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基于学情聚类分析的高职学生评教研究

Research on High-Vocational Students' Evaluation of Teaching Based on the Cluster Analysis of Studies
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摘要 针对高职学生评教中容易出现的一些问题,对高职学生的学习情况进行分析与研究,并通过聚类分析算法,根据学生的学习情况将学生评教样本分成不同的等级,再对不同等级评教样本的评教结果分别进行分析处理。通过该方法可以更客观地将不同层次学生的评教意见反馈给任课教师,学校也可以通过综合分析不同层次学生的评教结果来减小评教误差,避免由此可能会导致的师生关系异化。 Aiming at the problems occuring in the high-vocational studentsj teaching evaluation, analyzes and studies the learning situations of the high-vocational students, and divides the teaching e- valuation samples into different levels by the studentsj learning situations through the cluster analysis algorithm, analyzes the teaching evaluation results from the samples at different levels separately. By this means the viewpoint of the teaching evaluation from the students at different levels can feedback to the classroom teachers more objectively, and the college can get the e- valuating results more precisely by analysing the teaching evaluation results from the students at different levels synthetically, thus avoiding the relationship between teachers and students alienation causing by the teaching evaluation.
作者 龙钧宇
出处 《现代计算机(中旬刊)》 2013年第10期16-19,共4页 Modern Computer
基金 广东科学技术职业学院2012年度校级科研项目(No.XJZD201201)
关键词 学生评教 聚类分析 评教指标 Student's Evaluation of Teaching Cluster Analysis Evaluating Indexes of Teaching
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