Authors
Silke Vanslambrouck, Chang Zhu, Bram Pynoo, Koen Lombaerts, Jo Tondeur, Ronny Scherer
Publication date
2019/10/1
Journal
Computers in Human Behavior
Volume
99
Pages
126-136
Publisher
Pergamon
Description
Self-regulated learning (SRL) is crucial for academic success; therefore support, to enhance and maintain SRL skills is important. In blended adult education, the heterogeneity of adults creates diversity in SRL abilities, which makes it necessary to provide tailored support. Conducting latent profile analyses for a sample of 213 blended adult students, we identified three profiles, namely high, low, and moderate SRL profiles which prove differences in SRL strategy use and imply tailored SRL support. Through multivariate analysis of variance (MANOVA) and multinomial logistic regression, we further explore the differences in SRL between the profiles and the extent to which the students’ personal background characteristics and achievement motivations predict their profile membership. The three profiles differ significantly in terms of the scores of all SRL subscales. Furthermore, only achievement motivation – more …
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