Students' learning style detection using tree augmented naive Bayes
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DOI: 10.1098/rsos.172108
Abstract: Students are characterized according to their own distinct learning styles. Discovering students' learning style is significant in the educational system in order to provide adaptivity. Past researches have proposed various approaches to detect the students’… read more here.
Keywords: augmented naive; network; tree augmented; learning style ... See more keywords