Assessing the Heterogeneous Effects of Remedial Education
利用美国公立大学数据和断点回归，发现数学补习对数学薄弱且主修数学密集型专业的学生毕业率提升22.5个百分点，但对数学基础较好的学生无效；自适应学习项目使通过率提高9.5个百分点，五年毕业概率增加4.5个百分点。
We analyze the effect of remedial math education on student outcomes by use of data from a large US public university and a regression discontinuity approach. Students with different math preparation levels are placed in remedial courses of varying difficulty. Our study finds that remediation increases graduation rates by 22.5 percentage points for students with lower math skills in math-intensive majors. However, students with stronger math backgrounds in advanced remedial classes do not see improved graduation outcomes. Additionally, implementation of an adaptive learning remedial program increased passing rates by 9.5 percentage points, leading to a 4.5 percentage point rise in 5-year graduation probability.