Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{207550,
author = {Dr Jithendra G T},
title = {ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {3},
pages = {2160-2163},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=207550},
abstract = {Artificial intelligence (AI) is gaining significance in all the sectors of the economy and hence in higher education too. From last few years, this concept of “Artificial Intelligence in Education (AIED)” has experienced significant developments. This study attempted to find out how the concept of artificial intelligence can be applied in teaching and learning in higher education and impacts of using AI in higher education. It examines the learning implications of frequently evolving technologies on the methods and extent of learning as well as teaching. AI gives opportunities to higher education services to become easily accessible at an extraordinary speed, not only inside the class but also outside the classroom. This report attempts to figure out the how AI can become an integral part of universities and tried to access it’s immediate and future implications on different areas of higher education. The challenges in implementing AI in these institutes were also explored. This study will successfully deliver the profound information for educators and in depth knowledge for educational model building that will provide opportunities for growth in future.
For the purpose of the study higher education institutes of Udaipur, Rajasthan will be taken. Structured questionnaires were framed and data collection is done with the help of them taking teachers perception as the focal point. To achieve the objectives of the study statistical tools that were applied for analysing the collected data are frequency tables/graphs and one way ANNOVA. Results of the study shows that implementing AI in higher education institutes is enhancing learning capacities of students up-to a large extent and AI holds massive future prospects in higher education sector.},
keywords = {Higher education, Technology, artificial intelligence, automation, Machine learning, teaching, student attributes},
month = {August},
}
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