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The Interdisciplinary Development of an Educational Game for Primary School Children--Lessons Learned. In: <i>EdMedia+ Innovate Learning</i>. ; 2020:522-529.","mla":"Winkelnkemper, Felix, et al. “The Interdisciplinary Development of an Educational Game for Primary School Children--Lessons Learned.” <i>EdMedia+ Innovate Learning</i>, 2020, pp. 522–29.","short":"F. Winkelnkemper, C. Schulte, K. Eilerts, D. Bechinie, T. Huhmann, in: EdMedia+ Innovate Learning, 2020, pp. 522–529.","chicago":"Winkelnkemper, Felix, Carsten Schulte, Katja Eilerts, Dominik Bechinie, and Tobias Huhmann. “The Interdisciplinary Development of an Educational Game for Primary School Children--Lessons Learned.” In <i>EdMedia+ Innovate Learning</i>, 522–29, 2020.","ieee":"F. Winkelnkemper, C. Schulte, K. Eilerts, D. Bechinie, and T. 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In <i>EdMedia+ Innovate Learning</i> (pp. 522–529)."},"publication":"EdMedia+ Innovate Learning"},{"date_updated":"2022-01-06T06:54:27Z","title":"Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example","year":"2020","status":"public","publication_identifier":{"isbn":["9781450389211"]},"author":[{"id":"37320","last_name":"Terfloth","first_name":"Lutz","full_name":"Terfloth, Lutz"},{"full_name":"Budde, Lea","first_name":"Lea","last_name":"Budde","id":"32443"},{"id":"60311","full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte"}],"user_id":"21145","doi":"10.1145/3428029.3428052","publisher":"Association for Computing Machinery","_id":"20452","language":[{"iso":"eng"}],"abstract":[{"text":"In this paper, we present a novel approach to design teaching interventions for computing education, elaborated using an example of cybersecurity education. Cybersecurity education, similar to other computing education domains, often focuses on one aspect and separate themselves from the other approach. In other words, they focus on one of the two different aspects: a) either teaching how to use and to behave, or b) how technology works. Here we suggest another point of focal awareness for teaching – interaction – that allows the recombination of both approaches in a novel way, leading to a reconstruction of the teaching and learning content in a way that – as we hope – supports an understanding on a higher level and thus gives the chance to better develop agency. For this didactic reconstruction of teaching content, we use an approach called the hybrid interaction system framework.\r\nIn cybersecurity training, teaching interventions oftentimes are in a way successful but seem to not lead to long-lasting changes towards secure behavior. Using simply password security as an example, we show how this new approach recombines the two different priory mentioned teaching approaches in a novel way.\r\nWithin this short paper, we present our current research progress, discuss potentials and values of the approach in general, and by way of example. Our intention of this submission and early disclosure is to spark discussion and generate further insights especially regarding the following question: What implications does the hybrid interaction system approach have on learning scenarios?","lang":"eng"}],"citation":{"chicago":"Terfloth, Lutz, Lea Budde, and Carsten Schulte. “Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example.” New York, NY, USA: Association for Computing Machinery, 2020. <a href=\"https://doi.org/10.1145/3428029.3428052\">https://doi.org/10.1145/3428029.3428052</a>.","short":"L. Terfloth, L. Budde, C. Schulte, in: Association for Computing Machinery, New York, NY, USA, 2020.","ieee":"L. Terfloth, L. Budde, and C. Schulte, “Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example,” 2020.","apa":"Terfloth, L., Budde, L., &#38; Schulte, C. (2020). Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example. New York, NY, USA: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3428029.3428052\">https://doi.org/10.1145/3428029.3428052</a>","bibtex":"@inproceedings{Terfloth_Budde_Schulte_2020, place={New York, NY, USA}, title={Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example}, DOI={<a href=\"https://doi.org/10.1145/3428029.3428052\">10.1145/3428029.3428052</a>}, publisher={Association for Computing Machinery}, author={Terfloth, Lutz and Budde, Lea and Schulte, Carsten}, year={2020} }","ama":"Terfloth L, Budde L, Schulte C. Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example. In: New York, NY, USA: Association for Computing Machinery; 2020. doi:<a href=\"https://doi.org/10.1145/3428029.3428052\">10.1145/3428029.3428052</a>","mla":"Terfloth, Lutz, et al. <i>Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example</i>. Association for Computing Machinery, 2020, doi:<a href=\"https://doi.org/10.1145/3428029.3428052\">10.1145/3428029.3428052</a>."},"type":"conference","department":[{"_id":"67"}],"date_created":"2020-11-23T09:48:15Z","place":"New York, NY, USA"},{"title":"Machine learning for human learners: opportunities, issues, tensions and threats","year":"2020","status":"public","author":[{"first_name":"Mary E","last_name":"Webb","full_name":"Webb, Mary E"},{"first_name":"Andrew","last_name":"Fluck","full_name":"Fluck, Andrew"},{"first_name":"Johannes","last_name":"Magenheim","full_name":"Magenheim, Johannes"},{"full_name":"Malyn-Smith, Joyce","last_name":"Malyn-Smith","first_name":"Joyce"},{"full_name":"Waters, Juliet","first_name":"Juliet","last_name":"Waters"},{"full_name":"Deschênes , Michelle","last_name":"Deschênes ","first_name":"Michelle"},{"full_name":"Zagami, Jason","first_name":"Jason","last_name":"Zagami"}],"date_updated":"2022-01-06T06:54:40Z","page":"1-22","publisher":"Springer","_id":"20834","language":[{"iso":"eng"}],"user_id":"21145","doi":"10.1007/s11423-020-09858-2","publication":"Educational Technology Research and Development","citation":{"ama":"Webb ME, Fluck A, Magenheim J, et al. Machine learning for human learners: opportunities, issues, tensions and threats. <i>Educational Technology Research and Development</i>. 2020:1-22. doi:<a href=\"https://doi.org/10.1007/s11423-020-09858-2\">10.1007/s11423-020-09858-2</a>","bibtex":"@article{Webb_Fluck_Magenheim_Malyn-Smith_Waters_Deschênes _Zagami_2020, title={Machine learning for human learners: opportunities, issues, tensions and threats}, DOI={<a href=\"https://doi.org/10.1007/s11423-020-09858-2\">10.1007/s11423-020-09858-2</a>}, journal={Educational Technology Research and Development}, publisher={Springer}, author={Webb, Mary E and Fluck, Andrew and Magenheim, Johannes and Malyn-Smith, Joyce and Waters, Juliet and Deschênes , Michelle and Zagami, Jason}, year={2020}, pages={1–22} }","mla":"Webb, Mary E., et al. “Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats.” <i>Educational Technology Research and Development</i>, Springer, 2020, pp. 1–22, doi:<a href=\"https://doi.org/10.1007/s11423-020-09858-2\">10.1007/s11423-020-09858-2</a>.","short":"M.E. Webb, A. Fluck, J. Magenheim, J. Malyn-Smith, J. Waters, M. Deschênes , J. Zagami, Educational Technology Research and Development (2020) 1–22.","chicago":"Webb, Mary E, Andrew Fluck, Johannes Magenheim, Joyce Malyn-Smith, Juliet Waters, Michelle Deschênes , and Jason Zagami. “Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats.” <i>Educational Technology Research and Development</i>, 2020, 1–22. <a href=\"https://doi.org/10.1007/s11423-020-09858-2\">https://doi.org/10.1007/s11423-020-09858-2</a>.","apa":"Webb, M. E., Fluck, A., Magenheim, J., Malyn-Smith, J., Waters, J., Deschênes , M., &#38; Zagami, J. (2020). Machine learning for human learners: opportunities, issues, tensions and threats. <i>Educational Technology Research and Development</i>, 1–22. <a href=\"https://doi.org/10.1007/s11423-020-09858-2\">https://doi.org/10.1007/s11423-020-09858-2</a>","ieee":"M. E. Webb <i>et al.</i>, “Machine learning for human learners: opportunities, issues, tensions and threats,” <i>Educational Technology Research and Development</i>, pp. 1–22, 2020."},"date_created":"2020-12-22T15:17:04Z","type":"journal_article","department":[{"_id":"67"}]},{"department":[{"_id":"67"}],"type":"journal_article","date_created":"2020-12-22T15:22:42Z","citation":{"bibtex":"@article{Magenheim_2020, title={&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik}, volume={37}, DOI={<a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">10.21240/mpaed/37/2020.07.08.X</a>}, journal={MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung}, author={Magenheim, Johannes}, year={2020}, pages={139–163} }","ama":"Magenheim J. &#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik. <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>. 2020;37:139-163. doi:<a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">10.21240/mpaed/37/2020.07.08.X</a>","mla":"Magenheim, Johannes. “&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik.” <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>, vol. 37, 2020, pp. 139–63, doi:<a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">10.21240/mpaed/37/2020.07.08.X</a>.","short":"J. Magenheim, MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 37 (2020) 139–163.","chicago":"Magenheim, Johannes. “&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik.” <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i> 37 (2020): 139–63. <a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">https://doi.org/10.21240/mpaed/37/2020.07.08.X</a>.","ieee":"J. Magenheim, “&#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik,” <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>, vol. 37, pp. 139–163, 2020.","apa":"Magenheim, J. (2020). &#60; Big Data&#62; aus der Perspektive von Informatischer Bildung und Medienpädagogik. <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>, <i>37</i>, 139–163. <a href=\"https://doi.org/10.21240/mpaed/37/2020.07.08.X\">https://doi.org/10.21240/mpaed/37/2020.07.08.X</a>"},"publication":"MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung","volume":37,"user_id":"21145","doi":"10.21240/mpaed/37/2020.07.08.X","language":[{"iso":"ger"}],"_id":"20835","page":"139-163","intvolume":"        37","date_updated":"2022-01-06T06:54:40Z","author":[{"full_name":"Magenheim, Johannes","first_name":"Johannes","last_name":"Magenheim"}],"title":"< Big Data> aus der Perspektive von Informatischer Bildung und Medienpädagogik","year":"2020","status":"public"},{"citation":{"ama":"Magenheim J, Schulte C. Data science education. <i>Encyclopedia of Education and Information Technologies Cham: Springer</i>. 2020. doi:<a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">10.1007/978-3-030-10576-1_253</a>","bibtex":"@article{Magenheim_Schulte_2020, title={Data science education}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">10.1007/978-3-030-10576-1_253</a>}, journal={Encyclopedia of Education and Information Technologies. Cham: Springer}, author={Magenheim, Johannes and Schulte, Carsten}, year={2020} }","mla":"Magenheim, Johannes, and Carsten Schulte. “Data Science Education.” <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>, 2020, doi:<a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">10.1007/978-3-030-10576-1_253</a>.","short":"J. Magenheim, C. Schulte, Encyclopedia of Education and Information Technologies. Cham: Springer (2020).","chicago":"Magenheim, Johannes, and Carsten Schulte. “Data Science Education.” <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>, 2020. <a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">https://doi.org/10.1007/978-3-030-10576-1_253</a>.","apa":"Magenheim, J., &#38; Schulte, C. (2020). Data science education. <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>. <a href=\"https://doi.org/10.1007/978-3-030-10576-1_253\">https://doi.org/10.1007/978-3-030-10576-1_253</a>","ieee":"J. Magenheim and C. Schulte, “Data science education,” <i>Encyclopedia of Education and Information Technologies. Cham: Springer</i>, 2020."},"publication":"Encyclopedia of Education and Information Technologies. Cham: Springer","date_created":"2020-12-22T15:26:36Z","department":[{"_id":"67"}],"type":"journal_article","author":[{"first_name":"Johannes","last_name":"Magenheim","full_name":"Magenheim, Johannes"},{"full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte","id":"60311"}],"title":"Data science education","year":"2020","status":"public","date_updated":"2022-01-06T06:54:40Z","_id":"20836","language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-10576-1_253","user_id":"21145"},{"department":[{"_id":"67"}],"type":"book_chapter","date_created":"2020-12-23T09:30:05Z","citation":{"chicago":"Schulte, Carsten, Lea Budde, and Felix Winkelnkemper. “Programmieren - Lehren Und Lernen Mit Und Über Medien.” In <i>Mobile Medien Im Schulkontext</i>, 215–40. Springer, 2020. <a href=\"https://doi.org/10.1007/978-3-658-29039-9\">https://doi.org/10.1007/978-3-658-29039-9</a>.","short":"C. Schulte, L. Budde, F. Winkelnkemper, in: Mobile Medien Im Schulkontext, Springer, 2020, pp. 215–240.","apa":"Schulte, C., Budde, L., &#38; Winkelnkemper, F. (2020). Programmieren - Lehren und Lernen mit und über Medien. In <i>Mobile Medien im Schulkontext</i> (pp. 215–240). Springer. <a href=\"https://doi.org/10.1007/978-3-658-29039-9\">https://doi.org/10.1007/978-3-658-29039-9</a>","ieee":"C. Schulte, L. Budde, and F. Winkelnkemper, “Programmieren - Lehren und Lernen mit und über Medien,” in <i>Mobile Medien im Schulkontext</i>, Springer, 2020, pp. 215–240.","ama":"Schulte C, Budde L, Winkelnkemper F. Programmieren - Lehren und Lernen mit und über Medien. In: <i>Mobile Medien Im Schulkontext</i>. Springer; 2020:215-240. doi:<a href=\"https://doi.org/10.1007/978-3-658-29039-9\">10.1007/978-3-658-29039-9</a>","bibtex":"@inbook{Schulte_Budde_Winkelnkemper_2020, title={Programmieren - Lehren und Lernen mit und über Medien}, DOI={<a href=\"https://doi.org/10.1007/978-3-658-29039-9\">10.1007/978-3-658-29039-9</a>}, booktitle={Mobile Medien im Schulkontext}, publisher={Springer}, author={Schulte, Carsten and Budde, Lea and Winkelnkemper, Felix}, year={2020}, pages={215–240} }","mla":"Schulte, Carsten, et al. “Programmieren - Lehren Und Lernen Mit Und Über Medien.” <i>Mobile Medien Im Schulkontext</i>, Springer, 2020, pp. 215–40, doi:<a href=\"https://doi.org/10.1007/978-3-658-29039-9\">10.1007/978-3-658-29039-9</a>."},"publication":"Mobile Medien im Schulkontext","doi":"10.1007/978-3-658-29039-9","user_id":"21145","publisher":"Springer","_id":"20840","language":[{"iso":"eng"}],"page":"215-240","date_updated":"2022-01-06T06:54:40Z","author":[{"id":"60311","full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte"},{"full_name":"Budde, Lea","first_name":"Lea","last_name":"Budde","id":"32443"},{"id":"3117","last_name":"Winkelnkemper","first_name":"Felix","full_name":"Winkelnkemper, Felix"}],"year":"2020","status":"public","title":"Programmieren - Lehren und Lernen mit und über Medien"},{"citation":{"bibtex":"@inproceedings{Opel_Schlichtig_2020, place={Bielefeld}, series={Berufsbildung, Arbeit und Innovation}, title={Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II}, volume={55}, DOI={<a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>}, booktitle={Sammelband der 27. Fachtagung der BAG Berufliche Bildung}, publisher={wbv Media GmbH &#38; Co. KG}, author={Opel, Simone Anna and Schlichtig, Michael}, editor={Vollmer, Thomas and Karges, Torben and Richter, Tim and Schlömer, Britta and Schütt-Sayed, Sören}, year={2020}, pages={176–194}, collection={Berufsbildung, Arbeit und Innovation} }","ama":"Opel SA, Schlichtig M. Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In: Vollmer T, Karges T, Richter T, Schlömer B, Schütt-Sayed S, eds. <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>. Vol 55. Berufsbildung, Arbeit und Innovation. wbv Media GmbH &#38; Co. KG; 2020:176-194. doi:<a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>","mla":"Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II.” <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>, edited by Thomas Vollmer et al., vol. 55, wbv Media GmbH &#38; Co. KG, 2020, pp. 176–94, doi:<a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>.","short":"S.A. Opel, M. Schlichtig, in: T. Vollmer, T. Karges, T. Richter, B. Schlömer, S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung, wbv Media GmbH &#38; Co. KG, Bielefeld, 2020, pp. 176–194.","chicago":"Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II.” In <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>, edited by Thomas Vollmer, Torben Karges, Tim Richter, Britta Schlömer, and Sören Schütt-Sayed, 55:176–94. Berufsbildung, Arbeit und Innovation. Bielefeld: wbv Media GmbH &#38; Co. KG, 2020. <a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>.","ieee":"S. A. Opel and M. Schlichtig, “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II,” in <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>, Siegen, 2020, vol. 55, pp. 176–194, doi: <a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>.","apa":"Opel, S. A., &#38; Schlichtig, M. (2020). Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, &#38; S. Schütt-Sayed (Eds.), <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i> (Vol. 55, pp. 176–194). wbv Media GmbH &#38; Co. KG. <a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>"},"place":"Bielefeld","oa":"1","conference":{"end_date":"2019-03-13","location":"Siegen","name":"20. Hochschultage Berufliche Bildung (HTBB) \"Digitale Welt - Bildung und Arbeit in Transformationsgesellschaften\".","start_date":"2019-03-11"},"status":"public","_id":"29298","publisher":"wbv Media GmbH & Co. KG","page":"176-194","volume":55,"editor":[{"last_name":"Vollmer","first_name":"Thomas","full_name":"Vollmer, Thomas"},{"full_name":"Karges, Torben","last_name":"Karges","first_name":"Torben"},{"last_name":"Richter","first_name":"Tim","full_name":"Richter, Tim"},{"full_name":"Schlömer, Britta","first_name":"Britta","last_name":"Schlömer"},{"full_name":"Schütt-Sayed, Sören","first_name":"Sören","last_name":"Schütt-Sayed"}],"user_id":"32312","publication":"Sammelband der 27. Fachtagung der BAG Berufliche Bildung","abstract":[{"lang":"ger","text":"Die Themen „Big Data“, „Künstliche Intelligenz und „Data Science“ werden seit einiger Zeit nicht nur in der breiten Öffentlichkeit kontrovers diskutiert, sondern stellen für die Ausbildung in den IT- und IT-nahen Berufen schon heute neue Herausforderungen dar, die in Zukunft durch die gesellschaftliche und technologische Weiterentwicklung hin zu einer Datengesellschaft noch größer werden.\r\nAn dieser Stelle stellt sich die Frage, welche Aspekte dieses großen Themenkomplexes für Schule und Ausbildung von Wichtigkeit sind und wie diese Themen sinnstiftend und gewinnbringend in die informatische Ausbildung in verschiedenen Bildungsgängen integriert werden können. Im Rahmen des von uns im Jahr 2017 organisierten Symposiums zum Thema „Data Science“ wurden für die Bildung relevante Aspekte erörtert, wodurch als Kernelemente für den Unterricht Algorithmen der Künstlichen Intelligenz und ihre Anwendung in Industrie und Gesellschaft, Explorationen von Big Data sowie der Umgang mit eigenen Daten in sozialen Netzwerken herausgearbeitet wurden. Ziel ist, aus diesen Themenbereichen sowohl ein umfassendes Curriculum als auch Module für verschiedene Unterrichtsszenarien zu entwickeln und zu erproben. Durch diese Materialien soll es Lehrkräften aus der Informatik, Mathematik oder Technik ermöglicht werden, diese Themen auf Basis des Curriculums und der erprobten Unterrichtskonzepte selbst zu unterrichten.\r\nHierfür wurde im Rahmen des Projekts ProDaBi (Projekt Data Science und Big Data in der Schule, https://www.prodabi.de), initiiert von der Telekom Stiftung, ein experimenteller Projektkurs entwickelt, den wir mit Schüler:innen der Sekundarstufe II an der Universität Paderborn im Schuljahr 2018/19 durchführten. Dieser Kurs enthält neben einem Modul zur Exploration von Big Data und einem weiteren Modul zum Maschinellen Lernen als Teil der Künstlichen Intelligenz auch eine Projektphase, die es in Zusammenarbeit mit lokalen Unternehmen den Schüler:innen\r\nermöglicht, das Erlernte in ein reales Data Science-Projekt einzubringen. Aus den Erfahrungen dieses Projektkurses sowie den parallel durchgeführten Erprobungen einzelner Bausteine auch mit beruflichen Schulen werden ab dem Schuljahr 2019/20 die hierfür verwendeten Materialien weiterentwickelt und weiteren Kooperationspartnern zur Erprobung zur Verfügung gestellt. Damit wurden zum Ende des Projekts nicht nur vollständige Unterrichtsmaterialien, sondern auch ein umfassendes Curriculum entwickelt."},{"lang":"eng","text":"The topics ”Big Data”, “Artificial Intelligence” and “Data Science” are controversially discussed among the general public, but they present new challenges for training in IT and IT-related professions. These challenges will become more important in the future as a result of further social and technological development towards a data society.\r\nAt this point, the question arises as to which aspects of this large complex of topics are important for school and education, and how these topics can be integrated in a meaningful and profitable way into informatics education in vocational education. In 2017, we organized a symposium towards the topic “Data Science” and discussed relevant aspects for general and vocational education. Algorithms of artificial intelligence and their application in industry and society, explorations of Big Data as well as the handling of one's own data in social networks were worked out as core elements for teaching. For this reason, our aim is to develop a comprehensive curriculum on this topic from these subject areas and to develop and test modules for various teaching scenarios in order to enable teachers from computer science, mathematics or technology to teach these topics themselves.\r\nFor this purpose, an experimental project course was developed within the framework of the ProDaBi project (Project Data Science and Big Data at School, https://www.prodabi.de), which we conducted with students from upper secondary classes at the University of Paderborn in the school year 2018/19. In this course we try to address all these aspects. This course consists of several modules: One module has been designed to teach the exploration of Big Data. Another module encompasses aspects of machine learning as part of artificial intelligence. The course concludes in a project phase which, in cooperation with local companies, will enable the students to apply what they have learned into a real Data Science project. Based on the experiences of this project course and the parallel testing of individual modules with vocational schools, we will further develop the material and make it available to other cooperation partners for testing, so that not only complete teaching materials but also a comprehensive curriculum will have been developed until the end of the project."}],"date_created":"2022-01-12T16:43:38Z","department":[{"_id":"67"}],"keyword":["Berufsbildung","vocational education","Ausbildung","training","berufliche Weiterbildung","advanced vocational education","Digitalisierung","digitalization","Unterricht","teaching","Lehrmethode","teaching method","Interdisziplinarität","interdisciplinarity","Fachdidaktik","subject didactics","Curriculum","curriculum","gewerblich-technischer Beruf","vocational/technical occupation","Fachkraft","specialist","Qualifikationsanforderungen","qualification requirements","Kompetenz","competence","Lehrerbildung","teacher training","Bundesrepublik Deutschland","Federal Republic of Germany"],"type":"conference","author":[{"id":"72932","full_name":"Opel, Simone Anna","first_name":"Simone Anna","last_name":"Opel"},{"full_name":"Schlichtig, Michael","first_name":"Michael","last_name":"Schlichtig","id":"32312"}],"year":"2020","title":"Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II","intvolume":"        55","publication_status":"published","date_updated":"2022-01-12T17:04:10Z","series_title":"Berufsbildung, Arbeit und Innovation","language":[{"iso":"ger"}],"main_file_link":[{"open_access":"1","url":"https://library.oapen.org/handle/20.500.12657/43933"}],"doi":"https://doi.org/10.3278/6004722w"},{"date_updated":"2024-08-21T10:03:31Z","author":[{"id":"16274","full_name":"Biehler, Rolf","first_name":"Rolf","last_name":"Biehler"},{"full_name":"Fleischer, Franz Yannik","first_name":"Franz Yannik","orcid":"https://orcid.org/0000-0003-0318-0329","last_name":"Fleischer","id":"42660"},{"first_name":"Lea","last_name":"Budde","full_name":"Budde, Lea"},{"first_name":"Daniel","last_name":"Frischemeier","full_name":"Frischemeier, Daniel"},{"full_name":"Gerstenberger, Dietrich","last_name":"Gerstenberger","first_name":"Dietrich"},{"full_name":"Podworny, Susanne","last_name":"Podworny","orcid":"0000-0002-6313-5987","first_name":"Susanne","id":"30619"},{"last_name":"Schulte","first_name":"Carsten","full_name":"Schulte, Carsten","id":"60311"}],"title":"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","year":"2020","status":"public","editor":[{"full_name":"Arnold, P.","first_name":"P.","last_name":"Arnold"}],"user_id":"37888","_id":"35814","publisher":"ISI/IASE","language":[{"iso":"eng"}],"citation":{"bibtex":"@inproceedings{Biehler_Fleischer_Budde_Frischemeier_Gerstenberger_Podworny_Schulte_2020, place={Voorborg, The Netherlands}, title={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}, booktitle={New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE)}, publisher={ISI/IASE}, author={Biehler, Rolf and Fleischer, Franz Yannik and Budde, Lea and Frischemeier, Daniel and Gerstenberger, Dietrich and Podworny, Susanne and Schulte, Carsten}, editor={Arnold, P.}, year={2020} }","ama":"Biehler R, Fleischer FY, Budde L, et al. 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Biehler <i>et al.</i>, “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 <i>New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE)</i>, 2020.","apa":"Biehler, R., Fleischer, F. Y., Budde, L., Frischemeier, D., Gerstenberger, D., Podworny, S., &#38; Schulte, C. (2020). 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 P. Arnold (Ed.), <i>New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE)</i>. 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Published online 2020."},"type":"journal_article","keyword":["⛔ No DOI found"],"department":[{"_id":"67"},{"_id":"427"}],"date_created":"2021-02-24T09:18:36Z","date_updated":"2025-08-12T07:15:23Z","year":"2020","status":"public","title":"Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows)","author":[{"full_name":"Budde, Lea","last_name":"Budde","first_name":"Lea","id":"32443"},{"id":"60311","first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten"},{"last_name":"Buhl","first_name":"Heike M.","full_name":"Buhl, Heike M.","id":"27152"},{"full_name":"Muehling, Andreas","last_name":"Muehling","first_name":"Andreas"}],"user_id":"90826","_id":"21267","publisher":"(IEEE)","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"_id":"15578","page":"261-262","doi":"10.1145/3304221.3325531","user_id":"21145","author":[{"full_name":"Izu, Cruz","last_name":"Izu","first_name":"Cruz"},{"full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte","id":"60311"},{"last_name":"Aggarwal","first_name":"Ashish","full_name":"Aggarwal, Ashish"},{"full_name":"I. Cutts, Quintin","last_name":"I. Cutts","first_name":"Quintin"},{"full_name":"Duran, Rodrigo","first_name":"Rodrigo","last_name":"Duran"},{"last_name":"Gutica","first_name":"Mirela","full_name":"Gutica, Mirela"},{"first_name":"Birte","last_name":"Heinemann","full_name":"Heinemann, Birte"},{"full_name":"Kraemer, Eileen","first_name":"Eileen","last_name":"Kraemer"},{"first_name":"Violetta","last_name":"Lonati","full_name":"Lonati, Violetta"},{"full_name":"Mirolo, Claudio","first_name":"Claudio","last_name":"Mirolo"},{"first_name":"Renske","last_name":"Weeda","full_name":"Weeda, Renske"}],"title":"Program Comprehension: Identifying Learning Trajectories for Novice Programmers","year":"2019","status":"public","date_updated":"2022-01-06T06:52:29Z","date_created":"2020-01-15T07:55:25Z","department":[{"_id":"67"}],"type":"conference","citation":{"short":"C. Izu, C. Schulte, A. Aggarwal, Q. I. Cutts, R. Duran, M. Gutica, B. Heinemann, E. Kraemer, V. Lonati, C. Mirolo, R. 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September 2019, Dortmund</i> (pp. 139–148). <a href=\"https://doi.org/10.18420/infos2019-b10\">https://doi.org/10.18420/infos2019-b10</a>","bibtex":"@inproceedings{Müller_Schulte_Magenheim_2019, title={Zur Relevanz eines Prozessbereiches Interaktion und Exploration im Kontext informatischer Bildung im Primarbereich}, DOI={<a href=\"https://doi.org/10.18420/infos2019-b10\">10.18420/infos2019-b10</a>}, booktitle={Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund}, author={Müller, Kathrin and Schulte, Carsten and Magenheim, Johannes}, year={2019}, pages={139–148} }","ama":"Müller K, Schulte C, Magenheim J. Zur Relevanz eines Prozessbereiches Interaktion und Exploration im Kontext informatischer Bildung im Primarbereich. In: <i>Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund</i>. ; 2019:139-148. doi:<a href=\"https://doi.org/10.18420/infos2019-b10\">10.18420/infos2019-b10</a>","short":"K. Müller, C. Schulte, J. Magenheim, in: Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund, 2019, pp. 139–148.","chicago":"Müller, Kathrin, Carsten Schulte, and Johannes Magenheim. “Zur Relevanz eines Prozessbereiches Interaktion und Exploration im Kontext informatischer Bildung im Primarbereich.” In <i>Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund</i>, 139–48, 2019. <a href=\"https://doi.org/10.18420/infos2019-b10\">https://doi.org/10.18420/infos2019-b10</a>."},"publication":"Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund"},{"type":"conference","department":[{"_id":"67"}],"date_created":"2020-01-15T08:43:51Z","publication":"Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund","citation":{"ieee":"A.-K. Schmidt and C. Schulte, “Das RetiBNE Café,” in <i>Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund</i>, 2019, pp. 315–324.","apa":"Schmidt, A.-K., &#38; Schulte, C. (2019). Das RetiBNE Café. In <i>Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund</i> (pp. 315–324). <a href=\"https://doi.org/10.18420/infos2019-c17\">https://doi.org/10.18420/infos2019-c17</a>","chicago":"Schmidt, Ann-Katrin, and Carsten Schulte. “Das RetiBNE Café.” In <i>Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund</i>, 315–24, 2019. <a href=\"https://doi.org/10.18420/infos2019-c17\">https://doi.org/10.18420/infos2019-c17</a>.","short":"A.-K. Schmidt, C. Schulte, in: Informatik für alle, 18. 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Critical Incidents for Technology Enhanced Learning in Vocational Education and Training. In: <i>IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019</i>. ; 2019:892-899. doi:<a href=\"https://doi.org/10.1109/EDUCON.2019.8725025\">10.1109/EDUCON.2019.8725025</a>","bibtex":"@inproceedings{Wilke_Magenheim_2019, title={Critical Incidents for Technology Enhanced Learning in Vocational Education and Training}, DOI={<a href=\"https://doi.org/10.1109/EDUCON.2019.8725025\">10.1109/EDUCON.2019.8725025</a>}, booktitle={IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019}, author={Wilke, Adrian and Magenheim, Johannes}, year={2019}, pages={892–899} }"},"date_created":"2020-01-30T10:39:45Z","type":"conference","department":[{"_id":"67"}]}]