Enhancing High School Educational Leadership through Mentorship: A Data-Driven Approach to Student Success
Abstract
This review paper examines the critical role of mentorship in enhancing high school educational leadership, particularly through the adoption of data-driven decision-making practices. It explores how mentorship can support school leaders in effectively utilizing data to improve student academic outcomes and overall well-being. The paper outlines key elements of mentorship, its impact on leadership development, and strategies for integrating mentorship with data-focused leadership approaches. Furthermore, it addresses the challenges associated with combining mentorship and data-driven leadership, offering practical recommendations for overcoming these obstacles. The findings emphasize that structured mentorship programs can bridge the gap between traditional leadership and data-based decision-making, creating more effective and responsive school environments. The paper concludes with actionable recommendations for implementing mentorship programs that promote data-driven leadership in high schools.
How to Cite This Article
Olanrewaju Awoyemi, Fadeke Adeola Atobatele, Chioma Angela Okonkwo (2024). Enhancing High School Educational Leadership through Mentorship: A Data-Driven Approach to Student Success . Journal of Frontiers in Multidisciplinary Research (JFMR), 5(1), 168-175. DOI: https://doi.org/10.54660/.IJFMR.2024.5.1.168-175