Emotion Trajectory and Student Performance in Engineering Education: A Preliminary Study

Edouard Nadaud, Antoun Yaacoub, Siba Haidar, Bénédicte Le Grand, Lionel Prevost

Abstract: In this study, we aim to establish the connection between the emotional trajectory of students during a pedagogical sequence and their performances. The project aims to develop an affective and intelligent tutoring system for detecting students facing difficulties and helping them. We designed this experimentation during the 2022–2023 academic year with students in a French engineering school. We collected and analyzed two primary data sources: student results from the Learning Management System (LMS) and images captured by students’ webcams during their learning activities.