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dc.creatorHansen, Luiza
dc.creatorBorges, Vinicius
dc.creatorAraujo, Aleteia
dc.creatorHolanda, Maristela
dc.date03/13/2020
dc.date.accessioned2020-03-13T18:34:23Z
dc.date.available2020-03-13T18:34:23Z
dc.identifierhttps://revistas.utp.ac.pa/index.php/memoutp/article/view/2488
dc.identifier.urihttps://ridda2.utp.ac.pa/handle/123456789/10291
dc.descriptionThe presence of women in technology-related courses is declining every year, reaching in 2016 less than 20% of the total student body in the Department of Computer Science in UnB (Universidade de Bras´ılia). This paper uses visualization techniques to analyze and identify profile patterns in girls on undergraduate courses in the computing field. Dimensionality reduction technique (PCA), HeatMap and Parallel Coordinates were used for the visual data analysis process, considering the students’ situation in relation to UnB (active, drop out or graduated). In this work, the existing correlations between variables were evidenced, with more in-depth analysis of the association between entrance period and the nature of the university departure form and period of the university attendance. Also, the students participating in the quota schema were analysed and the study suggests that there is no correlation between students enrolled under the quota system and the form of departure from the course. es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad Tecnológica de Panamáes-ES
dc.relationhttps://revistas.utp.ac.pa/index.php/memoutp/article/view/2488/3285
dc.rightsinfo:eu-repo/semantics/openAccesses-ES
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/es-ES
dc.sourceMemorias de Congresos UTP; 2019: XI Congreso de la Mujer Latinoamericana en la Computación - LAWCC 2019; 42-50es-ES
dc.titleVisual Analisys of Educational Data: A Gender Study in Computer Courses in University of Brasiliaes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArtículo revisado por pareses-ES


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