E-Learning Systems
Intelligent Techniques for Personalization
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Beschreibung
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.
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.
Provides a comprehensive research review of intelligent techniques for personalization of e-learning systems Examines the incorporation of a recommender system based on collaborative tagging techniques in a tutoring system Presents a new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system Observes the explicit conceptualization of system components in a form of ontology facilitates knowledge sharing, knowledge reuse, communication and collaboration and construction of knowledge rich and intensive systems Includes supplementary material: sn.pub/extras
Autor*in
Aleksandra Klašnja-Milićević
Themen in »E-Learning Systems«
Adaptation Collaborative Tagging E-learning Intelligent Systems Personalization Recommender Systems Semantic Web Tutoring System
Stimmen zu »E-Learning Systems«
“This is a collection of chapters that link together to form a comprehensive examination of how to personalize an e-learning experience. There are five parts; each part is self-contained and leads the reader onto the next logical topic. … it should be important reading for those involved in advanced e-learning systems. The knowledge contained in these pages demonstrates the future of education and e-learning in particular.” (S. M. Godwin, Computing Reviews, November, 2016)
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