Abstract
Open learning environments provide a large amount of freedom and control, which can be beneficial for students who are able to explore the environment effectively, but can also be problematic for those who are not. To address this problem, we have designed a student model that allows an open learning environment to provide the students with tailored feedback on the effectiveness of their exploration. The model, which uses Bayesian Networks, was created by an iterative design and evaluation process. The successive evaluations were used to improve the model and to provide initial support for its accuracy and usefulness.
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© 2002 Springer-Verlag Berlin Heidelberg
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Bunt, A., Conati, C. (2002). Assessing Effective Exploration in Open Learning Environments Using Bayesian Networks. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_70
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DOI: https://doi.org/10.1007/3-540-47987-2_70
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