The advent of the big data era presents both unprecedented opportunities and significant challenges for educational institutions worldwide. China, with its rapidly evolving digital infrastructure and extensive educational system, is particularly poised to leverage big data for transformative educational management. This article proposes a conceptual framework for novel educational management strategies within China's big data landscape. Drawing upon a comprehensive review of existing literature, this framework emphasizes data-driven decision-making, personalized learning pathways, efficient resource allocation, and robust performance evaluation, all underpinned by advanced big data analytics capabilities. It addresses the critical need for educational leaders to adapt to an environment where data is a strategic asset, highlighting the importance of infrastructure development, data literacy, ethical considerations, and continuous innovation. This theoretical exposition aims to provide a guiding structure for future research and practical implementation in the context of Chinese higher and K-12 education.

Big Data, Educational Management, China, Theoretical Framework, Data Analytics, Innovation, Higher Education

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