Evaluation of online teaching quality in colleges and universities based on digital monitoring technology

The intelligent university teaching detection system can effectively improve the teaching efficiency of university classrooms and improve the teaching environment. In order to improve the quality of online teaching supervision, this study combines digital monitoring technology to monitor the online teaching process in colleges and universities, and analyzes the method and process of using the equivalence line and the rotation theorem to estimate the projection angle. This work applies a projection method to digital teaching detection, improves the algorithm based on requirements, uses factor improvement methods to improve the problems in model application, uses requirement analysis methods to construct a system model, and uses experimental analysis methods to verify the effectiveness of the proposed algorithm and model. With the support of simulation platforms and mathematical statistical methods, the effectiveness of the system model is verified in this work. From the evaluation results, it can be seen that the evaluation results of the system model in this work are distributed between [84,92], indicating that the use of the system in this study is very excellent. The experimental research shows that the digital online monitoring technology proposed in this study can monitor students in real time in online teaching in colleges and universities, effectively improve the participation of students in the online teaching process, and play an important role in improving the quality of teaching.