Optimizing Strategy of Computer Teaching Mode in Universities Based on Continuous Discrete Method

Abstract

Abstract To improve the teaching effect of computer courses, make students master computer knowledge, and improve computer operation skills, this paper proposes a computer teaching model of continuous, discrete methods in colleges and universities. This paper investigates the teaching mode of traditional computer teaching methods in colleges and universities and proposes a continuous, discrete computer teaching model for the drawbacks of traditional computer teaching methods. The discrete learning teaching matrix and teaching process are constructed using the information entropy-based rough set discretization algorithm. Moreover, the teaching effects are compared with traditional methods regarding students’ learning interests, homework completion, and test scores. In terms of homework completion rate: the correct homework rate of the class using the discrete learning method was 20% higher than that of the class using the traditional teaching method. Regarding skill and overall test scores, the number of students who excelled in the classes using discrete learning reached about 50%, 20% more than the conventional teaching method. 20% fewer students scored below 60 than in the classes using the conventional teaching method. Moreover, after implementing discrete learning concept teaching, students’ interest in learning increased by more than 40%. Therefore, it can be seen that the teaching mode of the discrete learning concept is beneficial to the teaching of computer courses.