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http://dx.doi.org/10.14697/jkase.2016.36.2.0317

Exploring the motivation for science learning of 3rd year high school students who chose different college majors from their track  

Ha, Minsu (Kangwon National University)
Shin, Sein (Chonbuk National University)
Lee, Jun-Ki (Chonbuk National University)
Publication Information
Journal of The Korean Association For Science Education / v.36, no.2, 2016 , pp. 317-324 More about this Journal
Abstract
This study aims to investigate the motivation for science learning of 3rd year high school students who choose different majors from their track. A total of 2,012 high school 3rd year students participated in this study. We used Science Motivation Questionnaire II (Glynn et al., 2011) to measure the students' science motivation and performed Rasch analysis, MANOVA and logistic regression analysis. First, results showed that 11.5% of students in the science track switched their pathway to a non-STEM major and 14.3% of students in the humanities track switched to a STEM major. In addition, there were gender differences in switching majors. Second, we found a significant difference in science motivation between two groups of students switching their major only in career motivation. Third, science motivation was the significant predictor of STEM major choice; in particular, career motivation was the most influential variable. Based on these results, we proposed that prediction of and paying close attention to students' career motivation are required before making decisions on which track to take.
Keywords
switching track Science learning motivation; High school academic track; STEM major; STEM pathways;
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1 Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17(4), 369-386.   DOI
2 Burns, R. P., & Burns, R. (2008). Business research methods and statistics using SPSS. London, UK: Sage.
3 Cho, A. & Park, J. (2010). The features of 'becoming a scientist' of Korean women scientist. The Journal of Asian Women, 49(2), 83-120.
4 Cho, J., Ok, H., Lee, S., Lim, H., Cha, S., Kim, D., & Lim, J., (2012). Educational policies for improvement based on international students assessment results. Seoul: Korea Institute for Curriculum and Evaluation.
5 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, 1159-1176.   DOI
6 Glynn, S. M., Taasoobshirazi, G., & Brickman, P. (2009). Science Motivation Questionnaire: Construct validation with nonscience majors. Journal of Research in Science Teaching, 46, 127-146.   DOI
7 Ha, M. & Lee, J. K. (2012). Exploring the structure of science motivation components and differences in science motivation in terms of gender and preferred track. Secondary Education Research, 60(1), 1-20.   DOI
8 Ha, M. & Lee, J. K. (2013). The item response, generalizability, and structural validity for the translation of Science Motivation Questionnaire II(SMQ II). The Journal of Learner-Centered Curriculum and Instruction, 13(5), 1-18.
9 Hong, H. J., & Lim, Y. N. (2014). A study of the development and direction of an integrated curriculum of liberal arts and natural sciences in academic high schools. The Journal of Curriculum Studies, 32(2), 67-99.   DOI
10 Jerrim, J. (2015). Why do East Asian children perform so well in PISA? An investigation of Western-born children of East Asian descent. Oxford Review of Education, 41(3), 310-333.   DOI
11 Jo, K. H., Choi, J., & Cho, H. S. (2012) High school students' opinions on choosing their academic track and elective courses for science and mathmatics. Journal of Research in Curriculum & Instruction, 16(3), 839-857.   DOI
12 Kang, S. H. (2010). Predictors of academic achievement and dropout thinking among university students. Journal of Educational Evaluation
13 Kim, T. S. (2011). On the necessity and effect of additional points system in cross-applicants of university admission. Journal of Korean Society of Mathematics Education Series E: Communications of Mathematical Education, 25(3), 525-536.
14 Lee, B., & Chang, S. C. (2008). The effect of educational backgrounds in high school sciences on the achievement of college sciences. The Journal of Curriculum Studies, 26(2), 191-210.   DOI
15 Lee, H., Choi, K., Lee, J. K., Ma, K. H. & Lee, K. (2005). Study on the secondary school students' perception on scientist and woman scientist as career and its role model. Journal of the Korean Association for Science Education, 25(2), 184-196.
16 Lee, J. M., Kim, T. Y., & Heo, E. N. (2001). Continuously decreasing trend of SAT science track applicants, their causes and solutions. Science and technology policy, 11(6), 2-12.
17 Murayama, K., Pekrun, R., Lichtenfeld, S., & von Hofe, R., (2013). Predicting long-term growth in students' mathematics achievement: The unique contributions of motivation and cognitive strategies. Child Development, 84(4), 1475-1490.   DOI
18 Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 667-686.   DOI
19 Park, H. (2008). Test of group invariance for the structural model among motivation, self-concept and student achievement: Using PISA 2006 data. Journal of Educational Evaluation, 21(3), 43-67.   DOI
20 Park, K. (2010). A reinterpretation of the crisis in science and technology through a study of supply and demand of doctorates. The Journal of Korean Education, 37(1), 225-250.
21 Sadler, P. M., Sonnert, G., Hazari, Z. & Tai, R. (2012). Stability and volatility of STEM career interest in high school: A gender study. Science Education, 96(3), 411-427.   DOI
22 Shin, J., Lee, H., McCarthy-Donovan, A., Hwang, H., Yim, S., & Seo, E. J. (2015). Home and motivational factors related to science career pursuit: Gender differences and gender similarities, International Journal of Science Education, 37(9), 1478-1503.   DOI
23 Snow, C. P. (1959). The Two Cultures and the Scientific Revolution. NY: Cambridge University Press.
24 The Korea Economic Magazine (2016). Revival of science and engineering fields: 'Avoiding science and engineering' is an old saying. [URL; http://magazine.hankyung.com/apps/news?popup=0&nid=01&c1=1001 &nkey=2014073100973000421&mode=sub_view Aceess date 2016. 1.12 ]
25 Yoon, S., Han, Y., Im, S., & Kim, W. (2015). A study on the factors that affect college and major selection. The Journal of Korean Education, 42(2), 87-107.
26 Zhu, Y., & Leung, F. K. S. (2011). Motivation and achievement: Is there an east asian model? International Journal of Science and Mathematics Education, 9(5), 1189-1212.   DOI