Cited by 53Radiology practices and educationInnovations in Medical EducationClinical Reasoning and Diagnostic Skills

Effect of Massed Versus Interleaved Teaching Method on Performance of Students in Radiology

Rozenshtein, Anna, Pearson, Gregory D.N., Yan, Sherry X., Liu, Andrew Z., Toy, Dennis·2016·Journal of the American College of Radiology

Abstract

Purpose Radiology instruction is based on the principle that grouped (or massed) repetition of an intellectual activity leads to expertise. The aim of this study was to test the hypothesis that the spaced (or interleaved) method of teaching chest x-ray interpretation is more effective than the massed method.Methods After institutional review board approval was obtained, 40 first- and second-year medical students were randomized into two groups matched by age, gender, and education experience. Both groups saw six examples of 12 common chest radiographic patterns, one grouped, the other scrambled randomly without repeating strings. After a distraction, participants took a multiple-choice test consisting of two cases in each radiographic pattern, one previously shown, one new. Results were analyzed using two-tailed Student's t test of proportion.Results Comparing interleaved and massed groups, the average overall score was 57% versus 43% (P = .03), the recollection score was 61% versus 47% (P = .03), and the induction score was 53% versus 40% (P = 0.10), respectively. Comparing second- and first-year students, average scores were 67% and 39%, respectively (P < .01). First-year students in the interleaved and massed groups scored 55% and 36% (P = .02) in recall and 40% and 28% (P = .10) in induction. Second-year students in the interleaved and massed groups scored 71% and 63% (P = .36) in recall and 74% and 59% (P = .03) in induction.Conclusions The interleaved method of instruction leads to better results than the massed method across all levels of education. A higher level of medical education improves performance independent of method of instruction.

Integrity signals

Registry

Crossref · 10.1016/j.jacr.2016.03.031

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Rozenshtein, A., Pearson, G. D. N., Yan, S. X., Liu, A. Z., & Toy, D.
Affiliations
  • Columbia University Irving Medical Center (US)
  • Columbia University (US)
  • Yale University (US)
Corresponding author
Yan, Sherry X.
Venue
Journal of the American College of Radiology
Publisher
Elsevier BV
Published
2016-08
Volume
13
Issue
8
Pages
979-984
ISSN
1546-1440 (ISSN-L)
OpenAlex
W2405975714
Cited by
53
References
19
Citations by year
2026: 2 · 2025: 4 · 2024: 19 · 2023: 7 · 2022: 6 · 2021: 5 · 2020: 4 · 2019: 4 · 2018: 2
FWCI
1.72
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the American College of Radiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
Keywords
interleaving, massed practice, spaced repetition, chest X-ray interpretation, radiology education, medical students, memory retrieval, induction
MeSH terms
Adult, Educational Measurement, Female, Humans, Male, New York, Pattern Recognition, Visual, Radiology, Mental Recall, Students, Medical, Task Performance and Analysis, Teaching, Radiography, Thoracic, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review