A Status Analysis of Middle School Students' Preference for Science

  • Published : 2002.12.30

Abstract

The purpose of this research was to survey middle school students' preference for science and its causal factors, so as to analyze the causal relationships between them. Preference for science and its causal factors were defined theoretically, and a theoretical model was constructed to measure them and analyze the causal relationship by structural equation modeling. According to the theoretical model and a pilot test, a questionnaire was developed with three parts; the background information of a respondent, the preference for science, and the causal factors of preference. The questionnaire was administered to one class per grade of randomly selected 8 middle schools from 4 areas across the country, and 819 students' data were collected. Preference for science was defined as a state of mind. It revealed to what extent, and how, one likes science. It consisted of 3 categories - 'emotional response', 'behavioral volition', 'valuational comprehension', and each category was divided into two subcategories. Causal factors affecting the preference for science consisted of three categories - personal, educational and social factors, and each was divided into 2 or 3 subcategories. Middle school students' preference for science was middling as a total. Curiosity about contents of science and valuation of science were high, comparatively, but behavioral volition about science was especially low. Students' responses to the causal factors were relatively high in every educational factor and sociocultural valuation of social factors, but relatively low in socioeconomic rewards of social factors, and especially low in personal factors. The causal relationship about the preference for science was investigated by multiple regression analysis and path analysis, using the structural equation model. Multiple regression analysis about the preference for science and its causal factors revealed important factors. The important factors were personal ability, the personal traits, rewards in school science, and contents of school science in order of magnitude of standardized regression coefficient ${\beta}$. Stepwise regression analysis with each of the subcategories of the preference for science as dependent variables showed what factors were important in each subcategory. According to the result of structural equation modeling, personal factors affected 'emotional response' and 'behavioral volition' directly, and social factors affected 'valuational comprehension' directly. Educational factors affected all categories of the preference for science by influencing not only 'emotional response' and 'valuational comprehension' directly, but also 'behavioral volition' indirectly. The way to promote middle school students' preference for science was suggested, based on the analysis result.

Keywords

References

  1. Aikenhead, G.(2000). Renegotiating the culture of school science, In R. Millar, J. Leach and J. Osborne (Eds.) Improving Science Education, The contribution of research. Open University Press, 245-264
  2. Anderson, L. W.(1981). Assessing Affective Characteristics in the Schools, Allyn and Bacon, Inc.
  3. Bae, B. R.(2000). Structural Equation Model: understanding and application, Daegyeong
  4. Baird, J. H., Lazarowitz, R. & Allman, V.(1984). Science Choices and Preferences of Middle and Secondary School Students in Utah. journal of Research in Science Teaching, 21(1), 47- 54 https://doi.org/10.1002/tea.3660210106
  5. Bennett, J.(2001). Science with attitude: the perennial issue of pupils' responses to science. School Science Review, 82(300), 59-67
  6. Choi, J. S. & Song, J.(1996). Students' Preferences for Different Contexts for Learning Science. Research in Science Education, 26(3), 341-352 https://doi.org/10.1007/BF02356944
  7. Committee on Science Education Development (2002). A Synthetic plan to enforce youth science education, Middle report of policy research of Ministry of Science and Technology
  8. Fensham, P.(2000). Providing suitable content in the 'science for all' curriculum, In R. Millar, J. Leach and J. Osborne (Eds.) Improving Science Education, The contribution of research. Open University Press, 147-164
  9. Head, J.(1980). A Model to Link Personality Characteristics to a Preference for Science. European Journal of Science Education, 2(3), 295-300 https://doi.org/10.1080/0140528800020309
  10. Im, S. M. & Pak, S. J.(2000). An Analysis of Multidimensionality of Interest of Middle School Students' Science Learning. Journal of the Korean Association for Research in Science Education, 20(4), 491-504
  11. International Association for the Evaluation of Educational Achievement (2000). TIMSS 1999 International Science Report: findings from IEA's Repeat of the Third International Mathematics and Science Study at the Eighth Grade
  12. Kim, G. S.(2001). AMOS Analysis of Structural Equation Model, Gorye Information Industry
  13. Rhee, K. J.(2000). Structural Equation Model, Education Science
  14. Markle, G. C.(1978). Assessing the Validity and Reliability of the Subject Preference Inventory with Preservice Elementary Teachers. Journal of Research in Science teaching, 15(6), 519- 522 https://doi.org/10.1002/tea.3660150612
  15. Pak, S. J.(2002). Policy to enhance the preference for science of elementary and secondary school students. The final report of policy research of Presidential Advisory Council for Science and Technology
  16. Sjoberg, S.(2000). Interesting all children in 'science for all', In R. Millar, J. Leach and J. Osborne (Eds.) Improving Science Education, The contribution of research. Open University Press, 165-186
  17. Stark, R. and Gray, D.(1999). Gender preferences in learning science, International Journal of Science Education, 21(6), 633-643 https://doi.org/10.1080/095006999290480
  18. The Association of Science Culture Promotion (2001). A Research of national status survey of elementary and secondary school experiment education and reform policy. Research project supported by Korea Science Foundation
  19. The Korean Association for Research in Science Education (2001). A Research of Synthetic plans for science education promotion, Ministry of Education and Human Resources Development. 2001 Education Policy Research
  20. Woolnough, B. E.(1997). Motivating students or teaching pure science? School Science Review 78(285), 67-72
  21. Yoon, J.(2001). An Analysis on the Factors of Career Choices Related to Science. Unpublished doctoral thesis, Seoul National University