EEG-Based Evaluation of Video Teaching Effectiveness: A Machine Learning Approach

This study presents an objective and valid solution for effectively evaluating the efficiency of video teaching using EEG signals and machine learning. The proposed scheme not only offers a comprehensive evaluation of the quality of teaching, but it also provides students with real-time information about their attention and mental load while viewing the video. The modification includes refining the language for academic writing, such as using precise and concise phrasing, and emphasizing the significance of the proposed solution in the field of education.