The impact of student computer competency on e‐learning outcomes: A path analysis model of virtual learning infrastructure, collaboration, and access to electronic facilities

Author:

Sharif‐Nia Hamid12ORCID,Arslan Gökmen3,Reardon Jonathan4,Allen Kelly‐Ann56,Ma Lan7,She Long7ORCID,Hoseinzadeh Esmaeil8,Rahmatpour Pardis9ORCID,Moradi Siavash10,Fomani Fatemeh Khoshnavay11,Ghahrani Nassim12

Affiliation:

1. Education Development Center Mazandaran University of Medical Sciences Sari Iran

2. Department of Nursing, Amol Faculty of Nursing and Midwifery Mazandaran University of Medical Sciences Sari Iran

3. Department of Psychological Counseling Burdur Mehmet Akif Ersoy University Burdur Turkey

4. Durham University Durham UK

5. School of Educational Psychology and Counselling, Faculty of Education Monash University Clayton Victoria Australia

6. Centre for Wellbeing Science, Faculty of Education University of Melbourne Parkville Victoria Australia

7. Sunway Business School Sunway University Sunway City Selangor Malaysia

8. Department of Nursing, Faculty of Medical Sciences, Gorgan Branch Islamic Azad University Gorgan Iran

9. School of Nursing Alborz University of Medical Sciences Karaj Iran

10. Community Medicine Specialist, Education Development Center Mazandaran University of Medical Sciences Sari Iran

11. School of Nursing and Midwifery Tehran University of Medical Sciences Tehran Iran

12. Mazandaran University of Medical Sciences Sari Iran

Abstract

AbstractAimThis 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.DesignA cross sectional study.MethodA 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.ResultsThe 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.

Publisher

Wiley

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