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A Case Study of Learner Interaction in Web-based Learning
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, Jackson State University, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Las Vegas, NV, USA ISBN 978-1-939797-05-6 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

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Abstract

The paper was intended to investigate student interaction in a web-based course delivered through a learning management system. The interactions included learner-learner interaction, learner-instructor interaction, and learner-content interaction. The participants were online students from a university in the southeast US. They were enrolled into a one-semester online course in research. The data was collected at the end of the class. Quantitative analyses were performed to examine learner interaction with the instructor, classmates, and online content. The relationships between three types of interaction and student satisfaction were investigated.

Citation

Kuo, Y.C. (2013). A Case Study of Learner Interaction in Web-based Learning. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2013--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 363-369). Las Vegas, NV, USA: Association for the Advancement of Computing in Education (AACE). Retrieved July 7, 2022 from .

© 2013 Association for the Advancement of Computing in Education (AACE)

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References

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  1. Allen, M., Bourhis, J., Burrell, N., & Mabry, E. (2002). Comparing student satisfaction with distance education to traditional classrooms in higher education: A metaanalysis. The American Journal of Distance Education, 16(2), 83-97.
  2. Allen, I.E., & Seaman, J. (2008). Staying the course: Online education in the United States, 2008. Retrieved April 24, 2009 from http://www.sloan-C.org/publications/survey/pdf/staying_the_course.pdf Anderson, T. (2003). Modes of interaction in distance education: Recent developments and research questions. In M.G. Moore& W.G. Anderson (Eds.), Handbook of distance education (pp. 129-144). Mahwah, NJ: Erlbaum.
  3. Biner, P.M., Bink, M.L., Huffman, M.L., & Dean, R.S. (1997). The impact of remote-site group size on student satisfaction and relative performance in interactive telecourses. The American Journal of Distance Education, 11(1), 23-33.
  4. Bray, E., Aoki, K., & Dlugosh, L. (2008). Predictors of learning satisfaction in Japanese online distance learners. International Review of Research in Open& Distance Learning, 9(3), 1-24.
  5. Brown, B.W., & Liedholm, C.E. (2002). Can web Courses replace the classroom in principles of microeconomics? American Economics Review, 92(2), 444-448.
  6. Chejlyk, S. (2006). The effects of online course format and three components of student perceived interactions on overall course satisfaction. Dissertation Abstracts International, 67(04). (UMI No. 3213421).
  7. Eastin, M.S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Retrieved January 14, 2009 from http://jcmc.indiana.edu/vol6/issue1/eastin.html
  8. Garrison, D.R., & Shale, D. (1990). A new framework and perspective. In D.R. Garrison& D. Shale (Eds.), Education at a distance: From issues to practice (pp. 123-133). Malabar, FL: Kreiger.
  9. Graham, R., & Smith, D.T. (2012). An empirical examination of technology use and Internet activity among African-Americans. Information, Communication& Society, 13(6), 892-908.
  10. Johnson, S.D., Aragon, S.R., Shaik, N., & Palma-Rivas, N. (2000). Comparative analysis of learner satisfaction and learning outomes in online and face-toface learning environments. Journal of Interactive Learning Research, 11(1), 29-49.
  11. Keeler, L.C. (2006). Student satisfaction and types of interaction in distance education courses. Dissertation Abstracts International, 67(09). (UMI No. 3233345).
  12. Keller, J.M. (1983). Motivational design of instruction. In C. Reigeluth (Ed.), Instructional design theories and models: An overview of their current status (pp. 386-434). Hillsdale, NJ: Erlbaum.
  13. Kuo, Y.C. (2010). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in distance education courses. Available from ProWuest Dissertations and Theses database. (UMI No. 3419203). E-Learn 2013-368 DASHDASH
  14. Kuo, Y.C., Walker, A., Belland, B.R., & Schroder, K.E.E. (2013). A predictive study of student satisfaction in online education programs. The International Review of Research in Open and Distance Learning, 14 (1), 1639.
  15. Moore, M.G. (1989). Three types of interactions. The American Journal of Distance Education, 3(2), 1-6.
  16. Moore, M.G., & Kearsley, G. (1996). Distance education: A systems view. New York, NY: Wadsworth.
  17. Parsad, B., & Lewis, L. (2008). Distance education at degree-granting postsecondary institutions: 2006-07. Retrieved January 16, 2009 from http://nces.ed.gov/pubs2009/2009044.pdf Pike, G.R. (1993). The relationship between perceived learning and satisfaction with college: An alternative view. Research in Higher Education, 34(1), 23-40.
  18. Rodriguez Robles, F.M. (2006). Learner characteristic, interaction and support service variables as predictors of satisfaction in Web-based distance education. Dissertation Abstracts International, 67(07). (UMI No. 3224964). E-Learn 2013-369 DASHDASH

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