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E-Learning Systems
Details
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319822846
- Auflage Softcover reprint of the original 1st edition 2017
- Sprache Englisch
- Genre Allgemeines & Lexika
- Lesemotiv Verstehen
- Größe H235mm x B155mm x T18mm
- Jahr 2018
- EAN 9783319822846
- Format Kartonierter Einband
- ISBN 3319822845
- Veröffentlichung 31.05.2018
- Titel E-Learning Systems
- Autor Aleksandra Kla nja-Mili evi , Boban Vesin , Mirjana Ivanovi , Zoran Budimac , Lakhmi C. Jain
- Untertitel Intelligent Techniques for Personalization
- Gewicht 487g
- Herausgeber Springer
- Anzahl Seiten 320