@inproceedings{34919,
  abstract     = {{<jats:p>Fundamental ideas (Burrill &amp; Biehler, 2011) have been specified to structure the curriculum across different age levels and to focus on and revisit the most important ideas. Such ideas must be based on an epistemological analysis of the scientific domain of statistics and its applications. Because these domains are changing, fundamental ideas have to be revisited from time to time. In particular, data science and machine learning have led to new methods and applications in society that must be considered for updating fundamental ideas.</jats:p>}},
  author       = {{Biehler, Rolf}},
  booktitle    = {{Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics}},
  editor       = {{Peters, S. A. and Zapata-Cardona, L. and Bonafini, F. and Fan, A.}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications}}},
  doi          = {{10.52041/iase.icots11.t1a2}},
  year         = {{2022}},
}

@article{34920,
  abstract     = {{<jats:p>A very warm welcome to this Special Issue of the Statistics Education Research Journal (SERJ) on data science education. Our hope is to give an overview of selected theoretical thoughts and empirical studies on data science education from a statistics education research perspective. Data science education is rapidly developing but research into data science education is still in its infancy. The current issue presents a snapshot of this developing field.</jats:p>}},
  author       = {{Biehler, Rolf and De Veaux, Richard and Engel, Joachim and Kazak, Sibel and Frischemeier, Daniel}},
  issn         = {{1570-1824}},
  journal      = {{Statistics Education Research Journal}},
  keywords     = {{Education, Statistics and Probability}},
  number       = {{2}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{Editorial: Research on Data Science Education}}},
  doi          = {{10.52041/serj.v21i2.606}},
  volume       = {{21}},
  year         = {{2022}},
}

@article{35718,
  author       = {{Biehler, Rolf and Langlotz, Hubert and Zappe, Wilfried}},
  journal      = {{mathematik lehren}},
  number       = {{232}},
  pages        = {{41–45}},
  publisher    = {{Friedrich Verlag}},
  title        = {{{Alles normal?! Daten auf Normalverteilung prüfen–mit schulischen Mitteln}}},
  volume       = {{2022}},
  year         = {{2022}},
}

@article{35926,
  author       = {{Biehler, Rolf and Griese, Birgit}},
  journal      = {{mathematik lehren}},
  number       = {{232}},
  pages        = {{2–6}},
  publisher    = {{Friedrich Verlag}},
  title        = {{{Modellieren im Stochastikunterricht: Annahmen hinterfragen, Ergebnisse validieren}}},
  volume       = {{2022}},
  year         = {{2022}},
}

@inproceedings{39058,
  author       = {{Griese, Birgit and Nieszporek, Ralf and Biehler, Rolf}},
  location     = {{Bozen-Bolzano, Italy}},
  title        = {{{Facilitators’ views on content goals, learning obstacles, and teaching resources in reference to conditional probability}}},
  year         = {{2022}},
}

@inbook{42653,
  author       = {{Lankeit, Elisa and Biehler, Rolf}},
  booktitle    = {{Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse}},
  editor       = {{Hochmuth, Reinhard and Biehler, Rolf and Liebendörfer, Michael and Schaper, Niclas}},
  isbn         = {{9783662648322}},
  issn         = {{2197-8751}},
  pages        = {{117--141}},
  publisher    = {{Springer}},
  title        = {{{Mathematik-Vorkurse zur Vorbereitung auf das Studium – Zielsetzungen und didaktische Konzepte}}},
  doi          = {{10.1007/978-3-662-64833-9_4}},
  year         = {{2022}},
}

@article{35685,
  author       = {{Liebendörfer, Michael and Göller, Robin and Gildehaus, Lara and Kortemeyer, Jörg and Biehler, Rolf and Hochmuth, Reinhard and Ostsieker, Laura and Rode, Jana and Schaper, Niclas}},
  issn         = {{0020-739X}},
  journal      = {{International Journal of Mathematical Education in Science and Technology}},
  keywords     = {{Applied Mathematics, Education, Mathematics (miscellaneous)}},
  number       = {{5}},
  pages        = {{1133--1152}},
  publisher    = {{Informa UK Limited}},
  title        = {{{The role of learning strategies for performance in mathematics courses for engineers}}},
  doi          = {{10.1080/0020739x.2021.2023772}},
  volume       = {{53}},
  year         = {{2022}},
}

@book{42650,
  editor       = {{Hochmuth, Reinhard and Biehler, Rolf and Liebendörfer, Michael and Schaper, Niclas}},
  isbn         = {{9783662648322}},
  issn         = {{2197-8751}},
  publisher    = {{Springer}},
  title        = {{{Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse}}},
  doi          = {{10.1007/978-3-662-64833-9}},
  year         = {{2022}},
}

@inbook{43232,
  author       = {{Ridgway, Jim and Campos, Pedro and Biehler, Rolf}},
  booktitle    = {{Statistics for Empowerment and Social Engagement}},
  isbn         = {{9783031207471}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Data Science, Statistics, and Civic Statistics: Education for a Fast Changing World}}},
  doi          = {{10.1007/978-3-031-20748-8_22}},
  year         = {{2022}},
}

@inbook{42649,
  author       = {{Bauer, Thomas and Biehler, Rolf and Lankeit, Elisa}},
  booktitle    = {{Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse}},
  editor       = {{Hochmuth, Reinhard and Biehler, Rolf and Liebendörfer, Michael and Schaper, Niclas}},
  isbn         = {{9783662648322}},
  issn         = {{2197-8751}},
  pages        = {{515--543}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Mini-Aufgaben in mathematischen Übungsgruppen zur Analysis: Charakteristika von Aufgaben und Abstimmungsverhalten von Studierenden}}},
  doi          = {{10.1007/978-3-662-64833-9_19}},
  year         = {{2022}},
}

@inbook{42652,
  author       = {{Lankeit, Elisa and Biehler, Rolf}},
  booktitle    = {{Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse}},
  editor       = {{Hochmuth, Reinhard and Biehler, Rolf and Liebendörfer, Michael and Schaper, Niclas}},
  isbn         = {{9783662648322}},
  issn         = {{2197-8751}},
  pages        = {{293--363}},
  publisher    = {{Springer}},
  title        = {{{Vorkurse und ihre Wirkungen im Übergang Schule – Hochschule}}},
  doi          = {{10.1007/978-3-662-64833-9_12}},
  year         = {{2022}},
}

@misc{35698,
  author       = {{Schürmann, Mirko and Büdenbender-Kuklinski, C. and Lankeit, Elisa and Liebendörfer, Michael and Hochmuth, R. and Biehler, Rolf and Schaper, N.}},
  publisher    = {{LibreCat University}},
  title        = {{{Dokumentation der Erhebungsinstrumente des Projekts WiGeMath}}},
  doi          = {{10.17170/KOBRA-202205176188}},
  year         = {{2022}},
}

@inbook{42651,
  author       = {{Hochmuth, Reinhard and Biehler, Rolf and Schaper, Niclas and Liebendörfer, Michael and Büdenbender-Kuklinski, Christiane and Lankeit, Elisa and Ruge, Johanna and Schürmann, Mirko}},
  booktitle    = {{Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse}},
  editor       = {{Reinhard, Hochmuth and Biehler, Rolf and Liebendörfer, Michael and Schaper, Niclas}},
  isbn         = {{9783662648322}},
  issn         = {{2197-8751}},
  pages        = {{3--31}},
  publisher    = {{Springer}},
  title        = {{{Einführung in das WiGeMath-Projekt: Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase}}},
  doi          = {{10.1007/978-3-662-64833-9_1}},
  year         = {{2022}},
}

@inbook{42654,
  author       = {{Liebendörfer, Michael and Hochmuth, Reinhard and Biehler, Rolf and Schaper, Niclas and Büdenbender-Kuklinski, Christiane and Lankeit, Elisa and Ruge, Johanna and Schürmann, Mirko}},
  booktitle    = {{Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse}},
  editor       = {{Hochmuth, Reinhard and Biehler, Rolf and Liebendörfer, Michael and Schaper, Niclas}},
  isbn         = {{9783662648322}},
  issn         = {{2197-8751}},
  pages        = {{33--65}},
  publisher    = {{Springer}},
  title        = {{{Ein Rahmenmodell für hochschuldidaktische Maßnahmen in der Mathematik}}},
  doi          = {{10.1007/978-3-662-64833-9_2}},
  year         = {{2022}},
}

@inbook{46160,
  author       = {{Wessel, Lena and Leuders, Timo}},
  booktitle    = {{Practice-Oriented Research in Tertiary Mathematics Education}},
  editor       = {{Biehler, Rolf and Liebendörfer, Michael and Gueudet, G. and Rasmussen, C. and Winslow, C.}},
  isbn         = {{9783031141744}},
  issn         = {{1869-4918}},
  pages        = {{349--368}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Profession-Specific Curriculum Design in Mathematics Teacher Education: Connecting Disciplinary Practice to the Learning of Group Theory}}},
  doi          = {{10.1007/978-3-031-14175-1_17}},
  year         = {{2022}},
}

@inproceedings{53052,
  author       = {{Kolbe, Tim and Wessel, Lena}},
  booktitle    = {{Fourth conference of the International Network for Didactic Research in University Mathematics}},
  editor       = {{Trigueros, Maria and Baerquero, Berta and Hochmuth, Reinhard and Peters, Jana}},
  location     = {{Hannover}},
  pages        = {{632--641}},
  title        = {{{Self-regulated learning in a mathematics course for engineers in the first semester: insights into students reported resource management and cognitive strategies}}},
  year         = {{2022}},
}

@inbook{42655,
  author       = {{Schürmann, Mirko and Liebendörfer, Michael and Büdenbender-Kuklinski, Christiane and Lankeit, Elisa and Ruge, Johanna and Schaper, Niclas and Biehler, Rolf and Hochmuth, Reinhard}},
  booktitle    = {{Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse}},
  editor       = {{Hochmuth, Reinhard and Biehler, Rolf and Liebendörfer, Michael and Schaper, Niclas}},
  isbn         = {{9783662648322}},
  issn         = {{2197-8751}},
  pages        = {{67--113}},
  publisher    = {{Springer}},
  title        = {{{Evaluation von Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen}}},
  doi          = {{10.1007/978-3-662-64833-9_3}},
  year         = {{2022}},
}

@article{45334,
  author       = {{Schönherr, Johanna and Schukajlow, S. and Blomberg, J. and Leopold, C.}},
  journal      = {{Applied Cognitive Psychology, ac3930}},
  number       = {{2}},
  pages        = {{402--417}},
  title        = {{{Effects of drawing instructions and strategic knowledge on mathematical modeling performance: Mediated by the use of the drawing strategy}}},
  doi          = {{10.1002/acp.3930}},
  volume       = {{36}},
  year         = {{2022}},
}

@inproceedings{45339,
  author       = {{Schönherr, Johanna and Schukajlow, S. and Leopold, C.}},
  booktitle    = {{Proceedings of the 45th PME Conference}},
  pages        = {{347–354}},
  title        = {{{Drawing instructions, strategic knowledge, strategy-based motivation, and students' use of drawings}}},
  volume       = {{3}},
  year         = {{2022}},
}

@inproceedings{35674,
  abstract     = {{<jats:p>We report on our work with students in our data science courses, focusing on the analysis of students’ results. This study represents an in-depth analysis of students’ creation and documentation of machine learning models. The students were supported by educationally designed Jupyter Notebooks, which are used as worked examples. Using the worked example, students document their results in a so-called computational essay. We examine which aspects of creating computational essays are difficult for students to find out how worked examples should be designed to support students without being too prescriptive. We analyze the computational essays produced by students and draw consequences for redesigning our worked example.</jats:p>}},
  author       = {{Fleischer, Franz Yannik and Hüsing, Sven and Biehler, Rolf and Podworny, Susanne and Schulte, Carsten}},
  booktitle    = {{Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics}},
  editor       = {{Peters, S. A. and Zapata-Cardona, L. and Bonafini, F. and Fan, A.}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{Jupyter Notebooks for Teaching, Learning, and Doing Data Science}}},
  doi          = {{10.52041/iase.icots11.t10e3}},
  year         = {{2022}},
}