聚类分析在高校课堂教学质量评价中的应用

发布时间：2018-02-27 07:27

本文关键词： 教学评价学习效果教学效果聚类技术 K-Means算法　出处：《重庆师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：教学质量评价的实施对教学改革和教学管理等一系列教学工作都有一定的指导作用,选择合适的评价方法对教学质量评价工作的实施非常重要。高校课堂教学质量评价包括对学和教的评价,本文主要是从学生学习效果和教师教学效果两个方面实施评价。在传统的高校课堂教学质量评价中,大多数评价都存在一些缺点,如:评价内容不够丰富、评价主体比较固定单调、评价反馈不及时等,而且得到的结果也不够科学准确。虽然现有的评价方法是形式多样的,但大多数都以定性评价为主,因此,我们采取定量与定性相结合的方法,来探讨聚类分析在高校课堂教学质量评价中的应用。概括来说,本论文的主要工作如下:第一,收集和阅读了大量的相关文献,并且对这些文献中有关高校课堂教学质量评价的理论和所须遵照的评价原则进行了归纳总结,在此基础上制定了合理适用的高校课堂教学质量评价指标体系。第二,主要介绍了聚类分析的概念和分类,以及K-Means算法的思想和算法步骤。第三,根据实际情况采取学生的综合成绩来表现学生的学习效果,从而对高校课堂教学质量做出评价。在选用K-Means算法对学生的学习效果进行评价时,我们用综合成绩来表示学习效果,其中分为平时成绩和期末考试成绩。根据每门课程每个学生不同成绩分析出学生的特征以及这门课程的特点,并依据最终的实验结果,指导教师在教学工作中应该如何组织教学活动,选取教学方法,培养学生的创新思维和实践能力,最终提高教学质量。第四,通过学生评教分数对教师教学效果展开评价,针对教学情况运用科学合理的评价指标体系进行评价,进行相关数据的统计分析,然后建立基于聚类分析的评价模型。分析了评价模型中的五个指标与学生考试成绩之间的关系,找出影响教学活动的具体因素,从而指导教师教学工作的实施。
[Abstract]:The implementation of teaching quality evaluation has a certain guiding effect on a series of teaching work, such as teaching reform and teaching management. It is very important to select appropriate evaluation methods for the implementation of teaching quality evaluation. The evaluation of classroom teaching quality in colleges and universities includes the evaluation of learning and teaching. In the traditional evaluation of classroom teaching quality in colleges and universities, most of the evaluation has some shortcomings, such as: the content of evaluation is not rich enough, The evaluation subject is relatively fixed and monotonous, the evaluation feedback is not timely, and the results obtained are not scientific and accurate. Although the existing evaluation methods are various in form, most of them are qualitative evaluation, so, We adopt quantitative and qualitative methods to explore the application of cluster analysis in the evaluation of classroom teaching quality in colleges and universities. To sum up, the main work of this paper is as follows: first, we collected and read a large number of relevant documents. Moreover, the author summarizes the theories and principles of classroom teaching quality evaluation in colleges and universities in these documents, and then formulates a reasonable and applicable evaluation index system of classroom teaching quality in colleges and universities. Second, the author puts forward a reasonable evaluation index system of classroom teaching quality in colleges and universities. This paper mainly introduces the concept and classification of clustering analysis, as well as the idea and algorithm steps of K-Means algorithm. In order to evaluate the quality of classroom teaching in colleges and universities, when we choose K-Means algorithm to evaluate the students' learning effect, we use the comprehensive results to express the learning effect. According to the results of each course, the characteristics of the students and the characteristics of the course are analyzed, and based on the final results of the experiment, How to organize teaching activities, select teaching methods, cultivate students' creative thinking and practical ability, and finally improve teaching quality. 4th, evaluate teachers' teaching effect through students' teaching evaluation scores, and guide teachers how to organize teaching activities in teaching work, select teaching methods, train students' innovative thinking and practice ability, and finally improve teaching quality. According to the teaching situation, the scientific and reasonable evaluation index system is used to carry out the statistical analysis of the relevant data. Then the evaluation model based on cluster analysis is established, and the relationship between the five indexes in the evaluation model and the students' test results is analyzed, and the specific factors influencing the teaching activities are found out to guide the implementation of the teachers' teaching work.
【学位授予单位】：重庆师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G642.4

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