The Evaluation Method of Online and Offline Blended Teaching Quality of College Mathematics Based on Bayes Theory

Due to the current online and offline mixed teaching quality evaluation methods of mathematics, the index weight evaluation criteria have not been determined, resulting in low accuracy of evaluation index weight calculation results and small discrimination of evaluation results. For this reason, a Bayesian online and offline college mathematics online and offline based on Bayesian theory is proposed. Mixed teaching quality evaluation method. Based on the domestic and foreign research results of teaching quality evaluation and the principle of determining the price index, the teaching quality evaluation index is set, and the online and offline mixed teaching quality evaluation index of mathematics is divided into three levels; the index weight evaluation standard is determined, and the teaching quality evaluation index weight is calculated. Carry out consistency test; use the expected value and revised probability of Bayesian theory to construct the teaching quality evaluation model, design the teaching quality evaluation set, and complete the online and offline mixed teaching quality evaluation of mathematics. The experimental results show that the method for evaluating the quality of online and offline mixed teaching of mathematics in this study, when evaluating the quality of online and offline mixed teaching of mathematics in colleges and universities, the calculation results of the evaluation index weights are accurate and the evaluation results are highly differentiated.