基于大数据分析的超星平台线上课程教学质量评价研究  

Research on the Evaluation of Teaching Quality of Online Courses on Chaoxing Platform Based on Big Data Analysis

作　　者：李春平[1] 陈小文 张淑荣[1] 张湘敏 LI Chun-ping;CHEN Xiao-wen;ZHANG Shu-rong;ZHANG Xiang-min(Guangdong Baiyun University,Guangzhou 510000,Guangdong)

机构地区：[1]广东白云学院大数据与计算机学院,广东广州510450

出　　处：《电脑与电信》2024年第4期14-19,共6页Computer & Telecommunication

基　　金：广东省高等教育学会民办高等教育专业委员会2022年度研究课题项目“基于大数据分析的超星平台线上课程教学质量评价——以广东白云学院为例”,项目编号:2022MBGJ088;广东白云学院2022年度校级本科教学质量与教学改革工程项目——智能信息技术教学团队,项目编号:BYTD202202。

摘　　要：数字化教学已成为教育教学改革的重要方向,大数据时代驱动下的线上课程教学质量评价显得尤为重要。在这一背景下,线上教学质量评价、线上课程教学改革、“数+”模式、大数据分析和自动化评价模型等新型教学模式及评价应运而生,为个性化、定制式教学提供了有力支持。以超星平台线上课程资源为数据样本,深入分析了线上教学现状,研究了线上教学评价体系,建立了线上教学评价模型,并对评价模型进行了验证与优化。结果表明,运用大数据分析和自动化评价模型可以实现对学生的学习数据进行实时监控和评估,可以及时获取学生学习状态和教师对教学投入情况,以便教学部门及时调整教学策略,提高教学质量。Digital teaching has become an important direction of education and teaching reform,and the online course teaching quality evaluation driven by the big data era is particularly important.In this context,new teaching modes and evaluations such as online teaching quality evaluation,online course teaching reform,"digital+"mode,big data analysis and automated evaluation models have emerged,providing strong support for personalized and customized teaching.Taking the online course resources of Superstar platform as data samples,the current situation of online teaching is analyzed in depth,the online teaching evaluation system is studied,the online teaching evaluation model is established,and the evaluation model is verified and optimized.The results show that the use of big data analysis and automated evaluation model can realize real-time monitoring and evaluation of students'learning data,and can timely access the students'learning status and teachers'input to teaching,so that the teaching department can timely adjust the teaching strategy and improve the quality of teaching.

关 键 词：数字化教学 线上教学质量评价 “数+”模式 教学评价模型 

分 类 号：TP311.13-4[自动化与计算机技术—计算机软件与理论] G642[自动化与计算机技术—计算机科学与技术]