The work aims to measure the user experience level of the MOOC platform and explore the main factors that affect the user experience, using a combined method of EEG technology and subjective questionnaires, and to provide design optimization suggestions. EEG signals were collected from each subject while using the MOOC platform, and the subjective evaluation of users was obtained through a user experience questionnaire. Frequency domain analysis was used to extract rhythmic wave energy values and conduct quantitative analysis to explore the inherent relationship between rhythmic wave energy and subjective evaluation, thus achieving a quantitative analysis on the user experience level of the MOOC platform. The MOOC platform of Chinese universities has a better user experience than the Xuetang platform. The usability and findability of the MOOC platform are important factors that affect user attention, cognitive load, and arousal, while the pleasantness of the MOOC platform is the main factor that influences user emotions.