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Exploring the Effect of Cognitive Presence on Flow According to the Level of Interest

흥미수준에 따른 인지적 실재감이 몰입에 미치는 영향 탐색

  • Received : 2022.11.26
  • Accepted : 2022.12.29
  • Published : 2022.12.30

Abstract

The purpose of this study is to explore the effect of cognitive Presence on Flow according to the level of interest among the most important factors that have an effect on academic achievement. This study targeted 162 people who took the teaching course of B University. For the study, data were collected through a survey on the level of interest, cognitive Presence, and Flow. In order to verify how cognitive presence affects flow according to the level of interest, multiple regression analysis was performed by dividing the collected data into low and high groups based on the average of the level of interest. As a result, the level of learning management of cognitive presence was .071 in the high level of interest, and the level of learning management was .143 in the low group of interest level. As a result of this, the effect of the level of learning management of cognitive presence on flow according to the level of interest was confirmed. Through the results of this study, a instructional design strategy that can be flow was suggested through supporting cognitive presence according to the level of interest.

연구 목적 : 본 연구의 목적은 학업성취에 가장 중요한 영향을 미치는 요인 중에서 흥미수준에 따라서 인지적 실재감이 몰입에 미치는 영향을 탐색하기 위한 것이다. 연구 내용 및 방법 : 본 연구는 B대학의 사범학부에서 교직교과목을 수강한 162명을 대상으로 했다. 연구를 위해 흥미수준, 인지적 실재감, 몰입을 설문을 통해 자료를 수집했다. 수집된 자료는 흥미 수준에 따라 인지적 실재감이 몰입에 어떠한 영향을 주는지 검증하기 위해, 흥미 수준의 평균을 기준으로 저집단과 고집단으로 구분하여 다중 회귀 분석을 수행하였다. 그 결과 흥미수준 고집단에서 인지적 실재감의 하위요인 학습 관리 정도가 .071이며, 흥미수준 저집단에서 인지적 실재감의 하위요인 학습 관리 정도가 .143 수준으로 정적인 영향이 있었다. 결론 및 제언 : 이와 같은 결과로, 흥미수준에 따라서 인지적 실재감의 학습 관리 정도가 몰입에 미치는 영향이 확인되었다. 본 연구 결과를 통해 몰입에 있어서 인지적 실재감 지원을 통해 흥미수준을 향상할 수 있는 수업설계 전략을 제언하였다.

Keywords

References

  1. Kang, M., Gu, H., Kim, J., Moos, S. & Jung. J. (2007). Examining the Effects of Tutor Delivery Modes on Cognitive Presence and Learning Outcomes in Online Lectures. Journal of Korean Association for Educational Information and Media, 13(4), 155-181.
  2. Kang, M., Kim, S. & Jeong, J. (2008). Identifying Predicting Variables of the Learning Outcome in Web-Based PBL. Journal of Lifelong Learning Society, 39(1), 107-134.
  3. Kang, Y. H., Jo, B. H. & Im, G. H. (2003). A Study for Standardization of Learning Interest Inventory. Korean Journal of Educational Psychology, 17(4), 1-37.
  4. Kim, K-S. (2013). Analysis of mediating effects of learning flow in relations of adolescents' learning motive, academic self-efficacy and self-directed learning. Doctoral Thesis, Seoul Venture University, Seoul Korea.
  5. Kim, A. Y., Lee, C. H. & Choi, K. Y. (2008). Development and Validation of a Teaching Flow Scale. Korean Journal of Educational Psychology, 22(4), 647-670.
  6. Kim, A. Y., Tack, H. Y. & Lee, C. H. (2010). The Development and Validation of a Learning Flow Scale for Adults. Korean Journal of Educational Psychology, 24(1), 39-59.
  7. KIM, J. (2008). The structural relationship between presence and the effectiveness of e-Learning in the corporate setting. Doctoral Thesis, The Graduate School of Ewha Womans University, Seoul Korea.
  8. KIM, J. & Kang, M. (2010). Structural Relationship among Teaching Presence, Learning Presence, and Effectiveness of e-Learning in the corporate setting. Asian Journal of Education, 11(2), 29-56. https://doi.org/10.15753/aje.2010.11.2.002
  9. Kim, H. H. & Song, I-S. (2013). Analysis of the structural relationship of the internal and external factors affecting the learning flow of middle and high school students. Korean Journal of Educational Psychology, 27(2), 409-429.
  10. Kwon, S. K., & Yoon. S. (2021). A Study on the Educational Performance Analysis of Classical Education Based on Academic Interest Level. Korean Journal of General Education, 15(3), 83-95. https://doi.org/10.46392/kjge.2021.15.3.83
  11. Nam, S. W., Lee, E. C. & Lee, S. A. (2018). Developing a interest level scale of the church education program for measuring the effectiveness of church education activities. Journal of Christian Education in Korea, 54, 243-275.
  12. Park, K. S. & Oh, I. (2016). The Effect of Self-determination Motivation and Self-efficacy on Student Engagement: Focusing on the Mediating Effect of English Subjects Interest. Journal of Research in Curriculum Instruction, 20(4), 295-305. https://doi.org/10.24231/rici.2016.20.4.295
  13. Park, S. K. & Kim, Y. K. (2006). An Inquiry on the Relationships among Learning-Flow Factors, Flow Level, Achievement under On-line Learning Environment. The Journal of Yeolin Education, 14(1), 93-115.
  14. Park, J. R. & Han, S. H. (2013). The Effect of Goal Orientation, Motivation and Self-Concept on Learning Flow in Adult Learners. Journal of Educational Studies, 34(1), 151-178.
  15. Baek, S. H. (2019). The Investigation of Influential Variables on Institutional Commitment of Christian University Students. faith & scholarship, 24(2), 159-188 https://doi.org/10.30806/fs.24.2.201907.159
  16. Yoon, M-S. (2003). Styles on Academic Achievement with the Mediators of Academic Motivation and Subject-specific interests. Doctoral Thesis, The Graduate School of Korea University, Seoul Korea.
  17. Yoon, M. S. & Kim, S-i. A Study on Constructs of subject-specific interests and Its Relationship with Academic Achievement. Korean Journal of Educational Psychology, 17(3), 271-290.
  18. Cho, H-S. (2012). Effects of Subject Interest of Physical Education on Class Flow of Middle and High School Students. The Korean Journal of Physical Education, 51(1), 179-191.
  19. Joo, Y. J., Kim, Y. K. & Park, S. Y. (2009). The Structural Relationship among Cognitive Presence, Flow and Learning Outcome in Corporate Cyber Education. Journal of Korean Association for Educational Information and Media, 15(3), 21-38.
  20. Ha, Y-J. & Ha, J. H. (2011). The Mediating Effect of Learning Flow among Learning Motivation and Learning Satisfaction, Achievement on a base of e-learning environment. 17(2), 197-217.
  21. Cikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper & Row.
  22. Csikszentmihalyi, M. (1975). Beyond boredom and anxiety, San Francisco: Jossy Bass.
  23. Csikszentmihalyi, M. (1990). Flow : the psychology of optimal experience. New York: HarperCollins Publishers.
  24. Deci, E. L. (1975). Intrinsic motivation. New York: Plenum Press.
  25. Garrison, D. R. (2007). Online community of inquiry review: Social, cognitive, and teaching presence issues. Journal of Asynchronous Learning Networks, 11(1), 61-72.
  26. Garrison, D. R., & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. The Internet and Higher Education, 10(3), 157-172. https://doi.org/10.1016/j.iheduc.2007.04.001
  27. Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical thinking and computer conferencing: A model and tool to assess cognitive presence. American Journal of Distance Education, 15(1), 7-23. https://doi.org/10.1080/08923640109527071
  28. Gunderson, J. (2003). Csikszentmihalyi's state of flow and effective teaching. Unpublished doctoral dissertation, Claremont Graduate University.
  29. Hidi, S. (1990). Interest and its contribution as mental resource for learning. Review of Educational Research, 60(4), 549-571. https://doi.org/10.3102/00346543060004549
  30. Milner, A. R. Templin, M. A., & Czerniak, C. M. (2011). Elementary Science Students' Motivation and Learning Strategy Use: Constructivist Classroom Contextual Factors in a Life Science Laboratory and a Traditional Classroom. Journal of Science Teacher Education, 22, 151-170. https://doi.org/10.1007/s10972-010-9200-5
  31. Newman, D. R., Webb, B., & Cochrance, C. (1997). Evaluating the quality of learning in computer supported co-operative learning. Journal of the American Society for Information Science, 48(6), 484-495. https://doi.org/10.1002/(SICI)1097-4571(199706)48:6<484::AID-ASI2>3.0.CO;2-Q