Evidence for Plan and run your learning: the cycle #

Every substantive claim on the Plan and run your learning: the cycle page is checked against current research. Here is each claim, how well today’s evidence supports it, and the sources. The full, de-duplicated source list lives on the references page.

Supported · strong evidence — Effective learners self-regulate by cycling through three phases — planning before they start (forethought), monitoring and managing themselves while they work (performance), and reflecting once they are done (self-reflection).

Zimmerman’s three-phase cyclical model (forethought, performance, self-reflection) is the canonical framework for self-regulated learning and the standard reference across educational psychology.

Sources: Zimmerman (2002), Becoming a Self-Regulated Learner: An Overview, Theory Into Practice — https://doi.org/10.1207/s15430421tip4102_2 · full reference ›

Supported · strong evidence — Planning a learning session involves both choosing a target and method (strategic task analysis) and the motivational beliefs behind it — notably self-efficacy and the perceived value of the task.

Zimmerman explicitly places goal setting and strategic planning, plus self-motivation beliefs (self-efficacy, task value, goal orientation), within the forethought phase; this composition is standard in the SRL literature.

Sources: Zimmerman (2002), Becoming a Self-Regulated Learner: An Overview, Theory Into Practice — https://doi.org/10.1207/s15430421tip4102_2 · full reference ›

Supported · strong evidence — Self-monitoring during study — keeping an eye on your own attention, comprehension and progress — is a core component of self-regulation that lets learners adjust their approach while they work rather than only discovering problems later.

Self-observation and metacognitive monitoring during the performance phase is a defining feature of Zimmerman’s model and of the SRL frameworks reviewed by Panadero.

Sources: Zimmerman (2002), Becoming a Self-Regulated Learner: An Overview, Theory Into Practice — https://doi.org/10.1207/s15430421tip4102_2 · Panadero (2017), A Review of Self-Regulated Learning: Six Models and Four Directions for Research, Frontiers in Psychology — https://doi.org/10.3389/fpsyg.2017.00422 · full reference ›

Supported · strong evidence — Learning is better described as a cyclical, feedback-driven loop than as a one-way linear sequence ending in review: reflection on one attempt feeds forward into the planning of the next.

Panadero’s review of the major self-regulated-learning models finds they converge on a cyclical feedback-loop structure in which reflection on one cycle informs the next, despite differing in their components.

Sources: Panadero (2017), A Review of Self-Regulated Learning: Six Models and Four Directions for Research, Frontiers in Psychology — https://doi.org/10.3389/fpsyg.2017.00422 · full reference ›

Supported · moderate evidence — Learners who plan, monitor and reflect on their own learning tend to achieve more than those who do not.

Meta-analytic evidence links self-regulated-learning and metacognitive strategy use to higher achievement; effects are positive and educationally meaningful but vary by strategy, measure, age group and how SRL is operationalised.

Sources: Dignath & Büttner (2008), Components of fostering self-regulated learning among students: A meta-analysis on intervention studies, Metacognition and Learning — https://doi.org/10.1007/s11409-008-9029-x · Zimmerman (2002), Becoming a Self-Regulated Learner: An Overview, Theory Into Practice — https://doi.org/10.1207/s15430421tip4102_2 · full reference ›

Supported · moderate evidence — Self-regulation is a set of learnable habits rather than a fixed trait: training in planning, monitoring and reflection strategies improves students’ self-regulation and performance.

Dignath & Büttner’s meta-analysis of SRL training studies in primary and secondary school found instruction in self-regulation strategies produced positive effects on achievement and self-regulation, supporting trainability while noting variability across implementations.

Supported · strong evidence — People are poor judges of their own learning in the moment — fluent, familiar material feels learned when it is not — so a deliberate review, especially one that tests recall rather than rereads, is needed to reveal what was actually retained.

It is well established that subjective fluency from rereading inflates judgements of learning relative to actual retention, and that monitoring accuracy improves when learners self-test; Dunlosky et al.’s review and the broader metacognition literature support this.

Sources: Dunlosky, Rawson, Marsh, Nathan & Willingham (2013), Improving Students’ Learning With Effective Learning Techniques, Psychological Science in the Public Interest — https://doi.org/10.1177/1529100612453266 · Koriat & Bjork (2005), Illusions of Competence in Monitoring One’s Knowledge During Study, Journal of Experimental Psychology: LMC — https://doi.org/10.1037/0278-7393.31.2.187 · full reference ›

Supported · strong evidence — Testing yourself (retrieval practice) and spreading study across days with gaps (spacing) are among the most reliably effective learning methods for producing durable retention, and underpin the ‘practise’ stage of the cycle.

Dunlosky et al. (2013) rated practice testing and distributed practice as high-utility, broadly applicable techniques with strong evidence; both are among the most replicated findings in the science of learning.