Review Article

The role of artificial intelligence in special and inclusive education: A systematic literature review

Surakrai Nantaburom 1, Suthanit Wetcho 2 *
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1 Thammasat Secondary School, Faculty of Learning Sciences and Education, Thammasat University, Bangkok, THAILAND2 Faculty of Education, Kasetsart University, Bangkok, THAILAND* Corresponding Author
Contemporary Educational Technology, 18(2), April 2026, ep652, https://doi.org/10.30935/cedtech/18489
Published: 29 April 2026
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ABSTRACT

In response to the growing global integration of artificial intelligence (AI) in education, this systematic literature review explores its role in supporting special and inclusive education. The review focuses on how AI technologies enhance accessibility, provide personalized learning experiences for students with disabilities, and support inclusive pedagogical practices. A systematic search was conducted across six major databases—Scopus, Web of Science, Google Scholar, EBSCO, ERIC, and ProQuest—for peer-reviewed articles published between January 2017 and December 2024. AI-assisted platforms, such as Semantic Scholar and Consensus, were also utilized to strengthen the search process. Twenty-one eligible studies were selected and analyzed through qualitative thematic synthesis. Three major themes emerged: (1) AI applications for personalization and assistive learning, (2) challenges in implementation, including teacher readiness and user involvement, and (3) ethical considerations such as fairness, transparency, and inclusive design. The review highlights AI’s transformative potential in advancing equitable education, while emphasizing the need for ethical frameworks, co-design with users, and systemic support. The findings suggest that future efforts should focus on curriculum integration, policy development, and capacity-building among educators to ensure that AI technologies are implemented effectively and inclusively.
Keywords: artificial intelligence, inclusive education, special education, educational technology, systematic literature review, AI ethics in education

CITATION (APA)

Nantaburom, S., & Wetcho, S. (2026). The role of artificial intelligence in special and inclusive education: A systematic literature review. Contemporary Educational Technology, 18(2), ep652. https://doi.org/10.30935/cedtech/18489

REFERENCES

  1. Ahmad, S., Rahmat, M., Mubarik, M., Alam, M., & Hyder, S. (2021). Artificial intelligence and its role in education. Sustainability, 13(22), Article 12902. https://doi.org/10.3390/su132212902
  2. Almufareh, M. F., Tehsin, S., Humayun, M., & Kausar, S. (2023). Intellectual disability and technology: An artificial intelligence perspective and framework. Journal of Disability Research, 2(4), 58-70. https://doi.org/10.57197/JDR-2023-0055
  3. Bozkurt, A., Karadeniz, A., Bañeres, D., Guerrero-Roldán, A., & Rodríguez, M. (2021). Artificial intelligence and reflections from educational landscape: A review of AI studies in half a century. Sustainability, 13(2), Article 800. https://doi.org/10.3390/SU13020800
  4. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
  5. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
  6. Coleman, J. P. H. (2021). AI and our understanding of intelligence. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent systems and applications (vol. 1250, pp. 200-214). Springer. https://doi.org/10.1007/978-3-030-55180-3_15
  7. Dogan, M., Dogan, T., & Bozkurt, A. (2023). The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences, 13(5), Article 3056. https://doi.org/10.3390/app13053056
  8. Drigas, A. S., & Ioannidou, R. D. (2012). Artificial intelligence in special education: A decade review. International Journal of Engineering Education, 28(6), 1366-1372. https://www.ijee.ie/contents/c280612.html
  9. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, Article 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  10. Garg, S., & Sharma, S. (2020). Impact of artificial intelligence in special need education to promote inclusive pedagogy. International Journal of Information and Education Technology, 10(7), 523-527. https://doi.org/10.18178/ijiet.2020.10.7.1418
  11. Gupta, S., & Chen, Y. (2022). Supporting inclusive learning using chatbots? A chatbot-led interview study. Journal of Information Systems Education, 33(1), 98-108. https://jise.org/Volume33/n1/JISE2022v33n1pp98-108.pdf
  12. Hamal, O., Faddouli, N., Harouni, M., & Lu, J. (2022). Artificial intelligence in education. Sustainability, 14(5), Article 2862. https://doi.org/10.3390/su14052862
  13. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. https://unesdoc.unesco.org/ark:/48223/pf0000368021
  14. Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, Article 100001. https://doi.org/10.1016/j.caeai.2020.100001
  15. Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1, 389-399. https://doi.org/10.1038/S42256-019-0088-2
  16. Kaelin, V., Valizadeh, M., Salgado, Z., Parde, N., & Khetani, M. (2020). Artificial intelligence in rehabilitation targeting the participation of children and youth with disabilities: Scoping review. Journal of Medical Internet Research, 23(11), Article e25745. https://doi.org/10.2196/25745
  17. Kumar, V., Barik, S., Aggarwal, S., Kumar, D., & Raj, V. (2024). The use of artificial intelligence for persons with disability: A bright and promising future ahead. Disability and Rehabilitation: Assistive Technology, 19(6), 2415-2417. https://doi.org/10.1080/17483107.2023.2288241
  18. Panjwani-Charania, S., & Zhai, X. (2024). AI for students with learning disabilities: A systematic review. In X. Zhai, & J. Krajcik (Eds.), Uses of artificial intelligence in STEM education (pp. 469-493). Oxford University Press. https://doi.org/10.1093/oso/9780198882077.003.0021
  19. Robinson, D. (2017). Effective inclusive teacher education for special educational needs and disabilities: Some more thoughts on the way forward. Teaching and Teacher Education, 61, 164-178. https://doi.org/10.1016/J.TATE.2016.09.007
  20. Sennott, S., Akagi, L., Lee, M., & Rhodes, A. (2019). AAC and artificial intelligence (AI). Topics in Language Disorders, 39, 389-403. https://doi.org/10.1097/TLD.0000000000000197
  21. Shutaleva, A.,Martyushev, N., Nikonova, Z., Savchenko, I., Kukartsev, V., Tynchenko, V., & Tynchenko, Y. (2023). Sustainability of inclusive education in schools and higher education: Teachers and students with special educational needs. Sustainability, 15(4), Article 3011. https://doi.org/10.3390/su15043011
  22. Smith, P., & Smith, L. (2021). Artificial intelligence and disability: Too much promise, yet too little substance? AI and Ethics, 1, 81-86. https://doi.org/10.1007/s43681-020-00004-5
  23. Toyokawa, Y., Horikoshi, I., Majumdar, R., & Ogata, H. (2023). Challenges and opportunities of AI in inclusive education: A case study of data-enhanced active reading in Japan. Smart Learning Environments, 10(1), Article 67. https://doi.org/10.1186/s40561-023-00286-2
  24. Trewin, S., Basson, S., Muller, M., Branham, S., Treviranus, J., Gruen, D., Hebert, D., Lyckowski, N., & Manser, E. (2019). Considerations for AI fairness for people with disabilities. AI Matters, 5(3), 40-63. https://doi.org/10.1145/3362077.3362086
  25. Wald, M. (2021). AI data-driven personalization and disability inclusion. Frontiers in Artificial Intelligence, 3, Article 571955. https://doi.org/10.3389/frai.2020.571955
  26. Zhai, X., Chu, X., Chai, C. S., Jong, M. S.-Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021(1), Article 8812542. https://doi.org/10.1155/2021/8812542