Is spaced repetition better than rereading for long-term learning?

Numbers match the citations in the article. A working link isn't proof that a page supports a claim; check the quoted passage and date.

1. 1

   Distributed practice in verbal recall tasks: A review and quantitative synthesis

   Psychological Bulletin (Cepeda et al.)Published May 1, 2006Checked Sep 30, 2026

   “This review found 839 assessments of distributed practice in 317 experiments located in 184 articles.”

2. 2

   Using spaced repetition to teach histopathology significantly improves diagnostic skills: A randomized within-participant evaluation.

   Anatomical sciences education (Barhdaoui et al.)Published May 14, 2026Checked Sep 30, 2026

   “Three months after inclusion, their diagnostic performance was evaluated online using 20 previously unseen cases. The study included 337 participants in 2023. The evaluation and the feedback questionnaire were completed by 23% (79/337), with 58% (46/79) using the SR material. Learning via SR improved diagnostic performance both in accuracy and speed within participants: each participant scored significantly higher on diagnoses they had reviewed using SR compared to those they had not (mean score: 7.3/10 vs. 5.4/10; paired mean difference +1.9 points, p < 0.001, n = 42), and completed these same cases in significantly less time (paired median difference -1.4 min, p = 0.018). Participants were highly satisfied with this learning technique, with 90% expressing intent to reuse it. The findings suggest that SR can be used to improve diagnostic accuracy and speed of pathologists. SR has a strong effect on acquisition of diagnostic skills in histopathology and its use should be promoted in initial training and continuing medical education.”

3. 3

   Spacing effect improves generalization in biological and artificial systems.

   Patterns (New York, N.Y.) (Sun et al.)Published May 19, 2026Checked Sep 30, 2026

   “In biological learning and memory, the well-documented spacing effect shows that appropriately spaced intervals between learning trials significantly improve behavioral performance. While multiple theories have been proposed to explain its underlying mechanisms, one compelling hypothesis is that spaced training promotes integration of input and innate variations, thereby enhancing generalization to novel but related scenarios. Here, we examine this hypothesis by introducing a bio-inspired spacing effect into artificial neural networks, integrating input and innate variations across spaced intervals at neuronal, synaptic, and network levels. These spaced ensemble strategies yield significant performance gains across benchmark datasets and network architectures. Biological experiments on Drosophila further validate the complementary effect of appropriate variations and spaced intervals in improving generalization, which together reveal a convergent computational principle of biological learning and machine learning.”

4. 4

   Spaced practice and reactive inhibition have limited or no effects on motor sequence learning.

   Scientific reports (Gupta & Rickard)Published May 23, 2026Checked Sep 30, 2026

   “A pronounced performance advantage was observed for the spaced groups by the end of training. However, on a later test in which the task conditions were equated, group performance was statistically indistinguishable. Hence, spaced practice yielded no or minimal learning advantage and the large reactive inhibition effect in the massed group appears to be a transient performance phenomenon without consequence for learning. Furthermore, we found no evidence for the most straightforward micro-consolidation account, which predicts greater learning with more breaks. Our results are consistent with a simple account advanced by Gupta and Rickard1,2, according to which learning occurs entirely online (i.e., concurrently with performance) and is independent of spacing and reactive inhibition. Finally, our findings indicate that proposed mechanisms for declarative spacing effects, such as memory reactivation and contextual variability, do not generalize to motor learning, highlighting fundamental differences between the two learning systems.”

5. 5

   Students Can (Mostly) Recognize Effective Learning, So Why Do They Not Do It?

   Journal of Intelligence (Rea et al.)Published Dec 16, 2022Checked Sep 30, 2026

   “In the present studies, we use a mixed-methods approach and challenge the rhetoric that students are entirely unaware of effective learning strategies. We show that whether being asked to describe strategies used by poor-, average-, and high-performing students (Study 1) or being asked to judge vignettes of students using different strategies (Study 2), participants are generally readily able to identify effective strategies: they were able to recognize the efficacy of explanation, pretesting, interpolated retrieval practice, and even some interleaving. Despite their knowledge of these effective strategies, they were still unlikely to report using these strategies themselves. In Studies 2 and 3, we also explore the reasons why students might not use the strategies that they know are effective. Our findings suggest that interventions to improve learners' strategy use might focus less on teaching them about what is effective and more on increasing self-efficacy, reducing the perceived costs, and establishing better habits.”

6. 6

   U-Behavior: a method to promote spaced and interleaved retrieval practice in challenging undergraduate microbiology and biomedical sciences courses.

   Access microbiology (Folkestad et al.)Published Aug 4, 2026Checked Oct 4, 2026

   “We developed U-Behavior, a learning management system-integrated pedagogy tool that coaches these behaviours through instruction, personalized visualizations of quiz attempt patterns [retrieval practice activity (RPA) graphs], reflections and behavioural feedback. In two experiments with identical RPAs in gateway (VMBS 100, introductory biomedical sciences) and upper division (MIP 300, general microbiology), we compared U-Behavior to low-stakes quizzing (control). U-Behavior significantly increased spacing and interleaving (large effects, ds >1.75) without raising total quiz attempts. Approximately half of U-Behavior students achieved optimal practice levels. No significant between-condition differences appeared in midterm/final exams, likely due to partial adoption. However, higher spacing scores predicted better exam performance (small-to-medium effects) beyond prior Grade Point Average (GPA) and attempt quantity. U-Behavior provides a scalable, behaviour-focused approach to enhance study quality in rigorous microbiology education.”

7. 7

   Spaced repetition (Wikipedia)

   WikipediaPublished Sep 30, 2026Checked Sep 30, 2026

   “Spaced repetition is an evidence-based learning technique that is usually performed with flashcards. Newly introduced and more difficult flashcards are shown more frequently, while older and less difficult flashcards are shown less frequently in order to exploit the psychological spacing effect. The use of spaced repetition has been proven to increase the rate of learning. Although the principle is useful in many contexts, spaced repetition is commonly applied in contexts in which a learner must acquire many items and retain them indefinitely in memory. It is, therefore, well suited for the problem of vocabulary acquisition in the course of second-language learning. A number of spaced repetition software programs have been developed to aid the learning process. It is also possible to perform spaced repetition with physical flashcards using the Leitner system. The testing effect and spaced repetition can be combined to improve long-term memory. Therefore, memorization can be easier to do.”