Cognitive Conflict and Causal Attributions to Successful Conceptual Change in Physics Learning

  • Published : 2004.08.30

Abstract

The purpose of this study is to investigate the relationships between cognitive conflict and students' causal attributions and to find out what kinds of attributions affect successful resolution of cognitive conflict in learning physics. Twenty-nine college students who attended a base general physics course took an attribution test and a conceptual pretest related to action and reaction concept. Of these, twenty students who revealed alternative conceptions were selected. They were confronted with a discrepant demonstration and took part in the cognitive conflict level test, a posttest, and delayed posttest. Those students who experienced high levels of cognitive conflict were selected and interviewed to find out what kinds of attributions affect resolving the conflict. When confronted with the discrepant event, the students who attributed success outcomes to "effort" experienced higher levels of cognitive conflict than those to "task difficulty." However, those students who revealed high levels of cognitive conflict and attributed success outcomes to effort did not always produce conceptual change. They had different perspectives on effort and conducted different effort activities to resolve the cognitive conflict. In addition, these effort activities appeared to include their motivational beliefs, metacognitive and volitional strategies. The results of this study indicate that in order for the conflicts to lead to change, students need to have the perspective on effort implying the use of the self-regulated learning strategy and to conduct effort activities based on them. Beyond cold conceptual change, this article suggests that there is a management strategy of cognitive conflict in the classroom context.

Keywords

References

  1. Alexander, P. A. (1995). Superimposing a situation-specific and domain-specific perspective on an account of self-regulated learning. Educational Psychologist, 30, 189-193 https://doi.org/10.1207/s15326985ep3004_3
  2. Berlyne, D. (1957). Uncertainty and conflict: A point of contact between information theory and behavior theory concepts. Psychological Review, 64, 329-339 https://doi.org/10.1037/h0041135
  3. Berlyne, D. (1966). Notes on intrinsic motivation and intrinsic reward in relation to instruction. In J. Bruner (Ed.) , Learning about learning (Cooperative Research Monograph No. 15). Washington, D.C.: U.S. Department of Health, Education, and Welfare, Office of Education
  4. Boekaerts, M. (1997). Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and Instruction, 7, 161-186 https://doi.org/10.1016/S0959-4752(96)00015-1
  5. Brown, R., & Pressley, M. (1994). Self-regulated reading and getting meaning from text: The transactional strategies instruction model and its ongoing validation. In D. Schunk and B. Zimmerman (Eds.), Self-regulation of Iearning and performance (pp. 101-124). Hillsdale, NJ: Lawrence Erlbaurn Associates
  6. Bruner, J. (1961). The process of education. Cambridge, MA: Harvard University Press
  7. Chan, C., Burtis, J., & Bereiter, C. (1997). Knowledge building as a mediator of conflict in conceptual change. Cognition and Instruction, 15, 1-40 https://doi.org/10.1207/s1532690xci1501_1
  8. Chen, C. & Stevenson, H. (1989). Motivation and mathematics achievement: A comparative study of Asian-American, Caucasian-American, and East Asian high school students. Child development, 66. 1215-1234 https://doi.org/10.2307/1131808
  9. Chinn, C. A., & Brewer, W. F. (1998). An empirical test of a taxonomy of responses to anomalous data in science. Journal of Research in Science Teaching, 35, 623-654 https://doi.org/10.1002/(SICI)1098-2736(199808)35:6<623::AID-TEA3>3.0.CO;2-O
  10. Chinn, C. A., & Brewer, W. F. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. Review of Educational Research, 63, 1-49 https://doi.org/10.3102/00346543063001001
  11. Cho, Y., Kim, Y., & Kwon, J. (2004). Characteristics of explanatory hypothesis formation by anxiety types in high school students cognitive conflict about action-reaction task (I). Journal of the Korean Association for Research in Science Education, 24, 574-591
  12. Clark, R. B. (1986a). The answer in obvious, isn' t it? The Physics Teacher, 24, 38-39 https://doi.org/10.1119/1.2341931
  13. Clark, R. B. (1986b). Response. The Physics Teacher, 24, 393
  14. Cognitive Conflict Strategy Research Group (2003). Workshop: By using 'fancart', can you escape from the calm bet? Proceedings of 2003 Summer Conference of the Korean Association for Research in Science Education, 151-153
  15. Cognitive Conflict Strategy Research Group (2004). Workshop: The flying electric fan! Proceeding of 2004 Summer Conference of the Korean Association for Research in Science Education, 160-163
  16. Como, L. (1993). The best-laid plans: Modem conceptions of volition and educational research. Educational Researcher, 22, 14-22
  17. Como, L., & Kanfer, R. (1993). The role of volition in learning and performance. Review of Rerearch in Education, 19, 301-341
  18. Demastes, S., Good, R., & Peebles, P. (1996). Patterns of conceptual change in evolution. Journal of Research in Science Teaching, 33, 407-432 https://doi.org/10.1002/(SICI)1098-2736(199604)33:4<407::AID-TEA4>3.0.CO;2-W
  19. Dewitte, S., & Lens, W. (2000). Volition: use with measure. Learning and Individual Differences, 11, 321-333 https://doi.org/10.1016/S1041-6080(99)80006-5
  20. Druyan, S. (1997). Effect of the Kinesthetic Conflict on Promoting Scientific Reasoning. Journal of Research in Science Teaching, 34, 1083-1099 https://doi.org/10.1002/(SICI)1098-2736(199712)34:10<1083::AID-TEA7>3.0.CO;2-N
  21. Druyan, S. (2001). A comparison of four types of cognitive conflict and their effect on cognitive development. International Journal of Behavioral Development, 25, 226-236 https://doi.org/10.1080/01650250042000276
  22. Gagne, E. D., Yekovich, C. W., & Yekovich, F. R. (1993). The cognitive psychology of school learning. Addison-Wesley
  23. Garcia, T., McCann, E. J., Turner, J. E., & Raska, L. (1998). Modeling the mediating role of volition in the learning process. Contemporary Educational Psychology, 23, 392-418 https://doi.org/10.1006/ceps.1998.0982
  24. Georghiades, P. (2004). From the general to the situated: three decades of metacognition. International Journal of Science Education, 26, 365-383 https://doi.org/10.1080/0950069032000119401
  25. Graham, S., & Weiner, B. (1996). Theories and principles of motivation. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology (PP. 63-84), New York: Macmillan
  26. Hashweh, M. Z. (1986). Toward an explanation of conceptual change. European Journal of Science Education, 8, 229-249 https://doi.org/10.1080/0140528860080301
  27. Hewitt, P. (1997). Conceptual physics (third edition). Addition-Wesley Publishing Company, Inc
  28. Hewitt, P. (1988). Figuring physics. The Physics Teacher, 26, 57-58
  29. Hewitt, P. (2003). Conceptual physics (ninth edition). Addition-Wesley Publishing Company, Inc
  30. Hewson, P. W., & Hewson, M. G. A. (1984). The role of conceptual conflict in conceptual change and the design of science instruction. Instructional Science, 13, 1-13 https://doi.org/10.1007/BF00051837
  31. Husman, J., McCann, E., & Crowson, M. (2000). Volitional strategies and future time perspective: embracing the complexity of dynamic interactions. International Journal of Educational Research, 33, 777-799 https://doi.org/10.1016/S0883-0355(00)00050-1
  32. Jargodzki, C., & Potter, F. (2001). Mad about physics: braintvvisters, paradoxes, and curiosities. New York: John Willey
  33. Johnson, D. W. (1970). Social psychology of education. New York: Holt
  34. Johoson, D.W., & Johoson, R.T. (1995). Creative controversy: Intellectual challenge in the classroom. Minnesota : Interaction Book company
  35. Johnson, D.W., Johnson, R.T., & Tjosvold, D. (2000) Constructive controversy : The value of intellectual opposition, In M. Deutsch & P.T. Colemen (Ed.). The Hanbook of Conflict Resolution. San Francisco : Jossey-Bass Publishers
  36. Kang, S., Scharmann, L.C., & Noh, T. (2004). Reexamining the Role of Cognitive Conflict in Science Learning. Research in Science Education, 34, 71-96 https://doi.org/10.1023/B:RISE.0000021001.77568.b3
  37. Kim, Y. (2002). Characteristics of Students' Conceptual Change in Physics by Anxiety Types in Cognitive Conflict and Motivation Psychological Factors of Attributions. Unpublished doctoral dissertation, Korea National Universtiy of Education
  38. Kim, Y., & Bao, L. (2004a). Development of an instrument for evaluating anxiety caused by cognitive conflict. The Program of Physics Education Research Conference 2004, 18
  39. Kim, Y., & Bao, L. (2004b). Student anxiety types in cognitive conflict situations and conceptual change. The Announcer of American Association of Physics Teacher Summer 2004, 34, 133
  40. Kim, Y., Choi, W., Moon, S., & Choi, H. (2001). Action and Reaction with a Fan and a Cart. The Program and Abstracts of 2001 International Conference on Physics Education in Cultural Context, CheongJu
  41. Kuhl, J. (1985). Volitional mediators of cognition-behavior consistency: Self-regulator processes and action versus state orientation. In J. Kuhl and J. Beckman (Eds.). J, Action control: From cognition to behavior (pp. 101-128). New York: Springer-Verlag
  42. Kwon, J. (1997). The necessity of cognitive conflict strategy in science teaching. Proceeding of the International Conference on Science Education: Globalization of Science Education. Seoul, Korea
  43. Kwon, J. (1989). A cognitive model of conceptual change in science learning. Physics Teaching, 7, 1-9. Korean Physics Society
  44. Kwon, N. (2000). The influences of learners' characteristics on scientific conceptual changes by cognitive conflict in Korean middle schools. Unpublished doctoral dissertation, Korea National University of Education
  45. Kwon, J. , Park, H., Kim, J. , Lee, Y., & Lee, G. (2000). The analysis of the relationship between cognitive conflict characteristics (levels and patterns) and response patterns of students confronted with anomalous situation in learning science. Research Report on Subject Education RR98- VI -11, Ministry of Education in Korea (written in Korean)
  46. Kwon, J. , Lee, G., & Kim, Y. (2003). The necessary condition and the sufficient condition of cognitive conflict for conceptual change. Journal of the Korean Association for Research in Science Education , 23, 574-591
  47. Lee, G. (2000). The effects of cognitive conflict, learnig motivation and learning strategy on high school students' conceptual changes in physics. Unpublished doctoral dissertation. Korea National University of Education
  48. Lee, G., & Kwon, J. (2003). Toward an understanding and use of cognitive conflict in science instruction(I). Journal of the Korean Association for Research in Science Education, 23, 360-374
  49. Lee, G., Kwon, J., Park, S., Kim, J., Kwon, H., & Park, H. (2003). Development of an instrument for measuring cognitive conflict in secondary-level science class. Journal of Research in Seience Teaching, 40, 585-603 https://doi.org/10.1002/tea.10099
  50. Lee, Y. (1993). The study of the attributional style to success and failure. Educational Research, 9, Kongju University
  51. Lee, Y. & Kwon. J. (2002). The effects of cognitive conflict on sutdents' conceptual change in physics. Journal of the Korean Association for Research in Science Education, 22, 923-943
  52. Limon, M. (2001). On the cognitive conflict as an instrcuional strategy for conceptual change: a critical apperisal. Learning and Instrction, 11, 357-380 https://doi.org/10.1016/S0959-4752(00)00037-2
  53. Martinez, K., Schulkins, M. (1986). The H.M.S. Newton III: an onboard-fan-powered sail cart. The Physics Teacher, 24, 393
  54. Mathison, S. (1988). Why triangulate? Educational Researcher, 17, 13-17
  55. Mason, L. (2001) Responese to anomalous data on controversial topics and theory change. Learning and Instruction, 11, 453-483 https://doi.org/10.1016/S0959-4752(00)00042-6
  56. McCombs, B. L., & Marzano, R. J. (1990). Putting the self in self-regulated learning: The self as agent in integrating skill and will. Educational Psychologist, 25, 51-70 https://doi.org/10.1207/s15326985ep2501_5
  57. McCann, E. J., & Garcia, T. (2000). Maintaining motivation and regulating emotion: Measuring individual differences in academic volitional strategies. Le arning and Individual Differences, 11, 259-279
  58. Murphy, P. K., & Alexander, P. A. (2000). A motivated exploration of motivation terminology. Contemporary Educational Psychology, 25, 3-53 https://doi.org/10.1006/ceps.1999.1019
  59. Niaz, M. (1995). Cognitive conflict as a teaching strategy in solving chemistry problems: A dialectic-constructivist perspective. Journal of Research in Science Teaching, 32, 959-970 https://doi.org/10.1002/tea.3660320907
  60. Osborne, R. J., & Freyberg, P. (1985). Learning in science: The implication of children' s science. Auckland, NZ: Heinemann
  61. Park, J., Kim, I., Kim, M., & Lee, M. (2001). Analysis of the students' processes of confirmation and falsification of their prior ideas about electrostatics. In ternational Journal of Science Education, 23, 1219-1236 https://doi.org/10.1080/09500690110049097
  62. Piaget, J. (1950). The psychology of intelligence. New York: Harcourt
  63. Pintrich, P. R. (1999). Motivational beliefs as resources for and constraints on Conceptual change. In W. Schnotz, S. Vosniado, and M. Carretero (Eds.), New perspectives on conceptual change (pp. 33-50). Oxford: Pergamon
  64. Pintrich, P. R. (2002). The role of metacognitive knowledge in learning, teaching, and assessing. Theory into Practice, 41, 219-225 https://doi.org/10.1207/s15430421tip4104_3
  65. 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, 167-200 https://doi.org/10.3102/00346543063002167
  66. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82. 33-40 https://doi.org/10.1037/0022-0663.82.1.33
  67. Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications. Englewood Cliffs, NJ: Merrill Prentice Hall
  68. Pintrich, P. R., & Sinatra, G. M. (2003). Future directions for theory and research on intentional conceptual change. In G. M. Sinatra & P. R. Pintrich (Eds,), Intentional conceptual change (pp. 429-441). Lawrence Erlbaum Associates, Inc
  69. Posner, G. J., Strike, K. A., Hewson, P. W., & Gertzog, W. A. (1982). Accommodation of a scientific conception: Toward a theoη of conceptual change. Science Education, 66, 221-227
  70. Rotter, J. (1966). Generalized expectancies for internal versus external control of reinforcement, Psychological Monographs, 1 (whole 609)
  71. Rutledge, C.T. (1986) The obvious answer is correct! The Physics Teacher, 24, 393
  72. Schunk, D. & Zimmerman, B. (1998). Self-regulated learning' From teaching to self-reflective practice. Guilford
  73. Sherman, R.R., & Webb, R.B. (1988) Qualitative research in education: focus and methods. The Falmer Press
  74. Sinatra, G.M., & Pintrich, P.R. (2003). Intentional conceptual change. Mahwah, NJ:Erlbaum
  75. Snow, R.E., Corno, L., & Jackson, D. (1996). Indicidual differences in affective and conative functions. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology (pp. 243-310). New York:MAcmillan
  76. Stipek, D. J. (2002). Motivation to learn: Integating theory and practice (4th ed.). Boston: Allyn and Bacon
  77. Strike, K. A., & Posner, G. J. (1992). A revisionist theory of conceptual change. In R. A. Duschl & R. J. Hamilton (Eds,), Philosophy of science, cognitive psychology, and educational theory and practice (pp. 147-176). New York: State University of New York Press
  78. Tao, P., & Gunstone, R. (1999). The process of conceptual change in force and motion during computer-supported physics ins$\sigma$uction. Journal of Research in Science Teaching, 36, 859-882 https://doi.org/10.1002/(SICI)1098-2736(199909)36:7<859::AID-TEA7>3.0.CO;2-J
  79. Valle, A., Cabanach, R. G., Nunez, J. C., Gonza.lez-Pienda, J., Rodriguez , S., & Pmeiro, L. (2003). Cognitive , motivational, and volitional dimensions of learning: an empirical test of a hypothetical model. Research in Higher Education, 44, 557-580 https://doi.org/10.1023/A:1025443325499
  80. Vosniadou, S. (1994). Capturing and modeling the process of conceptual change. Learning and Instruction, 4, 45-70 https://doi.org/10.1016/0959-4752(94)90018-3
  81. Vosniadou , S. (1999). Conceptual change research: Sate of the art and future directions. In W. Schnotz , S. Vosniado, and M. Carretero (Eds.), New perspectives on conceptual change (pp. 3-13). Oxford: Pergamon
  82. Vosniadou, S., Ioannides, C., Dimitrakopoulou, A., & Papademetriou, E. (2001). Designing learning environments to promote conceptual change in science. Learning and Instruction, 11, 381-419 https://doi.org/10.1016/S0959-4752(00)00038-4
  83. Weiner, B. (1980). The role of affect in rational (attributional) approaches to human motivation, Educational Researcher, 9, 4-11
  84. Weiner, B. (1994). Integrating social and personal theories of achievement striving. Review of Educational Research , 64, 557-573 https://doi.org/10.3102/00346543064004557
  85. Weinert , F. E., Schrader, F. W., & Helmke, A. (1989). Quality of instruction and achievement outcomes. International Journal of Educational Psychology, 13, 895-912
  86. Wallingford (1986). Obvious?? The Physics Teacher, 24, 392
  87. Woolfolk, A. (2004). Educational Psychology (nine edition). Allyn and Bacon