吉林大学学报(信息科学版) ›› 2024, Vol. 42 ›› Issue (6): 1142-1154.

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基于多元统计方法的高校教育教学评估研究 

张 伟a, 李鑫b   

  1. 吉林大学a. 后勤处;b. 原子与分子物理研究所,长春130012
  • 收稿日期:2023-12-26 出版日期:2024-12-23 发布日期:2024-12-23
  • 作者简介:张伟(1973— ),男,长春人,吉林大学副研究员,主要从事交通信息工程及控制研究,(Tel)86-13756550606(E-mail)z_w @jlu. edu. cn。
  • 基金资助:
    吉林省高教科研课题基金资助项目(JGJX2020C4)

Research on Evaluation of College Education and Teaching Based on Multivariate Statistical Method

ZHANG Weia, LI Xin   

  1. a. Logistics Division; b. Institute of Atomic and Molecular Physics, Jilin University, Changchun 130012, China
  • Received:2023-12-26 Online:2024-12-23 Published:2024-12-23

摘要: 基于高校以人才培养为重心的工作背景,对吉林省31所高校进行分析,以期为如何挖掘高校潜力,合理 配置高校资源提供借鉴意义。 以2017年数据为样本, 从高校基本情况中的学生数量、师资水平、办学条件等 方面选择了24个指标,运用描述性统计、 因子、 聚类、 典型相关分析等方法, 对高校发展状况进行了研究。 研究表明,吉林大学在学生数量、师资力量、办学条件等方面都优于吉林省其他高校,其次教育部直属的东北 师范大学和省属的12所高校,在办学条件方面优于地方直属的17所学院。 并且学历高的老师的职称也普遍 很高, 学历偏低的老师的职称也普遍较低。

关键词: 描述性统计分析, 聚类分析, 因子分析, 典型相关分析, 高校评价

Abstract:  Based on the background that colleges and universities focus on talent cultivation work, 31 universities in Jilin Province were analyzed in order to provide reference significance for the Ministry of Education to explore the potential of universities and allocate college resources rationally. Taking 31 universities in Jilin province as samples in 2017, 24 indicators were selected from the number of students, faculty level and school conditions of college profiles, and descriptive statistical analysis, factor analysis, cluster analysis and typical correlation analysis were used. The study showed that Jilin University outperformed other colleges and universities in terms of the number of students, teachers’ resources, and schooling conditions, followed by Northeast Normal University directly under the Ministry of Education and 12 universities under the province, and they all outperformed 17 universities directly under the local government. Moreover, the titles of teachers with high education are also generally high, and the titles of teachers with low education are also generally low.

Key words: descriptive statistical analysis, cluster analysis, factor analysis, typical correlation analysis, university evaluation

中图分类号: 

  • TP311