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

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

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

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

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

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

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

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

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

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

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

Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik
C. Schulte, F. Winkelnkemper, in: Theologie Im Übergang - Identität - Digitalisierung - Dialog, Herder, Freiburg im Breisgau, 2022, pp. 117–135.
LibreCat: /record/39080

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

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

Grade 6 Students’ Perception and Use of Data-Based Decision Trees
S. Podworny, Y. Fleischer, S. Hüsing, 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.
LibreCat: /record/40510
DOI: 10.52041/iase.icots11.t2h3

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

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

Jupyter Notebooks for Teaching, Learning, and Doing Data Science
Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, in: S.A. Peters, L. Zapata-Cardona, F. Bonafini, A. Fan (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.
LibreCat: /record/35674
DOI: 10.52041/iase.icots11.t10e3

ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports
C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, 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.
LibreCat: /record/25521
DOI: 10.1145/3456565

ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021
C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021, ACM, 2021.
LibreCat: /record/25522
DOI: 10.1145/3430665