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

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

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

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