ライブラリ登録: Guest
Begell Digital Portal Begellデジタルライブラリー 電子書籍 ジャーナル 参考文献と会報 リサーチ集
Journal of Women and Minorities in Science and Engineering
SJR: 0.468 SNIP: 0.905 CiteScore™: 1.65

ISSN 印刷: 1072-8325
ISSN オンライン: 1940-431X

Journal of Women and Minorities in Science and Engineering

DOI: 10.1615/JWomenMinorScienEng.2019027480
pages 307-323

IMPROVING DIVERSITY IN STEM: THE ROLE OF PROJECT LEAD THE WAY IN INCREASING MINORITY ENROLLMENT IN STEM DISCIPLINES

Gary R. Pike
Higher Education & Student Affairs, IU School of Education, Wright Education Building, #4268 Bloomington, Indiana 47405, USA
Kirsten Robbins
Ball State University, Muncie, Indiana 47306, USA

要約

Increasing STEM degree attainment for underrepresented minorities is a national priority because a more racially/ethnically diverse workforce will enhance innovation in STEM fields and benefit minority-group members. Using statewide data on Indiana high school graduates, this study examined whether completing Project Lead The Way courses in high school increased the likelihood of majoring in STEM disciplines during the first year of college. Because students completed 0, 1, 2, or 3 or more PLTW courses, the average causal effects of taking PLTW courses were assessed using a multivalued treatment effects model. Results indicated that PLTW was effective in increasing minority STEM enrollment. However, taking more than one course did not have a significant additive effect on the likelihood of majoring in STEM.

参考

  1. Achieve, Inc. (2015). Next generation science standards. Retrieved September 14, 2015, from http://www. achieve.org/next-generation-science-standards. .

  2. Afifi, A., May, S., & Clark, V. A. (2012). Practical multivariate analysis (5th ed.). Boca Raton, FL: CRC Press. .

  3. Angrist, J. D., & Pischke, J. S. (2009). Mostly harmless econometrics: An empiricist's companion. Princeton, NJ: Princeton University Press. .

  4. Bottoms, G., & Uhn, J. (2007). Project lead the way works: A new type of career and technical program. Atlanta, GA: Southern Regional Education Board. .

  5. Brophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008). Advancing engineering education in P-12 classrooms. Journal of Engineering Education, 97(3), 369-387. .

  6. Business-Higher Education Forum. (2011). Creating the workforce of the future: The STEM interest and proficiency challenge. Washington, DC: Business-Higher Education Forum. .

  7. Business-Higher Education Forum. (2012). STEM interest among college students: Where they enroll. Washington, DC: Business-Higher Education Forum. .

  8. Business-Higher Education Forum, & American College Testing. (2014). Building the talent pipeline: Policy recommendations for "The Condition of STEM 2013." Washington, DC: Business-Higher Education Forum. .

  9. Carnevale, A. P., & Rose, S. J. (2011). The undereducatedAmerican. Washington, DC: Georgetown University, Center on Education and the Workforce. .

  10. Carnevale, A. P., Rose, S. J., & Cheah, B. (2011). The college payoff: Education, occupations, lifetime earnings. Washington, DC: Georgetown University, Center on Education and the Workforce. .

  11. Carnevale, A. P., Smith, N., & Strohl, J. (2010). Help wanted: Projections of jobs and education requirements through 2018. Washington, DC: Georgetown University Center on Education and the Workforce. .

  12. Common Core State Standards Initiative. (2015). Preparing America's students for success. Retrieved September 14, 2015, from http://www.corestandards.org/. .

  13. Crisp, G., Nora, A., & Taggart, A. (2009). Student characteristics, pre-college, college, and environmental factors as predictors of majoring in and earning a STEM degree: An analysis of students attending a Hispanic serving institution. American Educational Research Journal, 46(4), 924-942. .

  14. Fulton, M. (2017). Policy snapshot: Attainment goals and plans. Denver, CO: Education Commission of the States. Retrieved December 28, 2017, from https://www.ecs.org/wp-content/uploads/Attainment_Goals_and_Plans.pdf. .

  15. Heilbronner, N. N. (2011). Stepping onto the STEM pathway: Factors affecting talented students' declaration of STEM majors in college. Journal for the Education of the Gifted, 34(6), 876-899. .

  16. Heilbronner, N. N. (2012). The STEM pathway for women: What has changed? Gifted Child Quarterly, 57(1), 39-55. .

  17. Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008). Gender similarities characterize math performance. Science, 321(5888), 494-495. .

  18. Imbens, G. W. (2000). The role of the propensity score in estimating dose-response functions. Biometrika, 87(3), 706-710. .

  19. Imbens, G. W., & Wooldridge, J. M. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature, 47(1), 5-86. .

  20. Indiana Department of Education. (2018). Indiana graduation requirements. Retrieved July 9, 2018, from https://www.doe.in.gov/student-services/student-assistance/indianas-graduation-requirements. .

  21. Kang, J. D. Y., & Schafer, J. L. (2007). Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statistical Science, 22(4), 523-539. .

  22. Kinsler, J., & Pavan, R. (2015). The specificity of general human capital: Evidence from college major choice. Journal of Labor Economics, 33(4), 933-972. .

  23. Lumina Foundation for Education. (2009). Going for the goal: 2008 annual report. Indianapolis, IN: Lumina Foundation for Education. .

  24. Maltese, A. V. & Tai, R. H. (2010). Eyeballs in the fridge: Sources of early interest in science. International Journal of Science Education, 32(5), 669-685. .

  25. Melguizo, T., & Wolniak, G. C. (2012). The economic benefits of majoring in STEM fields among high achieving minority students. Research in Higher Education, 53(4), 383-405. .

  26. Murnane, R. J., & Willett, J. B. (2011). Methods matter: Improving causal inference in educational and social science research. New York: Oxford University Press. .

  27. National Academy of Sciences, National Academy of Engineering, & Institute of Medicine. (2007). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC: The National Academic Press. .

  28. National Academy of Sciences, National Academy of Engineering, & Institute of Medicine. (2010). Rising above the gathering storm, revisited: Rapidly approaching category 5. Washington, DC: The National Academies Press. .

  29. National Academy of Sciences, National Academy of Engineering, & Institute of Medicine. (2011). Expanding underrepresented minority participation: America's science and technology talent at the crossroads. Washington, DC: The National Academies Press. .

  30. National Center for Education Statistics. (n.d.). CIP 2010: What is CIP? Retrieved September 18, 2015, from https://nces.ed.gov/ipeds/cipcode/default.aspx?v=55. .

  31. National Science Foundation. (2011). GSS-CIP crosswalk. Washington, DC: National Science Foundation. Retrieved September 18, 2015, from http://www.nsf.gov/statistics/nsf13331/pdf/2011_GSS_CIP_Cross-walk.pdf. .

  32. National Science Foundation. (2013). Women, minorities, and persons with disabilities in science and engineering: 2013. Washington, DC: National Science Foundation. Retrieved September 18, 2015, from http://www.nsf.gov/statistics/wmpd/2013/pdf/nsf13304_digest.pdf. .

  33. National Student Clearinghouse. (2018). Student tracker. Herndon, VA. Retrieved November 4, 2018, from http://www. studentclearinghouse.org/colleges/studenttracker/. .

  34. Olitsky, N. H. (2014). How do academic achievement and gender affect the earnings of STEM majors? A propensity score matching approach. Research in Higher Education, 55(3), 245-271. .

  35. Pike, G. R., & Robbins, K. (2019). Expanding the pipeline: The effect of participating in project lead the way on majoring in a STEM discipline. Journal for STEM Education Research, 2(1), 14-34. .

  36. President's Council of Advisors on Science and Technology (PCAST). (2010). Prepare and inspire: K-12 education in science, technology, engineering, and math (STEM) for America's future. Washington, DC: Executive Office of the President. .

  37. President's Council of Advisors on Science and Technology. (2012). Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. Washington, DC: Executive Office of the President. .

  38. Project Lead The Way. (2019a). PLTW, state by state. Retrieved April 3, 2019, from https://www.pltw.org/ about-us/pltw-state-presence. .

  39. Project Lead The Way. (2019b). Our approach. Retrieved April 3, 2019, from https://www.pltw.org/our-programs. .

  40. Project Lead The Way. (2019c). PLTW engineering: Empower your students to step into the role of an engineer. Retrieved April 3, 2019, from https://www.pltw.org/our-programs/pltw-engineering. .

  41. Rethwisch, D. G., Chapman Hayes, M., Starobin, S. S., Laanan, F. S., & Schenk, Jr., T. (2012). A study of the impact of Project Lead The Way on achievement outcomes in Iowa. Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, TX. Retrieved from https://peer.asee.org/a-study-of-the-impact-of-project-lead-the-way-on-achievement-outcomes-in-iowa. .

  42. Riegle-Crumb, C., King, B., Grodsky, E., & Muller, C. (2012). The more things change, the more they stay the same? Prior achievement fails to explain gender inequality in entry into STEM college majors over time. American Educational Research Journal, 49(6), 1048-1073. .

  43. Robinson, M. (2003). Student enrollment in high school AP sciences and calculus: How does it correlate with STEM careers? Bulletin of Science, Technology, & Society, 23(4), 265-273. .

  44. Roderick, M., Coca, V., & Nagaoka, J. (2011). Potholes on the road to college: High school effects in shaping urban students' participation in college application, four-year college enrollment, and college match. Sociology of Education, 84(3), 178-211. .

  45. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. .

  46. Sax, L. J., Kanny, M. A., Riggers-Piehl, T. A., Whang, H., & Paulson, L. N. (2015). "But I'm not good at math": The changing salience of mathematical self-concept in shaping women's and men's STEM aspirations. Research in Higher Education, 56(8), 813-842. .

  47. Schenk, Jr., T., Rethwisch, D., Laanan, F. S., Starobin, S. S., Zhang, Y., & Chapman, M. (2009). Project lead the way interim research report. Des Moines, IA: Iowa Department of Education Community College Workforce Preparation. Retrieved April 3, 2019, from https://www.educateiowa.gov/sites/files/ed/ documents/09_cte_ProjectLeadtheWay_InterimResearchReport712009.pdf. .

  48. StataCorp. (2017). Treatment effects/causal inference. College Station, TX: StataCorp, LLC. .

  49. Tannenbaum, C., & Upton, R. (2014). Early academic career pathways in STEM: Do gender and family status matter? Washington, DC: American Institutes for Research. Retrieved April 3, 2019, from http://www. air.org/resource/early-academic-career-pathways-stem-do-gender-and-family-status-matter. .

  50. Trostel, P. A. (2010). The fiscal impacts of college attainment. Research in Higher Education, 51(3), 220-247. .

  51. Van Overschelde, J. P. (2013). Project Lead the Way students more prepared for higher education. American Journal of Engineering Education, 4(1), 1-12. .

  52. Wang, X. (2013a). Modeling entrance into STEM fields of study among students beginning at community colleges and four-year institutions. Research in Higher Education, 54(6), 664-692. .

  53. Wang, X. (2013b). Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081-1121. .

  54. White House Office of the Press Secretary. (2009). Remarks by the President on the American graduation initiative in Warren, MI. Retrieved June 25, 2010, from https://obamawhitehouse.archives.gov/the-press-office/remarks-president-american-graduation-initiative-warren-mi. .

  55. Wiggins, G., & McTighe, J. (2005). Understanding by design. Alexandria, VA: Association for Supervision and Curriculum Development. .

  56. Wiggins, G., & McTighe, J. (2008). Put understanding first. Educational Leadership, 65(8), 36-41. .

  57. Wooldridge, J. M. (2007). Inverse probability weighted estimation for general missing data problems. Journal of Econometrics, 141(2), 1281-1301. .


Articles with similar content:

CATEGORIZATION OF MINORITY GROUPS IN ACADEMIC SCIENCE AND ENGINEERING
Journal of Women and Minorities in Science and Engineering, Vol.14, 2008, issue 4
Elizabeth A. Corley, Meghna Sabharwal
PLAYING MENTOR: A NEW STRATEGY FOR RECRUITING YOUNG WOMEN INTO COMPUTER SCIENCE
Journal of Women and Minorities in Science and Engineering, Vol.23, 2017, issue 3
Vicki Allan, Katarina Pantic, Jody Clarke-Midura, Frederick Poole
TOO SMALL TO SEE? AFRICAN-AMERICAN UNDER-ENROLLMENT IN ADVANCED HIGH SCHOOL COURSES
Journal of Women and Minorities in Science and Engineering, Vol.18, 2012, issue 4
Mamadi Corra, Michael J. Lovaglia
EXPOSURE, TRAINING, AND ENVIRONMENT: WOMEN'S PARTICIPATION IN COMPUTING EDUCATION IN THE UNITED STATES AND INDIA
Journal of Women and Minorities in Science and Engineering, Vol.15, 2009, issue 3
Roli Varma
ADDRESSING THE GENDER GAP: A TEACHING AND LEARNING STRATEGY IN UNDERGRADUATE SCIENCE COURSES
Journal of Women and Minorities in Science and Engineering, Vol.14, 2008, issue 4
Carrie B. Myers, Scott M. Myers