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Hüsing, S. Sparmann, C. Schulte, and M. Bolte, “Identifying K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming,” 2024, doi: <a href=\"https://doi.org/10.1145/3649902.3655094\">10.1145/3649902.3655094</a>.","apa":"Hüsing, S., Sparmann, S., Schulte, C., &#38; Bolte, M. (2024). Identifying K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming. <i>Proceedings of the 2024 Symposium on Eye Tracking Research and Applications</i>. <a href=\"https://doi.org/10.1145/3649902.3655094\">https://doi.org/10.1145/3649902.3655094</a>","chicago":"Hüsing, Sven, Sören Sparmann, Carsten Schulte, and Mario Bolte. “Identifying K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming.” In <i>Proceedings of the 2024 Symposium on Eye Tracking Research and Applications</i>. ACM, 2024. <a href=\"https://doi.org/10.1145/3649902.3655094\">https://doi.org/10.1145/3649902.3655094</a>.","short":"S. Hüsing, S. Sparmann, C. Schulte, M. Bolte, in: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, ACM, 2024.","mla":"Hüsing, Sven, et al. “Identifying K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming.” <i>Proceedings of the 2024 Symposium on Eye Tracking Research and Applications</i>, ACM, 2024, doi:<a href=\"https://doi.org/10.1145/3649902.3655094\">10.1145/3649902.3655094</a>.","bibtex":"@inproceedings{Hüsing_Sparmann_Schulte_Bolte_2024, title={Identifying K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming}, DOI={<a href=\"https://doi.org/10.1145/3649902.3655094\">10.1145/3649902.3655094</a>}, booktitle={Proceedings of the 2024 Symposium on Eye Tracking Research and Applications}, publisher={ACM}, author={Hüsing, Sven and Sparmann, Sören and Schulte, Carsten and Bolte, Mario}, year={2024} }","ama":"Hüsing S, Sparmann S, Schulte C, Bolte M. Identifying K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming. In: <i>Proceedings of the 2024 Symposium on Eye Tracking Research and Applications</i>. ACM; 2024. doi:<a href=\"https://doi.org/10.1145/3649902.3655094\">10.1145/3649902.3655094</a>"},"date_created":"2024-06-18T06:40:20Z","type":"conference","department":[{"_id":"67"}],"title":"Identifying K-12 Students' Approaches to Using Worked Examples for Epistemic Programming","year":"2024","status":"public","author":[{"id":"58465","full_name":"Hüsing, Sven","first_name":"Sven","last_name":"Hüsing"},{"full_name":"Sparmann, Sören","first_name":"Sören","last_name":"Sparmann","id":"63216"},{"id":"60311","first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten"},{"full_name":"Bolte, Mario","first_name":"Mario","last_name":"Bolte"}],"date_updated":"2024-06-18T06:40:47Z","publication_status":"published","_id":"54796","language":[{"iso":"eng"}],"publisher":"ACM","doi":"10.1145/3649902.3655094","user_id":"58465"},{"title":"Förderung von Epistemic Agency – Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen","status":"public","year":"2024","author":[{"full_name":"Hüsing, Sven","last_name":"Hüsing","first_name":"Sven","id":"58465"},{"last_name":"Schönbrodt","first_name":"Sarah","full_name":"Schönbrodt, Sarah"}],"date_updated":"2024-12-11T10:00:54Z","main_file_link":[{"url":"http://dx.doi.org/10.17877/DE290R-25018"}],"language":[{"iso":"eng"}],"_id":"57738","user_id":"58465","doi":"10.17877/DE290R-25018","citation":{"apa":"Hüsing, S., &#38; Schönbrodt, S. (2024). <i>Förderung von Epistemic Agency – Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen</i>. <a href=\"https://doi.org/10.17877/DE290R-25018\">https://doi.org/10.17877/DE290R-25018</a>","ieee":"S. Hüsing and S. Schönbrodt, “Förderung von Epistemic Agency – Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen,” 2024, doi: <a href=\"https://doi.org/10.17877/DE290R-25018\">10.17877/DE290R-25018</a>.","short":"S. Hüsing, S. Schönbrodt, in: 2024.","chicago":"Hüsing, Sven, and Sarah Schönbrodt. “Förderung von Epistemic Agency – Entwicklung von Computational Essays Bei Der Bearbeitung Datengetriebener, Realer Problemstellungen,” 2024. <a href=\"https://doi.org/10.17877/DE290R-25018\">https://doi.org/10.17877/DE290R-25018</a>.","mla":"Hüsing, Sven, and Sarah Schönbrodt. <i>Förderung von Epistemic Agency – Entwicklung von Computational Essays Bei Der Bearbeitung Datengetriebener, Realer Problemstellungen</i>. 2024, doi:<a href=\"https://doi.org/10.17877/DE290R-25018\">10.17877/DE290R-25018</a>.","ama":"Hüsing S, Schönbrodt S. Förderung von Epistemic Agency – Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen. In: ; 2024. doi:<a href=\"https://doi.org/10.17877/DE290R-25018\">10.17877/DE290R-25018</a>","bibtex":"@inproceedings{Hüsing_Schönbrodt_2024, title={Förderung von Epistemic Agency – Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen}, DOI={<a href=\"https://doi.org/10.17877/DE290R-25018\">10.17877/DE290R-25018</a>}, author={Hüsing, Sven and Schönbrodt, Sarah}, year={2024} }"},"date_created":"2024-12-11T09:56:34Z","type":"conference","department":[{"_id":"67"}]},{"author":[{"full_name":"Sparmann, Sören","last_name":"Sparmann","first_name":"Sören","id":"63216"},{"id":"58465","full_name":"Hüsing, Sven","last_name":"Hüsing","first_name":"Sven"},{"id":"60311","full_name":"Schulte, Carsten","last_name":"Schulte","first_name":"Carsten"}],"year":"2023","title":"JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks","status":"public","publication_status":"published","date_updated":"2024-04-11T12:30:59Z","publisher":"ACM","_id":"52380","language":[{"iso":"eng"}],"user_id":"58465","doi":"10.1145/3631802.3631824","citation":{"short":"S. Sparmann, S. Hüsing, C. Schulte, in: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, ACM, 2023.","chicago":"Sparmann, Sören, Sven Hüsing, and Carsten Schulte. “JuGaze: A Cell-Based Eye Tracking and Logging Tool for Jupyter Notebooks.” In <i>Proceedings of the 23rd Koli Calling International Conference on Computing Education Research</i>. ACM, 2023. <a href=\"https://doi.org/10.1145/3631802.3631824\">https://doi.org/10.1145/3631802.3631824</a>.","apa":"Sparmann, S., Hüsing, S., &#38; Schulte, C. (2023). JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. <i>Proceedings of the 23rd Koli Calling International Conference on Computing Education Research</i>. <a href=\"https://doi.org/10.1145/3631802.3631824\">https://doi.org/10.1145/3631802.3631824</a>","ieee":"S. Sparmann, S. Hüsing, and C. Schulte, “JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks,” 2023, doi: <a href=\"https://doi.org/10.1145/3631802.3631824\">10.1145/3631802.3631824</a>.","ama":"Sparmann S, Hüsing S, Schulte C. JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. In: <i>Proceedings of the 23rd Koli Calling International Conference on Computing Education Research</i>. ACM; 2023. doi:<a href=\"https://doi.org/10.1145/3631802.3631824\">10.1145/3631802.3631824</a>","bibtex":"@inproceedings{Sparmann_Hüsing_Schulte_2023, title={JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks}, DOI={<a href=\"https://doi.org/10.1145/3631802.3631824\">10.1145/3631802.3631824</a>}, booktitle={Proceedings of the 23rd Koli Calling International Conference on Computing Education Research}, publisher={ACM}, author={Sparmann, Sören and Hüsing, Sven and Schulte, Carsten}, year={2023} }","mla":"Sparmann, Sören, et al. “JuGaze: A Cell-Based Eye Tracking and Logging Tool for Jupyter Notebooks.” <i>Proceedings of the 23rd Koli Calling International Conference on Computing Education Research</i>, ACM, 2023, doi:<a href=\"https://doi.org/10.1145/3631802.3631824\">10.1145/3631802.3631824</a>."},"publication":"Proceedings of the 23rd Koli Calling International Conference on Computing Education Research","date_created":"2024-03-08T08:02:10Z","department":[{"_id":"67"}],"type":"conference"},{"_id":"40511","publisher":"Bloomsbury Academic","language":[{"iso":"eng"}],"doi":"10.5040/9781350296947.ch-022","user_id":"58465","author":[{"full_name":"Hüsing, Sven","last_name":"Hüsing","first_name":"Sven","id":"58465"},{"id":"60311","full_name":"Schulte, Carsten","last_name":"Schulte","first_name":"Carsten"},{"id":"3117","full_name":"Winkelnkemper, Felix","first_name":"Felix","last_name":"Winkelnkemper"}],"publication_identifier":{"isbn":["9781350296916","9781350296909","9781350296930","9781350296923","9781350296947"]},"year":"2023","title":"Epistemic Programming","status":"public","date_updated":"2023-01-27T12:26:06Z","publication_status":"published","date_created":"2023-01-27T12:25:37Z","department":[{"_id":"67"}],"type":"book_chapter","citation":{"apa":"Hüsing, S., Schulte, C., &#38; Winkelnkemper, F. (2023). Epistemic Programming. In <i>Computer Science Education</i>. Bloomsbury Academic. <a href=\"https://doi.org/10.5040/9781350296947.ch-022\">https://doi.org/10.5040/9781350296947.ch-022</a>","ieee":"S. Hüsing, C. Schulte, and F. Winkelnkemper, “Epistemic Programming,” in <i>Computer Science Education</i>, Bloomsbury Academic, 2023.","chicago":"Hüsing, Sven, Carsten Schulte, and Felix Winkelnkemper. “Epistemic Programming.” In <i>Computer Science Education</i>. Bloomsbury Academic, 2023. <a href=\"https://doi.org/10.5040/9781350296947.ch-022\">https://doi.org/10.5040/9781350296947.ch-022</a>.","short":"S. Hüsing, C. Schulte, F. Winkelnkemper, in: Computer Science Education, Bloomsbury Academic, 2023.","mla":"Hüsing, Sven, et al. “Epistemic Programming.” <i>Computer Science Education</i>, Bloomsbury Academic, 2023, doi:<a href=\"https://doi.org/10.5040/9781350296947.ch-022\">10.5040/9781350296947.ch-022</a>.","ama":"Hüsing S, Schulte C, Winkelnkemper F. Epistemic Programming. In: <i>Computer Science Education</i>. Bloomsbury Academic; 2023. doi:<a href=\"https://doi.org/10.5040/9781350296947.ch-022\">10.5040/9781350296947.ch-022</a>","bibtex":"@inbook{Hüsing_Schulte_Winkelnkemper_2023, title={Epistemic Programming}, DOI={<a href=\"https://doi.org/10.5040/9781350296947.ch-022\">10.5040/9781350296947.ch-022</a>}, booktitle={Computer Science Education}, publisher={Bloomsbury Academic}, author={Hüsing, Sven and Schulte, Carsten and Winkelnkemper, Felix}, year={2023} }"},"publication":"Computer Science Education"},{"citation":{"bibtex":"@article{PODWORNY_Hüsing_SCHULTE_2022, title={A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}, volume={21}, DOI={<a href=\"https://doi.org/10.52041/serj.v21i2.46\">10.52041/serj.v21i2.46</a>}, number={26}, journal={STATISTICS EDUCATION RESEARCH JOURNAL}, publisher={International Association for Statistical Education}, author={PODWORNY, SUSANNE and Hüsing, Sven and SCHULTE, CARSTEN}, year={2022} }","ama":"PODWORNY S, Hüsing S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. <i>STATISTICS EDUCATION RESEARCH JOURNAL</i>. 2022;21(2). doi:<a href=\"https://doi.org/10.52041/serj.v21i2.46\">10.52041/serj.v21i2.46</a>","mla":"PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” <i>STATISTICS EDUCATION RESEARCH JOURNAL</i>, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/serj.v21i2.46\">10.52041/serj.v21i2.46</a>.","chicago":"PODWORNY, SUSANNE, Sven Hüsing, and CARSTEN SCHULTE. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” <i>STATISTICS EDUCATION RESEARCH JOURNAL</i> 21, no. 2 (2022). <a href=\"https://doi.org/10.52041/serj.v21i2.46\">https://doi.org/10.52041/serj.v21i2.46</a>.","short":"S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).","ieee":"S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” <i>STATISTICS EDUCATION RESEARCH JOURNAL</i>, vol. 21, no. 2, Art. no. 6, 2022, doi: <a href=\"https://doi.org/10.52041/serj.v21i2.46\">10.52041/serj.v21i2.46</a>.","apa":"PODWORNY, S., Hüsing, S., &#38; SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. <i>STATISTICS EDUCATION RESEARCH JOURNAL</i>, <i>21</i>(2), Article 6. <a href=\"https://doi.org/10.52041/serj.v21i2.46\">https://doi.org/10.52041/serj.v21i2.46</a>"},"status":"public","_id":"32335","publisher":"International Association for Statistical Education","user_id":"58465","volume":21,"publication":"STATISTICS EDUCATION RESEARCH JOURNAL","issue":"2","abstract":[{"text":"Aspects of data science surround us in many contexts, for example regarding climate change, air pollution, and other environmental issues. To open the “data-science-black-box” for lower secondary school students we developed a data science project focussing on the analysis of self-collected environmental data. We embed this project in computer science education, which enables us to use a new knowledge-based programming approach for the data analysis within Jupyter Notebooks and the programming language Python. In this paper, we evaluate the second cycle of this project which took place in a ninth-grade computer science class. In particular, we present how the students coped with the professional tool of Jupyter Notebooks for doing statistical investigations and which insights they gained.","lang":"eng"}],"date_created":"2022-07-08T12:06:48Z","keyword":["Education","Statistics and Probability"],"type":"journal_article","department":[{"_id":"67"}],"title":"A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING","year":"2022","author":[{"first_name":"SUSANNE","last_name":"PODWORNY","full_name":"PODWORNY, SUSANNE"},{"id":"58465","first_name":"Sven","last_name":"Hüsing","full_name":"Hüsing, Sven"},{"full_name":"SCHULTE, CARSTEN","last_name":"SCHULTE","first_name":"CARSTEN"}],"publication_identifier":{"issn":["1570-1824"]},"publication_status":"published","date_updated":"2022-07-08T12:07:46Z","intvolume":"        21","article_number":"6","language":[{"iso":"eng"}],"doi":"10.52041/serj.v21i2.46"},{"date_created":"2023-01-10T08:50:47Z","type":"conference","department":[{"_id":"363"},{"_id":"67"}],"publication":"Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics","citation":{"mla":"Fleischer, Franz Yannik, et al. “Jupyter Notebooks for Teaching, Learning, and Doing Data Science.” <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, edited by S. A. Peters et al., International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>.","ama":"Fleischer FY, Hüsing S, Biehler R, Podworny S, Schulte C. Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, eds. <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education; 2022. doi:<a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>","bibtex":"@inproceedings{Fleischer_Hüsing_Biehler_Podworny_Schulte_2022, title={Jupyter Notebooks for Teaching, Learning, and Doing Data Science}, DOI={<a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>}, booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics}, publisher={International Association for Statistical Education}, author={Fleischer, Franz Yannik and Hüsing, Sven and Biehler, Rolf and Podworny, Susanne and Schulte, Carsten}, editor={Peters, S. A. and Zapata-Cardona, L. and Bonafini, F. and Fan, A.}, year={2022} }","apa":"Fleischer, F. Y., Hüsing, S., Biehler, R., Podworny, S., &#38; Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, &#38; A. Fan (Eds.), <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education. <a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">https://doi.org/10.52041/iase.icots11.t10e3</a>","ieee":"F. Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter Notebooks for Teaching, Learning, and Doing Data Science,” in <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, 2022, doi: <a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>.","short":"F.Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, in: S.A. Peters, L. Zapata-Cardona, F. Bonafini, A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, International Association for Statistical Education, 2022.","chicago":"Fleischer, Franz Yannik, Sven Hüsing, Rolf Biehler, Susanne Podworny, and Carsten Schulte. “Jupyter Notebooks for Teaching, Learning, and Doing Data Science.” In <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, edited by S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan. International Association for Statistical Education, 2022. <a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">https://doi.org/10.52041/iase.icots11.t10e3</a>."},"abstract":[{"text":"<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>","lang":"eng"}],"publisher":"International Association for Statistical Education","_id":"35674","language":[{"iso":"eng"}],"doi":"10.52041/iase.icots11.t10e3","user_id":"37888","editor":[{"last_name":"Peters","first_name":"S. A.","full_name":"Peters, S. A."},{"full_name":"Zapata-Cardona, L.","first_name":"L.","last_name":"Zapata-Cardona"},{"last_name":"Bonafini","first_name":"F.","full_name":"Bonafini, F."},{"full_name":"Fan, A.","first_name":"A.","last_name":"Fan"}],"year":"2022","status":"public","title":"Jupyter Notebooks for Teaching, Learning, and Doing Data Science","author":[{"id":"42660","first_name":"Franz Yannik","last_name":"Fleischer","orcid":"https://orcid.org/0000-0003-0318-0329","full_name":"Fleischer, Franz Yannik"},{"id":"58465","first_name":"Sven","last_name":"Hüsing","full_name":"Hüsing, Sven"},{"first_name":"Rolf","last_name":"Biehler","full_name":"Biehler, Rolf","id":"16274"},{"id":"30619","full_name":"Podworny, Susanne","first_name":"Susanne","orcid":"0000-0002-6313-5987","last_name":"Podworny"},{"full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte","id":"60311"}],"date_updated":"2024-08-21T10:03:47Z","publication_status":"published"},{"title":"Grade 6 Students’ Perception and Use of Data-Based Decision Trees","year":"2022","status":"public","author":[{"last_name":"Podworny","first_name":"Susanne","full_name":"Podworny, Susanne"},{"first_name":"Yannik","last_name":"Fleischer","full_name":"Fleischer, Yannik"},{"first_name":"Sven","last_name":"Hüsing","full_name":"Hüsing, Sven","id":"58465"}],"publication_status":"published","date_updated":"2023-01-27T12:24:33Z","_id":"40510","publisher":"International Association for Statistical Education","language":[{"iso":"eng"}],"user_id":"58465","doi":"10.52041/iase.icots11.t2h3","publication":"Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics","citation":{"ama":"Podworny S, Fleischer Y, Hüsing S. Grade 6 Students’ Perception and Use of Data-Based Decision Trees. In: <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education; 2022. doi:<a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>","bibtex":"@inproceedings{Podworny_Fleischer_Hüsing_2022, title={Grade 6 Students’ Perception and Use of Data-Based Decision Trees}, DOI={<a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>}, booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics}, publisher={International Association for Statistical Education}, author={Podworny, Susanne and Fleischer, Yannik and Hüsing, Sven}, year={2022} }","mla":"Podworny, Susanne, et al. “Grade 6 Students’ Perception and Use of Data-Based Decision Trees.” <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>.","chicago":"Podworny, Susanne, Yannik Fleischer, and Sven Hüsing. “Grade 6 Students’ Perception and Use of Data-Based Decision Trees.” In <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education, 2022. <a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">https://doi.org/10.52041/iase.icots11.t2h3</a>.","short":"S. Podworny, Y. Fleischer, S. Hüsing, in: Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, International Association for Statistical Education, 2022.","apa":"Podworny, S., Fleischer, Y., &#38; Hüsing, S. (2022). Grade 6 Students’ Perception and Use of Data-Based Decision Trees. <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. <a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">https://doi.org/10.52041/iase.icots11.t2h3</a>","ieee":"S. Podworny, Y. Fleischer, and S. Hüsing, “Grade 6 Students’ Perception and Use of Data-Based Decision Trees,” 2022, doi: <a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>."},"abstract":[{"lang":"eng","text":"<jats:p>Decision-making processes are often based on data and data-driven machine learning methods in different areas such as recommender systems, medicine, criminalistics, etc. Well-informed citizens need at least a minimal understanding and critical reflection of corresponding data-driven machine learning methods. Decision trees are a method that can foster a preformal understanding of machine learning. We developed an exploratory teaching unit introducing decision trees in grade 6 along the question “How can Artificial Intelligence help us decide whether food is rather recommendable or not?” Students’ performances in an assessment task and self-assessment show that young learners can use a decision tree to classify new items and that they found the corresponding teaching unit informative.</jats:p>"}],"date_created":"2023-01-27T12:23:45Z","type":"conference","department":[{"_id":"67"}]},{"title":"Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School","year":"2022","status":"public","author":[{"first_name":"Sven","last_name":"Hüsing","full_name":"Hüsing, Sven","id":"58465"},{"full_name":"Podworny, Susanne","first_name":"Susanne","last_name":"Podworny"}],"publication_status":"published","date_updated":"2023-01-30T12:10:57Z","main_file_link":[{"url":"https://iase-web.org/documents/papers/sat2021/IASE2021%20Satellite%20156_HUSING.pdf?1649974216"}],"language":[{"iso":"eng"}],"_id":"30937","publisher":"International Association for Statistical Education","user_id":"58465","doi":"10.52041/iase.zwwoh","publication":"Proceedings of the IASE 2021 Satellite Conference","citation":{"mla":"Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for Reproducible Data Analysis in Lower Secondary School.” <i>Proceedings of the IASE 2021 Satellite Conference</i>, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>.","ama":"Hüsing S, Podworny S. Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School. In: <i>Proceedings of the IASE 2021 Satellite Conference</i>. International Association for Statistical Education; 2022. doi:<a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>","bibtex":"@inproceedings{Hüsing_Podworny_2022, title={Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School}, DOI={<a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>}, booktitle={Proceedings of the IASE 2021 Satellite Conference}, publisher={International Association for Statistical Education}, author={Hüsing, Sven and Podworny, Susanne}, year={2022} }","apa":"Hüsing, S., &#38; Podworny, S. (2022). Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School. <i>Proceedings of the IASE 2021 Satellite Conference</i>. <a href=\"https://doi.org/10.52041/iase.zwwoh\">https://doi.org/10.52041/iase.zwwoh</a>","ieee":"S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School,” 2022, doi: <a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>.","short":"S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022.","chicago":"Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for Reproducible Data Analysis in Lower Secondary School.” In <i>Proceedings of the IASE 2021 Satellite Conference</i>. International Association for Statistical Education, 2022. <a href=\"https://doi.org/10.52041/iase.zwwoh\">https://doi.org/10.52041/iase.zwwoh</a>."},"abstract":[{"lang":"eng","text":"<jats:p>Data Science has become an increasingly important aspect of our everyday lives as we gain a lot of different insights from data analyses, for example in the context of environmental issues. In order to make the process of data analyses comprehensible for lower secondary school students, we developed a data analysis project for computer science classes, focusing on gaining insights from environmental data by using the concept of epistemic programming. In this article, we report on the second implementation of this project, which was conducted in a ninth-grade computer science class. Concretely, we want to examine, how far the students were able to create computational essays to conduct reproducible data analyses on their own. In this regard, the computational essays created with the help of the professional tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.</jats:p>"}],"date_created":"2022-04-22T08:30:59Z","type":"conference","department":[{"_id":"67"}]},{"date_created":"2021-11-16T08:15:11Z","department":[{"_id":"67"}],"type":"conference","citation":{"ieee":"S. Hüsing, “Epistemic Programming - An insight-driven programming concept for Data Science,” in <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i>, 2021, p. 42:1-42:3, doi: <a href=\"https://doi.org/10.1145/3488042.3490510\">10.1145/3488042.3490510</a>.","mla":"Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept for Data Science.” <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i>, edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 42:1-42:3, doi:<a href=\"https://doi.org/10.1145/3488042.3490510\">10.1145/3488042.3490510</a>.","apa":"Hüsing, S. (2021). Epistemic Programming - An insight-driven programming concept for Data Science. In O. Seppälä &#38; A. Petersen (Eds.), <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i> (p. 42:1-42:3). ACM. <a href=\"https://doi.org/10.1145/3488042.3490510\">https://doi.org/10.1145/3488042.3490510</a>","bibtex":"@inproceedings{Hüsing_2021, title={Epistemic Programming - An insight-driven programming concept for Data Science}, DOI={<a href=\"https://doi.org/10.1145/3488042.3490510\">10.1145/3488042.3490510</a>}, booktitle={Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021}, publisher={ACM}, author={Hüsing, Sven}, editor={Seppälä, Otto and Petersen, Andrew}, year={2021}, pages={42:1-42:3} }","chicago":"Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept for Data Science.” In <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i>, edited by Otto Seppälä and Andrew Petersen, 42:1-42:3. ACM, 2021. <a href=\"https://doi.org/10.1145/3488042.3490510\">https://doi.org/10.1145/3488042.3490510</a>.","ama":"Hüsing S. Epistemic Programming - An insight-driven programming concept for Data Science. In: Seppälä O, Petersen A, eds. <i>Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021</i>. ACM; 2021:42:1-42:3. doi:<a href=\"https://doi.org/10.1145/3488042.3490510\">10.1145/3488042.3490510</a>","short":"S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3."},"publication":"Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021","_id":"27494","language":[{"iso":"eng"}],"publisher":"ACM","page":"42:1-42:3","editor":[{"last_name":"Seppälä","first_name":"Otto","full_name":"Seppälä, Otto"},{"full_name":"Petersen, Andrew","first_name":"Andrew","last_name":"Petersen"}],"user_id":"21145","doi":"10.1145/3488042.3490510","author":[{"last_name":"Hüsing","first_name":"Sven","full_name":"Hüsing, Sven","id":"58465"}],"title":"Epistemic Programming - An insight-driven programming concept for Data Science","year":"2021","status":"public","date_updated":"2022-01-06T06:57:40Z"},{"date_updated":"2022-01-06T06:57:40Z","author":[{"full_name":"Bovermann, Klaus","first_name":"Klaus","last_name":"Bovermann"},{"first_name":"Yannik","last_name":"Fleischer","full_name":"Fleischer, Yannik"},{"id":"58465","full_name":"Hüsing, Sven","last_name":"Hüsing","first_name":"Sven"},{"last_name":"Opitz","first_name":"Christian","full_name":"Opitz, Christian"}],"title":"Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen","year":"2021","status":"public","volume":"P-313","editor":[{"last_name":"Humbert","first_name":"Ludger","full_name":"Humbert, Ludger"}],"user_id":"21145","doi":"10.18420/infos2021\\_w283","_id":"27495","series_title":"LNI","language":[{"iso":"ger"}],"publisher":"Gesellschaft für Informatik, Bonn","page":"319","citation":{"chicago":"Bovermann, Klaus, Yannik Fleischer, Sven Hüsing, and Christian Opitz. “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen.” In <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>, edited by Ludger Humbert, P-313:319. LNI. Gesellschaft für Informatik, Bonn, 2021. <a href=\"https://doi.org/10.18420/infos2021\\_w283\">https://doi.org/10.18420/infos2021\\_w283</a>.","short":"K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.","ama":"Bovermann K, Fleischer Y, Hüsing S, Opitz C. Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In: Humbert L, ed. <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:319. doi:<a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>","bibtex":"@inproceedings{Bovermann_Fleischer_Hüsing_Opitz_2021, series={LNI}, title={Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen}, volume={P-313}, DOI={<a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>}, booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Bovermann, Klaus and Fleischer, Yannik and Hüsing, Sven and Opitz, Christian}, editor={Humbert, Ludger}, year={2021}, pages={319}, collection={LNI} }","mla":"Bovermann, Klaus, et al. “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen.” <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>, edited by Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 319, doi:<a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>.","apa":"Bovermann, K., Fleischer, Y., Hüsing, S., &#38; Opitz, C. (2021). Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In L. Humbert (Ed.), <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313</i> (p. 319). Gesellschaft für Informatik, Bonn. <a href=\"https://doi.org/10.18420/infos2021\\_w283\">https://doi.org/10.18420/infos2021\\_w283</a>","ieee":"K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen,” in <i>19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021</i>, 2021, vol. P-313, p. 319, doi: <a href=\"https://doi.org/10.18420/infos2021\\_w283\">10.18420/infos2021\\_w283</a>."},"publication":"19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021","department":[{"_id":"67"}],"type":"conference","date_created":"2021-11-16T08:16:32Z"},{"type":"journal_article","department":[{"_id":"363"}],"date_created":"2023-01-10T10:29:36Z","publication":"mathematik lehren","issue":"228","citation":{"mla":"Hüsing, Sven, et al. “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion.” <i>mathematik lehren</i>, vol. 2021, no. 228, Friedrich Verlag, 2021, pp. 23–27.","bibtex":"@article{Hüsing_Weiser_Biehler_2021, title={Faszination 3D-Film: Entwicklung einer 3D-Konstruktion}, volume={2021}, number={228}, journal={mathematik lehren}, publisher={Friedrich Verlag}, author={Hüsing, Sven and Weiser, Niklas and Biehler, Rolf}, year={2021}, pages={23–27} }","ama":"Hüsing S, Weiser N, Biehler R. Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. <i>mathematik lehren</i>. 2021;2021(228):23–27.","ieee":"S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion,” <i>mathematik lehren</i>, vol. 2021, no. 228, pp. 23–27, 2021.","apa":"Hüsing, S., Weiser, N., &#38; Biehler, R. (2021). Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. <i>mathematik lehren</i>, <i>2021</i>(228), 23–27.","short":"S. Hüsing, N. Weiser, R. Biehler, mathematik lehren 2021 (2021) 23–27.","chicago":"Hüsing, Sven, Niklas Weiser, and Rolf Biehler. “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion.” <i>mathematik lehren</i> 2021, no. 228 (2021): 23–27."},"user_id":"37888","volume":2021,"page":"23–27","language":[{"iso":"ger"}],"_id":"35763","publisher":"Friedrich Verlag","date_updated":"2024-04-18T09:48:24Z","intvolume":"      2021","title":"Faszination 3D-Film: Entwicklung einer 3D-Konstruktion","status":"public","year":"2021","author":[{"last_name":"Hüsing","first_name":"Sven","full_name":"Hüsing, Sven","id":"58465"},{"first_name":"Niklas","last_name":"Weiser","full_name":"Weiser, Niklas"},{"id":"16274","full_name":"Biehler, Rolf","first_name":"Rolf","last_name":"Biehler"}]},{"status":"public","has_accepted_license":"1","_id":"29702","publisher":"LOG IN Verlag","page":"31-38","volume":41,"user_id":"58041","ddc":["370"],"citation":{"bibtex":"@article{Höper_Hüsing_Malatyali_Schulte_Budde_2021, title={Methodik für Datenprojekte im Informatikunterricht}, volume={41}, number={1}, journal={LOG IN}, publisher={LOG IN Verlag}, author={Höper, Lukas and Hüsing, Sven and Malatyali, Hülya and Schulte, Carsten and Budde, Lea}, year={2021}, pages={31–38} }","chicago":"Höper, Lukas, Sven Hüsing, Hülya Malatyali, Carsten Schulte, and Lea Budde. “Methodik Für Datenprojekte Im Informatikunterricht.” <i>LOG IN</i> 41, no. 1 (2021): 31–38.","ama":"Höper L, Hüsing S, Malatyali H, Schulte C, Budde L. Methodik für Datenprojekte im Informatikunterricht. <i>LOG IN</i>. 2021;41(1):31-38.","short":"L. Höper, S. Hüsing, H. Malatyali, C. Schulte, L. Budde, LOG IN 41 (2021) 31–38.","ieee":"L. Höper, S. Hüsing, H. Malatyali, C. Schulte, and L. Budde, “Methodik für Datenprojekte im Informatikunterricht,” <i>LOG IN</i>, vol. 41, no. 1, pp. 31–38, 2021.","apa":"Höper, L., Hüsing, S., Malatyali, H., Schulte, C., &#38; Budde, L. (2021). Methodik für Datenprojekte im Informatikunterricht. <i>LOG IN</i>, <i>41</i>(1), 31–38.","mla":"Höper, Lukas, et al. “Methodik Für Datenprojekte Im Informatikunterricht.” <i>LOG IN</i>, vol. 41, no. 1, LOG IN Verlag, 2021, pp. 31–38."},"file_date_updated":"2024-09-05T12:01:29Z","oa":"1","author":[{"id":"58041","last_name":"Höper","first_name":"Lukas","full_name":"Höper, Lukas"},{"full_name":"Hüsing, Sven","first_name":"Sven","last_name":"Hüsing","id":"58465"},{"id":"4076","last_name":"Malatyali","first_name":"Hülya","full_name":"Malatyali, Hülya"},{"full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte","id":"60311"},{"first_name":"Lea","last_name":"Budde","full_name":"Budde, Lea","id":"32443"}],"title":"Methodik für Datenprojekte im Informatikunterricht","year":"2021","intvolume":"        41","date_updated":"2024-09-05T12:01:29Z","language":[{"iso":"eng"}],"issue":"1","publication":"LOG IN","date_created":"2022-01-31T12:18:52Z","file":[{"access_level":"open_access","file_size":179106,"file_name":"Höper et al_2021_Methodik für Datenprojekte im Informatikunterricht.pdf","date_updated":"2024-09-05T12:01:29Z","relation":"main_file","content_type":"application/pdf","file_id":"56076","creator":"hoeper","date_created":"2024-09-05T11:58:59Z"}],"department":[{"_id":"67"}],"type":"journal_article"},{"date_created":"2022-01-31T14:08:16Z","department":[{"_id":"67"}],"type":"journal_article","citation":{"bibtex":"@article{Podworny_Höper_Fleischer_Hüsing_Schulte_2021, title={Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein}, journal={INFOS 2021–19. GI-Fachtagung Informatik und Schule}, publisher={Gesellschaft für Informatik, Bonn}, author={Podworny, Susanne and Höper, Lukas and Fleischer, Yannik and Hüsing, Sven and Schulte, Carsten}, year={2021} }","ama":"Podworny S, Höper L, Fleischer Y, Hüsing S, Schulte C. Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein. <i>INFOS 2021–19 GI-Fachtagung Informatik und Schule</i>. Published online 2021.","mla":"Podworny, Susanne, et al. “Data Science Ab Klasse 5–Konkrete Unterrichtsvorschläge Für Künstliche Intelligenz Unplugged Und Datenbewusstsein.” <i>INFOS 2021–19. GI-Fachtagung Informatik Und Schule</i>, Gesellschaft für Informatik, Bonn, 2021.","short":"S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, C. Schulte, INFOS 2021–19. GI-Fachtagung Informatik Und Schule (2021).","chicago":"Podworny, Susanne, Lukas Höper, Yannik Fleischer, Sven Hüsing, and Carsten Schulte. “Data Science Ab Klasse 5–Konkrete Unterrichtsvorschläge Für Künstliche Intelligenz Unplugged Und Datenbewusstsein.” <i>INFOS 2021–19. GI-Fachtagung Informatik Und Schule</i>, 2021.","ieee":"S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,” <i>INFOS 2021–19. GI-Fachtagung Informatik und Schule</i>, 2021.","apa":"Podworny, S., Höper, L., Fleischer, Y., Hüsing, S., &#38; Schulte, C. (2021). Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein. <i>INFOS 2021–19. GI-Fachtagung Informatik Und Schule</i>."},"publication":"INFOS 2021–19. GI-Fachtagung Informatik und Schule","_id":"29710","publisher":"Gesellschaft für Informatik, Bonn","language":[{"iso":"eng"}],"user_id":"58465","author":[{"first_name":"Susanne","last_name":"Podworny","full_name":"Podworny, Susanne"},{"full_name":"Höper, Lukas","last_name":"Höper","first_name":"Lukas"},{"full_name":"Fleischer, Yannik","last_name":"Fleischer","first_name":"Yannik"},{"full_name":"Hüsing, Sven","last_name":"Hüsing","first_name":"Sven","id":"58465"},{"full_name":"Schulte, Carsten","last_name":"Schulte","first_name":"Carsten"}],"year":"2021","status":"public","title":"Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein","date_updated":"2023-01-30T12:10:43Z"}]
