Abstract
There has been an increasing interest in the application of e-learning through the enhancement of internet and computer technologies. Satisfaction has appeared as a key factor in order to develop efficient course content in line with students’ demands and expectations. Thus, a lot of research has been conducted on the concept of satisfaction in electronic environments. Satisfaction has been seen to be the most significant variable on loyalty and usage intention in marketing and information science terms, which can also be highly related to academic success. In this regard, this study set out to investigate the effects of several variables on the learning processes of 930 e-learning students in the Sakarya University distance learning program. The findings of the research indicated that factors perceived playfulness, perceived ease of use and multimedia content effectiveness had a significant effect on perceived usefulness. Furthermore, it was concluded that satisfaction was affected by perceived usefulness, perceived playfulness and multimedia content effectiveness.
Keywords
E-learning Satisfaction Technology Acceptance Model (TAM) Playfulness Multimedia Content Effectiveness.
References
- Bereby-Meyer, Y., Meyer, J., Flascher, O.M. (2002). Prospect Theory Analysis of Guessing in Multiple Choice Tests. Journal of Behavioral Decision Making, 15 (4), 13-327.
- Rybanov, A.A. (2006a). Quantitative assessment of efficiency of the process of forming answers to test items in distance education testing. Quality. Innovations. Education, 5, 44
- Rybanov, A.A. (2008). Modelling dynamics of the process of assessing answers to multiple-choice test items in distance education testing. Quality. Innovations. Education, 1, 2
- Rybanov, A.A. (2006b). Modelling dynamics of the process of forming answers to multiple-choice test items in distance education testing. Open Education, 6, 43-50.
- Van Der Linden, W.J. (2008). Using response times for item selection in adaptive testing.
- Journal of Educational and Behavioral Statistics, 33 (1), 5-20.
Abstract
References
- Bereby-Meyer, Y., Meyer, J., Flascher, O.M. (2002). Prospect Theory Analysis of Guessing in Multiple Choice Tests. Journal of Behavioral Decision Making, 15 (4), 13-327.
- Rybanov, A.A. (2006a). Quantitative assessment of efficiency of the process of forming answers to test items in distance education testing. Quality. Innovations. Education, 5, 44
- Rybanov, A.A. (2008). Modelling dynamics of the process of assessing answers to multiple-choice test items in distance education testing. Quality. Innovations. Education, 1, 2
- Rybanov, A.A. (2006b). Modelling dynamics of the process of forming answers to multiple-choice test items in distance education testing. Open Education, 6, 43-50.
- Van Der Linden, W.J. (2008). Using response times for item selection in adaptive testing.
- Journal of Educational and Behavioral Statistics, 33 (1), 5-20.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | March 1, 2013 |
| Submission Date | February 27, 2015 |
| Published in Issue | Year 2013 Volume: 14 Issue: 1 |