Enhancing Remote and Face-to-Face Learning: Real-Time Feedback System for Teaching Platforms

• Published in: 2023 12th Mediterranean Conference on Embedded Computing (MECO) p. 1
• Main Author: Dahnoun, Naim
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.06.2023
• Subjects: Biomedical engineering; Computer science; Embedded computing; Graphical user interfaces; Real-time systems; Streaming media; Training
• ISSN: 2637-9511
• DOI: 10.1109/MECO58584.2023.10154911

Teaching platforms have revolutionised remote learning and educational experiences. However, they face significant challenges that affect their effectiveness. This talk provides an overview of these challenges and their impact on educators, students, and the learning environment. To address the crucial issue of engagement and interactivity, a real-time feedback method for both videoconference-based and face-to-face training is proposed. Students are empowered with a dedicated graphical user interface (GUI) to provide feedback while viewing the video stream. The feedback data is processed to generate teacher feedback, representing the collective student responses. The teacher GUI displays this feedback during the videoconference, enabling immediate adjustments without disrupting the training. This proposed method ensures rapid teacher reactions to student feedback within seconds. By separating the video stream and GUI elements, computational requirements are minimized, ensuring efficient handling of both components. Moreover, the method is flexible and compatible with various videoconferencing platforms, allowing seamless integration into existing educational settings. In this keynote, the real-time feedback system addresses the limitations of traditional feedback methods in both virtual and face-to-face training. By leveraging student and teacher GUIs, the system facilitates seamless feedback collection and prompt adjustments without disrupting the training session. Its practicality and efficiency enhance communication and enable effective teaching. Additionally, the system offers an easy-to-use, low-cost, and scalable solution with additional features at minimal cost. It includes a low-cost server with limited student traffic, supports real-time voting, automatic video-to-slide conversion, lecture speed control, and automatic erasure of student annotations. Importantly, system failures do not impact primary platforms such as Zoom or Teams, ensuring uninterrupted functionality.