Abstract
I. INTRODUCTION Big data (BD) involves aggregating and melding large and heterogeneous datasets, allowing searches and cross-referencing, and deriving insights and meaning from them. It has tremendous potential for application in medical education (ME) where the massive amounts of data that are generated and collected about learners, their learning, and the organisation of their learning can be analysed and interpreted to provide meaning and insights into various aspects of ME. This article briefly introduces BD, potential areas of application, and highlights the pitfalls and challenges surrounding the use of BD in ME (BDME) from the authors’ perspectives.
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