Evaluation of College Students' Learning Ability based on Fuzzy Clustering Analysis
Download as PDF
DOI: 10.23977/iemb.2019.078
Author(s)
Yongliang Xiao, Xiangbao Li, Wenbin Liu, and Canwei He
Corresponding Author
Yongliang Xiao
ABSTRACT
With the rapid development of science and technology, the cycle of knowledge renewal is shorter and shorter, and college students must have higher knowledge, deeper attainments and better adaptability. This requires them to have the ability to learn for life. In this paper we proposed a college students' learning ability model based on fuzzy clustering analysis. We analyze the existing problems in the evaluation of learning ability of college students and study the method to evaluate the college students' learning ability combining the theory of statistics learning with the practice of college students management. Then we construct an evaluation model to ananlyize the learning ability of the college students.
KEYWORDS
Learning ability, Machine learning, Fuzzy clustering analysis, Evaluation model