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徐宏, 田鑫, 钱欣. 基于大数据的高校学情研究[J]. 安徽工业大学学报社会科学版, 2018, 35(2): 108-110. DOI: 10.3969/j.issn.1671-9247.2018.02.033
引用本文: 徐宏, 田鑫, 钱欣. 基于大数据的高校学情研究[J]. 安徽工业大学学报社会科学版, 2018, 35(2): 108-110. DOI: 10.3969/j.issn.1671-9247.2018.02.033
XU Hong, TIAN Xin, QIAN Xin. Research on College Education Based on Big Data[J]. Journal of Anhui University of Technology(Social Sciences), 2018, 35(2): 108-110. DOI: 10.3969/j.issn.1671-9247.2018.02.033
Citation: XU Hong, TIAN Xin, QIAN Xin. Research on College Education Based on Big Data[J]. Journal of Anhui University of Technology(Social Sciences), 2018, 35(2): 108-110. DOI: 10.3969/j.issn.1671-9247.2018.02.033

基于大数据的高校学情研究

Research on College Education Based on Big Data

  • 摘要: 通过教学信息大数据,分析某高校各年级学生课程成绩发现,该校学情具有如下基本规律,即大学一年级是大学生入学后的关键时期,这个时期学习习惯和学习风气的养成至关重要;第二、三学期是课程学习最难且最重要的时期;班级风气对学生学习有非常重要的影响。

     

    Abstract: Through the teaching information big data, it is found that the grades of the students in different grades of a university find that the school's academic situation has the following basic rules. That is, the first year of university is a crucial period for university students who have just entered school. It is very important to cultivate learning habits atmosphere during this period. The second and third semesters are the most difficult and important periods for curriculum learning; and class atmosphere is very important for students' learning.

     

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