ARTIFICIAL INTELLIGENCE FROM QUALITATIVE REASONING: OVERVIEW OF TEACHING MATERIALS IN NATURAL SCIENCE TEACHING

Abstract

This paper discusses the use of Artificial Intelligence (AI), through qualitative simulation models, as teaching materials in science teaching. To this end, this research aimed to identify materials produced and published in Brazilian literature from 2000 to 2022, based on Qualitative Reasoning (RQ). RQ is an area of AI that seeks to develop symbolic reasoning to understand the functioning of complex systems, generally interdisciplinary, through qualitative models. For this review, we used the Google Scholar database, based on the search strategy, built with the help of the Boolean operators “simulation models” OR “qualitative models” OR “qualitative reasoning”, for texts in Portuguese. The data was tabulated and then categorized for discussion. In total, 19 works were found, of which: eight focused on science teaching, from the ‘Middle School segment; four texts related to the teaching of Chemistry; four that discuss RQ for deaf students; a production for the area of physics teaching; a production related to biology; and, finally, a text aimed at the inclusion of deaf and hearing people. This literature review showed that there are still few works that appropriate the use of teaching materials, based on RQ, for the classroom. This low number of productions is possibly due to the recent arrival of RQ nationwide. Furthermore, AI, through RQ, has shown potential, since students can use qualitative simulation models to allow students to develop hypothetical-deductive logical reasoning, especially in a visual way.