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Innovative and Interactive Statistics Teaching Using Quarto

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Bibliographic Details
Title: Innovative and Interactive Statistics Teaching Using Quarto
Language: English
Authors: Kristian Evans (ORCID 0009-0008-7043-1961)
Source: Teaching Statistics: An International Journal for Teachers. 2026 48(1):S36-S46.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 11
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Statistics Education, Teaching Methods, Open Source Technology, Programming Languages, Coding, Data Science, Higher Education, Graduate Students, Undergraduate Students
DOI: 10.1111/test.12409
ISSN: 0141-982X
1467-9639
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.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1505737
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22Kristian+Evans%22">Kristian Evans</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0008-7043-1961">0009-0008-7043-1961</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Teaching+Statistics%3A+An+International+Journal+for+Teachers%22"><i>Teaching Statistics: An International Journal for Teachers</i></searchLink>. 2026 48(1):S36-S46.
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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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.
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