摘要
该文基于雨课堂混合式教学模式的工程数学教学数据,构建教学质量评价体系。首先,从雨课堂教学数据中提取出对教学质量有重大影响的五个因素,即课件预习率、到课率、课堂答题得分率、课后作业和期中考试成绩。其次,以期末考试成绩作为课程教学质量的目标,建立单因素线性回归模型和多因素线性回归模型。结果表明每个因素对期末考试成绩的影响都显著,但在多因素分析中,预习率、课后作业对期末考试成绩的影响显著,其中课后作业占比最大,贡献最高。最后,利用统计回归模型预测期末考试成绩,对学生实施精准教学。该方法可为工程数学高效、准确的教学质量评价提供借鉴和参考,推动智能化教学质量评价体系的建立。
Based on the teaching data of Engineering Mathematics in the mixed teaching mode of rain classroom,this paper constructs the teaching quality evaluation system.Firstly,five factors which have great influence on teaching quality are extracted from the teaching data of rain classroom:courseware preview rate,class attendance rate,score rate for class questions,homework after class and mid-term exam score.Secondly,taking the final exam score as the goal of course teaching quality,the single factor linear regression model and the multi-factor linear regression model are established.The results show that each factor has a significant impact on the final exam score,but in the multi-factor analysis,the preview rate and homework after class have a significant impact on the final exam score,among which homework after class accounts for the largest proportion and the highest contribution.Finally,the statistical regression model is used to predict the final exam scores and implement precision teaching for students.This method can provide reference and guidance for efficient and accurate teaching quality evaluation of engineering mathematics,and promote the establishment of intelligent teaching quality evaluation system.
出处
《高教学刊》
2024年第11期72-75,共4页
Journal of Higher Education
基金
天津理工大学2021年教改项目“混合式教学下的工程数学教学评价体系研究”(YB21-18)。
关键词
工程数学
混合式教学模式
教学质量评价
线性回归
雨课堂
Engineering Mathematics
mixed teaching mode
teaching quality evaluation
linear regression
rain classroom