Abstract
One of the biggest drawbacks of online education using virtual environments is that teachers cannot see students' facial expressions. In offline classes, teachers usually observe students' expressions to determine if they are focused or enjoying the lesson, and they can adjust their teaching accordingly. For example, if a teacher notices that students are losing focus, they can slow down the pace of the lesson or tell an interesting story to regain their attention. However, in a virtual environment, it is impossible to see students' expressions, making it difficult to gather any information about them. As a result, instructors may feel like they are teaching in isolation and are unable to appropriately respond to students' reactions. This can easily lead to a lack of interaction between the teacher and students. This issue has already been raised in other studies, and research has been conducted to measure student engagement and attention. However, existing systems typically measure overall engagement for the entire class or represent the data in numbers or graphs, which doesn't provide impactful real-time feedback to the instructor. This study proposes an online education system that visually displays each student's level of engagement and attention in real time to address this issue. The key advantage of this system is that it allows teachers to quickly and intuitively grasp students' reactions and adjust their teaching in real time accordingly.