摘要
传统课堂由于缺乏及时针对教学过程的反馈信息和对学生行为进行量化分析的手段,往往难以有效开展因材施教与个性化教学。智慧教学工具——雨课堂的出现,为打开学习行为这一"黑盒"做出了积极探索。借助雨课堂,文章从性别差异,作业用时与最终成绩、开始答题时间的关系,作业用时的聚类分析,典型学生的学习曲线等多个维度,对研究生英语课程产生的真实学习数据进行了系统的可视化分析,为深入了解学生的行为特征、提高研究生英语教学质量提供了有价值的参考。
Due to the lack of timely feedback on the teaching process and quantitative tools to analyze learners‘ behavior, it is difficult to teach students according to their aptitude and implement individual teaching in the traditional classroom. The emergence of the smart teaching tool named Rain Classroom, made positive exploration in opening the ＂black box＂ of the learning behavior. With the help of the Rain Classroom, this paper conducted a systematically visual analysis on the real learning data generated in postgraduate English courses from the multiple dimensions, such as the gender difference, the relationships among the time spending on assignment, the final performance and the time of starting to answer, the cluster analysis of the time spending on assignment and the learning curves of typical students. The results of this paper could provide valuable reference to the deep understanding on students‘ behavior characteristics and the improvement of the teaching quality of postgraduate English teaching.
作者
袁博
赵海媚
张成萍
李向明
YUAN Bo;ZHAO Hai-mei;ZHANG Cheng-ping;LI Xiang-ming(Graduate School at Shenzhen,Tsinghua University,Shenzhen,Guangdong,China 518055)
出处
《现代教育技术》
CSSCI
北大核心
2018年第5期68-74,共7页
Modern Educational Technology
基金
教育部在线教育研究中心在线教育基金(全通教育)"基于雨课堂的混合式英语教学数据挖掘及实证研究"(项目编号:2017YB143)
"面向在线教育的大数据挖掘与用户行为分析研究"(项目编号:2016YB111)
教育部教育管理信息中心2016 20号文件"基于移动互联网的教育教学创新应用研究"课题的子课题(项目编号:EMIC201620-100)的阶段性研究成果
关键词
雨课堂
可视化
行为分析
英语教学
Rain Classroom
visualization
behavior analysis
English teaching
