Preface |
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xi | |
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xiii | |
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xv | |
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xix | |
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xxi | |
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1 | (2) |
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2 Intelligent Tutoring Systems: Preliminary Thoughts |
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3 | (20) |
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2.1 Organized Teaching and Learning Processes |
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3 | (10) |
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2.1.1 The Open Future of Human Beings |
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5 | (4) |
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2.1.2 Learning to Determine Oneself |
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9 | (1) |
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2.1.3 Education as a Non-Deterministic Process |
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10 | (3) |
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2.2 Computer Technology as a Medium in Teaching and Learning |
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13 | (2) |
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2.3 The History of Adaptive Assistant Systems for Teaching and Learning |
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15 | (4) |
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19 | (4) |
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3 The INTUITEL Approach: Foundations and Design |
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23 | (56) |
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3.1 Pedagogical Ontology and Reasoning |
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23 | (7) |
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25 | (2) |
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3.1.2 Vocabulary of Knowledge Types |
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27 | (1) |
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3.1.2.1 Receptive knowledge types |
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27 | (1) |
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3.1.2.2 Interactive knowledge types |
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28 | (1) |
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3.1.2.3 Cooperative knowledge types |
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28 | (1) |
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3.1.3 Media Type Vocabulary |
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28 | (1) |
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28 | (1) |
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28 | (1) |
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28 | (2) |
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3.2 Learning Analytics by Didactic Factors |
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30 | (7) |
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3.3 Learning Progress and Learning Pathways |
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37 | (18) |
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3.3.1 INTUITEL Recommendation Process |
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38 | (1) |
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3.3.2 Comparison to Real-Life Tutoring |
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38 | (1) |
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39 | (1) |
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40 | (1) |
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40 | (1) |
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41 | (1) |
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41 | (1) |
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3.3.8 Set-based Rating of Learning Objects |
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42 | (4) |
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3.3.9 Learning Progress and Learner Position |
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46 | (1) |
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3.3.10 Determination of the Next KO |
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46 | (3) |
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3.3.11 Cognitive Content Space |
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49 | (1) |
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3.3.12 Multidimensional Cognitive Space |
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49 | (2) |
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3.3.13 Example for Learner Positions |
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51 | (3) |
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3.3.14 Learner-State Ontology: The Output of the LPM |
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54 | (1) |
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3.4 Software Architecture |
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55 | (7) |
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55 | (1) |
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56 | (1) |
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3.4.1.2 User Score Extraction (USE) |
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56 | (1) |
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3.4.1.3 Learning Object Recommender (LORE) |
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57 | (1) |
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3.4.1.4 Tutorial Guidance (TUG) |
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57 | (1) |
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58 | (1) |
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59 | (1) |
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59 | (1) |
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60 | (1) |
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60 | (1) |
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3.4.3.4 Recommendation rewriter |
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61 | (1) |
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61 | (1) |
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62 | (14) |
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66 | (1) |
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3.5.2 Push Update with Learner Polling |
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66 | (1) |
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3.5.3 Learning Objects Mapping and Inventory |
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67 | (2) |
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69 | (1) |
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3.5.5 Tutorial Guidance -- TUG |
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70 | (1) |
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3.5.6 Immediate Response from the LMS |
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71 | (1) |
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3.5.7 Delayed Response from the Learner |
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71 | (1) |
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3.5.8 Learning Object Recommender -- LORE |
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72 | (1) |
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3.5.9 User Score Extraction -- USE |
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73 | (1) |
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3.5.9.1 Primary use case: Performance data request |
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73 | (1) |
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3.5.9.2 Secondary use case: Environmental data request |
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74 | (2) |
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3.6 The Semantic Learning Object Model SLOM |
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76 | (3) |
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4 Prototype Implementation |
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79 | (56) |
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79 | (2) |
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81 | (1) |
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82 | (1) |
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4.2.1.1 Implementation and architecture |
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82 | (4) |
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4.2.1.2 How to configure INTUITEL in a Moodle site |
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86 | (1) |
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4.2.1.3 How to enable INTUITEL in a Moodle course |
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86 | (1) |
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87 | (1) |
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4.2.2.1 Course Creation in IMC learning suite |
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88 | (2) |
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4.2.2.2 Accessing courses through IMC learning portal |
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90 | (3) |
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93 | (1) |
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94 | (1) |
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4.2.3.1 Plugin implementation |
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95 | (2) |
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97 | (1) |
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98 | (1) |
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99 | (1) |
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4.2.4 eXact learning LCMS |
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99 | (1) |
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4.2.4.1 About eXact learning LCMS |
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100 | (1) |
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101 | (1) |
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102 | (2) |
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4.3 Compatibility to Existing Learning Formats |
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104 | (6) |
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Luis de-la-Fuente-Valentin |
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4.3.1 The Transformation Approach |
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105 | (3) |
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4.3.2 Implemented Transformations |
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108 | (1) |
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108 | (1) |
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4.3.2.2 IMS Learning Design |
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108 | (1) |
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4.3.2.3 Semantic MediaWiki |
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109 | (1) |
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4.3.2.4 Integration in a common format: INTUITEL merger |
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109 | (1) |
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4.3.2.5 Architectural principles |
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109 | (1) |
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4.3.2.6 Merger use cases: Standalone or integrated |
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110 | (1) |
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110 | (18) |
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4.4.1 Advanced Java Concepts |
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111 | (1) |
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111 | (1) |
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4.4.1.2 Example run through the course |
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112 | (4) |
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116 | (4) |
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120 | (8) |
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4.5 Evaluation and Testing |
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128 | (7) |
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Luis de-la-Fuente-Valentin |
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135 | (8) |
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135 | (1) |
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5.2 Operationalization of Didactic Factors |
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136 | (2) |
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5.3 The Hypercube Database Project |
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138 | (5) |
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5.3.1 The Advanced Hypercube Model |
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138 | (1) |
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5.3.2 Example Applications |
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139 | (1) |
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5.3.3 Implementation of the Hypercube Database |
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139 | (4) |
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143 | (1) |
References |
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143 | (8) |
Index |
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151 | (8) |
About the Editors |
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159 | |