Yutaka Yamada

Academic Performance Forecasting via Data Imputation and Bayesian Neural Networks

This study aims to accurately predict students’ academic performance trajectories for university entrance examinations by proposing a machine learning framework that explicitly accounts for missing data and uncertainty. Mock examination data are characterized by substantial missing values due to heterogeneous participa...