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Innovative and interactive statistics teaching using Quarto.

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Title: Innovative and interactive statistics teaching using Quarto.
Authors: Evans, Kristian1 (AUTHOR) k.evans@swansea.ac.uk
Source: Teaching Statistics. 2026 Supplement 1, Vol. 48, pS36-S46. 11p.
Subject Terms: *Educational technology, *Science education, *Experiential learning, *Educational resources, Open source software, Programming languages, Data science
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. [ABSTRACT FROM AUTHOR]
Copyright of Teaching Statistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Teaching Statistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 2026 Supplement 1
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