高校学生考试成绩的数据分析模式与可视化研究

Research on data analysis model and visualization of college students’ examination achievements

分析学生成绩有利于优化课程设置,有利于提升教学质量。由于学生成绩具有多主体性和时序性等特征,大多数分析工具和展示方式均存在分析因子难以结合,异常数据分析缺乏针对性等现象。因此,本文提出从课程、学生和教师等任意主体出发,采用真实教学数据进行分析。即,设计分析模型并邀请教学人员对其进行修正,再利用可视化图表库ECharts对分析结果进行直观展示。通过对近五年的学生成绩进行分析与可视化展示,可直观地看到学生学习过程中以及教学过程中存在的优势与不足。

The analysis of students’ scores is conducive to optimizing the curriculum and improving the quality of teaching. Due to the multi-subjectivity and time series of students’ performance, most of the analysis tools and display methods are difficult to combine the analysis factors and lack of pertinence in the analysis of abnormal data. Therefore, starting from any subject such as curriculum, student and teacher, this paper uses real teaching data to analyze. That is, design the analysis model and inviting the teaching staff to revise it, and then display the analysis results intuitively with charting and visualization library ECharts. Through the analysis and visualization of students’ achievements in the past five years, the advantages and disadvantages of students’ learning process and teaching process can be seen intuitively.