Study on Teaching Mode Selection Model Based on Big Data

Abstract

the selection of teaching mode is related to the improvement of teaching quality. In order to improve the quality of teaching and promote the transformation of teaching results, combined with big data statistical analysis method, a choosing teaching method is proposed based on big data's analysis, which constructs the statistical analysis model of teaching mode selection by descriptive statistical analysis method, and extracts the quantity of characteristic information that reflects the optimization of teaching method selection. The big data analysis model based on fuzzy C-means clustering is used to evaluate the performance of teaching methods, and the method of segmental sample detection is used to carry out regression analysis to realize the sample fitting of teaching method selection. The mathematical model of teaching mode selection is designed through the sample fitting result, and the statistical mathematical model based on big data's teaching mode selection is constructed. The simulation results show that the method is used to select the teaching method; it can effectively extract the regular characteristic quantity, which reflects the teaching performance, realizes the association rule mining of the choice of teaching method. The teaching mode is selected according to the result of big data mining and statistical analysis, improving the teaching quality, and promoting the reform of teaching methods.