L. Kempen, S. Krämer, and R. Biehler, “Investigating high school graduates’ personal meaning of the notion of ‘mathematical proof,’” in Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020), T. Hausberger, M. Bosch, and F. Chelloughi, Eds. Bizerte, Tunisia: University of Carthage and INDRUM, 2020, pp. 358–367.
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E. Lankeit, T. Bauer, and R. Biehler, “Votingfragen in den Übungen zur Analysis – Wirkung verschiedener Einsatzszenarien,” in Beiträge zum Mathematikunterricht 2020, H.-S. Siller, W. Weigel, and J. F. Wörler, Eds. Münster: WTM-Verlag, 2020, pp. 1361–1364.
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DOI: 10.17877/DE290R-21396

M. Schürmann et al., “Mathematics learning support centres in Germany—an overview,”10.1093/teamat/hraa007__Teaching Mathematics and its Applications: An International Journal of the IMA, vol. 40, no. 2, pp. 99–113, 2020, doi:10.1093/teamat/hraa007 .
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DOI: 10.1093/teamat/hraa007

M. Liebendörfer et al., “The role of learning strategies for performance in mathematics courses for engineers,” in Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020), T. Hausberger, M. Bosch, and F. Chelloughi, Eds. Bizerte, Tunisia: University of Carthage and INDRUM, 2020.
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R. Biehler et al., “studiVEMINTvideos – Mathematische Lernvideos zur Studienvorbereitung und Unterstützung im ersten Studienjahr,” in Beiträge zum Mathematikunterricht 2020, H.-S. Siller, W. Weigel, and J. F. Wörler, Eds. Münster: WTM, 2020.
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DOI: 10.17877/DE290R-21234

R. Biehler et al., “Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education,” in New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), 2020.
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L. Budde et al., “Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP,” in New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020, P. Arnold, Ed. Voorborg, The Netherlands: ISI/IASE, 2020.
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M. Liebendörfer et al., “LimSt – Ein Fragebogen zur Erhebung von Lernstrategien im mathematikhaltigen Studium,”10.1007/s13138-020-00167-y__Journal für Mathematik-Didaktik, 2020, doi:10.1007/s13138-020-00167-y .
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DOI: 10.1007/s13138-020-00167-y

M. Schürmann et al., “Chancen und Möglichkeiten eines Netzwerks von Mathematischen Lernzentren in Deutschland - Bericht zum digitalen Lernzentrumsworkshop am 22.10.2020,” dghd-Newsletter, vol. 4/2020, pp. 24–26, 2020.
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M. Schürmann et al., “Ein Kurzbericht aus dem Forschungsprojekt WiGeMath-Lernzentren als Unterstützungsmaßnahme für mathematikbezogenes Lernen in der Studieneingangsphase,” dghd-Newsletter, vol. 01/2020, pp. 25–29, 2020.
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E. Lankeit and R. Biehler, “Wirkungen von Mathematikvorkursen auf Einstellungen und Selbstkonzepte von Studierenden,” in Beiträge zum Mathematikunterricht 2018, Fachgruppe Didaktik der Mathematik der Universität Paderborn, Ed. Münster: WTM-Verlag, 2018, pp. 1135–1138.
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