E-Learning Systems

Intelligent Techniques for Personalization

ISBN: 978-3-319-41161-3 (Print) 978-3-319-41163-7 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xxiii

  2. Preliminaries

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-17

      Introduction to E-Learning Systems

  3. E-Learning Systems Personalization

    1. Front Matter

      Pages 19-19

    2. No Access

      Chapter

      Pages 21-25

      Personalization and Adaptation in E-Learning Systems

    3. No Access

      Chapter

      Pages 27-36

      Personalization Based on Learning Styles

    4. No Access

      Chapter

      Pages 37-42

      Adaptation in E-Learning Environments

    5. No Access

      Chapter

      Pages 43-49

      Agents in E-Learning Environments

    6. No Access

      Chapter

      Pages 51-75

      Recommender Systems in E-Learning Environments

    7. No Access

      Chapter

      Pages 77-112

      Folksonomy and Tag-Based Recommender Systems in E-Learning Environments

  4. Semantic Web Technologies in E-Learning

    1. Front Matter

      Pages 113-113

    2. No Access

      Chapter

      Pages 115-148

      Semantic Web

    3. No Access

      Chapter

      Pages 149-182

      Design and Implementation of General Tutoring System Model

  5. Case Study: Design and Implementation of Programming Tutoring System

    1. Front Matter

      Pages 183-183

    2. No Access

      Chapter

      Pages 185-212

      Design, Architecture and Interface of Protus 2.1 System

    3. No Access

      Chapter

      Pages 213-257

      Personalization in Protus 2.1 System

  6. Evaluation and Discussion

    1. Front Matter

      Pages 259-259

    2. No Access

      Chapter

      Pages 261-285

      Experimental Evaluation of Protus 2.1

    3. No Access

      Chapter

      Pages 287-294

      Conclusions and Future Directions