Spaced Practice Improves Retention¶

Claim · All claims
Evidence · 5 studies · 3 quant-synthesis r?, 2 causal r2 · q3–q4 · i2–i3
Currency · newest study 2022 · 3 of 5 entries checked against their sources (automated) · not reviewed by a person

Practicing or reviewing material across multiple sessions separated in time produces stronger long-term retention than concentrating the same amount of practice into a single session (massed practice).

Subclaims¶

q4 i? Across 271 massed-versus-spaced comparisons in verbal recall tasks, spaced presentation of the same study time raised final-test recall from 36.7% to 47.3% on average, and only 12 comparisons showed no benefit or a reversal; the review reports this as accuracy differences, not standardised effect sizes. → Cepeda et al. 2006

q3 i2 A meta-analysis of 63 studies spanning verbal, cognitive and motor tasks found spaced practice outperformed massed practice with a mean weighted effect size of 0.46, but the effect was moderated by task type and inter-trial interval, and was larger in low-rigour studies. → Donovan and Radosevich 1999

q3 i3 In a randomised experiment with 1,354 adults learning trivia facts, the best gap between two study sessions beat a same-session review by d = 1.1 on recall tested up to a year later, and the best gap grew with the delay to the test. → Cepeda et al. 2008

q3 i? Across 48 second-language experiments, spacing had what the authors call a medium-to-large effect, and longer spacing beat shorter spacing on delayed but not immediate posttests; the abstract prints no effect sizes. → Kim and Webb 2022

q3 i? With 128 Japanese college students learning 20 English–Japanese word pairs, the amount of spacing (massed, short, medium or long) had a significant main effect that the author reports as producing large effect sizes. → Nakata 2015

q4 i? A quantitative synthesis of the verbal-recall literature found spaced practice superior to massed practice at every retention interval examined, from under a minute to over 30 days, and found that the gap between study sessions giving the best retention increased as the retention interval lengthened. → Cepeda et al. 2006

q3 i? The optimal gap scales with how long the material must be retained: gaps that maximise recall at one week are too short for a test months later. There is no fixed best interval to configure. → Cepeda et al. 2008

q3 i2 A meta-analysis outside the verbal-learning laboratory, covering task practice, put the distribution-of-practice effect at d = 0.46 and found it moderated by task complexity. → Donovan & Radosevich 1999

q4 i? Across 271 massed-versus-spaced comparisons in verbal recall tasks, spaced presentation raised final-test recall from 36.7% to 47.3% correct with study time held equal, and only 12 comparisons showed no or a negative spacing effect; the benefit appeared at short as well as long retention intervals. → Cepeda et al. 2006

q3 i? In a single study of more than 1,350 people learning facts, the review gap that maximised final-test performance grew as the test delay grew, but shrank as a proportion of it: from about 20–40% of a 1-week delay to about 5–10% of a 1-year delay. → Cepeda et al. 2008

Evidence¶

Cepeda et al. 2006¶

Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380. doi:10.1037/0033-2909.132.3.354

q4 · meta-analysis · i? · no standardised effect size for massed vs spaced; accuracy difference 36.7% vs 47.3% correct · n=271 comparisons / 254 studies / 14,811 participants · quant-synthesis · r?

A quantitative review of 839 assessments of distributed practice in 317 experiments from 184 articles, all using verbal recall tasks. For the spacing comparison it set massed study (one uninterrupted presentation or a lag under one second) against the shortest spaced interval in each study, with study time held equal. Averaged over all retention intervals, final recall was 36.7% after massed and 47.3% after spaced study (t(540) = 6.6, p < .001). A spacing benefit appeared in every retention-interval band, from under a minute to over 30 days. Effect sizes could not be pooled for this comparison because too few studies reported the data needed. Most of the data come from young adults (Table 10 counts 714 performance differences for ages 18–35, against 29 preschool, 26 elementary, 29 junior high and 14 high school), so evidence for children's long-term retention is thin: the authors say they "cannot say for certain that children's long-term memory will benefit from distributed practice."

Donovan and Radosevich 1999¶

Donovan, J. J., & Radosevich, D. J. (1999). A meta-analytic review of the distribution of practice effect: Now you see it, now you don't. Journal of Applied Psychology, 84(5), 795–805. doi:10.1037/0021-9010.84.5.795

q3 · meta-analysis · i2 · medium effect, mean weighted d=0.46 · n=63 studies (112 effect sizes) · quant-synthesis · r?

A meta-analysis of 63 studies comparing spaced with massed practice on a wide range of tasks, including motor skills such as typing and rotary pursuit as well as verbal tasks. Its outcome is task performance rather than delayed retention specifically. Spaced practice produced higher performance overall, with a mean weighted effect size of 0.46. The effect depended on the type of task, the interval between trials and how the two interacted. Studies with low methodological rigour produced significantly larger effects, which is why this entry is coded q3 rather than q4. Cepeda et al. (2006) summarise this review as finding that longer lags increased effects for verbal tasks up to a point, but reduced them for skill tasks such as typing, gymnastics and music. That qualifies the claim for complex and motor skills.

Cepeda et al. 2008¶

Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H. (2008). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological Science, 19(11), 1095–1102. doi:10.1111/j.1467-9280.2008.02209.x

q3 · randomised between-subjects experiment · i3 · large effect, d=1.1 recall (optimal gap vs zero gap) · n=1354 · causal · r2

1,354 adults from an online research panel (mean age 34) learned 32 obscure trivia facts and reviewed them once, after a gap of up to 3.5 months. Each person was randomly assigned to one of 26 combinations of gap and test delay, and the final test came up to a year after the review. At every test delay, recall first rose as the gap grew and then declined. With study time held fixed, the best gap raised final recall by 64% (d = 1.1) and recognition by 26% (d = 1.5), compared with reviewing in the same session. The best gap was about 20% of the test delay when the test came a few weeks later, falling to about 5% for a one-year delay. The reported d values compare the post hoc best gap with a zero gap, so they are an upper bound for any single chosen schedule, and fewer people completed the longer conditions.

Kim and Webb 2022¶

Kim, S. K., & Webb, S. (2022). The effects of spaced practice on second language learning: A meta-analysis. Language Learning, 72(1), 269–319. doi:10.1111/lang.12479

q3 · meta-analysis (abstract only) · i? · no effect size printed in the abstract; spacing effect described as medium-to-large · n=48 experiments (98 effect sizes, N=3,411) · quant-synthesis · r?

This meta-analysis pooled 98 effect sizes from 48 second-language experiments (3,411 participants) on spaced practice, comparing spaced with massed practice, longer with shorter spacing, and equal with expanding spacing on immediate and delayed posttests. The authors report that spacing had a medium-to-large effect on second language learning; that shorter spacing was as effective as longer spacing on immediate posttests but less effective on delayed posttests; and that equal and expanding spacing were statistically equivalent. Differences in the spacing effect across studies were explained by the learning target, number of sessions, type of practice, activity type, feedback timing and retention interval. Read from the abstract only: it prints no pooled effect sizes, confidence intervals or spacing intervals, so the size of each comparison, the gaps the studies used and the learners' ages and proficiency are not established here.

Nakata 2015¶

Nakata, T. (2015). Effects of expanding and equal spacing on second language vocabulary learning: Does gradually increasing spacing increase vocabulary learning? Studies in Second Language Acquisition, 37(4), 677–711. doi:10.1017/s0272263114000825

q3 · peer-reviewed experiment (abstract only) · i? · no effect size printed in the abstract · n=128 · causal · r?

128 Japanese college students studied 20 English–Japanese word pairs under expanding or equal spacing, with the amount of spacing set at massed, short, medium or long. The main effect of the amount of spacing was significant and, in the author's words, produced large effect sizes; the author concludes that introducing spacing may matter more than whether it expands. Read from the abstract only: it prints no effect sizes, retention intervals or group sizes, and does not say how learners were assigned to conditions.

Studies bearing on this claim¶

Does spreading study or practice over sessions improve later retention more than massing the same amount of it? This table gathers the studies behind this claim and the 21 narrower claims that bear on it: 18 distinct studies (8 causal, 6 review, 4 quant-synthesis), q2–q4, 5 of 18 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Discussion¶

Mechanism. Spacing is commonly explained by desirable-difficulty accounts: a delay between study episodes forces partial forgetting, so retrieval at the next session requires more effortful reconstruction, which strengthens the memory trace more than immediate, easy retrieval would. Consolidation-based accounts add that time between sessions allows memory traces to stabilize. Both accounts predict the same design implication: the optimal gap scales with the retention interval — longer delays to the final test call for longer spacing gaps.

Massed practice feels effective but isn't. A recurring boundary condition is a metacognitive one: learners often judge massed practice to be more effective because performance during practice is smoother and more fluent, while spaced practice feels harder [-M]. Designers should therefore not rely on learner preference when scheduling review; the subjective fluency of massed study is a poor proxy for retention. This makes spacing a case where instructional structure should override learner choice, in tension with claims that autonomy supports intrinsic motivation [~M] — the resolution is to build spacing into the schedule (e.g., recurring review sessions, spiral curricula) rather than leaving it to learners to opt into.

Interaction with retrieval. Spacing and retrieval are complementary levers: a spaced schedule can be filled with restudy or with retrieval practice, and the two mechanisms compound rather than substitute for each other [+M]. Designers should treat spacing as the scheduling decision and retrieval as the activity within each session.

Scope and moderators. The spacing effect is among the most replicated findings in memory research [+S], but most demonstrations use verbal recall or simple facts; whether the benefit holds equally for complex skills (e.g., multi-step procedures, motor skills) is an open question [~W], and the optimal gap may differ as expertise grows — a question related to the expertise reversal effect. Because spacing imposes a desirable difficulty, it also interacts with cognitive overload: gaps that are too short leave little reconstruction benefit, while gaps that are too long can push learners past what they can recover [~M], so gap calibration is a load-management problem as much as a memory one.

Evidence status. The evidence section records two meta-analyses (Cepeda et al. 2006; Donovan & Radosevich 1999), one large randomised experiment (Cepeda et al. 2008) and two second-language sources (Kim & Webb 2022; Nakata 2015). evidence_strength: is not set; the per-entry codes are the rating.

Merged from “Spaced Practice Improves Long Term Retention” (spaced-practice-improves-long-term-retention): Scope. This claim concerns the spacing of practice over time — the temporal distribution of study or rehearsal episodes — and its effect on delayed retention. It is distinct from (though often confounded with) the benefit of retrieving information during practice; spacing and retrieval are separable manipulations, and claims about retrieval belong on their own pages.

Boundary conditions. The spacing effect is generally robust, but its magnitude depends on the relationship between the spacing gap and the retention interval: gaps that are too short relative to the test delay yield little benefit, and very long gaps can risk forgetting between sessions [~M]. Spacing also increases the subjective difficulty of practice — learners often judge spaced practice less effective than massed practice even when it produces better retention [~S], which matters for learner choice and self-regulated scheduling.

Mechanistic accounts. Two complementary explanations dominate the literature: deficient processing (massed repetition invites shallow, attention-lapsed encoding) and study-phase retrieval or encoding variability (a longer gap forces partial retrieval or contextual variation at re-encounter, deepening the second episode). These accounts make different predictions about optimal gap size, and neither is fully settled. Both sit comfortably within information processing theory, which treats encoding conditions and time-based forgetting as central determinants of what persists in memory.

Desirable difficulty. Spacing is a canonical "desirable difficulty": it degrades performance during acquisition while improving delayed retention. This creates a practical tension with cognitive load management — designers must distinguish load that harms encoding from difficulty that strengthens it, and avoid interpreting learners' fluency-based judgments of effectiveness as evidence of learning. The same tension appears in cognitive load theory more broadly: conditions that make practice feel harder can be precisely the conditions that produce durable learning.

Design implications. Because learners systematically misjudge spacing as less effective, designers should not rely on learner preference when scheduling review [~S]. Curriculum-level scheduling — revisiting core content at expanding intervals across units, rather than blocking all practice of a topic into one session — operationalizes the effect at a scale learners cannot easily opt out of. Where learners control their own schedules, brief instruction on the spacing effect and on the unreliability of fluency as a cue for learning can support better self-regulated learning.

Open questions. Open empirical questions include how the spacing effect scales with complex, skill-based material (as opposed to verbal recall), and how spacing interacts with feedback timing.

Merged from “Spacing Improves Long Term Retention” (spacing-improves-long-term-retention): Mechanism. Spacing is commonly explained by encoding variability and by desirable-difficulty accounts: a delayed re-encounter forces partial retrieval and reconsolidation rather than a low-effort repetition of still-active memory traces. This places spacing in the same family as retrieval-based strategies, where the effort of reconstruction — not mere re-exposure — drives durable memory, consistent with general accounts of consolidation in information processing theory.

Massing is seductive. A recurring boundary condition is learner preference: massed practice often feels more effective and can produce better immediate performance, while spaced practice wins only on delayed tests. Designers and learners who evaluate learning by end-of-session fluency will systematically under-select spacing. This illusion is closely related to the broader problem that fluency judgments mislead learners about their own learning — judgments made at the end of a massed session reflect short-term familiarity, not durable memory.

Optimal gap. The benefit depends on the ratio of spacing gap to retention interval — the gap should scale with how long retention is required, not be maximized. Very long gaps with insufficient initial learning can leave material under-learned. This makes spacing a scheduling decision that must be tied to the assessment horizon, not a "longer is always better" rule.

Interaction with load. Spacing also functions as a load-management device: distributing practice keeps individual sessions within working-memory limits, complementing chunking and cognitive load theory approaches to session design. Massed sessions risk the overload documented in cognitive overload degrades learning, which spacing avoids by construction.

Design implication. Spacing pairs naturally with retrieval practice: a spaced schedule in which each re-encounter is a retrieval attempt rather than rereading compounds the benefit, since both the schedule and the encoding operation exploit desirable difficulty. Curriculum designers should build spaced review into course structure (e.g., cumulative quizzes, spiraled homework) rather than leaving it to learner choice, because learners left to their own preferences tend to mass.

Open questions. Open questions include how spacing interacts with complex-skill learning versus verbal recall, and whether optimal gaps differ for novices and experts.

Merged from “Spacing Improves Retention” (spacing-improves-retention): Mechanism. The dominant theoretical account is that spaced episodes create retrieval difficulty: after a delay, the learner must partially reconstruct the memory trace, and this effortful retrieval strengthens it more than easy, immediate review [+S]. Massed practice feels effective because performance during study is fluent, but this fluency is a poor index of durable learning — a classic dissociation between performance during instruction and long-term retention [+S]. This is why learners frequently misjudge spacing as inefficient and prefer massing, a metacognitive error that designers should anticipate when scheduling review [+S].

Moderators. The benefit depends on the ratio of spacing gap to retention interval; a gap that is too short produces little benefit, and a gap that is too long risks forgetting before the second encounter [~S]. Optimal gaps scale with the expected test delay [+S]. The effect is also moderated by learner expertise: for complex, element-interactive material, spacing interacts with the working-memory demands described in Cognitive Load Theory, and overly long gaps can leave novices without enough consolidated foundation to benefit from the second encounter [~M].

Boundary conditions. Spacing applies to repeated encounters with the same material; it does not substitute for the quality of the initial encoding. Pairing spacing with retrieval (testing) rather than restudy generally amplifies the benefit — see Retrieval practice improves long-term retention — but the retrieval component carries its own evidence base and should not be conflated with spacing alone [+S]. Spacing also differs from mere repetition of content exposure — the second encounter must involve some re-engagement with the material, not passive re-presentation [~M]. Interleaving different problem types within spaced sessions is a related but distinct scheduling manipulation; see Interleaving improves discrimination and learning.

Design implications. Schedule review of key content across at least two sessions separated by days rather than embedding all practice in one block; expand gaps as retention intervals lengthen [+S]. Because learners systematically prefer massing despite its inferior outcomes, course structures that mandate spaced review (cumulative quizzes, recurring retrieval of earlier units) are more reliable than leaving scheduling to learner choice [+M]. Adaptive scheduling systems that tune gaps to individual forgetting rates are a promising but still-developing application [+W].

Open questions. Most laboratory evidence uses verbal paired-associate or vocabulary materials; the magnitude of spacing benefits for complex skill acquisition and classroom learning over months-long intervals remains less firmly established [~W].

Second-language vocabulary and learning. Two second-language sources extend the claim beyond the verbal-recall laboratory literature above: Kim and Webb (2022) pooled 48 L2 experiments and report a medium-to-large spacing effect, with longer spacing better than shorter spacing on delayed posttests only, and Nakata (2015) found a large effect of the amount of spacing on L2 word-pair learning. Both entries rest on abstracts that print no effect sizes, so they support the direction for L2 learners, not a size.

Merged from “Spaced Repetition Improves Retention” (spaced-repetition-improves-retention): The spacing effect is one of the most robust findings in memory research. The entries below are two meta-analyses (Cepeda et al. 2006; Donovan & Radosevich 1999) and one large experiment (Cepeda et al. 2008). The wider literature — beginning with Ebbinghaus's forgetting-curve experiments and extending through modern meta-analyses of verbal learning and classroom studies — consistently favors spaced over massed practice for delayed retention tests, with the advantage growing as the retention interval lengthens [+S].

Optimal gap depends on retention interval. A recurring moderator in the literature is that the best spacing gap scales with how long the learner needs to remember: gaps that are optimal for a test one week later are too short for a test six months later [~M]. Designers of adaptive-learning systems and flashcard tools should treat spacing as a parameter to tune, not a fixed rule.

Mechanism. Dominant accounts attribute the effect to encoding variability and to desirable-difficulty processes — spaced study requires effortful retrieval and reconstruction of fading traces, which strengthens them more than the fluent, easy processing that massed study affords [+M]. This links spacing to retrieval practice, which compounds with spacing when spaced sessions require active recall rather than rereading [+M].

Boundary conditions. Spacing benefits are clearest for retention of discrete, relearnable items (vocabulary, facts, skills components). Complex, integrative tasks may benefit more from interleaving and varied practice than from simple temporal spacing of identical material [~W] — see Interleaving category examples improves inductive category learning for visual and mathematical materials, but not for expository texts or word categories.

Learner perception. Learners often judge massed study more effective because it feels fluent, while spaced study feels harder — a metacognitive illusion that can suppress spontaneous spacing [-M]. Explicit instruction about the spacing effect can partially correct this [+W].

Design implication. Because the effect is robust but its parameters are context-sensitive, practical implementations (expanding-interval flashcard schedules such as those in Anki or SuperMemo, spaced homework in course design) should pair scheduling with retrieval practice rather than rereading, and should calibrate gaps to the intended retention horizon.

Merged from “Distributed Practice Improves Retention” (distributed-practice-improves-retention): Mechanism. Two complementary accounts dominate. On a trace-strengthening or consolidation view, time between episodes allows memory traces to consolidate and partially decay, so re-encountering material at the point of near-forgetting strengthens it more than immediate repetition — an account consistent with Information Processing Theory. On a study-phase retrieval view, spaced episodes force learners to retrieve the earlier episode from long-term memory, and that retrieval itself strengthens the memory. Both accounts predict the same design implication: the gap should be long enough to make re-encoding effortful, but not so long that the material is fully forgotten. Spacing is thus a form of desirable difficulty, and its benefits are conceptually distinct from the working-memory mechanisms described in Cognitive Load Theory — see Cognitive load reduction improves learning.

Scope and moderators. The effect is most robust for verbal, declarative material (vocabulary, facts, definitions) and for delayed retention measures; the benefit on near-immediate tests is uneven rather than absent: Cepeda et al. (2006) found spaced study ahead even at retention intervals under one minute (50.1% vs 41.2% correct), while some short-interval bands showed small, non-significant differences (49.8% vs 48.9% at 1–10 minutes), so evaluations should still use delayed outcomes. The optimal spacing gap is not fixed: it grows with the retention interval, meaning a schedule optimal for a test next week is suboptimal for a test next semester. Spacing also interacts with retrieval practice — spaced retrieval is generally stronger than either spaced re-reading or massed retrieval — see Spaced Retrieval Improves Retention.

Boundary conditions. Learners systematically misjudge spacing: massed study feels more effective in the moment and is what learners prefer, while spaced study feels harder and its advantage is only visible on a delayed test. This metacognitive illusion means simply offering spacing options is insufficient — see Self-Regulated Learning. Designers should build spacing into scheduling defaults (spiraled homework, cumulative quizzes, revisit-and-review cycles) and explicitly teach learners why distributed study feels worse but works better. Curriculum pacing that front-loads instruction before a single assessment pushes learners toward cramming and works against spacing.

Open questions. Open questions for future enrichment include how spacing effects scale from laboratory verbal-learning tasks to authentic classroom content, whether benefits extend to complex skill acquisition and transfer rather than retention, and how to specify optimal gap-to-retention ratios for practical scheduling.

Learner Variables¶

• Long-Term Memory — outcome: instruction changes it

Related Claims¶

• Chunking reduces working memory load. — another encoding-side strategy that changes how material is packaged across study episodes
• Cognitive overload degrades learning. — spacing is one scheduling lever for managing load across sessions
• Autonomy supports intrinsic motivation. — spacing often requires overriding learner-preferred (massed) schedules
• Cognitive load theory — the theoretical framework within which practice scheduling and difficulty are managed
• Cognitive load management — spacing must be balanced against load during acquisition, since desirable difficulty is not the same as overload.
• Information processing theory — the theoretical frame in which encoding conditions and forgetting over time explain the spacing effect.
• Chunking reduces working memory load. — spacing keeps each session's content within working-memory limits
• Cognitive overload degrades learning. — massed sessions risk overload that spacing avoids
• Retrieval practice improves retention. — spaced retrieval compounds the desirable difficulty of both strategies
• Fluency judgments mislead learners. — why learners prefer massing despite worse delayed retention
• Retrieval practice improves long-term retention. — testing pairs naturally with spacing; the combination amplifies retention
• Cognitive load reduction improves learning. — manageable load per session is a precondition for spacing to help
• Interleaving improves discrimination and learning. — a related scheduling manipulation that mixes rather than repeats content
• Learners Misjudge Spacing Benefits — related
• Short-term, non-longitudinal training programmes pose challenges for estimating long-term skill retention — related
• Spaced retrieval practice produces better final retention than massed retrieval even though spacing lowers initial retrieval success, and more absolute spacing enhances long-term retention — related
• Spaced Retrieval Improves Retention — related
• Spacing out retrieval practice produces better long-term retention than massing it — related
• Structured CAI with spaced practice and spaced review produced better recall and retention than unstructured CAI — a narrower finding that bears on this claim
• Desirable difficulty: harder-to-learn conditions yield enhanced long-term retention — related
• Distributed practice benefits L2 learning, and one review argues that spreading it over years can be worse than over months — a narrower finding that bears on this claim
• Spaced retrieval practice outperformed both massed retrieval practice and no-practice control on delayed financial knowledge, while massed and control did not differ — related
• After training, d.tech teachers adopted low-stakes practice tests and spaced, interleaved practice in their classrooms — a narrower finding that bears on this claim
• Spacing content over time and interweaving different content strengthens learning and retention — possibly the same claim (merge candidate)
• Spaced and interleaved homework practice improves learning and retention — a narrower finding that bears on this claim
• Struggling to encode, retrieve, and reorganize information produces deeper comprehension and retention, and AI-supplied ready-made solutions short-circuit these processes — a narrower finding that bears on this claim
• Expanding interstudy intervals led to better recall than fixed intervals, but conclusions are tentative — related
• Relearning-to-criterion designs confound distribution of practice with amount of second-session practice — related
• The spacing benefit holds even at very short retention intervals, contradicting the Peterson paradox — a narrower finding that bears on this claim
• Adaptive Learning Improves Outcomes — adaptive platforms operationalize spacing by scheduling reviews at expanding intervals
• Faster rate of learning may be negatively related to long-term retention (efficiency-effectiveness trade-off) — related
• Supplemental computer-based spaced repetition activities nearly triple long-term vocabulary retention in EFL students compared with conventional instruction alone — a narrower finding that bears on this claim
• Prompting strategies for activating deep learning alone are insufficient for preserving a long-term learning advantage — related
• The optimal interstudy interval increases as the retention interval increases — related
• Spaced retrieval practice (successive relearning) produced multi-year retention of foreign language vocabulary in adults, as reported by the review — a narrower finding that bears on this claim
• Cognitive load reduction improves learning. — spacing manages load across time rather than within a single episode
• Self-Regulated Learning — learners' spacing decisions are shaped by flawed metacognitive judgments
• Retrieval practice strengthens memory and produces stronger, more enduring learning — related
• ISI effects on recall are nonmonotonic and depend jointly on retention interval — related
• Total retrieval spacing improved one-week vocabulary recall while relative schedules were not distinguished — related
• When exemplars are already interleaved, larger temporal spacing between same-category exemplars yields better inductive learning than smaller spacing — a narrower finding that bears on this claim
• With incidental orienting tasks that focus processing on individual words and give no incentive to form associations, distributed presentations produce better free recall than massed presentations — a narrower finding that bears on this claim
• Recent research identifies time intervals during which spaced study should occur to maximize memory retention — a narrower finding that bears on this claim
• Performance on final tests of learning is improved when multiple study sessions are spaced apart in time rather than massed in immediate succession — possibly the same claim (merge candidate)
• Preschool children do not exhibit a spacing effect in free recall, although they benefit from repetition — a narrower finding that bears on this claim
• Recall of words repeated across lists spaced up to 1 week follows a proportionality rule: recall is better after short spacing at short retention intervals but better after long spacing at long retention intervals — a narrower finding that bears on this claim
• A rehearsal-based deficient-processing account cannot explain the developmental emergence of the spacing effect — a narrower finding that bears on this claim
• Retrieval practice enhances learning across domains and the lifespan in applied educational settings — related
• Eight-day review improved a five-week science test versus one-day review in a simulated university classroom — related
• Chen et al. (2018): spaced practice superiority was associated with increased availability of working memory resources — a narrower finding that bears on this claim
• Spaced practice produces a robust small-to-medium retention advantage over massed practice for mathematics learning overall (g = 0.26). — related
• Distributed practice outperforms massed practice for long-term learning, with a possible foreign-language exception — a broader claim this one bears on
• Strategies that reduce fluency and increase perceived difficulty (e.g., self-testing, spaced practice) often yield superior long-term learning, contrary to student beliefs — related
• Spaced practice research addresses the potential for optimal gaps or delays between presentations of the same concept — a narrower finding that bears on this claim
• For short maze problems, massed learning effort is more economical than distributed effort in trials, time and errors, for both rats and human adults — related
• Material learned with the expectation of delayed reproduction is retained better than material learned for near-term reproduction — related