INTELIGÊNCIA ARTIFICIAL E TECNOLOGIAS ASSISTIVAS PARA ALUNOS COM BAIXA VISÃO NA EDUCAÇÃO: UMA REVISÃO SISTEMÁTICA

Abstract

Assistive Technology (AT) encompasses resources, devices, software, and services designed to promote the autonomy, accessibility, and active participation of students with visual impairments. The integration of Artificial Intelligence (AI) with AT in the context of special education has expanded inclusion possibilities for students with low vision, fostering the development of cognitive, social, and academic skills. Tools such as screen readers, applications with optical character recognition (OCR), digital magnifiers, and AI-based support systems provide greater independence in accessing content, performing educational activities, and keeping pace with schoolwork. Strategies involving accessible tablets, enlarged text, multimodal materials, and smart applications enable differentiated pedagogical mediation, thereby optimizing the teaching-learning process. However, the implementation of these technologies faces significant challenges within school systems—such as limited financial resources—that hinder the acquisition and maintenance of equipment. Furthermore, a lack of ongoing teacher training and adequate infrastructure impedes the effective use of these resources. Thus, investigating these obstacles is crucial to understanding how public policies, municipal budgets, and school management influence access to AT, directly impacting student inclusion and full participation in the educational environment.