Abstract: This study examined the impact of data-driven curriculum optimization on student outcomes in an online undergraduate healthcare management program, with a sample of N=200 students. Using a quasi-experimental design, the research analyzed course performance metrics, course completion rates, and student engagement before and after the implementation of analytics-informed curriculum revisions. The first research question assessed whether the optimization improved final course grades. A one-way ANOVA revealed a statistically significant improvement in final grades [F(1, 198) = 5.72, p = 0.018)], indicating that students performed better following curriculum optimization.
The second research question focused on the impact of optimization on course completion rates. A Chi-square test showed a significant increase in completion rates post-optimization [(χ²(1) = 8.45, p = 0.004)], suggesting that more students completed the course after curriculum revisions.
The third research question examined the relationship between student engagement with optimized course components and academic performance. Correlation and regression analyses revealed a strong, positive relationship [(r = 0.62, p < 0.001)], with student engagement significantly predicting higher academic performance. These findings underscore the value of leveraging learning analytics and adaptive course design in supporting academic success and persistence among online learners. The study contributes to growing evidence advocating for intentional, data-informed curriculum strategies to enhance student outcomes in health education.
Keywords: data-driven curriculum, learning analytics, healthcare management education, student engagement, online learning, adaptive learning.
Title: Leveraging Data-Driven Curriculum Optimization to Improve Students’ Course Performance Metrics in Healthcare Management Education
Author: Dr. David Augustine Bull
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
Vol. 13, Issue 2, April 2025 - June 2025
Page No: 21-34
Research Publish Journals
Website: www.researchpublish.com
Published Date: 16-May-2025
