Impactos da inteligência artificial no processo de ensino e aprendizagem de química: desafios e potenciais transformações

Abstract

Artificial Intelligence (AI) has been gaining ground in several sectors, bringing benefits and challenges to its integration. This article aimed to analyze the impacts of the insertion of artificial intelligence in the chemistry teaching and learning process, in addition to identifying the potential transformations in the pedagogical environment. The bibliographic review and qualitative analysis of the reviewed studies found that, with ethical and effective implementation, it is possible to identify benefits such as: the availability of instant feedback, the promotion of accessibility, the monitoring of student engagement, the development of tools with pedagogical objectives and the creation of teaching methods personalized to students' difficulties. Among the main challenges encountered, concerns about data privacy and moderate and responsible use can be highlighted. It is concluded that, through effective planning, the validation of cognitive thinking and the establishment of clear policies regarding responsible use, AI can bring significant changes to teaching and learning.