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Learning, Media and Technology Volume 49, 2024 - Issue 2
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Taking play and tinkering seriously in AI education: cases from Drag vs AI teen workshops

Janet Rupperta Department of Information Science, University of Colorado, Boulder, CO, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1216-3515View further author information
ORCID Icon,
Diego Velazquez-Ramosa Department of Information Science, University of Colorado, Boulder, CO, USAView further author information
,
Ricarose Roquea Department of Information Science, University of Colorado, Boulder, CO, USAORCID Iconhttps://orcid.org/0000-0003-3100-2466View further author information
ORCID Icon &
R. Benjamin Shapirob Department of Computer Science, University of Colorado, Boulder, CO, USAORCID Iconhttps://orcid.org/0000-0002-1359-7120View further author information
ORCID Icon
Pages 259-273 | Received 20 Aug 2022, Accepted 22 Dec 2022, Published online: 05 Jan 2023

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Shiyan Jiang, Hengtao Tang, Cansu Tatar, Carolyn P. Rosé & Jie Chao. (2023) High school students’ data modeling practices and processes: from modeling unstructured data to evaluating automated decisions. Learning, Media and Technology 48:2, pages 350-368.
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Articles from other publishers (1)

Shiyan Jiang, Jeanne McClure, Cansu Tatar, Franziska Bickel, Carolyn P. Rosé & Jie Chao. (2024) Towards inclusivity in AI: A comparative study of cognitive engagement between marginalized female students and peers. British Journal of Educational Technology.
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