Adaptive medical education research
Abstract
This commentary reflects on what the four research articles in this issue of Medical Teacher tell us about adaptive learning and how adaptive medical education research can be conducted. Adaptive medical education researchers must think disruptively and embrace nontraditional collaborations, research methods, and means of dissemination in pursuit of evidence that enhances adaptive learning.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Empirical evidence regarding AI effectiveness in structured medical knowledge learning remains insufficient.
“Although AI technologies are increasingly introduced into higher education, empirical evidence regarding their effectiveness in structured medical knowledge learning remains insufficient [16, 17].”
Cited by
Sorted by citations
Zhao, C., Zhu, J., Liu, J., Zhao, W., & Pang, Y. (2026) · BMC Medical Education · doi:10.1186/s12909-026-09469-0 · Cited by 1 · see citing works
“Although AI technologies are increasingly introduced into higher education, empirical evidence regarding their effectiveness in structured medical knowledge learning remains insufficient [16, 17].”
- Authors
- Tackett, S., Wright, S. M., & Quirk, M.
- Affiliations
- Johns Hopkins University (US)
- American University of the Caribbean School of Medicine (SX)
- Corresponding author
- Tackett, Sean
- Venue
- Medical Teacher
- Publisher
- Informa UK Limited
- Published
- 2018-07-13
- Volume
- 40
- Issue
- 8
- Pages
- 783-785
- ISSN
- 0142-159X (ISSN-L)
- 1466-187X
- OpenAlex
- W2884639983
- Cited by
- 5
- References
- 0
- Citations by year
- 2026: 1 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 1
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Teacher (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Research Impacts
- Keywords
- adaptive learning, medical education research, disruptive thinking, research dissemination, evidence-based medical education
- MeSH terms
- Cognition, Computer Simulation, Cooperative Behavior, Education, Medical, Humans, Learning, Organizational Innovation, Research Design, Students, Medical, Randomized Controlled Trials as Topic, Biomedical Research
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.
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