Generative AI in Education

  • Unique Paper ID: 206230
  • Volume: 13
  • Issue: 2
  • PageNo: 473-481
  • Abstract:
  • The emergence of Generative Artificial Intelligence (GenAI) has introduced a transformative paradigm in modern education by enabling intelligent content creation, personalized learning experiences, and adaptive instructional support. Unlike conventional educational technologies, GenAI systems can generate text, images, assessments, simulations, and interactive learning materials tailored to individual learner requirements. This paper explores the evolving role of Generative AI in educational environments, highlighting its potential to enhance student engagement, improve learning outcomes, and support educators in curriculum design and assessment development. The study further examines the integration of AI-powered virtual tutors, automated feedback mechanisms, and data-driven learning analytics that facilitate individualized learning pathways. Additionally, the paper discusses critical challenges associated with GenAI adoption, including academic integrity concerns, algorithmic bias, data privacy, ethical governance, and the changing role of educators. By analyzing emerging trends and future opportunities, this research presents a balanced perspective on the benefits and limitations of Generative AI in education. The findings suggest that responsible implementation, transparent governance, and AI literacy development are essential for maximizing the educational value of Generative AI while ensuring equitable, ethical, and sustainable learning ecosystems for future generations.

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{206230,
        author = {Niranjan Vijay Patil and Priti Aaba Mahale and Vinita Hari Patil},
        title = {Generative AI in Education},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {473-481},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206230},
        abstract = {The emergence of Generative Artificial Intelligence (GenAI) has introduced a transformative paradigm in modern education by enabling intelligent content creation, personalized learning experiences, and adaptive instructional support. Unlike conventional educational technologies, GenAI systems can generate text, images, assessments, simulations, and interactive learning materials tailored to individual learner requirements. This paper explores the evolving role of Generative AI in educational environments, highlighting its potential to enhance student engagement, improve learning outcomes, and support educators in curriculum design and assessment development. The study further examines the integration of AI-powered virtual tutors, automated feedback mechanisms, and data-driven learning analytics that facilitate individualized learning pathways. Additionally, the paper discusses critical challenges associated with GenAI adoption, including academic integrity concerns, algorithmic bias, data privacy, ethical governance, and the changing role of educators. By analyzing emerging trends and future opportunities, this research presents a balanced perspective on the benefits and limitations of Generative AI in education. The findings suggest that responsible implementation, transparent governance, and AI literacy development are essential for maximizing the educational value of Generative AI while ensuring equitable, ethical, and sustainable learning ecosystems for future generations.},
        keywords = {Generative AI, Personalized Learning, Intelligent Tutoring, Digital Education, Learning Analytics, Educational Innovation.},
        month = {July},
        }

Cite This Article

Patil, N. V., & Mahale, P. A., & Patil, V. H. (2026). Generative AI in Education. International Journal of Innovative Research in Technology (IJIRT), 13(2), 473–481.

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