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Dröse J, Neugebauer P, Delucchi Danhier R, Mertins B. Eye-Tracking Studie zu Textaufgaben in Klasse 5: Bemerken und Interpretieren syntaktischer Strukturen. In: Kleine P, Graulich N, Kuhn J, Schindler M, eds. Eye-Tracking in der Mathematik- und Naturwissenschaftsdidaktik. Forschung und Praxis. ; 2022:209-225. doi:https://doi.org/10.1007/978-3-662-63214-7
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Prediger S, Dröse J, Stahnke R, Ademmer C. Teacher expertise for fostering at-risk students’ understanding of basic concepts: conceptual model and evidence for growth. Journal of Mathematics Teacher Education. Published online 2022. doi:https://doi.org/10.1007/s10857-022-09538-3
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Dröse J, Griese B, Wessel L. Prosepctive teachers‘ diagnostic judgements on students’ under- standing of conditional probabilities. In: Twelfth Congress of the European Society for Research in Mathematics Education (CERM). ; 2022.
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Dröse J, Prediger S. Prospective Teachers’ Diagnostic Thinking on Students’ Understanding of Multi-Digit Multiplication: A Content-Related Analysis on Unpacking of Knowledge Elements. Journal für Mathematik-Didaktik. Published online 2022. doi:10.1007/s13138-022-00214-w
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Dröse J, Wessel L. Prospective Teachers‘ Competence of Fostering Students’ Understanding in Script Writing Task. In: Fernandez C, Llinares S, Gutiérrez A, Planas N, eds. Proceedings of the 45th Conference of the International Group for the Psychology of Mathematics Education. PME. ; 2022.
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Werth G. Neue Wege im mathematischen Unterricht - Auf den Spuren Mathilde Vaertings. In: Beiträge zum Mathematikunterricht. WTM; 2022. doi:https://doi.org/10.37626/GA9783959872089.0
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Malik SN, Rezat S. Linguistic features of word problems that cause difficulties for learners across the curriculum: A literature review. In: Proceedings on the Twelfth Congress on the European Society for Research in Mathematics Education (CERME 12). ERME / Free University of Bozen-Bolzano; 2022.
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Rezat S, Malik SN, Leifeld M. Scaffolding Close Reading of Mathematical Text in Pre-service Primary Teacher Education at the Tertiary Level: Design and Evaluation. International Journal of Science and Mathematics Education. 2022;20():215-236. doi:10.1007/s10763-022-10309-y
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Dröse J, Griese B, Wessel L. Prospective teachers’ diagnostic judgments on students’ understanding of conditional probabilities. In: Twelfth Congress of the European Society for Research in Mathematics Education (CERM). ; 2022.
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Dellori A, Wessel L. Entwicklung und Erprobung von professionsorientierten Lernumgebungen zur Wissensvernetzung in der Algebra. Beiträge zum Mathematikunterricht 2022. Published online 2022:665-668. doi:10.17877/DE290R-23598
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Dellori A, Wessel L. Design principles for intertwining local and nonlocal mathematics - The case of relating registers and representations in abstract algebra. In: Trigueros M, Barquero B, Hochmuth R, Peters J, eds. Proceedings of INDRUM2022. ; 2022:572-573.
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Dellori A, Wessel L. Pre-service Teachers’ Professional Development: Relating Abstract Algebra and School Algebra. In: Karunakaran SS, Higgins A, eds. Proceedings of the 24th Annual Conference on Research in Undergraduate Mathematics Education. MA; 2022:1177.
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Wessel L, Dröse J. Schreiben will gelernt sein: Schreiblerngelegenheiten adaptiv gestalten. mathematik lehren. 2022;233:33-36.
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Nieszporek R, Griese B, Biehler R. Facilitators’ Orientations Towards Learning Goals, Perceived Challenges, and Teaching Resources for a PD Course on Conditional Probability. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, 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. doi:10.52041/iase.icots11.t4b2
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Biehler R. Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, 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. doi:10.52041/iase.icots11.t1a2
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Biehler R, De Veaux R, Engel J, Kazak S, Frischemeier D. Editorial: Research on Data Science Education. Statistics Education Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.606
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Biehler R, Langlotz H, Zappe W. Alles normal?! Daten auf Normalverteilung prüfen–mit schulischen Mitteln. mathematik lehren. 2022;2022(232):41–45.
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Biehler R, Griese B. Modellieren im Stochastikunterricht: Annahmen hinterfragen, Ergebnisse validieren. mathematik lehren. 2022;2022(232):2–6.
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Fleischer Y, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.61
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