Problematizing the STEM Pipeline Metaphor: Is the STEM Pipeline Metaphor Serving Our Students and the STEM Workforce?

Science Education

Volumn 98, Issue 3, 2014, Pages 443-460

  Cannady, Matthew A ^a   Greenwald, Eric ^b   Harris, Kimberly N ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SRI INTERNATIONAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84898682106     PISSN: 00368326     EISSN: 1098237X     Source Type: Journal    
DOI: 10.1002/sce.21108     Document Type: Article

References (52)

1. Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college. Washington, DC: U.S. Department of Education.
2. Alfred, M. V. (2001). Expanding theories of career development: Adding the voices of African American women in the White academy. Adult Education Quarterly, 51(2), 108-127.
3. Augustine, N. R. (2005). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Committee on Prospering in the Global Economy of the 21st Century. Washington, DC: National Academies Press. Retrieved March 19, 2008, from http://www7.nationalacademies.org/ocga/testimony/gathering_storm_energizing_and_employing_america2.asp.
4. Barton, A. C., & Tan, E. (2010). We be burnin'! Agency, identity, and science learning. Journal of the Learning Sciences, 19(2), 187-229.
5. Best, L. R. (2011). Algebra for every eighth grade student: One size fits all? Unpublished doctoral dissertation, University of Wisconsin, Madison.
6. Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17(4), 369-386.
7. Borgman, C. L. (2007). Scholarship in the digital age: Information, infrastructure, and the Internet. Cambridge, MA: MIT Press.
8. Brody, L. (2006). Measuring the effectiveness of STEM talent initiatives for middle and high school students. Paper presented at the meeting of the National Academies Center for Education, in collaboration with the American Psychological Association, U.S. Department of Education, National Institutes of Health, National Science Foundation, and National Commission on Teaching and America's Future, Washington, DC (Vol. 12, p. 2009).
9. Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187-1218.
10. Clausen, J. A. (1986). The life course: A sociological perspective. Englewood Cliffs, NJ: Prentice-Hall.
11. Cleary, T. J., & Chen, P. P. (2009). Self-regulation, motivation, and math achievement in middle school: Variations across grade level and math context. Journal of School Psychology, 47(5), 291-314.
12. Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2012). The aftermath of accelerating algebra: Evidence from a district policy initiative (No. w18161). Cambridge, MA: National Bureau of Economic Research.
13. Committee on Equal Opportunity in Science and Engineering. (2004). Broadening participation in America's science and engineering workforce: The 1994-2003 decennial and 2004 biennial reports to Congress. Washington, DC: National Science Foundation.
14. Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design and analysis issues. Boston: Houghton Mifflin.
15. Department of Education, Civil Rights Data Collection. (2009). State and National Estimates [Data file]. Retrieved September 2012 from http://ocrdata.ed.gov.
16. Eagan, M. K., Jr., Hurtado, S., & Chang, M. J. (2010, October). What matters in STEM: Institutional contexts that influence STEM bachelor's degree completion rates. Paper presented at the annual meeting of the Association for the Study of Higher Education, Indianapolis, IN.
17. Gainor, K. A., & Lent, R. W. (1998). Social cognitive expectations and racial identity attitudes in predicting the math choice intentions of Black college students. Journal of Counseling Psychology, 45(4), 403.
18. Gamoran, A., Porter, A. C., Smithson, J., & White, P. A. (1997). Upgrading high school mathematics instruction: Improving learning opportunities for low-achieving, low-income youth. Educational Evaluation and Policy Analysis, 19(4), 325-338.
19. Kerckhoff, A. C. (1993). Diverging pathways: Social structure and career deflections. New York: Cambridge University Press.
20. Kokkelenberg, E. C., & Sinha, E. (2010). Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students. Economics of Education Review, 29(6), 935-946.
21. Leggon, C. B. (2006). Women in science: Racial and ethnic differences and the differences they make. Journal of Technology Transfer, 31(3), 325-333.
22. Liang, J. H., Heckman, P. E., & Abedi, J. (2012). What do the California standards test results reveal about the movement toward eighth-grade algebra for all? Educational Evaluation and Policy Analysis, 34(3), 328-343.
23. Loveless, T. (2008). The misplaced math student: Lost in eighth-grade algebra. Washington, DC: Brown Center on Education Policy at Brookings.
24. Malone, K. R., & Barabino, G. (2009). Narrations of race in STEM research settings: Identity formation and its discontents. Science Education, 93(3), 485-510.
25. Maltese, A. V., & Tai, R. H. (2011). Pipeline persistence: Examining the association of educational experiences with earned degrees in STEM among U.S. students. Science Education, 95(5), 877-907.
26. McDermott, R., & Varenne, H. (1995). Culture as disability. Anthropology & Education Quarterly, 26(3), 324-348.
27. Meece, J. L., Blumenfeld, P. C., & Hoyle, R. H. (1988). Students' goal orientations and cognitive engagement in classroom activities. Journal of Educational Psychology, 80(4), 514.
28. Metcalf, H. (2010). Stuck in the pipeline: A critical review of STEM workforce literature. InterActions: UCLA Journal of Education and Information Studies, 6(2), Article 4.
29. National Academy of Science. (2005). Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC: National Academies Press.
30. National Academy of Sciences, Institute of Medicine, & National Academy of Engineering (by Members of the 2005 "Rising Above the Gathering Storm" Committee). (2010). Rising Above the Gathering Storm, Revisited: Rapidly Approaching Category 5. Washington, DC: National Academies Press.
31. National Center on Education and the Economy. (2013). What does it really mean to be college and work ready? The mathematics required of first year community college students. Washington, DC: Author.
32. New York Hall of Science. (2012). Design-make-play: Growing the next generation of science innovators. Retrieved March 25, 2014, from http://www.yingtrsef.org/wp-content/uploads/DesignMakePlay_Report-2012.pdf.
33. Nicholls, G. M., Wolfe, H., Besterfield-Sacre, M., Shuman, L. J., & Larpkiattaworn, S. (2007). A method for identifying variables for predicting STEM enrollment. Journal of Engineering Education, 96(1), 33-44.
34. Nicholls, G. M., Wolfe, H., Besterfield-Sacre, M. E., & Shuman, L. J. (2010). Predicting STEM degree outcomes based on eighth grade data and standard test scores. Journal of Engineering Education, 99(3), 209-223.
35. Nomi, T. (2012). The unintended consequences of an algebra-for-all policy on high-skill students effects on instructional organization and students' academic outcomes. Educational Evaluation and Policy Analysis, 34(4), 489-505.
36. Ost, B. (2010). The role of peers and grades in determining major persistence in the sciences. Economics of Education Review, 29(6), 923-934.
37. Pawley, A. L., & Hoegh, J. (2011, June). Exploding pipelines: Mythological metaphors structuring diversity-oriented engineering education research agendas. Paper presented at the American Society for Engineering Education Annual Conference, Vancouver, BC, Canada.
38. Perna, L. W. (Ed.). (2012). Preparing today's students for tomorrow's jobs in metropolitan America. Philadelphia: University of Pennsylvania Press.
39. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33.
40. Portland Metro STEM Partnership. (2012). Executive Summary. Retrieved March 25, 2014, from http://pdxstem.org/wpcontent/uploads/2012/04/STEM-Executive-Summary.pdf.
41. President's Council of Advisors on Science and Technology (U.S.). (2010). Prepare and inspire: K-12 education in science, technology, engineering, and math (STEM) for America's future: Executive report. Washington, DC: Executive Office of the President, President's Council of Advisors on Science and Technology.
42. Roach, S. (2001). The impact of technology on engineering and computer science education in the 21st Century: Changing classroom instructional methods. Paper presented at the Frontiers in Education Conference, Reno, NV.
43. Rose, H., & Betts, J. R. (2001). Math matters: The links between high school curriculum, college graduation, and earnings. San Francisco: Public Policy Institute of California.
44. Snyder, T. D., & Dillow, S. A. (2009). Digest of education statistics, 2008 (Vol. 45). Washington, DC: National Center for Education Statistics.
45. Tai, R. H., Liu, C. Q., Maltese, A. V., & Fan, X. (2006). Planning early for careers in science. Science, 312(5777), 1143-1144.
46. Tai, R. H., Sadler, P. M., & Mintzes J. J. (2006). Factors influencing college science success. Journal of College Science Teaching, 36(1), 52-56.
47. Tyson, W. (2011). Modeling engineering degree attainment using high school and college physics and calculus coursetaking and achievement. Journal of Engineering Education, 100(4), 760-777.
48. Tyson, W., Lee, R., Borman, K. M., & Hanson, M. A. (2007). Science, technology, engineering, and mathematics (STEM) pathways: High school science and math coursework and postsecondary degree attainment. Journal of Education for Students Placed at Risk, 12(3), 243-270.
49. Xie, Y., & Killewald, A. A. (2012). Is American science in decline? Cambridge, MA: Harvard University Press.
50. Xie, Y., & Shauman, K. A. (1997). Modeling the sex-typing of occupational choice influences of occupational structure. Sociological Methods & Research, 26(2), 233-261.
51. Xie, Y., & Shauman, K. A. (2003). Women in science: Career processes and outcomes (Vol. 26, No. 73.4). Cambridge, MA: Harvard University Press.
52. Zirkel, S. (2002). Is there a place for me? Role models and academic identity among white students and students of color. Teachers College Record, 104(2), 357-376.