Innovative and Interactive Statistics Teaching Using Quarto
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| Title: | Innovative and Interactive Statistics Teaching Using Quarto |
|---|---|
| Language: | English |
| Authors: | Kristian Evans (ORCID |
| 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 |
| 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. |
|---|---|
| ISSN: | 0141-982X 1467-9639 |
| DOI: | 10.1111/test.12409 |
