Abstract
Classical approaches for supporting tutoring services face several limitations for ill-defined domains. To overcome these limitations, we argue for the utilization of hybrid approaches for supporting tutoring services. In this paper, we describe a hybrid model that combines an expert system, the model-tracing paradigm, and a data mining approach in an ITS for learning to operate a robotic arm. The result is tutoring services that exceed what was possible to offer with each individual approach for this domain. © 2010 Springer-Verlag.
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CITATION STYLE
Fournier-Viger, P., Nkambou, R., Mephu Nguifo, E., & Mayers, A. (2010). ITS in ill-defined domains: Toward hybrid approaches. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6095 LNCS, pp. 318–320). https://doi.org/10.1007/978-3-642-13437-1_57
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