Student cooperation state evaluation method and system based on brain-computer interface

Abstract

The invention provides a student cooperation state evaluation method and system based on a brain-computer interface. The method comprises the following steps: determining brain wave data of a student in a cooperation learning process, the brain wave data being collected by using a brain-computer interface technology; inputting the brain wave data into a trained classifier, and classifying the cooperation learning states of the students, wherein the cooperation learning states comprise interactive learning, construction learning, active learning and passive learning. The classifier is constructed based on a long short-term memory (LSTM) network and is used for classifying the cooperation learning states of the students according to the brain wave data in the cooperation learning process of the students. The brain-computer interface and machine learning technology is adopted, the cooperation learning state of the students is automatically monitored, and compared with a traditional method for judging the states of the students through observation of teachers, the method is more scientific and efficient.

Description

technical field [0001] The invention belongs to the field of student status monitoring, and more specifically relates to a method and system for assessing student collaboration status based on a brain-computer interface. Background technique [0002] Patent CN201810429318.X discloses a learning status monitoring system based on brain wave analysis and its usage method. Use the brain wave collector to preprocess the collected brain wave information, and send the information collected by the question bank APP on the tablet to the signal classification and feature extraction module; the background diagnosis server is used to analyze the extracted brain wave signals Through the PIK core algorithm for processing and correlation analysis, the students' learning status can be diagnosed. Although this invention realizes the collection of students' EEG signals so as to monitor the students' status, the teacher can only understand the students' learning status according to the final ...

AI Technical Summary

Problems solved by technology

[0004] In view of the defects of the prior art, the purpose of the present invention is to provide a method and system for assessing students' cooperative status, aiming to solve the problem that the existing learning status monitoring system for brain wave analysis is not suitable for the diagnosis of students' status in the collaborative learning scene

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