Design of Intelligent Real-Time Feedback System in Online Classroom

This study aimed to develop an online classroom real-time feedback system called AIClass, which provides personalized learning experiences based on cultural background, personal status, and learning effectiveness. Through user research, the study identified the needs and pain points of potential users and designed corresponding functions with prototypes. The key modules of the system included personalized voice features, data capture, real-time feedback, and voice interaction in complex environments. The system combined new technologies and specific scenarios, which may help stakeholders solve relevant problems in the future. However, the system has not undergone extensive user testing, and its effectiveness needs to be proven. Additionally, the current technical environment and other issues still present challenges such as hardware limitations, network delays and cost, and ethical concerns. Overall, this study provided valuable insights and a promising approach to optimize online learning experiences, with the potential to improve learning outcomes for students and reduce labor costs for educators.