Intelligent Technologies for Dyslexia Studies and Learning Support: A Comprehensive Review

Artificial intelligence has come a long way, and now it can be used in schools and research settings, especially to help students with dyslexia. This scoping review examines the revolutionary impact of artificial intelligence on dyslexia research and education, detailing its applications, opportunities, and challenges. We found 683 unique articles when we searched Google Scholar, Scopus, Web of Science, PsycINFO, and ERIC. Of those, 84 met the criteria for inclusion. The results show that AI can be used in dyslexia education and research in four main ways: early detection and diagnosis, personalised learning and interventions, speech and language processing, and brain imaging and neuroimaging analysis. Five major problems were also found: the quality and quantity of data, the ease of getting artificial intelligence-powered help, bias and validity in tests, the need to balance AI help with human expertise, and the need for AI to be clear about how it makes decisions. To deal with these problems, it is suggested that actionable steps be taken to improve dyslexia research and education. Key strategies encompass enhancing artificial intelligence tools for early detection, ensuring inclusivity in cost-effective systems, addressing ethical considerations, promoting interdisciplinary collaboration, training educators, and developing culturally relevant resources. Future research should focus on making tools for multicultural and non-English-speaking settings, moving forward research in neuroimaging and personalised learning, doing long-term studies on how artificial intelligence can help people with dyslexia, and setting up ethical guidelines for how to use artificial intelligence in dyslexia education. By figuring out how to deal with the difficulties of integrating artificial intelligence, we can unlock its full potential to change dyslexia education and make learning environments that are more open, effective, and ethical for everyone.

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Publication Details

Journal
International Journal of Novel Research and Development
Published
2026-04-01
DOI
https://doi.org/10.56975/ijnrd.v11i4.313307
Primary Topic
Reading and Literacy Development
Type
article
Field-Weighted Citation Impact
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article

Intelligent Technologies for Dyslexia Studies and Learning Support: A Comprehensive Review

Mr.N.Karthik Mr.N.Karthik, SAMALA RAVITEJA, PINNINTI SRIKARAN, TELISEERI KRUTHIK
International Journal of Novel Research and Development
Reading and Literacy Development
article

Intelligent Technologies for Dyslexia Studies and Learning Support: A Comprehensive Review

Mr.N.Karthik Mr.N.Karthik, SAMALA RAVITEJA, PINNINTI SRIKARAN, TELISEERI KRUTHIK
article en

Abstract

Artificial intelligence has come a long way, and now it can be used in schools and research settings, especially to help students with dyslexia. This scoping review examines the revolutionary impact of artificial intelligence on dyslexia research and education, detailing its applications, opportunities, and challenges. We found 683 unique articles when we searched Google Scholar, Scopus, Web of Science, PsycINFO, and ERIC. Of those, 84 met the criteria for inclusion. The results show that AI can be used in dyslexia education and research in four main ways: early detection and diagnosis, personalised learning and interventions, speech and language processing, and brain imaging and neuroimaging analysis. Five major problems were also found: the quality and quantity of data, the ease of getting artificial intelligence-powered help, bias and validity in tests, the need to balance AI help with human expertise, and the need for AI to be clear about how it makes decisions. To deal with these problems, it is suggested that actionable steps be taken to improve dyslexia research and education. Key strategies encompass enhancing artificial intelligence tools for early detection, ensuring inclusivity in cost-effective systems, addressing ethical considerations, promoting interdisciplinary collaboration, training educators, and developing culturally relevant resources. Future research should focus on making tools for multicultural and non-English-speaking settings, moving forward research in neuroimaging and personalised learning, doing long-term studies on how artificial intelligence can help people with dyslexia, and setting up ethical guidelines for how to use artificial intelligence in dyslexia education. By figuring out how to deal with the difficulties of integrating artificial intelligence, we can unlock its full potential to change dyslexia education and make learning environments that are more open, effective, and ethical for everyone.

International Journal of Novel Research and DevelopmentVol. 11(4)
National Institute of Technology Warangal (IN)
Quality Education
Openalex Percentile: Top 5%
Reading and Literacy Development
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