learning, 2008
Model-based testing is one of the best solutions for testing object-oriented software. It has a better test coverage than other testing styles. Model-based testing takes into consideration behavioural aspects of a class, which are usually unchecked in other testing methods. An increase in the complexity of software has forced the software industry…
Descriptors: Computer Software, Computer Software Evaluation, Evaluation Methods, Models
Vattam, Swaroop S.; Goel, Ashok K.; Rugaber, Spencer; Hmelo-Silver, Cindy E.; Jordan, Rebecca; Gray, Steven; Sinha, Suparna – Educational Technology & Society, 2011
Artificial intelligence research on creative design has led to Structure-Behavior-Function (SBF) models that emphasize functions as abstractions for organizing understanding of physical systems. Empirical studies on understanding complex systems suggest that novice understanding is shallow, typically focusing on their visible structures and…
Descriptors: Systems Approach, Middle School Students, Models, Science Instruction
White, Peter J. T.; Delaney, David G.; Syncox, David; Akerberg, Oscar Avila; Alters, Brian – EDUCAUSE Quarterly, 2011
Student response systems can help instructors integrate active learning into their classrooms. Such technology is known by a variety of names, including classroom response systems, student response systems, audience response systems, electronic response systems, personal response systems, zappers, and clickers. The "system" consists of three…
Descriptors: Student Reaction, Audience Response, Computer Software, Active Learning
Ounaies, Houda Zouari; Jamoussi, Yassine; Ben Ghezala, Henda Hajjami – Themes in Science and Technology Education, 2008
Currently, e-learning systems are mainly web-based applications and tackle a wide range of users all over the world. Fitting learners' needs is considered as a key issue to guaranty the success of these systems. Many researches work on providing adaptive systems. Nevertheless, evaluation of the adaptivity is still in an exploratory phase.…
Descriptors: Media Adaptation, Instructional Design, Electronic Learning, Management Information Systems

Del Soldato, Teresa; Du Boulay, Benedict – Journal of Artificial Intelligence in Education, 1995
Discusses motivation-based tactics and contrasts them with instruction based on student's assumed state of knowledge. Describes an intelligent tutoring system, MORE (MOtivational REactive plan), which combines motivational planning and knowledge domain issues, and a formative evaluation of the tutor teaching Prolog debugging. (Author/JKP)
Descriptors: Computer Assisted Instruction, Computer Software Evaluation, Intelligent Tutoring Systems, Models
Amory, Alan – Educational Technology Research and Development, 2007
Complex computer and video games may provide a vehicle, based on appropriate theoretical concepts, to transform the educational landscape. Building on the original game object model (GOM) a new more detailed model is developed to support concepts that educational computer games should: be relevant, explorative, emotive, engaging, and include…
Descriptors: Video Games, Educational Games, Game Theory, Design Requirements

Richards, Trevor; Robinson, Christine – CD-ROM Professional, 1993
Provides a comprehensive system for professional evaluation of CD-ROM software. The system extends the work of Peter Jacso by including a detailed evaluation form using a simplified rating scale. It also incorporates the CD-ROM Consistent Interface Guidelines, which propose 13 basic functions for CD-ROM user interfaces. The evaluation form is…
Descriptors: Computer Software Evaluation, Evaluation Criteria, Evaluation Methods, Information Retrieval
Tseng, Shian-Shyong; Su, Jun-Ming; Hwang, Gwo-Jen; Hwang, Gwo-Haur; Tsai, Chin-Chung; Tsai, Chang-Jiun – Educational Technology & Society, 2008
The popularity of web-based learning systems has encouraged researchers to pay attention to several new issues. One of the most important issues is the development of new techniques to provide personalized teaching materials. Although several frameworks or methods have been proposed, it remains a challenging issue to design an easy-to-realize…
Descriptors: Computer Assisted Instruction, Educational Technology, Individualized Instruction, Intelligent Tutoring Systems

Ma, Wei-Ying; Manjunath, B. S. – Journal of the American Society for Information Science, 1998
Presents a texture-based image-retrieval system for browsing large-scale aerial photographs. System components include texture-feature extraction, image segmentation and grouping, learning-similarity measure, and a texture-thesaurus model for fast search and indexing. Testing has demonstrated the system's effectiveness in searching and selecting…
Descriptors: Computer Software Evaluation, Geography, Indexing, Information Retrieval
Cochrane, Thomas; Bateman, Roger – Australasian Journal of Educational Technology, 2010
Built on the foundation of four years of research and implementation of mobile learning projects (m-learning), this paper provides an overview of the potential of the integration of mobile Web 2.0 tools (based around smartphones) to facilitate social constructivist pedagogies and engage students in tertiary education. Pedagogical affordances of…
Descriptors: Feedback (Response), Constructivism (Learning), Communities of Practice, Action Research
Baghaei, Nilufar; Mitrovic, Antonija; Irwin, Warwick – International Journal of Computer-Supported Collaborative Learning, 2007
We present COLLECT-UML, a constraint-based intelligent tutoring system (ITS) that teaches object-oriented analysis and design using Unified Modelling Language (UML). UML is easily the most popular object-oriented modelling technology in current practice. While teaching how to design UML class diagrams, COLLECT-UML also provides feedback on…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Cooperation, Problem Solving
Deek, Fadi P.; McHugh, James A. – Journal of Interactive Learning Research, 2003
This article describes an integrated problem solving and program development environment, illustrating the application of the system with a detailed case study of a small-scale programming problem. The system, which is based on an explicit cognitive model, is intended to guide the novice programmer through the stages of problem solving and program…
Descriptors: Problem Solving, Computer Software, Engineering, Programming
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