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Developing the role of big data and analytics in health professional education

机译：发挥大数据和分析在卫生专业教育中的作用

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As we capture more and more data about learners, their learning, and the organization of their learning, our ability to identify emerging patterns and to extract meaning grows exponentially. The insights gained from the analyses of these large amounts of data are only helpful to the extent that they can be the basis for positive action such as knowledge discovery, improved capacity for prediction, and anomaly detection. Big Data involves the aggregation and melding of large and heterogeneous datasets while education analytics involves looking for patterns in educational practice or performance in single or aggregate datasets. Although it seems likely that the use of education analytics and Big Data techniques will have a transformative impact on health professional education, there is much yet to be done before they can become part of mainstream health professional education practice. If health professional education is to be accountable for its programs run and are developed, then health professional educators will need to be ready to deal with the complex and compelling dynamics of analytics and Big Data. This article provides an overview of these emerging techniques in the context of health professional education.
机译：随着我们获取有关学习者，他们的学习以及他们学习的组织的越来越多的数据，我们识别新兴模式并提取含义的能力呈指数增长。从这些大量数据的分析中获得的见解仅在一定程度上可以作为积极行动（例如知识发现，提高的预测能力和异常检测）的基础，才有帮助。大数据涉及大型和异构数据集的聚合和融合，而教育分析涉及寻找教育实践中的模式或单个或聚合数据集中的绩效。尽管教育分析和大数据技术的使用似乎将对卫生专业教育产生变革性的影响，但要成为主流卫生专业教育实践的一部分，还有许多工作要做。如果要对卫生专业教育对其计划的运行和开发负责，那么卫生专业教育者将需要准备好应对分析和大数据的复杂而引人注目的动态。本文提供了在卫生专业教育背景下这些新兴技术的概述。

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