基于教育数据挖掘技术的大学生学习行为分析及教学启示——以某大学“高等数学”课程为例  

Analysis of College Students’Learning Behavior Based on Educational Data Mining Technology and Its Teaching Enlightenment——With the Course of“Advanced Mathematics”of a University as an Example

作　　者：王建[1] 陈凯泉 Wang Jian;Chen Kaiquan(School of Mathematical Sciences,Ocean University of China,Qingdao,Shandong,China 266100;Teching Center of Fundamental Courses,Ocean University of China,Qingdao,Shandong,China 266100)

机构地区：[1]中国海洋大学数学科学学院,山东青岛266100 [2]中国海洋大学基础教学中心,山东青岛266100

出　　处：《数字教育》2023年第3期41-48,共8页Digital Education

基　　金：2022年度国家自然科学基金项目“面向多模态教学的个性化学习支持服务关键技术研究”(62277045);2021年度山东省本科教学改革研究项目“多主体协同育人视角下大学数学公共基础课教学模式的建构研究”(M2021089);2021年度山东省教育科学规划重点课题“指向基础教育高质量发展的区(县)域智慧教育体系整体构建与推进路径研究”(2021ZD062);2023年度中国海洋大学研究生教育质量提升计划项目“现代教育技术应用教学案例库建设”(HDYA23019)。

摘　　要：教育信息化的高速发展为学习分析积累了大量数据,通过对这些数据进行处理和分析,能够发现教学中的规律,从中提取出可以优化教学的关键性数据,帮助提升教学效果。以某大学“高等数学”课程为例,收集和分析学习过程中的数据,发现学习者的课程访问量与课程成绩呈正相关,不同时间段的课程访问量存在较大差别。据此提出在设计教学时应该反思课程设计,实施个性化教学;及时评估教学效果,设计有针对性的教学活动;设计课程最低访问时限,及时提供反馈,分时段为学习者呈现教学资源;持续更新教学资源,及时促进学生的问题解决;有机整合学术史和学科文化方面的相关内容,提升学生的学习动机。With the rapid speed development of education informatization,huge amounts of data for learning analysis are accumulated.By processing and analyzing these data,the laws in teaching can be found and the key data that could optimize teaching can be extracted,which can improve teaching effectiveness.With the course of“Advanced Mathematics”in a university as an example,this research collects and analyzes the data generated in the learning process.It is found that the course scores are positively related to the course visits of learners,and traffic to the course by learners is very variable in different time periods.According to this conclusion,when the teaching content is designed,it is suggested that we should reflect on the curriculum design and implement individualized teaching,consider the teaching effect timely and design targeted teaching activities,make rational use of the advantages of online learning,design the minimum time limit for course visit and provide feedback in a timely manner,and update teaching resources continually,present teaching resources to learners in different periods and answer questions submitted by students timely,organically integrate academic history and subject culture related content to enhance students'learning motivation.

关 键 词：数据挖掘 学习分析 混合式教学 

分 类 号：G4[文化科学—教育学]