课堂教学评价数据挖掘与分析

The Mining and Analysis of the Evaluation Data of Classroom Teaching

课堂教学评价是教学质量管理的关键内容。此研究旨在通过教学评价数据的挖掘和分析,找出评价指标数据之间隐含的规律,加深对课堂教学评价的认识,从而有效促进课堂教学质量的提高,完善教学管理。研究利用因子分析、聚类分析等多种数据挖掘处理方法对评价指标数据进行深入分析,通过因子分析方法构建课堂教学质量的综合评价指标,并利用聚类分析方法对评价结果进行深层次的分类和反馈。实证研究结果表明,因子分析构建的综合指标能有效反映现有各个教学评价指标的重要性,建立在评价综合指标因子得分基础上的聚类分析,能更清晰合理地进行课堂教学水平的等级划分。

The evaluation of Classroom teaching is the key content of teaching quality management in colleges and universities. This paper aims to find out the implicit rules between evaluation index data through mining and analyzing the teaching evaluation data, and deepen the understanding of classroom teaching evaluation, so as to effectively improve the quality of classroom teaching and improve teaching management. We conduct an in-depth research on the evaluation index data by using factor analysis, clustering analysis and other data mining methods, construct a comprehensive evaluation index of classroom teaching quality by using factor analysis method, and classify and feedback the evaluation results in depth by using clustering analysis. The empirical research results show that the comprehensive index constructed by factor analysis can effectively reflect the importance of the existing teaching evaluation indicators, and the cluster analysis based on the evaluation scores of comprehensive index factors can classify the classroom teaching level more clearly and reasonably.