基于K-Medians的学习质量评价方法研究  

Research on Learning Quality Evaluation Method Based on K-Medians

作　　者：冯广[1] 陈卓 罗时强 邱凯星 伍文燕 Guang FENG;Zhuo CHEN;Shiqiang LUO;Kaixing QIU;Wenyan WU(Guangdong University of Technology,School of Automation,Guangzhou Guangdong 510006)

机构地区：[1]广东工业大学自动化学院,广东广州510006

出　　处：《中国教育信息化》2022年第4期80-86,共7页Chinese Journal of ICT in Education

基　　金：2017-2020年国家自然科学基金“电子商务交互式决策助手对用户购物决策行为的影响与演化研究”(编号:71671048)。

摘　　要：长期以来,学生综合学习质量评价存在着评价数据不丰富、评价方式简单、评价结果运用不科学等问题,大数据与数据挖掘等技术的发展给解决这些问题提供了可能。针对以上问题,文章提出基于K-Medians的高维聚类评价方法,通过一个实例说明了该方法在学生综合学习质量评价的应用过程。与传统定性评价相比,该方法可联合多种评价数据、评价方式更科学、评价结果蕴涵多种指导信息;与其他非传统评价方法相比,该方法在公正性、便捷性、直观性上具有较大优势。For a long time,the evaluation on students’comprehensive learning quality has the problems of insufficient data,relatively simple methods,and unscientific application of results,etc.For this,the development of technologies such as big data and data mining provides the possibility to solve the problems.This paper proposes a high-dimensional clustering evaluation method based on K-Medians,and it illustrates the application process of the method in the evaluation of students’comprehensive learning quality by using a practical example.Compared with traditional qualitative evaluation,this method can combine multiple sconces of evaluation data and evaluate in a more scientific manner,while the evaluation results can contain multiple guidance information.In addition,the method used in this paper has advantages in its fairness,convenience,and intuitiveness.

关 键 词：K-Medians 学习质量评价 高维聚类 

分 类 号：G642[文化科学—高等教育学] TP311[文化科学—教育学]