E-Learning Systems: Intelligent Techniques for Personalization (Intelligent Systems Reference Library, 112, Band 112) [Hardcover] Klašnja-Mili?evi?, Aleksandra; Vesin, Boban; Ivanovi?, Mirjana; Budimac, Zoran and Jain, Lakhmi C.. This item is unavailable.
Language: English
Published by Springer, 2016
Series: Book 83 of 188 - Intelligent Systems Reference Library
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- Hardcover
- Used
Condition: Used - As new
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- Title
- E-Learning Systems: Intelligent Techniques for Personalization (Intelligent Systems Reference Library, 112, Band 112) [Hardcover] Klašnja-Mili?evi?, Aleksandra; Vesin, Boban; Ivanovi?, Mirjana; Budimac, Zoran and Jain, Lakhmi C.
- Author
- Klašnja-Milićević, Aleksandra; Vesin, Boban; Ivanović, Mirjana; Budimac, Zoran; Jain, Lakhmi C.
- Publisher
- Springer
- Publication year
- 2016
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319411616
- ISBN 13
- 9783319411613
- Edition
- 1. Auflage
- Series
- Book 83 of 188: Intelligent Systems Reference Library
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.