Evidence for Review and reflect: close the loop #

Every substantive claim on the Review and reflect: close the loop 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 — Review and reflection is the self-reflection phase of self-regulated learning, whose output feeds forward into planning the next attempt rather than being a final tidy-up step at the end of a one-way sequence.

Zimmerman’s canonical model places self-reflection (self-judgement and self-reaction) as the third, cyclical phase whose outcome feeds the next forethought phase; treating review as a feedback loop rather than a linear endpoint is the standard view in self-regulated-learning research.

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 — Rereading familiar material produces a feeling of fluency that learners misread as evidence of learning, so review by rereading systematically overestimates what has actually been retained.

Dunlosky et al. rate rereading as low-utility and note that the fluency it generates inflates judgements of learning relative to real retention; the illusion-of-competence effect is well replicated and remains a textbook finding.

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 · moderate evidence — A review that requires you to retrieve material with the book closed reveals gaps that rereading hides, giving a more accurate read on what has and has not been learned.

Monitoring accuracy improves when learners attempt retrieval rather than restudy, because a failed retrieval immediately exposes an unlearned item; this corrective function of self-testing is well established across the metamemory literature.

Sources: 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 · 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 · full reference ›

Supported · strong evidence — Taking a test does not merely measure what has been learned; the act of retrieving information under test conditions itself strengthens later memory (the testing effect).

The testing (retrieval-practice) effect — that retrieving information produces more durable retention than restudying it — is one of the most robust and replicated findings in the science of learning, demonstrated by Roediger & Karpicke and confirmed in subsequent meta-analyses. This corrects the page’s older framing of tests as pure measurement.

Sources: Roediger & Karpicke (2006), Test-Enhanced Learning: Taking Memory Tests Improves Long-Term Retention, Psychological Science — https://doi.org/10.1111/j.1467-9280.2006.01693.x · Adesope, Trevisan & Sundararajan (2017), Rethinking the Use of Tests: A Meta-Analysis of Practice Testing, Review of Educational Research — https://doi.org/10.3102/0034654316689306 · full reference ›

Supported · moderate evidence — Attempting to recall material and failing, then receiving the correct answer, improves subsequent learning more than simply restudying — so a wrong attempt during review is not wasted.

Benefits of attempting retrieval before feedback, including from unsuccessful attempts, are supported by Kornell and colleagues and the broader pretesting/errorful-generation literature, with the consistent caveat that corrective feedback after the attempt is important.

Sources: Kornell, Hays & Bjork (2009), Unsuccessful Retrieval Attempts Enhance Subsequent Learning, Journal of Experimental Psychology: LMC — https://doi.org/10.1037/a0015729 · Kornell & Bjork (2008), Learning Concepts and Categories: Is Spacing the ‘Enemy of Induction’?, Psychological Science — https://doi.org/10.1111/j.1467-9280.2008.02127.x · full reference ›

Supported · moderate evidence — Learners who overestimate their own knowledge study less and stop too early, and this overconfidence causally produces lower achievement — so a review’s value is in catching that miscalibration.

Dunlosky & Rawson found across course assessments that overconfident self-monitoring led students to terminate study prematurely and underachieve; the link between poor calibration, premature stopping, and worse outcomes is well established in the self-regulated-learning literature.

Sources: Dunlosky & Rawson (2012), Overconfidence Produces Underachievement: Inaccurate Self-Evaluations Undermine Students’ Learning and Retention, Learning and Instruction — https://doi.org/10.1016/j.learninstruc.2011.08.003 · full reference ›

Supported · moderate evidence — The less someone knows about a topic, the more they tend to overestimate their competence, because the knowledge needed to perform a task well is also the knowledge needed to recognise poor performance — so a beginner’s confidence is least trustworthy when it feels most solid.

Kruger & Dunning’s core observation that low performers lack the metacognitive insight to recognise their deficits is robust and replicated; the magnitude and statistical interpretation (regression to the mean, better-than-average effects) are debated, but the practical lesson that beginners are poorly calibrated holds.

Sources: Kruger & Dunning (1999), Unskilled and Unaware of It, Journal of Personality and Social Psychology — https://doi.org/10.1037/0022-3514.77.6.1121 · full reference ›

Supported · moderate evidence — Feedback is most useful when it arrives while the task is still live and you can act on it, rather than long after the work is mentally closed.

Hattie & Timperley’s influential synthesis frames effective feedback as reducing the gap between current and desired performance, which depends on it being timely and actionable; the value of timely, task-focused feedback during learning is broadly supported, with effect sizes varying by type and context.

Sources: Hattie & Timperley (2007), The Power of Feedback, Review of Educational Research — https://doi.org/10.3102/003465430298487 · full reference ›

Supported · moderate evidence — Continual external correction every time a learner errs can prevent them from learning to monitor and correct themselves, so guidance should fade as the learner takes over (the scaffolding-fade principle).

The goal of moving learners toward self-regulation, with external feedback/scaffolding gradually withdrawn, is a well-accepted principle in the feedback and self-regulated-learning literatures; it is more an established design heuristic than a single quantified effect.

Sources: Hattie & Timperley (2007), The Power of Feedback, Review of Educational Research — https://doi.org/10.3102/003465430298487 · Zimmerman (2002), Becoming a Self-Regulated Learner: An Overview, Theory Into Practice — https://doi.org/10.1207/s15430421tip4102_2 · full reference ›

Supported · moderate evidence — A self-judgement of how well you have learned something is more accurate when it is made after a delay than immediately after study, so it is better to wait before deciding you ‘have it’.

Nelson & Dunlosky’s delayed-judgement-of-learning effect — that predictions made after a delay predict later recall far better than immediate ones — is a reliable and frequently replicated finding in metamemory research.

Sources: Nelson & Dunlosky (1991), When People’s Judgments of Learning (JOLs) Are Extremely Accurate at Predicting Subsequent Recall: The ‘Delayed-JOL Effect’, Psychological Science — https://doi.org/10.1111/j.1467-9280.1991.tb00147.x · full reference ›

Supported · moderate evidence — Planning, self-monitoring and reflection are learnable habits, and learners who practise them tend to achieve more than those who do not.

That self-regulation skills are trainable and associated with higher achievement is supported by Zimmerman’s framework and by meta-analytic intervention evidence; effects are positive and educationally meaningful but vary by strategy, age and implementation.

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