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E-learning systems = intelligent tec...

Klasnja-Milicevic, Aleksandra.

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E-learning systems = intelligent techniques for personalization /

Record Type:	Electronic resources : Monograph/item
Title/Author:	E-learning systems/ by Aleksandra Klasnja-Milicevic ... [et al.].
Reminder of title:	intelligent techniques for personalization /
other author:	Klasnja-Milicevic, Aleksandra.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xxiii, 294 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Web-based instruction. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-41163-7
ISBN:	9783319411637

E-learning systems = intelligent techniques for personalization /
E-learning systemsintelligent techniques for personalization /[electronic resource] :by Aleksandra Klasnja-Milicevic ... [et al.]. - Cham :Springer International Publishing :2017. - xxiii, 294 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.1121868-4394 ;. - Intelligent systems reference library ;v.112..

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.

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.

ISBN: 9783319411637

Standard No.: 10.1007/978-3-319-41163-7doiSubjects--Topical Terms:

576319
Web-based instruction.

LC Class. No.: LB1044.87

Dewey Class. No.: 371.358

E-learning systems = intelligent techniques for personalization /
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245 0 0 $a E-learning systems $h [electronic resource] : $b intelligent techniques for personalization / $c by Aleksandra Klasnja-Milicevic ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxiii, 294 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.112
505 0 $a 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.
520 $a 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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650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
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650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
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