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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Adaptive Learning Diagnosis Mechanisms for E-Learning
verfasst von : YuLung Wu
Erschienen in: Intelligent Information and Database Systems
Verlag: Springer Berlin Heidelberg
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In class teaching with a large number of students, teachers lack sufficient time in understanding individual student learning situation. The framework of learning activity in this study is based on the Learning Diagnosis Diagram. Before conducting learning activities, teachers must prepare Learning Diagnosis Diagrams. This work proposes an adaptive Learning Diagnosis Diagram to consider differences among students. The proposed system provides a personalized Learning Diagnosis Diagram for individual students and adjusts learning phases to automatically fit student achievement. The learning evaluation demonstrates the effectiveness of the proposed method. The evaluation shows that the Learning Diagnosis Diagram can provide an adaptive learning environment for students.