The use of artificial intelligence in the education of students with learning disabilities
Department of Public and Community Health School of Public Health University of West Attica, Greece.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 21(03), 033–049.
Article DOI: 10.30574/gjeta.2024.21.3.0223
Publication history:
Received on 03 November 2024; revised on 11 December 2024; accepted on 13 December 2024
Abstract:
Learning disabilities are a neurodevelopmental disorder that affects a significant percentage of students worldwide, creating academic and socioemotional challenges that can impact adulthood. Although learning disabilities cannot be fully resolved, individuals living with them can significantly enhance their abilities with the help of appropriate teaching methods and support tools. Artificial intelligence offers innovative capabilities to support students with learning disabilities by providing personalized digital tools and learning strategies tailored to their specific educational needs. The aim of this study is to examine, through a systematic literature review, the most recent applications of artificial intelligence that have been developed to support students with learning disabilities. Through the literature search in the Scopus, PubMed, and Google Scholar databases, only a limited number of studies were identified regarding the role of artificial intelligence in the education of students with learning disabilities. However, the aforementioned studies demonstrated that artificial intelligence can enhance the educational path of individuals with learning disabilities and facilitate the learning process, improving their academic performance, reducing the challenges and inequalities they face and thereby providing equal opportunities for success in the educational field.
Keywords:
Artificial intelligence; Learning Disabilities; Education; Personalized Learning; Digital Tools; Learning Strategies; Personalized Interventions; School-Aged Students; University Students
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0