Abstract
References
- Abbad, M. M., Morris, D., & Nahlik, C. D. (2009). Looking under the bonnet: Factors affecting student adoption of e-Learning systems in Jordan. International Review of Research in Open and Distance Learning, 10(2), 1-15.
- Abdullah, F., & Ward, R. (2016). Developing a general extended technology acceptance model dor e-learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behaviour, 56, 238-256.
- Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90.
- Abramson, J., Dawson, M., & Stevens, J. (2015). An examination of the prior use of e-learning within an extended technology acceptance model and the factors that influence the behavioral intention of users to use m-learning. SAGE Open, 5(4), 1-9.
- Adornetto, C., Hensdiek, M., Meyer, A., In-Albon, T., Federer, M., & Schneider, S. (2008). The factor structure of the childhood anxiety sensitivity index in German children. Journal of Behavior Therapy and Experimental Psychiatry, 39(4), 404-416.
- Agudo-Peregrina, A. F., Hernandez-Garcia, A., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301-314.
- Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
- Al-Ammari, J., & Hamad, S. (2008, April). Factors influencing the adoption of e-learning at UOB. In 2nd International Conference and Exhibition for Zain E-learning Center, 28-30.
Abstract
The use and benefit of Distance Learning Systems (DLS) can be increased by a detailed analysis of the factors
affecting students’ intention to use. This study aims to analyse the effect of various independent variables
on the user satisfaction and intention to use DLS via Perceived Ease of Use and Perceived Usefulness. In
addition, Time Effectiveness is proposed as a new variable with the claim that the time spent in DLS is
valuable. Data were collected from 925 undergraduate students currently enrolled in 9 state universities
in Turkey. Data were analysed through Structural Equation Modelling (SEM). Results show that while
Interaction, Compatibility and Time Effectiveness have a positive effect on user satisfaction and intention
to use via Perceived Usefulness; Self Efficacy, Subjective Norm and Enjoyment have no influence. Moreover,
Self Efficacy, Interaction, Anxiety and Time Effectiveness have a significant impact on Perceived Ease of Use,
yet Subjective Norm and Enjoyment don’t.
Keywords
Distance Learning System Technology Acceptance Model intention to use user satisfaction e-learning
References
- Abbad, M. M., Morris, D., & Nahlik, C. D. (2009). Looking under the bonnet: Factors affecting student adoption of e-Learning systems in Jordan. International Review of Research in Open and Distance Learning, 10(2), 1-15.
- Abdullah, F., & Ward, R. (2016). Developing a general extended technology acceptance model dor e-learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behaviour, 56, 238-256.
- Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75-90.
- Abramson, J., Dawson, M., & Stevens, J. (2015). An examination of the prior use of e-learning within an extended technology acceptance model and the factors that influence the behavioral intention of users to use m-learning. SAGE Open, 5(4), 1-9.
- Adornetto, C., Hensdiek, M., Meyer, A., In-Albon, T., Federer, M., & Schneider, S. (2008). The factor structure of the childhood anxiety sensitivity index in German children. Journal of Behavior Therapy and Experimental Psychiatry, 39(4), 404-416.
- Agudo-Peregrina, A. F., Hernandez-Garcia, A., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301-314.
- Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
- Al-Ammari, J., & Hamad, S. (2008, April). Factors influencing the adoption of e-learning at UOB. In 2nd International Conference and Exhibition for Zain E-learning Center, 28-30.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | April 1, 2021 |
| Submission Date | May 9, 2020 |
| Published in Issue | Year 2021 Volume: 22 Issue: 2 |