Profiles in self-regulated learning and their correlates for online and blended learning students

被引：0
作者：
Jaclyn Broadbent
Matthew Fuller-Tyszkiewicz
机构：
[1] Deakin University,School of Psychology
[2] Deakin University,Centre for Research in Assessment and Digital Learning
来源：
Educational Technology Research and Development | 2018年 / 66卷
关键词：
Self-regulated learning strategies; Motivated self-regulation; Online learning; Higher education; Latent profile analysis (LPA);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study examines a person-centered approach to self-regulated learning among 606 University students (140 online, and 466 in blended learning mode). Latent profile analysis revealed five distinct profiles of self-regulated learning: minimal regulators, restrained regulators, calm self-reliant capable regulators, anxious capable collaborators, and super regulators. These profiles showed that: (1) differences in academic success are associated with a learner’s capacity for motivational regulation and self-regulated learning strategy implementation, (2) online learners are more likely to belong to profiles that are more adaptive, and less reliant on collaborations with others, (3) for learners at the lower end of the self-regulation spectrum, an increase in both motivational regulation and adoption of self-regulated learning strategies may be academically beneficial, and (4) high motivational regulation and strategy adoption can be all for naught, if the student is also highly anxious with worry and concern regarding performance.
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页码：1435 / 1455
页数：20
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