Educational data of college students based on SPSS technology

Xianfei Liang

doi:10.1117/12.3025658

8 April 2024 Educational data of college students based on SPSS technology

Xianfei Liang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130904K (2024) https://doi.org/10.1117/12.3025658
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

As an important branch of data mining, educational data mining is about how to mine potential and valuable information from a large number of student data, which has attracted the interest and attention of relevant scholars. Educational data mining is the use of mathematical methods and computer technology to dig out valuable information from the vast amount of educational data, so as to improve the quality of teaching and the level of educational management. This paper takes the teaching data of students majoring in electronic information in a school as the research object, and uses SPSS technology to analyze the correlation between the scores of C language in the compulsory course and the scores of advanced mathematics. The experimental results prove that, compared with other courses, there is a great degree of correlation between the two courses of C language and advanced mathematics. In addition, based on SPSS technology, the students’ sense of identity in the spirit of struggle education is analyzed. Through cross-analysis experiments, most students think that schools need to popularize the spirit of struggle education.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xianfei Liang "Educational data of college students based on SPSS technology", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130904K (8 April 2024); https://doi.org/10.1117/12.3025658

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