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Höper, Lukas, and Carsten Schulte. “Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.”10.15388/infedu.2024.19__Informatics in Education, Vilnius University Press, 2024, doi:10.15388/infedu.2024.19.

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Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht.” MNU journal, vol. 76, no. 4, Verlag Klaus Seeberger, 2023, pp. 314–20.

Winkelnkemper, Felix, et al. “ARIadne – An Explanation Model for Digital Artefacts.”10.15388/infedu.2024.09__Informatics in Education, Vilnius University Press, 2023, doi:10.15388/infedu.2024.09.

Höper, Lukas, and Carsten Schulte. “The Data Awareness Framework as Part of Data Literacies in K-12 Education.”10.1108/ils-06-2023-0075__Information and Learning Sciences, Emerald, 2023, doi:10.1108/ils-06-2023-0075.

Terfloth, Lutz, et al. Adding Why to What? Analyses of an Everyday Explanation. Springer, Cham, 2023, doi:10.1007/978-3-031-44070-0_13.

Sparmann, Sören, et al. “JuGaze: A Cell-Based Eye Tracking and Logging Tool for Jupyter Notebooks.”10.1145/3631802.3631824__Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, ACM, 2023, doi:10.1145/3631802.3631824.

Höper, Lukas, et al. “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network.”10.52041/iase.nkppy__Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022, doi:10.52041/iase.nkppy.

Winkelnkemper, Felix, et al. “Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities.” Society for Information Technology &; Teacher Education International Conference, 2022, pp. 1407–1413.

Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance Und Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” Theologie Im Übergang - Identität - Digitalisierung - Dialog, Herder, 2022, pp. 117–135.

Fleischer, Yannik, et al. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.”10.52041/serj.v21i2.61__Statistics Education Research Journal, vol. 21, no. 2, 7, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.61.

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Schulte, Carsten, et al., editors. ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports. ACM, 2021, doi:10.1145/3456565.

Schulte, Carsten, et al., editors. ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021. ACM, 2021, doi:10.1145/3430665.

Podworny, Susanne, et al. “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein.”10.18420/infos2021‑w278__19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 327, doi:10.18420/infos2021‑w278.

Höper, Lukas, and Carsten Schulte. “Datenbewusstsein: Aufmerksamkeit für die eigenen Daten.”10.18420/infos2021‑f235__19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, pp. 73–82, doi:10.18420/infos2021‑f235.

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Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.”10.1145/3483403.3483405__ACM SIGCSE Bull., vol. 53, no. 3, 2021, pp. 3–4, doi:10.1145/3483403.3483405.

Podworny, Susanne, et al. “Using Data Cards for Teaching Data Based Decision Trees in Middle School.”10.1145/3488042.3489966__Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 39:1-39:3, doi:10.1145/3488042.3489966.