Self-regulated learning: 8 things we know about learning across the lifespan in a complex world

The work by Robert A. Bjork and his colleagues is very helpful to make sense of the limitations of learners’ perceptions. Here are 8 summary points from their paper about self-regulated learning.

  • Our complex and rapidly changing world increasingly requires self-initiated, self-managed, and self-regulated learning, not simply during the years associated with formal schooling, but across the lifespan.
  • Learning how to learn is, therefore, a critical survival tool, but research on learning, memory, and metacognitive processes has demonstrated that learners are prone to intuitions and beliefs about learning that can impair, rather than enhance, their effectiveness as learners.
  • Becoming sophisticated as a learner requires not only acquiring a basic understanding of the encoding and retrieval processes that characterize the storage and subsequent access to the to-be-learned knowledge and procedures, but also knowing what self-regulated learning activities and techniques support long-term retention and transfer.
  • Managing one’s ongoing learning effectively requires accurate monitoring of the degree to which learning has been achieved, coupled with appropriate selection and control of one’s learning activities in response to that monitoring.
  • Assessing whether learning has been achieved is difficult because conditions that enhance performance during learning can fail to support long-term retention and transfer, whereas other conditions that appear to create difficulties and slow the acquisition process can enhance long-term retention and transfer.
  • Learners’ judgments of their own degree of learning are also influenced by subjective indices, such as the sense of fluency in perceiving or recalling to-be-learned information, but such fluency can be a product of low-level priming and other factors that are unrelated to whether learning has been achieved.
  • Becoming maximally effective as a learner requires interpreting errors and mistakes as an essential component of effective learning rather than as a reflection of one’s inadequacies as a learner.
  • To be maximally effective also requires an appreciation of the incredible capacity humans have to learn and avoiding the mindset that one’s learning abilities are fixed.
  • Reference:

    Bjork, R.A., Dunlosky, J., Kornell, N., 2013. Self-Regulated Learning: Beliefs, Techniques, and Illusions. Annu. Rev. Psychol. 64, 417–444. https://doi.org/10.1146/annurev-psych-113011-143823

    #learningStrategy #lifelongLearning #memory #metacognition #retrieval #selfManagedLearning #selfRegulatedLearning #transfer

    The Self-Regulated Learning Guide: Teaching Students to Think in the Language of Strategies

    The Self-Regulated Learning Guide introduces K-12 teachers to the basics of self-regulation. Highly practical and supported by cutting-edge research.

    @bookstodon
    #books
    #nonfiction
    #teaching
    #SelfRegulatedLearning
    #SLR

    Mindful Learning: Metacognitive Learning Explained

    Delve into the science that makes you a better learner. Perfect your learning abilities by understanding and using metacognitive learning techniques.

    LearnLever

    Are you a #highered course designer or #educator who wants to create #multimedia resources that maximize #students capacity for #SelfRegulatedLearning ? Then Shelbi Kuhlmann, Matt Bernacki, and I have the article for you! In it, we show Mayer's #cognitive theory of multimedia learning can be leveraged to help students learn and #SelfRegulate https://onlinelibrary.wiley.com/doi/full/10.1002/tl.20544

    #education #psychology #EducationalPsychology @edutooters @psychology

    To expand upon my comment yesterday that measuring #SelfRegulatedLearning is hard: in this article Molenaar et al. create a grid of SRL processes, multimodal data types, and analysis techniques to map where work has been done and where more work is needed. Lots of space to cover, and lots of validation and verification work to be done. I'm particularly interested in integrated, multi-process work.

    https://doi.org/10.1016/j.chb.2022.107540

    #education #psychology #EducationalPsychology @edutooters @psychology

    I'm deeply interested in #SelfRegulatedLearning and #CriticalThinking so I encourage work like the article linked here. And I like that they used a performance-based assessment of CT. I share the authors' concerns about measuring SRL with a survey, even when it targets a specific task just completed. I'm just not sure we get a lot from such surveys. Measuring SRL is tough.

    https://doi.org/10.1080/03075079.2023.2227207

    #education #psychology #EducationalPsychology @edutooters @psychology

    @jeffgreene @edutooters @psychology

    If #SelfRegulatedLearning were my daughter and she started dating #CognitiveLoad, I'd take her out for lunch and try to artfully suggest she think twice about getting mixed up with the guy.

    In this article, I like that Wang and Lajoie have pulled together the various attempts to integrate #SelfRegulatedLearning & #CognitiveLoad into a single dynamic model. There's A LOT to unpack & investigate, including the idea of metacognitive load & how people's interpretations of it interact with task perceptions to affect metacognitive processing.

    https://link.springer.com/article/10.1007/s10648-023-09794-6

    #education #psychology #EducationalPsychology @edutooters @psychology

    How Does Cognitive Load Interact with Self-Regulated Learning? A Dynamic and Integrative Model - Educational Psychology Review

    Although cognitive load (CL) and self-regulated learning (SRL) have been widely recognized as two determinant factors of students’ performance, the integration of these two factors is still in its infancy. To further specify why and how CL links with SRL, we first conducted an overview to describe the multiple dimensions of cognitive load (i.e., intrinsic, extraneous, germane load, mental load, and mental effort). Subsequently, information processing theory (i.e., the generative mechanism of cognitive load) was used to interpret three core aspects of the SRL framework: dynamic SRL, monitoring-control cycles, and conscious vs. unconscious SRL. Based on the above overview and existing perspectives on the associations between CL and SRL, five propositions are discussed: (1) conscious SRL induces additional metacognitive load; (2) invested mental effort is monitored and regulated during SRL processes; (3) mental load affects SRL processes; (4) mental effort influences metacognitive judgments and further task selections; and (5) learners should optimize cognitive load during SRL. Finally, this paper proposes a dynamic and integrative model to exhibit that different dimensions of cognitive load play varying roles in the dynamic SRL process. This proposed model is the first to clarify how SRL subprocesses relate to multiple cognitive load dimensions. In addition, this model also informs the design of intelligent tutoring systems and adaptive scaffolding. Several future research directions are recommended to validate the proposed model.

    SpringerLink

    1/ Kudos to Dinsmore et al for surfacing the need to integrate various "camps" of #research on #cognitive processing and how it relates to #learning. Research on student approaches to learning (deep/surface #strategies), models of domain learning, and #SelfRegulatedLearning can and should inform one another, particularly in terms of how person and context interact over time to affect learning. https://doi.org/10.1007/s10648-023-09789-3

    #education #psychology #EducationalPsychology @edutooters @psychology

    PhD Candidate in Psychological Methods for Optimizing Personalized Learning at Scale

    PhD Candidate in Psychological Methods for Optimizing Personalized Learning at Scale