Adaptive Bayes for a Student Modeling Prediction Task Based on Learning Styles

Author:

Castillo Gladys,Gama João,Breda Ana M.

Publisher

Springer Berlin Heidelberg

Reference5 articles.

1. Carver, C.A., Howard, R.A., Lane, W.D.: Enhancing Student Learning Trough Hypermedia Courseware and Incorporation of Student Learning Styles. IEEE Transactions on Education, vol 42, no 1 (1999) 33:38

2. Felder, R.M., Soloman, B.A.: Index of Learning Style Questionnaire, available online at http://www2.ncsu.edu/unity/lockers/users/f/felder/public/ILSdir/ilsweb.html

3. Gama, J., Castillo, G.: Adaptive Bayes for User Modeling. Advances in Artificial Intelligence-IBERAMIA 2002, LNAI 2527, Springer Verlag (2002) 765:774

4. Koychev, I., Schwab, I.: Adaptation to Drifting User’s Interests. In Proceedings of ECML2000 Workshop: Machine Learning in New Information Age, Spain (2000)

5. Webb, G., Pazzani, M., Billsus, D.: Machine Learning for User Modeling. User Modeling and User-Adapted Interaction, 11 (2001) 19:29

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