MATEC Web Conf.
Volume 173, 20182018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|Number of page(s)||5|
|Section||Modeling, Analysis, and Simulation of Intelligent Manufacturing Processes|
|Published online||19 June 2018|
Research on Evaluation of College Students' Professional Ability Based on K-means Clustering
School of Information Science and Engineering, University of Jinan Jinan 250022, PR China Nanxinzhuang Road No. 336
2 School of Information Science and Engineering, University of Jinan Jinan 250022, PR China Nanxinzhuang Road No. 336
3 School of Information Science and Engineering, University of Jinan Jinan 250022, PR China Nanxinzhuang Road No. 336
* Corresponding author : email@example.com
This paper presents a program to evaluate students' professional ability, which transforms the students and their teaching and practice activities during school into the form of topological graph, analyzes the similarity between student nodes, calculates teaching activities and students' professional ability through Apriori algorithm, and uses the K-means algorithm to cluster student data with different parameter sets based on different measurement goals. This paper analyzes the overall professional ability of students, compares cultivating differences among students in accordance with different professional ability, and finally gives the results of the analysis to facilitate teaching managers understand the distribution of students' professional ability to develop appropriate teaching plans.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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