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

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.

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Publication Details

Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.120700041
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Dirk Das, Abhijit Das, Urvesh Chaudhery
International journal of research and scientific innovation
Online Learning and Analytics
article

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

Dirk Das, Abhijit Das, Urvesh Chaudhery
article en

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.

International journal of research and scientific innovationVol. XII(VII)
Openalex Percentile: Top 80%
Online Learning and Analytics
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