Evaluation model of art internal auxiliary teaching quality based on artificial intelligence under the influence of COVID-19

Luo Yuan, Zhao Xiaofei, Qiu Yiyu, Xiaolong Li
2020 Journal of Intelligent & Fuzzy Systems  
At present, the evaluation of normal teaching order and teaching quality has been seriously interfered by the impact of COVID-19. In order to ensure the quality of art classroom teaching, this article uses BP neural network technology to build a model for art teaching quality evaluation during the epidemic. Based on the introduction of the BP neural network model and the problems of art teaching quality evaluation, the article focuses on the art teaching quality evaluation indicators and the BP
more » ... neural network algorithm and process. In addition, the article also uses an empirical method to verify the effect of the BP network model training method, and obtains the expected effect. Finally, it discusses the problem of information processing in art teaching evaluation.
doi:10.3233/jifs-189267 fatcat:2skogzb46ncnpjrcgo5ki6fzuy