Development of an Emotion Detection-Based Learning System for Engineering Students at Makassar State University

This study aims to develop an emotion detection-based learning system for engineering students at Makassar State University. The goal is to create a learning environment that is responsive to students' emotional needs, thereby increasing their engagement and academic achievement. The system is designed to monitor students' emotional states in real time, allowing educators to dynamically adjust their teaching methods. The research methodology was carried out through several systematic phases, namely the planning phase (problem identification), design phase, development phase, stabilization phase (testing), implementation phase, and evaluation phase. The study involved 36 students from the Electronic Engineering Education study program as samples. The evaluation method used the System Usability Scale (SUS) with a questionnaire consisting of 10 items to assess the system's usability and acceptability. The results showed that this emotion-detection-based learning system had a good level of usability, with an average SUS score of 78.33. The majority of students found the system easy to use, efficient, and enjoyable. This system has also been proven effective in increasing student engagement during the learning process, as well as providing real-time feedback that helps educators adjust their teaching methods. The emotion detection-based learning system developed in this study has succeeded in creating a learning environment that is more responsive and adaptive to the emotional needs of students. With a high usability score, this system is well-received by users and has the potential to improve learning effectiveness. This research makes a significant contribution to the development of more inclusive and holistic education by combining technology and student-centered pedagogical approaches.