[{"year":"2020","title":"Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II","date_created":"2022-01-12T16:43:38Z","publisher":"wbv Media GmbH & Co. KG","abstract":[{"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":"ger"},{"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.","lang":"eng"}],"publication":"Sammelband der 27. Fachtagung der BAG Berufliche Bildung","language":[{"iso":"ger"}],"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"],"intvolume":"        55","page":"176-194","citation":{"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>","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} }","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>.","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>"},"place":"Bielefeld","publication_status":"published","doi":"https://doi.org/10.3278/6004722w","conference":{"location":"Siegen","end_date":"2019-03-13","start_date":"2019-03-11","name":"20. Hochschultage Berufliche Bildung (HTBB) \"Digitale Welt - Bildung und Arbeit in Transformationsgesellschaften\"."},"main_file_link":[{"url":"https://library.oapen.org/handle/20.500.12657/43933","open_access":"1"}],"volume":55,"author":[{"last_name":"Opel","full_name":"Opel, Simone Anna","id":"72932","first_name":"Simone Anna"},{"first_name":"Michael","full_name":"Schlichtig, Michael","id":"32312","last_name":"Schlichtig"}],"date_updated":"2022-01-12T17:04:10Z","oa":"1","status":"public","editor":[{"first_name":"Thomas","last_name":"Vollmer","full_name":"Vollmer, Thomas"},{"full_name":"Karges, Torben","last_name":"Karges","first_name":"Torben"},{"first_name":"Tim","last_name":"Richter","full_name":"Richter, Tim"},{"first_name":"Britta","last_name":"Schlömer","full_name":"Schlömer, Britta"},{"first_name":"Sören","full_name":"Schütt-Sayed, Sören","last_name":"Schütt-Sayed"}],"type":"conference","department":[{"_id":"67"}],"series_title":"Berufsbildung, Arbeit und Innovation","user_id":"32312","_id":"29298"},{"type":"conference","status":"public","editor":[{"full_name":"Jasutė, Eglė","last_name":"Jasutė","first_name":"Eglė"},{"last_name":"Pozdniakov","full_name":"Pozdniakov, Sergei","first_name":"Sergei"}],"user_id":"32312","department":[{"_id":"67"}],"_id":"15332","publication_status":"published","publication_identifier":{"isbn":["978-9925-553-27-3"]},"citation":{"short":"M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: E. Jasutė, S. Pozdniakov (Eds.), ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, 2019, pp. 65–73.","mla":"Schlichtig, Michael, et al. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” <i>ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings</i>, edited by Eglė Jasutė and Sergei Pozdniakov, vol. 12, 2019, pp. 65–73.","bibtex":"@inproceedings{Schlichtig_Opel_Budde_Schulte_2019, title={Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material}, volume={12}, booktitle={ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings}, author={Schlichtig, Michael and Opel, Simone Anna and Budde, Lea and Schulte, Carsten}, editor={Jasutė, Eglė and Pozdniakov, Sergei}, year={2019}, pages={65–73} }","apa":"Schlichtig, M., Opel, S. A., Budde, L., &#38; Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė &#38; S. Pozdniakov (Eds.), <i>ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings</i> (Vol. 12, pp. 65–73).","ieee":"M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material,” in <i>ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings</i>, Lanarca, 2019, vol. 12, pp. 65–73.","chicago":"Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten Schulte. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” In <i>ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings</i>, edited by Eglė Jasutė and Sergei Pozdniakov, 12:65–73, 2019.","ama":"Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasutė E, Pozdniakov S, eds. <i>ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings</i>. Vol 12. ; 2019:65-73."},"intvolume":"        12","page":"65 - 73","author":[{"first_name":"Michael","full_name":"Schlichtig, Michael","id":"32312","last_name":"Schlichtig","orcid":"0000-0001-6600-6171"},{"last_name":"Opel","id":"72932","full_name":"Opel, Simone Anna","first_name":"Simone Anna"},{"first_name":"Lea","last_name":"Budde","full_name":"Budde, Lea","id":"32443"},{"first_name":"Carsten","full_name":"Schulte, Carsten","id":"60311","last_name":"Schulte"}],"volume":12,"date_updated":"2022-07-26T11:41:41Z","main_file_link":[{"url":"http://cyprusconferences.org/issep2019/wp-content/uploads/2019/10/LocalISSEP-v5.pdf"}],"conference":{"start_date":"2019-11-18","name":"ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives","location":"Lanarca","end_date":"2019-11-20"},"publication":"ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings","abstract":[{"text":"Artificial intelligence (AI) has the potential for far-reaching – in our opinion – irreversible changes.\r\nThey range from effects on the individual and society to new societal and social issues. The question arises\r\nas to how students can learn the basic functioning of AI systems, what areas of life and society are affected\r\nby these and – most important – how their own lives are affected by these changes. Therefore, we are developing and evaluating school materials for the German ”Science Year AI”. It can be used for students of all\r\nschool types from the seventh grade upwards and will be distributed to about 2000 schools in autumn with\r\nthe support of the Federal Ministry of Education and Research. The material deals with the following aspects\r\nof AI: Discussing everyday experiences with AI, how does machine learning work, historical development\r\nof AI concepts, difference between man and machine, future distribution of roles between man and machine,\r\nin which AI world do we want to live and how much AI would we like to have in our lives. Through an\r\naccompanying evaluation, high quality of the technical content and didactic preparation is achieved in order\r\nto guarantee the long-term applicability in the teaching context in the different age groups and school types.\r\nIn this paper, we describe the current state of the material development, the challenges arising, and the results\r\nof tests with different classes to date. We also present first ideas for evaluating the results.","lang":"eng"}],"language":[{"iso":"eng"}],"keyword":["Artificial Intelligence","Machine Learning","Teaching Material","Societal Aspects","Ethics. Social Aspects","Science Year","Simulation Game"],"quality_controlled":"1","year":"2019","date_created":"2019-12-16T17:50:08Z","title":"Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material"},{"language":[{"iso":"ger"}],"user_id":"32312","series_title":"LNI","department":[{"_id":"67"}],"_id":"15640","status":"public","type":"conference","publication":"INFOS","title":"Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II","author":[{"last_name":"Opel","full_name":"Opel, Simone Anna","id":"72932","first_name":"Simone Anna"},{"id":"32312","full_name":"Schlichtig, Michael","orcid":"0000-0001-6600-6171","last_name":"Schlichtig","first_name":"Michael"},{"full_name":"Schulte, Carsten","id":"60311","last_name":"Schulte","first_name":"Carsten"},{"full_name":"Biehler, Rolf","last_name":"Biehler","first_name":"Rolf"},{"first_name":"Daniel","last_name":"Frischemeier","full_name":"Frischemeier, Daniel"},{"last_name":"Podworny","full_name":"Podworny, Susanne","first_name":"Susanne"},{"first_name":"Thomas","full_name":"Wassong, Thomas","id":"21241","last_name":"Wassong"}],"date_created":"2020-01-28T10:28:34Z","volume":"P-288","date_updated":"2022-07-26T11:42:05Z","publisher":"Gesellschaft für Informatik","citation":{"ieee":"S. A. Opel <i>et al.</i>, “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II,” in <i>INFOS</i>, 2019, vol. P-288, pp. 285–294.","chicago":"Opel, Simone Anna, Michael Schlichtig, Carsten Schulte, Rolf Biehler, Daniel Frischemeier, Susanne Podworny, and Thomas Wassong. “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.” In <i>INFOS</i>, P-288:285–94. LNI. Gesellschaft für Informatik, 2019.","ama":"Opel SA, Schlichtig M, Schulte C, et al. Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. In: <i>INFOS</i>. Vol P-288. LNI. Gesellschaft für Informatik; 2019:285-294.","apa":"Opel, S. A., Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., &#38; Wassong, T. (2019). Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. <i>INFOS</i>, <i>P-288</i>, 285–294.","mla":"Opel, Simone Anna, et al. “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.” <i>INFOS</i>, vol. P-288, Gesellschaft für Informatik, 2019, pp. 285–94.","bibtex":"@inproceedings{Opel_Schlichtig_Schulte_Biehler_Frischemeier_Podworny_Wassong_2019, series={LNI}, title={Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II}, volume={P-288}, booktitle={INFOS}, publisher={Gesellschaft für Informatik}, author={Opel, Simone Anna and Schlichtig, Michael and Schulte, Carsten and Biehler, Rolf and Frischemeier, Daniel and Podworny, Susanne and Wassong, Thomas}, year={2019}, pages={285–294}, collection={LNI} }","short":"S.A. Opel, M. Schlichtig, C. Schulte, R. Biehler, D. Frischemeier, S. Podworny, T. Wassong, in: INFOS, Gesellschaft für Informatik, 2019, pp. 285–294."},"page":"285-294","year":"2019","quality_controlled":"1"},{"publication":"INFOS","type":"conference","status":"public","_id":"15641","department":[{"_id":"67"}],"user_id":"32312","series_title":"LNI","language":[{"iso":"ger"}],"quality_controlled":"1","year":"2019","page":"385","citation":{"ieee":"M. Schlichtig <i>et al.</i>, “Maschinelles Lernen im Unterricht mit Jupyter Notebook,” in <i>INFOS</i>, 2019, vol. P-288, p. 385.","chicago":"Schlichtig, Michael, Simone Anna Opel, Carsten Schulte, Rolf Biehler, Daniel Frischemeier, Susanne Podworny, and Thomas Wassong. “Maschinelles Lernen im Unterricht mit Jupyter Notebook.” In <i>INFOS</i>, P-288:385. LNI. Gesellschaft für Informatik, 2019.","ama":"Schlichtig M, Opel SA, Schulte C, et al. Maschinelles Lernen im Unterricht mit Jupyter Notebook. In: <i>INFOS</i>. Vol P-288. LNI. Gesellschaft für Informatik; 2019:385.","apa":"Schlichtig, M., Opel, S. A., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., &#38; Wassong, T. (2019). Maschinelles Lernen im Unterricht mit Jupyter Notebook. <i>INFOS</i>, <i>P-288</i>, 385.","mla":"Schlichtig, Michael, et al. “Maschinelles Lernen im Unterricht mit Jupyter Notebook.” <i>INFOS</i>, vol. P-288, Gesellschaft für Informatik, 2019, p. 385.","short":"M. Schlichtig, S.A. Opel, C. Schulte, R. Biehler, D. Frischemeier, S. Podworny, T. Wassong, in: INFOS, Gesellschaft für Informatik, 2019, p. 385.","bibtex":"@inproceedings{Schlichtig_Opel_Schulte_Biehler_Frischemeier_Podworny_Wassong_2019, series={LNI}, title={Maschinelles Lernen im Unterricht mit Jupyter Notebook}, volume={P-288}, booktitle={INFOS}, publisher={Gesellschaft für Informatik}, author={Schlichtig, Michael and Opel, Simone Anna and Schulte, Carsten and Biehler, Rolf and Frischemeier, Daniel and Podworny, Susanne and Wassong, Thomas}, year={2019}, pages={385}, collection={LNI} }"},"date_updated":"2022-07-26T11:41:58Z","publisher":"Gesellschaft für Informatik","volume":"P-288","date_created":"2020-01-28T10:28:35Z","author":[{"first_name":"Michael","id":"32312","full_name":"Schlichtig, Michael","last_name":"Schlichtig","orcid":"0000-0001-6600-6171"},{"last_name":"Opel","id":"72932","full_name":"Opel, Simone Anna","first_name":"Simone Anna"},{"last_name":"Schulte","full_name":"Schulte, Carsten","id":"60311","first_name":"Carsten"},{"last_name":"Biehler","full_name":"Biehler, Rolf","first_name":"Rolf"},{"full_name":"Frischemeier, Daniel","last_name":"Frischemeier","first_name":"Daniel"},{"first_name":"Susanne","full_name":"Podworny, Susanne","last_name":"Podworny"},{"id":"21241","full_name":"Wassong, Thomas","last_name":"Wassong","first_name":"Thomas"}],"title":"Maschinelles Lernen im Unterricht mit Jupyter Notebook"},{"quality_controlled":"1","year":"2019","page":"11:1-11:2","citation":{"ama":"Opel SA, Schlichtig M, Schulte C. Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). In: <i>WiPSCE</i>. ACM; 2019:11:1-11:2.","chicago":"Opel, Simone Anna, Michael Schlichtig, and Carsten Schulte. “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress).” In <i>WiPSCE</i>, 11:1-11:2. ACM, 2019.","ieee":"S. A. Opel, M. Schlichtig, and C. Schulte, “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress),” in <i>WiPSCE</i>, 2019, p. 11:1-11:2.","bibtex":"@inproceedings{Opel_Schlichtig_Schulte_2019, title={Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress)}, booktitle={WiPSCE}, publisher={ACM}, author={Opel, Simone Anna and Schlichtig, Michael and Schulte, Carsten}, year={2019}, pages={11:1-11:2} }","mla":"Opel, Simone Anna, et al. “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress).” <i>WiPSCE</i>, ACM, 2019, p. 11:1-11:2.","short":"S.A. Opel, M. Schlichtig, C. Schulte, in: WiPSCE, ACM, 2019, p. 11:1-11:2.","apa":"Opel, S. A., Schlichtig, M., &#38; Schulte, C. (2019). Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). <i>WiPSCE</i>, 11:1-11:2."},"publisher":"ACM","date_updated":"2022-07-26T11:41:51Z","date_created":"2020-01-28T10:28:37Z","author":[{"full_name":"Opel, Simone Anna","id":"72932","last_name":"Opel","first_name":"Simone Anna"},{"orcid":"0000-0001-6600-6171","last_name":"Schlichtig","full_name":"Schlichtig, Michael","id":"32312","first_name":"Michael"},{"full_name":"Schulte, Carsten","id":"60311","last_name":"Schulte","first_name":"Carsten"}],"title":"Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress)","publication":"WiPSCE","type":"conference","status":"public","_id":"15643","department":[{"_id":"67"}],"user_id":"32312","language":[{"iso":"eng"}]},{"department":[{"_id":"67"}],"user_id":"21241","_id":"15646","language":[{"iso":"eng"}],"publication":"Koli Calling","type":"conference","status":"public","date_created":"2020-01-28T10:28:41Z","author":[{"first_name":"Birte","full_name":"Heinemann, Birte","last_name":"Heinemann"},{"full_name":"Opel, Simone Anna","id":"72932","last_name":"Opel","first_name":"Simone Anna"},{"first_name":"Lea","id":"32443","full_name":"Budde, Lea","last_name":"Budde"},{"first_name":"Carsten","full_name":"Schulte, Carsten","id":"60311","last_name":"Schulte"},{"last_name":"Frischemeier","full_name":"Frischemeier, Daniel","first_name":"Daniel"},{"full_name":"Biehler, Rolf","last_name":"Biehler","first_name":"Rolf"},{"first_name":"Susanne","full_name":"Podworny, Susanne","last_name":"Podworny"},{"full_name":"Wassong, Thomas","id":"21241","last_name":"Wassong","first_name":"Thomas"}],"publisher":"ACM","date_updated":"2025-05-25T20:14:49Z","title":"Drafting a Data Science Curriculum for Secondary Schools","page":"17:1-17:5","citation":{"apa":"Heinemann, B., Opel, S. A., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., Podworny, S., &#38; Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools. <i>Koli Calling</i>, 17:1-17:5.","bibtex":"@inproceedings{Heinemann_Opel_Budde_Schulte_Frischemeier_Biehler_Podworny_Wassong_2018, title={Drafting a Data Science Curriculum for Secondary Schools}, booktitle={Koli Calling}, publisher={ACM}, author={Heinemann, Birte and Opel, Simone Anna and Budde, Lea and Schulte, Carsten and Frischemeier, Daniel and Biehler, Rolf and Podworny, Susanne and Wassong, Thomas}, year={2018}, pages={17:1-17:5} }","mla":"Heinemann, Birte, et al. “Drafting a Data Science Curriculum for Secondary Schools.” <i>Koli Calling</i>, ACM, 2018, p. 17:1-17:5.","short":"B. Heinemann, S.A. Opel, L. Budde, C. Schulte, D. Frischemeier, R. Biehler, S. Podworny, T. Wassong, in: Koli Calling, ACM, 2018, p. 17:1-17:5.","ieee":"B. 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