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This article aims to discuss lack of representativeness in female video game characters. This article is also continuity of the study "The Representation of Women in Games" published in the biennial "XVI Brazilian Symposium on Games and Digital Entertainment" now bringing an analysis of twelve female characters. By analyzing some characters, it was possible to show the stereotypes impregnated by the female figure and how much the reflection of this cause leads to the lack of female representativeness in video games. It was also possible to present characters that come out of the patterns of representation, showing that it is possible to have diversity and representativeness in video games. ResumoO presente artigo tem o intuito discutir falta de representatividade em personagens femininas de vídeo game. Este artigo também é continuidade do estudo "A Representatividade das Mulheres nos Games" publicado nos anais "XVI Simpósio Brasileiro de Jogos e entretenimento Digital" trazendo agora uma análise de doze personagens femininas. Ao analisar algumas personagens ficou possível mostrar os estereótipos impregnados a figura feminina e o quanto o reflexo dessa causa leva a falta de representatividade feminina nos videogames. Também foi possível apresentar personagens que saem dos padrões de representação, mostrando que é possível haver diversidade e representatividade nos videogames.Palavras-chave: game, mulheres, representatividade.

In this article, we present an analysis of data from an Intelligent Tutor System (ITS) created by a group of Brazilian researchers. The STI was used by approximately 19,000 users from elementary to higher education in public schools. The research methodology used was quantitative and qualitative exploratory analysis. The data set for this study was obtained through the students' interactions with the STI during remote teaching. In the data analysis, information from the students' profiles (age, frequency of access, etc.) and interactions were used, for example, the exercises were solved with objective and descriptive questions to identify the student's abilities and challenges. A total of 2,514,219 responses were analyzed in the STI until 05/31/2021, with 1,533,946 answers to objective questions and 980,273 answers to discursive questions. In the results, it was possible to observe a tendency towards the mastery of mathematics and languages and an excellent performance in 69% of the total answers, which obtained maximum scores in the questions.

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