ANALYSIS OF THE EXAM SITUATION BASED ON CLUSTERING ALGORITHM NORMAL COLLEGE OF BEIJING UNION UNIVERSITY

Authors

  • Feng Han (Corresponding Author) Teachers' College of Beijing Union University, Beijing, 100011, China

Keywords:

Civil Administration, Fuzzy Computing, Grey Relational Analysis (GRA), Analytic Hierarchy Process (AHP).

Abstract

In this paper, k-means clustering algorithm is applied to the analysis and research of students' final examination of advanced mathematics, and students' scores of different types of questions are taken as indicators for clustering. We should carry out stratified teaching for different types of students and properly group cooperative learning, so as to better grasp the learning situation of students.

References

[1] . Hao Linqing. Research on the evaluation system of classroom teaching quality in colleges and universities [D]. China University of geosciences (Beijing), 2017.

[2] . He Yulin, Hua Zhexue. Journal of shenzhen university (science and technology edition), 2019, 36(01):4-17. (In Chinese).

[3] . Zhu Jianyu. Research and application of k-means algorithm [D]. Dalian university of technology, 2013

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Published

2019-09-01

Issue

Vol. 1 No. 1 (2019)

Section

Articles

How to Cite

Han Feng. Analysis of the exam situation based on clustering algorithm normal college of beijing union university. Eurasia Journal of Science and Technology. 2019, 1(1): 18-19.