Abstract
This paper examines the internal factors (Internet self-efficacy and self-motivation) as well as an external factor (interaction) which affect university students’ level of satisfaction towards online learning systems. Field data were collected from 282 students from a public university. Data were analysed using multiple regression analysis. The outcome of the analysis suggests that these factors are significant predictors to students’ level of satisfaction when using a university’s online learning system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alavi, M., Wheeler, B. C., & Valacich, J. S. (1995). Using IT to reengineer business education: An exploratory investigation of collaborative telelearning. MIS quarterly, 293–312.
Allen, I. E., & Seaman, J. (2010). Class differences: Online education in the United States, 2010. Sloan Consortium (NJ1).
Bolliger, D. U., & Wasilik, O. (2009). Factors influencing faculty satisfaction with online teaching and learning in higher education. Distance Education, 30(1), 103–116.
Chen, K. C., & Jang, S. J. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741–752.
Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An empirical investigation*. Decision Sciences Journal of Innovative Education, 4(2), 215–235.
Goi, C. L., & Ng, P. Y. (2009). E-learning in Malaysia: Success factors in implementing e-learning program. International Journal of Teaching and Learning in Higher Education, 20(2), 237–246.
Graham, M., & Scarborough, H. (2001). Enhancing the learning environment for distance education students. Distance Education, 22(2), 232–244.
Hiltz, S. R., & Turoff, M. (2005). Education goes digital: The evolution of online learning and the revolution in higher education. Communications of the ACM, 48(10), 59–64.
Ke, F., & Kwak, D. (2013). Online learning across ethnicity and age: A study on learning interaction participation, perception, and learning satisfaction. Computers & Education, 61, 43–51.
Khalid, M., Yusof, R., Heng, C. T., & Yunus, M. R. M. (2006, June). Virtual laboratory as an effective e-learning tool. Paper presented at the B3—E-Learning, Euro Southeast Asia 2006, Singapore, Thailand.
Kuo, Y. C., Walker, A. E., Schroder, K. E., & Belland, B. R. (2014). Interaction, internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50.
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183–1202.
Wei, H. C., Peng, H., & Chou, C. (2015). Can more interactivity improve learning achievement in an online course? Effects of college students’ perception and actual use of a course-management system on their learning achievement. Computers & Education, 83, 10–21.
Zhu, C. (2012). Student satisfaction, performance, and knowledge construction in online collaborative learning. Educational Technology & Society, 15(1), 127–136.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tan, S., Chuah, F., Ting, H. (2017). Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors. In: Teh, G., Choy, S. (eds) Empowering 21st Century Learners Through Holistic and Enterprising Learning. Springer, Singapore. https://doi.org/10.1007/978-981-10-4241-6_1
Download citation
DOI: https://doi.org/10.1007/978-981-10-4241-6_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4240-9
Online ISBN: 978-981-10-4241-6
eBook Packages: EducationEducation (R0)