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学生评教成绩的统计分析

【作者】 卯越

【导师】 樊顺厚;

【作者基本信息】 天津工业大学 , 应用数学, 2007, 硕士

【摘要】 随着高校教育改革的深入与发展,提高教学质量已成为学校的核心工作。教学质量评价是学校教学质量管理的一项重要内容,如何科学、客观、公正地评价教师的教学水平与教学质量,已成为一项理论上和实践上都十分重要的工作,而学生是教师评估的主要参与者。本文通过对我校05-06年度的学生评教数据采用不同的方法进行统计分析,并对统计分析结果加以分析讨论,从而对当今学生评教中存在的诸多问题给以回答,最终对学生评教制度和方法给以改进建议。内容涉及以下几点:(1).应用统计图形对数据进行预分析,找出关于学生评教操作过程中存在的若干问题。(2).应用聚类分析法,以学生对评教指标的理解为出发点,对题目进行分类,且这种分类的层次性非常明确。(3).应用主成分分析法得到已设置的评教指标间高度相关的结论,进而对改进指标设置提出建议。(4).应用线性模型的相关理论给出非均衡数据的方差分析模型,将该理论应用到评教数据的分析上,得到了对评教结果有显著影响的若干因素,并给出了相应的解释。

【Abstract】 Improvement of the teaching quality in schools has become a core business with the development of college’s education reform. Teaching quality evaluation is also one important work of teaching quality management. It has becoming a very important work in theory and practice that how to appraise teachers’ teaching level and teaching quality with more scientific, objective and fair methods. Of course, students are main participants in the process. By analyzing 05-06 year Tianjin Polytechnic University’s teaching appraising data with different statistic methods and discussing the analyzing results, this paper answers the questions that exist in student appraising teacher, and finally give advanced suggestions to the systems and the methods. Including several points in the paper:(1) Advance analyze on the data with statistic graphs, the author finds several problems in system of student appraising teacher.(2) According to the students’ understanding of the subjects of appraising teachers’ quality, the author takes advantage of cluster analysis to classify the subjects.(3) The theoretic gist of which the results of appraising teacher’s quality have shown that there are highly correlations between the indicators which have been set up, and then give some suggestions to improving such indicators by using Principal components analysis.(4)The author gives the model of unbalanced data of variance analysis using the correlative theories of liner-model, and applies the theory to appraising teachers’ quality data. Finally, several factors which have significant effect on the result of appraising quality data are found and correlative explanations are shown.

  • 【分类号】G642.4
  • 【被引频次】5
  • 【下载频次】573
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