Identification of Factors and Teacher Profile Associated with Student Performance Using Fuzzy Techniques and Data Mining

The academic performance of students is one of the most relevant indicators in the quality of higher education, as well as the importance of the teacher profile in academic activity. This document explores the link between academic performance and the behavior of Engineering students and determines the teacher’s profile based on personality traits. Demographic, academic, and enrollment data of 2001 students were collected, in addition to analyzing the personality traits of four teachers with fuzzy techniques and the Big Five model. The results indicate that academic performance is largely linked to academic factors and specific course activities, and does not depend solely on demographic variables. The teacher’s profile showed a higher percentage in the personality trait of openness to experiences, which can play a crucial role in the academic success of students.