Dynamic early warning system of College Students’ target course performance based on improved Apriori algorithm

Article type: Research Article

Authors: Sun, Guohong^{a; *} | Guo, Shaocui^{b; *} | Hao, Guo^{b; *} | Yang, Wenbo^c

Affiliations: [a] School of Open Education, Yantai Vocational College,Yantai, Shangdong, China | [b] Department of Architectural Engineering, Yantai Vocational College, Yantai, Shangdong, China | [c] General Affairs Office, Yantai Vocational College, Yantai, Shangdong, China

Correspondence: [*] Corresponding authors: Guohong Sun, School of Open Education, Yantai Vocational College, Yantai, Shangdong 264670, China. E-mail: [email protected],DepartmentofArchitecturalEngineering,YantaiVocationalCollege,Yantai,Shangdong264670,China.E-mails:[email protected];[email protected].

Abstract: The early warning system of College Students’ target course achievement is an important part of the educational administration system in Colleges and universities. This paper proposes to use some techniques of association principle to mine a large amount of data in the performance system to a certain extent, and obtain available rules from the data. Based on the characteristics and shortcomings of Apriori algorithm, an improved Apriori is proposed. The algorithm can process and mine the data in the early warning system of College Students’ scores, and finally obtain the management principles, thus forming an effective early warning for the course learning. In order to promote the improvement of students’ academic performance and achieve the ultimate goal of cultivating excellent talents in Colleges and universities.

Keywords: Improved Apriori algorithm, college students, target course, achievement, early warning system

DOI: 10.3233/JCM-215432

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 6, pp. 1779-1795, 2021