Por uma Ação Católica: hiperedição dos rascunhos de cartas de Eulálio Motta para Eudaldo Lima

Abstract

Artificial Intelligence (AI) has been increasingly applied in programming environments to optimize code development and improve accessibility. However, for blind students, integrating AI into programming tools still presents challenges, especially regarding compatibility with screen readers and user interaction. This study evaluates the impact of AI-assisted coding environments on the productivity and accessibility of blind programming students. Through experiments comparing code development with and without AI support, we analyze performance, error correction e!ciency, and user perception. The results indicate that AI significantly reduces debugging time and enhances accessibility; however, di!culties persist in interpreting AI-generated suggestions due to a lack of adaptation for assistive technologies. The study highlights the need for improvements in the integration of AI with screen readers and proposes adjustments to enhance accessibility in development environments. These findings contribute to the discussion on inclusive education in computing and the development of more e”ective AI-driven solutions for blind programmers.