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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Digital Transformation in Indian Education: Role of Computer Science under NEP 2020

Authors: Naveen Kumar Gupta;

Digital Transformation in Indian Education: Role of Computer Science under NEP 2020

Abstract

The National Education Policy (NEP) 2020 marks a paradigm shift in India’s educational landscape, emphasizing holistic, flexible, and technology-integrated learning. One of the policy’s key pillars is the digital transformation of education through the strategic integration of computer science and emerging technologies. This paper explores the pivotal role computer science plays in implementing NEP 2020’s vision—ranging from the use of digital platforms for content delivery to the inclusion of coding, artificial intelligence (AI), and computational thinking from early grades. It examines initiatives like DIKSHA, SWAYAM, and NDEAR, and highlights how computer science is shaping teacher training, assessments, and personalized learning. The study also investigates the challenges of infrastructure, digital literacy, and accessibility in rural and underprivileged areas. By analyzing current efforts and proposing future directions, this research emphasizes the necessity of inclusive digital strategies to bridge the learning divide and ensure that technology becomes a true enabler of equitable and quality education across India.

Keywords

National Education Policy 2020 (NEP 2020), Digital Transformation, Indian Education, Computer Science, Emerging Technologies, Artificial Intelligence (AI), Computational Thinking Digital, Learning Platforms, DIKSHA, SWAYAM, Technology Integration, Personalized Learning, Digital Literacy, Educational Infrastructure, Teacher Training, Rural Education, Inclusive Education, Equitable Access, Quality Education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green