Artificial Intelligence Tools for Students with Learning Disabilities: Opportunities, Risks and Educational Implications- A Narrative Review
DOI:
https://doi.org/10.54536/ajet.v5i3.7583Keywords:
Artificial Intelligence, Assistive Technology, Dyslexia, Educational Technology, Inclusive Education, Learning DisabilitiesAbstract
Artificial Intelligence (AI) technologies are rapidly transforming contemporary educational practices and are increasingly being explored as tools for supporting students with learning disabilities (LD). These technologies include intelligent tutoring systems, natural language processing applications, adaptive learning environments, speech-to-text tools, automated feedback systems, and generative AI platforms capable of assisting reading and writing processes. The purpose of this narrative review is to synthesize the emerging literature on the use of Artificial Intelligence tools in supporting students with learning disabilities and to examine their educational benefits, potential risks, and broader implications for inclusive education. The review draws on research from educational technology, cognitive psychology, and special education published between 2010 and 2024. The findings suggest that AI-based tools can enhance reading accessibility, support written language production, facilitate executive functioning and self-regulated learning, and contribute to early identification of learning difficulties. At the same time, the literature highlights important concerns regarding ethical issues, data privacy, algorithmic bias, and the potential over-reliance on automated systems. The review argues that Artificial Intelligence should be understood as a form of cognitive and pedagogical support that can enhance inclusive educational environments when integrated within appropriate pedagogical frameworks. Future research should focus on longitudinal classroom studies, the impact of generative AI on independent learning skills, and the development of ethical guidelines for responsible AI implementation in education.
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References
Ainscow, M. (2020). Promoting inclusion and equity in education: Lessons from international experiences. Nordic Journal of Studies in Educational Policy, 6(1), 7–16. https://doi.org/10.1080/20020317.2020.1729587
American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (5th ed., text rev.; DSM-5-TR). American Psychiatric Publishing.
Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews. Review of General Psychology, 1(3), 311–320. https://doi.org/10.1037/1089-2680.1.3.311
Bond, M., Zawacki-Richter, O., & Nichols, M. (2019). Revisiting five decades of educational technology research: A content and authorship analysis of the British Journal of Educational Technology. Computers & Education, 142, 103640. https://doi.org/10.1016/j.compedu.2019.103640
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
Chassignol, M., Khoroshavin, A., Klimova, A., &Bilyatdinova, A. (2018). Artificial intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750
Dignum, V. (2019). Responsible artificial intelligence: How to develop and use AI in a responsible way. Springer. https://doi.org/10.1007/978-3-030-30371-6
Ferrari, R. (2015). Writing narrative style literature reviews. Medical Writing, 24(4), 230–235. https://doi.org/10.1179/2047480615Z.000000000329
Florian, L. (2019). On the necessary co-existence of special and inclusive education. International Journal of Inclusive Education, 23(7–8), 691–704. https://doi.org/10.1080/13603116.2019.1622801
Florian, L., & Black-Hawkins, K. (2011). Exploring inclusive pedagogy. British Educational Research Journal, 37(5), 813–828. https://doi.org/10.1080/01411926.2010.501096
Graham, S., Harris, K. R., &Santangelo, T. (2015). Research-based writing practices and the Common Core. The Elementary School Journal, 115(4), 498–522. https://doi.org/10.1086/681964
Graham, S., & Harris, K. R. (2018). Evidence-based writing practices: A meta-analysis of existing meta-analyses. Reading & Writing Quarterly, 34(1), 1–15. https://doi.org/10.1080/10573569.2017.1401841
Holmes, W., Bialik, M., &Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Holmes, W., &Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533
Hopcan, S., Polat, E., Ozturk, M., &Ozturk, G. (2023). Artificial intelligence in special education: A systematic review. Interactive Learning Environments, 31(8), 4571–4589. https://doi.org/10.1080/10494820.2022.2067186
Jaime-Vargas, M., (2025). Generative AI tools in education: Opportunities and challenges for learning. Educational Technology Research and Development.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Luckin, R., Holmes, W., Griffiths, M., &Forcier, L. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 901–918. https://doi.org/10.1037/a0037123
MacArthur, C. A., & Graham, S. (2016). Writing research for students with learning disabilities. Learning Disabilities Research & Practice, 31(1), 20–31. https://doi.org/10.1111/ldrp.12096
Meltzer, L. (2018). Executive function in education: From theory to practice (2nd ed.). Guilford Press.
Meyer, A., Rose, D. H., & Gordon, D. (2014). Universal design for learning: Theory and practice. CAST.
Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers & Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033
Perera, D., &Aboal, D. (2023). Generative AI in education: A systematic literature review. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11853-2
Peterson, R. L., & Pennington, B. F. (2015). Developmental dyslexia. Annual Review of Clinical Psychology, 11, 283–307. https://doi.org/10.1146/annurev-clinpsy-032814-112842
Russell, S., &Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Snowling, M. J., &Hulme, C. (2012). Interventions for children’s language and literacy difficulties. International Journal of Language & Communication Disorders, 47(1), 27–34. https://doi.org/10.1111/j.1460-6984.2011.00081.x
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995
Wood, S. G., Moxley, J., Tighe, E. L., & Wagner, R. K. (2018). Does use of text-to-speech and related read-aloud tools improve reading comprehension for students with reading disabilities? Journal of Learning Disabilities, 51(1), 73–84. https://doi.org/10.1177/0022219416688170
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, Article 8812542. https://doi.org/10.1155/2021/8812542
Zawacki-Richter, O., Marín, V. I., Bond, M., &Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0
Zhang, L., Carter, R. A., Jr., Liu, Y., & Peng, P. (2026). Let’s CHAT about artificial intelligence for students with disabilities: A systematic literature review and meta-analysis. Review of Educational Research, 96(1), 215–257. https://doi.org/10.3102/00346543241293424
Zhao, X., Cox, A., & Chen, B. (2025). The use of generative AI by students with disabilities in higher education. The Internet and Higher Education, 66, 101014. https://doi.org/10.1016/j.iheduc.2025.101014
Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166–183. https://doi.org/10.3102/0002831207312909
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