Abstract
We describe an affective behavior model (ABM) for intelligent tutoring systems. The model is a Dynamic Decision Network that selects tutorial actions based on both the current affective and pedagogical state of a student, as well as on the assessment of the expected effect of each available action on the student. We integrated the ABM with an educational game to learn number factorization, and here we present the preliminary results of a user study to evaluate its effectiveness.
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Conati, C., Maclaren, H.: Data-driven Refinement of a Probabilistic Model of User Affect. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 40–49. Springer, Heidelberg (2005)
Hernández, Y., Sucar, L.E.: User study to evaluate an affective behavior model in an educational game. In: 13th International Conference on Artificial Intelligence in Education, AIED 2007, Workshop on Modeling and scaffolding affective experiences to impact learning, Marina del Rey, California, EU, July 9-13, pp. 57–66 (2007)
Manske, M., Conati, C.: Modelling Learning in an Educational Game. In: Looi, Ch., McCalla, G., Bredeweg, B., Breuker, J. (eds.) Proceedings of 12th International Conference n Artificial Intelligence in Education, AIED 2005, Amsterdam, The Netherlands, July 19-23, pp. 411–418 (2005)
Microsoft Corporation, Microsoft Agent, Web site, http://www.microsoft.com/msagent/default.asp (Retrieved on November 2005)
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Hernández, Y., Sucar, E., Conati, C. (2008). An Affective Behavior Model for Intelligent Tutors. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds) Intelligent Tutoring Systems. ITS 2008. Lecture Notes in Computer Science, vol 5091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69132-7_118
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DOI: https://doi.org/10.1007/978-3-540-69132-7_118
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69130-3
Online ISBN: 978-3-540-69132-7
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