Overview
- Presents recent research in Personalized Web-Based Education
- Focus on intelligent tutoring systems and fuzzy logic
- Useful for researchers and developers in web-based educational systems, as well as graduate students in related areas
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 78)
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About this book
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.
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Table of contents (4 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Advances in Personalized Web-Based Education
Authors: Konstantina Chrysafiadi, Maria Virvou
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-12895-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-12894-8Published: 09 December 2014
Softcover ISBN: 978-3-319-36048-5Published: 22 September 2016
eBook ISBN: 978-3-319-12895-5Published: 28 November 2014
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVII, 156
Number of Illustrations: 58 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Educational Technology, Multimedia Information Systems