Recommendation on Styles of Studying for Junior High School Students Using Bayesian Networks
Hironori Maruyama, Toshiyuki Ohtsuka · Transactions of the Institute of Systems Control and Information Engineers · 2016
A method is proposed in this paper to give recommendations on styles of studying for junior high school students based on their individual properties. A Bayesian network for each academic subject is constructed from a questionnaire about grades and individual styles of studying. Then, for given individual properties, the styles of studying with a high probability of grade improvement are derived from the Bayesian network. The features of Bayesian networks constructed by the proposed method are examined.