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.
CITATION STYLE
Fenza, G., & Orciuoli, F. (2016). Building pedagogical models by formal concept analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9684, pp. 144–153). Springer Verlag. https://doi.org/10.1007/978-3-319-39583-8_14
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