Authors: Dr. Hanumantharayadu
Abstract: This is an empirical research that investigates the complex nature of the effects of Artificial Intelligence (AI) on tertiary education, and more so, on the Indian universities. Based on the mixed-method approach, 200 students and faculty members in various institutions were used to collect data to measure AI adoption, attitudes, and academic performance. The paper shows that AI technologies are tremendously effective in increasing student engagement, personal learning, and administrative efficiency, which promote more accessible and flexible education. It also raises the aspect of better academic performance, especially with the use of automated grading and virtual classroom, and research aid by AI. Nevertheless, the inquiry reveals obstacles like the issues of privacy of data and a possibility of plagiarism alongside psychological effects of excessive dependence on the AI systems. The reaction of faculty and students shows that there is a great requirement to support this institutionally, such as AI literacy courses and explicit ethics. The results highlight a moderate combination of AI and humanistic pedagogy to make education sustainable and meaningful. In the current literature with the growing interest in AI in education, the study adds empirical research to the area of Indian higher education by highlighting opportunities and barriers to effective implementation of AI. The findings promote strategic plans promoting responsible use of AI and uphold academic integrity and inclusivity in dynamic learning online.
DOI: http://doi.org/10.5281/zenodo.17838413
