Around the world women end up being less interested in areas related to the sciences, technology, engineering and mathematics, or shortly STEM. Therefore, it is important that governments around the world maintain an active interest in getting women to continue in STEM careers. In this context, this work was divided into three main phases, the first was to conduct a search through a related works that were published involving the development of projects aimed at the engagement of girls students or female teachers/professionals within the context of STEM or Robotics, between the years 2018 and 2020. In this case, seven works were found within these criteria, including one Brazilian project. Subsequently, analyzes were carried out of the 85 projects that are being financed by the federal government of Brazil within STEM. The last analysis was a case study to evaluate the engagement of female teachers and students in a medium-sized city in the interior of the southeastern region of Brazil. In this case, we carried out the analysis with the teachers and students, as well as with an external audience. We carry out our analyzes through statistics and analysis of feelings and opinions, in addition to data visualizations. In the end, we conducted through data mining of unsupervised machine learning, analyzes of the groups of people we are interested in engaging, which are groups of young people, especially girls who are interested in STEM, but with little knowledge in Robotics. This strategy was put on the schedule, because we will aim to increase the knowledge of these girls in STEM, especially in robotics, which is the focus of our study and research group. Finally, results have shown that this project has improved a major social and encouraging role for these girls in the field of exact sciences, computing and engineering.

在世界各地，女性最终对与科学、技术、工程和数学或简称 STEM 相关的领域不太感兴趣。因此，世界各国政府必须积极关注让女性继续从事 STEM 职业。在此背景下，这项工作分为三个主要阶段，第一阶段是对已发表的相关作品进行搜索，这些作品涉及开发旨在让女学生或女教师/专业人士在 STEM 或机器人技术，2018 年至 2020 年之间。在这种情况下，在这些标准内发现了七件作品，其中包括一个巴西项目。随后，对巴西联邦政府在 STEM 内资助的 85 个项目进行了分析。最后的分析是一个案例研究，以评估巴西东南部内陆地区一个中等城市的女教师和女学生的参与度。在这种情况下，我们与教师和学生以及外部观众一起进行了分析。除了数据可视化之外，我们还通过统计和分析感受和意见来进行分析。最后，我们通过无监督机器学习的数据挖掘，分析了我们感兴趣的人群，这些人群是年轻人，尤其是对 STEM 感兴趣但对机器人知识知之甚少的女孩。这个策略被提上了日程，因为我们的目标是增加这些女孩在 STEM 方面的知识，特别是机器人技术，这是我们研究小组的重点。最后，