Teaching Evaluation Results Of Statistical Analysis

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.