Toth Emma, Araich Harman, Patel Sahil, Murugesan Arun, Bhargava Puneet, Faraji Navid
School of Medicine, Case Western Reserve University, Cleveland, OH.
School of Medicine, Case Western Reserve University, Cleveland, OH.
Curr Probl Diagn Radiol. 2023 Nov-Dec;52(6):453-455. doi: 10.1067/j.cpradiol.2023.08.001. Epub 2023 Aug 16.
From online textbooks to educational social media posts, digital learning tools are transforming medical education. Spaced repetition programs are a popular tool, with 70% of first-year medical students reporting using the free, open-source flashcard application Anki. The Anki program pairs active recall and spaced repetition learning principles with a simple but versatile user interface. Spaced repetition flashcard programs such as Anki are uniquely suited to radiology education because they strengthen image-based recall, a necessary skill for radiology trainees to develop. In this review, we will describe the science behind active recall and spaced repetition programs, introduce the Anki platform, and describe future directions for its potential as an educational resource for radiology.
从在线教科书到教育社交媒体帖子，数字学习工具正在改变医学教育。间隔重复程序是一种流行的工具，70%的医学一年级学生报告使用免费的开源抽认卡应用程序Anki。Anki程序将主动回忆和间隔重复学习原则与一个简单但通用的用户界面相结合。像Anki这样的间隔重复抽认卡程序特别适合放射学教育，因为它们强化基于图像的回忆，这是放射学实习生需要培养的一项必要技能。在这篇综述中，我们将描述主动回忆和间隔重复程序背后的科学原理，介绍Anki平台，并描述其作为放射学教育资源的潜在未来发展方向。
