E-Learning Systems
Klašnja-Milićević, Aleksandra.
E-Learning Systems Intelligent Techniques for Personalization / [electronic resource] : - 1st ed. 2017. - XXIII, 294 p. 126 illus., 102 illus. in color. | Binding - Card Paper | - Intelligent Systems Reference Library, 112 1868-4394 ; . - Intelligent Systems Reference Library, 112 .
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. .
9783319411637
Computer Engineering
Educational Technology. Information Systems Applications (incl. Internet). Artificial Intelligence.
006.3
E-Learning Systems Intelligent Techniques for Personalization / [electronic resource] : - 1st ed. 2017. - XXIII, 294 p. 126 illus., 102 illus. in color. | Binding - Card Paper | - Intelligent Systems Reference Library, 112 1868-4394 ; . - Intelligent Systems Reference Library, 112 .
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. .
9783319411637
Computer Engineering
Educational Technology. Information Systems Applications (incl. Internet). Artificial Intelligence.
006.3