School of Health Sciences, University of Manchester, Manchester, United Kingdom.
PLoS Comput Biol. 2020 Nov 5;16(11):e1008326. doi: 10.1371/journal.pcbi.1008326. eCollection 2020 Nov.
Interactive digital notebooks provide an opportunity for researchers and educators to carry out data analysis and report the results in a single digital format. Further to just being digital, the format allows for rich content to be created in order to interact with the code and data contained in such a notebook to form an educational narrative. This primer introduces some of the fundamental aspects involved in using Jupyter notebooks in an educational setting for teaching in the bio/health informatics disciplines. We also provide 2 case studies that detail how we used Jupyter notebooks to teach non-coders programming skills on a blended Master's degree module for a Health Informatics programme and a fully online distance learning unit on Programming for a postgraduate certificate (PG Cert) in Clinical Bioinformatics with a more technical audience.
交互式数字笔记本为研究人员和教育工作者提供了一个机会,可以在单一的数字格式中进行数据分析并报告结果。除了数字化之外,这种格式还允许创建丰富的内容,以便与笔记本中包含的代码和数据进行交互,从而形成一个教育性的叙述。本入门指南介绍了在生物/健康信息学学科的教学中,在教育环境中使用 Jupyter 笔记本的一些基本方面。我们还提供了 2 个案例研究,详细介绍了我们如何使用 Jupyter 笔记本在混合式硕士学位模块中为健康信息学课程的非编码人员教授编程技能,以及在针对具有更技术性受众的临床生物信息学研究生证书(PGCert)的完全在线远程学习单元中使用 Jupyter 笔记本教授编程技能。