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Leveraging Data Analytics to Bridge Educational Inequities Globally

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Listed:
  • Sangeeta Kumari
  • Rajeshwar Dayal

Abstract

Introduction: It is the foundation for improving society, facilitates economic growth, achieves social equity, and incites innovation. Global educational trends indicate a vast discrepancy in literacy, enrollment, gender parity, and access to resources. Regional inequities, gaps in gender inequality, and resources are the biggest challenges facing universal quality access to education. Method: Since the research uses the Kaggle global education dataset to analyze these trends, it provides a more complete study of current challenges and achievements. Data-driven insights establish patterns, reveal disparities, and provide insight into what needs the most urgent attention. Result: The final aim is to empower the policymakers and the education stakeholders with the information necessary for creating the appropriate policies and reform practices. This research thus contributes to the larger goal of making the global education system more equitable and inclusive, in which everyone will have the opportunity to learn.

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Handle: RePEc:dbk:procee:v:3:y:2025:i::p:1056294piii2025497:id:1056294piii2025497
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