[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
Registered in

AWT IMAGE

AWT IMAGE

..
Open Access Policy
..
:: Volume 14, Issue 2 (2022) ::
RME 2022, 14(2): 9-20 Back to browse issues page
The Role of Student Characteristics, Content Quality and Knowledge Management in Using E-Learning by Medical Students through Mediation of E-Learning Acceptance (Case Study: Shiraz University of Medical Sciences)
M Razzaghi * , H Ghalavandi , M Hasani
Ph. D Student in Educational Administration, Department of Educational Sciences, Faculty of Literature and Humanities, Urmia University, Urmia, Iran , m.razzaghi4673@gmail.com
Abstract:   (1580 Views)
Introduction: Considering the importance of using e- learning in the medical education system, this study aims to investigate the role of students' characteristics, content quality and knowledge management in using  e- learning system through the mediation of e-learning acceptance among students of Shiraz University of Medical Sciences.
Methods: In terms of purpose and nature, this research is applied and in terms of data collection, it is a descriptive correlation based on structural equation modeling. The statistical population of the study consisted of 4064 students of all undergraduate students of Shiraz University of Medical Sciences. 351 people were selected as a sample through Morgan table by  proportional stratified random sampling method. Data collection tools in the variables of student characteristics, content quality, actual use of the system and learning acceptance was a 21-item researcher-made questionnaire and in the knowledge management variable was a standard 24-item questionnaire. The validity of the questionnaires was confirmed by logical (formal and content) and construct validity (confirmatory factor analysis) and the reliability of the questionnaires was confirmed by Cronbach's alpha method. Data were analyzed at two levels of descriptive (frequency, mean, standard deviation) and inferential (structural equations) using SPSS  and Lisrel software.
Results: The results indicate that among the variables of students' characteristics with acceptance of e-learning (β= 0.65), content quality with acceptance of e-learning (β= 0.42), knowledge management with acceptance of e- learning (Β =0.51) and acceptance of e- learning with real use of the system (β= 0.13) There is a positive and significant causal relationship. Student characteristics, content quality and knowledge management mediate e- learning acceptance indirectly affect the actual use of the e- learning system. Therefore, the mediating effect of e- learning acceptance in this study was confirmed.
Conclusion: Based on findings of this study, it can be seen that an increase in the scores of student characteristics, content quality, knowledge management and acceptance of e- learning will be associated with an increase of using e- learning among the students. According to the research findings, it is suggested to policy makers and university administrators by holding workshops and training courses, considering the variables of the present research, to prepare the ground for real use and acceptance of e- learning in the learning process of the University of Medical Sciences.
 
Keywords: Characteristics of Students, Content Quality, Knowledge Management, Usage Behavior, Acceptance, E-learning, Medical Students
Full-Text [PDF 458 kb]   (362 Downloads)    
Type of Study: Research | Subject: Educational technology, e-Learning,Virtual Education
References
1. Alipour N, Noroozi D, Nourian M. [Designing a model of components affecting the quality of e- learning environments]. Technology of Education Journal 2020; 15 (3): 503- 518. [Persian]
2. Al-Fraihat D, Joy M, Sinclair J. Evaluating E- learning systems success: An empirical study. Computers in Human Behavior 2020; 102: 67- 86. [DOI:10.1016/j.chb.2019.08.004]
3. Luka I. Summative evaluation of online language learning course efficiency for students studying tourism and hospitality management. Quality Assurance in Education 2018; 26 (4): 446- 465. [DOI:10.1108/QAE-04-2018-0051]
4. Ajam A, Badnava S, Sabery R, Zabihi Hesary N. [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 2017; 11 (4): 330- 339. [Persian] [DOI:10.18869/acadpub.rme.8.4.11]
5. Khorasani A, Abdolmaleki J, Zahedi H. [Factors Affecting E- Learning Acceptance among Students of Tehran University of Medical Sciences Based on Technology Acceptance Model (TAM)]. Iranian Journal of Medical Education 2012; 11 (6): 664- 673. [Persian]
6. Ibrahim A, Adu- Gyamfi M, Kassim BA. Factors Affecting the Adoption of ICT by Administrators in the University for Development Studies Tamale: Empirical Evidence from the UTAUT Model. International Journal of Sustainability Management and Information Technologies 2018; 4 (1): 1- 9. [DOI:10.11648/j.ijsmit.20180401.11]
7. Elahiyan Firouz S, Khazaei K. [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 2012; 2 (6): 141- 162. [Persian]
8. Chang V. Review and discussion: E- learning for academia and industry. International Journal of Information Management 2016; 36 (3): 476- 485. [DOI:10.1016/j.ijinfomgt.2015.12.007]
9. Cheng B, Wang M, Mørch A, Chen N, Spector J. Research on e-learning in the workplace 2000- 2012: A bibliometric analysis of the literature. Educational Research Review 2014; 11: 56- 72. [DOI:10.1016/j.edurev.2014.01.001]
10. Rasmussen J. E- learning for choral conductors: A study of how e- learning can be used to change the way we teach and learn conducting. Stockholm: Royal College of Music; 2016.
11. Alzu'bi MAM. The Degree of Applying E- Learning in English Departments at Al- Balqa Applied University from Instructors' Perspectives. Turkish Online Journal of Educational Technology-TOJET 2018; 17 (1): 192- 196.
12. Enabulele JE, Obuekwe O N. Prevalence of caries and cervical resorption on adjacent second molar associated with impacted third molar. Journal of oral and maxillofacial surgery, medicine, and pathology 2017; 29 (4): 301- 305. [DOI:10.1016/j.ajoms.2017.01.002]
13. Aworanti O A. Information and Communications Technology (ICT) in Nigeria Educational Assessment System- Emerging Challenges. Universal Journal of Educational Research 2016, 4 (6): 1351- 1356. [DOI:10.13189/ujer.2016.040612]
14. Kocaleva M, Stojanovic I, Zdravev Z. Research on UTAUT application in higher education institutions. International Conference on Information Technology and Development of Education- ITRO; 2014 Jun ; Zrenjanin: Republic of Serbia; 2014.
15. Akbar F. What affects students' acceptance and use of technology[dissertation]. Dietrich College, Carnegie Mellon University; 2013.
16. Pontiggia A, Virili F. Network effects in technology acceptance: Laboratory experimental evidence. International Journal of Information Management 2010; 30 (1): 68- 77. [DOI:10.1016/j.ijinfomgt.2009.07.001]
17. Sattari A, Abdekhoda M, Zarea Gavgani V. Determinant factors affecting the web- based training acceptance by health students, applying UTAUT model. International Journal of Emerging Technologies in Learning 2017; 12 (10): 112- 126. [DOI:10.3991/ijet.v12i10.7258]
18. Liebenberg J, Benade T, Ellis S. 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 2018; 10 (3): 160- 173.
19. Attuquayefio S, Addo H. Using the UTAUT model to analyze students' ICT adoption. International Journal of Education and Development using ICT; 2014, 10 (3): 75- 86.
20. Cidral WA, Oliveira T, DiFelice M, Aparicio M. E- learning success determinants: Brazilian empirical study. Computers and Education 2018; 122: 273- 290. [DOI:10.1016/j.compedu.2017.12.001]
21. Poortavakoli A, Alinejad M, Daneshmand B. [Designing a pattern for e- content development based on the factors affecting satisfaction in e- learning]. Technology of Education Journal 2020; 15 (1): 119- 138. [Persian]
22. Mirzabeygi M, Kharazi K, Mosavi A. [Designing an electronic content pattern model based on the cognitive approach for theoretical courses with emphasis on human sciences in higher education]. Quarterly curriculum studies 2009; 3 (12): 71- 99. [Persian]
23. Abbasi Kasani H, Shams G. [A research synthesis of critical success factors of e-learning: A model development]. Technology of Education Journal 2018; 13 (1): 25- 39. [Persian]
24. Akbari N, Ayati M, Zare Moghaddam A, Pourshafei H. [The effect of knowledge management process on lifelong learning literacy of foreign language teachers in secondary schools]. Technology of Education Journal (TEJ) 2017; 12 (1): 49- 58. [Persian]
25. Mohammadian S, Ghasemzadeh Alishahi A, Rafiei M. [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 2020; 36 (2): 391- 418. [Persian]
26. Khatib Zanjani N, Ajam A, Badnava S. [Determining the Relationship Between Self-directed Learning Readiness and Acceptance of E- learning and Academic Achievement of Students]. Iran Journal of Nursing; 2017; 30 (106): 11- 22. [Persian] [DOI:10.29252/ijn.30.106.11]
27. Rashidi H, Movahedin M. [The Effective Factors Model on Adoption of E- Learning System in Qazvin University of Medical Sciences]. Roshd-e-Fanavari 2020; 16 (64): 62- 70. [Persian] [DOI:10.52547/jstpi.20929.16.64.62]
28. Persada S F, Miraja B A, Nadlifatin R. 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 2019;14 (5): 20-33. [DOI:10.3991/ijet.v14i05.9993]
29. Ojaghi N, Esmaeili Z, Sarmadi MR, Saeidipour B. [Explaining student retention based on psychological characteristics, previous experiences, academic background, management and computer skills in the e-learning environment]. Technology of Education Journal 2019; 13 (3); 618- 625. [Persian]
30. Brindley J E. Learner support in online distance education: Essential and evolving. Online distance education. Towards a research agenda 2014:287-310.
31. Farazkish M, Montazer G. [Assessment of students' perceptual readiness for e- learning in Iranian Universities]. Technology of Education Journal 2020; 15 (1); 101- 117. [Persian]
32. Tunali S. Schools of the future in globalized society: forecasting via scenario development method in Turkish Schools [dissertation]. Ankara: Middle East Technical University 2014.
33. Van Rooj S. [Instructional design and project management: complimentary or divergent?]. Educational Technology Research and Development 2011; 59 (1); 139- 158. [DOI:10.1007/s11423-010-9176-z]
34. Tavallaee R. [Editorial: The Importance of Knowledge Management for Effective Electronic Learning in the Coronavirus Pandemic]. Scientific Journal of Strategic Management of Organizational Knowledge 2020; 3 (2): 1- 4. [Persian]
35. Narenjithani F, pourkarimi J, Hejazi S. [Identifying the components of e- learning system at University of Tehran]. Technology of Education (TEJ) 2021; 15 (2): 321- 337. [Persian]
36. Mtebe J-S, Raisamo R. 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 2014;15 (1); 249- 271. [DOI:10.19173/irrodl.v15i1.1687]
37. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 1989; 13 (3): 319-340. [DOI:10.2307/249008]
38. Shami Zanjani H, Niknami M, GHourchian N, Nohammad Davoudi AH. [Providing a Model for Continuing the Use of E-learning in Work Environments (Case study: Headquarters of the State Tax Administration)]. Journal of Training and Development of Human Resources 2018; 5 (17): 29- 53. [Persian]
39. Jafari S, Azmoon J. [The relation between information technology with knowledge management and communication skills of physical education teachers]. Communication Management in Sport Media 2016; 3 (3); 11- 25. [Persian]
Send email to the article author



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Razzaghi M, Ghalavandi H, Hasani M. The Role of Student Characteristics, Content Quality and Knowledge Management in Using E-Learning by Medical Students through Mediation of E-Learning Acceptance (Case Study: Shiraz University of Medical Sciences). RME 2022; 14 (2) :9-20
URL: http://rme.gums.ac.ir/article-1-1147-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 14, Issue 2 (2022) Back to browse issues page
پژوهش در آموزش علوم پزشکی Research in Medical Education