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In order to solve the deficiencies in the current teaching quality assessment process in colleges and universities and improve the accuracy of teaching quality assessment in colleges and universities, this paper takes the model of Chinese language and literature teaching as an example, and designs a college teaching quality assessment model based on data mining algorithms. The model firstly researches and analyzes the relevant literature on the current Chinese language and literature teaching quality evaluation, and establishes the influencing factors of the teaching quality evaluation in colleges and universities; then, collects the data of the influencing factors of the Chinese language and literature teaching quality, and establishes the learning sample of the teaching quality evaluation in colleges and universities. This paper introduces the data mining technology BP neural network to train the learning samples, form the Chinese language and literature teaching quality evaluation model, and analyze the superiority of the Chinese language and literature teaching quality model through specific examples. The results show that the data mining algorithm can describe the evaluation results of Chinese literature teaching quality level with high precision.

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