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The reCAPTCHA of medical education

机译:医学教育的召唤

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摘要

This article focuses on what Luis von Ahn called the “twofer,” that is, a single solution that elegantly addresses two problems on a large scale. We describe two of von Ahn’s creations: reCAPTCHA, which validates a human web presence while also digitizing hard-to-read words, and Duolingo, which teaches new languages while translating the web. We then consider how this approach can be applied to medical education. Embedding Wikipedia-editing into educational settings is one such solution that could both improve the quality of health information available to the public while enhancing the learning of future health professionals.
机译:本文侧重于Luis von Ahn称为“Twofer”的是什么,即一个解决方案,优雅地解决了大规模的两个问题。 我们描述了两个von ahn的创作:recaptcha,它验证了人类的网络存在,同时也要数字化难以阅读的单词和duolingo,在翻译Web时教导新语言。 我们考虑如何将这种方法应用于医学教育。 将维基百科的编辑嵌入教育环境中是一种这样的解决方案,可以提高公众可用的健康信息质量,同时增强未来的卫生专业人员的学习。

著录项

  • 来源
    《Medical teacher》 |2019年第5期|共3页
  • 作者单位

    Department of Medicine Johns Hopkins Bayview Medical Center;

    Johns Hopkins University School of Medicine and Osmosis;

    Department of Emergency Medicine University of British Columbia;

    Department of Psychiatry University of California School of Medicine;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;
  • 关键词

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