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1616 Publications
2022 | Conference Paper | LibreCat-ID: 48389
Dröse, J., Griese, B., & Wessel, L. (2022). Prospective teachers’ diagnostic judgments on students’ understanding of conditional probabilities. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12). TwelfthCongressoftheEuropeanSocietyforResearchin Mathematics Education(CERME12), Bozen-Bolzano,Italy.
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2022 | Journal Article | LibreCat-ID: 48325
Dellori, A., & Wessel, L. (2022). Entwicklung und Erprobung von professionsorientierten Lernumgebungen zur Wissensvernetzung in der Algebra. Beiträge zum Mathematikunterricht 2022, 665–668. https://doi.org/10.17877/DE290R-23598
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2022 | Book Chapter | LibreCat-ID: 48385
Dellori, A., & Wessel, L. (2022). Design principles for intertwining local and nonlocal mathematics - The case of relating registers and representations in abstract algebra. In M. Trigueros, B. Barquero, R. Hochmuth, & J. Peters (Eds.), Proceedings of INDRUM2022 (pp. 572–573).
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2022 | Book Chapter | LibreCat-ID: 48407
Dellori, A., & Wessel, L. (2022). Pre-service Teachers’ Professional Development: Relating Abstract Algebra and School Algebra. In S. S. Karunakaran & A. Higgins (Eds.), Proceedings of the 24th Annual Conference on Research in Undergraduate Mathematics Education (p. 1177). MA.
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2022 | Journal Article | LibreCat-ID: 48408
Wessel, L., & Dröse, J. (2022). Schreiben will gelernt sein: Schreiblerngelegenheiten adaptiv gestalten. mathematik lehren, 233, 33–36.
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2022 | Book Chapter | LibreCat-ID: 35696
Nieszporek, R., Griese, B., & Biehler, R. (2022). Facilitators’ Orientations Towards Learning Goals, Perceived Challenges, and Teaching Resources for a PD Course on Conditional Probability. 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.t4b2
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2022 | Conference Paper | LibreCat-ID: 34919
Biehler, R. (2022). Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications. 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.t1a2
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2022 | Journal Article | LibreCat-ID: 34920
Biehler, R., De Veaux, R., Engel, J., Kazak, S., & Frischemeier, D. (2022). Editorial: Research on Data Science Education. Statistics Education Research Journal, 21(2), Article 1. https://doi.org/10.52041/serj.v21i2.606
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2022 | Journal Article | LibreCat-ID: 35718
Biehler, R., Langlotz, H., & Zappe, W. (2022). Alles normal?! Daten auf Normalverteilung prüfen–mit schulischen Mitteln. Mathematik Lehren, 2022(232), 41–45.
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2022 | Journal Article | LibreCat-ID: 35926
Biehler, R., & Griese, B. (2022). Modellieren im Stochastikunterricht: Annahmen hinterfragen, Ergebnisse validieren. Mathematik Lehren, 2022(232), 2–6.
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