Abstract
This paper explores the application of argumentation dialogues to an Interactive Learning System (ILS). The goal of an ILS is to provide an adaptive learning experience for a student within a particular domain, where the system adjusts dynamically as the student makes mistakes and learns from them. The system needs to be able to represent beliefs about the student’s knowledge, and to update these beliefs as the student learns. The system also needs to have models of the domain and of an expert’s actions within the domain, in order to compare and evaluate the student’s actions. Finally, the system needs to provide appropriate feedback to the student, in such a way as to encourage learning. The work presented here describes a framework for such a system, built upon our earlier work on education dialogues.
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Sklar, E., Azhar, M.Q. (2012). Toward the Application of Argumentation to Interactive Learning Systems. In: McBurney, P., Parsons, S., Rahwan, I. (eds) Argumentation in Multi-Agent Systems. ArgMAS 2011. Lecture Notes in Computer Science(), vol 7543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33152-7_13
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DOI: https://doi.org/10.1007/978-3-642-33152-7_13
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