Exploration of Computer Teaching Reform in Colleges and Universities under the Background of Informatization

Author:

Luo Wei1,Wang Qi1

Affiliation:

1. 1 Informatization Office , Henan Finance University , Zhengzhou , Henan , , China .

Abstract

Abstract Computer teaching in colleges and universities under the background of informationization is developing rapidly, but the teaching mode still has more serious problems, and computer teaching reform needs to be emphasized. This paper first proposes solutions to the problems of computer teaching in colleges and universities. Secondly, it uses hierarchical analysis to construct a computer teaching evaluation system model, then carries out educational information data mining through the DMOTE method, and uses C4.5 to optimize the model of DMOTE. Setting up a controlled experiment to analyze the students’ performance after receiving teaching reform, most of the students in the experimental group scored in the two segments of 80-89 and 90 or more, accounting for 60%, and the number of students scoring less than 60 points was less, only 6%. After the reform of the computer model, the students’ performance improvement is more obvious, and the reform effect is good.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference17 articles.

1. Zhang, N. (2019). English teaching reform of computer major supported by the mobile learning. Basic & clinical pharmacology & toxicology.(S9), 125.

2. Jiang, L. (2021). Virtual reality action interactive teaching artificial intelligence education system. Complexity, 2021.

3. Fan, X., & Zhong, X. (2022). Artificial intelligence-based creative thinking skill analysis model using human–computer interaction in art design teaching. Computers and Electrical Engineering(100-), 100.

4. Ma, Z. (2019). Application of the computer aided instruction in the reform of college physical education classroom teaching. Basic & clinical pharmacology & toxicology.(S1), 124.

5. Huafeng, L. (2020). Analysis of computer teaching pattern based on outlier data mining and machine learning. Journal of Intelligent and Fuzzy Systems, 40(2), 1-11.

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