Predicting Student Satisfaction In Distance Education And Learning Environments
Abstract
The purpose of this study was to analyze characteristics of online learning environments. Data collected using the Distance Education Learning Environments Survey (DELES) were used to explore the relationship between student satisfaction and the following predictor variables: instructor support, student interaction and collaboration, personal relevance, authentic learning, active learning, and student autonomy. The participants of this study were 917 undergraduate students at an Anatolian university in Turkey. Results of the regression analysis show that four of the six DELES scales, namely, personal relevance, instructor support, active learning, and authentic learning, were significantly and positively related to student satisfaction. These results provide valuable feedback to institutions offering online classes and to educators evaluating satisfaction of their students.
Keywords
Student Satisfaction; Distance Education; Learning Environment; DELES
References
- Arbaugh, J. B. (2000). How classroom environment and student engagement affect learning in Internet-based MBA courses. Business Communication Quarterly, 63 (4), 9-26.
- Areti, V. (2006). Satisfying distance education students of the Hellenic Open University. E- mentor,2 (14), 1-12.
- Bender, D. M., Wood, B. J., & Vredevoogd, J. D. (2004). Teaching time: Distance education versus classroom instruction. The AmericanJournal of Distance Education, 18 (2), 103-114.
- Biggs, M. J. G. (2006). Comparison of student perceptions of classroom instruction: Traditional, hybrid, and distance education. Turkish Online Journal of Distance Education (TOJDE), 7 (2), 46-51.
- Chen, D., & Guo, W. Y. (2005). Distance learning in China. Journal of Distance Education Technologies, 3 (4), 1-5.
- Clayton, J. (2004). Investigating online learning environments. In R. Atkinson, C. McBeath, D. Jonas-Dwyer, R. Phillips, (Eds.), Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference (pp. 197-200). Perth, Australia: Australasian Society for Computers in Learning in Tertiary Education.
- Ellis, T. J., & Cohen, M. S. (2005). Building the better asynchronous computer mediated communication system for use in distributed education. Proceedings of the 35th Frontiers in Education Conference (pp. T3E15- T3E20). Piscataway, NJ: IEEE.
- Leh, A. (1999). Computer-mediated communication and foreign language learning via telecommunication technology. In B. Collis, R. Oliver, (Eds.), Ed-Media: Proceedings of World Conference on Educational Multimedia, Hypermedia, and Telecommunications (pp. 68-73). Charlottesville, VA: Association for the Advancement of Computing in Education.
- Moos, R. H. (1974). Systems for the assessment and classification of human environments: An overview. In R.H. Moos, P. M. Insel, (Eds.), Issues in social ecology: Human milieus (pp. 5 – 29). Palo Alto, CA: National Press.
- Palloff, R. M., & Pratt, K. (1999). Building learning communities in cyberspace: Effective strategies for the online classroom. San Francisco: Jossey-Bass.