The meaning landscape of the concept of the total derivative in multivariable real analysis textbooks: an analysis based on a new model of meaning
E. Lankeit, R. Biehler, ZDM – Mathematics Education (2024).
LibreCat: /record/54144
DOI: 10.1007/s11858-024-01584-w

Student Teachers ’ Knowledge of Congruence before a University Course on Geometry
M. Hoffmann, R. Biehler, in: M. Trigueros, B. Barquero, R. Hochmuth, J. Peters (Eds.), Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), University of Hannover and INDRUM., Hannover, 2023.
LibreCat: /record/31849

Implementing profession orientation as a design principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives on interface activities in the context of a geometry course
M. Hoffmann, R. Biehler, ZDM – Mathematics Education (2023).
LibreCat: /record/45786
DOI: 10.1007/s11858-023-01505-3

Supporting Students in Developing Adequate Concept Images and Definitions at University: The Case of the Convergence of Sequences
L. Ostsieker, R. Biehler, in: Practice-Oriented Research in Tertiary Mathematics Education, Springer International Publishing, Cham, 2023, pp. 181–201.
LibreCat: /record/35697
DOI: 10.1007/978-3-031-14175-1_9

Analyzing the Interface Between Mathematics and Engineering in Basic Engineering Courses
J. Kortemeyer, R. Biehler, in: Practice-Oriented Research in Tertiary Mathematics Education, Springer International Publishing, Cham, 2023, pp. 669–692.
LibreCat: /record/35678
DOI: 10.1007/978-3-031-14175-1_32

The use of integrals for accumulation and mean values in basic electrical engineering courses
J. Kortmeyer, R. Biehler, in: T. Dreyfus, A.S. Gonzalez-Martin, E. Nardi, J. Monaghan, P.W. Thompson (Eds.), The Learning and Teaching of Calculus Across Disciplines – Proceedings of the Second Calculus Conference, MatRIC, 2023, pp. 121–124.
LibreCat: /record/48480

Stochastik: Leitidee Daten und Zufall
R. Biehler, J. Engel, D. Frischemeier, in: R. Bruder, A. Büchter, H. Gasteiger, B. Schmidt-Thieme, HG. Weigand (Eds.), Handbuch Der Mathematikdidaktik, Springer, Berlin, Heidelberg, 2023.
LibreCat: /record/47416
DOI: 10.1007/978-3-662-66604-3_8

Impacts of Digitalization on Content and Goals of Statistics Education
R. Biehler, D. Frischemeier, R. Gould, M. Pfannkuch, in: B. Pepin, G. Gueudet, J. Choppin (Eds.), Handbook of Digital Resources in Mathematics Education, Springer International Publishing, Cham, 2023.
LibreCat: /record/48042

Von Glückstal (Ukraine) nach Frankfurt: Problemlösen, Algorithmen, Stochastik – Nachruf auf Arthur Engel
R. Biehler, K. Krüger, GDM-Mitteilungen (2023) 57–65.
LibreCat: /record/49049

Practice-Oriented Research in Tertiary Mathematics Education – An Introduction
R. Biehler, M. Liebendörfer, G. Gueudet, C. Rasmussen, C. Winsløw, in: Practice-Oriented Research in Tertiary Mathematics Education, Springer International Publishing, Cham, 2023.
LibreCat: /record/35669
DOI: 10.1007/978-3-031-14175-1_1

Framing Goals of Mathematics Support Measures
M. Liebendörfer, C. Büdenbender-Kuklinski, E. Lankeit, M. Schürmann, R. Biehler, N. Schaper, in: Practice-Oriented Research in Tertiary Mathematics Education, Springer International Publishing, Cham, 2023, pp. 91–117.
LibreCat: /record/35681
DOI: 10.1007/978-3-031-14175-1_5

Practice-Oriented Research in Tertiary Mathematics Education
R. Biehler, M. Liebendörfer, G. Gueudet, C. Rasmussen, C. Winsløw, eds., Practice-Oriented Research in Tertiary Mathematics Education, Springer International Publishing, Cham, 2023.
LibreCat: /record/46157
DOI: 10.1007/978-3-031-14175-1

Lernvideos und ihre Erstellung - Das Projekt studiVEMINTvideos
R. Biehler, M. Liebendörfer, A. Schmitz, Mitteilungen der Gesellschaft für Didaktik der Mathematik 114 (2023) 8–12.
LibreCat: /record/43504

Schnittstellenaufgaben in der Analysis I zur Verknüpfung von Schul- und Hochschulmathematik - Aufgabenbeispiele und Ergebnisse einer Evaluationsstudie.
M. Hoffmann, R. Biehler, in: S. Halverscheid, I. Kersten, B. Schmidt-Thieme (Eds.),  Bedarfsgerechte fachmathematische Lehramtsausbildung. Analyse, Zielsetzungen und Konzepte unter heterogenen Voraussetzungen , Springer Spektrum, Wiesbaden, 2022, pp. 351–368.
LibreCat: /record/31367

Fachwissen als Grundlage fachdidaktischer Urteilskompetenz – Beispiele für die Herstellung konzeptueller Bezüge zwischen fachwissenschaftlicher und fachdidaktischer Lehre im gymnasialen Lehramtsstudium
R. Biehler, M. Hoffmann, in: V. Isaev, A. Eichler, F. Loose (Eds.),  Professionsorientierte Fachwissenschaft. Kohärenzstiftende Lerngelegenheiten für das Lehramtsstudium Mathematik, Springer, Berlin, Heidelberg, 2022, pp. 49–72.
LibreCat: /record/31365
DOI: 10.1007/978-3-662-63948-1_4

Facilitators’ Orientations Towards Learning Goals, Perceived Challenges, and Teaching Resources for a PD Course on Conditional Probability
R. Nieszporek, B. Griese, R. Biehler, 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, Rosario, Argentina, 2022.
LibreCat: /record/35696
DOI: 10.52041/iase.icots11.t4b2

Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications
R. Biehler, 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, 2022.
LibreCat: /record/34919
DOI: 10.52041/iase.icots11.t1a2

Editorial: Research on Data Science Education
R. Biehler, R. De Veaux, J. Engel, S. Kazak, D. Frischemeier, Statistics Education Research Journal 21 (2022).
LibreCat: /record/34920
DOI: 10.52041/serj.v21i2.606

Alles normal?! Daten auf Normalverteilung prüfen–mit schulischen Mitteln
R. Biehler, H. Langlotz, W. Zappe, Mathematik Lehren 2022 (2022) 41–45.
LibreCat: /record/35718

Modellieren im Stochastikunterricht: Annahmen hinterfragen, Ergebnisse validieren
R. Biehler, B. Griese, Mathematik Lehren 2022 (2022) 2–6.
LibreCat: /record/35926