数据挖掘在教学质量分析中的应用研究

Research of Data Mining in the Application of Teaching Qualiting Analysis

随着科学技术的飞速发展,如何提高高等教育质量以适应新形势发展已成为一个刻不容缓的问题,而提高教学质量则是改善高等教育的关键。该文提出并建立了教学评价指标体系,并通过数据挖掘工具SPSS统计分析软件实现对教师的学生评价得分、管理部门评价得分和最终评价得分的数据聚类分析。通过层次聚类分析方法实现对评价数据的知识挖掘,将有价值的评价信息提取并反馈给相应人员,从而有利于科学的教学决策,使教学质量不断提高。

With the science and technology rapidly developing,how to improve the quality of high education in order to adapt to the new development of the situation has become an urgent thing,while improving the quality of teaching is the key to reforming higher education.In the paper,we put forward and established a teaching evaluation system.With the tool of data mining SPSS statistical analysis software,clustering analysis on the evaluation of the scores from students,management,and the final evaluation scores was realised. The hierarchical clustering method accomplished data mining of teaching and evaluating, and a valuable assessment of information extraction was feedback to the staff concerned, which is conducive to the scientific decision of teaching. In this way, the quality of teaching can be continuously improved.