Investigating the Role of Students' Attitudes, System Quality and Knowledge Management in the Behavior of Using E-Learning through the Mediation of E-Learning Acceptance

Document Type : Original Article


1 Ph.D., in Educational Administration, Department of Educational Sciences, Faculty of Literature and Humanities, Urmia University, Urmia, Iran

2 Assistant Professor, Department of Knowledge and Information Science, Azarbaijan Shahid Madani University, Tabriz, Iran

3 Associate Professor, Department of Educational Sciences, Faculty of Education and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran

4 Associate Professor, Department of Knowledge and Information Science, Azarbaijan Shahid Madani University, Tabriz, Iran


Purpose: The aim of this study was to investigate the role of students' attitudes, system quality, and knowledge management in the behavior of using e-learning through the mediation of e-learning acceptance among students of the Farhangian University of Fars Province.
Methods: This research is applied in terms of purpose and nature and a descriptive correlation based on structural equation modeling in terms of data collection province in 2021-2022 with a number of 4450 people. According to Krejcie & Morgan's table, 351 people were selected as a sample through the proportional stratified random sampling method. To measure the research variables, the standard questionnaire of
students' attitudes towards e-learning, Akbar (2013), researcher-made system quality questionnaire, Sharon Lawson's standard knowledge management questionnaire (2003), researcher-made e-learning acceptance questionnaire, and the standard questionnaire of the actual use of the e-learning system (Akbar, 2013) were used. The validity of the questionnaires was confirmed by content and structure validity methods (confirmatory factor analysis) and respectively, the reliability by Cronbach's alpha coefficient is 0.89, 0.79, 0.94, 0.82, and 0.86 was estimated and confirmed. Data were analyzed at two levels of descriptive and inferential (structural equations) using SPSS 24 and Lisrel 8.8 software.
Findings: The results indicate that among the variables of Students' Attitudes with acceptance of e-learning (β=0.52), System quality with acceptance of e-learning (β=0.89), knowledge management with acceptance of e-learning (β=0.67) and acceptance of e-learning with real use of the system (β=0.17) There is a positive and significant causal relationship. Students' Attitudes, System quality, and knowledge management mediate e-learning acceptance and indirectly affect the actual use of the e-learning system. Therefore, the mediating effect of e-learning acceptance in this study was confirmed.
Conclusions: According to the findings of this study, it can be seen that an increase in students 'attitudes, system quality, knowledge management, and acceptance of e-learning scores will be associated with an increase in students' e-learning usage behavior. According to the research findings, policymakers and university administrators are suggested to prepare the ground for real use and acceptance of e-learning in the learning process of Farhangian University by holding workshops and training courses while paying attention to the variables of the present research.


Main Subjects

Abbasi Kasani, H. & Shams Morkani, G. (2018). A research synthesis of critical success factors of e-learning: A model development. Technology of Education Journal, 13(1): 25-39.       
DOI: 10.22061/jte.2018.3061.1777. [in persian]
Adeyemi, T.O. & Olaleye, F. O. (2010). Information communication and Technology (ICT) for the effective management of secondary school for sustainable development in Ekiti state, Nigeria American-Eurasian. Journal of Science Research, 5(2): 106-113.
Ajam, A., Badnava, S., Sabery, R. & Zabihi Hesary, N. (2017). Anticipation of e-learning acceptance through nursing Students enthusiasm scale at Gonabad University of Medical Sciences in 2015. The Journal of Medical Education and Development, 11(4): 330-339.
[in persian]
Akbar, F. (2013). What affects students’ acceptance and use of technology? Senior Honors Thesis. Information Systems, Dietrich College, Carnegie Mellon University.
Akbari, N., Ayati, M., Zare Moghaddam, A. & Pourshafei, H. (2017). The effect of knowledge management process on lifelong learning literacy of foreign language teachers in secondary schools. Technology of Education Journal, 12(1): 49-58. DOI: 10.22061/jte.2018.3042.1773. [in persian]
Al-Fraihat, D., Joy, M. & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102: 67-86.
Alhabeeb, A. & Rowley, J. (2018). E-learning critical success factors: Comparing perspectives from academic staff and students. Computers and Education, 127: 1-12.
Amin Khandaghi, M. & & Kazemi Gharache, M. (2013). The effect of students' attitudes toward e-learning on their participation in the e-learning environment. Research in educational systems. Journal of Research in Educational Science, 7(21): 133-154. [in persian]
Bindhu, A. & Manohar, H.M. (2015). Review on E-Learning Effectiveness Models. International Journal of Engineering, Business and Enterprise Applications, 15(1): 83-88.
Bora, J. & Ahmed, M. (2013). E-Learning using Cloud Computing. International Journal of Science and Modern Engineering, 1(2): 9-12.
Chang, V. (2016). Review and discussion: E-learning for academia and industry. International Journal of Information Management, 36(3): 467-485.
Cheng, B., Wang, M., Mørch, A., Chen, N. & Spector, J. (2014). Research on e-learning in the workplace 2000–2012: A bibliometric analysis of the literature. Educational Research Review, 11: 56-72.
Cidral, W.A., Oliveira, T., DiFelice, M. & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers and Education, 122: 273-290.
Elahiyan Firouz, S. & Khazaei, K. (2012). The Rate of Using Components of standards in Designing Electronic Courses in Educational Contents of State-Virtual Universities in Iran. Information and Communication Technology in Educational Sciences, 2(2): 141-162.
[in persian]
Farzin Yazdi, M. & Hazeri, A. (2015). Study on Knowledge and Information Science Students Attitudes toward E-Learning (Case Study: Yazd University). Teaching and Learning Research, 12(1): 235-248. DOI: 10.22070/2.6.235. [in persian]
Gaebel, M., Kupriyanova, V., Morais, R. & Colucci, E. (2014). E-Learning in European Higher Education Institutions: Results of a Mapping Survey conducted in October-December 2013. Brussels: European University Association (EUA).
Ghalyan, S. & Zalpour, A. (2019). Identifying Factors of Success in E-Learning Case Study: Physical Education Students at Shahid Chamran University of Ahvaz. Educational Development of Judishapur, 10(2): 135-143. DOI: 10.22118/edc.2019.90842. [in persian]
Hassani Jafari, F. & Abbasi, A. (2020). Comparing e-learning in self-regulatory learning strategy and educational motivation. Technology of Education Journal, 15(1): 51-60.             
DOI: 10.22061/jte.2019.4268.2064. [in persian]
Hedayati Khoshmehr, A., Ghasemzadeh Alishahi, A. & Maleki, S. (2019). The Amount of Students’ Preparation and Professors’ Attitude towards E-learning System Implementation. Sciences and Techniques of Information Management, 4(4): 157-181. [in persian]             
DOI: 10.22091/stim.2019.3790.1275.
Jafari S. & Azmoon J. (2016). [The relation between information technology with knowledge management and communication skills of physical education teachers]. Communication Management in Sport Media, 3(3): 11-25. [in persian]
Jafarpoor, M. (2011). Study and identification of mobile commerce expansion obstacles in Iran. IT Management Studies, 1(1): 91-121. [in persian]
Kearns, L.R. (2016). Student Assessment in Online Learning: Challenges and Effective Practices. Journal of Online Learning and Teaching, 8(3): 198.
Khodadad Hoseiny, S., Noori, A. & Zabihi, M. (2013). E-learning acceptance in higher education: Application of flow theory, technology acceptance model & e-service quality. Quarterly Journal of Research and Planning in Higher Education, 19(1): 111-136. [in persian]
Khorasani, A., Abdolmaleki, J. & Zahedi, H. (2012). Factors Affecting E-Learning Acceptance among Students of Tehran University of Medical Sciences Based on Technology Acceptance Model (TAM). Iranian Journal of Medical Education, 11(6): 664-673. [in persian]
Liebenberg, J., Benade, T. & Ellis, S. (2018). Acceptance of ICT: applicability of the Unified Theory of Acceptance and Use of Technology (UTAUT) to South African students. The African Journal of Information Systems, 10(3): 160-173.
Luka, I. (2018). Summative evaluation of online language learning course efficiency for students studying tourism and hospitality management. Quality Assurance in Education, 26(4): 446-465.
Mohammadian, S. (2019). Causal model of acceptance and use of information and communication technology of Tabriz University of Medical Sciences students based on the integrated theory of acceptance and use of technology. Master Thesis. Azerbaijan Shahid Madani University.
[in persian]
Mohammadian, Sh., Ghasemzadeh Alishahi, A. & Rafiei, M. (2020). Causal Model of Acceptance and Use of Information and Communication Technology by Students of Tabriz University of Medical Sciences in Educational and Research Purposes Based on the UTAUT Model. Iranian Journal of Information Processing and management, 36(2): 391-418. [in persian]
Mtebe, J.S. & Raisamo, R. (2014). Challenges and instructors’ intention to adopt and use open educational resources in higher education in Tanzania. The International Review of Research in Open and Distributed Learning, 15(1): 171-250.
Narenjithani, F., Pourkarimi, J. & Hejazi, S. (2021). Identifying the components of e-learning system at University of Tehran. Technology of Education Journal, 15(2): 321-337.              
DOI: 10.22061/tej.2020.6130.2336. [in persian]
Ommati, E. & Alipour, A. (2016). Important elements in the design of user interface, usability and technical issues of databases during the years 2014 -2016. Journal of Modern Medical Information Scince, 2(2): 59-72. [in persian]
Persada, S.F., Miraja, B.A. & Nadlifatin, R. (2019). Understanding the Generation Z Behavior on D-Learning: A Unified Theory of Acceptance and Use of Technology (UTAUT) Approach. International Journal of Emerging Technologies in Learning, 14(5): 20-33.
Pontiggia, A. & Virili, F. (2010). Network effects in technology acceptance: Laboratory experimental evidence. International Journal of Information Management, 30(1): 68-77.
Poortavakoli, A., Alinejad, M. & Daneshmand, B. (2020). Designing a pattern for e-content development based on the factors affecting satisfaction in e-learning. Technology of Education Journal (TEJ), 15(1): 119-138. DOI: 10.22061/tej.2020.4490.2074. [in persian]
Rafiei, M., Ghaffari, H. & Khorami, M. (2017). Evaluating the Effectiveness of E-Learning Method in Human Resource Education (Case Study of Markazi Province PNU). Research in School and Virtual Learning, 4(16): 71-84. [in persian]
Rashidi, H. & Movahedin, M. (2020). The Effective Factors Model on Adoption of E-Learning System in Qazvin University of Medical Sciences. Journal of Scince & Technology Parks and Incubators, 16(64): 62-70. [in persian]
Rasmussen, J. (2016). E-learning for choral conductors: A study of how e- learning can be used to change the way we teach and learn conducting. Bachelor thesis. Stockholm: Royal College of Music.
Romi, I. (2017). A Model for e-Learning Systems Success: Systems, Determinants, and Performance. International Journal of Emerging Technologies in Learning, 12(10): 4- 20.
Sattari, A., Abdekhoda, M. & Zarea Gavgani, V. (2017). Determinant factors affecting the web–based training acceptance by health students, applying UTAUT model. International Journal of Emerging Technologies in Learning, 12(10): 112-126.
Sepasi, S. (2017). The factors affecting the adoption of information technology from the perspective of internal auditors. Financial Accounting Knowledge, 3(4): 189-215. [in persian]
Shami Zanjani, H., Niknami, M., GHourchian, N. & Nohammad Davoudi, A. (2018). Providing a Model for Continuing the Use of E-learning in Work Environments (Case study: Headquarters of the State Tax Administration). Iranian Society for Traning and Development, 5(17): 29-53. [in persian]
Tavallaee, R. (2020). Editorial: The Importance of Knowledge Management for Effective Electronic Learning in the Coronavirus Pandemic. Scientific Journal of Strategic Management of Organizational Knowledge, 3(9): 1-4. [in persian]
Violante, M.G. & Vezzetti, E. (2015). Virtual interactive e‐learning application: An evaluation of the student satisfaction. Computer Applications in Engineering Education, 23(1): 72-91.
Wu, Y. & Tsai, C. (2006). University Students’ Internet Attitudes and Internet SelfEfficacy: A Study at Three Universities in Taiwan. Mary Ann Liebert, Inc, cyberpsychology & behavior, 9(4): 441-450.
Zamanpour, E., Khani, M. & Moradiani Deizehrud, S. (2013). The effect of Computer Anxiety on Attitude towards E-Learning: The Mediating Role of Attitude and Self-Efficacy of Computer and Internet. Educational Psychology, 9(28): 78-98. [in persian]