@article{48408,
  author       = {{Wessel, Lena and Dröse, Jennifer}},
  journal      = {{mathematik lehren}},
  pages        = {{33--36}},
  title        = {{{Schreiben will gelernt sein: Schreiblerngelegenheiten adaptiv gestalten}}},
  volume       = {{233}},
  year         = {{2022}},
}

@article{35741,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Business process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business processes. This includes methods and tools for tackling various kinds of process change such as continuous process improvement, process reengineering, process innovation, and process drift. However, exogenous shocks, which lead to unintentional and radical process change, have been neglected in BPM research although they severely affect an organization’s context, strategy, and business processes. This research note conceptualizes the interplay of exogenous shocks and BPM in terms of the effects that such shocks can have on organizations’ overall process performance over time. On this foundation, related challenges and opportunities for BPM via several rounds of idea generation and consolidation within a diverse team of BPM scholars are identified. The paper discusses findings in light of extant literature from BPM and related disciplines, as well as present avenues for future (BPM) research to invigorate the academic discourse on the topic.</jats:p>}},
  author       = {{Röglinger, Maximilian and Plattfaut, Ralf and Borghoff, Vincent and Kerpedzhiev, Georgi and Becker, Jörg and Beverungen, Daniel and vom Brocke, Jan and Van Looy, Amy and del-Río-Ortega, Adela and Rinderle-Ma, Stefanie and Rosemann, Michael and Santoro, Flavia Maria and Trkman, Peter}},
  issn         = {{2363-7005}},
  journal      = {{Business & Information Systems Engineering}},
  keywords     = {{Information Systems, Business process management, Exogenous shocks, Challenges, Opportunities}},
  number       = {{5}},
  pages        = {{669--687}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Exogenous Shocks and Business Process Management}}},
  doi          = {{10.1007/s12599-021-00740-w}},
  volume       = {{64}},
  year         = {{2022}},
}

@inbook{35696,
  abstract     = {{<jats:p>The data age has led to curriculum developments promoting the relevance of stochastics in mathematics education. This has resulted in an increased demand for teacher professional development (PD) courses, and thus in a rising number of facilitators for this purpose. Their expertise, however, remains under-researched, even though facilitators are the crucial factor in PD success. Our study aims at revealing how one aspect of facilitator expertise, orientation, is connected to other aspects: views on content goals, perception of possible challenges, and attitude towards teaching resources. The explorations reveal differing orientations and learning goals with identical teaching resources for two facilitators who had also been working as a team for the re-design of the PD course for years.</jats:p>}},
  author       = {{Nieszporek, Ralf and Griese, Birgit and 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        = {{{Facilitators’ Orientations Towards Learning Goals, Perceived Challenges, and Teaching Resources for a PD Course on Conditional Probability}}},
  doi          = {{10.52041/iase.icots11.t4b2}},
  year         = {{2022}},
}

@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}},
}

@article{35728,
  abstract     = {{Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}},
  author       = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Digital transformation, Public data spaces, Digital platforms, GAIA-X}},
  pages        = {{493--501}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{From private digital platforms to public data spaces: implications for the digital transformation}}},
  doi          = {{10.1007/s12525-022-00553-z}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{35732,
  abstract     = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Platform, Text mining, Machine learning, Data communications, Interpretive research, Systems design and implementation}},
  pages        = {{375--396}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  volume       = {{32}},
  year         = {{2022}},
}