Uso da Mineração de dados para análise da presença feminina nos cursos técnicos da computação do IFBA

Abstract

The presence of girls and women in computer courses is still lower than of men, when compared. In this way, the objective of this research is to trace, through the Knowledge Discovery Process in Database and Data Mining, an analysis of female participation in technical courses in the field of Computing, offered by the Federal Institute of Bahia, with a focus on the Seabra campus. The research was developed in 5 stages that included the following actions: bibliographic survey, survey of data from the Unified Public Administration System, application of the form “Women in Computing in the IFBA network”, Data Mining with the Weka software, and analysis of the results obtained. These results indicate that the girls, for the most part: entered the area due to the influence of family and friends, and not because of affinity; they claim to have already felt insecure and discouraged at some point during the course, thinking of abandoning it; recognize the existence of gender disparity in their school environment, pointing this as one of the factors responsible for the discouragement experienced; think that having women as teachers in this area has a positive influence on the teaching-learning process. In addition, it was found that at the Seabra Campus – scenario that sets the focus of this research -, girls are the majority among those entering Computer courses, but they are also the majority among students who drop out of these courses. It is necessary to reflect, however, how the gender inequalities that persist in this context are configured, so that strategies that ensure the participation and continuation of the female public in this area are developed.