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

Autor: Sharif-Nia H; Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran.; Department of Nursing, Amol Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran., Arslan G; Department of Psychological Counseling, Burdur Mehmet Akif Ersoy University, Burdur, Turkey., Reardon J; Durham University, Durham, UK., Allen KA; School of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Victoria, Australia.; Centre for Wellbeing Science, Faculty of Education, University of Melbourne, Parkville, Victoria, Australia., Ma L; Sunway Business School, Sunway University, Sunway City, Selangor, Malaysia., She L; Sunway Business School, Sunway University, Sunway City, Selangor, Malaysia., Hoseinzadeh E; Department of Nursing, Faculty of Medical Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran., Rahmatpour P; School of Nursing, Alborz University of Medical Sciences, Karaj, Iran., Moradi S; Community Medicine Specialist, Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran., Fomani FK; School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran., Ghahrani N; Mazandaran University of Medical Sciences, Sari, Iran.
Jazyk: angličtina
Zdroj: Nursing open [Nurs Open] 2024 Mar; Vol. 11 (3), pp. e2130.
DOI: 10.1002/nop2.2130
Abstrakt: 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.)
Databáze: MEDLINE
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