Conhecimento e uso da inteligência artificial por alunos de graduação em Bacharelado em Educação Física

Abstract

Objective: To investigate the level of knowledge and use of artificial intelligence (AI) tools for academic purposes and for exercise prescription/monitoring among undergraduate students in the Bachelor of Physical Education at UFJF-GV. Methods: This was a cross-sectional study with a convenience sample of students actively enrolled in the University from November 2024. Sociodemographic variables and information regarding knowledge and use of AI tools for academic purposes and exercise prescription/monitoring were collected. Questions were structured using a Likert scale with three response options: 'yes', 'partly' and 'no'. Levels of knowledge/use were categorized as low (0-49%), medium (50-79%), or high (≥80%). Results: The study included 35 participants (18 women, 51.4%). The level of knowledge/use of AI tools for academic purposes was classified as intermediate in 48.6% of participants (n=17), with ChatGPT, Google Translate and Canva being the most used tools (87.5%). For exercise prescription/monitoring, only 8.6% of students reported familiarity with AI, indicating a low level of use. The most used tools for this purpose were Strava (57.1%) and Polar Flow (37.7%). Most participants (71.4%) believed that AI would not replace sports professionals, but 62.9% recognized its potential to improve professional efficiency. Conclusion: The results indicate that students of Physical Education use AI tools primarily for academic purposes, while their use for exercise prescription/monitoring remains limited. These findings highlight a gap in professional education regarding AI applications, a rapidly emerging topic that is expected to have a significant impact on the field in the coming years