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医学教育中的适应性学习:技术增强学习的最后一块拼图?

Adaptive Learning in Medical Education: The Final Piece of Technology Enhanced Learning?

作者信息

Sharma Neel, Doherty Iain, Dong Chaoyan

机构信息

National University Hospital, Singapore, Faculty Scholar Member Harvard Macy Institute, Boston, USA.

Learning and Teaching Innovation, Navitas Professional and English Programs at Navitas, Sydney, Australia.

出版信息

Ulster Med J. 2017 Sep;86(3):198-200. Epub 2017 Sep 12.

Abstract

Technology enhanced learning (TEL) is now common practice in the field of medical education. One of the primary examples of its use is that of high fidelity simulation and computerised mannequins. Further examples include online learning modules, electronic portfolios, virtual patient interactions, massive open online courses and the flipped classroom movement. The rise of TEL has occurred primarily due to the ease of internet access enabling the retrieval and sharing of information in an instant. Furthermore, the compact nature of internet ready devices such as smartphones and laptops has meant that access to information can occur anytime and anywhere. From an educational perspective however, the current utilisation of TEL has been hindered by its lack of understanding of learners' needs. This is concerning, particularly as evidence highlights that during medical training, each individual learner has their own learning requirements and often achieves competency at different rates. In view of this, there has been interest in ensuring TEL is more learner aware and that the learning process should be more personalised. Adaptive learning can aim to achieve this by ensuring content is delivered according to the needs of the learner. This commentary highlights the move towards adaptive learning and the benefits of such an intervention.

摘要

技术增强学习(TEL)如今在医学教育领域已成为常见做法。其应用的主要例子之一是高保真模拟和计算机化人体模型。其他例子还包括在线学习模块、电子档案袋、虚拟患者互动、大规模开放在线课程以及翻转课堂运动。TEL的兴起主要是因为互联网接入便捷,能即时检索和共享信息。此外,智能手机和笔记本电脑等支持互联网的设备体积小巧,这意味着信息可以随时随地获取。然而,从教育角度来看,目前TEL的应用因对学习者需求缺乏了解而受到阻碍。这令人担忧,尤其是有证据表明在医学培训期间,每个学习者都有自己的学习要求,而且往往以不同的速度达到能力标准。鉴于此,人们开始关注确保TEL更了解学习者,并且学习过程应更加个性化。自适应学习旨在通过根据学习者的需求提供内容来实现这一点。本评论强调了向自适应学习的转变以及这种干预的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b466/5849979/2345259827c2/umj-86-03-198-g001.jpg

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