Bayesian Student Modeling

Author:

Conati Cristina

Publisher

Springer Berlin Heidelberg

Reference27 articles.

1. Arroyo, I., Woolf, B.: Inferring learning and attitudes from a Bayesian Network of log file data. In: 12th International Conference on Artificial Intelligence in Education, AIED 2005 (2005)

2. Bunt, A., Conati, C., Hugget, M., Muldner, K.: On Improving the Effectiveness of Open Learning Environments through Tailored Support for Exploration. In: 10th World Conference of Artificial Intelligence and Education, AIED 2001 (2001)

3. Buntine, W.: A Guide to the Literature on Learning Probabilistic Networks from Data. IEEE Transactions on Knowledge and Data Engineering 8(2), 195–210 (1996)

4. Chi, M.: Self-explaining: The dual processes of generating inference and repairing mental models. In: Glaser, R. (ed.) Advances in instructional psychology: Educational design and cognitive science, vol. (5), pp. 161–238. Lawrence Erlbaum Associates, Mahwah (2000)

5. Conati, C., Maclaren, H.: Empirically Building and Evaluating a Probabilistic Model of User Affect. Modeling and User-Adapted Interaction 19(3), 267–303 (2009)

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