Mode and Effect Evaluation of Classroom Regulation Under Hybrid Teaching Mode in Colleges

Abstract

Under hybrid teaching mode, teachers often find it hard to control the rhythm of the classroom, and need to sort out the relationship between various elements in the class. To achieve the ideal teaching effect through classroom regulation, this paper explores the mode and effect evaluation of classroom regulation under hybrid teaching mode in colleges. Firstly, the authors preprocessed and extracted features from the data on classroom regulation indices, and explained the training process and steps of the proposed backpropagation neural network (BPNN). Based on fuzzy comprehensive evaluation (FCE), a state evaluation model was established for classroom regulation, and the construction procedure was detailed for the multi-level FCE model. Next, an index system was constructed for the effect evaluation of classroom regulation under hybrid teaching mode in colleges, and the evaluation process was clarified for the classroom regulation effect. Finally, several experiments were carried out to examine the implementation of classroom regulation measures in different periods, and obtain the evaluated effects of classroom regulation.