Predicting Retention in Online General Education Courses

被引：97

作者：

Morris, Libby ^{[1
]}

Wu, Sz-Shyan ^{[1
]}

Finnegan, Catherine ^{[2
]}

机构：

[1] Univ Georgia, Inst Higher Educ, 202 Meigs Hall, Athens, GA 30602 USA

[2] Board Regents Univ Syst Georgia, Adv Learning Technol, Atlanta, GA USA

来源：

AMERICAN JOURNAL OF DISTANCE EDUCATION | 2005年 / 19卷 / 01期

关键词：

D O I：

10.1207/s15389286ajde1901_3

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

A classification rule was developed to predict undergraduate students' withdrawal from or completion of fully online general education courses. A multivariate technique, predictive discriminant analysis (PDA), was used. High school grade point average and SAT mathematics score were shown to be related to retention in the online university courses. Locus of control and financial aid were able to identify dropout and completion with 74.5% accuracy.

引用

页码：23 / 36

页数：14

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