Version 1
: Received: 26 July 2023 / Approved: 27 July 2023 / Online: 28 July 2023 (09:22:22 CEST)
How to cite:
Goldman, M.; Bryan, J.; Lucke-Wold, B. Evidence-Based Algorithm “Anki” for Optimization of Medical Education: The Evolution of Knowledge Retention. Preprints2023, 2023071955. https://doi.org/10.20944/preprints202307.1955.v1
Goldman, M.; Bryan, J.; Lucke-Wold, B. Evidence-Based Algorithm “Anki” for Optimization of Medical Education: The Evolution of Knowledge Retention. Preprints 2023, 2023071955. https://doi.org/10.20944/preprints202307.1955.v1
Goldman, M.; Bryan, J.; Lucke-Wold, B. Evidence-Based Algorithm “Anki” for Optimization of Medical Education: The Evolution of Knowledge Retention. Preprints2023, 2023071955. https://doi.org/10.20944/preprints202307.1955.v1
APA Style
Goldman, M., Bryan, J., & Lucke-Wold, B. (2023). Evidence-Based Algorithm “Anki” for Optimization of Medical Education: The Evolution of Knowledge Retention. Preprints. https://doi.org/10.20944/preprints202307.1955.v1
Chicago/Turabian Style
Goldman, M., Jaimie Bryan and Brandon Lucke-Wold. 2023 "Evidence-Based Algorithm “Anki” for Optimization of Medical Education: The Evolution of Knowledge Retention" Preprints. https://doi.org/10.20944/preprints202307.1955.v1
Abstract
The aim of this review was to summarize the available literature regarding resident and medical student education utilizing the spaced repetition program Anki. This review enables current residents and medical students to recognize and utilize evidence-proven study techniques to increase learning efficacy. A systemic review of papers across all medical journals available on Pubmed was conducted to identify studies published without time constraints. The search was for (Anki) and (spaced repetition residency). Available outcome data was collected and discussed independently for students and residents. Many studies showed a statistically significant increase in exam performance associated with Anki use and high levels of satisfaction among residents and medical students. Further research is warranted to provide high-quality evidence of Anki’s applications and there is a need for exploration in additional residency specialties. Anki use has steadily increased with both medical students and residents. The application demonstrated consistent improvement on exam-based performance and was regarded highly by users. As burnout and time constrictions threaten educational workflow, Anki may serve as a powerful tool to improve the quality of learning. Further data needs to be collected and analyzed in specialties where Anki use may already exist.
Keywords
medical education; gamified learning; knowledge retention; algorithm
Subject
Medicine and Pharmacology, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
