Factors of successful learning transfer in computer-assisted learning: The impact of learning strategies, motivation, and setting

被引:4
|
作者
Konradt, Udo [1 ]
Christophersen, Timo [1 ]
Ellwart, Thomas [2 ]
机构
[1] Univ Kiel, Inst Psychol, D-24098 Kiel, Germany
[2] Fachhsch Nordwestschweiz Hsch Angew Psychol, Inst Kooperat Forsch & Entwicklung, CH-460 Olten, Switzerland
来源
ZEITSCHRIFT FUR PERSONALPSYCHOLOGIE | 2008年 / 7卷 / 02期
关键词
learning motivation; learning strategies; e-learning; Partial Least Squares; formative and reflective measurement models;
D O I
10.1026/1617-6391.7.2.90
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The influence of learning strategies on learning transfer was, examined with sixty students who used a hypermedia e-learning environment for professional training. Further, the influence of learning motivation (intrinsic vs. extrinsic) and different learning settings (one session, two sessions, or four sessions) were studied and experimentally manipulated. Based on partial least squares structural equation analyses and considering of formative measurement models, learning strategies could be identified which significantly predicted learning transfer. Overall, learning motivation and learning strategies explained 46 % of the variance predicted in the dependend variable learning transfer. The learning setting did not significantly contribute to the prediction of learning transfer. Results are discussed from the perspective of research on success factors, e-leaming, and formative measurement models.
引用
收藏
页码:90 / 103
页数:14
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