Prioritizing Key Elements of Electronic Learning Achievement with AHP / CFA Approach at Shiraz University Electronic Education Faculty

Subject Areas : Education

منیژه Rajabi ¹ (Master's Degree in Islamic Azad University of Zarghan)
حسن Soltani ² (islamic azad university)

Received: 2018-11-25 Accepted : 2019-10-21 Published : 2019-08-23

Keywords: confirmatory factor analysis, e-learning, hierarchical analysis process, Key factors of success,

Abstract :

This study aimed to provide model and prioritize the key factors of electronic learning success. The statistical population of this study was the students of the Faculty of Electronic Education of Shiraz University, which is equal to 715 people. In accordance with Morgan's table, the sample size was 250, which was determined by non-random sampling in Access Available. Using the binomial distribution technique, among the 21 key e-learning success factors that were derived from the research background, 4 indicators were eliminated and 17 indicators were selected. These 17 factors were based on exploratory factor analysis technique in five general categories: "System Quality, Teachers 'Competency and Educational Assistants, Content Effectiveness, Teachers' Interaction, Student Interaction, and Student Competency". Using the confirmatory factor analysis technique (Laser software), the fitting of the proposed model was confirmed. The results of prioritizing the key factors of electronic learning success, based on the hierarchical analysis process technique, showed that the quality of the program of the electronic learning system, the quality of the provided content, user-friendliness of the electronic learning system and the teacher's information literacy, the most important success factors Learning electronics.

References:

• Alaneme, G., Olayiwola.P., & Reju. C. (2010). Combining Traditional Learning and the E-Learning Methods in Higher Distance Education: Assessing Learners Preference. Puerto Rico: 4th International Conference on Distance Learning and Education (ICDLE).


• Dillon, C., & Gunawardena, C. (2008). A framework for the evaluation of telecommunications-based distance education. Paper presented at the Paper presented at the 17th Congress of the International Council for Distance Education Open University, Milton Keynes.


• Findlow, S (2012). Higher education chang and professional-academic identity in   newly ‘academic’ disciplines: the case of nurse education. High Education, 63, 117–133.


• FitzPatrick, Th. (2012). Key Success Factors of eLearning in Education: A Professional Development Model to Evaluate and Support eLearning. US-China Education Review, 9, 789-795


• Halkett, R. (2002). E-learning and how to survive it. Industrial and commercial training 34 (2), 80-82.


• Herman, R.D., & Renz DO. (2015). Advancing nonprofit organizational effectiveness research and theory: nine theses. Nonprofit Management and Leadership, 18(4), 399-415. 


• Kanwal, F., & Rehman, M. (2017). Factors Affecting E-Learning Adoption in Developing Countries: Empirical Evidence from Pakistan’s Higher Education Sector. IEEE Access, 5, 10968-10978.


• Khan, B. H. (2000). A framework for e-learning. Distance Education Report, 4(24), 3-8.


• Lee, M.-C. (2010). Explaining and predicting users’ continuance intention toward e-learning: an extension of the expectation-confirmation model. Computers & Education, 54(2), 506–516.


• Maier, B., paechter, M., & Macher, D. (2018). Students Expectations of, and Experiences in E-Learning: Their Relation to Learning a Achievements and Course Satisfaction. Computers & Education, 54, 222-229.


• Michaels, E., Handfield-Jones, H. & Axelrod, B. (2016). The Warfor Talent. Boston: Harvard Business School Press.


• Nneka Eke, H. (2011). Modeling LIS students  intention to adopt e-learning: A case from University of Nigeria Nsukka.: Library Philosophy and Practice.


• Ozkan, S., & and Koseler, R. (2009). Multi-dimensionalstudents’ evaluation of e-learning systems in thehigher education context: An empiricalinvestigation, Computers & Education, vol. 53 ,pp. 1285—1296.


• Schuler, S., & Jackson, S. (2009).  Managing Human Resources. Cengage Learning.


• Selim, H.M. (2007). Critical success factors for e-learning acceptance: ConWrmatory factor models. Computers & Education, 49, 396–413


• Soong, M. H. B., Chan, H. C., Chua, B. C., & Loh, K. F. (2016). Critical success factors for online course resources. Computers & Education, 36(2), 101-120.


• Webster, J., & Hackley, P. (2017). Teaching effectiveness in technology-mediated distance learning. Academy of Management Journal, 40(6), 1282-1309.


• Zameer, A. (2010). Virtual education system current myth & future reality in Pakistan. Informing Science and Information Technology, 7(1), 1- 8.