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Asia Pacific Education Review

, Volume 6, Issue 1, pp 50–58 | Cite as

Optimal flow experience in web-based instruction

  • Ilju RhaEmail author
  • Michael D. Williams
  • Gyun Heo
Articles And Reports

Abstract

The purpose of this study is to explore learner engagement and motivation related toFlow particularly in WBI settings. In theFlow state people are absorbed in their activities while irrelevant thoughts and perceptions are screened out. In this article, we attempted to identify some of the critical elements of learner feelings and WBI features which relate to the experience ofFlow. Survey data were collected from 266 Korean cyber-university students and the data were subject to factor analyses and multiple regression to determine the best predictors ofFlow in WBI environments. As a result, six factors, including G-factor for flow, were found. Based on these findings, a theoretical model for Learner Flow within WBI was proposed

Key Words

Flow experience WBI flow WBI feelings 

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References

  1. Chen, H., Wigand, R.T., & Nilan, M. (1998). Optimal flow experience in Web navigation. In Effective utilization and management of emerging information technologies (pp. 633–636).The 9th Information Resources Management Association International Conference, 17-19 May, Boston, MA. Hershey, PA: Idea Group Publishing.Google Scholar
  2. Chen, H., Wigand, R.T., & Nilan, M. (1999). Optimal experience of Web activities.Computers in Human Behavior, 15(5), 585–608.CrossRefGoogle Scholar
  3. Csikszentmihalyi, M. (1975a).Beyond boredom and anxiety. San Francisco, CA: Jossey-Bass.Google Scholar
  4. Csikszentmihalyi, M. (1975b). Play and intrinsic rewards.Journal of Humanistic Psychology, 15(3), 41–63.CrossRefGoogle Scholar
  5. Csikszentmihalyi, M. (1982). Towards a psychology of optimal experience. In L. Wheeler,Annual review of personality and social psychology (Vol. 3, pp. 13–36). Beverly Hills, CA: Sage.Google Scholar
  6. Csikszentmihalyi, M. (1988). The flow experience and its significance for human psychology. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.),Optimal experience: Psychological Studies of flow in Consciousness (pp. 15–35). New York: Cambridge University Press.Google Scholar
  7. Csikszentmihalyi, M. (1990).Flow: the psychology of optimal experience. New York: Harper and Row.Google Scholar
  8. Csikszentmihalyi, M. (1996, September). Go with the flow.Wired. Retrieved 7 April 2004 from http://www. wired.com/wired/archive/4.09/czik.htmlGoogle Scholar
  9. Ghani, J., & Deshpande, M. (1994). Task characteristics and the experience of optimal flow in human-computer interaction.The Journal of Psychology, 128(4), 381–391.Google Scholar
  10. Graphic, Visualization, and Usability Center (1998).10th WWW User Survey. GVU Center, College of Computing, Georgia Institute of Technology, Atlanta, GA. Retrieved 7 April 2004 from http://www.gvu.gatech.edu/ user_surveys/survey-1998-10/Google Scholar
  11. Hektner, J.M., & Csikszentmihalyi, M. (1996, April).A Longitudinal Exploration of Flow and Intrinsic Motivation in Adolescents. Paper presented at the annual meetings of the American Educational Research Association, New York, NY. (ERIC Document Reproduction Service No. ED 395 261)Google Scholar
  12. Hoffman, D.L., & Novak, T.P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations.Journal of Marketing, 60(3), 50–68.CrossRefGoogle Scholar
  13. Hunter, J.P., & Csikszentmihalyi, M. (2003). The positive psychology of interested adolescents.Journal of Youth and Adolescence, 32(1), 27–35.CrossRefGoogle Scholar
  14. Jones, M.G. (1998, February).Creating Electronic Learning Environments: Games, Flow, and the User Interface. Paper presented at the annual meetings of the Association for Educational Communications and Technology, St. Louis, MO. (ERIC Document Reproduction Service No. ED 423 842)Google Scholar
  15. Massimini, F., & Carli, M. (1988). The systematic assessment of flow in daily experience. In M. Csikszentmihalyi & I. Csikszentmihalyi (Eds.),Optimal Experience: Psychological studies of flow in consciousness (pp. 266–287). New York: Cambridge University Press.Google Scholar
  16. Moneta, G.B., & Csikszentmhalyi, M. (1996). The effect of perceived challenges and skills on the quality of subjective experience.Journal of Personality, 85(3), 424–436.Google Scholar
  17. Normal, D. (1996). Optimal flow.Arts Education Policy Review, 97(4), 35–38.Google Scholar
  18. Novak, T.P., & Hoffman, D.L. (1997). Measuring the Flow Experience Among Web Users,Working paper. Vanderbilt University. Retrieved 7 April 2004 from http://elab.vanderbilt.edu/research/papers/pdf/manuscript s/Flow-MeasuringFlowExpJul1997-pdf.pdfGoogle Scholar
  19. Novak, T.P., Hoffman, D.L., & Duhachek, A. (2003). The influence of goal-directed and experiential activities on online flow experiences.Journal of Consumer Psychology, 13(1 & 2), 3–16.CrossRefGoogle Scholar
  20. Novak, T.P., Hoffman, D.L., & Yung, Y.F. (2000). Measuring the customer experience in online environments: A structural modeling approach.Marketing Science, 19(1), 22–44.CrossRefGoogle Scholar
  21. Privette, G., & Bundrick, C.M. (1987). Measurement of Experience: Construct and Content Validity of the Experience Questionnaire.Perceptual and Motor Skills, 65(1), 315–332.Google Scholar
  22. Rha, I. & Hoe, G. (2003). Optimal experience in WBI.The journal of Korean Association of Computer Education, 6(2), 71–79.Google Scholar
  23. Rotto, L.I. (1994, February).Curiosity, Motivation, and “Flow” in Computer-Based Instruction. Paper presented at the annual meetings of the Association for Educational Communications and Technology, Nashville, TN. (ERIC Document Reproduction Service No. ED 373 755)Google Scholar
  24. Shernoff, D.J., Csikszentmihalyi, M., Schneider, B., & Shernoff, E.S. (2003). Student engagement in high school classrooms from the perspective of flow theory.School Psychology Quarterly, 18(2), 158–176.CrossRefGoogle Scholar
  25. Trevino, L.K., & Webster, J. (1992). Flow in Computer- Mediated Communication.Communication Research, 19(5), 539–573.CrossRefGoogle Scholar
  26. Webster, J., Trevino, L.K., & Ryan, L. (1993). The dimensionality and correlates of flow in human computer interactions.Computers in Human Behavior, 9(4), 411–426.CrossRefGoogle Scholar

Copyright information

© Education Research Institute 2005

Authors and Affiliations

  1. 1.Department of EducationCollege of Education in Seoul National UniversitySeoulSouth Korea
  2. 2.National Institute of EducationSingapore

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