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Index
Cover Frontmatter 1. Preliminaries
1. Introduction to E-Learning Systems
2. E-Learning Systems Personalization
2. Personalization and Adaptation in E-Learning Systems 3. Personalization Based on Learning Styles 4. Adaptation in E-Learning Environments 5. Agents in E-Learning Environments 6. Recommender Systems in E-Learning Environments 7. Folksonomy and Tag-Based Recommender Systems in E-Learning Environments
3. Semantic Web Technologies in E-Learning
8. Semantic Web 9. Design and Implementation of General Tutoring System Model
4. Case Study: Design and Implementation of Programming Tutoring System
10. Design, Architecture and Interface of Protus 2.1 System 11. Personalization in Protus 2.1 System
5. Evaluation and Discussion
12. Experimental Evaluation of Protus 2.1 13. Conclusions and Future Directions
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