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E-Learning Systems

Intelligent Techniques for Personalization

  • Provides a comprehensive research review of intelligent techniques for personalization of e-learning systems

  • Examines the incorporation of a recommender system based on collaborative tagging techniques in a tutoring system

  • Presents a new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system

  • Observes the explicit conceptualization of system components in a form of ontology facilitates knowledge sharing, knowledge reuse, communication and collaboration and construction of knowledge rich and intensive systems

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 112)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Preliminaries

    1. Front Matter
      Pages 1-1
    2. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 3-17
  3. E-Learning Systems Personalization

    1. Front Matter
      Pages 19-19
    2. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 21-25
    3. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 27-36
    4. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 37-42
    5. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 43-49
    6. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 51-75
    7. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 77-112
  4. Semantic Web Technologies in E-Learning

    1. Front Matter
      Pages 113-113
    2. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 115-148
    3. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 149-182
  5. Case Study: Design and Implementation of Programming Tutoring System

    1. Front Matter
      Pages 183-183
    2. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 185-212
    3. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 213-257
  6. Evaluation and Discussion

    1. Front Matter
      Pages 259-259
    2. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 261-285
    3. Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
      Pages 287-294

About this book

Introduction

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.

 

 

Keywords

Adaptation Collaborative Tagging E-learning Intelligent Systems Personalization Recommender Systems Semantic Web Tutoring System

Authors and affiliations

  1. 1.Faculty of Sciences, Department of Mathematics and InformaticsUniversity of Novi SadNovi SadSerbia
  2. 2.Department of Computer Science and EngineeringUniversity of Gothenburg/Chalmers, University of TechnologyGothenburgSweden
  3. 3.Department of Mathematics and Informatics, Faculty of SciencesUniversity of Novi SadNovi SadSerbia
  4. 4.Department of Mathematics & Informatics Faculty of SciencesUniversity of Novi SadNovi SadSerbia
  5. 5.University of CanberraCanberraAustralia

Bibliographic information

Reviews

“This is a collection of chapters that link together to form a comprehensive examination of how to personalize an e-learning experience. There are five parts; each part is self-contained and leads the reader onto the next logical topic. … it should be important reading for those involved in advanced e-learning systems. The knowledge contained in these pages demonstrates the future of education and e-learning in particular.” (S. M. Godwin, Computing Reviews, November, 2016)