An analysis of the profile of the Computer Science Course in the face of challenges in the high dropout and retention rates
dropout factors; retention factors; Higher Education; Computer Science.
This research aimed to analyze the factors that motivated student dropout and retention, including academic, social, and personal aspects, in order to share the results of this research to motivate the planning of actions that can contribute to the permanence of students in the Computer Science Course at the Multidisciplinary Institute (IM) of the Federal Rural University of Rio de Janeiro (UFRRJ). To this end, we chose a qualitative and quantitative (quali-quanti) approach as our methodology, considering them more pertinent to this investigation. The research field is structured in two data collection contexts. The first is based on information from data found in the Integrated Academic Activities Management System (SIGAA), and the second is a questionnaire administered to students of the course for a more detailed analysis of the causes of dropout and retention. We hope that this research will contribute as a basis for planning actions aimed at student retention in the course.