基于层次聚类法对大学生自主学习能力评价的研究  

Research on the Evaluation of Autonomous Learning Ability of College Students Basedon Hierarchical Clustering Method

作　　者：齐圆华[1,2] 郝海妍 潘萍 Qi Yuanhua;Hao Haiyan;Pan Ping(Hainan College of Software Technology,Qionghai 571400,China;Hainan Vocational College of Politics and Law,Haikou 571100,China)

机构地区：[1]海南软件职业技术学院,琼海571400 [2]海南政法职业学院,海口571100

出　　处：《办公自动化》2024年第21期31-34,共4页Office Informatization

基　　金：2022年海南省高等学校教育教学改革研究项目“新时代‘课程思政’背景下高职院校高等数学教学的实践与研究”(HnjgS2022-19);2020年海南省高等学校教育教学改革研究项目“‘互联网+教育’背景下高职学生自主学习能力培养研究”(Hnjg2020-141)。

摘　　要：层次聚类法是一种科学、客观的评价方法,从大学生的实际情况出发,应用层次聚类法,为“互联网+”环境下大学生自主学习能力建立一个评价准则。此准则经检验,对大学生自主学习能力的判断更为公平,也为高校评判学生自主学习能力提供依据,同时在指导学生个人自主学习能力提升上也有帮助。另外,层次聚类法可助力院校和教师开展大学生自主学习能力的培养工作,培养具有高效自主学习能力的人才。Hierarchical clustering method is a scientific and objective evaluation method. Starting from the actual situationof college students, the hierarchical clustering method is applied to establish an evaluation criterion for collegestudents' autonomous learning ability in the "Internet +" environment. This criterion has been tested and is more fairto the judgment of college students' autonomous learning ability, and also provides a basis for universities to judge students'autonomous learning ability, and is also helpful to guide students to improve their autonomous learning ability.In addition, the hierarchical clustering method helps schools and teachers to carry out the cultivation of college students'autonomous learning ability, and cultivate talents with efficient autonomous learning ability.

关 键 词：层次聚类法 评价模型 自主学习能力 大学生 学习计划 自我管理 

分 类 号：G642[文化科学—高等教育学] O141.4[文化科学—教育学]