This paper examines the impact of a National Science Foundation Scholarships in Science, Technology, Engineering, and Mathematics (NSF S-STEM) Program at a large, Minority-Serving institution in the western U.S. Despite growing efforts to diversify STEM fields, underrepresented minority (URM) students continue to face significant challenges in persistence and success. This scholarship program addresses these challenges by providing financial support, faculty and peer mentorship, and skills development opportunities to academically talented and low-income URM STEM students. This study evaluates how participation in the program enhances key noncognitive skills, such as students' sense of belonging, leadership and collaboration skills, and science identity, which are critical to STEM persistence. Using both survey and university-based data among the 47 participating scholars, results reveal that program participants report strong levels of sense of belonging, high efficacy in leadership and collaboration skills, and strong science/math identities. Additionally, compared to university rates, scholarship students showed above-average retention and graduation rates, with the majority pursuing graduate studies or careers in STEM. These findings highlight the importance of comprehensive support programs that integrate financial aid, mentorship, and professional development to promote persistence and success among URM students in STEM fields.
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Improving models for student retention and graduation using Markov chains
Graduation rates are a key measure of the long-term efficacy of academic interventions. However, challenges to using traditional estimates of graduation rates for underrepresented students include inherently small sample sizes and high data requirements. Here, we show that a Markov model increases confidence and reduces biases in estimated graduation rates for underrepresented minority and first-generation students. We use a Learning Assistant program to demonstrate the Markov model’s strength for assessing program efficacy. We find that Learning Assistants in gateway science courses are associated with a 9% increase in the six-year graduation rate. These gains are larger for underrepresented minority (21%) and first-generation students (18%). Our results indicate that Learning Assistants can improve overall graduation rates and address inequalities in graduation rates for underrepresented students.
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- Award ID(s):
- 1757477
- PAR ID:
- 10469785
- Editor(s):
- Bitzenbauer, Philipp
- Publisher / Repository:
- PLOS ONE
- Date Published:
- Journal Name:
- PLOS ONE
- Volume:
- 18
- Issue:
- 6
- ISSN:
- 1932-6203
- Page Range / eLocation ID:
- e0287775
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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