{"id":25256,"date":"2023-08-11T10:28:38","date_gmt":"2023-08-11T08:28:38","guid":{"rendered":"https:\/\/www.prodabi.de\/?page_id=25256"},"modified":"2026-03-05T14:42:57","modified_gmt":"2026-03-05T13:42:57","slug":"publikationen","status":"publish","type":"page","link":"https:\/\/www.prodabi.de\/en\/forschung\/publikationen\/","title":{"rendered":"Publications"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"25256\" class=\"elementor elementor-25256\" data-elementor-post-type=\"page\">\n\t\t\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e55dcbe e-con-full e-flex e-con e-parent\" data-id=\"e55dcbe\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-71a9a6e e-flex e-con-boxed e-con e-child\" data-id=\"71a9a6e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1bfafa9 elementor-extension-display-condition-disabled elementor-widget elementor-widget-heading\" data-id=\"1bfafa9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2025<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-75ce00e elementor-extension-display-condition-disabled elementor-widget elementor-widget-text-editor\" data-id=\"75ce00e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul style=\"font-weight: 400;\"><li>Biehler, R., Engel, J., Frischemeier, D., &amp; Podworny, S. (2025). Civic Statistical Literacy: Konzept und praxisnahe Umsetzung am Beispiel des Klimawandels. mathematica didactica, 48.<\/li><li>Biehler, R., Kawakami, T., Lampen, E., Weiland, T., &amp; Zapata-Cardona, L. (2025). Statistics and data science education as a vehicle for empowering citizens \u2013 short summary of a survey. EMS Magazine.<a href=\"https:\/\/doi.org\/10.4171\/MAG\/257\">https:\/\/doi.org\/10.4171\/MAG\/257<\/a><\/li><li>Biehler, R., &amp; Schulte, C. (2025). Lessons Learned from the ProDaBi Project: Shaping Perspectives at the Intersection of Data, AI, and Education Titles. <em>Symposium on Integrating AI and Data Science into School Education across Disciplines<\/em>. <a href=\"https:\/\/openreview.net\/forum?id=TGsuaghKD3\">https:\/\/openreview.net\/forum?id=TGsuaghKD3<\/a><\/li><li>Biehler, R., &amp; Wilkerson, M., H. (2025). The new role of data in society: Challenges and opportunities for mathematics education in the age of data science and AI. In M. B. Casab\u00f2, S. Carreira, G. Bolondi, M. Gaidoschick, &amp; C. Spagnolo (Eds.), Proceedings of the Fourteenth Congress of the European Society for Research in Mathematics Education (CERME14) (pp. 59\u201396). Free University of Bozen-Bolzano; ERME<\/li><li>Binder, K., &amp; R\u00f6\u00dfner, M. (2025). Software-Supported and Simulation-Based Introduction to Significance Tests. <em>Symposium on Integrating AI and Data Science into School Education across Disciplines<\/em>. <a href=\"https:\/\/openreview.net\/forum?id=fJCRhPUH5b\">https:\/\/openreview.net\/forum?id=fJCRhPUH5b<\/a><\/li><li><div class=\"csl-bib-body\"><div class=\"csl-entry\">Fergusson, A.-M. G., Podworny, S., Fleischer, Y., H\u00fcsing, S., Puloka, M. S., Biehler, R., Pfannkuch, M., Budgett, S., &amp; Dalrymple, M. (2025). <i>Branching out data science education: Developing task and computational environment design principles for teaching data science at the high school level through an international research collaboration<\/i>. IASE 2025. <a href=\"https:\/\/doi.org\/10.52041\/iase25.138\">https:\/\/doi.org\/10.52041\/iase25.138<\/a>\u00a0<\/div><\/div><\/li><li>Fleischer, Y., &amp; Biehler, R. (2025). Analyzing Students\u2019 Informal Approaches to Creating Decision Trees in the Classroom. In C. Cornejo, P. Felmer, D. M. G\u00f3mez, P. Dartnell, P. Araya, A. Peri, &amp; V. Randolph (Eds.), Proceedings of the 48th Conference of the International Group for the Psychology of Mathematics Education: Research Reports, Vol. 1 (pp. 267\u2013274).<\/li><li>Fleischer, Y., &amp; Biehler, R. (2025). Exploring students\u2019 constructions of data-based decision trees after an introductory teaching unit on machine learning. ZDM \u2013 Mathematics Education, 57(1), 153\u2013173. <a href=\"https:\/\/doi.org\/10.1007\/s11858-025-01663-6\">https:\/\/doi.org\/10.1007\/s11858-025-01663-6<\/a><\/li><li>Frischemeier, D., &amp; Biehler, R. (2025). F\u00f6rderung von statistischem Denken im Mathematikunterricht der Primarstufe: Bedeutsame Ideen und F\u00f6rderungsm\u00f6glichkeiten. Stochastik in der Schule, 45(1), 22\u201333.<\/li><li>H\u00f6per, L. (2025). <em>Entwicklung und Evaluation des Konzepts Datenbewusstsein f\u00fcr informatische Bildung<\/em>[Universit\u00e4t Paderborn]. <a href=\"https:\/\/digital.ub.uni-paderborn.de\/doi\/10.17619\/UNIPB\/1-2420\">https:\/\/digital.ub.uni-paderborn.de\/doi\/10.17619\/UNIPB\/1-2420<\/a><\/li><li>H\u00f6per, L., &amp; Fleischer, Y. (2025). Empowering Students in a Data-Driven World: Explanatory Models for Understanding Data-Driven Technologies from Everyday Life. <em>Symposium on Integrating AI and Data Science into School Education across Disciplines<\/em>. <a href=\"https:\/\/openreview.net\/forum?id=uwenNz2YMI\">https:\/\/openreview.net\/forum?id=uwenNz2YMI<\/a><\/li><li>H\u00f6per, L., &amp; Schulte, C. (2025). ReVEAL model and its application to revealing viewpoints on educational approaches to learning about data and AI. <em>Computer Science Education<\/em>, 1\u201333. <a href=\"https:\/\/doi.org\/10.1080\/08993408.2025.2516957\">https:\/\/doi.org\/10.1080\/08993408.2025.2516957<\/a><\/li><li>H\u00fcsing, S., &amp; Podworny, S. (2025). Empowering Students to Gain Insights within Data Exploration Projects in the Classroom\u2014Using, Modifying, and Creating Data Moves through a Scaffolded Use of Digital Tools. <em>Symposium on Integrating AI and Data Science into School Education across Disciplines<\/em>.<a href=\"https:\/\/openreview.net\/forum?id=pJtX42JGnT\">https:\/\/openreview.net\/forum?id=pJtX42JGnT<\/a><\/li><li>Podworny, S., Biehler, R., &amp; Fleischer, Y. (2025). Young students\u2019 engagement with data to create decision trees. ZDM \u2013 Mathematics Education, 57(1), 175\u2013191. <a href=\"https:\/\/doi.org\/10.1007\/s11858-024-01649-w\">https:\/\/doi.org\/10.1007\/s11858-024-01649-w<\/a><\/li><li>Podworny, S., Fleischer, Y., &amp; Biehler, R. (2025). Explorative Datenanalyse in der Schule \u2013 Analyse der Mediennutzung von Jugendlichen mit den YOU\u2011PB Daten. Stochastik in der Schule, 45(2), 9\u201316.<\/li><li>Sch\u00f6nbrodt, S., &amp; Podworny, S. (2025). Shaping the Future of Education: AI and Data Science Literacy as a Civic Imperative in Education. <em>Symposium on Integrating AI and Data Science into School Education across Disciplines<\/em>. <a href=\"https:\/\/openreview.net\/forum?id=KVi7XcIx7N\">https:\/\/openreview.net\/forum?id=KVi7XcIx7N<\/a><\/li><li>Stoppel, H., &amp; H\u00fcsing, S. (2025). Konstruktionistisches Geometrielernen durch epistemisches Programmieren in Scratch. <em>Beitr\u00e4ge zum Mathematikunterricht; 58<\/em>. <a href=\"https:\/\/doi.org\/10.17877\/DE290R-25995\">https:\/\/doi.org\/10.17877\/DE290R-25995<\/a><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-bc1233c e-flex e-con-boxed e-con e-child\" data-id=\"bc1233c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3916c2c elementor-extension-display-condition-disabled elementor-widget elementor-widget-heading\" data-id=\"3916c2c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2024<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b55156c elementor-extension-display-condition-disabled elementor-widget elementor-widget-text-editor\" data-id=\"b55156c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li>Biehler, R., Fleischer, Y. (2024). Datenbasiertes Entscheiden. Vom Zufall zur optimalen Strategie: Best\u00e4rkendes maschinelles Lernen am Beispiel Bauernschach. Mathewelt \u2013 das Arbeitsheft, mathematik lehren 244. &nbsp;<\/li><li>Fleischer, Y., Podworny, S. &amp; Biehler, R. (2024). <a href=\"https:\/\/doi.org\/10.52041\/serj.v23i1.450\">Teaching and learning to construct data-based decision trees using data cards as the first introduction to machine learning in middle school.<\/a> <em>Statistics Education Research Journa 23<\/em>(1), Article 3. <a href=\"https:\/\/doi.org\/10.52041\/serj.v23i1.450\">https:\/\/doi.org\/10.52041\/serj.v23i1.450 <\/a><\/li>\n<li>Fleischer, Y., Podworny, S., Biehler, R. (2024). Datenbasiertes Entscheiden. Wie TikTok dein wahres Alter herausfinden kann. <em>Mathewelt &#8211; das Arbeitsheft, mathematik lehren<\/em> 244.<\/li>\n<li style=\"font-size: 16px;\">H\u00f6per, L. &amp; Schulte, C. (2024).&nbsp;<a style=\"transition-delay: 0s !important; outline-color: currentcolor !important; outline-style: none !important;\" href=\"https:\/\/doi.org\/10.15388\/infedu.2024.19\">Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies<\/a>.&nbsp;<em>Informatics in Education 23 (3)<\/em>, S. 593-624.&nbsp;<a style=\"transition-delay: 0s !important; outline-color: currentcolor !important; outline-style: none !important;\" href=\"https:\/\/doi.org\/10.15388\/infedu.2024.19\">https:\/\/doi.org\/10.15388\/infedu.2024.19<\/a><\/li>\n<li style=\"font-size: 16px;\">H\u00f6per, L. &amp; Schulte, C. (2024).&nbsp;<a style=\"transition-delay: 0s !important; outline-color: currentcolor !important; outline-style: none !important;\" href=\"https:\/\/doi.org\/10.1145\/3699538.3699558\">New Perspectives on the Future of Computing Education: Teaching and Learning Explanatory Models<\/a>.&nbsp;<i>In Koli Calling 2024: Proceedings of the 24th Koli Calling International Conference on Computing Education Research<\/i>.&nbsp;<a style=\"transition-delay: 0s !important; outline-color: currentcolor !important; outline-style: none !important;\" href=\"https:\/\/doi.org\/10.1145\/3699538.3699558\">https:\/\/doi.org\/10.1145\/3699538.3699558<\/a><\/li>\n<li><span style=\"text-align: var(--text-align);\">H\u00f6per, L., Schulte, C., &amp; Benzm\u00fcller, C. (2024). Verantwortung. In U. Furbach, E. Kitzelmann, T. Michaeli, &amp; U. Schmid (Hrsg.), K\u00fcnstliche Intelligenz f\u00fcr Lehrkr\u00e4fte (S. 219\u2013236). Springer Fachmedien Wiesbaden. https:\/\/doi.org\/10.1007\/978-3-658-44248-4_16&nbsp;<br><\/span><\/li>\n<li><span style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\">H\u00f6per, L., Schulte, C., &amp; M\u00fchling, A. (2024). <\/span><a style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\" href=\"https:\/\/doi.org\/10.1145\/3632620.3671118\">Learning an Explanatory Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing Education<\/a><span style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\">. In:&nbsp;<\/span><i style=\"text-align: var(--text-align); letter-spacing: 0px;\">Proceedings of the 2024 ACM Conference on International Computing Education Research &#8211; Volume 1 (ICER 2024)<\/i><span style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\">, 326\u2013342. <\/span><a style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\" href=\"https:\/\/doi.org\/10.1145\/3632620.3671118\">https:\/\/doi.org\/10.1145\/3632620.3671118<\/a><\/li>\n<li>H\u00f6per, L., Schulte, C., &amp; M\u00fchling, A. (2024). <a href=\"https:\/\/doi.org\/10.1145\/3649217.3653625\">Students\u2019 Motivation and Intention to Engage with Data-Driven Technologies from a CS Perspective in Everyday Life<\/a>. In <i>Proceedings of the 2024 Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2024)<\/i>. <a href=\"https:\/\/doi.org\/10.1145\/3649217.3653625\">https:\/\/doi.org\/10.1145\/3649217.3653625<\/a><\/li>\n<li><span style=\"color: #333333;\"><span style=\"font-style: inherit; letter-spacing: 0px; text-align: var(--text-align); caret-color: #000000; text-indent: -2em;\">H\u00fcsing, S., &amp; Sch\u00f6nbrodt, S. (2024). F\u00f6rderung von Epistemic Agency \u2013 Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen.<\/span><span style=\"font-style: inherit; letter-spacing: 0px; text-align: var(--text-align); caret-color: #000000; text-indent: -2em;\">&nbsp;<\/span><i style=\"letter-spacing: 0px; text-align: var(--text-align); caret-color: #000000; text-indent: -2em;\">Beitr\u00e4ge zum Mathematikunterricht 57<\/i><span style=\"font-style: inherit; letter-spacing: 0px; text-align: var(--text-align); caret-color: #000000; text-indent: -2em;\">.<\/span><\/span><span style=\"font-style: inherit; letter-spacing: 0px; text-align: var(--text-align); caret-color: #000000; color: #000000; text-indent: -2em;\">&nbsp;<\/span><a style=\"font-style: inherit; letter-spacing: 0px; text-align: var(--text-align); caret-color: #000000; text-indent: -2em;\" href=\"https:\/\/doi.org\/10.17877\/DE290R-25018\">https:\/\/doi.org\/10.17877\/DE290R-25018<\/a><span style=\"font-style: inherit; letter-spacing: 0px; text-align: var(--text-align);\">&nbsp;<\/span><\/li>\n<li>H\u00fcsing S., Schulte C., Sparmann S., Bolte M. (2024), <a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3626252.3630961\">Using Worked Examples for Engaging in Epistemic Programming Projects<\/a>. In <a style=\"font-size: 16px;\" title=\"SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1\" href=\"https:\/\/dl.acm.org\/doi\/proceedings\/10.1145\/3626252\">SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1<\/a><span style=\"font-size: 16px;\">, <\/span><span style=\"font-size: 16px;\">Pages 443\u201344.<\/span><span style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\">&nbsp;<\/span><\/li>\n<li><span style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\">H\u00fcsing, S., Sparmann, S., Schulte, C., &amp; Bolte, M. (2024). Identifying K-12 Students\u2019 Approaches to Using Worked Examples for Epistemic Programming. Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 1-7. https:\/\/doi.org\/10.1145\/3649902.3655094&nbsp;<\/span><\/li>\n<li><span style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\">Katherine M. Miller, Joseph L. Polman, Susan A. Yoon, Jooeun Shim, Vivian Y. Leung, Yen Nguyen, Andee Rubin, Andee Rubin, Traci Higgins, Jessica M. Karch, James K.L. Hammerman, Camillia Matuk, Kayla DesPortes, Anna Amato, Suzanne Dikker, Xavier Ochoa, Esteban Romero, Susanne Podworny, Yannik Fleischer, Rolf Biehler, Justice T. Walker, Amanda Barany, Alex Acquah, Andi Scarola, Sayed Reza, Trang C. Tran, Ralph Vacca, Megan Silander, Peter J. Woods, Cassia Fernandez, Adelmo Eloy, Paulo Blikstein, Roseli de Deus Lopes, Josh Radinsky, Iris Tabak, Victor R. Lee, Dorottya Demszky, Sarah Levine, Josephine Louie (2024). <\/span><a style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\" href=\"https:\/\/www.researchgate.net\/profile\/Camillia-Matuk\/publication\/381350115_Data_and_Social_Worlds_How_Data_Science_Education_Supports_Civic_Participation_and_Social_Discourse\/links\/6681818a0a25e27fbc19f442\/Data-and-Social-Worlds-How-Data-Science-Education-Supports-Civic-Participation-and-Social-Discourse.pdf\">Data and Social Worlds: How Data Science Education Supports Civic Participation and Social Discourse<\/a><span style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\">. In: Robb Lindgren, Tutaleni Asino, Eleni A. Kyza, Chee-Kit Looi, D. Teo Keifert &amp; Enrique Su\u00e1rez (Eds.), ISLS Annual Meeting 2024 June 10-14, 2024 Learning as a Cornerstone of Healing, Resilience, and Community, pp 1863-1870. <\/span><a style=\"font-style: inherit; text-align: var(--text-align); letter-spacing: 0px;\" href=\"https:\/\/www.researchgate.net\/profile\/Camillia-Matuk\/publication\/381350115_Data_and_Social_Worlds_How_Data_Science_Education_Supports_Civic_Participation_and_Social_Discourse\/links\/6681818a0a25e27fbc19f442\/Data-and-Social-Worlds-How-Data-Science-Education-Supports-Civic-Participation-and-Social-Discourse.pdf\">URL<\/a><\/li>\n<li><span style=\"font-size: 16px;\">Podworny, S. (2024), Eine qualitative Studie zu Data Science Education: Sch\u00fclerinnen und Sch\u00fcler analysieren multivariate Daten. Stochastik in der Schule 44(1), 2-10.<\/span><\/li>\n<li><span style=\"font-size: 16px;\"><span lang=\"EN-US\">Podworny, S. &amp; Frischemeier, D. (2024). Young learners&#8217; perspectives on the concept of data as a model: what are data and what are they used for? In: S. Podworny, D. Frischemeier, M. Dvir &amp; D. Ben-Zvi (Eds.), <a href=\"https:\/\/digital.ub.uni-paderborn.de\/doi\/10.17619\/UNIPB\/1-1815\"><em>Reasoning with data models and modeling in the big data era <\/em><\/a>(pp 15-22). <\/span>Universit\u00e4tsbibliothek Paderborn, Paderborn.<\/span><\/li>\n<li>Podworny, S., Fleischer, Y., Biehler, R. (2024). Lebensmittel mit Entscheidungsb\u00e4umen klasifizieren. <em>mathematik lehren<\/em> 244, 8-13.<\/li>\n<li>Podworny, S., Frischemeier, D., Dvir, M. &amp; Ben-Zvi, D. (Eds..) (2024). <a href=\"http:\/\/dx.doi.org\/10.17619\/UNIPB\/1-1815\"><em>Reasoning with data models and modeling in the big data era.<\/em><\/a> Universit\u00e4tsbibliothek Paderborn, Paderborn.<a href=\"http:\/\/dx.doi.org\/10.17619\/UNIPB\/1-1815\"> http:\/\/dx.doi.org\/10.17619\/UNIPB\/1-1815<\/a><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e31807b e-flex e-con-boxed e-con e-child\" data-id=\"e31807b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ac16359 elementor-extension-display-condition-disabled elementor-widget elementor-widget-heading\" data-id=\"ac16359\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2023<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1fb8a2b elementor-extension-display-condition-disabled elementor-widget elementor-widget-text-editor\" data-id=\"1fb8a2b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>H\u00f6per, L. &amp; Schulte, C. 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(Hrsg.),\u00a0<a href=\"https:\/\/dl.gi.de\/collections\/74206cc8-8f7a-4561-90e9-4c7db8bb9c7e?cp.page=2\"><em>INFOS 2021 \u2013 19. GI-Fachtagung Informatik und Schule. Gesellschaft f\u00fcr Informatik<\/em>, Bonn<\/a>. (S. 327-327). DOI: 10.18420\/infos2021_w278<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-63d8b1c e-flex e-con-boxed e-con e-child\" data-id=\"63d8b1c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7cf5b82 elementor-extension-display-condition-disabled elementor-widget elementor-widget-heading\" data-id=\"7cf5b82\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2020<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2eac248 elementor-extension-display-condition-disabled elementor-widget elementor-widget-text-editor\" data-id=\"2eac248\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>Biehler, R., Frischemeier, D.,\u00a0Podworny, S.,\u00a0Wassong, T., Schulte, C., Opel, S. &amp;\u00a0Schlichtig, M. (2020).\u00a0<a href=\"https:\/\/eldorado.tu-dortmund.de\/bitstream\/2003\/38777\/1\/BzMU19_BIEHLER-2.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Substantielle Digitale Bildung statt nur Anwendung digitaler Werkzeuge \u2013 Impulse aus einem Pilotprojekt zu Data Science in der Sekundarstufe<\/a>. In:\u00a0<a href=\"http:\/\/wtm-verlag.de\/BzMU_Download\/Inhaltsverzeichnis_BzMU_2019.pdf\"><em>Beitr\u00e4ge zum Mathematikunterricht 2019<\/em><\/a>\u00a0(pp. 133-136). M\u00fcnster: WTM-Verlag.\u00a0<\/li><li>Budde, L., Frischemeier, D., Biehler, R., Fleischer, Y., Gerstenberger, D.,\u00a0Podworny, S., Schulte, C. (2020).\u00a0<a href=\"http:\/\/iase-web.org\/documents\/papers\/rt2020\/IASE2020%20Roundtable%2024_FRISCHEM.pdf?1610923749\" target=\"_blank\" rel=\"noreferrer noopener\">Data science education in secondary school: How to develop statistical reasoning when exploraing data using CODAP<\/a>. In P. Arnold (Ed),\u00a0<a href=\"http:\/\/iase-web.org\/Conference_Proceedings.php?p=2020_New_Skills_in_the_Changing_World_of_Statistics_Education\"><em>New Skills in\u00a0the\u00a0Changing\u00a0World\u00a0of\u00a0Statistics\u00a0Education. Proceedings\u00a0of\u00a0the\u00a0Roundtable\u00a0conference\u00a0of\u00a0the\u00a0International\u00a0Association\u00a0for\u00a0Statistical Education (IASE),\u00a0July\u00a02020, Online<\/em><\/a>.\u00a0Voorborg, The\u00a0Netherlands.\u00a0<\/li><li>Fleischer, Y., &amp; Biehler, R. (2020). <a href=\"https:\/\/eldorado.tu-dortmund.de\/bitstream\/2003\/39400\/1\/BzMu2020_FLEISCHER-id479.pdf\">Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht<\/a>. In H.-S. Siller, W. Weigel, &amp; J. F.\u00a0W\u00f6rler\u00a0(Eds.), <a href=\"https:\/\/wtm-verlag.de\/BzMU_Download\/Inhaltsverzeichnis_BzMU_2020.pdf\">Beitr\u00e4ge zum Mathematikunterricht 2020<\/a> (pp. 273-276). M\u00fcnster: WTM-Verlag.\u00a0<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ac586cb e-flex e-con-boxed e-con e-child\" data-id=\"ac586cb\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3471eee elementor-extension-display-condition-disabled elementor-widget elementor-widget-heading\" data-id=\"3471eee\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2019<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e6f1446 elementor-extension-display-condition-disabled elementor-widget elementor-widget-text-editor\" data-id=\"e6f1446\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>Biehler, R. (2019). <a href=\"https:\/\/www.ugr.es\/~fqm126\/civeest\/ponencias\/biehler.pdf\">Software\u00a0for\u00a0learning\u00a0and\u00a0for\u00a0doing\u00a0statistics\u00a0and\u00a0probability\u00a0\u2013 Looking back and\u00a0looking\u00a0forward\u00a0from\u00a0a personal\u00a0perspective<\/a>. In J. M. Contreras, M. M.\u00a0Gea, M. M. L\u00f3pez-Mart\u00edn, &amp; E. Molina-Portillo (Eds.), <a href=\"http:\/\/www.ugr.es\/local\/fqm126\/civeest.html\">Proceedings\u00a0of\u00a0the\u00a0Third International Virtual\u00a0Congress\u00a0of\u00a0Statistical Education. University\u00a0of\u00a0Granada<\/a>.<\/li><li>Opel, S.,\u00a0Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D.,\u00a0Podworny, S. &amp;\u00a0Wassong, T. (2019).\u00a0<a href=\"https:\/\/dl.gi.de\/bitstream\/handle\/20.500.12116\/28935\/c14.pdf?sequence=1&amp;isAllowed=y\" target=\"_blank\" rel=\"noreferrer noopener\">Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.<\/a>\u00a0In: A. Pasternak (Hrsg.),<em>\u00a0<a href=\"https:\/\/ls11-www.cs.tu-dortmund.de\/people\/paster\/infos2019\/lni_band_288\/proceedings_infos2019.pdf\">Proceedings zur 18. GI-Fachtagung Informatik und Schule \u201eInformatik f\u00fcr Alle\u201d<\/a><\/em>\u00a0(S.\u00a0 285-294). Bonn: Gesellschaft f\u00fcr Informatik.\u00a0<\/li><li>Schlichtig, M., Opel, S., Schulte, C., Biehler, R., Frischemeier, D.,\u00a0Podworny, S. &amp;\u00a0Wassong, T. (2019).\u00a0<a href=\"https:\/\/dl.gi.de\/bitstream\/handle\/20.500.12116\/28964\/f13.pdf?sequence=1&amp;isAllowed=y\" target=\"_blank\" rel=\"noreferrer noopener\">Maschinelles Lernen im Unterricht mit Jupyter Notebook<\/a>. In: A. Pasternak (Hrsg.),\u00a0<a href=\"https:\/\/ls11-www.cs.tu-dortmund.de\/people\/paster\/infos2019\/lni_band_288\/proceedings_infos2019.pdf\"><em>Proceedings zur 18. GI-Fachtagung Informatik und Schule \u201cInformatik f\u00fcr Alle\u201d<\/em>\u00a0<\/a>(S.\u00a0 385). Bonn: Gesellschaft f\u00fcr Informatik.\u00a0<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c96f3cf e-flex e-con-boxed e-con e-child\" data-id=\"c96f3cf\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bef8fd3 elementor-extension-display-condition-disabled elementor-widget elementor-widget-heading\" data-id=\"bef8fd3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2018<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fd170e elementor-extension-display-condition-disabled elementor-widget elementor-widget-text-editor\" data-id=\"6fd170e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>Biehler, R., Budde, L., Frischemeier, D., Heinemann, B.,\u00a0Podworny, S., Schulte, C., &amp;\u00a0Wassong, T. (Eds.). (2018). <a href=\"https:\/\/www.telekom-stiftung.de\/sites\/default\/files\/files\/PaderbornSymposiumDataScience2017_0.pdf\">Paderborn Symposium on Data Science Education at School Level 2017: The\u00a0Collected\u00a0Extended Abstracts<\/a>. Paderborn: Universit\u00e4tsbibliothek Paderborn. doi.org\/10.17619\/UNIPB\/1-374 \u00a0<\/li><li>Biehler, R., Frischemeier, D., Podworny, S., Wassong, T., Budde, L., Heinemann, B., &amp; Schulte, C. (2018). <a href=\"http:\/\/doi.org\/10.5445\/KSP\/1000087327\/28\">Data Science and Big Data in Upper Secondary Schools: A Module to Build up First Components of Statistical Thinking in a Data Science Curriculum<\/a>. Archives of Data Science, Series A (Online First), 5(1), 28. \u00a0\u00a0<\/li><li>Biehler, R., &amp; Schulte, C. (2018). <a href=\"https:\/\/fddm.uni-paderborn.de\/fileadmin-eim\/mathematik\/Didaktik_der_Mathematik\/BiehlerRolf\/Publikationen\/Biehler_SchultePaderbornSymposiumDataScience20.pdf\">Perspectives for an interdisciplinary data science curriculum at German secondary school<\/a>s. In R. Biehler, L. Budde, D. Frischemeier, B. Heinemann, S. Podworny, C. Schulte, &amp; T. Wassong (Eds.), <a href=\"https:\/\/doi.org\/http:\/\/dx.doi.org\/10.17619\/UNIPB\/1-374\">Paderborn Symposium on Data Science Education at School Level 2017: The Collected Extended Abstracts<\/a> (pp. 2-14). Universit\u00e4tsbibliothek Paderborn.\u00a0<\/li><li>Heinemann, B., Budde, L., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., &amp; Wassong, T. (2018). <a href=\"https:\/\/publikationen.bibliothek.kit.edu\/1000142512\">Data Science and Big Data in Upper Secondary Schools: What Should Be Discussed From a Perspective of Computer Science Education?<\/a> Archives of Data Science, Series A, 5(1), P26,-18.<\/li><li>Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., Podworny, S. &amp; Wassong, T. (2018). <a href=\"http:\/\/doi.org\/10.1145\/3279720.3279737\">Drafting a Data Science Curriculum for Secondary Schools. Proceedings of the 18th Koli Calling International Conference on Computing Education Research \u2013 Koli Calling \u201918<\/a>, (17), 1\u20135.\u00a0<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-3d33599 e-con-full e-flex e-con e-child\" data-id=\"3d33599\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>2025 Biehler, R., Engel, J., Frischemeier, D., &amp; Podworny, S. (2025). Civic Statistical Literacy: Konzept und praxisnahe Umsetzung am Beispiel des Klimawandels. mathematica didactica, 48. Biehler, R., Kawakami, T., Lampen, E., Weiland, T., &amp; Zapata-Cardona, L. (2025). Statistics and data science education as a vehicle for empowering citizens \u2013 short summary of a survey. EMS [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":25746,"parent":25569,"menu_order":64,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-25256","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Publikationen - ProDaBi<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.prodabi.de\/en\/forschung\/publikationen\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publikationen - ProDaBi\" \/>\n<meta property=\"og:description\" content=\"2025 Biehler, R., Engel, J., Frischemeier, D., &amp; Podworny, S. 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