Increasing Humanities and STEM Pipelines: Associations Between Student Characteristics and Academic Outcomes
Keywords:
higher education, humanities, STEM, transfer, graduation, wagesAbstract
Humanities and STEM disciplines may face shortages of college graduates, particularly from underrepresented demographic groups. Using multilevel generalized linear models, we evaluated associations between student characteristics and 6-10-year academic outcomes in humanities and STEM pipelines from associate’s major declaration through post-enrollment wages among 92,169 first-time community college students. Nonarts humanities majors were more likely to graduate and begin graduate study. STEM majors earned higher wages after terminating their studies. To increase the output and diversity of the humanities and STEM pipelines, students’ early selection of humanities-related majors should be increased, and STEM students’ persistence and degree completion should be prioritized.
References
American Academy of Arts and Sciences. (2013). The heart of the matter: The humanities and social sciences for a vibrant, competitive, and secure nation. Retrieved from https://bit.ly/3YVv6uv
American Academy of Arts and Sciences. (2020). The humanities in American Life: Insights from a 2019 survey of the public’s attitudes and engagement. Retrieved from bit.ly/HumSurvey
American Academy of Arts and Sciences. (n.d.). Humanities indicators. Retrieved from https://bit.ly/3XI5VKN
Archer, L., Dawson, E., DeWitt, J., Seakins, A., & Wong, B. (2015). “Science capital”: A conceptual, methodological, and empirical argument for extending bourdieusian notions of capital beyond the arts. Journal of Research in Science Teaching, 52(7), 922–948. https://doi.org/10.1002/tea.21227
Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2012). Science aspirations, capital, and family habitus: How families shape children’s engagement and identification with science. American Educational Research Journal, 49(5), 881–908. https://doi.org/10.3102/0002831211433290
Bailey, T.R., Jaggars, S., & Jenkins, P.D. (2015). What we know about guided pathways. Columbia University, Teachers College, Community College Research Center. Retrieved from https://bit.ly/3YXOaII
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. http://doi:10.18637/jss.v067.i01
Bicak, I., Schudde, L., & Flores, K. (2022). Predictors and consequences of math course repetition: The role of horizontal and vertical repetition in success among community college transfer students. Research in Higher Education, 64, 260–299. Retrieved from https://bit.ly/3IuKDfm
Bickerstaff, S., Brock, T., Moussa, A., & Ran, F.X. (2020, May). Exploring the state of the humanities in community colleges. (CCRC Working Paper No. 119). Columbia University, Teachers College, Community College Research Center. Retrieved from https://bit.ly/3k4ly1F
Bickerstaff, S., Cho, S., Sparks, D., & Fink, J. (2023, March). Smoothing pathways to transfer in the humanities. Community College Research Center. Retrieved from https://bit.ly/3KY0xAh
Bitar, J., Montague, G., & Ilano, L. (2022, December 1). Faculty diversity and student success go hand in hand, so why are university faculties so White? The Education Trust. Retrieved from https://bit.ly/405R2U4
Bourdieu, P. (1986). The forms of capital. In J. Richardson (Ed.), Handbook of Theory and Research for the Sociology of Education (pp. 241–258). Greenwood.
Bourdieu, P. (1996). The State Nobility. Polity Press
Bourdieu, P. (2005). The social structures of the economy. Polity.
Bourdieu, P., & Passeron, J.C. (1977). Reproduction in education, society and culture. Sage.
Carnevale, A.P., Cheah, B., & Hanson, A.R. (2015). The economic value of college majors. Georgetown University, Center on Education and the Workforce. Retrieved from https://bit.ly/3YDdK67
Carnevale, A.P., & Cheah, B. (2018). Five rules of the college and career game. Georgetown University, Center on Education and the Workforce. Retrieved from https://bit.ly/3XKHSed
Chen, X. (2013). STEM Attrition: College Students’ Paths into and out of STEM Fields. Statistical Analysis Report. NCES 2014-001. National Center for Education Statistics. Retrieved from https://bit.ly/3WSNuGP
Chen, X., & Henke, R. (2017, January 12). Not completing remedial courses threatens students’ prospects for success in college and beyond. The EvoLLLution. Retrieved from http://bit.ly/413ryIA
Chrysanthou, J. (2016, July 1). Establishing a transfer culture: Facilitating movement from two- to four-year higher ed. The EvoLLLution. Retrieved from http://bit.ly/3xzLNQF
Dallinger, J.M., & Mann, K.B. (2000). Assessing student knowledge of and attitudes toward the humanities. College Teaching, 48(3), 95–101. https://doi.org/10.1080/87567550009595821
D’Amico, M.M., Chapman, L.M., & Robertson, S. (2021). Associate in Applied Science transfer and articulation: An issue of access and equity. Community College Journal of Research and Practice, 45(5), 378–383. https://doi.org/10.1080/10668926.2020.1741477
Deming, D. (2015). The growing importance of social skills in the labor market. (NBER Working Paper No. 21473). National Bureau of Economic Research. Retrieved from https://doi.org/gjj67z
DiLeonardo, C., James, B.R., Ferandez, D., & Carter, D. (2022). Supporting transfer students in the geosciences from two-year colleges to university programs. New Directions for Community Colleges, 199, 107–118. https://doi.org/10.1002/cc.20527
Draganov, T., Kim, J., & Won Yoon, S., (2023). Increasing retention of underrepresented students in STEM fields at California community colleges: A study of the STEM2 program. Journal of College Student Retention: Research, Theory & Practice. https://doi.org/mxjg
Elliott, D.C., & Lakin, J.M. (2020). Running the STEM gauntlet: The complicity of four-year universities in the transfer penalty. Research in Higher Education, 61, 540–565. https://doi.org/10.1007/s11162-019-09586-4
Gentsch, K., Oka, Y., Truelsch, S., & Logue, A. (2024). The vertical transfer pipeline and its leaks: Tracking students from associate’s programs to bachelor’s degrees. Journal of Postsecondary Student Success, 3(2), 18–55. https://doi.org/10.33009/fsop_jpss134267
Ginder, S.A., Kelly-Reid, J.E., & Mann, F.B. (2019). Enrollment and employees in postsecondary institutions, Fall 2017; and financial statistics and academic libraries, fiscal year 2017: First look (provisional data). National Center for Education Statistics. Retrieved from http://bit.ly/3Scqz4H
Gonzalez, H.B., & Kuenzi, J.J. (2012, August). Science, technology, engineering, and mathematics (STEM) education: A primer. Washington, DC: Congressional Research Service, Library of Congress. Retrieved from https://sgp.fas.org/crs/misc/R42642.pdf
Gray, M.J., Gunarathne, S.A., Nguyen, N.N., & Shortlidge, E.E. (2022). Thriving or simply surviving? A qualitative exploration of STEM community college students’ transition to a four-year university. CBE life sciences education, 21(3), ar57. Retrieved https://doi.org/k3gn
Hetland, L., & Winner, E. (2001). The arts and academic achievement: What the evidence shows. Arts Education Policy Review, 102(5), 3–6. https://doi.org/bfm85q
Katartzi, E., & Hayward, G. (2020). Conceptualising transitions from vocational to higher education: Bringing together Bourdieu and Bernstein. British Journal of Sociology of Education, 41(3), 299–314. https://doi.org/10.1080/01425692.2019.1707065
Krebs, P.M., Ardis, A., & Perelmuter, R. (2009). Summer schools: Coordinating programs to address underrepresentation among humanities doctorates. Profession, pp. 365–372. Retrieved from https://bit.ly/4d8izMr
Lichtenstein, G., McCormick, A.C., Sheppard, S.D., & Puma, J. (2010). Comparing the undergraduate experience of engineers to all other majors: Significant differences are programmatic. Journal of Engineering Education, 99(4), 305–317. https://doi.org/f3wdgp
Logue, A.W., Douglas, D., & Watanabe-Rose, M. (2019). Corequisite mathematics remediation: Results over time and in different contexts. Educational Evaluation and Policy Analysis, 41(3), 294–315. https://doi.org/10.3102/0162373719848777
Logue, A.W., Oka, Y., Wutchiett, D., Gentsch, K., & Abbeyquaye, S. (2022). Possible causes of leaks in the transfer pipeline: Student views at the 19 colleges of The City University of New York. Journal of College Student Retention: Research, Theory & Practice, 26(3), 721–750. https://doi.org/10.1177/15210251221117276
The Mellon Foundation. (2018, July). Igniting confidence and building the humanities pipeline. Retrieved from http://bit.ly/3ka9Rqg
The Mellon Foundation. (2019, July). In New Hampshire, community colleges foster a new generation of humanities scholars. Retrieved from https://bit.ly/3xCPAfP
Meza, E.A. (2019, December). Underserved community college students and the complexity of STEM transfer. (Data Note 1). University of Washington, Community College Research Initiatives. Retrieved from https://bit.ly/3xtKxP1
Milem, J.F. (2003). The educational benefits of diversity: Evidence from multiple sectors. Compelling interest: Examining the evidence on racial dynamics in higher education, pp. 126–169. Retrieved from https://stanford.io/3UPPY69
Moussa, A., & Bickerstaff, S. (2019, October). Creating accelerated pathways for student success in mathematics: A snapshot of courses offered at the launch of the mathematics pathways to completion project. Columbia University, Teachers College, Community College Research Center. Retrieved from http://bit.ly/3Z40B5T
National Center for Education Statistics. (2010). Introduction to the classification of instructional programs: 2010 edition. (CIP-2010). Retrieved from https://bit.ly/3SayMXl
National Center for Education Statistics. (2022a). Characteristics of postsecondary students. Condition of Education. U.S. Department of Education, Institute of Education Sciences. Retrieved from https://bit.ly/4dTKwrC
National Center for Education Statistics. (2022b). Integrated Postsecondary Education Data System (IPEDS), Completions component, Fall 2000 through Fall 2021. U.S. Department of Education. Retrieved from https://bit.ly/3wNxKKm
National Center for Education Statistics. (2023). Integrated Postsecondary Education Data System (IPEDS), Completions component, Fall 2012 through Fall 2021 (final data) and Fall 2022 (provisional data). U.S. Department of Education. Retrieved from https://bit.ly/3UWvYyM
National Endowment for the Humanities. (n.d.). What are the Humanities? Retrieved from https://bit.ly/3yyx7VJ
Nussbaum, M.C. (1998). Cultivating humanity: A classical defense of reform in liberal education. Harvard University Press.
Pantic, Z. (2007). STEM Sell. New England Journal of Higher Education, 22(1), 25–26. Retrieved from https://bit.ly/4dQBr2K
Park, E.S., & Ngo, F. (2021). The effect of developmental math on STEM participation in community college: Variation by race, gender, achievement, and aspiration. Educational Evaluation and Policy Analysis, 43(1), 108–133. https://doi.org/10.3102/0162373720973727
Pippins, T., & Belfield, C.R., & Bailey, T. (2019, June). Humanities and liberal arts education across America’s colleges: How much is there? Columbia University, Teachers College, Community College Research Center. Retrieved from http://bit.ly/3XzBVAU
Reitter, P., & Wellmon, C. (2023). Permanent crisis: The humanities in a disenchanted age. University of Chicago Press.
Riegle-Crumb, C., King, B., & Irizarry, Y. (2019). Does STEM stand out? Examining racial/ethnic gaps in persistence across postsecondary fields. Educational Researcher, 48(3), 133–144. https://doi.org/10.3102/0013189X19831006
Santiago, N.A., Gee, C., Howard, S.L., Macho, J.M., & Buil, M.P. (2022). Utilizing equitable and inclusive design principles to promote STEM identity of community college transfer students. In S. Seagroves, A. Barnes, A.J. Metevier, J. Porter, & L. Hunter (Eds.), Leaders in effective and inclusive STEM: Twenty years of the Institute for Scientist & Engineer Educators (pp. 91–114). UC Santa Cruz, Institute for Scientist & Engineer Educators. Retrieved from https://bit.ly/3yuwYT8
Schudde, L.T., Ryu, W., & Brown, R.S. (2020, Winter). Major movement: Examining meta-major switching at community colleges. The Review of Higher Education, 44(2), 189–235. http://doi.org/10.1353/rhe.2020.0044
Shadduck, P. (2017). Comprehensive cocurricular support promotes persistence of community college STEM students. Community College Journal of Research and Practice, 41(11), 719–732. https://doi.org/10.1080/10668926.2016.1222506
Shulman, J., Tobin, E., Chun, W.H.K., Hill, D., Rawson, K.J., Padron, R., . . . Watkinson, C. (2024) Humanities in the United States. World Humanities Report, CHCI. Retrieved from https://worldhumanitiesreport.org/wp-content/uploads/2024/10/WHR-USA.pdf
Sikora, J., & Pokropek, A. (2021). Immigrant optimism or immigrant pragmatism? Linguistic capital, orientation towards science and occupational expectations of adolescent immigrants. Large-Scale Assessments in Education, 9(1). https://doi.org/10.1186/s40536-021-00101-9
Smith, E. (2017). Shortage or surplus? A long‐term perspective on the supply of scientists and engineers in the USA and the UK. Review of Education, 5(2), 171–199. https://doi.org/mxjd
Sotherland, N., Stange, K., & Matsudaira, J. (2023, November 9). New measures of postsecondary education transfer performance: Transfer-out rates for community colleges, transfer student graduation rates at four-year colleges, and the institutional dyads contributing to transfer student success. Homeroom: The Official Blog of the U.S. Department of Education. Retrieved from https://bit.ly/4ad0SZU
Stinebrickner, R., & Stinebrickner, T.R. (2014). A major in science? Initial beliefs and final outcomes for college major and dropout. Review of Economic Studies, 81(1), 426–472. https://doi.org/10.1093/restud/rdt025
Teitelbaum, M.S. (2014). Falling behind? Boom, bust, and the global race for scientific talent. Princeton University Press.
U.S. Census Bureau. (2018). American Community Survey Public-Use Microdata Sample. American Academy of Arts and Sciences’ Humanities Indicators. Retrieved from https://bit.ly/4dW0jpV
U.S. Census Bureau. (2021). American Community Survey Public-Use Microdata Sample. American Academy of Arts Sciences’ Humanities Indicators. Retrieved from https://bit.ly/4dW0jpV
van Buuren, S., Groothuis-Oudshoorn, K. (2011). MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1–67. Retrieved from https://bit.ly/3JgNath
Velasco, T., Fink, J., Bedoya, M., Jenkins, D., & LaViolet, T. (2024). Tracking Transfer: Four-Year Institutional Effectiveness in Broadening Bachelor’s Degree Attainment. Community College Research Center, Teachers College, Columbia University. Retrieved from https://files.eric.ed.gov/fulltext/ED641314.pdf
Vickery, C. (2023, March 22). Data nirvana. Inside Higher Ed. Retrieved from https://bit.ly/3MHKF6k
Whitcomb, K.M., & Singh, C. (2021). Underrepresented minority students receive lower grades and have higher rates of attrition across STEM disciplines: A sign of inequity? International Journal of Science Education, 43(7), 1054–1089. https://doi.org/mxjc
Wutchiett, D., & Logue, A.W. (2024). Predictors of student reenrollment and graduation during the COVID-19 pandemic: Student characteristics and circumstances. In Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness (pp. 376–399). IGI Global. https://doi.org/10.4018/979-8-3693-5483-4.ch020
Zhang, Y.L., Adamuti-Trach, M., & Connolly, J. (2019). From community college attendants to baccalaureate recipients: A planned behavior model for transfer students in STEM files of study. Journal of Higher Education, 90(3), 373–401. https://doi.org/gsvmrs
