基于数据分析的高校学生评教研究——以2006～2009年北京某理工科高校为案例的分析

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基金项目:

教育部人文社会科学研究青年基金资助项目“基于数据分析的高校学生评教有效性研究”（09YJC880006）的研究成果

Research on University Students' Evaluation of Teaching Based on Data Analysis——Take a Polytechnic College in Beijing as an Example

1. State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing 100083, China;
2. School of the Humanities and Social Sciences, University of Science and Technology Beijing, Beijing 100083, China

摘要: 对与学生评教相关因素进行数据分析，统计结果表明课程类型、教师职称、教师性别对学生评教结果无显著性影响；学生年级与学生评教结果具有较小的相关性，课程分数与学生评教结果不相关，督导评教与学生评教具有一定的相关性，同一教师同一课程的学生评教结果更加趋于稳定。统计结果表明：从总体而言，学生评教结果是可信和有效的。
- 数据分析 /
- 学生评教 /
- 影响因素 /
- 相关性
Abstract: With the data analysis on the students' evaluation of teaching correlative factors, statistical results show that course types, teachers' professional titles, teacher's gender have no significant effect on students' teaching assessment results;the students' grade has a weaker correlation on students' teaching assessment results, course scores have no relation with the results of Course teaching evaluation, and there is a certain relevance between the supervisors' teaching evaluation and the student evaluation of teachers.The statistical results show that the students' teaching assessment results are reliable and effective.
- data analyzing /
- studentss' evaluation of teaching /
- effect factor /
- correlation