Nursing Open (Mar 2024)

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

  • Hamid Sharif‐Nia,
  • Gökmen Arslan,
  • Jonathan Reardon,
  • Kelly‐Ann Allen,
  • Lan Ma,
  • Long She,
  • Esmaeil Hoseinzadeh,
  • Pardis Rahmatpour,
  • Siavash Moradi,
  • Fatemeh Khoshnavay Fomani,
  • Nassim Ghahrani

DOI
https://doi.org/10.1002/nop2.2130
Journal volume & issue
Vol. 11, no. 3
pp. n/a – n/a

Abstract

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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.

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