What Satisfies Students? Mining Student-Opinion Data with Regression and Decision Tree Analysis
What Satisfies Students? Mining Student-Opinion Data with Regression and Decision Tree Analysis
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什么让学生满意？
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
N. Galambos
中科院分区：
文献类型：
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作者：
E. Thomas;N. Galambos
为了调查学生的特征和经历如何影响满意度，本研究使用回归和决策树分析方法，结合CHAID算法对学生意见数据进行分析。数据挖掘方法确定了学生大学经历中对总体满意度的三个衡量标准影响最大的具体方面。这三个指标有不同的预测因素，不能互换使用。学术经历是有影响的。特别是，教师的准备工作与学生的成绩有着众所周知的关系，它是满意度的主要决定因素。社会融合和入学前的意见也很重要。校园服务和设施的影响有限，学生的人口统计特征不是显著的预测因素。决策树分析表明，社会融合对学业投入较少的学生的满意度有更大的影响。
To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data mining approach identifies the specific aspects of students' university experience that most influence three measures of general satisfaction. The three measures have different predictors and cannot be used interchangeably. Academic experiences are influential. In particular, faculty preparedness, which has a well-known relationship to student achievement, emerges as a principal determinant of satisfaction. Social integration and pre-enrollment opinions are also important. Campus services and facilities have limited effects, and students' demographic characteristics are not significant predictors. Decision tree analysis reveals that social integration has more effect on the satisfaction of students who are less academically engaged.