The Effects of a Mathematics Remedial Program on Mathematics Success and Achievement among Beginning Mathematics Major Students : A regression discontinuity analysis
Journal of Research in Science, Mathematics and Technology Education, Volume 6, Issue 1, January 2023, pp. 21-39
OPEN ACCESS VIEWS: 482 DOWNLOADS: 274 Publication date: 15 Jan 2023
OPEN ACCESS VIEWS: 482 DOWNLOADS: 274 Publication date: 15 Jan 2023
The proficiency in Mathematics skills is fundamental to success in the STEM disciplines. In the US, beginning college students who are placed in remedial/developmental Mathematics courses frequently struggle to achieve academic success (Fay,2020). Therefore, Mathematics remediation in college has become an important concern, and providing Mathematics remediation is a prevalent way to help the students who may not be fully prepared for college-level courses. Programs vary however, and the effectiveness of a particular remedial Mathematics program must be empirically demonstrated. The purpose of this study was to apply the sharp regression discontinuity (RD) technique to determine the effectiveness of the Jack Leaps Summer (JLS) Mathematic remediation program in supporting improved Mathematics learning outcomes among newly admitted Mathematics students in the South Dakota State University. The researchers studied the newly admitted Fall 2019 cohort of Mathematics majors (n=423). The results indicated that students whose pretest score was lower than the cut-off point and who were assigned to the JLS program, experienced significantly higher scores on the post-test (Math 101 final score). Based on these results, there is evidence that the JLS program is effective in meeting its primary objective.
Mathematics remedial program evaluation, Quasi-experimental research design, Regression discontinuity design, Cohort studies, Causal inference
Du, K., & Lipscomb, T. J. (2023). The Effects of a Mathematics Remedial Program on Mathematics Success and Achievement among Beginning Mathematics Major Students : A regression discontinuity analysis. Journal of Research in Science, Mathematics and Technology Education, 6(1), 21-39. https://doi.org/10.31756/jrsmte.613
- Attewell, P., Heil, S., & Reisel, L. (2012). What Is Academic Momentum? And Does It Matter? Educational Evaluation and Policy Analysis, 27-44.
- Baranyi, M., & Molontay, R. (2021). Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques. Interactive Learning Environments, 247-269.
- Belfield, C.R., Jenkins, D., & Lahr, H. (2016). Momentum: The Academic and Economic Value of a 15-Credit First Semester Course Load for College Students in Tennessee.
- Bettinger, E. P. and Terry Long, B. (2009). ‘Addressing the needs of underprepared students in higher education: Does college remediation Work?’, Journal of Human Resources, 44, 736–771.
- Boatman, A., & Bennett, C. T. (2021). A Switch in Time: The Academic Effects of Shifting Mathematics Remediation from College to High School. Education Finance and Policy, 464-492.
- Burdman, P. (2018). OPINION: Fewer students have to take college remedial mathematics, data show. Washington, DC: The Hechinger Report.
- Calcagno, J. C., & Long, B. T. (2008). The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance . The National Center for Postsecondary Education, 1-46.
- Camera, L. (2019). U.S. Students Show No Improvement in Mathematics, Reading, Science on International Exam. New York: US News& World Report.
- Chen, Xianglei. (2016). Remedial course taking at U.S. public 2- and 4-year institutions: Scope, experiences, and outcomes. Statistical analysis report. Available https://nces.ed.gov/pubs2016/2016405.pdf. Accessed 28 January 2021.
- Cunningham, S. (2021). Causal Inference: The Mix tape. Newhaven&London: Yale University Press.
- Dorn, E., Hancock, B., Sarakatsannis, J., & Viruleg, E. (2021). COVID-19 and education: The lingering effects of unfinished learning. Washington, DC: McKinsey& Company.
- Eric B. & Long B.T. (2004). Shape Up or Ship Out: The Effects of Remediation on Students at Four-Year Colleges. No 10369. NBER Working Papers. National Bureau of Economic Research, Inc.
- Fay, Margaret. P.(2020).Learning to Fail? Student Experiences in Remedial Mathematics in Community Colleges [Doctoral dissertation, City University of New York (CUNY)].CUNY Graduate Center.
- Flaherty, C. (2021, April 7th). What Impacts Active Learning in STEM? Retrieved from Inside High Education: https://www.insidehighered.com/quicktakes/2021/04/07/what-impacts-active-learning-stem
- Herman, A. (2019, Nov 1). America’s STEM Crisis Threatens Our National Security. American Affairs, pp. 1-30.
- Hodara, M. (2013). Improving Students’ College Mathematics Readiness:A Review of the Evidence on Postsecondary Interventions and Reforms. New York: Center for Analysis of Postsecondary Education and Employment.
- Imbens,G.,& Kalyanaraman,K.(2012). Optimal Bandwidth Choice for the Regression Discontinuity Estimator. The Review of Economic Studies, 79(3), 933–959. http://www.jstor.org/stable/23261375
- Jacob, B. A., & Lefgren, L. (2004). Remedial Education and Student Achievement: A Regression-Discontinuity Analysis. Review of Economics and Statistics, 226-244.
- Jenkins, Davis, and Katherine Boswell. (2002). State policies on community college remedial education: Findings from a national survey. Denver, CO: Education Commission of the States.
- Jimenez, L., Sargrad, S., Morales, J., & Thompson, M. (2016). Remedial Education. Boston: The Center for American Progress.
- John, G. M., Scott, P. H., & Good, D. W. (2017). The answer is yes: Dual enrollment benefits students at the community college. Community College Review , 79-98.
- Joseph, Joyce A.(1992). Improving Self-Esteem of At-Risk Students. [Doctoral dissertation, unknown]. ERIC database.
- Lagerlöf, J. N. M., and Seltzer, A. J. (2009). ‘The effects of remedial Mathematics on the learning of economics: evidence from a natural experiment’, Journal of Economic Education, 40, 115-136.
- Lesik, S. A. (2006). ‘Applying the regression discontinuity design to infer causality with non-random assignment’, Review of Higher Education, 30, 1-19.
- Martinez, Maria Emilia, and Steve Frank Bain. 2014. The costs of remedial and developmentaleducation in postsecondary education. Research in Higher Education Journal, 22,1–12.
- Melguizo, T., Bos, J., Ngo, F., Mills, N., & Prather, G. (2015). Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in Developmental Math. Los Angeles: University of Southern California.
- Moss, B. G., Yeaton, W. H., & LIoyd, J. E. (2014). Evaluating the Effectiveness of Developmental Mathematics by Embedding a Randomized Experiment Within a Regression Discontinuity Design. Educational Evaluation and Policy Analysis, 170-185.
- Nussbaum, D. A., & Dweck, C. S. (2008). Defensiveness Versus Remediation: Self-Theories and Modes of Self-Esteem Maintenance. Society for Personality and Social Psychology, 599-612.
- Pietro, G. D. (2012). The Short-Term Effectiveness of a Remedial Mathematics Course:Evidence from a UK University. Westminster Business School and IZA (pp. 1-34). Bonn,Germany: IZA.
- Sanabria, T., Penner, A., & Domina, T. (2021). Failing at Remediation? College Remedial Coursetaking, Failure and Long-term Student Outcomes. Research High Education, 459-484.
- Schak, O., Metzger, I., & Bass, J. (2017). Developmental Education Challenges and Strategies for Reform. Washington, DC: U.S. Department of Education.
- Smith, S. (2012, Sep 14). Clicking Free of the Mathematics Trap. Retrieved from American Public Media: http://americanradioworks.publicradio.org/features/tomorrows-college/keyboard-college/remedial-mathematics.html
- Snyder, T.D., de Brey, C., and Dillow, S.A. (2019). Digest of Education Statistics 2017 (NCES 2018-070).National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.
- Tierney, William G., and Lisa D. Garcia. 2011. Remediation in higher education: The role of information. American Behavioral Scientist , 55(2): 102–120.
- Toll, S. W., Van Luit, J. E. (2013). Accelerating the early numeracy development of kindergartners with limited working memory skills through remedial education. Research in Developmental Disabilities, 34, 745-755.
- Torraco, R. J. (2014). Remedial education: An area in need of scholar-practitioner collaboration. Community College Journal of Research and Practice, 38, 1198-1202.
- Trochim, W. M. (2001). The Research Methods Knowledge Base - 2nd Edition. Boston: Atomic Dog Publishing.
- Trujillo, D., & Hollenbeck, S. (2021, Sep 14). FSA testing will end in Florida after this school year, DeSantis says. Retrieved from ABC Action News: https://www.abcactionnews.com/news/state/fsa-testing-will-end-in-florida-after-this-school-year-desantis-says
- Valentine, J. C., Konstantopoulos, S., & Rab, S. G. (2017). What Happens to Students Placed Into Developmental Education? A Meta-Analysis of Regression Discontinuity Studies. Review of Educational Research, 806-833.
- Yolak, B. B., Kiziltepe, Z., & Seggie, F. N. (2019). The Contribution of Remedial Courses on the Academic and Social Lives of Secondary School Students. Journal of Education, 24-34.
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