Use of AI to improve the teaching-learning process in children with special abilities

Abstract

Through adaptive and assistive technologies, AI enables deep personalization of learning, as well as adjusting content and pacing based on each student’s individual needs. These systems not only optimize the delivery of educational material, but also offer new forms of interaction and accessibility for students with physical, visual and hearing disabilities. The research was conducted with the purpose of exploring how artificial intelligence (AI) has revolutionized special education. The results indicate that the implementation of tools such as speech recognition, brain-computer interfaces and text-to-speech software significantly improves student autonomy and participation in the classroom. However, the data also highlights the importance of addressing ethical and accessibility issues, ensuring that these technological advances benefit all students equitably and without compromising their security or privacy. The inquiry concluded that, while AI presents transformative opportunities for special education, its integration requires thoughtful approaches that prioritize inclusion and equity.