Publikationen und Projekte der AG Kubsch
Publikationen
2023
| Mientus, L., Klempin, C., Nowak A., Wyss C., von Aufschnaiter C. & Kubsch, M. (2023). Reflexion in der Lehrkräftebildung. Empirisch – Phasenübergreifend – Interdisziplinär. Universitätsverlag Potsdam. |
| Taylor, J. A., Bowen, G. M., Kubsch, M., Summers, R., Sezen-Barrie, A., Patrick, P., Lachapelle, C., Warfa, A., & Guzey, S. S. (2023). Crossing boundaries between research and practitioner communities: The role of research use and cross-community journal authorship. Journal of Research in Science Teaching, 1–28. |
| Krist, C., & Kubsch, M. Bias, bias everywhere: A response to Li et al. and Zhai and Nehm. Journal of Research in Science Teaching, tea.21913. |
| Tschisgale, P., Wulff, P., Kubsch, M. Integrating artificial intelligence-based methods into qualitative research in PER – A case for computational grounded theory. Physical Review: Physics Education Research. |
| Fiedler, K., Kubsch, M., Neumann, K., Nordine, J. Fields in middle school energy instruction to support continued learning of energy. Physical Review: Physics Education Research. |
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Kubsch, M., Neumann, K., Rochnia, M., Gräsel, C. 50 Jahre Unterrichtswissenschaften – Themen der empirischen Lehr-Lern-Forschung im Wandel. |
| Grimm, A., Steegh, A., Colakogul, J., Kubsch, M., Neumann, K. Positioning Responsible Learning Analytics in the Context of STEM Identities of Under-Served Students. Frontiers in Education. |
2022
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Grimm, A., Kubsch, M., Steegh, A., Neumann, K. Learning Analytics in Physics Education: Ethical, Equity-Focused Decision-Making lacks Guidance. |
| Kubsch, M., Czinczel, B., Lossjew, J., Wyrwich, T., Bednorz, D., Bernholt, S., Fiedler, D., Strauß, S., Cress, U., Drachsler, H., Neumann, K., Rummel, R. Towards Learning Progression Analytics – Developing Learning Environments for the Automated Analysis of Learning using Evidence Centered Design. Frontiers in Education. |
| Kubsch, M., Rosenberg, J., Krist, C. Distributing epistemic functions and tasks—A framework for augmenting human analytic power with machine learning in science education research. Journal of Research in Science Teaching. |
| Kubsch, M., Fortus, D., Neumann, K., Nordine, J., Krajcik, J. The interplay of students’ motivational profiles and science learning. Journal of Research in Science Teaching. |
| Rosenberg, J., Kubsch, M., Dogucu, M., Wagenmakers, E. A Bayesian perspective on uncertainty and probability in science education. Science & Education. |
| Kubsch, M., Wulff, P., Buschhüter, D. Schwerpunkttagung Maschinelles Lernen und computerbasierte Textanalysen: Potentiale und Herausforderungen für die Naturwissenschaftsdidaktik. In: Habig, S. (Hrsg.). Unsicherheit als Element von naturwissenschaftsbezogenen Bildungsprozessen: GDCP Tagungsband 2022. |
| Kubsch, M., Weßnigk, S. Die Wärmebildkamera im Kontext Mechanik gewinnbringend einsetzen. MNU. |
| Gombert, S., Karademir, O., Di Mitri, D., Kubsch, M., Grimm, A., Neumann, K., Drachsler, H. Explainable detection of energy knowledge in school students’ constructed responses. Journal of Computer-Assisted Learning. |
| Fiedler, K., Kubsch, M., Neumann, K., Nordine, J. Der potentiellen Energie ein Zuhause geben – Felder als didaktisches Hilfsmittel im Anfangsunterricht zur Energie. Zeitschrift für Didaktik der Naturwissenschaften. |
| Kubsch, M., Hamerski, P. Dynamic Energy Transfer Models. The Physics Teacher. |
| Kubsch, M., Cabellero, D., Uribe, P. Once more with Feeling - Emotions in Multimodal Learning Analytics. In: Spikol, D., Sharma, K., DiMitri, D., Giannakos, M. (Eds.). Multimodal Learning Analytics. Springer. |
2021
| Kubsch, M., Sorge, S., Graulich, N., Arnold, J. (Hrsg.) Lehrkräftebildung neu gedacht – Ein Praxishandbuch für die Lehre in den Naturwissenschaften und deren Didaktiken. Waxmann. |
| Kubsch, M., Rosenberg, J., Krist, C. Beyond Supervision: Human / Machine Distributed Learning in Learning Sciences Research. In: de Vries, E., Hod, Y., & Ahn J. (Eds.). Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. Bochum, Germany: International Society of the Learning Sciences. |
| Rosenberg, J., Kubsch, M. Considering K-12 Learners’ Use of Bayesian Methods. ISLS Annual Meeting 2021. In: de Vries, E., Hod, Y., & Ahn J. (Eds.). (2021). Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. Bochum, Germany: International Society of the Learning Sciences. |
| Sorge, S., Kubsch, M., Breuer, J., Syskowski, S. & Wöhlke, C. Lehrkräftebildung neu gedacht - Ergebnisse des GDCP Hackathon 2020. In: Habig, S. (Hrsg.). Naturwissenschaftlicher Unterricht und Lehrerbildung im Umbruch?: Gesellschaft für Didaktik der Chemie und Physik - online Jahrestagung 2020. Universität Duisburg-Essen, Band 41. S. 45-47. |
| Kubsch, M., Opitz, S., Nordine, J., Neumann, K., Fortus, D., & Krajcik, J. Exploring a pathway towards energy conservation through emphasizing the connections between energy, systems, and fields. Disciplinary and Interdisciplinary Science Education Research. |
| Kubsch, M., Stamer, I., Steiner, M., Neumann, K., Parchmann, I. Beyond p-values: Using Bayesian Data Analysis in Science Education Research. Practical Assessment, Research and Evaluation. |
| Kubsch, M., Sorge, S. Unterstützungsmöglichkeiten beim Erklären und Argumentieren im Physikunterricht. MNU. |
| Fischer, J., Steinmann, T., Kubsch, M., Laumann, D., Weßnigk, S., Neumann, K., Kerres, M. Die Rettung der Phänomene! - Phänomenbasiertes Lernen initiieren und strukturieren durch Leitfragen. MNU. |
2020
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Bowen, M., Taylor, J., Patrick, P., Warfa, A., Kubsch, M., Sezen-Barrie, A., Lachapelle, C., Summers, R., Guzey, S. Understanding the Use of Academic Research in Science Education Practitioner Journals. |
| Kubsch, M., Nordine, J., Neumann, K., Fortus, D., & Krajcik, J. Supporting students in using energy ideas to interpret phenomena - the role of an energy representation. International Journal of Science & Mathematics Education. |
| Kubsch, M., Touitou, I., Nordine, J., Neumann, K., & Krajcik, J. Transferring Knowledge in a Knowledge-in-Use Task —Investigating the Role of Knowledge Organization. Education Sciences. |
2019
| Stamer, I., Kubsch, M., Thiele, M., Höffler, T., Schwarzer, S., & Parchmann, I. Scientists, Their Work, and how Others Perceive Them: Self- Perceptions of Scientists and Students’ Stereotypes. Research in Subject-matter Teaching and Learning (RISTAL). |
| Kubsch, M., & Cukurova, M. Diagnosing Student Competencies about the Concept of Energy in a Digital Learning Environment. In Student Learning Outcomes Assessment in Higher Education - Ideas, Approaches and Concepts for Research, Transfer and Implementation, KoKoHs Working Papers, eds. Corinna Lautenbach et al. Berlin & Mainz: Humboldt University & Johannes Gutenberg University. |
| Fortus, D., Kubsch, M., Bielik, T., Krajcik, J., Lehavi, Y., Neumann, K., & Touitou, I. Systems, transfer, and fields: Evaluating a new approach to energy instruction. Journal of Research in Science Teaching. |
| Kubsch, M., Nordine, J., Neumann, K., Fortus, D., & Krajcik, J. Probing the Relation between Students’ Integrated Knowledge and Knowledge-in-Use about Energy using Network Analysis. Eurasia Journal of Mathematics, Science and Technology Education, 15(8). |
| Kubsch, M., Nordine, J., Neumann, K., Fortus, D., & Krajcik, J. Measuring Integrated Knowledge – A Network Analytical Approach. In Rethinking Learning in the Digital Age. Making the Learning Sciences Count. London. |
| Kubsch, M., Nordine, J., & Neumann, K. Der System-Transfer Ansatz. Unterricht Physik, 164. |
2018
| Kubsch, M., Nordine, J., Neumann, K., Fortus, D., & Krajcik, J. Lerntrajektorien im Energiekonzept. In Christian Maurer (Ed.), Qualitätsvoller Chemie- und Physikunterricht - normative und empirische Dimensionen. Vol. 38. |
| Kubsch, M., & Nordine, J. Energietransferdiagramme als kognitive Unterstützung in der Mittelstufe. In C. Maurer (Ed.), Implementation fachdidaktischer Innovation im Spiegel von Forschung und Praxis. Vol. 37. |
2017
| Kubsch, M., Nordine, J., & Hadinek, D. Using smartphone thermal cameras to engage students’ misconceptions about energy. The Physics Teacher, 55(8), 504–505. |
2016
| Kubsch, M., Illenseer, T. F., & Duschl, W. J. Accretion disk dynamics: α– viscosity in self-similar self-gravitating models. Astronomy & Astrophysics, 588, A22. |
2014
| Meißner, M., & Härtig, H. Smartphone astronomy. The Physics Teacher, 52(7), 440–441. |
Schlagwörter
- Publikationen