Abstract
Intelligent Tutoring Systems (ITS) often use information about student learning style to inform the decision about what activity or information to present to the learner.However, learning style models are quite different from one another and are not interchangeable. This paper discusses an ontology of learning style models that enables tutoring systems to take advantage of learning styles information from multiple learning style models. © 2012 Springer-Verlag.
Cite
CITATION STYLE
McCuaig, J., & Gauthier, R. (2012). Interoperability for ITS: An ontology of learning style models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7315 LNCS, pp. 671–672). https://doi.org/10.1007/978-3-642-30950-2_114
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