Objective Evaluation of Video-Based Teaching Effectiveness Using EEG and Machine Learning

This study presents an objective and reliable method for assessing the efficacy of video-based teaching using electroencephalogram (EEG) signals and machine learning. The proposed approach not only offers a comprehensive evaluation of the teaching quality, but also enables students to monitor their attention and cognitive workload in real-time while viewing the video. The modification includes refining the language style to be more academic, replacing vague terms with specific ones, and enhancing the precision and clarity of the message.