摘要
利用数据挖掘技术,充分挖掘教育大数据的内在价值,构建科学的学生综合素质评价机制,对五年制高职人才培养的创新式发展意义重大。采用主成分分析法这一数据挖掘技术,结合五年制高职会计信息管理专业的学生评价数据,构建了一套客观、全面的多维度学生综合素质评价体系,促进了五年制高职学生评价机制的不断完善。
The innovation of talent cultivation mode of 5-year higher vocational education is inseparable from the reform and development of student evaluation.It is of great significance for the innovative development of five-year vocational talent training to fully tap the intrinsic value of educational big data and build a scientific evaluation mechanism for students'comprehensive quality.This paper adopts the data mining technology of principal component analysis and combines with the evaluation data of students majoring in accounting and information management in five-year higher vocational colleges.It constructs a set of objective and comprehensive multi-dimensional students'comprehensive quality evaluation system,and promotes the continuous improvement of five-year higher vocational students'evaluation mechanism.
作者
程弘宇
CHENG Hong-yu(Department of Commerce and Tourism,Huishan Secondary Professional School of Jiangsu Province,Wuxi 214000,China)
出处
《沈阳工程学院学报（社会科学版）》
2023年第2期138-144,共7页
Journal of Shenyang Institute of Engineering:Social Science
关键词
五年制高职
数据挖掘
综合素质
评价方法
five-year higher vocational education
data mining
comprehensive quality
evaluation method
