基于境脉感知的同伴推荐研究2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

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Chapter 1 Introduction1

1.1 Research Background1

1.2 Purpose of this Study3

1.3 Book Overview5

Chapter 2 Theoretical Foundation of this Study8

2.1 Social Constructivism Theory10

2.2 Social Information Processing Theory12

2.3 Activity Theory15

Chapter 3 The e-Learning Context20

3.1 Two Concepts20

3.1.1 Context20

3.1.2 e-Learning25

3.2 Framework Description of the e-Learning Context27

3.2.1 Key Elements in e-Learning29

3.2.2 Learning Process based on Knowledge Transfer31

3.2.3 Knowledge Goals of e-Learning36

3.3 Knowledge Context37

3.4 Social Context41

3.5 Technical Context46

3.6 Mediator:Activity Context49

3.7 Modeling Knowledge,Social,Technical Contexts50

Chapter 4 Peer Interaction in the e-Learning Context55

4.1 Interaction56

4.2 Peer Interaction59

4.3 Computer-Mediated Communication62

4.4 Computer-supported Collaborative Learning66

4.5 Virtual Learning Community68

4.6 Support Potential Online Peer Interaction69

4.6.1 Knowledge Relevance72

4.6.2 Social Proximity73

4.6.3 Technical Mediation74

4.7 Motivation and Engagement in Peer Interaction75

Chapter 5 Three-dimensional Context-awareness Model for Peer Recommendation78

5.1 Literatures on Awareness79

5.1.1 The Concept of Awareness79

5.1.2 Classifications of Awareness79

5.1.3 Awareness Models81

5.1.4 Awareness Technology81

5.1.5 Knowledge Awareness82

5.1.6 Context-awareness and its Applications84

5.2 Three-dimensional Context-awareness Model for Peer Recommendation86

5.2.1 CA to Knowledge Relevance87

5.2.2 CA to Social Proximity89

5.2.3 CA to Technical Access97

5.3 A Case Study of Learners'Perceptions toward the CA Model98

5.3.1 Methodology99

5.3.2 Results of Questionnaires101

5.3.3 Findings103

Chapter 6 Context-awareness Supported Peer Recommendation Mechanism based on Mining Activity Context105

6.1 Literacy Review on Recommender Systems106

6.1.1 Information Filtering106

6.1.2 Content-based Approach for Recommendation107

6.1.3 Collaborative Filtering Approach for Recommendation108

6.1.4 SNA-based Approach for Recommendation109

6.1.5 Cold-start Problem in Recommender Systems110

6.1.6 Recommender System Assessment111

6.2 Context Management112

6.3 Activity Context114

6.3.1 Classifications of Activity Contexts115

6.3.2 Modeling Learning Activity Context117

6.3.3 Content Analysis of Learning Activity120

6.4 Framework Description of CA-supported Peer Recommendation Mechanism123

6.5 User Modeling124

6.6 Context Monitoring126

6.7 Context Filtering128

6.8 CA Visualization130

6.8.1 Information Visualization130

6.8.2 Social Visualization131

6.8.3 CA Visualization133

Chapter 7 A Case Study:PeerFinder135

7.1 Social Media135

7.2 Weblogs as the Test-bed137

7.3 The Design Space for Helping Learners Find Suitable Helpers139

7.4 System Configuration of PeerFinder140

7.5 Learning Activity Contexts in Weblogs141

7.6 Content Analysis in PeerFinder142

7.7 Recommendation Flow of PeerFinder143

7.8 Basis Strategies for Context Filtering in PeerFinder145

7.9 Mining Technical Context146

7.10 Indicators for CA Filtering147

7.11 Computing the Similarity among Learners149

Chapter 8 Discussions151

8.1 The Extensibility and Flexibility of the CA Model151

8.2 The Feasibility and Validity of the CA-supported Peer Recommendation Mechanism152

8.3 More Than Peer Recommendation154

8.3.1 Inspiration for the Construction of Learning Resources155

8.3.2 Decreasing the Learning Curve of New Learners157

8.3.3 Motivating Active and Potential Peer Interaction159

8.3.4 Inspirations for the Cultivation and Improvement of Online Learners'Learning Ability163

Chapter 9 Conclusions and Future Research167

9.1 Conclusions167

9.2 Future Research169

Bibliography171