Contribuições da robótica educacional na formação docente: identificação e aná- lise com técnicas de NLP e modelagem temática

Abstract

This article presents a bibliometric review focused on the contributions of educational robotics to teacher training. Based on an analysis of four databases (Scopus, Web of Science, ScienceDirect, and Dimensions) using specific keywords related to the topic, the study aimed to map the most relevant publications. Additionally, Natural Language Processing (NLP) techniques and Topic Modeling (LDA) were employed to identify thematic patterns in the selected articles, categorizing them by impact (cognitive, social, emotional, and technological) and educational context. The results reveal a significant increase in publications and the growing relevance of robotics as an active methodology in teaching. The findings also indicate that educational robotics is a promising interdisciplinary tool that fosters critical competencies such as computational thinking, problem-solving, and collaborative work, aligning with the principles of the Base Nacional Comum Curricular (BNCC). The study identifies key challenges for effective implementation, highlighting the need for adequate teacher training and curriculum integration. The conclusions suggest that, although educational robotics holds great potential, there are barriers to be overcome, especially in the continuing and initial training of teachers.