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Adoption of Generative AI Tools in Indian Higher Education: An Empirical Study on Faculty Readiness, Ethical Concerns, and Pedagogical Transformation
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Keywords

Generative AI
Higher Education
Faculty Readiness
Ethics
Pedagogical Transformation
Technology Adoption

Categories

How to Cite

Shettigar, D. R. (2026). Adoption of Generative AI Tools in Indian Higher Education: An Empirical Study on Faculty Readiness, Ethical Concerns, and Pedagogical Transformation. South India Journal of Social Sciences, 24(1), 104-110. https://doi.org/10.62656/

Abstract

The rapid integration of Generative Artificial Intelligence (GenAI) into educational systems represents a significant turning point. This research aims to study the acceptance, benefits, ethical challenges, and pedagogical consequences of GenAI in Indian higher education. Employing a descriptive, cross-sectional approach, we distributed a structured questionnaire to 210 faculty members across multidisciplinary colleges and universities, ensuring the anonymity of respondents and the authenticity of data. The study used descriptive statistics, reliability analysis, and regression modeling to understand the dimensions of faculty readiness, perceived advantages, ethical issues, and pedagogical impacts in adopting GenAI. The results reveal a high level of awareness and moderate adoption, influenced by the perception of academic efficiency but restrained by ethical concerns, skills gap, and lack of institutional policy clarity. The findings emphasize the need for policy formulation, training, and ethical guidelines as India endeavors to achieve digitally empowered education. This study offers recent empirical evidence to the ongoing conversation on technology acceptance in academia, enriching the literature and informing the stakeholders of higher education institutions about the GenAI wave.

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