Document Type : Original Research Paper


1 , Department of Industrial and Technology Management, Farabi Campus, University of Tehran. Tehran. Iran

2 Business Administration, Farabi Campus, University of Tehran. Tehran. Iran


Electronic Commerce and E learning is one of the requirements of today’s business.  Information communication technology development, cultural communication development, rapid scientific-technological development, target population extension that needs high quality education services are some of these requirements. The aim of this study is to identify the affecting factors on E-learning, quality, in aspect of virtual students’ perspective. For this purpose by literature review, we extracted the affecting factors on E-learning quality. Then Researcher made questionnaire distributed among 112 University students of Tehran University virtual students at computational courses. The criteria’s assessment was used by Likert continuum. Then collected data were analyzed by SPSS software. Questionaries’ reliability (by Cronbach Alpha) and validity (by average variance explained) were confirmed. Then the research questions were analyzed by using Non Parametric Kolmogrov-Smironov, Binomial, mean of the ranks and Mann-Whitney test. The results reveal that Tehran University students believed that "quality infrastructure", "teacher" & "technological factors" have been identified in the first phase of this study.  In addition, there aren’t any significant attitudes between Farabi & Faculty of management of the University of Tehran.  Developing a new E-learning quality assessment model is one of the researchers’ initiations. Also lack of deep view to observed phenomena because of quantity approaches is one of the researchers’ limitations.


Main Subjects

Docebo E-Learning Market Trends & Forecast 2014 - 2016 Report. Retrieved in: https:// landing/contactform/ elearning-market-trends-and-forecast-2014-2016-docebo-report.pdf. (2014).
Radhakrishnan, V., & Arumugam, J. Pros and cons of virtual learning system: A study. Indian Journal of Science, Vol. 21, No.73, pp. 463-466. (2015).
Harasim, L. Shift happens online education as a new paradigm in learning, The Internet & Higher Education. (2000).
Mansouri, S. Ryazi, K. Assessing valuechain in e learning industry & presenting optimum model (the case of a college located in Tehran), Information Technology Management, Vol. 5, No. 3, pp. 191-202.(2012). [In Persian].
Fresena, J. W. & Boyd, L. G. Caught in the web of quality, International Journal of Educational Development, pp. 317–331. (2005).
Seraji, F. Presenting a framework in academic eLearning quality, 5th higher education conference, University of Tehran.(2011), [in Persian].
Golzari, Z. et al. Assessment model of E-learning for higher education, Journal of American Science. (2011).
Benson Soong, M.H. et al. Critical success factors for on-line course resources, Computers & Education, No. 36, pp. 101-120. (2001).
Selim, H. M. Critical success factors for e-learning acceptance: Confirmatory factor models, Computers & Education, No. 49, pp. 396–413. (2007).
Toluie Ashlaghi, A. et al. Internet Based Distance Education Quality Assessment in Iranian Virtual Universities. Journal of Basic & Applied Scientific Research, pp. 39-44. (2013).[in Persian].
Jung, I. The dimensions of e-learning quality: from the learner’s Perspective, Education Tech Research Dev, No. 59, pp. 445–464. (2011).
Shee, D. Y. Wang, Y-Sh. Multi-criteria evaluation of the web-based e-learning system: A methodology based on learner satisfaction & its applications, Computers & Education,. No. 50, pp. 894–905. (2008).
Anarinezhad, A. Saketi, P. Safavi, S. Designing a conceptual framework to higher education ELearning assessment, Journal of Research in Teaching Technology, Vol. 4, No. 3, pp. 21-39. (2010).
Jill W. Fresen. Taxonomy of Factors to Promote Quality Web-Supported Learning. International Journal on E-Learning, Vol. 6, No. 3, pp. 351-362. (2007).
Bhuasiri, w. et al. Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts & faculty, pp. 843–855. (2012)
Mohamadi, R. et. al. Assessing higher education in Iran (4 rd), Sazman Sanjesh Amouzesh keshvar, Tehran, Iran. (2010). [In Persian].
Golzari, Z. et, al. Validating internal ELearning in Iran higher education, Journal of Higher Education Curriculum Studies, No.1, pp. 160-185, (2009). [in Persian].
Volery, T. Lord, D. Critical success factors in online education. The International Journal of Educational Management, pp. 216-223. (2000).
Govindasamy, T. Successful implementation of e-Learning Pedagogical considerations, Internet & Higher Education, No. 4, pp. 287–299. (2002).
Hadadian, A. Evaluation of Elearning in Iran at Globalization era.Strategic Studies Globalization Journal. Vol. 2, No.4, pp.117-147. ( 2011). [In Persian].
Wang, Y-Sh. et al. Measuring e-learning systems success in an organizational context: Scale development & validation, Computers in Human Behavior, No. 23, pp. 1792–1808. (2007).
Hanafizadeh, P. Hanafizadeh, M.Hedayati, S-R.. Designing Iranian Highier Education & Universities Elearning Readuness, Quarterly Journal of Research & Planning in Higher Education, No. 48, pp. 13-137. (2009). [In Persian].
Hosseini, S- Y. Raghibzadeh, A. The Effect of E-readiness on Organizational ‎Forgetting, Vol. 6, No. 2, pp. 187-208. (2014). [In Persian].
Imami, H. Investigating e learning sucssess & readiness in medical learning groups, Hospital Quarterly, No. 3, pp. 57-67. (2010). [in Persian].
Katz, Y. J. Attitude’s affecting college students' preferences for distance learning, Journal of Computer Assisted Learning. 2002.
Rezaee rad, M. Identifying the success factor in e-learnings programs. Research CURRICULUM Planning, Vol. 9, No.6, pp. 67-81. (2013).
Mosakhani, M. & Jamporazmey, M. Introduce Critical Success Factors (CSFs) of eLearning for Evaluating E-Iearning Implementation Success, International Conference on Educational & Information Technology. (2010).
Asgharizadeh, E. Momeni, M. Ghasemi, A. R.  Performance Measurement, past view, present & the next challenges, Management Transformation, No. 1. pp. 29-49. [In Persian].
Mansourfar, K. Advanced Statistic Method by Computer Analysis, University of Tehran Publication, (First Edition), Tehran, Iran. (2006), [in Persian].
Sarmad, Z., A. Bazargan & E. Hejazi. Research methods in behavioral sciences. Tehran. Agah Publications. 12th Edition. (2007). [in Persian].
Ozkan, S. Koseler, R. Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation, Computers & Education, (2009), Vol. 53, pp. 1285–1296.
Sun, P-C. et al. What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction, Computers & Education, No. 50, pp. 1183–1202.
Tzeng, G-H. et. al. Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis & DEMATEL, Expert Systems with Applications, No. 32, pp. 171–199. (2009).