基于大数据分析的学习评价  

Learning Evaluation Based on a Big Data Analysis

作　　者：黄慧[1] 刘正涛[1] 朱鹏宇[2] 

机构地区：[1]三江学院,江苏南京210012 [2]南京师范大学,江苏南京210046

出　　处：《职业教育研究》2017年第8期34-38,共5页Vocational Education Research

基　　金：江苏省现代教育技术研究2015年度课题"基于现代教育技术的学生个性化;发展性学习评价研究与实践"(项目编号:2015-R-43679);江苏省教育科学"十二五"规划2015年度重点资助课题"应用型本科高校MOOC新型课程教学模式研究"(项目编号:B-a/2015/01/055)

摘　　要：针对目前高校课程评价手段单一,不能满足学生个性化学习的要求,本文提出了一种具有个性化和发展性特征的学习评价模型。该模型基于学生课堂教学、课外自学和部分日常生活构成的大数据,通过数据挖掘技术,给出课程学习过程中对每个学生的评价。学习评价关注学习的每个阶段,给出的建议符合学生个性化要求,并可帮助教师因材施教。教学实践结果显示,这种学习评价有助于改善学生的学习。The present students＇ learning evaluation of higher education lacks flexibility and its simplified form of current evaluation system can hardly meet the need of the features of personality and development. Regarding these problems, a personalized and developmental learning evaluation model is proposed in this article based on the big data composed of classroom instruction, independent learning after class and partly daily lives＇ information. Meanwhile, with the technology of data mining,every single student＇s evaluations and suggestions are given periodically both to students and teachers, which focus on every stage of student＇s study. Finally, the experimental results is fit for the requirement of talent, helps teachers teach in accordance of students＇ aptitude, and improve students＇ study.

关 键 词：大数据 个性化学习评价 发展性学习评价 教育信息化 

分 类 号：G717[文化科学—职业技术教育学]