Abstract
The Pedagogical Model is one of the main components of an Intelligent Tutoring System. It is exploited to select a suitable action (e.g., feedback, hint) that the intelligent tutor provides to the learner in order to react to her interaction with the system. Such selection depends on the implemented pedagogical strategy and, typically, takes care of several aspects such as correctness and delay of the learner’s response, learner’s profile, context and so on. The main idea of this paper is to exploit Formal Concept Analysis to automatically learn pedagogical models from data representing human tutoring behaviours. The paper describes the proposed approach by applying it to an early case study.
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Notes
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This App has been developed by one of the authors of this paper and presented in a paper accepted at the \(8^{th}\) International Conference on Computer Supported Education (CSEDU 2016).
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Fenza, G., Orciuoli, F. (2016). Building Pedagogical Models by Formal Concept Analysis. In: Micarelli, A., Stamper, J., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science(), vol 9684. Springer, Cham. https://doi.org/10.1007/978-3-319-39583-8_14
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DOI: https://doi.org/10.1007/978-3-319-39583-8_14
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