Journal of Higher Education Research

This study focuses on the impact of data-driven educational decision-making on improving educational quality and management efficiency. With the rapid development of big data technology, the education field faces unprecedented opportunities and challenges. The research first elucidates the concept of educational big data and its importance in educational decision-making, then delves into the current status of educational big data applications, including issues related to data quality, technological infrastructure, and policy regulations. Based on this analysis, strategies are proposed to improve data collection and integration mechanisms, balance data-driven approaches with educational essence, and advance the application of educational big data in national strategies, aiming to provide feasible pathways for enhancing educational quality and management efficiency. The research results indicate that data-driven educational decision-making can significantly improve teaching precision, resource allocation efficiency, and management scientificity. However, it also emphasizes the importance of avoiding over-reliance on data, protecting privacy, and respecting educational principles. This study provides theoretical foundations and practical guidance for educational decision-makers, managers, and researchers, holding significant importance for promoting educational modernization and building a strong education system.