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:: Volume 11, Issue 1 (March-April 2018) ::
Educ Strategy Med Sci 2018, 11(1): 157-171 Back to browse issues page
The Explanation of the Components of the E-Learning System and its Relationship with the Satisfaction of Faculty Members in Payame Noor University
Zohreh Esmaeili 1, Mehran Farajollahi 2, Bahman Saeedipour 3, Hemmtollah Taheri Otaghsara Seyed 4
1- Assistant Professor Department of Psychology and Educational Sciences, Payame Noor University, Tehran, Iran
2- Professor Department of Psychology and Educational Sciences, Payame Noor University, Tehran, Iran
3- Associate Professor Department of Psychology and Educational Sciences, Payame Noor University, Tehran, Iran
4- PhD Student Department of Planning for Distance Education, Payame Noor University, Tehran, Iran , taheri.1348@yahoo.com
Abstract:   (185 Views)
Introduction: The purpose of this study is to explain the components of the e-learning system and its relationship with the teachers' satisfaction in order to continue using the e-learning system in Payame Noor University
Methods: The purpose of this research is applied and in terms of the method of collecting survey information and in terms of nature and method, is a correlation type. The statistical population consisted of all professors of Payame Noor University who had an e-learning experience of at least one half year According to the Morgan table, the number of samples was 357 and the subjects were selected using multi-stage cluster sampling method. The data gathering tool was a questionnaire of e-learning system features and part of the questionnaire by Ming et al. (2011). The research data were analyzed using structural equation models.
Results: The results of measurement squared multiple correlation (R2) has shown that the observed variables in the variable characteristics of the e-learning system, the technical quality of system variables (R2 = 0.45) and the security and quality of service system both with (R2 = 0.24) as trusted (Payatryn) indices measure the characteristics of the e-learning system. The satisfaction variables of the system, the tendency to continue to use and the features of the system are calculated to be 0.87, 0.92, and 0.71, respectively. Therefore, we see that the combined reliability values for all the latent model variables were greater than 0.6. In the study of the fitting of the structural part of the model, the study of the significance of the parameters of the communication paths of the latent variables showed that the direct effect of the technical quality of the system variable on the satisfaction of the system (t-value = 23.4) and the willingness to continue applying the system 17.2 = t-value) is meaningful. In the implementation of the structural equation model, the output of the software indicates that the fitted structural model is fitted, and the hypothesized model presented in this study has a RMSEA of 0.84 and a kay scavenger of 51.3 which indicates that the model of fit is good.
Conclusions: Educational systems based on information technology have become an important part of the human education process. Traditional teaching methods are less supported by digital content and multimedia presentation methods. And today there are many electronic and e-learning systems that use information and communication technology to teach and teach.
Keywords: Electronic Teaching System Components, Teachers Satisfaction, E-Learning System, Payame Noor University
Full-Text [PDF 1100 kb]   (28 Downloads)    
Article Type: Original Research | Subject: Research in Medical Science Education
Received: 2018/01/3 | Accepted: 2018/04/17 | Published: 2018/04/23
1. Neo M, Neo KTK, Lim T-L, Tan HY-J, Kwok W-J. Instructional Relationships within a Web-based Learning Environment: Students' Perceptions in a Malaysian Classroom. Proc Soc Behav Sci. 2013;103:515-25. [DOI:10.1016/j.sbspro.2013.10.368]
2. Derakhshande M. [An evaluation of the student satisfaction of MA university e-learning system based on Kano model] [dissertation]. Malaysia: Mehr Alborz Virtual University; 2011.
3. Lee YJ, Lee D. Factors influencing learning satisfaction of migrant workers in Korea with e-learning-based occupational safety and health education. Saf Health Work. 2015;6(3):211-7. [DOI:10.1016/j.shaw.2015.05.002] [PMID] [PMCID]
4. Chiu YL, Tsai CC, Fan Chiang CY. The relationships among nurses' job characteristics and attitudes toward web-based continuing learning. Nurse Educ Today. 2013;33(4):327-33. [DOI:10.1016/j.nedt.2013.01.011] [PMID]
5. Okhovati M, Sharifpoor Ghahestani E, Islami Nejad T, Hamzezadeh Marzooni M, Motamed Jahroomi M. [Attitude, knowledge and skill of medical students toward E-Learning; Kerman University of Medical Sciences]. Bimonthly Educ Strategy Med Sci. 2015;8(1):51-8.
6. Kamkar P, Nili Ahmadabadi M. [Factor Structure Questionnaire Questionnaire and its review at Universities of Tehran E-Learning]. ICTEDU 2013;1(4):105-28.
7. Hasanzadeh M. [Electronic learning]. Tehran: Tadbir Publication; 2002.
8. Trepka MJ, Newman FL, Davila EP, Matthew KJ, Dixon Z, Huffman FG. Randomized controlled trial to determine the effectiveness of an interactive multimedia food safety education program for clients of the special supplemental nutrition program for women, infants, and children. J Am Diet Assoc. 2008;108(6):978-84. [DOI:10.1016/j.jada.2008.03.011] [PMID]
9. Ghasemi Z, Falahabed P, Samieirad F. [Application electronic learning in medicine science: Multimedia project in Ghazvin university 2009]. Mashhad: Ofogh Publication; 2009.
10. Loutfy M. [analyzing the Satisfaction Rate of Clinical Education System in Shiraz University of Medical Sciences with 360 Degree Evaluation Approach]. Iran Univ Med Sci J. 2013;20(14).
11. Yengin I, Karahocab A, Karahoca D. E-Learning success model for instructors satisfactions in perspective of interaction and usability outcomes: Elsevier; 2010.
12. Bhuasiri W, Xaymoungkhoun O, Zo H, Rho JJ, Ciganek AP. Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Comp Educ. 2012;58(2):843-55. [DOI:10.1016/j.compedu.2011.10.010]
13. Tseng A. Why do online tourists need sellers' ratings? Exploration of the factors affecting regretful tourist e-satisfaction. Tour Manage. 2017;59:413-24. [DOI:10.1016/j.tourman.2016.08.017]
14. Hong J-C, Tai K-H, Hwang M-Y, Kuo Y-C, Chen J-S. Internet cognitive failure relevant to users' satisfaction with content and interface design to reflect continuance intention to use a government e-learning system. Comp Hum Behav. 2017;66:353-62. [DOI:10.1016/j.chb.2016.08.044]
15. Harrati N, Bouchrika I, Tari A, Ladjailia A. Exploring user satisfaction for e-learning systems via usage-based metrics and system usability scale analysis. Comp Hum Behav. 2016;61:463-71. [DOI:10.1016/j.chb.2016.03.051]
16. Asoodar M, Vaezi S, Izanloo B. Framework to improve e-learner satisfaction and further strengthen e-learning implementation. Comp Hum Behav. 2016;63:704-16. [DOI:10.1016/j.chb.2016.05.060]
17. Wu H-C, Ai C-H. Synthesizing the effects of experiential quality, excitement, equity, experiential satisfaction on experiential loyalty for the golf industry: The case of Hainan Island. J Hosp Tour Manage. 2016;29:41-59. [DOI:10.1016/j.jhtm.2016.05.005]
18. Sanayhaei A, Shahin A. [Governance of Internal Marketing Components and its Impact on Quality of Service Development in Afshar Hospital, Yazd]. SRBIAU. 2012;0(0):99-108.
19. Najafizadeh N, Mojoodi A, Ghasemi P. [A Model for Identifying Service Quality Dimensions in Technological Banking Based on Students' Viewpoints (Case Study: Islamic Azad University - Arak Branch)]. SRBIAU. 2013;0(0):15-32.
20. Nayebzadeh S. [Comparison of market orientation in private and public banks and its impact on the quality of banking services (Case study: Yazd city)]. SRBIAU. 2013;0(0):147-66.
21. Azizi S. Evaluating the quality of electronic service. IT Mag. 2016;2(17):46-8.
22. Hasangholipour T, Esfidani M, Sajedifar A, Mohammadi A. [Effect of Quality of Electronic Services on Creating Trust and Satisfaction of Customers in the Financial Services Industry: A Study of Brokerage Companies in Tehran Stock Exchange]. IRLAW. 2012:57-78.
23. Hajikarimi A, Hamidizadeh M, Mansouri T. Review and analyze the perceived justice effects on customer behavior patterns and perceived service quality. R T M. 2013;1(5):1-27.
24. Frazer A. Quality in Higher Education: An international perspective. In D. Green, What is quality in Higher Education? Buckingham: O Up; 1994.
25. Harvey L, Green D. Defining Quality. Asses Eval Hi Educ. 2006;18(1):9-34. [DOI:10.1080/0260293930180102]
26. Haffar M, Al-Karaghouli W, Ghoneim A. An empirical investigation of the influence of organizational culture on individual readiness for change in Syrian manufacturing organizations. J Organ Change Manage. 2014;27(1):5-22. [DOI:10.1108/JOCM-04-2012-0046]
27. Nistor N, Baltes B, Dascălu M, Mihăilă D, Smeaton G, Trăuşan-Matu Ş. Participation in virtual academic communities of practice under the influence of technology acceptance and community factors. A learning analytics application. Comp Hum Behav. 2014;34:339-44. [DOI:10.1016/j.chb.2013.10.051]
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Esmaeili Z, Farajollahi M, Saeedipour B, Taheri Otaghsara H. The Explanation of the Components of the E-Learning System and its Relationship with the Satisfaction of Faculty Members in Payame Noor University. Educ Strategy Med Sci. 2018; 11 (1) :157-171
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Volume 11, Issue 1 (March-April 2018) Back to browse issues page
دوماهنامه علمی- پژوهشی راهبــردهای آموزش در علوم پزشکی Education Strategies in Medical Sciences
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