ctrlnum 10777
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unsri.ac.id/10777/</relation><title>E-Learning Systems - 2017</title><creator>Aleksandra, Kla&#x161;nja-Mili&#x107;evi&#x107;</creator><creator>Boban, Vesin</creator><creator>Mirjana, Ivanovi&#x107;</creator><creator>Zoran, Budimac</creator><creator>Lakhmi C, Jain</creator><subject>LB3050-3060.87 Educational tests, measurements, evaluations and examinations</subject><subject>Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.</subject><subject>QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages</subject><description>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.&#xD; &#xD; 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.&#xD; &#xD; Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language.&#xD; &#xD; The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.</description><publisher>Springer International Publishing</publisher><contributor>Janusz, Kacprzyk</contributor><contributor>Lakhmi C, Jain</contributor><date>2017</date><type>Book:Book</type><type>PeerReview:PeerReviewed</type><identifier> Aleksandra, Kla&#x161;nja-Mili&#x107;evi&#x107; and Boban, Vesin and Mirjana, Ivanovi&#x107; and Zoran, Budimac and Lakhmi C, Jain (2017) E-Learning Systems - 2017. Intelligent Systems Reference Library, 112 . Springer International Publishing, Switzerland. ISBN 9783319411637 </identifier><relation>https://doi.org/10.1007/978-3-319-41163-7</relation><relation>doi:10.1007/978-3-319-41163-7</relation><recordID>10777</recordID></dc>
format Book:Book
Book
PeerReview:PeerReviewed
PeerReview
author Aleksandra, Klašnja-Milićević
Boban, Vesin
Mirjana, Ivanović
Zoran, Budimac
Lakhmi C, Jain
author2 Janusz, Kacprzyk
Lakhmi C, Jain
title E-Learning Systems - 2017
publisher Springer International Publishing
publishDate 2017
isbn 9783319411637
topic LB3050-3060.87 Educational tests
measurements
evaluations and examinations
Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation
QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages
url http://repository.unsri.ac.id/10777/
https://doi.org/10.1007/978-3-319-41163-7
contents 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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institution Universitas Sriwijaya
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repoId IOS8119
first_indexed 2020-03-23T07:57:21Z
last_indexed 2020-03-23T07:57:21Z
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