Overview
- Provides a comprehensive research review of intelligent techniques for personalization of e-learning systems
- Examines the incorporation of a recommender system based on collaborative tagging techniques in a tutoring system
- Presents a new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system
- Observes the explicit conceptualization of system components in a form of ontology facilitates knowledge sharing, knowledge reuse, communication and collaboration and construction of knowledge rich and intensive systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 112)
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About this book
This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge.
A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph.
Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.
The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.
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Table of contents (13 chapters)
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Front Matter
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Preliminaries
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Front Matter
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E-Learning Systems Personalization
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Front Matter
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Semantic Web Technologies in E-Learning
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Front Matter
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Case Study: Design and Implementation of Programming Tutoring System
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Front Matter
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Evaluation and Discussion
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Front Matter
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Reviews
“This is a collection of chapters that link together to form a comprehensive examination of how to personalize an e-learning experience. There are five parts; each part is self-contained and leads the reader onto the next logical topic. … it should be important reading for those involved in advanced e-learning systems. The knowledge contained in these pages demonstrates the future of education and e-learning in particular.” (S. M. Godwin, Computing Reviews, November, 2016)
Authors and Affiliations
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Bibliographic Information
Book Title: E-Learning Systems
Book Subtitle: Intelligent Techniques for Personalization
Authors: Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-41163-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-41161-3Published: 27 July 2016
Softcover ISBN: 978-3-319-82284-6Published: 31 May 2018
eBook ISBN: 978-3-319-41163-7Published: 19 July 2016
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXIII, 294
Number of Illustrations: 24 b/w illustrations, 102 illustrations in colour
Topics: Computational Intelligence, Educational Technology, Information Systems Applications (incl. Internet), Artificial Intelligence