Analytics for Equity: A Data Science Approach to Advancing India’s NEP 2020 Goals

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Published: Apr 1, 2025
DOI: https://doi.org/10.29070/eda5gx92
Keywords:
Data Science, National Education Policy, Learning Analytics, Artificial Intelligence, Digital Governance, Viksit Bharat, Policy Evaluation

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Authors

Kanishk Rajveer Kem

Final Year B.Sc, Data Science, Symbiosis Skills and Professional University, Pune, Maharashtra

Abstract

The National Education Policy (NEP) 2020 outlines a transformative agenda for reforming India's education system, aiming to foster inclusive, equitable, and future-oriented learning environments. However, to achieve these ambitious goals, robust mechanisms for continuous evaluation and adaptive policymaking are essential. This paper explores the transformative potential of data science in evaluating NEP 2020's implementation and outcomes. Through advanced analytics, artificial intelligence (AI), machine learning (ML), geospatial technologies, and real-time monitoring frameworks, data science enables predictive and personalized governance. Drawing on case studies from Andhra Pradesh, Bihar, and the DIKSHA platform, this study demonstrates the impact of data science on educational policy feedback loops. The paper also addresses key ethical challenges, including data privacy, algorithmic fairness, and digital equity. It concludes by offering a structured, scalable roadmap for embedding data science in educational governance, contributing to India's broader development vision of becoming a Viksit Bharat by 2047.

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Article Details

Issue

Vol. 22 No. 2 (2025): Journal of Advances in Science and Technology (JAST)

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