Mapping the Landscape of Data Visualizations in Schools and Educational Resources

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dc.contributor.authorBoucher, Magdalenaen_US
dc.contributor.authorStoiber, Christinaen_US
dc.contributor.authorKejstova, Magdalenaen_US
dc.contributor.authorKandlhofer, Martinen_US
dc.contributor.authorErtl, Alenaen_US
dc.contributor.authorKriglstein, Simoneen_US
dc.contributor.authorAigner, Wolfgangen_US
dc.contributor.editorFirat, Elif E.en_US
dc.contributor.editorLaramee, Robert S.en_US
dc.contributor.editorAndersen, Nicklas Sindelven_US
dc.date.accessioned2024-05-21T08:56:32Z
dc.date.available2024-05-21T08:56:32Z
dc.date.issued2024
dc.description.abstractThis study explores the use of data visualizations in school education, examining how they are integrated into teaching practices and materials. By conducting semi-structured interviews with 15 teachers across Austria and Slovakia, coupled with a thorough classification of 5,655 data visualizations in 54 Austrian school textbooks, we gained insights into the landscape of visualization types used in educational settings. Despite the discovery of a wide array of visualization types, our analysis reveals a predominant reliance on simple business charts, highlighting a gap in the variety of methods and resources available for effectively teaching a wider range of visualizations. From our research, we derive lessons learned that pave the way for future development of educational methods and materials to enhance visualization literacy in schools.en_US
dc.description.sectionheadersEducation Papers
dc.description.seriesinformationEuroVis 2024 - Education Papers
dc.identifier.doi10.2312/eved.20241052
dc.identifier.isbn978-3-03868-257-8
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/eved.20241052
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/eved20241052
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Collision detection; Hardware → Sensors and actuators; PCB design and layout
dc.subjectComputing methodologies → Collision detection
dc.subjectHardware → Sensors and actuators
dc.subjectPCB design and layout
dc.titleMapping the Landscape of Data Visualizations in Schools and Educational Resourcesen_US
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