Students' learning style detection using tree augmented naive Bayes.
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ABSTRACT:
SUBMITTER: Li LX
PROVIDER: S-EPMC6083720 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Publications
Students' learning style detection using tree augmented naive Bayes.
Li Ling Xiao LX Abdul Rahman Siti Soraya SS
Royal Society open science 20180725 7
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' learning styles. Among all, the Bayesian network has emerged as a widely used method to automatically detect students' learning styles. On the other hand, tree augmented naive Bayesian network has the ability to improve the naive Bayesian ne ...[more]
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