Hüsing, S., Schulte, C., Sparmann, S., &; Bolte, M. (2024). Using Worked Examples for Engaging in Epistemic Programming Projects. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1.https://doi.org/10.1145/3626252.3630961 

Höper, L., &; Schulte, C. (2024). Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies. Informatics in Education.https://doi.org/10.15388/infedu.2024.19 

Hüsing, S., Sparmann, S., Schulte, C., &; Bolte, M. (2024). Identifying K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming. Proceedings of the 2024 Symposium on Eye Tracking Research and Applications.https://doi.org/10.1145/3649902.3655094 

Hüsing, S., Schulte, C., &; Winkelnkemper, F. (2023). Epistemic Programming. In Computer Science Education. Bloomsbury Academic.https://doi.org/10.5040/9781350296947.ch-022 

Höper, L., &; Schulte, C. (2023). Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht. MNU journal, 76(4), 314–320.

Winkelnkemper, F., Höper, L., &; Schulte, C. (2023). ARIadne – An Explanation Model for Digital Artefacts. Informatics in Education.https://doi.org/10.15388/infedu.2024.09 

Höper, L., &; Schulte, C. (2023). The data awareness framework as part of data literacies in K-12 education. Information and Learning Sciences.https://doi.org/10.1108/ils-06-2023-0075 

Terfloth, L., Schaffer, M., Buhl, H. M., &; Schulte, C. (2023). Adding Why to What? Analyses of an Everyday Explanation. 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa.https://doi.org/10.1007/978-3-031-44070-0_13 

Sparmann, S., Hüsing, S., &; Schulte, C. (2023). JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. Proceedings of the 23rd Koli Calling International Conference on Computing Education Research.https://doi.org/10.1145/3631802.3631824 

Höper, L., Podworny, S., Schulte, C., &; Frischemeier, D. (2022). Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network. Proceedings of the IASE 2021 Satellite Conference.https://doi.org/10.52041/iase.nkppy 

Winkelnkemper, F., Huhmann, T., Bechinie, D., Eilerts, K., Lenke, M., &; Schulte, C. (2022). 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, 1407–1413.

Schulte, C., &; Winkelnkemper, F. (2022). Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik. In Theologie im Übergang - Identität - Digitalisierung - Dialog (pp. 117–135). Herder.

Fleischer, Y., Biehler, R., &; Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal, 21(2), Article 7.https://doi.org/10.52041/serj.v21i2.61 

Fleischer, Y., Hüsing, S., Biehler, R., Podworny, S., &; Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. 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.https://doi.org/10.52041/iase.icots11.t10e3 

Schulte, C., A. Becker, B., Divitini, M., &; Barendsen, E. (Eds.). (2021). 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.https://doi.org/10.1145/3456565 

Schulte, C., A. Becker, B., Divitini, M., &; Barendsen, E. (Eds.). (2021). ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021. ACM.https://doi.org/10.1145/3430665 

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

Höper, L., &; Schulte, C. (2021). Datenbewusstsein: Aufmerksamkeit für die eigenen Daten. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (pp. 73–82). Gesellschaft für Informatik, Bonn.https://doi.org/10.18420/infos2021‑f235 

Große-Bölting, G., Gerstenberger, D. K.-H., Gildehaus, L., Mühling, A., &; Schulte, C. (2021). Identity in K-12 Computer Education Research: A Systematic Literature Review. In A. J. Ko, J. Vahrenhold, R. McCauley, &; M. Hauswirth (Eds.), ICER 2021: ACM Conference on International Computing Education Research, Virtual Event, USA, August 16-19, 2021 (pp. 169–183). ACM.https://doi.org/10.1145/3446871.3469757 

Schulte, C., &; A. Becker, B. (2021). ITiCSE 2021 recap. ACM SIGCSE Bull., 53(3), 3–4.https://doi.org/10.1145/3483403.3483405