Leveraging Data-Driven Curriculum Optimization to Improve Students' Course Performance Metrics in Healthcare Management Education

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 DOI: https://doi.org/10.5281/zenodo.15433828 Paper Download Link (Source) https://www.researchpublish.com/papers/leveraging-data-driven-curriculum-optimization-to-improve-students-course-performance-metrics-in-healthcare-management-education

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15433828
Primary Topic
Online Learning and Analytics
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article
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article

Leveraging Data-Driven Curriculum Optimization to Improve Students' Course Performance Metrics in Healthcare Management Education

Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

Leveraging Data-Driven Curriculum Optimization to Improve Students' Course Performance Metrics in Healthcare Management Education

article en

Abstract

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 DOI: https://doi.org/10.5281/zenodo.15433828 Paper Download Link (Source) https://www.researchpublish.com/papers/leveraging-data-driven-curriculum-optimization-to-improve-students-course-performance-metrics-in-healthcare-management-education

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 46%
Online Learning and Analytics
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