Software Engineering For Adaptive Hypermedia Systems


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Software Engineering for Adaptive Hypermedia Systems


Software Engineering for Adaptive Hypermedia Systems

Author: Nora Parcus de Koch

language: en

Publisher:

Release Date: 2001


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Adaptable and Adaptive Hypermedia Systems


Adaptable and Adaptive Hypermedia Systems

Author: Sherry Y. Chen

language: en

Publisher: IGI Global

Release Date: 2005-01-01


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Hypermedia systems may be one of the most significant contributions to the Internet in recent years. This powerful new technology has revolutionized the delivery of e-content through the Internet. Adaptable and Adaptive Hypermedia Systems examines both types of new hypermedia systems; discussing the benefits, impacts and implications of both. This book covers the most current issues in the field, while providing insight into analytical and architectural aspects of the topic.

Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities


Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities

Author: Tadlaoui, Mouenis Anouar

language: en

Publisher: IGI Global

Release Date: 2018-11-16


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Teachers use e-learning systems to develop course notes and web-based activities to communicate with learners on one side and monitor and classify their progress on the other. Learners use it for learning, communication, and collaboration. Adaptive e-learning systems often employ learner models, and the behavior of an adaptive system varies depending on the data from the learner model and the learner's profile. Without knowing anything about the learner who uses the system, a system would behave in exactly the same way for all learners. Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems: Emerging Research and Opportunities is a collection of research on the use of Bayesian networks and methods as a probabilistic formalism for the management of the learner model in adaptive hypermedia. It specifically discusses comparative studies, transformation rules, and case diagrams that support all phases of the learner model and the use of Bayesian networks and multi-entity Bayesian networks to manage dynamic aspects of this model. While highlighting topics such as developing the learner model, learning management systems, and modeling techniques, this book is ideally designed for instructional designers, course administrators, educators, researchers, and professionals.