Artificial intelligence applied to the management of dyslexia cases in university settings: A systematic review
Palabras clave:
Dyslexia, artificial intelligence, education, university students, systematic review
Resumen
Dyslexia is a learning difficulty that affects reading and writing and has been studied in search of novel tools for detection and treatment. This article analyzes the applicability of Artificial Intelligence to the management of dyslexia cases in university settings, through a systematic review focused on the contributions of scientific literature on assessment/diagnosis and intervention processes. Through searches in Scopus and Web of Science, empirical studies were selected considering the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols method. The results show that Artificial Intelligence is effective in the detection of dyslexia through eye movement analysis and neuroimaging, allowing early diagnosis. However, research has mainly focused on assessment and diagnosis, while its application in interventions requires further study. In conclusion, Artificial Intelligence has the potential to improve accessibility and personalization in the treatment of dyslexia, contributing to the transformation of university educational processes in students suffering from this condition.
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Publicado
2025-08-26
Cómo citar
Marín-González, F., Cuba-Romero, G. C., & Larios-Ariza, M. A. (2025). Artificial intelligence applied to the management of dyslexia cases in university settings: A systematic review. Revista De Ciencias Sociales, 31(3), 38-56. https://doi.org/10.31876/rcs.v31i3.44268
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Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0.
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