Bayesian Networks in Intelligent Tutoring Systems as an Assessment of Student Performance using Student Modeling

Author:

Alday Roselie B.1

Affiliation:

1. Lyceum of the Philippines University, Capitol Site, Batangas City, Philippines

Publisher

ACM Press

Reference9 articles.

1. Butz, C. J., Hua, S., & Maguire, R. B. (2004, September). A web-based intelligent tutoring system for computer programming. In Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on(pp. 159--165). IEEE.

2. Conati, C., Gertner, A., & Vanlehn, K. (2002). Using Bayesian networks to manage uncertainty in student modeling. User modeling and user-adapted interaction, 12(4), 371--417.

3. Elsom-Cook, M. (1993). Student modelling in intelligent tutoring systems. Artificial Intelligence Review, 7(3-4), 227--240.

4. Gamboa, H., & Fred, A. (2002). Designing intelligent tutoring systems: a bayesian approach. Enterprise Information Systems III. Edited by J. Filipe, B. Sharp, and P. Miranda. Springer Verlag: New York, 146--152.

5. Hall, P.S. Wood P.(1990) Intelligent Tutoring Systems: A review for beginners. Canadian Journal of Education Communication, 19(2), 107--123.

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