Leitura acessível de gráficos matemáticos com inteligência artificial para estudantes com deficiência visual:
um mapeamento sistemático com foco no ensino superior
DOI:
https://doi.org/10.22456/1982-1654.155525Keywords:
acessibilidade de gráficos, inteligência artificial, estudantes cegos, ensino superior, mapeamento sistemático da literaturaAbstract
Reading and interpreting charts and graphs are essential skills in higher education, particularly in fields that rely on visual representations such as Mathematics, Statistics, Physics, Economics, and Social Sciences. For blind students, however, this type of content remains associated with barriers related to access, structural understanding, and interpretive autonomy. This paper presents a Systematic Mapping Study (SMS) protocol focused on artificial intelligence-based solutions for graph accessibility for blind students in higher education. The article organizes the research problem, defines research questions, search sources, inclusion and exclusion criteria, data extraction strategy, and analytical dimensions. It proposes a consistent scientific framework to investigate how AI techniques, pattern recognition, automatic description, multimodal interfaces, and assistive technologies may improve graph comprehension for visually impaired learners. Finally, the paper presents the expected contributions of the study and directions for the next stage of the mapping execution. Therefore, this is a methodological paper aimed at consolidating a rigorous research design aligned with the field of technology-mediated educational accessibility.
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Published 2026-08-17
