E-Learning Systems Intelligent Techniques for Personalization /

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 k...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Klašnja-Milićević, Aleksandra (Συγγραφέας), Vesin, Boban (Συγγραφέας), Ivanović, Mirjana (Συγγραφέας), Budimac, Zoran (Συγγραφέας), Jain, Lakhmi C. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Intelligent Systems Reference Library, 112
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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024 7 |a 10.1007/978-3-319-41163-7  |2 doi 
040 |d GrThAP 
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100 1 |a Klašnja-Milićević, Aleksandra.  |e author. 
245 1 0 |a E-Learning Systems  |h [electronic resource] :  |b Intelligent Techniques for Personalization /  |c by Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XXIII, 294 p. 126 illus., 102 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |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. . 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Educational technology. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Educational Technology. 
650 2 4 |a Information Systems Applications (incl. Internet). 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Vesin, Boban.  |e author. 
700 1 |a Ivanović, Mirjana.  |e author. 
700 1 |a Budimac, Zoran.  |e author. 
700 1 |a Jain, Lakhmi C.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319411613 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 112 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-41163-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)