Journal of Engineering Education Research (공학교육연구)

Korean Society for Engineering Education (한국공학교육학회)
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Current States and Effects of Role Model on the Expertise Development in Engineers

공학 분야 역할모델의 현황과 전문성 계발에 미치는 영향

  • Park, Soowon (Department of Education, Seoul National University) ;
  • Cho, Eunbyul (Department of Education, Seoul National University) ;
  • Lee, ByungYoon (Department of Education, Seoul National University) ;
  • Shin, Jongho (Department of Education, Seoul National University) ;
  • Rhee, Shin Hyung (Department of Naval Architecture & Ocean Engineering, Seoul National University)
  • Received : 2015.12.01
  • Accepted : 2016.05.26
  • Published : 2016.05.31
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Abstract

The purpose of this study was to examine the current states of role model and effects on the expertise development in engineers (i.e., undergraduate students and experts in the field of engineering). Based on the previous studies, role model was categorized into two domain, general role model and value sharing role model. A total of 257 participants (162 undergraduate students, 95 experts) answered survey questions about their role model (the number of their role model, the frequency of meeting with them, and the number of sharing value with them), major confidence, knowledge acquisition, and research performance. The results showed that engineers had 1 or 2 general role models and that the contents of role model were different between the two groups. The value-sharing role model significantly predicted major confidence and research performance in undergraduate students whereas the number of general role model was closely associated with major satisfaction in experts. These results suggest that it is important for engineering major students to have general role model and value-sharing role model in order to enhance expertise development. Establishing infrastructure for having and meeting with role models can facilitate the development of personal expertise in engineers.

Keywords

References

  1. 강소연, 홍성조, 최금진, 박선희, 조성희 (2015). 공학교육인증 제도 효과 분석 연구. 공학교육연구, 18(3):59-68.
  2. 고향자 (1993). 한국 대학생의 의사결정유형과 진로결정수준 분석 요구. 학생생활연구, 18(93.8):57-76.
  3. 권숙인, 강선군 (2003). 우리나라의 공학교육에 대한 발전 방향과 공학교육기술학회의 역할. 한국공학기술학회, 10(1):40-45.
  4. 김대영 외 (2006). 공학전문가가 인식하는 공학기초능력의 구성요소에 관한 연구. 공학교육연구, 9(2):34-51.
  5. 김민선, 서영석 (2009). 공과대학 학생들이 지각한 맥락적 지지와 진로미결정의 관계에서 대처효능감과 결과기대의 매개 효과: 남녀 차이를 중심으로. 한국심리학회지: 여성, 14(1):1-22.
  6. 김태훈 (2015). 전문가 인식 조사에 의한 공학 설계 능력의 정의 및 하위 영역과 요소 도출. 공학교육연구, 18(3):24-32.
  7. 도승이 (2009a). 공과대학 남녀 학생의 전공 수업관련 심리변인을 예측하는 역할모델 변인 탐구. 아시아교육연구, 10(4):177-194.
  8. 도승이 (2009b). 공대 남학생과의 비교를 통한 여자 공대생의 전공수업 및 진로관련 심리적 요인 예측변인 탐구. 교육학연구, 47(3):23-48.
  9. 박문수(2015). 공과대학 혁신을 위한 재정지원사업 및 교수 평가제도 개선에 관한 연구. 공학교육연구, 18(2):27-32.
  10. 박수원 외(2014). 지각된 사회적 지지가 목표추구 및 삶의 만족에 미치는 영향: 공학분야 예비전문가와 전문가 차이를 중심으로. 교육심리연구, 28(4):693-715.
  11. 박수원 외(2015). 목표내용이 공학도의 실패내성에 미치는 영향. 공학교육연구, 18(5):11-21.
  12. 박우창(2014). 컴퓨터 전공 신입생의 성공적 정응 요인 분석, 공학교육연구. 17(4):95-101.
  13. 신선미(2004). 여학생의 이공계 진로선택과 직업세계 이행 성과. 교육학연구, 42(3):205-226.
  14. 신종호 외(2012). 공학전문가 목표인식검사 개발 및 타당화. 교육심리연구, 26(2):353-376.
  15. 오헌석(2006). 전문성 개발과정 및 핵심요인에 관한 연구. 직업능력 개발연구, 12: 193-216.
  16. 오헌석, 김정아(2007). 전문성 연구의 주요 쟁점과 전망. 기업교육연구, 9(1):143-168.
  17. 오헌석 외(2009). 최고 수준 전문가와 보통 수준 전문가의 특성 비교 분석. 아시아교육연구, 10(4):105-135.
  18. 임정연, 이영민(2008). 4년제 대학 이공계 전공 여학생의 직업 준비 과정이 이행결과에 미치는 영향. 직업능력개발연구, 11(2):24-47.
  19. Astin, H. S. & Sax, L. J. (1996). Developing scientific talent in undergraduate women, in Davis, Cinda-Sue et al.,(Eds.). The equity equation: fostering the advancement of women in science, mathematics, and engineering, Jossey-Bass Publishers, 96-121.
  20. Basow, S. A., & Howe, K. G. (1980). Role-model influence: Effects of sex and sex-role attitude in college students. Psychology of Women Quarterly, 4(4):558-572. https://doi.org/10.1111/j.1471-6402.1980.tb00726.x
  21. Beechler, S., & Woodward, I. C. (2009). The global “war for talent”. Journal of International Management, 15(3):273-285. https://doi.org/10.1016/j.intman.2009.01.002
  22. Betz, N. E., & Fitzgerald, L. F. (1987). The career psychology of women. Academic Press.
  23. Bong, M. (2001). Role of self-efficacy and task-value in predicting college students' course performance and future enrollment intentions. Contemporary Educational Psychology, 26(4):553-570. https://doi.org/10.1006/ceps.2000.1048
  24. Bucher, R., & Stelling, J. G. (1977). Becoming professional. Sage.
  25. Chi, M. T. H. & Koeske, R. D. (1983). Network representation of a child's dinosaur knowledge. Development Psychology, 19 : 23-39.
  26. Eccles, J., et al. (1983). Expectancies, values, and academic behaviors. In J. T. Spence(Ed.). Achievement and achievement motives(pp. 75-146). San Francisco:Freeman.
  27. Eggen, P. D., & Kauchak, D. (2003). Windows on classrooms(6th ed.). Upper Saddle River, NJ: Merrill/Prentice Hall.
  28. Eggen, P., & Kauchak, D. (2006). Strategies and models for teachers: Teaching content and thinking skills(5th Edition). Boston: Allyn & Bacon.
  29. Ericsson K. A., Krampe R. T., & Tesch-Romer, C. (1993). The Role of Deliberate Practice in the Acquisition of Expert Performance. Psychological Review, 100(3):363-406. https://doi.org/10.1037/0033-295X.100.3.363
  30. Feldman, D. H. (1995). Learning and development in Nonuniversal Theory. Human Development, 38(6):315-321. https://doi.org/10.1159/000278337
  31. Fiske, S. T., Kinder, D. R., & Larter, W. M. (1983). The novice and the expert: Knowledge-based strategies in political cognition. Journal of Experimental Social Psychology, 19(4):381-400. https://doi.org/10.1016/0022-1031(83)90029-X
  32. Gibson, D. E. (2004). Role models in career development:New directions for theory and research. Journal of Vocational Behavior, 65(1):134-156. https://doi.org/10.1016/S0001-8791(03)00051-4
  33. Glaser, R. (1985). Thoughts on expertise(No. TR-8). PITTSBURGH UNIV PA LEARNING RESEARCH AND DEVELOPMENT CENTER.
  34. Hackett, G., & Betz, N. E. (1981). A self-efficacy approach to the career development of women. Journal of Vocational Behavior, 18(3):326-339. https://doi.org/10.1016/0001-8791(81)90019-1
  35. Harren, V. A. (1984). Assessment of career decision making. Los Angeles: Western Psychological Services.
  36. Herling, R. W. (1998). Expertise: The development of an operational definition for human resource development. In Academy of human resource development(pp. 715-722).
  37. Hill, D. C. (2013). Perceptions About the Influence of ABET Accreditation on OSH Education. Professional Safety, 57(10):53-61.
  38. Husman, J. et al. (2004). Instrumentality, task value, and intrinsic motivation: Making sense of their independent interdependence. Contemporary Educational Psychology, 29(1):63-76. https://doi.org/10.1016/S0361-476X(03)00019-5
  39. Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1):79-122. https://doi.org/10.1006/jvbe.1994.1027
  40. Lent, R. W. et al. (2010). Longitudinal test of the social cognitive model of choice in engineering students at historically Black universities. Journal of Vocational Behavior, 76(3):387-394. https://doi.org/10.1016/j.jvb.2009.09.002
  41. Lent, R. W. et al. (2005). Social cognitive predictors of domain and life satisfaction: Exploring the theoretical precursors of subjective well-being. Journal of Counseling Psychology, 52(3):429-442. https://doi.org/10.1037/0022-0167.52.3.429
  42. Nauta, M. M., & Kokaly, M. L. (2001). Assessing role model influences on students' academic and vocational decisions. Journal of Career Assessment, 9(1):81-99. https://doi.org/10.1177/106907270100900106
  43. Pintrich, P. R., & Schrauben, B. (1992). Students' motivational beliefs and their cognitive engagement in classroom academic tasks. Student perceptions in the classroom, 7 : 149-183.
  44. Pleiss, M. K., & Feldhusen, J. F. (1995). Mentors, role models, and heroes in the lives of gifted children. Educational Psychologist, 30(3):159-169. https://doi.org/10.1207/s15326985ep3003_6
  45. Prados, J. W. (2004). Can ABET Really Make a Difference? International Journal of Engineering Education, 20(3):315-317.
  46. Prados, J. W., Peterson, G. D., & Lattuca, L. R. (2005). Quality Assurance of Engineering Education through Accreditation: The Impact of Engineering Criteria 2000 and Its Global Influence. Journal of Engineering Education, 94(1):165-184. https://doi.org/10.1002/j.2168-9830.2005.tb00836.x
  47. Seymour, E., & Hewitt, N. M. (1997). Talking about leaving. Westview Press.
  48. Swanson, R. A., & Holton, E. F. (1999). Results: How to assess performance, learning, and perceptions in organizations. Berrett-Koehler Publishers.
  49. Walls, J. et al. (1998). Assessment of upwind dinghy sailing performance using a virtual reality dinghy sailing simulator. Journal of Science and Medicine in Sport, 1(2):61-72. https://doi.org/10.1016/S1440-2440(98)80014-5
  50. Ward, P., Williams, A. M., & Bennett, S. J. (2002). Visual search and biological motion perception in tennis. Research Quarterly for Exercise and Sport, 73(1):107-112. https://doi.org/10.1080/02701367.2002.10608997
  51. Williams, A. M. et al. (1994). Visual search strategies in experienced and inexperienced soccer players. Research Quarterly for Exercise and Sport, 65(2):127-135. https://doi.org/10.1080/02701367.1994.10607607