A Data Fusion Method of Information Teaching Feedback Based on Heuristic Firefly Algorithm

In order to obtain more accurate teaching feedback information, an information-based teaching feedback data fusion method is designed based on the heuristic firefly algorithm. Establish the entity network of the data to be fused, feedback the characteristic matrix of the data, and obtain the correlation degree of parameters such as grade grade grade, individual grade, class grade, and score rate of each question. The cosine similarity and basic similarity of different feedback data are obtained, and the data fusion entity framework is constructed on this basis. The data fusion method is designed based on the heuristic firefly algorithm, and the parameter dynamic control of the firefly algorithm is implemented to realize the information teaching feedback data fusion. The experimental results show that the number of data fusion categories is proportional to the fusion time. The more data categories to be fused, the longer the fusion time.