Artificial Intelligence in Education in the Context of NEP 2020: A Global Bibliometric Analysis of Research Trends and Emerging Themes

This paper presents a bibliometric study of global research on artificial intelligence (AI), generative artificial intelligence (GenAI), and higher education, interpreted in the context of India’s National Education Policy (NEP) 2020. Bibliographic data were retrieved from the Lens.org database, and 830 publications published between 2020 and 2025 were analyzed. The study also examines yearly growth of publications, productive authors, source countries, highly cited publications, frequently occurring keywords, and emerging research themes. The results indicate an increase in the publishing output, especially in 2024 and 2025. Keyword analysis was based on the 25 records in the supplied CSV that contained non-empty keyword fields. Highly cited publications primarily address students’ perceptions and acceptance of generative AI, technology adoption, academic integrity, and educational applications The paper discusses the development of this area of research and its significance for higher education and information services within the context of National Education Policy 2020. The analysis focuses on five bibliometric dimensions: annual publication growth, author productivity, source-country contribution, citation impact, and keyword frequency and emerging themes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-26
DOI
https://doi.org/10.5281/zenodo.22108041
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Artificial Intelligence in Education in the Context of NEP 2020: A Global Bibliometric Analysis of Research Trends and Emerging Themes

Shakir Ahmad Dar, Marya Khan, Asmat Ilahi
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence in Education in the Context of NEP 2020: A Global Bibliometric Analysis of Research Trends and Emerging Themes

Shakir Ahmad Dar, Marya Khan, Asmat Ilahi
article en

Abstract

This paper presents a bibliometric study of global research on artificial intelligence (AI), generative artificial intelligence (GenAI), and higher education, interpreted in the context of India’s National Education Policy (NEP) 2020. Bibliographic data were retrieved from the Lens.org database, and 830 publications published between 2020 and 2025 were analyzed. The study also examines yearly growth of publications, productive authors, source countries, highly cited publications, frequently occurring keywords, and emerging research themes. The results indicate an increase in the publishing output, especially in 2024 and 2025. Keyword analysis was based on the 25 records in the supplied CSV that contained non-empty keyword fields. Highly cited publications primarily address students’ perceptions and acceptance of generative AI, technology adoption, academic integrity, and educational applications The paper discusses the development of this area of research and its significance for higher education and information services within the context of National Education Policy 2020. The analysis focuses on five bibliometric dimensions: annual publication growth, author productivity, source-country contribution, citation impact, and keyword frequency and emerging themes.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
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