Construction Method of Artificial Intelligence Automatic Evaluation and Feedback Platform for Students'Attention Based on Expression Recognitionrecognition
The emotional state of students has a significant impact on the learning effectiveness in classroom teaching,and their emotional state can often be judged through micro expressions,which helps to improve teaching quality.This article proposes a method for constructing a student focus feedback platform based on facial expression recognition,addressing the issues of low student participation and poor motivation in the teaching process.Aiming to use machine vi-sion technology to monitor and record students'micro expressions in real-time in the classroom,and develop analysis algorithms for classroom micro expressions based on deep learning and computer vision technology.By automatically evaluating the collected micro expressions using artificial intelligence,accurate judgment of student emotional states can be achieved.Thus provi-ding teachers with real-time feedback and evaluation reports on student emotional states,achie-ving personalized teaching and guidance for students,and improving learning outcomes and teaching satisfaction.The research results indicate that the system built on this platform can ac-curately collect and provide feedback on student expression information,which is beneficial for improving student focus and achieving better teaching outcomes.
expression recognitionStudents'concentrationFeedback platformAutomatic eval-uation of artificial intelligence
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