Langan, D;
Wade, A;
(2018)
Code Sharing in Statistics Workshops.
In: Sorto, MA and White, A and Guyot, L, (eds.)
Looking back, looking forward: Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10).
(pp. 9C1:1-9C1:5).
International Statistical Institute: Voorburg, The Netherlands.
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Abstract
In statistical programming workshops, communication has a different dynamic to other classroombased statistics courses. Many of the traditional methods of communication (e.g. verbal, via a projector or printed notes) are insufficient for communication of the programming language. For example, learners may need to describe their exercise solution or a programming error to the class. To address this problem, the Centre for Applied Statistics Courses (CASC) at University College London (UCL) developed a platform for code sharing in workshops for R and Stata programming. On this platform, learners are provided with a live version of the teachers’ code and learners can submit sections of their own code for group discussion. We present anonymous feedback and web analytics to show how the platform is used in practice.
| Type: | Proceedings paper |
|---|---|
| Title: | Code Sharing in Statistics Workshops |
| Event: | Tenth International Conference on Teaching Statistics (ICOTS10), 8-13 July 2018, Kyoto, Japan |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://iase-web.org/Conference_Proceedings.php?p=I... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10054490 |
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