Abstract
We describe in this paper an ITS called SIAL that supports the learning of problem solving skills in computational logic from obtaining the clause form of simple well formed formulae to hyperresolution. The core function in SIAL is the error diagnosis module, that has the role of detecting and interpreting the mistakes of the learner while he/she is solving the exercises. It combines both model-based and knowledge-based (expertise) diagnosis in order to achieve more accurate results. SIAL complements this core function with a flexible user interface and a pedagogical module that offers three modes of interaction adapted to the learner’s level of expertise. SIAL is currently being tested by a group of volunteers in order to measure and tune its accuracy, as a preliminary step before performing tests in real conditions.
This work has been funded by the “Junta de Castilla y León” project VA04/99.
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Maestro, J.A., Simón, M.A., López, M., Martínez, A., Alonso, C.J. (2004). A Proposal of Diagnosis for an ITS for Computational Logic. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_9
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DOI: https://doi.org/10.1007/978-3-540-25945-9_9
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