How CSCL moderates the influence of self-efficacy on students' transfer of learning

0Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.
Get full text

Abstract

There is an implicit assumption in learning research that students learn more deeply in complex social and technological environments. Deep learning, in turn, is associated with higher degrees of students' self-efficacy and transfer of learning. The present meta-analysis tested this assumption. Based on social cognitive theory, results suggested positive population correlation estimates between post-training self-efficacy and transfer. Results also showed that effect sizes were higher in trainings with rather than without computer support, and higher in trainings without rather than with collaboration. These findings are discussed in terms of their implications for theories of complex social and computer-mediated learning environments and their practical significance for scaffolding technology-enhanced learning and interaction. © Springer-Verlag 2012.

Cite

CITATION STYLE

APA

Gegenfurtner, A., Veermans, K., & Vauras, M. (2012). How CSCL moderates the influence of self-efficacy on students’ transfer of learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7563 LNCS, pp. 93–102). https://doi.org/10.1007/978-3-642-33263-0_8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free