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Social Sciences

Role of AI-Driven Tools in Transforming Teaching-Learning in Higher Education

Authors

By 
Kanupriya Goswami
Kanupriya Goswami, Keshav Mahavidyalaya, University of Delhi, India
Orcid https://orcid.org/0000-0001-7116-9709

Kanupriya Goswami is a Professor of Physics in the Department of Physics, Keshav Mahavidyalaya, University of Delhi. She did her Doctorate in Astro-Particle Physics from University of Delhi and has more than 25 years of teaching experience. She is currently working in the field of Mathematical Modelling of Dynamical Systems and the use of Neural Networks to study such systems. Her areas of interest include Nuclear Matter, Neutron stars, Numerical Methods, Mathematical Modelling and Machine learning to name a few.

, 
Arpana Sharma
Arpana Sharma, Keshav Mahavidyalaya, University of Delhi, India
Orcid https://orcid.org/0000-0002-2005-3498

Arpana Sharma is a Professor with more than 25 years of experience in the Department of Mathematics, Keshav Mahavidyalaya, University of Delhi. She did her Doctorate in Operations Research, Department of Mathematics, from the University of Delhi in 2003. She is mainly working in the area of Optimization Theory and Mathematical Modelling. Her areas of interest include Non-smooth Programming, Mathematical Modelling, Neural Networks and Machine Learning, to name a few.

, 
Vinita Jindal
Vinita Jindal, Keshav Mahavidyalaya, University of Delhi, India
Orcid https://orcid.org/0000-0002-0481-4840

Vinita Jindal is a Professor with more than 25 years of experience in the Department of Computer Science, Keshav Mahavidyalaya, University of Delhi. She did her Doctorate in Computer Science from the Department of Computer Science at the University of Delhi in 2018. She is mainly working in the area of Networks and Artificial Intelligence. Her areas of interest include Intrusion Detection Systems, Mathematical Modelling, Neural Networks and Machine Learning, to name a few.

STAR SCHOLARS PRESS

Published

Publication date : August 9, 2026

Synopsis

The integration of AI-driven tools in higher education has profoundly impacted traditional teaching-learning paradigms, further enhancing the quality of academic engagement and learning outcomes. This chapter focuses on the role of AI-driven tools in reshaping the teaching-learning ecosystem within higher education institutions, benefiting both educators and learners. It examines the multifaceted purposes of widely used AI-driven tools in contemporary university classrooms and virtual learning environments, including platforms such as ChatGPT, CoPilot, DeepSeek, and AI-enabled LMS. These tools not only enhance the dissemination of educational content but also provide support mechanisms for assessment, feedback, personalization, and addressing challenges associated with teaching-learning in higher education. Beyond the technological overview, this chapter critically explores the socio-economic, ethical, and pedagogical implications of AI adoption in higher education. The chapter concludes with a future-focused perspective on the integration of AI-driven tools in higher education, emphasizing that when integrated thoughtfully and responsibly, these tools have the potential to act as a powerful catalyst for academic excellence, innovation, and inclusive growth in higher education.

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