Artificial Intelligence as a Catalyst for Inclusive Education: Opportunities and Barriers for Educators in Rajasthan

  • Unique Paper ID: 182719
  • PageNo: 3230-3236
  • Abstract:
  • AI's incorporation into education has transformed how learning happens, opening up new possibilities for students and teachers alike. In the context of Rajasthan, a region with unique educational challenges, AI has the potential to transform special education by addressing the diverse needs of students with disabilities. This paper explores AI as a catalyst for inclusive education, focusing on its opportunities and barriers for special educators in Rajasthan. Through a mixed-methods approach, including interviews with special educators, policymakers, and AI specialists, the study examines how AI tools can enhance teaching practices, improve student outcomes, and foster greater inclusion. Additionally, the paper identifies the technological, cultural, and infrastructural challenges that restrict widespread adoption of AI in special education settings. Findings highlight that while AI offers significant promise in personalizing education and supporting diverse learners, challenges related to access, training, and societal perceptions of disability must be addressed for its full potential to be realized. The paper concludes with actionable recommendations for stakeholders to create a more inclusive educational environment through AI.

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{182719,
        author = {HARSHIT AGARWAL and Dr. NEHA SONI},
        title = {Artificial Intelligence as a Catalyst for Inclusive Education: Opportunities and Barriers for Educators in Rajasthan},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {3230-3236},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182719},
        abstract = {AI's incorporation into education has transformed how learning happens, opening up new possibilities for students and teachers alike. In the context of Rajasthan, a region with unique educational challenges, AI has the potential to transform special education by addressing the diverse needs of students with disabilities. This paper explores AI as a catalyst for inclusive education, focusing on its opportunities and barriers for special educators in Rajasthan. Through a mixed-methods approach, including interviews with special educators, policymakers, and AI specialists, the study examines how AI tools can enhance teaching practices, improve student outcomes, and foster greater inclusion. Additionally, the paper identifies the technological, cultural, and infrastructural challenges that restrict widespread adoption of AI in special education settings. Findings highlight that while AI offers significant promise in personalizing education and supporting diverse learners, challenges related to access, training, and societal perceptions of disability must be addressed for its full potential to be realized. The paper concludes with actionable recommendations for stakeholders to create a more inclusive educational environment through AI.},
        keywords = {Rajasthan Education System, Digital Learning for Disabilities, Educational Equity, Artificial Intelligence and Disability Inclusion, Personalized Learning, Technology Integration in Education, Access to Education in Rajasthan, Teachers' Training in Artificial Intelligence, Artificial Intelligence for Differentiated Learning},
        month = {July},
        }

Cite This Article

AGARWAL, H., & SONI, D. N. (2025). Artificial Intelligence as a Catalyst for Inclusive Education: Opportunities and Barriers for Educators in Rajasthan. International Journal of Innovative Research in Technology (IJIRT), 12(2), 3230–3236.

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