Forecasting Students' Grades Using a Bayesian Network Model and an Evaluation of Its Usefulensss

Abstract

The objective of this study is to utilize students' data to forecast their future grades, and to identify the students who would benefit from educational counseling. To achieve these purposes, we propose a Bayesian network model as a forecasting method. A Bayesian network is a graphical model that presents the dependence relationship among some variables in a graph structure. By calculating the probability value using the model, it is possible to make forecasts. Moreover, in this study, to facilitate the construction of a Bayesian network model, data mining is introduced.