Online Self-regulated learning (higher-ed)
Self-regulation for online learning questionnaire
The Self-regulation for learning online (SRL-O) questionnaire measures the frequency and quality of learning strategies when applied to online or blended or hybrid environments. In creating the Self-Regulation for Learning Online (SRL-O) questionnaire, we wanted to develop a psychometrically sound questionnaire that had a wide breadth of subscales that related to online SRL, could be in the public domain, economically feasible to deliver, easily scored, and designed specifically for undergraduate students. On top of that, we wanted learners to be able to complete the questionnaire, whether as part of research or for their own interest and be given recommendations based on their scores.
Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review
As enrolments in online courses continue to increase, there is a need to understand how students can best apply self-regulated learning strategies to achieve academic success within the online environment. A search of relevant databases was conducted in December 2014 for studies published from 2004 to Dec 2014 examining SRL strategies as correlates of academic achievement in online higher education settings. From 12 studies, the strategies of time management, metacognition, effort regulation, and critical thinking were positively correlated with academic outcomes, whereas rehearsal, elaboration, and organisation had the least empirical support. Peer learning had a moderate positive effect, however its confidence intervals crossed zero. Although the contributors to achievement in traditional face-to-face settings appear to generalise to on-line context, these effects appear weaker and suggest that (1) they may be less effective, and (2) that other, currently unexplored factors may be more important in on-line contexts.
Using formative assessment to influence self-and co-regulated learning: the role of evaluative judgement.
Recently, the concept of evaluative judgement has gained attention as a pedagogical approach to classroom formative assessment practices. Evaluative judgement is the capacity to be able to judge the work of oneself and that of others, which implies developing knowledge about one’s own assessment capability. A focus on evaluative judgement helps us to better understand what is the influence of assessment practices in the regulation of learning. In this paper, we link evaluative judgement to two self-regulated learning models (Zimmerman and Winne) and present a model on the effects on co-regulation of learning. The models help us to understand how students can be self-regulated through developing their evaluative judgement. The co-regulation model visualises how the learner can become more strategic in this process through teacher and peer assessment in which assessment knowledge and regulation strategies are shared with the learner. The connections we make here are crucial to strengthening our understanding of the influence of assessment practices on students’ learning.
How does self-regulated learning influence formative assessment and summative grade? Comparing online and blended learners.
The literature regarding formative assessment and Self-Regulated Learning (SRL) has focused on the ways in which formative assessment improves SRL. This study, on the other hand, evaluated whether SRL characteristics impact successful engagement with formative assessment, and subsequent summative performance in both online and blended learning contexts. Ninety-six blended and 85 online learners completed a formative assessment task, received feedback, and then resubmit the assessment for a summative grade. Overall, while there were differences between learning contexts, SRL, and performance, many variables were not significant predictors of performance. Online learners who were confident, managed their time well and regulated their efforts saw the greatest benefits, though these effects were small when viewed individually. Blended learners, to a lesser extent, also benefited from confidence and effort regulation. To the authors' knowledge, this is the first study to test SRL characteristics as drivers of performance during a formative task across two learning contexts.
Comparing online and blended learner's self-regulated learning strategies and academic performance
The existing literature suggests that self-regulated learning (SRL) strategies are relevant to student grade performance in both online and blended contexts, although few, if any, studies have compared them. However, due to challenges unique to each group, the variety of SRL strategies that are implicated, and their effect size for predicting performance may differ across contexts. One hundred and forty online students and 466 blended learning students completed the Motivated Strategies for Learning Questionnaire. The results show that online students utilised SRL strategies more often than blended learning students, with the exception of peer learning and help seeking. Despite some differences in individual predictive value across enrolment status, the key SRL predictors of academic performance were largely equivalent between online and blended learning students. Findings highlight the relative importance of using time management and elaboration strategies, while avoiding rehearsal strategies, in relation to academic subject grade for both study modes.
Effects of mobile-app learning diaries vs online training on specific self-regulated learning components
Self-regulated learning (SRL) is associated with increased academic achievement and improved learning outcomes for students. Thus, it is import to find ways to improve SRL, such as through training. Face-to-face training, discipline-dependent training, and paper-and-pencil diaries are limited in the number of students they can reach. The current randomised control study implemented discipline-independent online training and novel mobile-app based diaries and tested SRL motivation and perceived strategy use in 73 University students from mixed disciplines and study mode. Results showed that participants in the combined condition (training with diaries) improved more than other conditions. Specifically, they improved on SRL knowledge, metacognitive strategies, cognitive strategies (elaboration, organisation and critical thinking), and resources management strategies (time-management and effort regulation). The present study extends previous findings, showing that positive effects can be found for SRL when a discipline-independent approach is used coupled with online training and a mobile-app based daily diary.
Profiles in self-regulated learning and their correlates for online and blended learning students
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.