Journal of Engineering Education Research (공학교육연구)

Korean Society for Engineering Education (한국공학교육학회)
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Student Engagement of STEM-specialized Institutions : A Comparative Study Employing Propensity Score Matching(PSM)

경향점수매칭을 통한 과학기술특성화대학 재학생의 학습참여(student engagement) 분석 : 일반 종합대학 이공계열 및 인문사회계열 학생과 비교

  • Received : 2017.03.29
  • Accepted : 2017.05.10
  • Published : 2017.05.31
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Abstract

This study investigated student engagement of STEM-specialized higher education institutions in comparison with students from humanities & social science and STEM majors, respectively. By doing so, the study aimed to find the effects of the characteristics of STEM disciplines and organizational culture of STEM-specialized small-sized institutions on student engagement. The students majoring STEM disciplines, regardless of the organizational types, showed lower reflective-integrative learning experiences compared to students on humanities & social science disciplines. In contrast, students of STEM-specialized institutions reported significantly higher levels of peer relationship and student-faculty interaction in comparison with humanities & social science students and STEM students of general higher education institutions. Finally, the study suggests policy implications for STEM education.

Keywords

References

  1. 김민정(2011). 이공계 연구중심대학의 통합형 교양교육과정에 대한 연구. 교양교육연구, 6(3), 357-381.
  2. 미래창조과학부(2014). 과학기술특성화대학 활성화 및 육성방안 연구. 서울: 미래창조과학부.
  3. 방담이(2014). 대학생들의 전공계열과 성별에 따른 인식론적 신념과 학습양식 간의 관계. 학습자중심교과교육연구, 14(9), 463-484.
  4. 배상훈(2015). 한국대학이 당면한 고등교육 환경과 대응 전략, 대학교육, 189, 18-22.
  5. 배상훈.강민수.홍지인(2015).한국 대학생의 학습참여 진단을 위한 미국 NSSE 모델 도입 및 타당화. 아시아교육연구, 16(4), 77-104.
  6. 배상훈.홍지인(2015). 한국과 미국 공학계열 대학생의 학습참여 (Student Engagement) 비교. 비교교육연구, 25, 179-207.
  7. 배상훈.박인심.강민수.김혜정.김소영.송해덕(2014). 학부교육 교수, 학습 질 관리 및 제고방안 연구. 서울: 한국대학교육협의회.
  8. 배상훈.박인심.강민수.윤수경.전수빈(2016). 2016년 학부교육 교수.학습 질 관리 및 제고 방안 연구. 서울:한국대학교육협의회.
  9. 배상훈.라은종.홍지인(2016). 수도권과 지방대학 공학계열 학생의 학습참여 비교. 교육학연구, 54(1), 339-373.
  10. 변수연(2014). 이공계 연구중심 대학교의 캠퍼스 문화에 대한 생태학적 탐색. 교육학연구, 52(3), 55-84.
  11. 변수연(2016). 대학 유형과 대학생의 발달, 학습 참여 간의 관련성 및 대응성 탐색. 교육문제연구, 29(3), 57-85.
  12. 임지영(2014). 공학계열과 비공학계열 대학생들의 글로벌 마인드 역량 비교. 공학교육연구, 17(3), 3-7.
  13. 정윤경.오명숙.김지현(2008). 공대 여학생 전공 관련 심리적 특성의 탐색. 공학교육연구, 11(4), 34-45.
  14. 최정윤.신혜숙(2010). 한국 대학에서의 교수-학생 상호작용의 성격과 대학교육 학습성과에 대한 영향 분석: 대학 특성 효과 분석을 중심으로. 한국교육개발원 연구보고서, 37(2), 131-154.
  15. Astin, A. W. (1985). Achieving Educational Excellence. Jossey-Bass,.
  16. Astin, H. S. & Sax, L. J. (1996). Developing scientific talent in undergraduate women. In C. Davis, A. B. Ginorio, C. S. Hollenshead, B. B. Lazarus, P. M. Rayman, & Associates (eds.), The Equity Equation: Fostering the Advancement of Women in the Sciences, Mathematics, and Engineering. San Francisco: Jossey-Bass.
  17. Biglan, A. (1973). The characteristics of subject matter in different academic areas. Journal of applied psychology, 57 (3), 195. https://doi.org/10.1037/h0034701
  18. Braxton, J. M., & Hargens, L. L. (1996). Variation among academic disciplines: Analytical frameworks and research. Higher Education-New York-Agathon Press Incorporated-, 11, 1-46.
  19. Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47 (1), 1-32. https://doi.org/10.1007/s11162-005-8150-9
  20. Cohen, J. (1988). Statistical power analysis for the behavioral sciences Lawrence Earlbaum Associates. Hillsdale, NJ, 20-26.
  21. Ho, D. E., Imai, K. K., & King, G. G. Stuart, EA. (2011). MatchIt: Nonparametric preprocessing for parametric causal inference. Journal of Statistical Software, 42 (8), 1-28.
  22. Huang, G., Taddese, N., & Walter, E. (2000). Entry and persistence of women and minorities in college science and engineering education. NCES 2000-601. Washington, DC: U. S. Department of Education, National Center for Education statistics.
  23. Jehng, J. C. J., Johnson, S. D., & Anderson, R. C. (1993). Schooling and students′ epistemological beliefs about learning. Contemporary Educational Psychology, 18 (1), 23-35. https://doi.org/10.1006/ceps.1993.1004
  24. Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
  25. Kuh, G. D. (2003). What we're learning about student engagement from NSSE: Benchmarks for effective educational practices. Change: The Magazine of Higher Learning, 35 (2), 24-32.
  26. Kuh, G. D. (2009). The national survey of student engagement: Conceptual and empirical foundations. New Directions for Institutional Research, 2009 (141), 5-20. https://doi.org/10.1002/ir.283
  27. Kuh, G. D., & Hu, S. (2001). The effects of student-faculty interaction in the 1990s. The Review of Higher Education, 24 (3), 309-332. https://doi.org/10.1353/rhe.2001.0005
  28. Kuh, G. D., Kinzie, J., Schuh, J. H., & Whitt, E. J. (2011). Student Success in cCollege: Creating Conditions that Matter. John Wiley & Sons.
  29. Laird, T. F. N., Shoup, R., & Kuh, G. D. (2005). Deep learning and college outcomes: Do fields of study differ. Paper presented In Annual Meeting of the Association for Institutional Research.
  30. Laird, T. F. N., Shoup, R., Kuh, G. D., & Schwarz, M. J. (2008). The effects of discipline on deep approaches to student learning and college outcomes. Research in Higher Education, 49 (6), 469-494. https://doi.org/10.1007/s11162-008-9088-5
  31. Museus, S. D. & Liverman, D. (2010). High-performing institutions and their implications for studying underrepresented minority students in STEM. New Directions for Institutional Research, 148, 17-27.
  32. Nelson Laird, T. F., Garver, A. K., & Niskode, A. S.(2007) Gender gaps: Understanding teaching style differences between men and women. Paper presentation at the Annual Forum of the Association for Institutional Research, Kansas City, M., June 2-7, 2007.
  33. Nelson Laird, T. F., Sullivan, D. F., Zimmerman, C., & McCormick, A. C. (2011). STEM/Non-STEM differences in engagement at US institutions. Peer Review, 13 (3), 23-26.
  34. Pascarella, E. T. (1985). College environmental influences on learning and cognitive development: A critical review and synthesis. Higher education: Handbook of theory and research, 1 (1), 1-61. https://doi.org/10.1007/BF01956877
  35. Paulsen, M. B., & Wells, C. T. (1998). Domain differences in the epistemological beliefs of college students. Research in higher education, 39 (4), 365-384. https://doi.org/10.1023/A:1018785219220
  36. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 41-55.
  37. Tan, D. (2002). Majors in science, technology, engineering, and mathematics: Gender and ethnic differences in persistence and graduation. Retrieved October, 10, 2015, from University of Oklahoma website, Center for Student Affair Research, http://www.ou.edu/jrcoe/csar/literature/tan_paper3.pdf
  38. Schommer, M. (1993). Epistemological development and academic performance among secondary students. Journal of Educational Psychology, 85 (3), 406. https://doi.org/10.1037/0022-0663.85.3.406
  39. Seymour, E., & Hewitt, N.M.(1997). Talking about Leaving: Why Undergraduates Leave the Sciences. Boulder, CO: Westview.
  40. Strange, C. C., & Banning, J. H. (2001). Education by Design: Creating Campus Learning Environments That Work. The Jossey-Bass Higher and Adult Education Series. Jossey-Bass, Inc., 989 Market St., San Francisco, CA 94103.
  41. Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45 (1), 89-125. https://doi.org/10.3102/00346543045001089