Effect of Online Classes on Academic Performance of Nursing Mothers in Public Universities in Rivers State
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Abstract
Background and Aims: Nursing mothers in public universities often face significant challenges in balancing academic responsibilities with childcare duties, which can negatively affect their participation and academic performance. The emergence of online learning offers a flexible alternative that may help address these constraints by enabling continuous engagement in academic activities. This study examined the effect of online classes on the academic performance of nursing mothers in public universities in Rivers State, Nigeria.
Methodology: A survey research design was adopted. The study population comprised nursing mothers at public universities in Rivers State, from whom 103 respondents were selected using snowball sampling. Data were collected using a self-structured questionnaire, while academic performance was measured using students’ CGPA. The instrument was validated and yielded a reliability coefficient of 0.93. Data analysis involved mean, standard deviation, logistic regression, and a z-test at a 0.05 level of significance.
Results: The findings revealed that online classes enhance academic performance by promoting personalized learning and improving access to academic materials. However, challenges such as poor time management, inadequate infrastructure, and limited technological skills were identified. Logistic regression analysis showed a significant relationship between online learning variables and academic performance, with digital skillfulness, access to devices, and engagement time as key predictors. Additionally, no significant difference was found between married and single nursing mothers regarding perceived benefits and challenges.
Conclusion: The study concluded that online learning positively influences the academic performance of nursing mothers by providing flexibility and opportunities for personalized learning. Nevertheless, its effectiveness depends on access to digital resources, technological competence, and supportive infrastructure, which must be improved to maximize its benefits.
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