Role of Distance Learning Self-Efficacy in Predicting User Intention to Use and Performance of Distance Learning System

학습자의 원격교육시스템 이용 의도와 성과에 대한 원격교육 자기효능감의 역할

  • 유일 (순천대학교 경영통상학부) ;
  • 황준하 (조선대학교 경영학과)
  • Published : 2002.09.30

Abstract

This paper examines the role of distance learning self-efficacy, belief in one's capabilities of using a system in the accomplishment of web-based distance learning, in predicting user intention to use and performance of distance learning system. It used self-efficacy theory and technology acceptance model(TAM) to build a model that predicts relationships between antecedents to students' distance learning self-efficacy assessments and their behavioral and attitudinal consequences. The model was tested using LISREL analysis on the sample of 250 students who have worked with the Distance Learning System. The results indicated partial support for the conceptual model. In accordance with TAM, perceived usefulness had strong direct effects on intention to use and performance, while perceived ease of use had both direct and indirect effects on intention to use, but not performance. Distance learning self-efficacy had only direct effect on perceived ease of use to use. Computer experience was found to have a strong positive effect on distance learning self-efficacy, and computer anxiety had a negative effect on distance learning self-efficacy. Implications of these findings are discussed for researchers and practitioners.

Keywords

References

  1. 김광용, '인터넷을 이용한 효과적인 원격수업의 운영,' 경영정보학연구, 제8권, 제1호, 1998, pp. 125-144
  2. 유일, '원격교육시스템의 효과측정을 위한 요인분석,' 한국정보전략학회 춘계학술대회 논문집, 1999, pp. 27-41
  3. Adams, D.A, Nelson, R.R, and Todd, P.A., 'Perceives Usefulness, Ease of Use, and Usage of Information Technology: A Replication,' MIS Quarterly, Vol. 16, No.2, 1992, pp. 227-247 https://doi.org/10.2307/249577
  4. Agarwal, R and Prasad, J., 'Are Individual Differences Germane to the Acceptance of New Information Technologies?,' Decision Sciences, Vol. 30, No.2, 1999, pp. 361-391 https://doi.org/10.1111/j.1540-5915.1999.tb01614.x
  5. Agarwal, R, Sambamurthy, V., and Stair, R.M., 'The Evolving Relationship Between General and Specific Computer Self-Efficacy-An Empirical Assessment,' Infonnation Systems Research, Vol. 11, No.4, December 2000, pp. 418-430 https://doi.org/10.1287/isre.11.4.418.11876
  6. Ajzen, I. and Fishbein, M., Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice-Hall, 1980
  7. Alavi, M. and Leidner, D.E., 'Technology-Mediated Learning-A Call for Greater Depth and Breadth of Research,' Information Systems Research, Vol. 12, No. 1, March 2001, pp. 1-10 https://doi.org/10.1287/isre.12.1.1.9720
  8. Anderson, J.C., and Gerbing, D.W., 'Structural Equation Modeling in Practice: A Reviewand Recommended Two-Step Approach,' Psychological Bulletin, Vol. 103, No.3, 1988, pp. 411-423 https://doi.org/10.1037/0033-2909.103.3.411
  9. Bandura, A., 'Self-Efficacy: Toward a Unifying Theory of Behavioral Change,' Psychological Review, Vol. 84, No.2, 1977, pp. 191-215 https://doi.org/10.1037/0033-295X.84.2.191
  10. Bandura, A., 'Reflections on Self-Efficacy,' Advances in Behavioral Research and Therapy, Vol. 1, No.4, 1978, pp. 237-269 https://doi.org/10.1016/0146-6402(78)90012-7
  11. Bandura, A, 'Self-Efficacy Mechanisms in Human Agency,' American Psychologist, Vol. 37, No. 2, 1982, pp. 122-147 https://doi.org/10.1037/0003-066X.37.2.122
  12. Bandura, A, Social Foundations of Thought and Action, Prentice-Hall, Englewood Cliffs, NJ, 1986
  13. Bandura, A, and Cervone, D., 'Differential Engagement of Self-Reactive Mechanisms Governing the Motivational Effects of Goal Systems,' Organizational Behavior and Human Decision Process, Vol. 38, No. 1, 1986, pp. 92-113
  14. Bandura, A, and Schunk, D.H., 'Cultivating Competence, Self-Efficacy, and Intrinsic Interest Through Proximal SelfMotivation,' Journal of Personality and Social Psychology, Vol. 41, No.3, 1981, pp.586-598 https://doi.org/10.1037/0022-3514.41.3.586
  15. Bergeron, F., Rivard, S., and De Serre, L., 'Investigating the Support Role of the Information Center,' MIS Quarterly, Vol. 14, No.3, 1990, pp. 247-260 https://doi.org/10.2307/248887
  16. Block, H. and Dobell, B. The E-Bang Theory, Education Industry Overview, Equity Research, Bank of America Securities, Montgomery Division, San Francisco, CA, 1999
  17. Burkhardt, M., and Brass, D.J., 'Changing Patterns or Patterns of Change: The Effects of a Change in Technology on Social Network Structure and Power,' Administrative Science Quarterly, Vol. 35, 1990, pp. 104-127 https://doi.org/10.2307/2393552
  18. Chau, P.Y.K., 'An Empirical Investigation of Factors Affecting the Acceptance of CASE by Systems Developers,' Information & Management, Vol. 30, 1996, pp. 269- 280 https://doi.org/10.1016/S0378-7206(96)01074-9
  19. Compeau, D. and Higgins, C., 'Computer Self-Efficacy: Development of a Measure and Initial Test,' MIS Quarterly, Vol. 19, 1995a, pp. 189-211 https://doi.org/10.2307/249688
  20. Compeau, D. and Higgins, C., 'Application of Social Cognitive Theory to Training for Computer Skills,' Information Systems Research, Vol. 6, No.2, 1995b, pp. 118-143 https://doi.org/10.1287/isre.6.2.118
  21. Compeau, D., Higgins, C., and Huff, S., 'Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study,' MIS Quarterly, Vol. 23, No. 2, 1999, pp. 145-158 https://doi.org/10.2307/249749
  22. Davis, F.D., 'Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,' MIS Quarterly, Vol. 13, 1989, pp. 983-1003
  23. Davis, F.D., 'User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts,' International Journal of Man-Machine Studies, Vol. 38, No.3, 1993, pp. 475-487 https://doi.org/10.1006/imms.1993.1022
  24. Davis, F.D., Bagozzi, R.P., and Warshaw, P.R, 'User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,' Management Science, Vol. 35, No. 8, 1989, pp. 982-1003 https://doi.org/10.1287/mnsc.35.8.982
  25. DeLone, W.H. and McLean, E.R., 'Information Systems Success: The Quest for the Dependent Variable,' Information Systems Research, Vol. 3, No.1, 1992, pp. 60-95 https://doi.org/10.1287/isre.3.1.60
  26. Etezadi-Amoli, J. and Farhoomand, A.F., 'A Structural Model of End User Computing Satisfactionand User Performance,' Information & Management, Vol. 30, 1996, pp. 65-73 https://doi.org/10.1016/0378-7206(95)00052-6
  27. Fellers, J.W. and Moon, D.K., 'Exploring the Application of Distributed Group Support Systems to Distance Education,' Proceedings of the Twenty-seventh Annual Hawaii International Conference on System Sciences, Vol. 4, 1994, pp. 142-148
  28. Fishbein, M. and Ajzen, I., Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley, 1975
  29. Fornell, C. and Larcker, D.F., 'Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,' Journal of Marketing Research, Vol. 18, 1981, pp. 39-50 https://doi.org/10.2307/3151312
  30. Gist, M.E., 'Self-Efficacy: Implications for Organizational Behavioral and Human Resource Management,' Academy of Management Review, Vol. 12, 1987, 472-485 https://doi.org/10.2307/258514
  31. Gist, M.E. and Mitchell, T.R., 'Self-Efficacy: A Theoretical Analysis of Its Determinants and Malleability,' Academy of Management Review, Vol. 17, No.2, 1992, pp. 183-211 https://doi.org/10.2307/258770
  32. Gist, M.E., Schwoerer, C., and Rosen, B., 'Effects of Alternative Training Methods on Self-Efficacy and Performance in Computer Software Training,' Journal of Applied Psychology, Vol. 74, No.6, 1989, pp. 884-891 https://doi.org/10.1037/0021-9010.74.6.884
  33. Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W.C., Multivariate Data Analysis with Readings, 4th. Prentice-Hall, Inc. Englewood Cliffs, New York, 1995
  34. Hill, T., Smith, N.D., and Mann, M.F., 'Role of Efficacy Expectations in Predicting the Decision to Use Advances Technologies: The Case of Computers,' Journal of Applied Psychology, Vol. 72, 1987, pp. 307-313 https://doi.org/10.1037/0021-9010.72.2.307
  35. Igbaria, M. and Chakrabarti, A., 'Computer Anxiety and Attitudes towards Microcomputer Use,' Behavior and Information Technology, Vol. 9, 1990, pp. 229-241 https://doi.org/10.1080/01449299008924239
  36. Igbaria, M. and Iivari, J., 'The Effects of Self-efficacy on Computer Usage,' OMEGA International Journal of Management Science, Vol. 23, No.6, 1995, pp. 587-605 https://doi.org/10.1016/0305-0483(95)00035-6
  37. Igbaria, M. and Parasuraman, S., 'A Path Analytic Study of Individual Characteristics, Computer Anxiety, and Attitudes toward Microcomputers,' Journal of Management, Vol. 15, No.3, 1989, pp. 373-388 https://doi.org/10.1177/014920638901500302
  38. Igbaria, M., Zinatelli, N., Cragg, P., and Cavaye, A.L.M., 'Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model,' MIS Quarterly, Vol. 21, No.3, 1997, pp. 279-305 https://doi.org/10.2307/249498
  39. Johansen, R and Swigart, R, Upsizing the Individual in the Downsized Organization: Managing in the Wake of Reengineering, Globalization, and Overwhelming Technological Change, Addison-Wesley, Reading, MA, 1996
  40. Keil, M., Beranek, P.M., and Konsynski, B.R., 'Usefulness and Ease of Use: Field Study Evidence Regarding Task Considerations,' Decision Support Systems, Vol. 13, No.1, 1995, pp. 75-91 https://doi.org/10.1016/0167-9236(94)E0032-M
  41. Locke, E.A., 'The Motivation Sequence, the Motivation Hub, and the Motivation Core,' Organizational Behavior and Human Decision Process, Vol. 50, 1991, pp. 288-299 https://doi.org/10.1016/0749-5978(91)90023-M
  42. Mathieson, K., 'Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,' Information Systems Research, Vol. 2, No.3, 1991, pp. 173-191 https://doi.org/10.1287/isre.2.3.173
  43. Miura, I.T., 'The Relationship of Computer Self - fficacy Expectations to Computer Interest and Course Enrollment in College,' Sex Roles, Vol. 16, 1987, pp. 303-311 https://doi.org/10.1007/BF00289956
  44. Novak, T.P. and Hoffman, D. 'Modeling the Structure of Flow Experience Among Web Users,' Vanderbilt University, 1997(http://www2000.ogsm.vanderbilt.eduj/papers/flow.abstract.mit.1998/Modeling. the.Structure.of.the.Flow.Experience.html)
  45. Silver, W.S., Mitchell, T.R., and Gist, M.E., 'Responses to Successful and Unsuccessful Performance: The Moderating Effect of Self-Efficacy on the Relationship Between Performance and Attributions,' Organizational Behavior and Human Decision Process, Vol. 62, No.3, 1995, pp. 286-299 https://doi.org/10.1006/obhd.1995.1051
  46. Simonson, M.R., Maurer, M., Montag-Torardi, M., and Whitater, M., 'Development of a Standardized Test of Computer Literacy and a Computer Anxiety Index,' Journal of Educational Computing Research, Vol. 3, No.2, 1987, pp. 231-247
  47. Staples, D.S., Hulland, J.S., and Higgins, C.A. 'A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations,' Organization Science, Vol. 10, No.6, 1999, pp. 758-776 https://doi.org/10.1287/orsc.10.6.758
  48. Steenkamp, J.E.M. and Van Trijp, H.C.M., 'The Use of LISREL in Validating Marketing Constructs,' International Journal of Research in Marketing, Vol. 8, 1991, pp. 283-299 https://doi.org/10.1016/0167-8116(91)90027-5
  49. Subramanian, G.H., 'A Replication of Perceived Usefulness and Perceived Ease of Use Measurement,' Decision Sciences, Vol. 25, 1994, pp. 863-874 https://doi.org/10.1111/j.1540-5915.1994.tb01873.x
  50. Szajna, B., 'Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument,' MIS Quarterly, Vol. 18, No.3, 1996, pp. 85-92
  51. Taylor, S. and Todd, P.A, 'Understanding Information Technology Usage: a Test of Competing Models,' Information Systems Research, Vol. 6, No.2, 1995, pp. 144-176 https://doi.org/10.1287/isre.6.2.144
  52. Thompson, R.L., Higgins, C.A., and Howell, J.M., 'Personal Computing: Toward a Conceptual Model of Utilization,' MIS Quarterly, Vol. 15, 1991, pp. 125-143 https://doi.org/10.2307/249443
  53. Venkatesh, V., 'Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model,' Information Systems Research, Vol. 11, No.4, December 2000, pp. 342-365 https://doi.org/10.1287/isre.11.4.342.11872
  54. Venkatesh, V. and Davis, FD., 'A Model of the Antecedents of Perceived Ease of Use: Development and Test,' Decision Sciences, Vol. 27, No.3, 1996, pp. 451-481 https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
  55. Venkatesh, V. and Davis, F.D., 'A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,' Management Science, Vol. 46, No. 2, 2000, pp. 186-204
  56. Webster, J. and Martocchio, J.J., 'Microcomputer Playfulness: Development of a Measure with Workplace Implications,' MIS Quarterly, Vol. 16, No.2, 1992, pp. 201-224 https://doi.org/10.2307/249576
  57. Webster, J. and Martocchio, J.J., 'The Differential Effects of Software Training Previews on Training Outcomes,' Journal of Management, Vol. 21, No.4, 1995, pp. 757-787 https://doi.org/10.1177/014920639502100409
  58. Zhang, Y. and Espinoza, S., 'Relationships Among Computer Self-Efficacy, Attitudes Toward Computers, and Desirability of Learning Computing Skills,' Journal of Research on Computing in Education, Vol. 30, No.4, 1998, pp. 420-431