Design and implementation of student achievement analysis system based on data mining technology

Dianwei Chi; Chen Yin; Yinyin Huang

doi:10.1117/12.2639681

19 October 2022 Design and implementation of student achievement analysis system based on data mining technology

Dianwei Chi, Chen Yin, Yinyin Huang

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122944G (2022) https://doi.org/10.1117/12.2639681
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

With the improvement of education informatization, a large amount of data related to education and teaching has been accumulated, and colleges and universities have begun to use data mining to analyze and study student achievement. In order to excavate the internal relationship between different courses and find out the relationship between students' achievement and their own attributes and external factors, this paper designs and implements a student's achievement analysis system with Apriori as the core algorithm. The system adopts the Apriori algorithm of the Weka framework as the model and Java as the development language, and finally generates the association rules related to the students' academic performance, which provides auxiliary decision support for the improvement of school teaching.

Citation Download Citation

Dianwei Chi, Chen Yin, and Yinyin Huang "Design and implementation of student achievement analysis system based on data mining technology", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122944G (19 October 2022); https://doi.org/10.1117/12.2639681

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