ENHANCING HIGHER EDUCATION THROUGH ARTIFICIAL INTELLIGENCE

  • Unique Paper ID: 183336
  • PageNo: 1849-1852
  • Abstract:
  • AI in education is the most emerging field from educational technology. Educators are still uncertain about how to leverage it more broadly for pedagogical purposes and whether it actually has the potential to make an impact on teaching and learning in higher education. This study seeks to provide an overview of research on AI applications in higher education through a systematic review. The descriptors found that most of the disciplines represented in AI publications are STEM and Computer Science, and that empirical studies tended to use quantitative approaches. Results synthesis: four areas of AI applications in academic support guidance services and institutional and administrative services: 1. Prediction and profiling; 2. Evaluation and assessment; 3. Adaptive systems and personalization; and 4. Intelligent tutoring systems. The results shed light on the challenges and risks of AI that are not widely critically addressed, the lack of theoretical pedagogical arguments that are closely related to AI, and the need for further studies of ethical and pedagogical approaches for implementing Artificial Intelligence in higher education.

Copyright & License

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.

BibTeX

@article{183336,
        author = {Dr. B.S. Sisodiya and Dr. Meera Jamod},
        title = {ENHANCING HIGHER EDUCATION THROUGH ARTIFICIAL INTELLIGENCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {1849-1852},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183336},
        abstract = {AI in education is the most emerging field from educational technology. Educators are still uncertain about how to leverage it more broadly for pedagogical purposes and whether it actually has the potential to make an impact on teaching and learning in higher education. This study seeks to provide an overview of research on AI applications in higher education through a systematic review.
The descriptors found that most of the disciplines represented in AI publications are STEM and Computer Science, and that empirical studies tended to use quantitative approaches. Results synthesis: four areas of AI applications in academic support guidance services and institutional and administrative services: 1. Prediction and profiling; 2. Evaluation and assessment; 3. Adaptive systems and personalization; and 4. Intelligent tutoring systems. The results shed light on the challenges and risks of AI that are not widely critically addressed, the lack of theoretical pedagogical arguments that are closely related to AI, and the need for further studies of ethical and pedagogical approaches for implementing Artificial Intelligence in higher education.},
        keywords = {Artificial Intelligence(AI), higher education, Technology},
        month = {August},
        }

Cite This Article

Sisodiya, D. B., & Jamod, D. M. (2025). ENHANCING HIGHER EDUCATION THROUGH ARTIFICIAL INTELLIGENCE. International Journal of Innovative Research in Technology (IJIRT), 12(3), 1849–1852.

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