Investigate Academic Performance Disparities by Race through Data Mining
KSUnite DEIB Conference Day 3 - November 16, 2022 - Concurrent Conference Sessions Period 3 (8:30am-9:30am)
Cottonwood Room
This study compares the academic performance of underrepresented minority (URM) students and non-URM students in K-state using two approaches. In the first approach, their performance was compared directly at a population level. In the second approach, URM students were paired with non-URM students who have the same or very similar background at first, and then their academic performance was compared based on paired cases. Academic performance is measured by their first-year GPA and first-year retention rate in this study. Conclusions from the two approaches were different: the first approach at a population level indicates a huge gap between their academic performance, while the second approach shows there is no gap, or the gap is much smaller.
DEIB Challenge Level: Intermediate
Presenter
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Yuhao Liu |
Yuhao Liu is a Lead Data Analyst at the Office of Institutional Research and Assessment. He started his career with K-state since July 2020, and before that he worked as a Program Research Specialist with the New York State Department of Health for over 4 years. |
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Dr. Bin Ning |
Dr. Bin Ning is an Associate Provost for Institutional Research. He joined K-State in October 2019, and he has been working with higher education institutes as a leader and researcher for over 30 years. |
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