Course planning of extension education to meet market demand by using data mining techniques - an example of Chinkuo technology university in Taiwan

Tai-Chang Hsia; An-Jin Shie; Li-Chen Chen

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Course planning of extension education to meet market demand by using data mining techniques - an example of Chinkuo technology university in Taiwan

机译：利用数据挖掘技术满足市场需求的推广教育课程计划-以台湾金国科技大学为例

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This study used data mining techniques to analyze the course preferences and course completion rates of enrollees in extension education courses at a university in Taiwan. First, extension courses were classified into five broad groups. Records of enrollees in extension courses from 2000-5 were then analyzed by three data mining algorithms: Decision Tree, Link Analysis, and Decision Forest. Decision tree was used to find enrollee course preferences, Link Analysis found the correlation between course category and enrollee profession, and Decision Forest found the probability of enrollees completing preferred courses. Results will be used as a reference for curriculum development in the extension program.

机译：这项研究使用数据挖掘技术来分析台湾一所大学的延伸教育课程的学生的课程偏好和课程完成率。首先，扩展课程分为五个大类。然后，通过三种数据挖掘算法（决策树，链接分析和决策森林）分析了2000-5年度扩展课程中的入学记录。决策树用于查找注册人的课程偏好，Link Analysis查找课程类别和注册人的职业之间的相关性，而决策林则用于确定注册人完成偏好课程的可能性。结果将用作扩展程序中课程开发的参考。

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《Expert systems with applications》 |2008年第1期|p.596-602|共7页
作者
Tai-Chang Hsia; An-Jin Shie; Li-Chen Chen;
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正文语种 eng
中图分类人工智能理论;
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Course planning of extension education to meet market demand by using data mining techniques - an example of Chinkuo technology university in Taiwan

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