E-Learning Systems Intelligent Techniques for Personalization

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 k...

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Bibliographic Details
Main Authors: Klašnja-Milićević, Aleksandra, Vesin, Boban (Author), Ivanović, Mirjana (Author), Budimac, Zoran (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Intelligent Systems Reference Library
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a E-Learning Systems  |h Elektronische Ressource  |b Intelligent Techniques for Personalization  |c by Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain 
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260 |a Cham  |b Springer International Publishing  |c 2017, 2017 
300 |a XXIII, 294 p. 126 illus., 102 illus. in color  |b online resource 
505 0 |a Part I Preliminaries -- Part II E-Learning Systems Personalization -- Part III Semantic Web Technologies in E-Learning -- Part IV Case Study: Design and Implementation of Tutoring System -- Part V Evaluation and Discussion 
653 |a Digital Education and Educational Technology 
653 |a Computational intelligence 
653 |a Artificial Intelligence 
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653 |a Educational technology 
653 |a Artificial intelligence 
653 |a Computer and Information Systems Applications 
700 1 |a Vesin, Boban  |e [author] 
700 1 |a Ivanović, Mirjana  |e [author] 
700 1 |a Budimac, Zoran  |e [author] 
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520 |a 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.