Abstract
Although E-learning system had become a popular intelligent teaching system in the world, with the development of artificial psychological technologies and the demand of people, it become a hot research topic that intelligent system combined with affective model. The paper proposed an affective model based on BDI Agent with E-learning system. It got teacher’s subjective affective data in the form of questionnaire and obtained affective transfer matrix with the method of fuzzy statistic. By designing the interpreter based on constructing Bayesian Network, it achieved the deduction on the changes of virtual teacher’s emotion, finally realizing the harmonious E-learning teaching environment.
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© 2011 Springer-Verlag Berlin Heidelberg
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Gu, X., Li, Q., Diao, R. (2011). Research of E-Learning Intelligent Affective Model Based on BDI Agent with Learning Materials. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_17
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DOI: https://doi.org/10.1007/978-3-642-23777-5_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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