C. Offen and S. Ober-Blöbaum, “Symplectic integration of learned Hamiltonian systems,”10.1063/5.0065913__Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 32(1), 2022, doi:10.1063/5.0065913 .

J. Dröse, “Verstehensgrundlagen diagnostizieren - Diagnostisches Denken von drei Professionalisierungsgruppen,” 2022.

L. M. Graf, U. Häsel-Weide, M. Nührenbörger, and K. Höveler, “Lernwege von fachfremd unterrichtenden Lehrkräften zur Ablösung vom zählenden Rechnen,” in Beiträge zum Mathematikunterricht 2022 - 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik, Frankfurt am Main, 2022, pp. 773–776.

I. Schwerin, “Verdoppeln und Halbieren im 2. Schuljahr - Vorgehensweisen und Verständnis,” in Beiträge zum Mathematikunterricht 2022 - 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik, Frankfurt am Main, 2022, pp. 401–404.

J. Dröse, P. Neugebauer, R. Delucchi Danhier, and B. Mertins, “Eye-Tracking Studie zu Textaufgaben in Klasse 5: Bemerken und Interpretieren syntaktischer Strukturen,” in Eye-Tracking in der Mathematik- und Naturwissenschaftsdidaktik. Forschung und Praxis, P. Kleine, N. Graulich, J. Kuhn, and M. Schindler, Eds. 2022, pp. 209–225.

S. Prediger, J. Dröse, R. Stahnke, and C. Ademmer, “Teacher expertise for fostering at-risk students’ understanding of basic concepts: conceptual model and evidence for growth,”https://doi.org/10.1007/s10857-022-09538-3__Journal of Mathematics Teacher Education, 2022, doi:https://doi.org/10.1007/s10857-022-09538-3 .

J. Dröse, B. Griese, and L. Wessel, “Prosepctive teachers‘ diagnostic judgements on students’ under- standing of conditional probabilities,” 2022.

N. Vertovec, S. Ober-Blöbaum, and K. Margellos, “Verification of safety critical control policies using kernel methods,” London, 2022, pp. 1870–1875.

J. Dröse and S. Prediger, “Prospective Teachers’ Diagnostic Thinking on Students’ Understanding of Multi-Digit Multiplication: A Content-Related Analysis on Unpacking of Knowledge Elements,”10.1007/s13138-022-00214-w__Journal für Mathematik-Didaktik, 2022, doi:10.1007/s13138-022-00214-w .

J. Dröse and L. Wessel, “Prospective Teachers‘ Competence of Fostering Students’ Understanding in Script Writing Task,” in Proceedings of the 45th Conference of the International Group for the Psychology of Mathematics Education. PME, 2022.

S. Barkhofen, P. Schütte, and T. Weich, “Semiclassical formulae For Wigner distributions,”10.1088/1751-8121/ac6d2b__Journal of Physics A: Mathematical and Theoretical, vol. 55, no. 24, Art. no. 244007, 2022, doi:10.1088/1751-8121/ac6d2b .

M. Hoffmann, Von der Axiomatik bis zur Schnittstellenaufgabe: Entwicklung und Erforschung eines ganzheitlichen Lehrkonzepts für eine Veranstaltung Geometrie für Lehramtsstudierende. 2022.

K.-U. Bux, J. Hilgert, and T. Weich, “Poisson transforms for trees of bounded degree,”10.4171/jst/414__Journal of Spectral Theory, vol. 12, no. 2, pp. 659–681, 2022, doi:10.4171/jst/414 .

J. Hilgert, T. Weich, and K.-U. Bux, “Poisson transforms for trees of bounded degree,” J. of Spectral Theory, vol. 12, pp. 659–681, 2022.

J. Hilgert, “Ethan D. Bolker und Maura B. Mast: Common Sense Mathematics, Second Edition. AMS/MAA Press 2021,”10.1007/s00591-021-00314-7__Mathematische Semesterberichte, vol. 69. pp. 151–153, 2022, doi:10.1007/s00591-021-00314-7 .

H. Garcke, B. Kovács, and D. Trautwein, “Viscoelastic Cahn–Hilliard models for tumor growth,”10.1142/s0218202522500634__Mathematical Models and Methods in Applied Sciences, vol. 32, no. 13, pp. 2673–2758, 2022, doi:10.1142/s0218202522500634 .

C. M. Elliott, H. Garcke, and B. Kovács, “Numerical analysis for the interaction of mean curvature flow and diffusion on closed surfaces,”10.1007/s00211-022-01301-3__Numerische Mathematik, vol. 151, no. 4, pp. 873–925, 2022, doi:10.1007/s00211-022-01301-3 .

J. Nick, B. Kovács, and C. Lubich, “Time-dependent electromagnetic scattering from thin layers,”10.1007/s00211-022-01277-0__Numerische Mathematik, vol. 150, no. 4, pp. 1123–1164, 2022, doi:10.1007/s00211-022-01277-0 .

B. Kovács and B. Li, “Maximal regularity of backward difference time discretization for evolving surface PDEs and its application to nonlinear problems,”10.1093/imanum/drac033__IMA Journal of Numerical Analysis, 2022, doi:10.1093/imanum/drac033 .

R. Altmann, B. Kovács, and C. Zimmer, “Bulk–surface Lie splitting for parabolic problems with dynamic boundary conditions,”10.1093/imanum/drac002__IMA Journal of Numerical Analysis, vol. 43, no. 2, pp. 950–975, 2022, doi:10.1093/imanum/drac002 .

P. Csomós, B. Farkas, and B. Kovács, “Error estimates for a splitting integrator for abstract semilinear boundary coupled systems,”10.1093/imanum/drac079__IMA Journal of Numerical Analysis, 2022, doi:10.1093/imanum/drac079 .

C. A. Beschle and B. Kovács, “Stability and error estimates for non-linear Cahn–Hilliard-type equations on evolving surfaces,”10.1007/s00211-022-01280-5__Numerische Mathematik, vol. 151, no. 1, pp. 1–48, 2022, doi:10.1007/s00211-022-01280-5 .

J. Bohn, M. Feischl, and B. Kovács, “FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation,”10.1515/cmam-2022-0145__Computational Methods in Applied Mathematics, vol. 23, no. 1, pp. 19–48, 2022, doi:10.1515/cmam-2022-0145 .

G. Werth, “Neue Wege im mathematischen Unterricht - Auf den Spuren Mathilde Vaertings,”https://doi.org/10.37626/GA9783959872089.0__presented at the 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik, Frankfurt am. Main, 2022, doi:https://doi.org/10.37626/GA9783959872089.0 .

S. N. Malik and S. Rezat, “Linguistic features of word problems that cause difficulties for learners across the curriculum: A literature review,” 2022.

S. Rezat, S. N. Malik, and M. Leifeld, “Scaffolding Close Reading of Mathematical Text in Pre-service Primary Teacher Education at the Tertiary Level: Design and Evaluation,”10.1007/s10763-022-10309-y__International Journal of Science and Mathematics Education, vol. 20, no. , pp. 215–236, 2022, doi:10.1007/s10763-022-10309-y .

J. Dröse, B. Griese, and L. Wessel, “Prospective teachers’ diagnostic judgments on students’ understanding of conditional probabilities,” presented at the TwelfthCongressoftheEuropeanSocietyforResearchin Mathematics Education(CERM), Bozen-Bolzano,Italy, 2022.

A. Dellori and L. Wessel, “Entwicklung und Erprobung von professionsorientierten Lernumgebungen zur Wissensvernetzung in der Algebra,”10.17877/DE290R-23598__Beiträge zum Mathematikunterricht 2022, pp. 665–668, 2022, doi:10.17877/DE290R-23598 .

A. Dellori and L. Wessel, “Design principles for intertwining local and nonlocal mathematics - The case of relating registers and representations in abstract algebra,” in Proceedings of INDRUM2022, M. Trigueros, B. Barquero, R. Hochmuth, and J. Peters, Eds. 2022, pp. 572–573.

A. Dellori and L. Wessel, “Pre-service Teachers’ Professional Development: Relating Abstract Algebra and School Algebra,” in Proceedings of the 24th Annual Conference on Research in Undergraduate Mathematics Education, S. S. Karunakaran and A. Higgins, Eds. Boston: MA, 2022, p. 1177.

L. Wessel and J. Dröse, “Schreiben will gelernt sein: Schreiblerngelegenheiten adaptiv gestalten,” mathematik lehren, vol. 233, pp. 33–36, 2022.

R. Nieszporek, B. Griese, and R. Biehler, “Facilitators’ Orientations Towards Learning Goals, Perceived Challenges, and Teaching Resources for a PD Course on Conditional Probability,” in Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan, Eds. Rosario, Argentina: International Association for Statistical Education, 2022.

R. Biehler, “Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications,”10.52041/iase.icots11.t1a2__in Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, 2022, doi:10.52041/iase.icots11.t1a2 .

R. Biehler, R. De Veaux, J. Engel, S. Kazak, and D. Frischemeier, “Editorial: Research on Data Science Education,”10.52041/serj.v21i2.606__Statistics Education Research Journal, vol. 21, no. 2, Art. no. 1, 2022, doi:10.52041/serj.v21i2.606 .

R. Biehler, H. Langlotz, and W. Zappe, “Alles normal?! Daten auf Normalverteilung prüfen–mit schulischen Mitteln,” mathematik lehren, vol. 2022, no. 232, pp. 41–45, 2022.

R. Biehler and B. Griese, “Modellieren im Stochastikunterricht: Annahmen hinterfragen, Ergebnisse validieren,” mathematik lehren, vol. 2022, no. 232, pp. 2–6, 2022.

Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,”10.52041/serj.v21i2.61__Statistics Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi:10.52041/serj.v21i2.61 .

B. Griese, R. Nieszporek, and R. Biehler, “Facilitators’ views on content goals, learning obstacles, and teaching resources in reference to conditional probability,” presented at the Twelfth Congress of the European Society for Research in Mathematics Education (CERM), Bozen-Bolzano, Italy, 2022.

E. Lankeit and R. Biehler, “Mathematik-Vorkurse zur Vorbereitung auf das Studium – Zielsetzungen und didaktische Konzepte,” in Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse, R. Hochmuth, R. Biehler, M. Liebendörfer, and N. Schaper, Eds. Berlin, Heidelberg: Springer, 2022, pp. 117–141.

M. Liebendörfer et al., “The role of learning strategies for performance in mathematics courses for engineers,”10.1080/0020739x.2021.2023772__International Journal of Mathematical Education in Science and Technology, vol. 53, no. 5, pp. 1133–1152, 2022, doi:10.1080/0020739x.2021.2023772 .

R. Hochmuth, R. Biehler, M. Liebendörfer, and N. Schaper, Eds., Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse. Berlin, Heidelberg: Springer, 2022.

J. Ridgway, P. Campos, and R. Biehler, “Data Science, Statistics, and Civic Statistics: Education for a Fast Changing World,” in Statistics for Empowerment and Social Engagement, Cham: Springer International Publishing, 2022.

T. Bauer, R. Biehler, and E. Lankeit, “Mini-Aufgaben in mathematischen Übungsgruppen zur Analysis: Charakteristika von Aufgaben und Abstimmungsverhalten von Studierenden,” in Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse, R. Hochmuth, R. Biehler, M. Liebendörfer, and N. Schaper, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022, pp. 515–543.

E. Lankeit and R. Biehler, “Vorkurse und ihre Wirkungen im Übergang Schule – Hochschule,” in Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse, R. Hochmuth, R. Biehler, M. Liebendörfer, and N. Schaper, Eds. Berlin, Heidelberg: Springer, 2022, pp. 293–363.

M. Liebendörfer et al., “Enriching videos with interactive questions to enhance students’ cognitive activity: concept and implementation,” presented at the Twelfth Congress of the European Society for Research in Mathematics Education (CERM), Bozen-Bolzano, Italy, 2022.

M. Schürmann et al., Dokumentation der Erhebungsinstrumente des Projekts WiGeMath. LibreCat University, 2022.

R. Hochmuth et al., “Einführung in das WiGeMath-Projekt: Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase,” in Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse, H. Reinhard, R. Biehler, M. Liebendörfer, and N. Schaper, Eds. Berlin, Heidelberg: Springer, 2022, pp. 3–31.

M. Liebendörfer et al., “Ein Rahmenmodell für hochschuldidaktische Maßnahmen in der Mathematik,” in Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse, R. Hochmuth, R. Biehler, M. Liebendörfer, and N. Schaper, Eds. Berlin, Heidelberg: Springer, 2022, pp. 33–65.

Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter Notebooks for Teaching, Learning, and Doing Data Science,”10.52041/iase.icots11.t10e3__in Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, 2022, doi:10.52041/iase.icots11.t10e3 .

L. Wessel and T. Leuders, “Profession-Specific Curriculum Design in Mathematics Teacher Education: Connecting Disciplinary Practice to the Learning of Group Theory,” in Practice-Oriented Research in Tertiary Mathematics Education, R. Biehler, M. Liebendörfer, G. Gueudet, C. Rasmussen, and C. Winslow, Eds. Cham: Springer International Publishing, 2022, pp. 349–368.

S. Podworny, D. Frischemeier, and R. Biehler, “Civic Statistics for Prospective Teachers: Developing Content and Pedagogical Content Knowledge Through Project Work,” in Statistics for Empowerment and Social Engagement, Cham: Springer International Publishing, 2022.

D. Frischemeier, S. Podworny, and R. Biehler, “Data Visualization Packages for Non-inferential Civic Statistics in High School Classrooms,” in Statistics for Empowerment and Social Engagement, Cham: Springer International Publishing, 2022, pp. 199–236.

S. Podworny, Y. Fleischer, D. Stroop, and R. Biehler, “An example of rich, real and multivariate survey data for use in school,” presented at the Twelfth Congress of the European Society for Research in Mathematics Education (CERM), Bozen-Bolzano, Italy, 2022.

T. Kolbe and L. Wessel, “Self-regulated learning in a mathematics course for engineers in the first semester: insights into students reported resource management and cognitive strategies,” in Fourth conference of the International Network for Didactic Research in University Mathematics, Hannover, 2022, pp. 632–641.

M. Schürmann et al., “Evaluation von Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen,” in Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse, R. Hochmuth, R. Biehler, M. Liebendörfer, and N. Schaper, Eds. Berlin, Heidelberg: Springer, 2022, pp. 67–113.

J. Schönherr, S. Schukajlow, J. Blomberg, and C. Leopold, “Effects of drawing instructions and strategic knowledge on mathematical modeling performance: Mediated by the use of the drawing strategy,”10.1002/acp.3930__Applied Cognitive Psychology, , vol. 36, no. 2, pp. 402–417, 2022, doi:10.1002/acp.3930 .

J. Schönherr, S. Schukajlow, and C. Leopold, “Drawing instructions, strategic knowledge, strategy-based motivation, and students’ use of drawings,” in Proceedings of the 45th PME Conference, 2022, vol. 3, pp. 347–354.

F. Nüske, P. Gelß, S. Klus, and C. Clementi, “Tensor-based computation of metastable and coherent sets,”10.1016/j.physd.2021.133018__Physica D: Nonlinear Phenomena, Art. no. 133018, 2021, doi:10.1016/j.physd.2021.133018 .

S. Klus, P. Gelß, F. Nüske, and F. Noé, “Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry,”10.1088/2632-2153/ac14ad__Machine Learning: Science and Technology, Art. no. 045016, 2021, doi:10.1088/2632-2153/ac14ad .

C. Goelz et al., “Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults,” Cognitive Neurodynamics, 2021.

M. B. Berkemeier and S. Peitz, “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models,” Mathematical and Computational Applications, vol. 26, no. 2, 2021.

F. Nüske, P. Koltai, L. Boninsegna, and C. Clementi, “Spectral Properties of Effective Dynamics from Conditional Expectations,” Entropy, 2021.

B. Gebken and S. Peitz, “An efficient descent method for locally Lipschitz multiobjective optimization problems,” Journal of Optimization Theory and Applications, vol. 188, pp. 696–723, 2021.

B. Gebken and S. Peitz, “Inverse multiobjective optimization: Inferring decision criteria from data,” Journal of Global Optimization, vol. 80, pp. 3–29, 2021.

R. Gerlach, The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems. 2021.

B. Delarue and P. Ramacher, “Asymptotic expansion of generalized Witten integrals for Hamiltonian circle actions,”10.4310/JSG.2021.v19.n6.a1__Journal of Symplectic Geometry, vol. 19, no. 6, pp. 1281–1337, 2021, doi:10.4310/JSG.2021.v19.n6.a1 .

J. Li, Y. Ma, Z. Miao, Y. Shi, W. Wang, and C.-Q. Zhang, “Nowhere-zero 3-flows in toroidal graphs,”10.1016/j.jctb.2021.11.001__Journal of Combinatorial Theory, Series B, vol. 153, pp. 61–80, 2021, doi:10.1016/j.jctb.2021.11.001 .

H. Glöckner and G. A. Willis, “Decompositions of locally compact contraction groups, series and extensions,”https://doi.org/10.1016/j.jalgebra.2020.11.007__Journal of Algebra, vol. 570, pp. 164–214, 2021, doi:https://doi.org/10.1016/j.jalgebra.2020.11.007 .

H. Glöckner and G. A. Willis, “Locally pro-p contraction groups are nilpotent,”10.1515/crelle-2021-0050__J. Reine Angew. Math., vol. 781, pp. 85–103, 2021, doi:10.1515/crelle-2021-0050 .

H. Glöckner, “Direct limits of regular Lie groups,”10.1002/mana.201900073__Mathematische Nachrichten, vol. 294, no. 1, pp. 74–81, 2021, doi:10.1002/mana.201900073 .

H. Glöckner, “Contraction groups and the big cell for endomorphisms of Lie groups over  local fields,” arXiv:2101.02981. 2021.

S. Ober-Blöbaum and M. Vermeeren, “Superconvergence of galerkin variational integrators,” in 7th IIFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control LHMNC, 2021, vol. 54(19), pp. 327–333.

S. Ober-Blöbaum and S. Peitz, “Explicit multiobjective model predictive control for nonlinear systems  with symmetries,”10.1002/rnc.5281__International Journal of Robust and Nonlinear Control, vol. 31(2), pp. 380–403, 2021, doi:10.1002/rnc.5281 .

W. Djema, L. Giraldi, S. Maslovskaya, and O. Bernard, “Turnpike features in optimal selection of species represented by quota models,”10.1016/j.automatica.2021.109804__Automatica, vol. 132, Art. no. 109804, 2021, doi:10.1016/j.automatica.2021.109804 .

P. Schütte, T. Weich, and B. Delarue, “Resonances and weighted zeta functions for obstacle scattering via smooth models.” 2021.

M. Hoffmann, “Rezension: Hendrik Kasten und Denis Vogel: Grundlagen der ebenen Geometrie – Eine zugängliche aber exakte Einführung in die ebene Geometrie,”10.1007/s00591-021-00299-3__Mathematische Semesterberichte, vol. 68. pp. 295–297, 2021, doi:10.1007/s00591-021-00299-3 .

M. Hoffmann, “Einsatz von Schnittstellenaufgaben in Mathematikveranstaltungen – Praxisbeispiele aus der Universität Paderborn,” in  Lehrinnovationen in der Hochschulmathematik.  praxisrelevant – didaktisch fundiert – forschungsbasiert, R. Biehler, A. Eichler, R. Hochmuth, S. Rach, and N. Schaper, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021, pp. 179–204.

B. Küster and T. Weich, “Quantum-Classical Correspondence on Associated Vector Bundles Over Locally Symmetric Spaces,”10.1093/imrn/rnz068__International Mathematics Research Notices, vol. 2021, no. 11, pp. 8225–8296, 2021, doi:10.1093/imrn/rnz068 .

U. Häsel-Weide and M. Nührenbürger, “Inklusive Praktiken im Mathematikunterricht. Empirische Analysen von Unterrichtsdiskursen in Einführungsphasen.,” Zeitschrift für Grundschulforschung (ZfG), no. 14, pp. 49–65, 2021.

U. Häsel-Weide and C. Schöttler, “Das Dezimalsystem verstehen – Bedeutung, Erkenntnisse, Anregungen,” Zeitschrift für Mathematikdidaktik in Forschung &; Praxis (ZMFP), no. 2, 2021.

J. Li, Y. Ma, Y. Shi, W. Wang, and Y. Wu, “On 3-flow-critical graphs,”10.1016/j.ejc.2021.103451__European Journal of Combinatorics, vol. 100, Art. no. 103451, 2021, doi:10.1016/j.ejc.2021.103451 .

M. Kolb, T. Weich, and L. Wolf, “Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature,” Annales Henri Poincaré , vol. 23, no. 4, pp. 1283–1296, 2021.

T. Weich and J. Budde, “Wave Front Sets of Nilpotent Lie Group Representations,” arXiv:2103.02968. 2021.

T. Richthammer and M. Fiedler, “A lower bound on the displacement of particles in 2D Gibbsian particle systems,”https://doi.org/10.1016/j.spa.2020.10.003__Stochastic Processes and their Applications, vol. 132, pp. 1–32, 2021, doi:https://doi.org/10.1016/j.spa.2020.10.003 .

M. Hanusch, “Symmetries of analytic curves,”10.1016/j.difgeo.2020.101687__Differential Geometry and its Applications, vol. 74, Art. no. 101687, 2021, doi:10.1016/j.difgeo.2020.101687 .

D. Frischemeier, S. Podworny, and R. Biehler, “Integration fachwissenschaftlicher und fachdidaktischer Komponenten in der Lehramtsausbildung Mathematik Grundschule am Beispiel einer Veranstaltung zur Leitidee eDaten, Häufigkeit und Wahrscheinlichkeit“,” in Konzepte und Studien Lehrinnovationen in der Hochschulmathematik . Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematikzur Hochschuldidaktik und Lehrerbildung Mathematik, R. Biehler, A. Eichler, R. Hochmuth, S. Rach, and N. Schaper, Eds. Berlin, Heidelberg: Springer Spektrum, 2021, pp. 2273249.

S. Rach and M. Liebendörfer, “Die Bedeutung affektiver Merkmale beim Mathematiklernen,” in Beiträge zum Mathematikunterricht 2021 vom GDM-Monat 2021 der Gesellschaft für Didaktik der Mathematik (GDM) (1.-25. März 2021), K. Hein, C. Heil, S. Ruwisch, and S. Prediger, Eds. Münster: WTM-Verlag für wissenschaftliche Texte und Medien, 2021, pp. 247–248.

S. Büchele, M. Liebendörfer, and E. Lankeit, “Increasing the effect of a remedial mathematics course by switching to an online format during the COVID-19 crisis: evidence from a German university,”10.1093/teamat/hrab013__Teaching Mathematics and its Applications: An International Journal of the IMA, vol. 40, no. 4, pp. 478–496, 2021, doi:10.1093/teamat/hrab013 .

L. Gildehaus, R. Göller, and M. Liebendörfer, “Gymnasiales Lehramt Mathematik studieren – eine Übersicht zur Studienorganisation in Deutschland,” Mitteilungen der Gesellschaft für Didaktik der Mathematik, vol. 47, no. 111, pp. 27–32, 2021.

B. Vajen, L. Gildehaus, M. Liebendörfer, and C. Wolf, “Mathematisierung als Herausforderung für die politische Bildung,” in Schriftenreihe der DVPB. Standortbestimmung Politische Bildung: Gesellschaftspolitische Herausforderungen, Zivilgesellschaft und das vermeintliche Neutralitätsgebot, 2021, pp. 188–200.

R. Göller, L. Gildehaus, M. Liebendörfer, and J. Steuding, “Prüfungsformate als Ansatzpunkt gendersensibler universitärer Lehre im Fach Mathematik,” in Mathematik und Gender: Berichte und Beiträge des Arbeitskreise Frauen und Mathematik, vol. 5, A. Blunck and R. Motzer, Eds. Franzbecker, 2021, pp. 59–76.

I. Haak, L. Gildehaus, and M. Liebendörfer, “Genese und Funktionen von Lerngruppen in der Studieneingangsphase,” in Naturwissenschaftlicher Unterricht und Lehrerbildung im Umbruch?, 2021, pp. 89–92.

L. Kempen and M. Liebendörfer, “University students’ fully digital study of mathematics: an identification of student-groups via their resources usage and a characterization by personal and affective characteristics,”10.1093/teamat/hrab020__Teaching Mathematics and its Applications: An International Journal of the IMA, vol. 40, no. 4, pp. 436–454, 2021, doi:10.1093/teamat/hrab020 .

M. Liebendörfer, R. Hochmuth, J. Rode, and S. Schukajlow, “The Mathematical Beliefs and Interest Development of Pre-Service Primary Teachers,” in Interim Proceedings of the 44th Conference of the International Group for the Psychology of Mathematics Education, 2021, vol. 3, pp. 198–205.

R. Krapf and M. Liebendörfer, “Was bewirkt die Pflichtabgabe von Übungsaufgaben in der Hochschulmathematik? – Ein empirischer Vergleich,” mathematica didactica, vol. 2, no. 44, pp. 1–17, 2021.

M. Winkler, “Global weak solutions in a three-dimensional Keller-Segel-Navier-Stokes system with gradient-dependent flux limitation.,” Nonlinear Analysis: Real World Applications, vol. 59, Art. no. 103257, 2021.

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M. Winkler, “Can rotational fluxes impede the tendency toward spatial homogeneity in nutrient taxis (-Stokes) systems?,” International Mathematics Research Notices, vol. 2021, pp. 8106–8152, 2021.

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