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Attitude as Predictor of Success in Online Training

, University of Texas at Arlington, United States

International Journal on E-Learning Volume 5, Number 4, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA


This is the second article in a series of articles published with findings on student perceptions of asynchronous web-based courses (Pérez Cereijo, Young, & Wilhelm, 2001). This portion of the study examines the independent relationships between various student characteristics and student’s perceived advantages and disadvantages of the asynchronous web delivery of the course and seeks to find a predictor that will help determine students most likely to enjoy taking asynchronous courses online. In the asynchronous web delivery format of this course, students had access to the class’s lecture videos and textual course materials stored in the school’s server, at any time and from anywhere. The data presented in this study provides supporting evidence, which reaffirms universities’ commitment to offering online courses to meet students’ needs. The study also points to attitude, work schedule, and distance from school as possible predictors of student success in this environment.


Pérez Cereijo, M.V. (2006). Attitude as Predictor of Success in Online Training. International Journal on E-Learning, 5(4), 623-639. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved February 16, 2019 from .


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  1. Armstrong-Stassen, M., Landstrom, M., & Lumpkin, R. (1998, April/June). Students’ reaction to the introduction of videoconferencing. Information Society 14, 153-164.
  2. Augstums, I.M. (2004, April 16). Americans are connecting with wireless internet access. The Salt Lake Tribune.
  3. Bates, A.W. (1995). Technology, open learning and distance education. London: Routledge. Beyth-Marom, R., Chajut, E., Roccas, S., & Sagiv, L. (2003). Internet-assisted versus traditional distance learning environments: Factors affecting students’ preferences. Computers & Education, 41(1), 65-76.
  4. Brawner, C.E. (1997). North Carolina State: Fujitsu network based education project course evaluation report. Posted to Retrieved May 10, 2006 from
  5. Carswell, L., Thomas, P., Petre, M., Price, B., & Richards, M. (2000). Distance education via the internet: The student experience. British Journal of Educational Technology, 31(1), 29-46. Christensen, R. (1997). Effect of technology integration education on the attitudes of teachers and their students. Unpublished doctoral dissertation, University of North Texas, Denton, TX. Retrieved May 8, 2006, from
  6. DeVellis, R.F. (1991). Scale development. Newbury Park, NJ: Sage.
  7. Dunn, S., & Ridgway, J. (1991). Naked into the world: IT teaching experiences on a final primary school teaching practice – a second survey. Journal of Computer Assisted Learning, 7(4), 229-240.
  8. Elvers, G.C., Polzella, D.J., & Graetz, K (2003). Procrastination in online courses: Performance and attitudinal differences. Teaching of Psychology, 30(2), 159-162.
  9. Goldberg, M.W. (1997, February/March). CALOS: First results from an experiment in computeraided learning for operating systems. In C.M. White, C. Erickson, B. Klein, & J.E. Miller (Eds.), Proceedings of the ACM’s 28th SIGCSE Technical Symposium on Computer Science Education, (pp. 48-52), San Jose, CA. New York: ACM ISBN 0-89791-889-4
  10. Gubernick, L., & Ebeling, A. (1997, June 16). I got my degree through e-mail. Forbes, (pp. 8492). Retrieved May 8, 2006, from Harasim, L.
  11. Katz, Y.J. (1993). Achievement level, affective attributes and computer oriented attitudes: A profile of a successful end-user. In A. Knierzinger & M.Moser (Eds.), Informatics and changes in learning (Section VII, pp. 13-15). Linz, Austria: IST Press.
  12. Katz, Y.J. (1995). Some cognitive and social correlates of computer assisted instruction and learning in the Israeli elementary school. In Y.J. Katz (Ed.), Computers in education: Pedagogical and psychological implications (pp. 75-84). Sofia, Bulgaria: IFIP and Bulgarian Academy of Sciences.
  13. Katz, Y.J. (2002). Attitude affecting college students’ preferences for distance learning. Journal of Computer Assisted Learning, 18, 2-9.
  14. Katz, Y.J., & Offir, B. (1990). Computer assisted instruction and students’ social orientations. In I. Borovitz, A. Pnueli & N. Prywes (Eds.), Proceedings of 5th Jerusalem Conference on Information Technology (pp. 660-664). Los Alamitos, CA: IEEE Computer Society Press.
  15. Kerka, S. (1996). Distance learning, the internet, and the world wide web. ERIC Digest. (ED395214).
  16. Kuramoto, A. (1984). Teleconferencing for nurses: Evaluating its effectiveness. In L. Parker & C. Olgren (Eds.), Teleconferencing and electronic communications. Madison, WI: University of Wisconsin Extension, Center for Interactive Programs. Marsh, J.
  17. McCollum, K. (1997). A professor divides his class in two to test value of online instruction. Chronicle of Higher Education, 43, 23.
  18. Mood, T.A. (1995). Distance education: An annotated bibliography. Englewood, CO: Libraries Unlimited.
  19. Moore, M.G., & Thompson, M.M. (1990). The effects of distance learning: A summary of the literature. University Park, PA: Pennsylvania State University.
  20. Nunnally, J.C. (1978). Psychometric theory. New York: McGraw-Hill.
  21. Pérez Cereijo, M.V., Young, J., & Wilhelm, R. (2001). Factors facilitating student participation in web courses. Journal of Computing in Teacher Education, 18(1), 32-39.
  22. Ponzurick, T. G., Russo France, K., & Logar, C.M. (2000, December). Delivering marketing graduate education: An analysis of face-to-face versus distance education. Journal of Marketing Education, 22, 180-187.
  23. Porter, L.R. (1997). Creating the virtual classroom-distance learning with the internet. New York: John Wiley & Sons.
  24. Rintala, J. (1998) Computer technology in higher education: An experiment, not a solution. Quest, 50(4), 366-378.
  25. Sankaran, S. R., & Bui, T. (2001). Impact of learning strategies and motivation on performance: A study in web-based instruction. Journal of Instructional Psychology, 28(3), 191-199. Schamber, L. (1988). Delivery systems for distance education. ERIC Digest. (ED304111) Schuemer, R. (1993). Some psychological aspects of distance education. (ERIC Document Reproduction Service No. ED157266)
  26. Sechrest, J. (1998, April 20). The internet is an educational medium (But where is the proof?) Posted to WWW courseware development Retrieved May 12, 2006, from
  27. Shulman, A.A., & Sims, R.I. (1999). Learning in an online format versus an in-class format: An experimental study. T.H.E. Journal, 26, 54-56.
  28. Sistek-Chandler, C. (2000). Webifying courses: Online education platforms. Converge, 34-38. Souder, W.E. (1993). The effectiveness of traditional versus satellite delivery in three management of technology master’s degree programs. The American Journal of Distance Education, 7(1), 37-53.
  29. St. Pierre, P. (1998) Distance learning in physical education teacher education. Quest, 50(4), 344-356.
  30. Sujo di Mones, L.E., & Gonzales, C.L. (2000). More than having a connection: Qualitative factors that affect learning in a web-based university course. Paper presented at the 11th International Conference of the Society for Information Technology and Teacher Education, San Diego, CA.
  31. Tello, S. (2004). Instructional interaction: Key to student persistence? Distance Education Report, 8(12), 11, 3.
  32. Valore, L., & Diehl, G.E. (1987). The effectiveness and acceptance of home study. Washington, DC: National Home Study Council.
  33. Vasarhelyi, M., & Graham, L. (1997, August). Cybersmart: Education and the internet. Management Accounting, 32-36.
  34. Warner, A.C. (2001). An urban university’s approach to anywhere, anytime learning. Metropolitan Universities, 12(1), 28-34.
  35. Wilson, T.P. & Hord, N. (2000). Internet-based education: Information on resources from the Michigan State University experience. Topics in Clinical Nutrition, 15(3), 35-43. Wonacott, M.E. (2001). Implications of distance education for CTE (Career and Technical Education). ERIC Digest No. 227 (ED452368) Retrieved May 8, 2006, from

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  3. Learning Attributes Essential for Online Success: An Instrument for Assessing and Supporting Students

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