A Monitoring Method Based on EEG Data and Deep Learning

In the context of modern education, the pursuit of effective teaching and learning has been constantly evolving. With the increasing emphasis on personalized education and the need to understand students' cognitive processes in real-time, the limitations of traditional teaching assessment methods have become more prominent. This paper presents a monitoring method for real-time assessment of students' classroom understanding based on EEG data and deep learning. By addressing the limitations of traditional teaching assessment methods, this approach aims to provide educators with more accurate and timely feedback. The proposed method utilizes specific EEG data, advanced data processing techniques, and deep learning algorithms to achieve high-accuracy monitoring.