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. © 2012 Springer-Verlag.
CITATION STYLE
Wu, Y. L. (2012). Adaptive learning diagnosis mechanisms for E-learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7196 LNAI, pp. 102–110). https://doi.org/10.1007/978-3-642-28487-8_10
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