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Augmenting Learning with Artificial Intelligence: An Empirical Examination of Generative‑AI Tools and Student Outcomes in Higher Education

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  • Dr. Abhijit Das

    (Gitarattan International Business School, New Delhi, India.)

  • Dr. Urvesh Chaudhery

    (Gitarattan International Business School, New Delhi, India.)

  • Dr Namrata Yadav Das

    (Department of Business Administration, MJP Rohilkhand University, Bareilly (U.P))

Abstract

The integration of Artificial Intelligence (AI) in higher education is reshaping traditional pedagogical models by enhancing personalization, engagement, and administrative efficiency. This study investigates the role of AI in teaching-learning processes in higher education institutions (HEIs) through a quantitative lens, focusing on faculty and student experiences with AI tools. Drawing data from a sample of 250 respondents across Indian universities, the study explores AI’s influence on academic performance, pedagogical innovation, and learner satisfaction. The findings indicate a positive correlation between AI adoption and improved teaching effectiveness, learning outcomes, and administrative convenience. This paper offers policy and practical recommendations for AI integration to support blended learning environments and faculty development. The results contribute to ongoing discussions about digital transformation in higher education.

Suggested Citation

  • Dr. Abhijit Das & Dr. Urvesh Chaudhery & Dr Namrata Yadav Das, 2025. "Augmenting Learning with Artificial Intelligence: An Empirical Examination of Generative‑AI Tools and Student Outcomes in Higher Education," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(7), pages 401-407, July.
    • Handle: RePEc:bjc:journl:v:12:y:2025:i:67:p:401-407
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