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

Sharif-Nia H 1 , Arslan G 2 , Reardon J 3 , Allen KA 4 , Ma L 5 , She L 5 Show all authors , Hoseinzadeh E 6 , Rahmatpour P 7 , Moradi S 8 , Fomani FK 9 , Ghahrani N 10

Affiliations 

  • 1 Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran
  • 2 Department of Psychological Counseling, Burdur Mehmet Akif Ersoy University, Burdur, Turkey
  • 3 Durham University, Durham, UK
  • 4 School of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Victoria, Australia
  • 5 Sunway Business School, Sunway University, Sunway City, Selangor, Malaysia
  • 6 Department of Nursing, Faculty of Medical Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran
  • 7 School of Nursing, Alborz University of Medical Sciences, Karaj, Iran
  • 8 Community Medicine Specialist, Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran
  • 9 School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
  • 10 Mazandaran University of Medical Sciences, Sari, Iran
Nurs Open, 2024 Mar;11(3):e2130.
PMID: 38486130 DOI: 10.1002/nop2.2130

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

MeSH terms
Similar publications