可拓数据挖掘在学生成绩分析中的应用研究  

Application of extension data mining in student achievement analysis

作　　者：刘大莲[1,2] 田英杰[3] LIU Dalian;TIAN Yingjie(Institute of Mathematics and Physics,Beijing Union University,Beijing 100101,China;Institute of Fundamental and Interdisciplinary Sciences,Beijing Union University,Beijing 100101,China;Research Center on Fictitious Economy and Data Science,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]北京联合大学数理部,北京100101 [2]北京联合大学数理与交叉科学研究院,北京100101 [3]中国科学院虚拟经济与数据科学研究中心,北京100190

出　　处：《智能系统学报》2022年第4期707-713,共7页CAAI Transactions on Intelligent Systems

基　　金：国家自然科学基金面上项目(72071049);教育部人文社科规划基金项目(18YJAZH049);北京联合大学教育教学研究与改革项目(JJ2021Y053).

摘　　要：为了充分利用教育大数据资源,促进教学改革良性发展,本文利用可拓支持向量机、可拓k-均值聚类等多种可拓数据挖掘方法及皮尔逊相关系数,对高校学生数学课程的平时作业、期中和期末考试成绩等进行挖掘和分析,探索试卷设计的科学性,学生对知识点的掌握程度,以及哪些题目是影响学生成绩的主要因素,针对每个学生给出其该门课程日后学习的侧重点等。将不断发展的前沿科研方法应用于需要不断改革的教育教学中,同时也对长期沉睡的庞大的学生成绩数据加以充分利用,科研指导教学,教学反哺科研,起到很好的示范作用。To make full use of the educational big data resources and promote the sound development of teaching reform,this paper applies several extension data mining methods,including an extenics support vector machine,an improved k-means algorithm based on extension distance,etc.,and the Pearson’s correlation coefficient,to analyze the usual homework,midterm,and final examination results of a college students’mathematics course,to explore the scientificity of test paper design,students’mastery of knowledge points,and which topics are the main factors affecting students’performance.Furthermore,some advance information is given to each student to tell them which point they should focus on in this course later.This paper applies the constantly developing,cutting-edge scientific research methods to the education and teaching that need constant reform and makes full use of the huge student achievement data that has been sleeping for a long time.It has played a good example of scientific research guiding teaching and teaching feeding scientific research.

关 键 词：可拓学 数据挖掘 分类 聚类 支持向量机 皮尔逊相关系数 教育大数据 学生成绩分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]