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Advances in Personalized Web-Based Education

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Advances in Personalized Web-Based Education Synopsis

This book aims to provide important information about adaptivity in computer-based and/or web-based educational systems. In order to make the student modeling process clear, a literature review concerning student modeling techniques and approaches during the past decade is presented in a special chapter. A novel student modeling approach including fuzzy logic techniques is presented. Fuzzy logic is used to automatically model the learning or forgetting process of a student. The presented novel student model is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress. It maximizes the effectiveness of learning and contributes, significantly, to the adaptation of the learning process to the learning pace of each individual learner. Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.

About This Edition

ISBN: 9783319360485
Publication date: 22nd September 2016
Author: Konstantina Chrysafiadi, Maria Virvou
Publisher: Springer an imprint of Springer International Publishing
Format: Paperback
Pagination: 156 pages
Series: Intelligent Systems Reference Library
Genres: Artificial intelligence
Educational equipment and technology, computer-aided learning (CAL)
Graphical and digital media applications