Proceedings of the 18th National IQAC Conference (ICon 2026)

18th National IQAC Conference (ICon 2026)

📍Bengaluru, India🗓️ 24-25 April 2026
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AI-Enabled Research Practices and Knowledge Diversity: A Moderation Model of Generative AI Competency

Authors
Pankaj Adatiya Tiwari1, *, Renu Rathi2
1Senior Assistant Professor, School of Commerce, Jain (Deemed to Be University), Bangalore, India
2Professor, School of Commerce, Jain (Deemed to Be University), Bangalore, India
*Corresponding author. Email: adatiya.pankaj@gmail.com
Corresponding Author
Pankaj Adatiya Tiwari
Available Online 6 October 2026.
DOI
10.2991/978-2-38476-618-5_19How to use a DOI?
Keywords
AI in Research; Knowledge Diversity; Generative AI Competency; Multilingual Search Methods; Multi-Database Handling; AI-Enabled Research Practices; Higher Education Research
Abstract

The increasing usage of artificial intelligence (AI) in academic research has dramatically altered the nature of knowledge discovery, but its impact on the variety of knowledge has not been studied much in depth. This paper examines how AI-supported research practices such as using AI, multilingual search, and access to various databases can contribute to increasing knowledge diversity in higher education. According to data provided by academic researchers, who had to fill out a structured questionnaire and analyze it with the help of PLS-SEM, AI use, multilingual search, and multi-database practices increase knowledge diversity. The research concludes that the beneficial effect of using AI on knowledge diversity is higher among individuals who have high generative skills in AI. As a result, it is equally important that AI tools be implemented and user proficiency be developed to improve the outcome of the research. The research provides viable solutions to improve the quality and inclusivity of research in higher education by proposing knowledge diversity as an outcome variable.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 18th National IQAC Conference (ICon 2026)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
6 October 2026
ISBN
978-2-38476-618-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-618-5_19How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Pankaj Adatiya Tiwari
AU  - Renu Rathi
PY  - 2026
DA  - 2026/10/06
TI  - AI-Enabled Research Practices and Knowledge Diversity: A Moderation Model of Generative AI Competency
BT  - Proceedings of the 18th National IQAC Conference (ICon 2026)
PB  - Atlantis Press
SP  - 227
EP  - 241
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-618-5_19
DO  - 10.2991/978-2-38476-618-5_19
ID  - Tiwari2026
ER  -