Abstract
Multi-Strategic Pedagogical Systems (MSPSs) achieve effective learning by dynamically switching to the Pedagogical Strategy (PS) appropriate to the student mental state. Since, within the same session, the Student Cognitive State (SCS) frequently changes as a consequence of learning. However, the integration of different PSs and the mixture of the Pedagogical Strategy Switching (PSS) logic with the pedagogical logic in a single closed monolithic cognitive entity was making this kind of pedagogical systems too complex to construct and non-reusable in most cases. To overcome the above mentioned deficiencies, within this paper, we propose a new design model of MSPSs. We call this model a Multi-Strategic Pedagogical Agent (MSPA) and it is devoted to construct MSPSs that self-reconfigure their internal structure to implement the appropriate PS regarding the SCS.
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Boulehouache, S., Maamri, R., Sahnoun, Z. (2017). Toward Component-Based Self-Adaptive Multi-Strategic Pedagogical Agents. In: Bramer, M., Petridis, M. (eds) Artificial Intelligence XXXIV. SGAI 2017. Lecture Notes in Computer Science(), vol 10630. Springer, Cham. https://doi.org/10.1007/978-3-319-71078-5_16
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DOI: https://doi.org/10.1007/978-3-319-71078-5_16
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