IA generativa no ensino de engenharia de software: um estudo empírico sob a perspectiva do aluno

Abstract

With the growth and popularization of the use of generative Artificial Intelligence (generative AI), its repercussion on spheres of society, such as education, are becoming apparent. As a result of this integration into education, there have been discussions about its effectiveness and acceptance into the teaching-learning process. This paper aims to analyze the impact of the use of generative AI as an educational tool can have on a software engineering (SE) class in a college computer course. The study is conducted by controlled experiment, with the objective of measure the effectiveness, facilitating conditions, performance expectation, confidence, use perception, time, security, mental effort, social perception of technology, perception about the tool, continued intention and acquired knowledge. The results indicate differences in the effectiveness between the students and positive results in relation to time pressure and improvement in the student's security, despite raising questions about the low retention of acquired knowledge when generative AI tools are adopted during the teaching process.