E-Learning Systems

Intelligent Techniques for Personalization

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Reference & Language, Education & Teaching, Teaching, Computers & Technology, General Computing
Cover of the book E-Learning Systems by Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain, Springer International Publishing
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Author: Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain ISBN: 9783319411637
Publisher: Springer International Publishing Publication: July 19, 2016
Imprint: Springer Language: English
Author: Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
ISBN: 9783319411637
Publisher: Springer International Publishing
Publication: July 19, 2016
Imprint: Springer
Language: English

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.

 

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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