Artificial intelligence and uncertainties in education: imagery representations of health course students

Abstract

The was aim of this work was to understand the imagery representations of students of courses in the health area in relation to the object of knowledge called artificial intelligence. The study was developed in São Caetano do Sul, São Paulo, Brazil. Students from health schools participated (n=83). Data were collected using the Free Word Evocation Technique (TALP). The analysis was based on matrix analysis using the IRaMuTeQ software. The observed salience, based on the findings, revealed the center of the image representations (artificial intelligence) centered on the elements "Technology", "Future" and "Innovation", being the link of the senses perceived by the students after being questioned about how they think the object of study. knowledge during their training process as future health professionals. As a flexible system (peripheral system), in this way of thinking, we highlight the “Robots”, the “ChatGPT” and the “Fear”, thus revealing the uncertainties in education, as a way of interacting in the learning process in this new artificial context. However, it was possible to observe, in contrast, the way of representing this object linked to the problem of “unemployment”.