Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-30930
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dc.contributor.authorFuchs, Johannes-
dc.contributor.authorJäckl, Bastian-
dc.contributor.authorJüttler, Michael-
dc.contributor.authorKeim, Daniel A.-
dc.contributor.authorSevastjanova, Rita-
dc.date.accessioned2024-06-28T09:18:30Z-
dc.date.available2024-06-28T09:18:30Z-
dc.date.issued2024-04-24-
dc.identifier.issn1941-0506de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/30930-
dc.description.abstractTreemaps are a powerful tool for representing hierarchical data in a space-efficient manner and are used in various domains, including network security or software development. However, interpreting the topology encoded by nested rectangles can be challenging, particularly compared to tree-structured representations like node-link diagrams or icicle plots. To address this challenge, we introduce TreEducation , a visual education platform designed to improve the visualization literacy skills required for reading treemaps among non-expert users. TreEducation is an online application that combines visualizations, interactions, and gamification elements to facilitate understanding of eight different treemap layout algorithms and enhance students' learning process. We evaluated TreEducation in a classroom setting and a controlled environment. Our results indicate a significant knowledge gain of students training exclusively with TreEducation and the usefulness of competition as a social gamification element included in our competitive quiz.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Transactions on Visualization and Computer Graphicsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectTreemapde_CH
dc.subjectEducationde_CH
dc.subjectGamificationde_CH
dc.subjectVerbalizationde_CH
dc.subjectTeachingde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc378: Hochschulbildungde_CH
dc.titleTreEducation : a visual education platform for teaching treemap layout algorithmsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitZentrum für Innovative Didaktik (ZID)de_CH
dc.identifier.doi10.1109/TVCG.2024.3393012de_CH
dc.identifier.doi10.21256/zhaw-30930-
dc.identifier.pmid38656864de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Management and Law

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Fuchs, J., Jäckl, B., Jüttler, M., Keim, D. A., & Sevastjanova, R. (2024). TreEducation : a visual education platform for teaching treemap layout algorithms. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2024.3393012
Fuchs, J. et al. (2024) ‘TreEducation : a visual education platform for teaching treemap layout algorithms’, IEEE Transactions on Visualization and Computer Graphics [Preprint]. Available at: https://doi.org/10.1109/TVCG.2024.3393012.
J. Fuchs, B. Jäckl, M. Jüttler, D. A. Keim, and R. Sevastjanova, “TreEducation : a visual education platform for teaching treemap layout algorithms,” IEEE Transactions on Visualization and Computer Graphics, Apr. 2024, doi: 10.1109/TVCG.2024.3393012.
FUCHS, Johannes, Bastian JÄCKL, Michael JÜTTLER, Daniel A. KEIM und Rita SEVASTJANOVA, 2024. TreEducation : a visual education platform for teaching treemap layout algorithms. IEEE Transactions on Visualization and Computer Graphics. 24 April 2024. DOI 10.1109/TVCG.2024.3393012
Fuchs, Johannes, Bastian Jäckl, Michael Jüttler, Daniel A. Keim, and Rita Sevastjanova. 2024. “TreEducation : A Visual Education Platform for Teaching Treemap Layout Algorithms.” IEEE Transactions on Visualization and Computer Graphics, April. https://doi.org/10.1109/TVCG.2024.3393012.
Fuchs, Johannes, et al. “TreEducation : A Visual Education Platform for Teaching Treemap Layout Algorithms.” IEEE Transactions on Visualization and Computer Graphics, Apr. 2024, https://doi.org/10.1109/TVCG.2024.3393012.


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