Data-Driven Decision Making, Resource Allocation Management, and Professional Development on the Curriculum Implementation Practices of School Administrators
Authors
Graduate Student, Department of Professional Education, College of Education, Central Mindanao University, Musuan, Maramag, Bukidnon (Philippines)
Faculty, Department of Professional Education, College of Education, Central Mindanao University, Musuan, Maramag, Bukidnon (Philippines)
Article Information
DOI: 10.47772/IJRISS.2026.1026EDU0223
Subject Category: Education
Volume/Issue: 10/26 | Page No: 2753-2773
Publication Timeline
Submitted: 2026-04-18
Accepted: 2026-04-24
Published: 2026-05-09
Abstract
This study examined the influence of data-driven decision making, resource allocation management, and professional development on the curriculum implementation practices of school administrators in Region X for the school year 2025–2026. A total of 540 school administrators were randomly selected as participants. Utilizing a descriptive-correlational design, the study assessed the levels of key variables and determined their relationships and predictive effects on curriculum implementation practices. Findings revealed that school administrators demonstrated a highly data-driven approach, highly managed resource allocation, and very highly developed professional competencies. Curriculum implementation practices were likewise rated as very highly practiced, indicating consistent and effective execution of instructional leadership functions. Correlation analysis showed that all independent variables significantly relate to curriculum implementation, with professional development exhibiting the strongest relationship. Regression analysis further indicated that the model significantly predicts curriculum implementation, with instructional management, disciplinary skill, and communication skill emerging as the strongest predictors, followed by data usage purpose and financial and budgeting practices. The study concludes that curriculum implementation is a continuous and integrated process primarily driven by leadership competencies, supported by data-informed decision-making and strategic resource utilization. It recommends strengthening ICT capacity, infrastructure, and integrated leadership frameworks. Future research may further validate the model across diverse contexts.
Keywords
data usage purpose, data literacy
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References
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