Abstract
Because cooperative learning and Internet technologies are increasingly universal, how to help learners to learn effectively using the on-line learning systems and adopting teaching processes is increasingly important. Based on conceptual graph theory, this study proposed a strategy for efficiently storing learner knowledge structure and producing learning materials. By following the teaching process involved in giving lessons, the strategy uses the stored knowledge structure to produce adaptive group learning material for group learning activities. Additionally, this study used a curriculum to implement an experiment, and then used the experimental results to prove the ability of the proposed strategy to help learners to learn more efficiently.
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References
Ausubel, D.P.: Educational Psychology: A Cognitive View. Holt, Rinehart & Winston, New York (1968)
Ausubel, D.P., Novak, J.S., Hanesian, H.: Educational Psychology: A Cognitive View 2nd. Holt, Rinehart & Winston, New York (1978)
Frick, T.W.: Bayesian adaptation during computer-based tests and computer-guided practice exercises. Journal of Educational Computing Research 5(1), 89–114 (1989)
Gallegos, L., Jerezano, M.E., Flores, F.: Preconceptions and Relations Used by Children in the Construction of Food Chains. Journal of Research in Science Teaching 31(3), 259–272 (1994)
Hooper, S., Hannafin, M.J.: Cooperative CBI: The Effects of Heterogeneous Versus Homogenous Grouping on The Learning of Progressively Complex Concepts. Journal of Educational Computing Research 14(4), 413–424 (1988)
Johnson, D.W., Johnson, R.T.: Cooperation and Competition: Theory and Research. Interaction Book Co, Edina (1989)
Jong, B.S., Lin, T.W., Wu, Y.L., Chan, T.Y.: Diagnostic and Remedial Learning Strategy Based on Conceptual Graph. Journal of Computer Assisted Learning 20(5), 377–386 (2004)
Jong, B.S., Wu, Y.L., Chan, T.Y.: Dynamic Grouping Strategies Based on a Conceptual Graph for Cooperative Learning. To be published in IEEE Transactions on Knowledge and Data Engineering (2006) (accepted)
McClure, J.R., Sonak, B., Suen, H.K.: Concept map assessment of classroom learning: reli-ability, validity, and logistical practicality. Journal of Research in Science Teaching 36(4), 475–492 (1999)
Novak, J.D., Goin, D.B.: Learning how to learn. Cambridge University Press, New York (1984)
Oppermann, R., Specht, M.: A nomadic Information System for Adaptive Exhibition Guidance. In: International Cultural Heritage Meeting (ICHIM), Washington D.C., pp. 103–109 (1999)
Ruiz-Primo, M.A.: On the use of concept maps as an assessment tool in science: What we have learned so far. Electronic Journal of Educational Research 2, 29–52 (2000)
Schau, C., Mattern, N., Zeilik, M., Teague, K.W.: Select-And-Fill-In Concept Map Scores As a Measure Of Students’ Connected Understanding Of Science. Educational and Psychological Measurement 61(1), 136–158 (2001)
Wald, A.: Sequential Analysis. John Wiley & Sons Inc, New York (1947)
Webb, N.M.: Group Composition, Group Interaction, and Achievement in Cooperative Small Group. Journal of Educational Psychology 74(5), 642–655 (1982)
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Jong, BS., Chan, TY., Wu, YL., Lin, TW. (2006). Applying the Adaptive Learning Material Producing Strategy to Group Learning. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds) Technologies for E-Learning and Digital Entertainment. Edutainment 2006. Lecture Notes in Computer Science, vol 3942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11736639_8
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DOI: https://doi.org/10.1007/11736639_8
Publisher Name: Springer, Berlin, Heidelberg
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