K-means cluster analysis of student performance at a Fujian Taiwan Cooperative University
- Resource Type
- Conference
- Authors
- Liu, Weixia; Chen, Ying
- Source
- 2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM) ICEKIM Education, Knowledge and Information Management (ICEKIM), 2021 2nd International Conference on. :483-486 Jan, 2021
- Subject
- Computing and Processing
Economics
Education
Clustering algorithms
Finance
Data collection
Information management
Interviews
K-means algorithm
cluster analysis
data mining
grade analysis
- Language
This study introduces the idea and basic workflow of the K-means clustering algorithm, which is then used to conduct a cluster analysis of the scores of financial-major students taking basic courses at Fujian Taiwan Cooperative University. Through a cluster analysis, the distribution of students' scores in each course is determined. It provides a basis on which teachers can formulate personalized guidance strategies and students can adjust their learning time and energy.