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E-Learning Systems [electronic resource] : Intelligent Techniques for Personalization / by Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain.

By: Klašnja-Milićević, Aleksandra [author.].
Contributor(s): Vesin, Boban [author.] | Ivanović, Mirjana [author.] | Budimac, Zoran [author.] | Jain, Lakhmi C [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Intelligent Systems Reference Library: 112Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XXIII, 294 p. 126 illus., 102 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319411637.Subject(s): Computational intelligence | Educational technology | Application software | Artificial intelligence | Computational Intelligence | Digital Education and Educational Technology | Computer and Information Systems Applications | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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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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.

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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