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Lim, Wei-Ying; So, Hyo-Jeong; Tan, Seng-Chee – Interactive Learning Environments, 2010
While the growing prevalence of Web 2.0 in education opens up exciting opportunities for universities to explore expansive, new literacies practices, concomitantly, it presents unique challenges. Many universities are changing from a content delivery paradigm of eLearning 1.0 to a learner-focused paradigm of eLearning 2.0. In this article, we…
Descriptors: Models, Internet, Electronic Learning, Technology Uses in Education
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Boyd, Gary McI.; Mitchell, P. David – Computers and Education, 1992
Discusses intelligent computer-aided learning (ICAL) support systems and considers learner characteristics as elements of ICAL student models. Cybernetic theory and attribute-treatment results are discussed, six components of a student model for tutoring are described, and methods for determining the student's model of the tutor are examined. (22…
Descriptors: Aptitude Treatment Interaction, Cognitive Style, Computer Assisted Instruction, Computer System Design
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Duchastel, Philippe – Computers and Education, 1989
Discussion of intelligent computer-assisted instruction (ICAI) systems focuses on tutorial strategies. Highlights include artificial intelligence; degree of learner control; student modeling requirements in ICAI; ICAI system architecture; forms of knowledge; and tutoring functions, including questioning, teaching, and motivating. (17 references)…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Models
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Woolf, Beverly Park – Educational Technology, Research and Development, 1992
Discusses the integration of instructional science and computer science. Topics addressed include motivation for building knowledge-based systems; instructional design issues, including cognitive models, representing student intentions, and student models and error diagnosis; representing tutoring knowledge; building a tutoring system, including…
Descriptors: Computer Assisted Instruction, Computer Science, Computer System Design, Discourse Analysis
O'Malley, Claire – 1989
The nature of the learner-machine interaction is of central importance in the design of guided discovery learning environments. The interface to a learning environment is the only way in which a learner has access to the functionality of the system, and conversely, the interface in the only way in which the tutoring component of the system has…
Descriptors: Computer Assisted Instruction, Computer System Design, Discovery Learning, Educational Environment
Elsom-Cook, Mark – 1989
Because interaction is the only observable information people have about teaching processes, it follows that the primary aspect of intelligent tutoring systems (ITS) is interaction, and that future work on domains or student models should be driven by the needs identified in the study of interaction. This paper begins by examining the idea of…
Descriptors: Computer Assisted Instruction, Computer System Design, Expert Systems, Foreign Countries
Hansen, Edmund J. – Educational Technology, 1989
Discussion of the use of interactive video (IV) as an instructional medium focuses on its uses in the teaching of professional interpersonal skills. Topics discussed include the use of IV for tutorials and simulations; learning theories; a model of skill acquisition; hypothesis testing; and nine principles for interactive video designs. (33…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer System Design, Decision Making