Objective Video Teaching Effectiveness Evaluation Using EEG and Machine Learning

This study presents a novel and robust methodology for objectively and accurately assessing the efficacy of video teaching by utilizing EEG signals and machine learning techniques. The proposed approach not only offers a comprehensive evaluation of the teaching quality but also tracks the students' attention levels and cognitive load during the video session in real-time. This modification aims to enhance the clarity and conciseness of the original passage while maintaining its academic language and rigor.