|
|
|
|
LEADER |
02595nmm a2200385 u 4500 |
001 |
EB001228648 |
003 |
EBX01000000000000000871951 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
161005 ||| eng |
020 |
|
|
|a 9783319411637
|
100 |
1 |
|
|a Klašnja-Milićević, Aleksandra
|
245 |
0 |
0 |
|a E-Learning Systems
|h Elektronische Ressource
|b Intelligent Techniques for Personalization
|c by Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
|
250 |
|
|
|a 1st ed. 2017
|
260 |
|
|
|a Cham
|b Springer International Publishing
|c 2017, 2017
|
300 |
|
|
|a XXIII, 294 p. 126 illus., 102 illus. in color
|b online resource
|
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
|
653 |
|
|
|a Digital Education and Educational Technology
|
653 |
|
|
|a Computational intelligence
|
653 |
|
|
|a Artificial Intelligence
|
653 |
|
|
|a Application software
|
653 |
|
|
|a Computational Intelligence
|
653 |
|
|
|a Educational technology
|
653 |
|
|
|a Artificial intelligence
|
653 |
|
|
|a Computer and Information Systems Applications
|
700 |
1 |
|
|a Vesin, Boban
|e [author]
|
700 |
1 |
|
|a Ivanović, Mirjana
|e [author]
|
700 |
1 |
|
|a Budimac, Zoran
|e [author]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Intelligent Systems Reference Library
|
028 |
5 |
0 |
|a 10.1007/978-3-319-41163-7
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-41163-7?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 006.3
|
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.
|