Evidence for Lesson Reviews #

Every substantive claim on the Lesson Reviews 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 — Reconstructing a lesson from memory before checking your notes is a retrieval attempt, and retrieving information from memory produces more durable learning than reviewing the same material again (the testing effect).

Roediger & Karpicke showed that a single retrieval test produced far better long-term retention than repeated restudy, and the broader testing-effect literature (meta-analysed across hundreds of comparisons) confirms a robust advantage of practising retrieval over re-presentation. A from-memory lesson review is a naturalistic instance of this.

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 — Even an unsuccessful attempt to recall something — the blanks you cannot fill in a from-memory review — benefits later learning, provided you then find out the correct answer.

Research on retrieval and pretesting shows that effortful, even initially failed, retrieval followed by corrective feedback enhances subsequent retention relative to studying alone; the page’s ‘check your notes afterward to fill the blanks’ protocol matches this. Rated moderate because the size of the benefit depends on feedback being supplied.

Sources: Kornell, Hays & Bjork (2009), Unsuccessful retrieval attempts enhance subsequent learning, Journal of Experimental Psychology: LMC — https://doi.org/10.1037/a0015729 · 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 · full reference ›

Supported · strong evidence — Spacing your encounters with material over time — the lesson, a review hours later, a glance at your assertions later still — produces more durable retention than massing them together.

The spacing (distributed-practice) effect is among the most replicated findings in memory research; Cepeda et al.’s quantitative synthesis of verbal-recall studies confirms distributed practice reliably beats massed practice for long-term retention. Treating the post-lesson review as a first spaced repetition is well supported.

Supported · moderate evidence — Reviewing soon after a lesson, while the session is still recoverable, is a sensible time to schedule a first repetition because memory for recently learned material declines rapidly without review.

Forgetting is steepest soon after learning, and a review timed before too much has been lost is consistent with optimal-spacing work showing the best inter-study gap scales with the intended retention interval. The page’s ‘within a few hours’ guidance is a reasonable first gap rather than a precisely optimal one, hence moderate.

Sources: Cepeda, Vul, Rohrer, Wixted & Pashler (2008), Spacing effects in learning: A temporal ridgeline of optimal retention, Psychological Science — https://doi.org/10.1111/j.1467-9280.2008.02209.x · full reference ›

Supported · strong evidence — Re-reading your notes feels like reviewing but is a low-utility strategy: it inflates fluency without producing the durable learning that active recall does, so it should not be the core of a review.

Dunlosky et al. rated re-reading low-utility and practice testing high-utility; re-reading raises subjective familiarity (an illusion of competence) far more than it raises retention. The page’s correction — run the review from memory first, then check notes — is squarely supported. This replaces an earlier framing that treated reading the notes back as the review itself.

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 · full reference ›

Supported · strong evidence — Reviewing items repeatedly on a spacing schedule, such as a short assertions list revisited over days and weeks, improves long-term retention of those items.

Repeated, spaced review of a fixed set of items is the canonical application of the spacing effect and underlies spaced-repetition systems; long-term retention reliably improves relative to a single massed review. Well supported.

Sources: Cepeda, Pashler, Vul, Wixted & Rohrer (2006), Distributed practice in verbal recall tasks: A review and quantitative synthesis, Psychological Bulletin — https://doi.org/10.1037/0033-2909.132.3.354 · 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 · moderate evidence — Identifying root causes after an adverse event, rather than stopping at the first obvious cause, helps prevent recurrence; serious failures usually arise from a chain of contributing factors rather than a single cause.

Reason’s organisational-accident (‘Swiss cheese’) model — foundational in aviation and patient-safety practice — holds that critical failures result from multiple aligned weaknesses rather than one cause, supporting the page’s Five Whys premise that critical issues rarely happen alone. This is a well-accepted safety-science framework; the specific Five Whys tool has practical pedigree (Toyota) but limited controlled efficacy evidence, hence the indirect-evidence flag and moderate strength.

Sources: Reason (2000), Human error: models and management, BMJ — https://doi.org/10.1136/bmj.320.7237.768 · full reference ›

Mixed · weak evidence — Briefly mentally rehearsing a future flight (an NLP ‘swish’) reliably makes a learner leave on time and change a habit such as staying out the night before.

The earlier page recommended a neuro-linguistic programming ‘swish pattern’ as something that ‘may help you leave when you intend to.’ NLP techniques lack credible empirical support; reviews of the research base find NLP’s specific claims largely unsubstantiated. This specific behaviour-change claim has been removed from the page. (General mental practice can aid skilled performance, but that is a different, narrower claim than NLP’s.)

Sources: Witkowski (2010), Thirty-five years of research on Neuro-Linguistic Programming. NLP research data base. State of the art or pseudoscientific decoration?, Polish Psychological Bulletin — https://doi.org/10.2478/v10059-010-0008-0 · Sturt, Ali, Robertson et al. (2012), Neurolinguistic programming: a systematic review of the effects on health outcomes, British Journal of General Practice — https://doi.org/10.3399/bjgp12X658287 · full reference ›