A method of identifying students who require guidance using Bayesian network
Hirotaka Itoh, Masaya Nishiwaki, Kenji Funahashi · 2015
The presence of students repeating years and withdrawing from university is a concern at most universities. Our research is intended to use student data accumulated through past to support academic guidance, in order to resolve this issue. It is hoped that numbers of students repeating years and withdrawing students will decrease in the future through defining students at high risk of repeating years and withdrawing as students requiring guidance, identifying such students early, and concentrating guidance efforts on them. In this paper, we use a Bayesian network to construct a model for identifying students who require guidance.