Intelligent Analysis of Students Profile about Dropout Factors: A Study in Information System Course Context

Student dropout from higher education is still a challenge, imposing a financial and human burden and refusing students to learn. Brazil witnessed a university dropout rate of almost 55%. This work aims to analyze the factors that lead to student dropout from Information System courses, exploring the profile of students, using intelligent techniques. The information obtained can help reduce the evasion rate and identify key actions to control the problem. We used the Design Science Research methodology to conduct our study. An analysis with data from a university, considering the LGPD was conducted to verify the proposal's feasibility. Our results show that the solution can help identify key factors that lead to dropping out.