Abstract
Tailoring material to the individual learner for delivery on handheld computers represents a major challenge. Most of the current work in mobile intelligent tutoring systems is more related with personalized systems because they do not support any artificial intelligent technique for implementing the adaptive part in the applications. In this paper, we present MLTutor, an author tool to facilitate the creation of adaptive learning material to be used in mobile devices applying an artificial intelligence approach.
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Zatarain, R., Barrón-Estrada, M.L., Sandoval-Sánchez, G.A., Reyes-García, C.A. (2008). Authoring Mobile Intelligent Tutoring Systems. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds) Intelligent Tutoring Systems. ITS 2008. Lecture Notes in Computer Science, vol 5091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69132-7_97
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DOI: https://doi.org/10.1007/978-3-540-69132-7_97
Publisher Name: Springer, Berlin, Heidelberg
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