Book Details

A STUDY ON THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HIGHER EDUCATION

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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Abstract

Artificial Intelligence (AI) is rapidly transforming various sectors, including higher education. This study examines the impact of AI technologies on teaching, learning, and administrative processes in universities and colleges. The research explores how AI-powered tools such as intelligent tutoring systems, automated grading, predictive analytics, and personalized learning platforms enhance educational experiences for both students and educators. The study also investigates the benefits of AI in improving learning outcomes, increasing efficiency in academic administration, and supporting data-driven decision-making. At the same time, it highlights potential challenges associated with AI adoption, including ethical concerns, data privacy issues, technological dependency, and the need for digital literacy among educators and students. Using a combination of literature review and survey-based analysis, the research evaluates the perceptions of students and faculty members regarding AI integration in higher education. The findings suggest that while AI has significant potential to improve the quality, accessibility, and effectiveness of higher education, careful implementation and policy development are necessary to address associated risks. The study concludes that AI can play a transformative role in shaping the future of higher education by promoting personalized learning, improving institutional efficiency, and supporting innovative teaching methods, provided that institutions adopt balanced and ethical approaches to its implementation.

References

  1. Wayne Holmes, Maya Bialik, & Charles Fadel. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
  2. Rose Luckin, Wayne Holmes, Mark Griffiths, & Laurie B. Forcier. (2016). Intelligence Unleashed: An Argument for AI in Education. London: Pearson Education.
  3. Xing Chen, Hui Xie, & Di Zou. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278.
  4. Neil Selwyn. (2019). Should Robots Replace Teachers? AI and the Future of Education. Cambridge: Polity Press.
  5. Stuart J. Russell & Peter Norvig. (2021). Artificial Intelligence: A Modern Approach. 4th Edition. Pearson Education.
  6. UNESCO. (2021). AI and Education: Guidance for Policy Makers. Paris: UNESCO Publishing.
  7. Andreas Kaplan & Michael Haenlein. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations of Artificial Intelligence. Business Horizons, 62(1), 15–25.

Keywords

Personalized Learning, Intelligent Tutoring Systems. Educational Technology, Automated Assessment, Digital Transformation in Education.

Image
  • Format Volume 14, Issue 1, No 21, 2026
  • Copyright All Rights Reserved ©2025
  • Year of Publication 2026
  • Author Dr. G. Manimuthu, Dr. B.Maheswari
  • Reference IJCS - 673
  • Page No 001-005

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