Academic resilience of nursing students during COVID‐19: An analysis using machine learning methods
Zhu Liduzi Jiesisibieke,
Mao Ye,
Weifang Xu
et al.
Abstract:AimThis cross‐sectional study investigates the factors that contribute to academic resilience among nursing students during COVID‐19 pandemic.DesignA cross‐sectional study.MethodsA survey was conducted in a general hospital between November and December 2022. The Nursing Student Academic Resilience Inventory (NSARI) model was used to assess the academic resilience of 96 nursing students. The Boruta method was then used to identify the core factors influencing overall academic resilience, and rough set analysis… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.