Research on Course Quality Evaluation System Based on Artificial Intelligence

摘要

In view of the complexity and inefficiency of the course quality assessment process, this paper conducts an in depth study of behavior analysis technology and designs an automated and intelligent curriculum quality assessment system. The system uses various artificial intelligence algorithms to analyze the collected images and text data related to classroom quality and produce objective visual results. The course quality assessment system is divided into four functional modules: curriculum quality index management, data acquisition management, data analysis management and system of rights management, which can quickly generate visual course quality assessment results based on data analysis results. By comparison, the results of intelligent evaluation and existing artificial evaluation have high consistency. The system is fully functional and intelligent at the touch of a button, which can greatly improve the efficiency of curriculum quality assessment and reduce the complexity of work.