Generative AI for Quality Assurance and Academic Administration in Indian Technical Institutions: Adoption, Readiness and Policy Implications

Volume 11, Issue 2, 2026

International Journal of Commerce and Management Studies, ISSN 2456-3684

Paper Title

Author Name and Affiliation

Dr. Abhijit R. Gajghate

Associate Professor & HOD, Department of Business Management
Madhukarrao Pandav College of Engineering, Bhandara, India

Abstract

The rapid advancement of Generative Artificial Intelligence (Gen-AI) tools has opened new possibilities for improving quality assurance and academic administration in higher education. Technical institutions in India, which undergo continuous accreditation, reporting and documentation processes, present fertile ground for the integration of AI-driven automation and decision support systems. This pan-India study investigates the adoption levels, institutional readiness, perceived benefits, challenges, and policy implications of using Gen-AI tools such as ChatGPT, Gemini, Claude, and other LLM-based platforms across Indian technical institutions. Using a mixed-methods research approach, primary data were collected from 900 respondents representing IQAC coordinators, administrators, senior faculty, and administrative staff from different regions of India. Findings indicate moderate-to-high awareness of Gen-AI but uneven adoption across institutions due to infrastructural constraints, lack of training, ethical concerns and absence of institutional policies. Gen-AI tools significantly enhance documentation efficiency, NAAC/AQAR preparation, report writing, meeting minutes, and student support services; however, concerns persist about plagiarism, data privacy, and accuracy. The study recommends national-level guidelines, capacity-building initiatives, ethical policies, and structured integration of AI to support quality assurance ecosystems. Policy recommendations for AICTE, NAAC and institutions have been proposed.

Keywords

Generative AI, IQAC, Quality Assurance, Academic Administration, NAAC, Technical Institutions, Higher Education, AI Adoption, India

References

Dwivedi, Y. et al. (2023). Generative AI in Higher Education. Journal of Business Research.
Kumar, P. (2024). Ethical Challenges in AI Adoption in Universities. Higher Education Review.
Raman, S., & Singh, A. (2022). AI Tools for Institutional Quality Assurance. Indian Journal of Education Technology.
Venkatesh, V., & Davis, F. (2000). Technology Acceptance Model. MIS Quarterly.

DOI

DOI: 10.67061/ijcams.2026.vol.11.issue.02.4071

Download PDF