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Predicting Four-Year Student Success from Two-Year Student Data

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Big Data and Learning Analytics in Higher Education

Abstract

This chapter describes a study that evaluated the academic pathway of transfer students from two community colleges to a 4-year university. The project focused on a series of academic milestones that students must achieve prior to earning a 4-year credential. Those milestones include the first-term GPA, re-enrollment, and program completion. The purpose of this project was to develop an integrated database that contains key data on student demographics, course-taking behaviors, and performance from both the community college and the 4-year institution and to analyze the data using data mining and traditional statistical techniques to predict student success.

A series of logistic regression equations identified significant predictors of first-term GPA, re-enrollment, and graduation. For example, overall rate of successful course completion, rate of successful math completion, rate of successful English completion, completion of developmental math were found to be significant predictors of a successful first-term GPA.

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References

  • Alfonso, M. (2006). The impact of community college attendance on baccalaureate attainment. Research in Higher Education, 47(8), 873–903.

    Article  Google Scholar 

  • Archer, L., Hutchings, M., & Ross, A. (2005). Higher education and social class: Issues of exclusion and inclusion. London: Routledge.

    Google Scholar 

  • Bailey, T. (2002). Community colleges in the 21st century: Challenges and opportunities. In P. A. Graham & N. G. Stacey (Eds.), The knowledge economy and postsecondary education: Report of a workshop (pp. 59-75). Washington, D.C.: National Academy Press.

    Google Scholar 

  • Bailey, T. (2009). Challenge and opportunity: Rethinking the role and function of developmental education in community college. New Directions for Community Colleges, 2009(145), 11–30.

    Article  Google Scholar 

  • Bamber, J., & Tett, L. (2000). Transforming the learning experiences of non-traditional students: A perspective from higher education. Studies in Continuing Education, 22(1), 57–75.

    Article  Google Scholar 

  • Bean, J. P., & Metzner, B. S. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485–540.

    Article  Google Scholar 

  • Bers, T. H., & Smith, K. E. (1991). Persistence of community college students: The influence of student intent and academic and social integration. Research in Higher Education, 32(5), 539–556.

    Article  Google Scholar 

  • Bettinger, E. P., & Long, B. T. (2005). Remediation at the community college: Student participation and outcomes. New Directions for Community Colleges, 129, 17–26.

    Article  Google Scholar 

  • Bettinger, E. P., & Long, B. T. (2009). Addressing the needs of underprepared students in higher education does college remediation work? Journal of Human Resources, 44(3), 736–771.

    Article  Google Scholar 

  • Cabrera, A. F., Nora, A., & Castaneda, M. B. (1993). College persistence: Structural equations modeling test of an integrated model of student retention. Journal of Higher Education, 64(2), 123–139.

    Google Scholar 

  • Calcagno, J. C., Crosta, P., Bailey, T., & Jenkins, D. (2007). Stepping stones to a degree: The impact of enrolment pathways and milestones on community college student outcomes. Research in Higher Education, 48(7), 775–801.

    Article  Google Scholar 

  • Cantwell, R., Archer, J., & Bourke, S. (2001). A comparison of the academic experiences and achievement of university students entering by traditional and non-traditional means. Assessment &Evaluation in Higher Education, 26(3), 221–234.

    Article  Google Scholar 

  • Chemers, M. M., Hu, L. T., & Garcia, B. F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Educational Psychology, 93(1), 55–64.

    Article  Google Scholar 

  • Choy, S. (2002). Access and persistence: Findings from 10 years of longitudinal research on students. Washington, DC: American Council on Education.

    Google Scholar 

  • Christie, R. L., & Hutcheson, P. (2003). Net effects of institutional type on baccalaureate degree attainment of" traditional" students. Community College Review, 31(2), 1–20.

    Article  Google Scholar 

  • Cross, K. P. (1981). Adults as learners. Increasing participation and facilitating learning. San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • DeBerard, M. S., Spielmans, G., & Julka, D. (2004). Predictors of academic achievement and retention among college freshmen: A longitudinal study. College Student Journal, 38(1), 66–80.

    Google Scholar 

  • Goldrick-Rab, S. (2006). Following their every move: An investigation of social-class differences in college pathways. Sociology of Education, 79(1), 67–79.

    Article  Google Scholar 

  • Grimes, S. K. (1997). Underprepared community college students: Characteristics, persistence, and academic success. Community College Journal of Research and Practice, 21(1), 47–56.

    Article  Google Scholar 

  • Hagedorn, L. S. (2005). How to define retention: A new look at an old problem. In A. Seidman (Ed.), College student retention (pp. 89–105). Westport: Praeger Publishers.

    Google Scholar 

  • Keane, M. P. (2002). Financial aid, borrowing constraints, and college attendance: Evidence from structural estimates. American Economic Review, 92(2), 293–297.

    Article  Google Scholar 

  • Kuh, G. D., Cruce, T. M., Shoup, R., Kinzie, J., & Gonyea, R. M. (2008). Unmasking the effects of student engagement on first-year college grades and persistence. Journal of Higher Education, 79(5), 540–563.

    Article  Google Scholar 

  • Lau, L. K. (2003). Institutional factors affecting student retention. Education, 124(1), 126–136.

    Google Scholar 

  • Lehmann, W. (2007). “I just didn’t feel like I fit in”: The role of habitus in university dropout decisions1. Canadian Journal of Higher Education, 37(2), 89–110.

    Google Scholar 

  • Long, B. T., & Kurlaender, M. (2009). Do community colleges provide a viable pathway to a baccalaureate degree? Educational Evaluation and Policy Analysis, 31(1), 30–53.

    Article  Google Scholar 

  • Martin, K., Galentino, R., & Townsend, L. (2014). Community college student success: The role of motivation and self-empowerment. Community College Review, 42(3), 221.

    Article  Google Scholar 

  • Matus-Grossman, L., & Gooden, S. (2002). Opening doors: Students’ perspectives on juggling work, family, and college. New York: MDRC.

    Google Scholar 

  • Metzner, B. S., & Bean, J. P. (1987). The estimation of a conceptual model of nontraditional undergraduate student attrition. Research in Higher Education, 27(1), 15–38.

    Article  Google Scholar 

  • Miller, M., & Lu, M. Y. (2003). Serving non-traditional students in e-learning environments: Building successful communities in the virtual campus. Educational Media International, 40(1-2), 163–169.

    Article  Google Scholar 

  • Moreau, M. P., & Leathwood, C. (2006). Balancing paid work and studies: Working (class) students in higher education. Studies in Higher Education, 31(1), 23–42.

    Article  Google Scholar 

  • Park, J.-H., & Choi, H.-J. (2009). Factors influencing adult learners’ decision to drop out or persist in online learning. Educational Technology & Society, 12(4), 207–217.

    Google Scholar 

  • Paulsen, M. B., & St John, E. P. (2002). Social class and college costs: Examining the financial nexus between college choice and persistence. Journal of Higher Education, 73(2), 189–236.

    Article  Google Scholar 

  • Ronco, S. L., & Cahill, J. (2004). Does it matter who’s in the classroom? Effect of instructor type on student retention, achievement and satisfaction. Paper presented at the 44th Annual Forum of the Association for Institutional Research, Boston.

    Google Scholar 

  • Rouse, C. E. (2004). Low‐income students and college attendance: An exploration of income expectations. Social Science Quarterly, 85(5), 1299–1317.

    Article  Google Scholar 

  • Schuetz, P. (2005). UCLA community college review: Campus environment: A missing link in studies of community college attrition. Community College Review, 32(4), 60–80.

    Article  Google Scholar 

  • Seidman, A. (Ed.). (2005). College student retention: Formula for student success. Westport, CT: ACE/Praeger.

    Google Scholar 

  • Shapiro, D., Dundar, A., Wakhungu, P.K., Yuan, X., Nathan, A. & Hwang, Y. (2015). Completing college: a national view of student attainment rates – Fall 2009 cohort (Signature report no. 10). Herndon, VA: National Student Clearinghouse Research Center.

    Google Scholar 

  • Spitzer, T. M. (2000). Predictors of college success: A comparison of traditional and nontraditional age students. Journal of Student Affairs Research and Practice, 38(1), 99–115.

    Article  Google Scholar 

  • Tinto, V. (2006). Research and practice of student retention: What next? Journal of College Student Retention: Research, Theory & Practice, 8(1), 1–19.

    Article  Google Scholar 

  • Walpole, M. (2003). Socioeconomic status and college: How SES affects college experiences and outcomes. The Review of Higher Education, 27(1), 45–73.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Maryland University College, Upper Marlboro, MD, USA

    Denise Nadasen M.A.

  2. Ball State University, Muncie, IN, USA

    Alexandra List Ph.D.

Authors
  1. Denise Nadasen M.A.
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  2. Alexandra List Ph.D.
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Correspondence to Denise Nadasen M.A. .

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Editors and Affiliations

  1. University of Otago, Dunedin, New Zealand

    Ben Kei Daniel

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Nadasen, D., List, A. (2017). Predicting Four-Year Student Success from Two-Year Student Data. In: Kei Daniel, B. (eds) Big Data and Learning Analytics in Higher Education. Springer, Cham. https://doi.org/10.1007/978-3-319-06520-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-06520-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06519-9

  • Online ISBN: 978-3-319-06520-5

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