| Summary: | This paper is oriented to the all-media vision to run the database mechanism in a multidimensional interactive teaching system for environmental art and design majors to maximize the possibility of predicting the probability distribution of the next course. Installing the database on the server enables data interaction within the system. Use a wavelet neural network for training to achieve the balance of communication channels. The results show that the mean square error of the system designed in this paper is under 0.1, the minimum average response time is 120.6ms, and the score of the important factor of student course evaluation is 75. The all-media vision can provide teaching design ideas for the teaching process of environmental art design majors and nurture applied design talents, as demonstrated.
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