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.. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2016
Serie: Libro 83 de 188 - Intelligent Systems Reference Library
- Primera edición
- Tapa dura
- Usado
Librería: SpringBooks, Berlin, AlemaniaSpringBooks
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- Título
- 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.
- Editorial
- Springer
- Año de publicación
- 2016
- Estado
- As New
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 3319411616
- ISBN 13
- 9783319411613
- Edición
- 1. Auflage
- Serie
- Libro 83 de 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.
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
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.
“Acerca de” puede pertenecer a otra edición de este título.