Selection Model of Optimal Mixed Teaching Mode in Higher Vocational Colleges Based on Big Data

Abstract

Under the background of big data, we should select the best hybrid teaching mode in higher vocational colleges, improve the ability of big data analysis of the mixed teaching mode in higher vocational colleges, and improve the quality of hybrid teaching mode in higher vocational colleges. A model for selecting hybrid teaching mode in the optimal higher vocational colleges is proposed based on big data. The big data analysis model of hybrid teaching in the optimal higher vocational colleges is constructed, and the information fusion of the mixed teaching mode in the optimal higher vocational colleges is carried out by using the structured big data information recombination method. The characteristic quantity of the associated information describing the optimal hybrid teaching mode in higher vocational colleges is extracted, and the big data fusion scheduling and optimization selection of the mixed teaching mode based on the piecewise information fusion is adopted. According to the characteristic clustering results, the self-regression analysis of the evaluation ability of hybrid teaching in the optimal higher vocational colleges is carried out, and the test statistic model is constructed to optimize the selection of the hybrid teaching model in higher vocational colleges. The simulation results show that this method is used to select the mixed teaching mode in higher vocational colleges, the information fusion ability of outputting big data is better, and the accuracy of model selection is high.