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E-Learning Systems
Title statement E-Learning Systems [electronic resource] : Intelligent Techniques for Personalization / by Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain. Publication Cham : Springer International Publishing : Imprint: Springer, 2017. Phys.des. XXIII, 294 p. 126 illus., 102 illus. in color. online resource. ISBN 9783319411637 Edition Intelligent Systems Reference Library, ISSN 1868-4394 ; 112 Contents 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. Notes to Availability Přístup pouze pro oprávněné uživatele Another responsib. Vesin, Boban. Ivanović, Mirjana. Budimac, Zoran. Jain, Lakhmi C. Another responsib. SpringerLink (Online service) Subj. Headings Engineering. * Artificial intelligence. * Educational technology. * Computational intelligence. Form, Genre elektronické knihy electronic books Country Německo Language angličtina Document kind Electronic books URL Plný text pro studenty a zaměstnance UPOL 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. .
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.
Number of the records: 1