Engineer
British Journal of Educational Technology doi:10.1111/j.1467-8535.2009.00937.x Vol 41 No 2 2010
307–323
The impact of individual differences on e-learning system satisfaction: A contingency approach
Hsi-Peng Lu and Ming-Jen Chiou
Hsi-Peng Lu is a professor of Information Management at National Taiwan University of Science and
Technology. Ming-Jen Chiou is a PhD student at National Taiwan University of Science and Technology and a lecturer at St. John’s University. Address for correspondence: Ming-Jen Chiou, Department of
Industrial Engineering and Management, St. John’s University, No. 499, Sec. 4, Tam King Road Tamsui,
Taipei, Taiwan. Email: chiou@mail.sju.edu.tw
Abstract
This study investigated the impact of contingent variables on the relationship between four predictors and students’ satisfaction with e-learning. Five hundred and twenty-two university students from 10 intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and satisfaction with e-learning systems. The results of analysis of variance and structural equation modelling analyses showed that two contingent variables, gender and job status, significantly influenced the perceptions of predictors and students’ satisfaction with the e-learning system. This study also found a statistically significant moderating effect of two contingent variables, student job status and learning styles, on the relationship between predictors and e-learning system satisfaction. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system satisfaction.
The implications of these results for the management of e-learning systems are discussed. Introduction
During the past 20 years of Web technology development, a web-based learning system has been widely used in higher education (Kim & Bonk, 2006). There are many benefits
to
307–323
The impact of individual differences on e-learning system satisfaction: A contingency approach
Hsi-Peng Lu and Ming-Jen Chiou
Hsi-Peng Lu is a professor of Information Management at National Taiwan University of Science and
Technology. Ming-Jen Chiou is a PhD student at National Taiwan University of Science and Technology and a lecturer at St. John’s University. Address for correspondence: Ming-Jen Chiou, Department of
Industrial Engineering and Management, St. John’s University, No. 499, Sec. 4, Tam King Road Tamsui,
Taipei, Taiwan. Email: chiou@mail.sju.edu.tw
Abstract
This study investigated the impact of contingent variables on the relationship between four predictors and students’ satisfaction with e-learning. Five hundred and twenty-two university students from 10 intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and satisfaction with e-learning systems. The results of analysis of variance and structural equation modelling analyses showed that two contingent variables, gender and job status, significantly influenced the perceptions of predictors and students’ satisfaction with the e-learning system. This study also found a statistically significant moderating effect of two contingent variables, student job status and learning styles, on the relationship between predictors and e-learning system satisfaction. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system satisfaction.
The implications of these results for the management of e-learning systems are discussed. Introduction
During the past 20 years of Web technology development, a web-based learning system has been widely used in higher education (Kim & Bonk, 2006). There are many benefits
to
References: Allen, E. & Seaman, J. (2004). Entering the mainstream: the quality and extent of online education in the United States, 2003 and 2004 Vol Bagozzi, R. P. & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marking Science, 16, 74–94. Bollen, K. A. (1989). Structural equation with latent variables. New York: Wiley. Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C. & Sun, P. C. (2005). Usability, quality, value and e-learning continuance decisions Cohen, J. & Cohen, P. (1988). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.) Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 294–334. DeLone, W. D. & McLean, E. R. (1992). Information systems success: the quest for the dependent variable DeLone, W. D. & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update Doll, W. J. & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12, 259–274. Federico, P. A. (2000). Learning styles and student attitudes toward various aspects of networkbased instruction. Computers in Human Behavior, 16, 359–379. Fiedler, F. E. (1967). A theory of leadership effectiveness. New York: McGraw-Hill. Gallagher, S. (2004). Online distance education market update: a nascent market begins to mature Garland, D. & Martin, B. N. (2005). Do gender and learning style play a role in how online courses should be designed? Journal of Interactive Online Learning, 4, 67–81. Harris, R. N., Dwyer, W. O. & Leeming, F. C. (2003). Are learning styles relevant in web-based instruction? Journal of Educational Computing Research, 29, 13–28. James, G. W. (2001). Take the ID road to success. Training and Development, 55, 16–17. Joint Information Systems Committee (JISC). (2007). Effective practice with e-learning: a good practice guide in designing for learning Kolb, D. A. (1976). Learning style inventory: technical manual. Boston: McBear. Kolb, D. A. (1984). Experiential learning: experience as the source of learning and development. Kolb, D. A. (1999). Learning style inventory: version 3. Boston: Hay/McBer Training Resources Group. Lee, Y. K. (2007). Understanding e-learning consumers: the moderating effects of gender and learner diversity Lee, Y. K., Tseng, S. P., Liu, F. J. & Liu, S. C. (2007). Antecedents of learner satisfaction toward e-learning Liegle, J. O. & Janicki, T. N. (2006). The effect of learning styles on the navigation needs of web-based learners Lu, J., Yu, C. S. & Liu, C. (2003). Learning style, learning patterns, and learning performance in a WebCT-based MIS course Masiello, I., Ramberg, R. & Lonka, K. P. O. (2005). Attitudes to the application of a web-based learning system in a microbiology course McDonald, R. P. & Ho, M. R. (2002). Principles and practice in reporting structural equation analysis McKeen, J. D., Guimaraes, T. & Wetherbe, J. C. (1994). The relationship between user participation and user satisfaction: an investigation of four contingency factors. MIS Quarterly, 18, 427–451. (1996). Reclaiming instructional design. Educational Technology, 36, 5–7. Netemeyer, R., Bentler, P., Bagozzi, R., Cudeck, R., Cote, J., Lehmann, D. et al (2001). Structural equations modeling Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill. Ong, C. S. & Lai, J. Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22, 816–829. Wang, K. H., Wang, T. H., Wang, W. L. & Huang, S. C. (2006). Learning styles and formative assessment strategy: enhancing student achievement in web-based learning Wang, Y. S. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems Woodward, J. (1965). Industrial organisation: theory and practice. London: Oxford University Press. Yang, H. (1993). Confucius (K’ung Tzu). Prospects: the quarterly review of comparative education, XXIII, 211–219. Yanosky, R. (2004). Higher-education e-learning grows up. Stamford, Connecticut, USA: Gartner Group. Zastrocky, M., Yanosky, R. & Harris, M. (2004). E-learning in higher education: a quiet revolution. Zhang, D. & Nunamaker, J. F. (2003). Powering e-learning in the new millennium: an overview of e-learning and enabling technology