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.
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