文章基本信息

标题：The Analysis of the Length of Studies in Higher Education based on Clustering and the Extraction of Association Rules
本地全文：下载
作者：Petros Belsis ; Petros Belsis ; Ioannis Chalaris 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2014
卷号：147
页码：567-575
DOI：10.1016/j.sbspro.2014.07.159
语种：English
出版社：Elsevier
摘要：AbstractThe length of studies of the students who “linger” in Higher Education has not been justified in many countries, and the Higher Education Institutes try to solve the problem using various methods. The problem of students who “linger” in their Departments beyond the six or seven years is seen as complex one, in the Greek Higher Education. Two main alternative methods have been discussed: Giving the students who “linger” a low priority for registration in the laboratory classes, and limiting the number of times of attending laboratory based courses. Eventually, according to the new legislation the Greek Higher Education Institutes must cut off access to the students who “linger” too long. This study focuses on this hard problem. Clustering techniques and the mining of Association rules are used. The results of clustering and the generation of the association rules are based on students’ questionnaires collected in the laboratory classes. Various interesting results and rules are extracted and discussed.
关键词：Association rules;Data Mining;Higher Education;Student Retention;Student Intervention;Rules’ extraction