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Innovative and interactive statistics teaching using Quarto

Kristian Evans

Teaching Statistics

Swansea University Author: Kristian Evans

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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...

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Published in: Teaching Statistics
ISSN: 0141-982X 1467-9639
Published: Wiley 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa69577
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spelling 2025-11-10T12:16:06.0236070 v2 69577 2025-05-28 Innovative and interactive statistics teaching using Quarto 1c65edfdcd4ef282f3953f359c5e7209 Kristian Evans Kristian Evans true false 2025-05-28 MACS 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. Journal Article Teaching Statistics 0 Wiley 0141-982X 1467-9639 interactive teaching, observable JS, python, quarto, R, teaching statistics 13 7 2025 2025-07-13 10.1111/test.12409 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2025-11-10T12:16:06.0236070 2025-05-28T14:52:23.6266387 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Kristian Evans 1 69577__34757__4c7e0092dd084f71a03840f0263bdf3f.pdf 69577.VOR.pdf 2025-07-14T12:33:33.7139850 Output 1791805 application/pdf Version of Record true © 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). true eng http://creativecommons.org/licenses/by/4.0/
title Innovative and interactive statistics teaching using Quarto
spellingShingle Innovative and interactive statistics teaching using Quarto
Kristian Evans
title_short Innovative and interactive statistics teaching using Quarto
title_full Innovative and interactive statistics teaching using Quarto
title_fullStr Innovative and interactive statistics teaching using Quarto
title_full_unstemmed Innovative and interactive statistics teaching using Quarto
title_sort Innovative and interactive statistics teaching using Quarto
author_id_str_mv 1c65edfdcd4ef282f3953f359c5e7209
author_id_fullname_str_mv 1c65edfdcd4ef282f3953f359c5e7209_***_Kristian Evans
author Kristian Evans
author2 Kristian Evans
format Journal article
container_title Teaching Statistics
container_volume 0
publishDate 2025
institution Swansea University
issn 0141-982X
1467-9639
doi_str_mv 10.1111/test.12409
publisher Wiley
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
document_store_str 1
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description 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.
published_date 2025-07-13T05:24:19Z
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score 11.090009

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