Budde L, Schulte C, Buhl HM, Muehling A. Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows). Seventh International Conference on Learning and Teaching in Computing and Engineeringe. Published online 2020.
LibreCat: /record/21267

Opel S, Nordemann L, Schulte C, Tenberge C. Mensch, Maschine! Ein unplugged-Einstieg in KI und maschinelles Lernen. Merz Medien + Erziehung Zeitschrift für Medienpädagogik . Published online 2020.
LibreCat: /record/39465

Biehler R, Fleischer Y, Budde L, et al. Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education. In: Arnold P, ed. New Skills in the Changing World of Statistics Education Proceedings of the Roundtable Conference of the International Association for Statistical Education (IASE). ISI/IASE; 2020.
LibreCat: /record/35814

Budde L, Frischemeier D, Biehler R, et al. Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP. In: Arnold P, ed. New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable Conference of the International Association for Statistical Education (IASE), July 2020. ISI/IASE; 2020.
LibreCat: /record/35821

Schulte C, A. Becker B, Divitini M, Barendsen E, eds. 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
LibreCat: /record/25521
DOI: 10.1145/3456565

Schulte C, A. Becker B, Divitini M, Barendsen E, eds. 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
LibreCat: /record/25522
DOI: 10.1145/3430665

Podworny S, Höper L, Fleischer Y, Hüsing S, Schulte C. Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein. In: Humbert L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:327. doi:10.18420/infos2021‑w278
LibreCat: /record/25523
DOI: 10.18420/infos2021‑w278

Höper L, Schulte C. Datenbewusstsein: Aufmerksamkeit für die eigenen Daten. In: Humbert L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:73-82. doi:10.18420/infos2021‑f235
LibreCat: /record/25524
DOI: 10.18420/infos2021‑f235

Große-Bölting G, Gerstenberger DK-H, Gildehaus L, Mühling A, Schulte C. Identity in K-12 Computer Education Research: A Systematic Literature Review. In: J. Ko A, Vahrenhold J, McCauley R, Hauswirth M, eds. ICER 2021: ACM Conference on International Computing Education Research, Virtual Event, USA, August 16-19, 2021. ACM; 2021:169-183. doi:10.1145/3446871.3469757
LibreCat: /record/25525
DOI: 10.1145/3446871.3469757

Schulte C, A. Becker B. ITiCSE 2021 recap. ACM SIGCSE Bull. 2021;53(3):3-4. doi:10.1145/3483403.3483405
LibreCat: /record/25527
DOI: 10.1145/3483403.3483405

Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing Education. In: 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. Association for Computing Machinery; 2021. doi:10.1145/3488042.3490509
LibreCat: /record/27491
DOI: 10.1145/3488042.3490509

Podworny S, Fleischer Y, Hüsing S, et al. Using data cards for teaching data based decision trees in middle school. In: Seppälä O, Petersen A, eds. Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021. ACM; 2021:39:1-39:3. doi:10.1145/3488042.3489966
LibreCat: /record/27493
DOI: 10.1145/3488042.3489966

Hüsing S. Epistemic Programming - An insight-driven programming concept for Data Science. In: Seppälä O, Petersen A, eds. Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021. ACM; 2021:42:1-42:3. doi:10.1145/3488042.3490510
LibreCat: /record/27494
DOI: 10.1145/3488042.3490510

Bovermann K, Fleischer Y, Hüsing S, Opitz C. Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In: Humbert L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:319. doi:10.18420/infos2021‑w283
LibreCat: /record/27495
DOI: 10.18420/infos2021‑w283

Höper L, Schulte C. Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten. In: Gesellschaft für Informatik e.V., ed. 51. Jahrestagung Der Gesellschaft Für Informatik, INFORMATIK 2021 - Computer Science &; Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021. Lecture Notes in Informatics. Gesellschaft für Informatik; 2021:1623-1632. doi:10.18420/informatik2021-136
LibreCat: /record/29706
DOI: 10.18420/informatik2021-136

Höper L, Hüsing S, Malatyali H, Schulte C, Budde L. Methodik für Datenprojekte im Informatikunterricht. LOG IN. 2021;41(1):31-38.
LibreCat: /record/29702

Bechinie D, Eilerts K, Huhmann T, Lenke M, Schulte C, Winkelnkemper F. Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern. In: Beiträge zum Mathematikunterricht 2021. WTM Verlag, Münster; 2021.
LibreCat: /record/29707

Gerstenberger DK-H, Winkelnkemper F, Schulte C. Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden. 9 Fachtagung Hochschuldidaktik Informatik (HDI). Published online 2021:49.
LibreCat: /record/29708

Höper L, Podworny S, Hüsing S, et al. Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. In: Humbert L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021. Vol P-313. LOG IN. Gesellschaft für Informatik, Bonn; 2021:345. doi:10.18420/infos2021‑a230
LibreCat: /record/25520
DOI: 10.18420/infos2021‑a230

Budde L. Entwicklung und Rekonstruktion einer interaktionsgeprägten Sichtweise auf das komplementäre Mensch-Maschine-Verhältnis. University of Paderborn, Germany; 2021.
LibreCat: /record/27499

Passey D, Brinda T, Cornu B, et al. Computers and Education – Recognising Opportunities and Managing Challenges. In: Goedicke M, Neuhold E, Rannenberg K, eds. Advancing Research in Information and Communication Technology. Vol AICT-600. IFIP Advances in Information and Communication Technology. Springer, Cham; 2021:129-152. doi:10.1007/978-3-030-81701-5_5
LibreCat: /record/29720
DOI: 10.1007/978-3-030-81701-5_5

Podworny S, Höper L, Fleischer Y, Hüsing S, Schulte C. Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein. INFOS 2021–19 GI-Fachtagung Informatik und Schule. Published online 2021.
LibreCat: /record/29710

Höper L, Podworny S, Hüsing S, et al. Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. INFOS 2021–19 GI-Fachtagung Informatik und Schule. Published online 2021.
LibreCat: /record/29712

Hüsing S, Weiser N, Biehler R. Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. mathematik lehren. 2021;2021(228):23–27.
LibreCat: /record/40512

Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366
LibreCat: /record/24456
DOI: 10.1109/tcds.2020.3044366

Hüsing S, Weiser N, Biehler R. Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. mathematik lehren. 2021;2021(228):23–27.
LibreCat: /record/35763

Frischemeier D, Biehler R, Podworny S, Budde L. A first introduction to data science education in secondary schools: Teaching and learning about data exploration with&;scp&;CODAP&;/scp&;using survey data. Teaching Statistics. 2021;43():82-89. doi:10.1111/test.12283
LibreCat: /record/35751
DOI: 10.1111/test.12283

PODWORNY S, Hüsing S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH JOURNAL. 2022;21(2). doi:10.52041/serj.v21i2.46
LibreCat: /record/32335
DOI: 10.52041/serj.v21i2.46

Höper L, Podworny S, Schulte C, Frischemeier D. Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network. In: Proceedings of the IASE 2021 Satellite Conference. International Association for Statistical Education; 2022. doi:10.52041/iase.nkppy
LibreCat: /record/31407
DOI: 10.52041/iase.nkppy

Winkelnkemper F, Huhmann T, Bechinie D, Eilerts K, Lenke M, Schulte C. Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities. In: Society for Information Technology &; Teacher Education International Conference. ; 2022:1407–1413.
LibreCat: /record/38158

Schulte C, Winkelnkemper F. Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik. In: Theologie Im Übergang - Identität - Digitalisierung - Dialog. Kirche in Zeiten der Veränderung. Herder; 2022:117–135.
LibreCat: /record/39080

Huhmann T, Winkelnkemper F. SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. In: EDULEARN22 Proceedings. ; 2022:10017–10026. doi:10.21125/edulearn.2022.2416
LibreCat: /record/38160
DOI: 10.21125/edulearn.2022.2416

Huhmann T, Eilerts K, Winkelnkemper F. Pentomino Digital - Mit Einer App Geometrie Lernen. Mathematik differenziert. 2022;(4-2022):42–45.
LibreCat: /record/38162

Podworny S, Fleischer Y, Hüsing S. Grade 6 Students’ Perception and Use of Data-Based Decision Trees. In: Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. International Association for Statistical Education; 2022. doi:10.52041/iase.icots11.t2h3
LibreCat: /record/40510
DOI: 10.52041/iase.icots11.t2h3

Hüsing S, Podworny S. Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School. In: Proceedings of the IASE 2021 Satellite Conference. International Association for Statistical Education; 2022. doi:10.52041/iase.zwwoh
LibreCat: /record/30937
DOI: 10.52041/iase.zwwoh

Fleischer Y, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.61
LibreCat: /record/35672
DOI: 10.52041/serj.v21i2.61

Fleischer Y, Hüsing S, Biehler R, Podworny S, Schulte C. Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, eds. Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. International Association for Statistical Education; 2022. doi:10.52041/iase.icots11.t10e3
LibreCat: /record/35674
DOI: 10.52041/iase.icots11.t10e3

Hüsing S, Schulte C, Winkelnkemper F. Epistemic Programming. In: Computer Science Education. Bloomsbury Academic; 2023. doi:10.5040/9781350296947.ch-022
LibreCat: /record/40511
DOI: 10.5040/9781350296947.ch-022

Höper L, Schulte C. Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht. MNU journal. 2023;76(4):314-320.
LibreCat: /record/46186

Winkelnkemper F, Höper L, Schulte C. ARIadne – An Explanation Model for Digital Artefacts. Informatics in Education. Published online 2023. doi:10.15388/infedu.2024.09
LibreCat: /record/47151
DOI: 10.15388/infedu.2024.09

Höper L, Schulte C. The data awareness framework as part of data literacies in K-12 education. Information and Learning Sciences. Published online 2023. doi:10.1108/ils-06-2023-0075
LibreCat: /record/49655
DOI: 10.1108/ils-06-2023-0075

Terfloth L, Schaffer M, Buhl HM, Schulte C. Adding Why to What? Analyses of an Everyday Explanation. In: Springer, Cham; 2023. doi:10.1007/978-3-031-44070-0_13
LibreCat: /record/47448
DOI: 10.1007/978-3-031-44070-0_13

Sparmann S, Hüsing S, Schulte C. JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. In: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research. ACM; 2023. doi:10.1145/3631802.3631824
LibreCat: /record/52380
DOI: 10.1145/3631802.3631824

Hüsing S, Schulte C, Sparmann S, Bolte M. Using Worked Examples for Engaging in Epistemic Programming Projects. In: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. ACM; 2024. doi:10.1145/3626252.3630961
LibreCat: /record/52379
DOI: 10.1145/3626252.3630961

Höper L, Schulte C. Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies. Informatics in Education. Published online 2024. doi:10.15388/infedu.2024.19
LibreCat: /record/53622
DOI: 10.15388/infedu.2024.19

Biehler R, Budde L, Frischemeier D, et al. Paderborn Symposium on Data Science Education at School Level 2017: The Collected Extended Abstracts.
LibreCat: /record/15596