DOI QR코드

DOI QR Code

Measurement of Motivation to Learn Physics in Engineering College Students

공학계열 대학생의 물리학습동기 측정

  • Received : 2020.02.20
  • Accepted : 2020.04.09
  • Published : 2020.04.30

Abstract

The purpose of this study is to investigate motivation to learn physics in order to understand engineering college students' physics learning. Therefore, in this study, 374 engineering students at the university located in Seoul were studied using the Physics Motivation Questionnaire (PMQ), which was a Science Motivation Questionnaire II modified into the context of learning physics. The PMQ is composed of five factors: intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. It involves 25 Likert scale items. Through exploratory factor analysis, PMQ confirms that the five factors are structurally valid in measuring the motivation of engineering students to learn physics. In addition, item fit (MNSQ) was also confirmed using a Rasch model analysis. The results show that grade motivation has the highest mean with 4.2, followed by job motivation mean with 3.76. The mean of intrinsic motivation was 3.42, the self-efficacy was 3.38, and self-determination was 3.32. The results of this study confirm that the physics learning motivation of engineering college students is characterized showing high external motivation related to job and grade. Therefore, we should try to develop the teaching strategy to increase intrinsic motivation by developing mastery goal orientation of physics learning for engineering students.

본 연구는 공학대학 학생들의 물리학에 대한 자발적인 학습이 이뤄지지 않는 이유를 탐색하기 위해 물리학습동기를 측정하였다. 본 연구에서는 Glynn 등이 개발한 Science Motivation Questionnaire II(SMQ II)을 물리학습 상황으로 수정한 Physics Motivation Questionnaire(PMQ)을 이용하여 서울에 위치하는 C대학의 공학계열 1학년 학생 374명을 대상으로 물리학습동기를 측정하였다. PMQ는 intrinsic motivation, career motivation, self-determination, self-efficacy, grade motivation의 5요인으로 구성되며 총 25개 리커트 척도문항의 검사도구이다. PMQ는 탐색적요인분석(EFA)를 통해 5가지 요인이 공학계열 대학생들의 물리학습동기를 측정하는데 있어 구조적으로 타당함을 확인하였다. 또한 라쉬(Rasch)모델 분석을 활용하여 문항적합도(MNSQ)를 확인하였다. 측정결과, 물리학습동기의 요인 중에서는 성적동기가 평균 4.18로 가장 높게 나타났으며, 그 다음으로 직업동기가 평균 3.75으로 높은 수준으로 나타났다. 그리고 내재동기는 평균 3.42, 자기효능감은 평균 3.38, 자기결정력는 평균 3.32로 나타났다. 이와 같은 연구 결과를 통해 공학대학 학생들의 과학학습 동기는, 점수 및 직업과 관련된 외적 동기가 높게 나타나는 특성이 있음을 확인할 수 있었다. 따라서 공학계열 학생들 물리학습에 대한 숙달목표지향을 가지고 내적 동기를 높일 수 이도록 하는 교수-학습 전략의 개발에 노력해야 할 것이다.

Keywords

References

  1. Adesoji, F. A. (2008). Managing students' attitudes towards science through problem-solving instructional strategy. Anthropologist, 10(1), 21-24. https://doi.org/10.1080/09720073.2008.11891024
  2. Argaw, A., Haile, B., Ayalew, B., & Kuma, S. (2017). The effect of problem based learning (PBL) instruction on students' motivation and problem solving skills of physics. EURASIA Journal of Mathematics Science and Technology Education, 13(3), 857-871.
  3. Bomia, L., Beluzo, L., Demeester, D., Elander, K., Johnson, M., & Sheldon, B. (1997). The Impact of Teaching Strategies on Intrinsic Motivation. Champaign, IL. Retrieved February 11, 2020, from https://files.eric.ed.gov/fulltext/ED418925.pdf
  4. Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch Analysis in The Human Sciences. Dordrecht, Netherlands: Springer Netherlands.
  5. Cavallo, A.M.L., Rozman, M., Blinkenstaff, J., & Walker, N. (2003). Students' learning approaches, reasoning abilities, motivational goals, and epistemological beliefs in differing college science courses. Journal of College Science Teaching, 33(3), 18-23.
  6. Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  7. Galton, M. (2009). Moving to Secondary School: Initial Encounters and Their Effects. In M. Galton, S. Steward, & L. Hargreaves (Eds.), Motivating your Secondary Class (pp. 37-59). London: SAGE Publications.
  8. Glynn, S. M., & Koballa, T. R., Jr. (2006). Motivation to learn in college science. In J. Mintzes & W.H. Leonard (Eds.), Handbook of college science teaching (pp. 25-32). Arlington, VA: National Science Teachers Association Press.
  9. Glynn, S. M., Taasoobshirazi, G., & Brickman, P. (2007). Nonscience majors learning science: A theorical model of motivation. Journal of Research in Science Teaching, 44(8), 1088-1107. https://doi.org/10.1002/tea.20181
  10. Glynn, S. M., Taasoobshirazi, G., & Brickman, P. (2009). Science motivation questionnaire: Construct validation with nonsicnece majors. Journal of Research in Science Teaching, 46(2), 127-146. https://doi.org/10.1002/tea.20267
  11. Glynn, S. M., Brickman, P., Armstrong, N., & Taasoobshirazi, G. (2011). Science motivation questionnaire II: Validation with science majors and nonscience majors. Journal of Research in Science Teaching, 48(10), 1159-1176. https://doi.org/10.1002/tea.20442
  12. Gungor, A., Eryilmaz, A., & Fakioglu, T. (2007). The Relationship of Freshmen's Physics Achievement and Their Related Affective Characteristics. Journal of Research in Science Teaching, 44(8), 1036-1056. https://doi.org/10.1002/tea.20200
  13. Ha, M., Shin, S., & Lee, J.-K. (2016). Exploring the motivation for science learning of 3rd year high school students who chose different college majors from their track. Journal of the Korean Association for Science Education, 36(2), 317-324. https://doi.org/10.14697/jkase.2016.36.2.0317
  14. Haggerty, S. M. (1987) Gender and science achievement: a case study. International Journal of Science Education, 9(3), 271-279. https://doi.org/10.1080/0950069870090303
  15. Im, S. (2001). The Relation between cognitive belief about learning physics and understanding of wave concept (Unpublished doctoral dissertation). Seoul National University, Seoul, Korea.
  16. Kang, Y., & Kim, J. (2013). Comparison engineering students' beliefs with professors' expectations about the cognitive beliefs and the motivational beliefs in learning physics. Journal of Engineering Education Research, 16(2), 50-57. https://doi.org/10.18108/jeer.2013.16.2.50
  17. Kim, Y. (2005). Educational Psychology. Seoul: Hyungseul.
  18. Kim, J., Park, S., Kim, H., Kim, D., Kim, H., & Kim, J. (2009) A questionnaire survey of the levels of necessity for learning physics and of understanding physics subjects as perceived by engineering-major students. Sae Mulli, 58(2), 179-185.
  19. Ko, Y., Lee, H., & Kim. S. (2015). Gender differences of physics major college students' conceptual understanding and its degree of certainty in the subject of quantum mechanics. Sae Mulli, 65(8), 812-824. https://doi.org/10.3938/NPSM.65.812
  20. Mazlo, J., Dormedy, D. F., Neimoth-Anderson, J. D., Urlacher, T., Carson, G. A., & Kelter, P. B. (2002). What motivates students in the lab? Assessment of motivational methods in the general chemistry laboratory. Journal of College Science Teaching, 36(5), 318-321.
  21. Moon, Y. (2009). A study on the mediation effects of psychological well-being in the relations between academic motivation and adjustment to college among social welfare majors. Korean Journal of Youth Studies, 16(9), 31-51.
  22. Mun, E., & Kim, C. (2003). The relationships between parents' perceptions of parental involvement and the academic motivation and achievement of elementary and middle school students. The Korean Journal of Educational Psychology, 17(2), 271-288.
  23. Mun, K., & Nam, H. (2018). Comparison of engineering freshman's high school physics selection and general physics achievement based on college admission types - Case of engineering freshman in 2017 of C university-. Journal of Learner-Centered Curriculum and Instruction, 18(8), 155-169
  24. Nam, H., & Mun, K. (2016). Exploration of freshmen engineering students' physics concept understanding. Journal of Learner-Centered Curriculum and Instruction, 16(4), 985-1000. https://doi.org/10.22251/jlcci.2016.16.11.985
  25. Neumann, I., Neumann, K., & Nehm, R. (2011). Evaluating instrument quality in science education: Rasch-based analyses of a nature of science test. International Journal of Science Education, 33(10), 1373-1405. https://doi.org/10.1080/09500693.2010.511297
  26. Osborne, J. A., Simon, S. B., & Collins, S. (2003). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25(9), 1049-1079. https://doi.org/10.1080/0950069032000032199
  27. Reeve, J., Hamm, D., & Nix, G. (2003). Testing models of the experience of self-determination in intrinsic motivation and the conundrum of choice. Journal of Educational Psychology, 95(2), 375-392. https://doi.org/10.1037/0022-0663.95.2.375
  28. Ramnarain, U. D., & Ramalila, S. (2014). The achievement goal orientation of south african first year university physics students. International Journal of Science and Mathematics Education, 14, 81-105. https://doi.org/10.1007/s10763-014-9590-5
  29. Rennie, L. J., & Parker, L. H. (1991). Assessment of learning in science: The need to look closely at item characteristics. The Australian Science Teachers Journal, 37(4), 56-59.
  30. Vedder-Weiss, D., & Fortus, D. (2011). Adolescents' declining motivation to learn science: Inevitable or not? Journal of Research in Science Teaching, 48(2), 199-216 https://doi.org/10.1002/tea.20398
  31. Vedder-Weiss, D., & Fortus, D. (2013). School, teacher, peers, and parents' goals emphases and adolescents' motivation to learn science in and out of school. Journal of Research in Science Teaching, 50(8), 952-988. https://doi.org/10.1002/tea.21103
  32. Zusho, A., & Pintrich, P. R. (2003). Skill and will: The role of motivation and cognition in the learning of college chemistry. International Journal of Science Education, 25(9), 1081-1094. https://doi.org/10.1080/0950069032000052207