The (un)conscious learner: How meta-awareness influences self-regulated learning
Daniel Ebbert, Caitlin Mills, Phil Winne, Negin Mirriahi, Srecko Joksimovic
Abstract
This theoretical paper investigates a proposed link between self-regulated learning (SRL) and off-task thought by applying the COPES model of SRL. Although previous work suggests learners’ thoughts drift off task quite often, there has been little theorizing to date about how they react once they realize they are no longer on task. Here, we suggest that the metacognitive monitoring and control cycle that is integral to SRL may play a key role at this stage of the ‘mind wandering cycle’ through enhanced meta-awareness. Key concepts discussed include metacognition, meta-awareness, and the aspects of the COPES model. The paper seeks to clarify how learners’ self-regulatory abilities might affect their experiences of off-task thoughts through increased meta-awareness. It aims to lay a foundation for future research into the self-regulation dynamics that facilitate effective learning. Empirical studies are suggested to test the viability of this proposed connection between self-regulation processes and off-task thought experiences.
Date
Thursday, 12 Sep 2024
Location
University of Heidelberg
Heidelberg,

PhD candidate at the University of South Australia
I am a PhD candidate at the University of South Australia’s Centre for Change and Complexity in Learning. Prior to my doctoral studies, I worked as a Research Associate and Systems Administrator supporting university lecturers with educational technology in Germany. My doctoral research explores the intersection of self-regulated learning and mind wandering during video-based learning, specifically examining how learners adapt their learning processes after recognizing mind wandering episodes. This research aims to develop evidence-based recommendations for effective responses to mind wandering during learning. Following my PhD, I plan to expand my research beyond video-based contexts to investigate the conditions under which self-regulated learners engage in task-level, ad-hoc adaptation of their learning processes.