基于学生行为分析的民办高校课程教学质量评估方法研究
Research on teaching quality evaluation method of courses in private universities based on student behavior analysis
吴思 1国宇1
作者信息
- 1. 长春建筑学院,吉林 长春 130000
- 折叠
摘要
在当今社会,教学质量评估对于民办高校的重要性日益凸显.为提升民办高校的教学质量,文章提出基于学生行为分析的民办高校课程教学质量评估方法研究.首先,文章基于学生行为分析影响课程教学质量的因素,构建民办高校课程教学质量评价指标;然后,进行指标权重分配,完成民办高校课程教学质量评估过程设计;最后,应用对比实验验证所提方法的先进性.实验结果表明:应用基于学生行为分析的民办高校课程教学质量评估方法后,学生的平均成绩水平显著提升,远高于基于文本大数据的MOOC教学质量评估方法下的学生平均成绩.该方法对教学质量产生了积极的影响,说明了基于学生行为分析的民办高校课程教学质量评估方法能够准确有效地评估教学质量.
Abstract
In today's society,the importance of teaching quality evaluation for private universities is increasingly prominent.To improve the teaching quality of private universities,a research on the evaluation method of course teaching quality in private universities based on student behavior analysis is proposed.Firstly,based on the analysis of student behavior,factors that affect the quality of course teaching are analyzed,and the evaluation indicators for the quality of course teaching in private universities are constructed.Then,the indicator weights are allocated to complete the design of the evaluation process for the quality of course teaching in private universities.Finally,the comparative experiments are used to verify the progressiveness of the proposed method.The experimental results show that:after the application of the course teaching quality evaluation method based on student behavior analysis in private colleges,the average score of students is significantly improved,which is much higher than the average score of students under the MOOC teaching quality evaluation method based on text big data,which proves that the method has a positive impact on the teaching quality,and it shows that the course teaching quality evaluation method based on student behavior analysis in private universities can accurately and effectively evaluate the teaching quality.
关键词
民办高校/教学质量/行为分析/课程评估Key words
private universities/teaching quality/behavior analysis/course evaluation引用本文复制引用
基金项目
2023年吉林省高教学会高教科研课题(JGJX2023D728)
出版年
2024
NETL
NSTL
万方数据