IoT Promoting Student Engagement in Class

The pandemic has brought as a legacy a vast growth in online teaching that must use strategies different from in-person teaching. In both environments, it is crucial for learning to capture the student's attention and propose activities that maintain the necessary focus. However, it is difficult to capture attention in real life due to inexperienced teachers, classrooms with many students, students with too many other activities, their attention divided with other electronic devices, or simply a lack of interest in the topic. It is possible to support this complex scenario with technology. Some proposals for using technology to monitor attention require using headbands; others harm students' privacy. In this proposal, we have a camera measuring the room's attention that does not perform facial recognition but uses AI to calculate the position of the students' faces, indicating their engagement. An application for the teacher available during the class summarizes what the system captures and can suggest actions for improvement. The data is also processed in an application for managers. Initial tests indicated helpful support for the teacher to better interact with the students and for successful learning.