PREDICTING STUDENT SUCCESS FROM THE LASSI FOR LEARNING ONLINE (LLO)

被引：19

作者：

Carson, Andrew D. ^{[1
]}

机构：

[1] Kaplan Univ, Chicago, IL 60607 USA

来源：

JOURNAL OF EDUCATIONAL COMPUTING RESEARCH | 2011年 / 45卷 / 04期

关键词：

D O I：

10.2190/EC.45.4.b

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

This study tested the degree to which subscales of the LASSI for Learning Online (LLO) (Weinstein & Palmer, 2006), a measure of learning strategies and study skills, predict student success in the form of passing grades, using a combination of large training (N = 4,409) and cross-validation (N = 3,203) samples. Discriminant function analysis against student success (GPA = 2.0 in Term 3) resulted in an overall hit-rate of 67%, and specificity and sensitivity of 70% and 60%, respectively. The present study also provides the first empirical evidence reported for the predictive validity for the online adaptation of the LASSI.

引用

页码：399 / 414

页数：16

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