Uso da inteligência artificial no ensino das Leis de Newton para o 9º ano do ensino fundamental

Abstract

This study aimed to analyze the application of educational chatbots in teaching Newton's Laws, highlighting their contributions to personalized learning and interactive support for students. This study used a qualitative approach, through a systematic literature review, analyzing scientific articles published in recent years that deal with the application of educational chatbots in Physics teaching, with a focus on Newton's Laws. The selection criteria included thematic relevance, year of publication, and credibility of academic sources. The results showed that educational chatbots make the teaching of Newton's Laws more dynamic, interactive, and personalized, offering real-time responses, experiment suggestions, and adaptation to the students' pace. Technology contributes to the retention of knowledge and makes Physics teaching more accessible. However, the lack of adequate technological infrastructure and the need for teacher training are still challenges to its implementation. It is concluded that Artificial Intelligence should be used as a complementary tool to traditional teaching, requiring investments in continuing teacher training and access to technologies in schools, to ensure its effectiveness in the educational process. The results showed that educational chatbots make the teaching of Newton's Laws more dynamic, interactive and personalized, offering real-time responses, experiment suggestions and adapting to the students' pace. Technology contributes to the retention of knowledge and makes Physics teaching more accessible. However, the lack of adequate technological infrastructure and the need for teacher training are still challenges to its implementation. It is concluded that Artificial Intelligence should be used as a complementary tool to traditional teaching, requiring investments in ongoing teacher training and access to technology in schools, to ensure its effectiveness in the educational process.