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The Impact of Student Computer Competency on E-Learning Outcomes: A Path Analysis Model of Virtual Learning Infrastructure, Collaboration, and Access to Electronic Facilities Publisher Pubmed



Sharifnia H1, 2 ; Arslan G3 ; Reardon J4 ; Allen KA5, 6 ; Ma L7 ; She L7 ; Hoseinzadeh E8 ; Rahmatpour P9 ; Moradi S10 ; Fomani FK11 ; Ghahrani N12
Authors
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Authors Affiliations
  1. 1. Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran
  2. 2. Department of Nursing, Amol Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
  3. 3. Department of Psychological Counseling, Burdur Mehmet Akif Ersoy University, Burdur, Turkey
  4. 4. Durham University, Durham, United Kingdom
  5. 5. School of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, VIC, Australia
  6. 6. Centre for Wellbeing Science, Faculty of Education, University of Melbourne, Parkville, VIC, Australia
  7. 7. Sunway Business School, Sunway University, Selangor, Sunway City, Malaysia
  8. 8. Department of Nursing, Faculty of Medical Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran
  9. 9. School of Nursing, Alborz University of Medical Sciences, Karaj, Iran
  10. 10. Community Medicine Specialist, Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran
  11. 11. School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
  12. 12. Mazandaran University of Medical Sciences, Sari, Iran

Source: Nursing Open Published:2024


Abstract

Aim: This study explored the influence of student computer competency on e-learning outcomes among Iranian nursing students and examined its mediating role in the relationship between virtual learning infrastructure, student collaboration, access to electronic facilities, and e-learning outcomes. Design: A cross sectional study. Method: A self-administered online survey was used from August to October 2022, with a sample size of 417 nursing students selected through convenience sampling. Descriptive statistics, correlation analyses, and PROCESS macro v4.1 (Model 4) were used for data analysis. Results: The results revealed that virtual learning infrastructure, access to electronic facilities, and student collaboration, significantly predict student computer competency and e-learning outcomes. Virtual learning infrastructure and access to electronic facilities were found to be the strongest predictors of student computer competency, while student collaboration had a smaller but still significant effect. Student computer competency was found to mediate the relationship between virtual learning infrastructure, access to electronic facilities, student collaboration, and e-learning outcomes. © 2024 The Authors. Nursing Open published by John Wiley & Sons Ltd.