Leveraging Data Analytics to Bridge Educational Inequities Globally
DOI:
https://doi.org/10.56294/piii2025497Keywords:
Education, Data, Analytics, Big DataAbstract
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.
Objective: 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.
Conclusion: 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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Copyright (c) 2025 Sangeeta Kumari, Rajeshwar Dayal (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
