基于超星平台的飞机性能工程课程群线上教学质量监控指标研究

Research on Online Teaching Quality Monitoring Index of Aircraft Performance Engineering Course Group Based on Superstar Platform

针对线上教学质量不均衡和难以监控的问题,有必要对混合式教学模式下的线上教学质量进行监控和评价。以飞机性能工程课程群为对象,开展学习效果和线上学习行为的关联性研究。基于超星平台4个学年的统计数据,初步形成6个一级指标、24个二级指标。首先通过数据预处理删除无效和共线性指标;然后通过描述性统计分析,得出样本数据的分布规律,删除异常指标;接着对15个指标进行相关性分析,得出影响期末考试成绩的相关性指标;最后对剩余指标进行主成分分析并进行排序,形成飞机性能工程课程群线上教学质量监控指标的依次为签到完成率(x_(8))、章节测验总均分(x_(24))、视频观看时长(x_(3))、章节测验参与均分(x_(23))、章节学习次数(x_(1))、任务完成率(x_(5))、章节测验参与率(x_(22))7个学生线上学习行为指标。

Aiming at the problem of uneven and difficult monitoring of online teaching quality,it is necessary to monitor and evaluate the online teaching quality under the blended teaching mode.This study focuses on aircraft performance engineering course group,and it carries out research on the correlation between learning effect and online learning behavior.Based on statistical data from four academic years of superstar platform,6 primary indicators and 24 secondary indicators are initially formed.Firstly,invalid and collinear indicators are removed through data preprocessing.Then,through descriptive statistical analysis,the distribution law of the sample data is obtained,and abnormal indicators are deleted.Next,the correlation analysis of 15 indicators is carried out to find the correlation indicators that affect the final examination scores.Finally,principal component analysis is carried out for the remaining indicators and the ranking is sorted.The order of forming online teaching quality monitoring indicators for aircraft performance course groups is:check-in completion rate,total average score of chapter test,video viewing duration,participation average score of chapter test,chapter learning frequency,task completion rate,chapter test participation rate.