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Adaptive Learning Diagnosis Mechanisms for E-Learning

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7196)

Abstract

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.

Keywords

  • Learning Diagnosis
  • e-Learning

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© 2012 Springer-Verlag Berlin Heidelberg

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Wu, Y. (2012). Adaptive Learning Diagnosis Mechanisms for E-Learning. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28487-8_10

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  • DOI: https://doi.org/10.1007/978-3-642-28487-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28486-1

  • Online ISBN: 978-3-642-28487-8

  • eBook Packages: Computer ScienceComputer Science (R0)