Background
The COVID-19 pandemic jeopardized the traditional academic learning calendars due to the closing of all educational institutions across the globe. To keep up with the flow of learning, most of the educational institutions shifted toward e-learning. However, the students’ e-learning preference and e-learning readiness did not identify, particularly among the Bangladeshi female nursing students, where those can pose serious challenges. A cross-sectional study was carried out among the female nursing students between December 26, 2020, and January 11, 2021. A total of 237 students were recruited who have enrolled in e-learning at least the last 30 days of the participation. Multivariable linear regression models were fitted to find the association of students’ preference, e-learning readiness domains, and other variables.
Results
A cross-sectional study was conducted among the female nursing students to assess perceived e-learning readiness in the subdomains of readiness; availability, technology use, self-confidence, acceptance and training. The findings of the study revealed that the prevalence of preference for e-learning was 43.46%. The students did not prefer e-learning compared to ‘prefer group’ has significantly less availability of technology (β = − 3.01, 95% CI − 4.46, − 1.56), less use of technology (β = − 3.08, 95% CI − 5.11, − 1.06), less self-confidence (β = − 4.50, 95% CI − 7.02, − 1.98), less acceptance (β = − 5.96, 95% CI − 7.76, − 4.16) and less training need (β = − 1.86, 95% CI − 2.67, − 1.06). The age, degree, residence, parents’ highest education, having a single room, and having any eye problems were significantly associated with the variation of availability of technology, use of technology, self-confidence, acceptance, and training need of e-learning.
Conclusions
The outcomes of the study could be helpful while developing an effective and productive e-learning infrastructure regarding the preparedness of nursing colleges for the continuation of academia in any adverse circumstances like the COVID-19 pandemic.