Journal article 281 views 92 downloads
Innovative and interactive statistics teaching using Quarto
Teaching Statistics
Swansea University Author: Kristian Evans
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© 2025 The Author(s). Teaching Statistics published by John Wiley & Sons Ltd on behalf of Teaching Statistics Trust. This is an open access article under the terms of the Creative Commons Attribution License (CC BY).
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DOI (Published version): 10.1111/test.12409
Abstract
Quarto is an open-source system that is useful for creating scientific teaching resources, particularly statistical resources, in various formats. Quarto is the next-generation version of R Markdown, and it can produce content using a variety of programming languages, including R, Python, Julia, and...
| Published in: | Teaching Statistics |
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| ISSN: | 0141-982X 1467-9639 |
| Published: |
Wiley
2025
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69577 |
| Abstract: |
Quarto is an open-source system that is useful for creating scientific teaching resources, particularly statistical resources, in various formats. Quarto is the next-generation version of R Markdown, and it can produce content using a variety of programming languages, including R, Python, Julia, and Observable JS. The main purpose of this article is to showcase the benefits of using Quarto, to provide a quick-start guide for the system, and to present and evaluate feedback from students using Quarto-produced resources. An overview of Quarto and its capabilities will be provided, followed by examples of resources created by the system. Particular focus will be made on its advantages over more traditional approaches, which include executing common coding languages and interactivity. This article is based on the author's experiences of using Quarto to create resources for teaching Statistics to post-graduate Data Science students and to second-year undergraduate Mathematics students. |
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| Keywords: |
interactive teaching, observable JS, python, quarto, R, teaching statistics |
| College: |
Faculty of Science and Engineering |
| Funders: |
Swansea University |

