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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.
Sharif-Nia, Hamid; Arslan, Gökmen; Reardon, Jonathan; Allen, Kelly-Ann; Ma, Lan; She, Long; Hoseinzadeh, Esmaeil; Rahmatpour, Pardis; Moradi, Siavash; Fomani, Fatemeh Khoshnavay; Ghahrani, Nassim.
Afiliação
  • Sharif-Nia H; Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran.
  • Arslan G; Department of Nursing, Amol Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran.
  • Reardon J; Department of Psychological Counseling, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
  • Allen KA; Durham University, Durham, UK.
  • Ma L; School of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Victoria, Australia.
  • She L; Centre for Wellbeing Science, Faculty of Education, University of Melbourne, Parkville, Victoria, Australia.
  • Hoseinzadeh E; Sunway Business School, Sunway University, Sunway City, Selangor, Malaysia.
  • Rahmatpour P; Sunway Business School, Sunway University, Sunway City, Selangor, Malaysia.
  • Moradi S; Department of Nursing, Faculty of Medical Sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
  • Fomani FK; School of Nursing, Alborz University of Medical Sciences, Karaj, Iran.
  • Ghahrani N; Community Medicine Specialist, Education Development Center, Mazandaran University of Medical Sciences, Sari, Iran.
Nurs Open ; 11(3): e2130, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38486130
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes de Enfermagem / Educação a Distância Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Nurs Open / Nurs. open / Nursing open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes de Enfermagem / Educação a Distância Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Nurs Open / Nurs. open / Nursing open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irã