E-learning systems : intelligent techniques for personalization /

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Bibliographic Details
Imprint:Switzerland : Springer, [2016]
©2017
Description:1 online resource (xxiii, 294 pages) : illustrations (some color)
Language:English
Series:Intelligent systems reference library, 1868-4394 ; volume 112
Intelligent systems reference library ; v. 112.
Subject:Web-based instruction.
Educational equipment & technology, computer-aided learning (Calif.)
Information retrieval.
Artificial intelligence.
EDUCATION -- Administration -- General.
EDUCATION -- Organizations & Institutions.
Web-based instruction.
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11264788
Hidden Bibliographic Details
Other authors / contributors:Klašnja-Milićević, Aleksandra, author.
Vesin, Boban, author.
Ivanović, Mirjana, author.
Budimac, Zoran, author.
Jain, L. C., author.
ISBN:9783319411637
3319411632
9783319411613
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed July 29, 2016).
Summary: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. .
Other form:Print version: Klasnja-Milićević, Aleksandra E-Learning Systems : Intelligent Techniques for Personalization Cham : Springer,c2016 9783319411613
Description
Summary:

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.

Physical Description:1 online resource (xxiii, 294 pages) : illustrations (some color)
Bibliography:Includes bibliographical references.
ISBN:9783319411637
3319411632
9783319411613
ISSN:1868-4394
;