Multiple Linear Regression Evaluation Method for Computer Aided Art and Design Course Grades

Abstract

With the update and development of current computer technology, the use of relevant computer technology for auxiliary design in art and design courses is one of the basic course contents of art and design majors. At present, there are some problems such as fuzzy evaluation in the evaluation of students' performance in computer art and design courses, and the lack of strong guidance for students' learning. Due to the phenomenon of vague or missing standards in the performance evaluation of art design majors, in order to increase the scientific nature of the evaluation of the test scores in the teaching process, based on the multiple linear regression theory of statistics, the test score indicators were quantified, and a test score evaluation method was established. The regression model systematizes and modularizes the evaluation framework, which can scientifically quantify the teaching effect, clarify the teaching purpose, and provide a theoretical reference for standardizing the teaching management of design majors. The research results show that the model is used to reasonably evaluate the data, and under sufficient conditions, the simulation test results are used to verify that the predicted results are reliable and reasonable.