key: cord-0070315-s833wif7
authors: Kassam, Misbah; Shah, Aakriti Chetan
title: Response to “Resident-as-teacher to provide multidisciplinary online medical education on Instagram”
date: 2021-11-01
journal: Can Med Educ J
DOI: 10.36834/cmej.73530
sha: 72a74f10ea909ce01cfe3bb75714ee59e002e2cf
doc_id: 70315
cord_uid: s833wif7

nan

We applaud Liu and Sharma in addressing the need for continued clinical teaching during the COVID-19 pandemic through Instagram. 1 We believe additional features could optimize the use of this social media platform as an educational tool.

Whilst the Medskl.com account proved successful, 1 it is important to acknowledge the risk of Instagram providing a passive learning experience with information embedded in a single image. This limitation can be overcome by utilizing Instagram's swipe function to create flashcards, where posts consist of questions and answers with corresponding explanations separated into two images. Students can, therefore, engage with the posed question before revealing the answer. This participation is consistent with efficient learning where active recall produces effective gains in memory. 2 Likewise, residents can use the story function to create quizzes that offer instant feedback and polls to gauge interest and tailor content to areas of struggle.

According to the cognitive theory of multimedia learning, students can process only a few elements of a learning tool at once. 3 In order to take advantage of this, mnemonics could be incorporated in posts. Bakhos and Abou Khaled found that amongst 180 medical students, 44% found mnemonics to be the most practical learning strategy offered on Instagram. 4 Mnemonics can improve information recall by creatively synthesizing salient features, an example of this includes WWW (Wet, Wobbly, Wacky) to recognize the features of normal pressure hydrocephalus.

Conclusively, Instagram is a useful platform in medical education and its features can be optimized so as to foster students' learning experiences.

No conflicts of interest exist due to financial and personal relationships that could potentially bias our work. Funding: There are no sources of funding to report. Authorship: Misbah Kassam and Aakriti Chetan Shah contributed equally to this work.

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