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1 Student Modeling for Personalized Education: A Review of the Literature |
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1 | (24) |
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1 | (2) |
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1.2 Student Modeling Techniques and Methods |
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3 | (7) |
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3 | (1) |
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4 | (1) |
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1.2.3 Models for Misconceptions and Erroneous Knowledge |
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5 | (2) |
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1.2.4 Machine Learning Techniques |
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7 | (1) |
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7 | (1) |
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1.2.6 Modeling the Uncertainty of Learning |
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8 | (2) |
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1.2.7 Ontology-Based Student Modeling |
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10 | (1) |
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1.3 Student's Characteristics to Model |
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10 | (11) |
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11 | (3) |
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1.3.2 Errors/Misconceptions |
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14 | (2) |
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1.3.3 Cognitive Features Other Than Knowledge Level |
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16 | (3) |
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19 | (1) |
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1.3.5 Meta-Cognitive Features |
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20 | (1) |
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21 | (4) |
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2 Fuzzy Logic in Student Modeling |
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25 | (36) |
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25 | (1) |
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2.2 An Overview of Fuzzy Logic |
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26 | (6) |
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28 | (1) |
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2.2.2 Interval Type-2 Fuzzy Sets |
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28 | (1) |
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2.2.3 Rule-Based Fuzzy Logic System |
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29 | (2) |
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2.2.4 Applications of Fuzzy Logic |
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31 | (1) |
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2.3 Fuzzy Logic for Knowledge Representation |
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32 | (13) |
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2.3.1 Knowledge Domain Representation Using a Fuzzy Related-Concept Network |
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36 | (9) |
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2.4 A Novel Rule-Based Fuzzy Logic System for Modeling Automatically the Learning or Forgetting Process of a Student |
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45 | (14) |
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2.4.1 Integration of the Fuzzy Rules |
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49 | (1) |
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2.4.2 Application of the Presented Rule-Based Fuzzy Logic System in a Programming Tutoring System |
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50 | (9) |
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2.5 Conclusions and Discussion |
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59 | (2) |
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3 A Novel Hybrid Student Model for Personalized Education |
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61 | (30) |
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61 | (1) |
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62 | (2) |
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3.3 The F.O.S. Hybrid Student Model |
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64 | (5) |
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65 | (2) |
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67 | (1) |
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68 | (1) |
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69 | (3) |
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3.5 Application of F.O.S. in a Programming Tutoring System |
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72 | (7) |
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72 | (1) |
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73 | (1) |
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74 | (5) |
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3.5.4 Cognitive State Transitions of Learners of the Programming Tutoring System |
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79 | (1) |
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3.6 Examples of Operations |
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79 | (10) |
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89 | (2) |
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91 | (24) |
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91 | (2) |
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4.2 The Evaluation Method |
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93 | (4) |
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4.2.1 The Evaluation Framework PERSIVA |
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93 | (1) |
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4.2.2 The Evaluation Criteria |
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93 | (1) |
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4.2.3 The Evaluation Process |
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94 | (2) |
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4.2.4 The Evaluation Population |
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96 | (1) |
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97 | (17) |
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4.3.1 Learners' General Satisfaction |
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97 | (1) |
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4.3.2 Learners' Performance |
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97 | (2) |
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4.3.3 Changes on Learners' Behavior and Thoughts About Computer Programming |
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99 | (1) |
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4.3.4 Changes on Learners' Behavior and Thoughts About E-Learning |
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100 | (1) |
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4.3.5 Results on Learners' Further Studies |
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100 | (8) |
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4.3.6 Learners' Satisfaction About the System's Adaptive Responses to Their Needs |
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108 | (1) |
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4.3.7 The Validity of the Conclusions Drawn by the Student Model Concerning the Aspects of the Students' Characteristics |
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109 | (3) |
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4.3.8 The Validity of the Adaptation Decision Making of the Student Model |
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112 | (2) |
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114 | (1) |
Conclusions and Discussion |
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115 | (4) |
Appendix A The Matrixes of the System's FR-CN |
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119 | (10) |
Appendix B Questionnaires |
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129 | (8) |
Appendix C Screenshots |
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137 | (8) |
References |
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