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Effect of Motivational Belief about Learning Science and Self-Directed Learning Ability on Middle School Students' Conceptual Understanding of Matter Change

과학학습에 대한 동기적 신념과 자기주도 학습능력이 중학생의 물질 변화 개념 이해에 미치는 영향

  • Received : 2016.01.26
  • Accepted : 2016.02.13
  • Published : 2016.02.29

Abstract

The purpose of this study is to explore the relationship between motivational belief about learning science, self-directed learning ability and conceptual understanding of matter change with a quantitative method, assuming that motivational belief and self-directed learning ability might affect conceptual understanding. To do this, the authors investigated middle school students' motivational belief about learning science, self-directed learning ability, and conceptual understanding of matter change using measurement tools based on previous studies, and then analysed the casual relationship between three variables using PLS structural equation model. As a result, three latent variables in this study could be evaluated as appropriated in reliability and validity. And also, self-directed learning ability could affect both the motivational belief and conceptual understanding, while motivational belief could affect only self-directed learning ability but not conceptual understanding. Through this study the authors confirmed that in the context of science learning self-directed learning ability can directly affect conceptual understanding but motivational belief can affect indirectly. This study is significant in that the causal relationship between different variables in science learning could be confirmed in a quantitate manner, and also in that it can suggest PLS structural equation method as a new research methodology in science education research area.

Keywords

motivational belief;self-directed learning ability;matter change;conceptual understanding;PLS structural equation model

References

  1. Atkinson, J. W. (1964). An introduction to motivation. Princeton. NJ: Van Nostrand.
  2. Bandura, A. (1978). The self system in reciprocal determinism. American Psychologist, 33(4), 344-358. https://doi.org/10.1037/0003-066X.33.4.344
  3. Chemistry Education Research Group (1998). A handbook on students' chemistry misconception. Korean National University of Education.
  4. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In: G. A. Marcoulides (Ed.), Modern methods for Business Research, (pp.295-336). Mahwah, NJ: Lawrence Erlbaum Associates.
  5. Cobern, W. W. (1996). Worldview theory and conceptual change in science education. Science Education, 80(5), 579-610. https://doi.org/10.1002/(SICI)1098-237X(199609)80:5<579::AID-SCE5>3.0.CO;2-8
  6. Driver, R. (1989). Students' conceptions and learning of science. International Journal of Science Education, 11(5), 481-490. https://doi.org/10.1080/0950069890110501
  7. Gagne, N. L., & Berliner, D. C. (1984). Educational psychology (3rd ed.). Boston: Houghton Mifflin Company.
  8. Gallagher, J. J. (1991). Prospective and practicing secondary school science teachers knowledge and beliefs about the philosophy of science. Science Education, 75(1), 121-133. https://doi.org/10.1002/sce.3730750111
  9. Hammer, D. (1994a). Students' belief about conceptual knowledge in introductory physics. International Journal of Science Education, 16(3), 385-403. https://doi.org/10.1080/0950069940160402
  10. Hammer, D. (1994b). Epistemological beliefs in introductory physics. Cognition and Instruction, 12(2), 151-183. https://doi.org/10.1207/s1532690xci1202_4
  11. Henseler, J. & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling, Computational Statistics. 28(2), 565-580. https://doi.org/10.1007/s00180-012-0317-1
  12. Henseler, J., Ringle, C. M. & Sinikovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277-320.
  13. Hewson, P. W. A. (1981). A conceptual change approach to learning science, European Journal of Science Education, 3(4), 383-396. https://doi.org/10.1080/0140528810304004
  14. Im, S. (2001). A Doctoral thesis, Seoul National University, Unpublished.
  15. Im, S. (2008). An use of epistemological resources as an instructional strategy for learning physics. Sae Mulli: New Physics, 57(6), 381-390.
  16. Kang, S.-J. & Noh, T. (2000). Students' conception on chemistry, Chemistry Education, 27(3). 33-40.
  17. Kim, H. K. (1997). A Master's thesis, Seoul National University, Unpublished.
  18. Knowles, M. S. (1975). Self-directed learning: A guide for learner and teachers. Chicago: Association Press Follett Publishing Company.
  19. Korea Foundation for the Advancement of Science and Creativity (2013). A research on assessment for expected outcomes of STEAM education, Seoul: KOFAC.
  20. Kwon, H. & Noh, T. (2001). Instructional effects of multiple analogies on conceptual understanding and learning motivation. Journal of the Korean Chemical Society, 45(2), 177-183.
  21. Kwon, S. (1994). A Doctoral thesis, Seoul National University, Unpublished.
  22. Lederman, N. G. (1992). Students and teachers conceptions of the nature of science : A review of the research. Journal of Research in Science Teaching, 29(4), 331-359. https://doi.org/10.1002/tea.3660290404
  23. Paik, S.-H., Kang, D.-H., Kim, H.-K., Chae, W.-K. & Kwon, K. (1999a). Preconceptions of middle school students related to a “Chemical Change” conceptions and the effects of the concept change teaching and learning theory by representing the situations which conflict with students' preconception. Journal of the Korean Chemical Society, 43(2), 213-224.
  24. Paik, S.-H., Kim, H.-K., Chae, W.-K. & Kwon, K. (1999b). Effect of students' learning motivations on concept change. Journal of the Korean Association for Research in Science Education, 19(1), 91-99.
  25. Pines, A. L. & West, L. H. T. (1986). Conceptual understanding and science learning: An interpretation of research within a source of knowledge framework. Science Education, 70(5), 583-604. https://doi.org/10.1002/sce.3730700510
  26. Pintrich, P. R., & DeGroot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-40. https://doi.org/10.1037/0022-0663.82.1.33
  27. Pintrich, P. R., Marx, R. W., & Boyle, R. A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 63(2), 167-199. https://doi.org/10.3102/00346543063002167
  28. Pomeroy, D. (1993). Implications of teachers beliefs about the nature of science, Science Education, 77, 261-278. https://doi.org/10.1002/sce.3730770302
  29. Redish, F. R., Saul, J. M., & Steinberg, R. N. (1998). Student expectations in introductory physics. American Journal of Physics, 66(3), 212-224. https://doi.org/10.1119/1.18847
  30. Ryan, A. G. & Aikenhead, G. S. (1992). Students preconceptions about the epistemology of science. Science Education, 76(6), 559-580. https://doi.org/10.1002/sce.3730760602
  31. Sanchez, G. (2013). PLS Path Modeling with R. (Available at http://www.gastonsanchez.com/PLS_Path_Modeling_with_R.pdf)
  32. Song, I.-S. (2006). Self-directed learning for classroom practice. Seoul: Hakjisa.
  33. Songer, N. B., Linn, M. C. (1991). How do students' view of science influence knowledge integration?. Journal of Research in Science Teaching, 28(9), 761-784. https://doi.org/10.1002/tea.3660280905
  34. Tsai, C. (1998). An analysis of scientific epistemological belief and learning orientations of Taiwanese eighth graders, Science Education, 82(4), 473-489. https://doi.org/10.1002/(SICI)1098-237X(199807)82:4<473::AID-SCE4>3.0.CO;2-8
  35. Uguroglau, M., & Walberg, H. J. (1979). Motivation and achievement: A quantitative synthesis. American Educational Research Journal, 16(4), 375-389. https://doi.org/10.3102/00028312016004375
  36. Wigfield, A. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68-81. https://doi.org/10.1006/ceps.1999.1015
  37. Yang, M.-H. (2000). A Doctoral thesis, Seoul National University, Unpublished.
  38. Yoon, C. & Kim, S. (2014). A tutorial on PLS structural equating modeling using R: Centering on exemplified research model and data. Information Systems Review, 16(3). 89-112.