Hani Bani-Salameh
ABSTRACT
Recently, technology has been extensively used to facilitate our life. It is necessary to take advantage of it in the education field to take delivery of information in spite of distances. Consequently, a new figure of learning is used; e-learning. It is critical to put into practice a successful and effective e-learning that meets up the students' needs and achieves their requirements, therefore, researchers have tried to conclude many factors that donates in achieving such kind of education. This paper proposes an e-learning model that consists of nineteen critical success factors classified in five dimensions. The proposed model is empirically tested using a sample of 676 respondents from three different universities in Jordan.
- Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS quarterly, 401--426. Google Scholar
Digital Library
- Wilson, B. G. (Ed.). (1996). Constructivist learning environments: Case studies in instructional design. Educational Technology. Educational Technology Publications, Englewood Cliffs, NJ.Google Scholar
- Stonebraker, P. W., Hazeltine, J. E., 2004. Virtual learning effectiveness. The Learning Organization 11 (2/3), 209--225. Govindasamy, T. (2001). Successful implementation of e-learning: Pedagogical considerations. The Internet and Higher Education, 4(3), 287--299.Google ScholarCross Ref
- Johnson, R. D., Hornik, S., & Salas, E. (2008). An empirical examination of factors contributing to the creation of successful e-learning environments. International Journal of Human-Computer Studies, 66(5), 356--369. Google ScholarDigital Library
- Paechter, M., Maier, B., & Macher, D. (2010). Students' expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education, 54(1), 222--229. Google ScholarDigital Library
- Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792--1808. Google ScholarDigital Library
- Holsapple, C. W., & Lee-Post, A. (2006). Defining, Assessing, and Promoting E-Learning Success: An Information Systems Perspective*. Decision Sciences Journal of Innovative Education, 4(1), 67--85.Google ScholarCross Ref
- 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.Google Scholar
- Alhomod, S., & Shafi, M. M. (2013). Success Factors of E-Learning Projects: A Technical Perspective. Turkish Online Journal of Educational Technology-TOJET, 12(2), 247--253.Google Scholar
- Mbarek, R., & Zaddem, F. (2013). The examination of factors affecting e-learning effectiveness. International Journal of Innovation and Applied Studies,2(4), 423--435.Google Scholar
- Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396--413. Google ScholarDigital Library
- Johnson, R. D., Hornik, S., & Salas, E. (2008). An empirical examination of factors contributing to the creation of successful e-learning environments. International Journal of Human-Computer Studies, 66(5), 356--369. Google ScholarDigital Library
- Khan, B. H. (2001). A framework for web-based learning. Engelwood CliVs, NJ: Educational Technology Publications. Google ScholarDigital Library
- Gattiker, U. E., & Hlavka, A. Computer attitudes and learning performance: Issues for management education and training. Journal of Organizational Behavior, 13(1), 89--101.Google Scholar
- Barbeite, F. G., & Weiss, E. M. (2004). Computer self-efficacy and anxiety scales for an Internet sample: testing measurement equivalence of existing measures and development of new scales. Computers in Human Behavior, 20, 1--15.Google ScholarCross Ref
- Joo, Y. J., Bong, M., & Choi, H. J. (2000). Self-efficacy for self-regulated learning, academic self-efficacy, and Internet self-efficacy in web-based instruction. Educational Technology Research and Development, 48(2), 5--17.Google ScholarCross Ref
- Arbaugh, J. B. (2000). Virtual classroom characteristics and student satisfaction with internet-based MBA courses. Journal of Management Education, 24(1), 32--54.Google ScholarCross Ref
- Thurmond, V. A., Wambach, K., & Connors, H. R. (2002). Evaluation of student satisfaction: determining the impact of a web-based environment by controlling for student characteristics. The American Journal of Distance Education, 16(3), 169--189.Google ScholarCross Ref
- Phipps, L., & Kelly, B. (2013). "Holistic approaches to e-learning accessibility". ALT-J: Research In Learning Technology, 14(1), 69--78.Google ScholarCross Ref
- Davis, F. D, (1989) "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, pp. 319--340. Google ScholarDigital Library
- Amoroso, D. L., & Cheney, P. H. (1991). Testing a causal model of end-user application effectiveness. Journal of Management Information Systems, 8(1), 63--89. Google ScholarDigital Library
- E-Learning Critical Success Factors Model: Empirical Investigation
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