Ahmadi, S., Ghahremani, J., Abbaszadeh, Yadollah., 2021. Providing a Model for the E-Learning System of Iranian Higher Education Institutions. Quarterly Journal of Educational Leadership & Management. 15(1), pp.137-163. [in Persian]. https://dorl.net/dor/20.1001.1.27171329.1400.15.1.5.0.
Al-Fraihat, D., Joy, M. and Sinclair, J., 2017, June. Identifying success factors for e-learning in higher education. In International conference on e-learning (pp. 247-255). Academic Conferences International Limited.
Ali, S., Gulliver, S.R., Uppal, M.A. and Basir, M., 2021. Research investigating individual device preference and e-learning quality perception: can a one-solution-fits-all e-learning solution work?.
Heliyon,
7(6).
https://doi.org/10.1016/j.heliyon.2021.e07343.
Almaiah, M.A., Al-Khasawneh, A. and Althunibat, A., 2020. Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and information technologies, 25, pp.5261-5280. https://doi.org/10.1007/s10639-020-10219-y.
Arabi, S.H., Maleki, M.H. and Bahrami, H., 2023. Identifying and Prioritizing the Affecting Factors on Childbearing in Iran. Women's Strategic Studies, 25(99), pp.129-164. [in Persian].https://doi.org/10.22095/jwss.2023.402110.3259.
Arasti, Z., Sefidgar, A. and Zaefarian, R., 2015. Explanation the role of the personal, environmental and system factors on the success of entrepreneurship electronic learning in University of Tehran.
Journal of Entrepreneurship Development,
8(1), pp.61-79. [in Persian].
https://doi.org/10.22059/jed.2015.55469.
Çınar, M., Ekici, M. and Demir, Ö., 2021. A snapshot of the readiness for e-learning among in-service teachers prior to the pandemic-related transition to e-learning in Turkey.
Teaching and Teacher Education,
107, p.103478.
https://doi.org/10.1016/j.tate.2021.103478.
Clark, R.C. and Mayer, R.E., 2023. E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. john Wiley & sons.
Eli-Chukwu, N.C., Igbokwe, I.C., Ifebude, B., Nmadu, D., Iguodala, W., Uma, U., Onyeneke, R.U. and Akudo, F.U., 2023. Challenges confronting e-learning in higher education institutions in Nigeria amid Covid-19.
Journal of Applied Research in Higher Education,
15(1), pp.238-253.
https://doi.org/10.1108/JARHE-09-2021-0346.
Gelard, P., Davarzani, A.R.,2018. Structural and Cultural Factors Affecting the Establishment of E-Learning System (Case Study: Payam Noor University Units in Tehran Province), Iranian Journal of Culture in the Islamic University, 8(2), pp.273-288. [in Persian].
Habibi, A., Jahantigh, F.F. and Sarafrazi, A., 2015. Fuzzy Delphi technique for forecasting and screening items. Asian Journal of Research in Business Economics and Management, 5(2), pp.130-143. http://dx.doi.org/10.5958/2249-7307.2015.00036.5.
Hammouri, Q. and Abu-Shanab, E., 2018. Exploring factors affecting users' satisfaction toward E-learning systems.
International Journal of Information and Communication Technology Education (IJICTE),
14(1), pp.44-57.
https://doi.org/10.4018/IJICTE.2018010104.
Islam, M.A., Chittithaworn, C.H.U.T.H.A.M.A.S., Rozali, A.Z. and Liang, H., 2010. Factors affecting e-learning effectiveness in a higher learning institution in Malaysia. Jurnal Pendidikan Malaysia, 35(2), pp.51-60.
Kanwal, F. and Rehman, M., 2017. Factors affecting e-learning adoption in developing countries–empirical evidence from Pakistan’s higher education sector. Ieee Access, 5, pp.10968-10978. https://doi.org/10.1109/ACCESS.2017.2714379.
Kazem Pourian, S., Zaraii Zavaraki, E., Abdoli, S. and Moradi, M., 2017. Cloud Computing: a Solution to Improve E-Learning in Higher Education. Science and Technology Policy Letters, 7(1), pp.41-53. [in Persian]. https://dorl.net/dor/20.1001.1.24767220.1396.07.1.7.7.
Lee, Y.H., Hsieh, Y.C. and Hsu, C.N., 2011. Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems.
Journal of Educational Technology & Society,
14(4), pp.124-137.
https://www.jstor.org/stable/jeductechsoci.14.4.124.
Lee, Y.H., Hsieh, Y.C. and Ma, C.Y., 2011. A model of organizational employees’e-learning systems acceptance. Knowledge-based systems, 24(3), pp.355-366.
Mastan, I.A., Sensuse, D.I., Suryono, R.R. and Kautsarina, K., 2022. Evaluation of distance learning system (e-learning): a systematic literature review.
Jurnal Teknoinfo,
16(1), pp.132-137.
https://doi.org/10.33365/jti.v16i1.1736.
Megahed, M. and Mohammed, A., 2020. Modeling adaptive E-learning environment using facial expressions and fuzzy logic.
Expert Systems with Applications,
157, p.113460.
https://doi.org/10.1016/j.eswa.2020.113460.
Motaghian, H., Hassanzadeh, A. and Moghadam, D.K., 2013. Factors affecting university instructors' adoption of web-based learning systems: Case study of Iran.
Computers & Education,
61, pp.158-167.
https://doi.org/10.1016/j.compedu.2012.09.016.
Natasia, S.R., Wiranti, Y.T. and Parastika, A., 2022. Acceptance analysis of NUADU as e-learning platform using the Technology Acceptance Model (TAM) approach.
Procedia Computer Science,
197, pp.512-520.
https://doi.org/10.1016/j.procs.2021.12.168.
Nazari Farokhi, E., Kheirgou, M. and Askarnia, M., 2020. Identifying and ranking the success factors of using E-learning technology: A case study of Imam Ali Military University. Journal of Research on Management of Teaching in Marine Sciences, 7(2), pp.18-32. [in Persian].
Nazarpoori, A. and Tabarsa, G.A., 2014. Considering Effective Factors on Electronic Learning System Acceptance (ELS) According to Technology Acceptance Model (TAM).
Technology of Education Journal (TEJ),
9(1), pp.33-40. [in Persian].
https://dorl.net/dor/20.1001.1.20080441.1393.9.1.4.3.
Omar, A., Kalulu, D. and Alijani, G.S., 2011. Management of innovative e-learning environments. Academy of Educational Leadership Journal, 15(3), p.37.
Parusheva, S., Aleksandrova, Y. and Hadzhikolev, A., 2018. Use of Social Media in Higher Education Institutions-an Empirical Study Based on Bulgarian Learning Experience. Tem Journal, 7(1).
Pham, L., Limbu, Y.B., Bui, T.K., Nguyen, H.T. and Pham, H.T., 2019. Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam. International Journal of Educational Technology in Higher Education, 16(1), pp.1-26. https://doi.org/10.1186/s41239-019-0136-3.
Pourkrimi, J. and Ramezanpour, E., 2019. Professional development model of faculty member’s online learning: qualitative research,
6(21), pp.125-146. [in Persian].URL:
http://istd.saminatech.ir/en/Article/30510.
Rahayu, N.W., Ferdiana, R. and Kusumawardani, S.S., 2022. A systematic review of ontology use in E-Learning recommender system.
Computers and Education: Artificial Intelligence,
3, p.100047.
https://doi.org/10.1016/j.caeai.2022.100047.
Rajabi, M. and Soltani, H., 2019. Prioritizing key elements of electronic learning achievement with AHP/CFA approach at Shiraz University electronic education faculty. Journal of New Approaches in Educational Administration, 10(38), pp.237-264. [in Persian]. https://dorl.net/dor/20.1001.1.20086369.1398.10.38.11.7.
Ramírez-Correa, P.E., Arenas-Gaitán, J. and Rondán-Cataluña, F.J., 2015. Gender and acceptance of e-learning: a multi-group analysis based on a structural equation model among college students in Chile and Spain. PloS one, 10(10), p.e0140460. https://doi.org/10.1371/journal.pone.0140460.
Sajed, A.N. and Amgain, K., 2020. Corona virus disease (COVID-19) outbreak and the strategy for prevention. Europasian Journal of Medical Sciences, 2(1), pp.1-3. URL: http://nepmed.nhrc.gov.np/index.php/EJMS/article/view/836.
Shi, D., Wang, T., Xing, H. and Xu, H., 2020. A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning.
Knowledge-Based Systems,
195, p.105618.
https://doi.org/10.1016/j.knosys.2020.105618.
Singh, R., 2021, May. Cloud computing and COVID-19. In 2021 3rd International Conference on Signal Processing and Communication (ICPSC) (pp. 552-557). IEEE. https://doi.org/10.1109/ICSPC51351.2021.9451792.
Smith, S.H., Samors, R. and Mayadas, A.F., 2008. Positioning Online Learning as a Strategic Asset in the Thinking of University Presidents and Chancellors.
Journal of Asynchronous Learning Networks,
12(2), pp.91-100. URL:
https://www.learntechlib.org/p/104071/.
Son, B., 2016. Innovative Collaborative Learning Strategies for Integrated Interactive E-Learning in the 21st Century. International Association for Development of the Information Society.
Stanković, M., Stević, Ž., Das, D.K., Subotić, M. and Pamučar, D., 2020. A new fuzzy MARCOS method for road traffic risk analysis.
Mathematics,
8(3), p.457.
https://doi.org/10.3390/math8030457.
Sun, P.C., Tsai, R.J., Finger, G., Chen, Y.Y. and Yeh, D., 2008. What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction.
Computers & education,
50(4), pp.1183-1202.
https://doi.org/10.1016/j.compedu.2006.11.007.
Tamm, S., 2020.100 Essential E-Learning Statistics for 2021. Available at: https://e-student.org/e-learning-statistics/.Accessed January 22, 2021.
Viner, R.M., Russell, S.J., Croker, H., Packer, J., Ward, J., Stansfield, C., Mytton, O., Bonell, C. and Booy, R., 2020. School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review.
The Lancet Child & Adolescent Health,
4(5), pp.397-404.
https://doi.org/10.1016/S2352-4642(20)30095-X.
Zare Bahnamiri, M.J., Maleki, M.H., Hasankhani, F. and Ramsheh, M., 2023. A Framework for Identifying and Analyzing Key Drivers Affecting Future of Auditing in Iran with a Focus on Blockchain Technology.
Empirical Research in Accounting,
13(3).
https://doi.org/10.22051/jera.2023.41640.3047. [in Persian].
