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128 Publications
2024 | Conference Paper | LibreCat-ID: 52379
S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples for Engaging in Epistemic Programming Projects,” 2024, doi: 10.1145/3626252.3630961.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 46186 | 
L. Höper and C. Schulte, “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht,” MNU journal, vol. 76, no. 4, pp. 314–320, 2023.
LibreCat
| Files available
2023 | Journal Article | LibreCat-ID: 47151
F. Winkelnkemper, L. Höper, and C. Schulte, “ARIadne – An Explanation Model for Digital Artefacts,” Informatics in Education, 2023, doi: 10.15388/infedu.2024.09.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 49655 |
L. Höper and C. Schulte, “The data awareness framework as part of data literacies in K-12 education,” Information and Learning Sciences, 2023, doi: 10.1108/ils-06-2023-0075.
LibreCat
| Files available
| DOI
2023 | Conference Paper | LibreCat-ID: 47448
L. Terfloth, M. Schaffer, H. M. Buhl, and C. Schulte, “Adding Why to What? Analyses of an Everyday Explanation,” presented at the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa, 2023, doi: 10.1007/978-3-031-44070-0_13.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 52380
S. Sparmann, S. Hüsing, and C. Schulte, “JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks,” 2023, doi: 10.1145/3631802.3631824.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 32335
S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 31407
L. Höper, S. Podworny, C. Schulte, and D. Frischemeier, “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network,” 2022, doi: 10.52041/iase.nkppy.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 38158
F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, and C. Schulte, “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, pp. 1407–1413.
LibreCat