DOI QR코드

DOI QR Code

The Study of social factors toward Academic Satisfaction in E-Learning Education

  • Kim, Kyung-Woo (Dept. of Addiction Rehabilitation with Social Welfare, Eulji University)
  • Received : 2016.10.05
  • Accepted : 2016.10.25
  • Published : 2016.11.30

Abstract

This paper investigates the empirical implications. The research question of this study is to verify the influences of psychological and environmental factors toward performance satisfaction and durability of learning in E-Learning University. For empirical verification, a survey was conducted targeting 500 students in E-learning Universities. The results show that actional environment on academic satisfaction in learning is the most important factor followed by physical environment, internal motivation, and academic burnout. The effect of psychological factors on learning persistence was important in the order of academic vision, internal motivation, actional environment and physical environment. The effect of academic satisfaction on learning durability proved to be statistically significant. The results suggest that actional environment should be considered with top priority to increase the academic satisfaction. learning satisfaction, academic vision, and academic satisfaction to enhance students' intention to continue studies are important. Academic burnout has a negative effect on both academic satisfaction and learning persistence, suggesting that this aspect should be properly addresses. The effects of student background variables in E-learning were explored.

Keywords

References

  1. Aragon, S.R. The influence of learning style preferences on student success in online versus environment .The American Journal of Education Vol. 16, No. 3, pp. 219-232, March 2005.
  2. Chute, A., Thompson The McGraw-Hill Handbook of Distance Learning , NY: McGraw-Hill ,2013.
  3. Lim, y. W., Prediction of Academic Persistence, Satisfaction and Academic Achievement of adult e-learners According to Institute Value and Academic Self-Efficacy, Korea HRD Research, 5(4), pp.49-67, 2010
  4. Khan, B. H. , Web Based training: An instruction , In B.H. Khan(Ed.) Web-based Instrument Englewood Cliffs, NJ: Educational Technology Publications, pp.5-12, 2001.
  5. Martiinez, M., High attrition rate in e-learning : Challenges, Predictors, and solutions, The e-learning Developers Journal, 1-7, 2009.
  6. Moore, MG., & Kearsley , G. Distance education: A system view : Belmont, CA: Wardsworth Publishing Company, 2000.
  7. Kaminski, K., Switzer, J., & Gloeckner, G.. Workforce readiness: A study of university students' fluency with information technology. Computers & Education, 53(2), 228-233, 2009. https://doi.org/10.1016/j.compedu.2009.01.017
  8. Pike, G. R.. The relationship between perceived learning and satisfaction with college: An alternative view. Research in Higher Education, 34(1), 23-40, 2010. https://doi.org/10.1007/BF00991861
  9. Schunk, D.H.. Goal and self-evaluative influences during children's cognitive skill learning. American Educational Research Journal, 33, 359-382, 2012.
  10. Wilson, K., & Fowler, J.. Assessing the impact of learning environments on students' approaches to learning: comparing conventional and action learning designs. Assessment and Evaluation in Higher Education, 30(1), 87-101, 2009. https://doi.org/10.1080/0260293042003251770