Bridging the Gap: Cognitive Science Perspectives and Artificial Intelligence for Prediction and Detection of Specific Learning Disabilities

Specific learning disabilities are complex neurodevelopmental disorders that significantly impact an individual’s academic achievements, social interactions, and overall well-being. Both cognitive science and technological developments geared toward artificial intelligence have helped us better understand and serve people with specific learning disabilities. This review article examines cognitive science and artificial intelligence studies, focusing on predicting and detecting the most prevalent specific learning disabilities, namely dyslexia, dysgraphia, and dyscalculia in children. It aims to establish a correlation between cognitive research and artificial intelligence techniques that can benefit the affected population. Understanding both domains enables the development of more effective artificial intelligence technologies grounded in cognitive science principles. Artificial intelligence can revolutionize early prediction, detection, and interventions for specific learning disabilities. The success of this effort lies in the collaboration among data scientists, clinicians, and domain experts.

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Publication Details

Journal
IEEE Transactions on Cognitive and Developmental Systems
Published
2025-04-21
DOI
https://doi.org/10.1109/tcds.2025.3562665
Citations
4
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
9.92
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article

Bridging the Gap: Cognitive Science Perspectives and Artificial Intelligence for Prediction and Detection of Specific Learning Disabilities

Subha Sreekumar, A Lijiya, Rajith K. Ravindren
4 citations
IEEE Transactions on Cognitive and Developmental Systems
Intelligent Tutoring Systems and Adaptive Learning
9.92
article

Bridging the Gap: Cognitive Science Perspectives and Artificial Intelligence for Prediction and Detection of Specific Learning Disabilities

Subha Sreekumar, A Lijiya, Rajith K. Ravindren
article en
4 citations

Abstract

Specific learning disabilities are complex neurodevelopmental disorders that significantly impact an individual’s academic achievements, social interactions, and overall well-being. Both cognitive science and technological developments geared toward artificial intelligence have helped us better understand and serve people with specific learning disabilities. This review article examines cognitive science and artificial intelligence studies, focusing on predicting and detecting the most prevalent specific learning disabilities, namely dyslexia, dysgraphia, and dyscalculia in children. It aims to establish a correlation between cognitive research and artificial intelligence techniques that can benefit the affected population. Understanding both domains enables the development of more effective artificial intelligence technologies grounded in cognitive science principles. Artificial intelligence can revolutionize early prediction, detection, and interventions for specific learning disabilities. The success of this effort lies in the collaboration among data scientists, clinicians, and domain experts.

IEEE Transactions on Cognitive and Developmental SystemsVol. 17(4)
National Institute of Technology Calicut (IN), Institute of Mental Health (IN), Institute of Mental Health and Neurosciences, National Institute of Mental Health and Neurosciences (IN)
Quality Education
Openalex Percentile: Top 2%
Intelligent Tutoring Systems and Adaptive Learning
9.92
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