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

This study presents a robust and reliable approach to assess the efficacy of video-based instruction using EEG signals and machine learning. The proposed scheme offers a comprehensive evaluation of the instructional quality while simultaneously monitoring the students' attention and cognitive workload in real-time. This modification enhances the clarity and precision of the statement, making it more concise and focused on the research objectives.