E-Learning Systems: Intelligent Techniques for Personalization (Intelligent Systems Reference Library, 112, Band 112) [Hardcover] Klašnja-Mili?evi?, Aleksandra; Vesin, Boban; Ivanovi?, Mirjana; Budimac, Zoran and Jain, Lakhmi C.. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 83 von 188 - Intelligent Systems Reference Library
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- Hardcover
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- Titel
- E-Learning Systems: Intelligent Techniques for Personalization (Intelligent Systems Reference Library, 112, Band 112) [Hardcover] Klašnja-Mili?evi?, Aleksandra; Vesin, Boban; Ivanovi?, Mirjana; Budimac, Zoran and Jain, Lakhmi C.
- Autor
- Klašnja-Milićević, Aleksandra; Vesin, Boban; Ivanović, Mirjana; Budimac, Zoran; Jain, Lakhmi C.
- Verlag
- Springer
- Erscheinungsjahr
- 2016
- Zustand
- As New
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 3319411616
- ISBN-13
- 9783319411613
- Auflage
- 1. Auflage
- Serie
- Buch 83 von 188: Intelligent Systems Reference Library
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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Von der hinteren Coverseite
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.
„Über diesen Titel“ gehört möglicherweise zu einer anderen Auflage dieses Titels.