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Evolution of Teaching and Learning Paradigms in Intelligent Environment

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Cover of 'Evolution of Teaching and Learning Paradigms in Intelligent Environment'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to the Evolution of Teaching and Learning Paradigms
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    Chapter 2 Evolution of Teaching and Learning Paradigms in Intelligent Environment
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    Chapter 3 Problem-Based Learning in an e-Learning Environment: A Case Study at Griffith University School of Medicine
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    Chapter 4 Educational Ontologies Construction for Personalized Learning on the Web
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    Chapter 5 Sequencing in Web-Based Education: Approaches, Standards and Future Trends
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    Chapter 6 From Dungeons to Classrooms: The Evolution of MUDs as Learning Environments
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    Chapter 7 The Development of an Approach to Learning Within the Middle Schooling Paradigm
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    Chapter 8 Applying Data Mining Techniques to e-Learning Problems
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    Chapter 9 Data Mining of Virtual Campus Data
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    Chapter 10 Technology and Pedagogy – How to Learn Technique
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    Chapter 11 Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Study
Attention for Chapter 3: Problem-Based Learning in an e-Learning Environment: A Case Study at Griffith University School of Medicine
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