A Multisite Survey of E-learning Readiness and Academic Performance among Nursing Students in Saudi Arabia
Published: October 1, 2022 | DOI: https://doi.org/10.7860/JCDR/2022/58107.17050
Adnan Innab, Naji Alqahtani, Ghareeb Bahari, Alkadi Alshammari, Ali Kerari, Mohammad K Alharbi
1. Assistant Professor, Department of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
2. Assistant Professor, Department of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
3. Assistant Professor, Department of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
4. Assistant Professor, Department of Community, Psychiatric, and Mental Health Nursing, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
5. Assistant Professor, Department of Medical Surgical Nursing, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
6. Assistant Professor, Department of Nursing Administration and Education, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
Correspondence
Adnan Innab,
Assistant Professor, Department of Nursing Administration and Education Department at College of Nursing, King Saud University, Riyadh, Saudi Arabia.
E-mail: ainnab@ksu.edu.sa
Introduction: Determining students’ readiness for e-learning is critical to implementing more effective education and performance. Nursing education in Saudi Arabia continues to struggle with a shortage of technical tools to enable teaching and acquiring critical nursing skills.
Aim: To assess the level of e-learning readiness and academic performance and their association in nursing students and to determine the factors associated with e-learning readiness and academic performance.
Materials and Methods: A cross-sectional, multisite study was conducted on a convenience sample of nursing students (N=139) attending nursing programs from multiple public and private universities in Saudi Arabia. A structured questionnaire was used for data collection from May 2020 to August 2020. Multivariate analyses were run using Statistical Package for Social Sciences (SPSS).
Results: The mean age of the study participants was 27.3±6.34 years. The total average of e-learning readiness was 4.16 (SD=0.54). Bivariate analyses showed that age was associated with both e-learning readiness (r=0.175, p=0.03) and academic performance (r=0.341, p<0.001). Employment status, level of education, and previous experience with e-learning displayed significant association with e-learning readiness (p<0.05). In multivariate analyses, only previous experience with e-learning had positive influence on students e-learning readiness (β=0.188, p<0.05). Technology access subscale (β=0.206, p<0.05) and level of education (β=0.323, p<0.05) had both positive impacts on students’ academic performance.
Conclusion: The e-learning readiness score was high among the nursing students, especially if they were employed or had previous experience with it. Access to technology improved students’ academic performance. The current e-learning mechanism may need some developments in order to meet students’ different needs.
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