Evaluation Method of Online Teaching Effect of Chinese Painting Art Appreciation Course in Colleges and Universities Based on Machine Learning Model
摘要
In order to promote the benign development of online teaching and improve the quality of online teaching evaluation, this paper proposes an online teaching effect evaluation method of Chinese painting art appreciation course in colleges and universities based on machine learning model. Based on the classroom teaching evaluation model of higher vocational colleges, this paper constructs a teaching evaluation scale, establishes an evaluation index system, and standardizes the evaluation indicators. The Naive Bayesian classification algorithm is applied to train the evaluation index, calculate the weight value of the evaluation index, and automatically give the evaluation result value according to the specific evaluation data. The results show that after the application of the proposed evaluation method, the categories corresponding to the maximum online teaching effect of the Chinese painting art appreciation course in five colleges and universities are general, good, general, poor and very good, which proves the effectiveness of the evaluation method.