This study examines the educational effect of the Academic Support Center at Kogakuin University. Following the initial assessment, it was suggested that group bias had led to an underestimation of the Center's true impact. To address this issue, the authors applied the theory of causal inference. By using T-learner, the conditional average treatment effect (CATE) of the Center's face-to-face (F2F) personal assistance program was evaluated. Extending T-learner, the authors produced a new CATE function that depends on the number of treatments (F2F sessions) and used the estimated function to predict the CATE performance of F2F assistance.

翻译：本研究考察了工学院大学学术支持中心的教育干预效果。初步评估表明，群体偏倚可能导致了对该中心真实影响的低估。为解决此问题，作者应用因果推断理论，采用T-learner方法评估了该中心面对面（F2F）个性化辅导项目的条件平均处理效应（CATE）。通过扩展T-learner框架，作者构建了依赖于干预次数（F2F辅导次数）的新型CATE函数，并利用该估计函数预测了F2F辅导的CATE表现。