Abstract
This paper describes the design and implementation of Logic-Muse, an Intelligent Tutoring System (ITS) that helps learners develop reasoning skills on various contents. The study was conducted jointly with the active participation of logicians and reasoning psychologists. Logic-Muse’s current version was internally validated. It is focused on propositional logic and supports learners reasoning in a wide range of situations.
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Barnes, T., Stamper, J.: Automatic Hint Generation for Logic Proof Tutoring Using Historical Data. Educational Technology & Society 13(1), 3–12 (2010)
Brisson, J., de Chantal, P.-L., Lortie-Forgues, H., Markovits, H.: Thinking & Reasoning (2014): Belief bias is stronger when reasoning is more difficult. Thinking & Reasoning (2014)
Evans, J.S.B.T., Newstead, S.E., Byrne, R.M.J.: Human Reasoning. Psychology Press (1993)
Stanovich, K.E.: Rationality and the reflexive mind. Oxford University Press, Oxford (2011)
Lesta, L., Yacef, K.: An intelligent teaching assistant system for logic. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 421–431. Springer, Heidelberg (2002)
Robert, S.: Logique de la découverte et naturalisation de la connaissance: L’épistémologie historique d’Imre Lakatos. Presses de l’Université Laval, Québec (2009)
Tchetagni, J., Nkambou, R., Bourdeau, J.: Explicit Reflection in Prolog-Tutor. International Journal on Artificial Intelligence in Education 17(2), 169–217 (2007)
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Nkambou, R., Kenfack, C., Robert, S., Brisson, J. (2015). The Design Rationale of Logic-Muse, an ITS for Logical Reasoning in Multiple Contexts. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_105
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DOI: https://doi.org/10.1007/978-3-319-19773-9_105
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