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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References
Chang, F.C.I., Hung, L.P., Shih, T.K.: A New Courseware Diagram for Quantitative Measurement of Distance Learning Courses. Journal of Information Science and Engineering 19(6), 989–1014 (2003)
Goldsmith, T.E., Davenport, D.M.: Assessing structural similarity of graphs Pathfinder associative network: studies in knowledge organization, Norwood, pp. 75–87 (1990)
Goldsmith, T.E., Johnson, P.J., Acton, W.H.: Assessing Structural Knowledge. Journal of Educational Psychology 83(1), 88–96 (1991)
Hwang, G.J.: A conceptual map model for developing intelligent tutoring systems. Computers & Education 40(3), 217–235 (2002)
Jong, B.S., Chan, T.Y., Wu, Y.L.: Learning Log Explorer in E-learning Diagnosis. IEEE Transactions on Education 50(3), 216–228 (2007)
Jong, B.S., Lin, T.W., Wu, Y.L., Chan, T.Y.: An Efficient and Effective Progressive Cooperative Learning on the WEB. Journal of Information Science and Engineering 22(2), 425–446 (2006)
Jong, B.S., Wu, Y.L., Chan, T.Y.: Dynamic Grouping Strategies Based on a Conceptual Graph for Cooperative Learning. IEEE Transactions on Knowledge and Data Engineering 18(6), 738–747 (2006)
Novak, J.D., Goin, D.B.: Learning how to learn. Cambridge University Press, New York (1984)
Ruiz-Primo, M.A., Schultz, S.E., Li, M., Shavelson, R.J.: Comparison of the Reliability and Validity of Scores from Two concept-Mapping Techniques. Journal of Research In Science Teaching 38(2), 260–278 (2001)
Sowa, J.F.: Conceptual graphs for a data base interface. IBM Journal of Research and Development 20(4), 257–336 (1976)
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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
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