[{"file_date_updated":"2024-11-19T07:25:56Z","user_id":"58041","department":[{"_id":"67"}],"_id":"47151","status":"public","type":"journal_article","main_file_link":[{"open_access":"1","url":"https://infedu.vu.lt/journal/INFEDU/article/772/info"}],"doi":"10.15388/infedu.2024.09","author":[{"first_name":"Felix","last_name":"Winkelnkemper","id":"3117","full_name":"Winkelnkemper, Felix"},{"last_name":"Höper","full_name":"Höper, Lukas","id":"58041","first_name":"Lukas"},{"last_name":"Schulte","id":"60311","full_name":"Schulte, Carsten","first_name":"Carsten"}],"date_updated":"2024-11-19T07:26:12Z","oa":"1","citation":{"apa":"Winkelnkemper, F., Höper, L., &#38; Schulte, C. (2023). ARIadne – An Explanation Model for Digital Artefacts. <i>Informatics in Education</i>. <a href=\"https://doi.org/10.15388/infedu.2024.09\">https://doi.org/10.15388/infedu.2024.09</a>","short":"F. Winkelnkemper, L. Höper, C. Schulte, Informatics in Education (2023).","bibtex":"@article{Winkelnkemper_Höper_Schulte_2023, title={ARIadne – An Explanation Model for Digital Artefacts}, DOI={<a href=\"https://doi.org/10.15388/infedu.2024.09\">10.15388/infedu.2024.09</a>}, journal={Informatics in Education}, publisher={Vilnius University Press}, author={Winkelnkemper, Felix and Höper, Lukas and Schulte, Carsten}, year={2023} }","mla":"Winkelnkemper, Felix, et al. “ARIadne – An Explanation Model for Digital Artefacts.” <i>Informatics in Education</i>, Vilnius University Press, 2023, doi:<a href=\"https://doi.org/10.15388/infedu.2024.09\">10.15388/infedu.2024.09</a>.","chicago":"Winkelnkemper, Felix, Lukas Höper, and Carsten Schulte. “ARIadne – An Explanation Model for Digital Artefacts.” <i>Informatics in Education</i>, 2023. <a href=\"https://doi.org/10.15388/infedu.2024.09\">https://doi.org/10.15388/infedu.2024.09</a>.","ieee":"F. Winkelnkemper, L. Höper, and C. Schulte, “ARIadne – An Explanation Model for Digital Artefacts,” <i>Informatics in Education</i>, 2023, doi: <a href=\"https://doi.org/10.15388/infedu.2024.09\">10.15388/infedu.2024.09</a>.","ama":"Winkelnkemper F, Höper L, Schulte C. ARIadne – An Explanation Model for Digital Artefacts. <i>Informatics in Education</i>. Published online 2023. doi:<a href=\"https://doi.org/10.15388/infedu.2024.09\">10.15388/infedu.2024.09</a>"},"publication_status":"published","publication_identifier":{"issn":["1648-5831","2335-8971"]},"has_accepted_license":"1","language":[{"iso":"eng"}],"ddc":["000","370"],"keyword":["Computer Science Applications","Communication","Education","General Engineering"],"file":[{"creator":"hoeper","date_created":"2024-11-19T07:25:56Z","date_updated":"2024-11-19T07:25:56Z","file_name":"infedu.2024.15.pdf","access_level":"closed","file_id":"57215","file_size":1034363,"content_type":"application/pdf","relation":"main_file","success":1}],"abstract":[{"lang":"eng","text":"<jats:p>When it comes to mastering the digital world, the education system is more and more facing the task of making students competent and self-determined agents when interacting with digital artefacts. This task often falls to computing education. In the traditional fields of computing education, a plethora of models, guidelines, and principles exist, which help scholars and teachers identify what the relevant aspects are and which of them one should cover in the classroom. When it comes to explaining the world of digital artefacts, however, there is hardly any such guiding model. The ARIadne model introduced in this paper provides a means of explanation and exploration of digital artefacts which help teachers and students to do a subject analysis of digital artefacts by scrutinizing them from several perspectives. Instead of artificially separating aspects which target the same phenomena within different areas of education (like computing, ICT or media education), the model integrates technological aspects of digital artefacts and the relevant societal discourses of their usage, their impacts and the reasons behind their development into a coherent explanation model.</jats:p>"}],"publication":"Informatics in Education","title":"ARIadne – An Explanation Model for Digital Artefacts","date_created":"2023-09-21T11:24:41Z","publisher":"Vilnius University Press","year":"2023","quality_controlled":"1"},{"language":[{"iso":"eng"}],"project":[{"_id":"114","name":"TRR 318 - A04: TRR 318 - Integration des technischen Modells in das Partnermodell bei der Erklärung von digitalen Artefakten (Teilprojekt A04)","grant_number":"438445824"}],"_id":"47448","user_id":"90826","department":[{"_id":"67"},{"_id":"660"}],"abstract":[{"text":"In XAI it is important to consider that, in contrast to explanations for professional audiences, one cannot assume common expertise when explaining for laypeople. But such explanations between humans vary greatly, making it difficult to research commonalities across explanations. We used the dual nature theory, a techno-philosophical approach, to cope with these challenges. According to it, one can explain, for example, an XAI's decision by addressing its dual nature: by focusing on the Architecture (e.g., the logic of its algorithms) or the Relevance (e.g., the severity of a decision, the implications of a recommendation). We investigated 20 game explanations using the theory as an analytical framework. We elaborate how we used the theory to quickly structure and compare explanations of technological artifacts. We supplemented results from analyzing the explanation contents with results from a video recall to explore how explainers justified their explanation. We found that explainers were focusing on the physical aspects of the game first (Architecture) and only later on aspects of the Relevance. Reasoning in the video recalls indicated that EX regarded the focus on the Architecture as important for structuring the explanation initially by explaining the basic components before focusing on more complex, intangible aspects. Shifting between addressing the two sides was justified by explanation goals, emerging misunderstandings, and the knowledge needs of the explainee. We discovered several commonalities that inspire future research questions which, if further generalizable, provide first ideas for the construction of synthetic explanations.","lang":"eng"}],"status":"public","type":"conference","title":"Adding Why to What? Analyses of an Everyday Explanation","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-44070-0_13","open_access":"1"}],"conference":{"location":"Lisboa","end_date":"2023-07-28","start_date":"2023-07-26","name":"1st World Conference on eXplainable Artificial Intelligence (xAI 2023)"},"doi":"10.1007/978-3-031-44070-0_13","oa":"1","publisher":"Springer, Cham","date_updated":"2025-08-12T07:54:19Z","date_created":"2023-09-26T12:00:06Z","author":[{"first_name":"Lutz","last_name":"Terfloth","id":"37320","full_name":"Terfloth, Lutz"},{"first_name":"Michael","full_name":"Schaffer, Michael","last_name":"Schaffer"},{"first_name":"Heike M.","last_name":"Buhl","id":"27152","full_name":"Buhl, Heike M."},{"first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten","id":"60311"}],"year":"2023","citation":{"bibtex":"@inproceedings{Terfloth_Schaffer_Buhl_Schulte_2023, title={Adding Why to What? Analyses of an Everyday Explanation}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-44070-0_13\">10.1007/978-3-031-44070-0_13</a>}, publisher={Springer, Cham}, author={Terfloth, Lutz and Schaffer, Michael and Buhl, Heike M. and Schulte, Carsten}, year={2023} }","mla":"Terfloth, Lutz, et al. <i>Adding Why to What? Analyses of an Everyday Explanation</i>. Springer, Cham, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-44070-0_13\">10.1007/978-3-031-44070-0_13</a>.","short":"L. Terfloth, M. Schaffer, H.M. Buhl, C. Schulte, in: Springer, Cham, 2023.","apa":"Terfloth, L., Schaffer, M., Buhl, H. M., &#38; Schulte, C. (2023). <i>Adding Why to What? Analyses of an Everyday Explanation</i>. 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa. <a href=\"https://doi.org/10.1007/978-3-031-44070-0_13\">https://doi.org/10.1007/978-3-031-44070-0_13</a>","ieee":"L. Terfloth, M. Schaffer, H. M. Buhl, and C. Schulte, “Adding Why to What? Analyses of an Everyday Explanation,” presented at the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa, 2023, doi: <a href=\"https://doi.org/10.1007/978-3-031-44070-0_13\">10.1007/978-3-031-44070-0_13</a>.","chicago":"Terfloth, Lutz, Michael Schaffer, Heike M. Buhl, and Carsten Schulte. “Adding Why to What? Analyses of an Everyday Explanation.” Springer, Cham, 2023. <a href=\"https://doi.org/10.1007/978-3-031-44070-0_13\">https://doi.org/10.1007/978-3-031-44070-0_13</a>.","ama":"Terfloth L, Schaffer M, Buhl HM, Schulte C. Adding Why to What? Analyses of an Everyday Explanation. In: Springer, Cham; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-44070-0_13\">10.1007/978-3-031-44070-0_13</a>"},"publication_status":"published","publication_identifier":{"isbn":["978-3-031-44069-4"]}},{"_id":"32335","department":[{"_id":"67"}],"user_id":"58465","keyword":["Education","Statistics and Probability"],"article_number":"6","language":[{"iso":"eng"}],"publication":"STATISTICS EDUCATION RESEARCH JOURNAL","type":"journal_article","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"}],"status":"public","date_updated":"2022-07-08T12:07:46Z","publisher":"International Association for Statistical Education","volume":21,"author":[{"last_name":"PODWORNY","full_name":"PODWORNY, SUSANNE","first_name":"SUSANNE"},{"full_name":"Hüsing, Sven","id":"58465","last_name":"Hüsing","first_name":"Sven"},{"last_name":"SCHULTE","full_name":"SCHULTE, CARSTEN","first_name":"CARSTEN"}],"date_created":"2022-07-08T12:06:48Z","title":"A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING","doi":"10.52041/serj.v21i2.46","publication_identifier":{"issn":["1570-1824"]},"publication_status":"published","issue":"2","year":"2022","intvolume":"        21","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} }","short":"S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).","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>.","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>","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>","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>.","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>."}},{"publication_status":"published","year":"2022","citation":{"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>.","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>.","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>","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>","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>.","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} }","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."},"publisher":"International Association for Statistical Education","date_updated":"2024-08-21T10:03:47Z","date_created":"2023-01-10T08:50:47Z","author":[{"full_name":"Fleischer, Franz Yannik","id":"42660","last_name":"Fleischer","orcid":"https://orcid.org/0000-0003-0318-0329","first_name":"Franz Yannik"},{"first_name":"Sven","full_name":"Hüsing, Sven","id":"58465","last_name":"Hüsing"},{"last_name":"Biehler","full_name":"Biehler, Rolf","id":"16274","first_name":"Rolf"},{"first_name":"Susanne","full_name":"Podworny, Susanne","id":"30619","orcid":"0000-0002-6313-5987","last_name":"Podworny"},{"id":"60311","full_name":"Schulte, Carsten","last_name":"Schulte","first_name":"Carsten"}],"title":"Jupyter Notebooks for Teaching, Learning, and Doing Data Science","doi":"10.52041/iase.icots11.t10e3","type":"conference","publication":"Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics","abstract":[{"lang":"eng","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>"}],"editor":[{"first_name":"S. A.","full_name":"Peters, S. A.","last_name":"Peters"},{"first_name":"L.","full_name":"Zapata-Cardona, L.","last_name":"Zapata-Cardona"},{"full_name":"Bonafini, F.","last_name":"Bonafini","first_name":"F."},{"first_name":"A.","last_name":"Fan","full_name":"Fan, A."}],"status":"public","_id":"35674","user_id":"37888","department":[{"_id":"363"},{"_id":"67"}],"language":[{"iso":"eng"}]},{"publisher":"International Association for Statistical Education","date_updated":"2024-08-21T10:04:41Z","date_created":"2023-01-10T08:48:23Z","author":[{"id":"42660","full_name":"Fleischer, Franz Yannik","last_name":"Fleischer","orcid":"https://orcid.org/0000-0003-0318-0329","first_name":"Franz Yannik"},{"first_name":"Rolf","last_name":"Biehler","full_name":"Biehler, Rolf","id":"16274"},{"first_name":"Carsten","last_name":"Schulte","id":"60311","full_name":"Schulte, Carsten"}],"volume":21,"title":"Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks","doi":"10.52041/serj.v21i2.61","publication_status":"published","publication_identifier":{"issn":["1570-1824"]},"issue":"2","year":"2022","citation":{"ama":"Fleischer FY, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. <i>Statistics Education Research Journal</i>. 2022;21(2). doi:<a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>","chicago":"Fleischer, Franz Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.” <i>Statistics Education Research Journal</i> 21, no. 2 (2022). <a href=\"https://doi.org/10.52041/serj.v21i2.61\">https://doi.org/10.52041/serj.v21i2.61</a>.","ieee":"F. Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,” <i>Statistics Education Research Journal</i>, vol. 21, no. 2, Art. no. 7, 2022, doi: <a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>.","bibtex":"@article{Fleischer_Biehler_Schulte_2022, title={Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks}, volume={21}, DOI={<a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>}, number={27}, journal={Statistics Education Research Journal}, publisher={International Association for Statistical Education}, author={Fleischer, Franz Yannik and Biehler, Rolf and Schulte, Carsten}, year={2022} }","short":"F.Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal 21 (2022).","mla":"Fleischer, Franz Yannik, et al. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.” <i>Statistics Education Research Journal</i>, vol. 21, no. 2, 7, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>.","apa":"Fleischer, F. Y., Biehler, R., &#38; Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. <i>Statistics Education Research Journal</i>, <i>21</i>(2), Article 7. <a href=\"https://doi.org/10.52041/serj.v21i2.61\">https://doi.org/10.52041/serj.v21i2.61</a>"},"intvolume":"        21","_id":"35672","user_id":"37888","department":[{"_id":"363"},{"_id":"67"}],"article_number":"7","keyword":["Education","Statistics and Probability"],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Statistics Education Research Journal","abstract":[{"text":"<jats:p>This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students’ work is based on a teaching module about decision trees in machine learning and a worked example of such a modelling process. The study outlines the students’ performance in carrying out the machine learning technically and reasoning about bias in the data, different data preparation steps, the application context, and the resulting decision model. Furthermore, the context of the study and the theoretical backgrounds are presented.</jats:p>","lang":"eng"}],"status":"public"},{"title":"Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities","author":[{"first_name":"Felix","id":"3117","full_name":"Winkelnkemper, Felix","last_name":"Winkelnkemper"},{"first_name":"Tobias","last_name":"Huhmann","full_name":"Huhmann, Tobias"},{"first_name":"Dominik","last_name":"Bechinie","full_name":"Bechinie, Dominik"},{"first_name":"Katja","last_name":"Eilerts","full_name":"Eilerts, Katja"},{"first_name":"Michael","full_name":"Lenke, Michael","last_name":"Lenke"},{"first_name":"Carsten","id":"60311","full_name":"Schulte, Carsten","last_name":"Schulte"}],"date_created":"2023-01-23T15:19:44Z","date_updated":"2023-01-24T09:17:22Z","citation":{"ama":"Winkelnkemper F, Huhmann T, Bechinie D, Eilerts K, Lenke M, Schulte C. Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities. In: <i>Society for Information Technology &#38; Teacher Education International Conference</i>. ; 2022:1407–1413.","chicago":"Winkelnkemper, Felix, Tobias Huhmann, Dominik Bechinie, Katja Eilerts, Michael Lenke, and Carsten Schulte. “Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities.” In <i>Society for Information Technology &#38; Teacher Education International Conference</i>, 1407–1413, 2022.","ieee":"F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, and C. Schulte, “Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities,” in <i>Society for Information Technology &#38; Teacher Education International Conference</i>, 2022, pp. 1407–1413.","mla":"Winkelnkemper, Felix, et al. “Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities.” <i>Society for Information Technology &#38; Teacher Education International Conference</i>, 2022, pp. 1407–1413.","short":"F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, C. Schulte, in: Society for Information Technology &#38; Teacher Education International Conference, 2022, pp. 1407–1413.","bibtex":"@inproceedings{Winkelnkemper_Huhmann_Bechinie_Eilerts_Lenke_Schulte_2022, title={Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities}, booktitle={Society for Information Technology &#38; Teacher Education International Conference}, author={Winkelnkemper, Felix and Huhmann, Tobias and Bechinie, Dominik and Eilerts, Katja and Lenke, Michael and Schulte, Carsten}, year={2022}, pages={1407–1413} }","apa":"Winkelnkemper, F., Huhmann, T., Bechinie, D., Eilerts, K., Lenke, M., &#38; Schulte, C. (2022). Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities. <i>Society for Information Technology &#38; Teacher Education International Conference</i>, 1407–1413."},"page":"1407–1413","year":"2022","language":[{"iso":"eng"}],"keyword":["⛔ No DOI found"],"user_id":"21145","department":[{"_id":"67"}],"_id":"38158","status":"public","type":"conference","publication":"Society for Information Technology & Teacher Education International Conference"},{"_id":"39080","series_title":"Kirche in Zeiten der Veränderung","user_id":"21145","department":[{"_id":"67"}],"language":[{"iso":"eng"}],"type":"book_chapter","publication":"Theologie im Übergang - Identität - Digitalisierung - Dialog","status":"public","date_updated":"2023-01-24T09:18:30Z","publisher":"Herder","date_created":"2023-01-24T09:11:30Z","author":[{"first_name":"Carsten","last_name":"Schulte","id":"60311","full_name":"Schulte, Carsten"},{"first_name":"Felix","last_name":"Winkelnkemper","full_name":"Winkelnkemper, Felix","id":"3117"}],"title":"Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik","place":"Freiburg im Breisgau","year":"2022","citation":{"apa":"Schulte, C., &#38; Winkelnkemper, F. (2022). Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik. In <i>Theologie im Übergang - Identität - Digitalisierung - Dialog</i> (pp. 117–135). Herder.","mla":"Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance Und Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” <i>Theologie Im Übergang - Identität - Digitalisierung - Dialog</i>, Herder, 2022, pp. 117–135.","bibtex":"@inbook{Schulte_Winkelnkemper_2022, place={Freiburg im Breisgau}, series={Kirche in Zeiten der Veränderung}, title={Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik}, booktitle={Theologie im Übergang - Identität - Digitalisierung - Dialog}, publisher={Herder}, author={Schulte, Carsten and Winkelnkemper, Felix}, year={2022}, pages={117–135}, collection={Kirche in Zeiten der Veränderung} }","short":"C. Schulte, F. Winkelnkemper, in: Theologie Im Übergang - Identität - Digitalisierung - Dialog, Herder, Freiburg im Breisgau, 2022, pp. 117–135.","ama":"Schulte C, Winkelnkemper F. Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik. In: <i>Theologie Im Übergang - Identität - Digitalisierung - Dialog</i>. Kirche in Zeiten der Veränderung. Herder; 2022:117–135.","chicago":"Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance Und Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” In <i>Theologie Im Übergang - Identität - Digitalisierung - Dialog</i>, 117–135. Kirche in Zeiten Der Veränderung. Freiburg im Breisgau: Herder, 2022.","ieee":"C. Schulte and F. Winkelnkemper, “Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik,” in <i>Theologie im Übergang - Identität - Digitalisierung - Dialog</i>, Freiburg im Breisgau: Herder, 2022, pp. 117–135."},"page":"117–135"},{"publication":"EDULEARN22 Proceedings","type":"conference","status":"public","_id":"38160","department":[{"_id":"67"}],"user_id":"21145","language":[{"iso":"eng"}],"year":"2022","page":"10017–10026","citation":{"chicago":"Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” In <i>EDULEARN22 Proceedings</i>, 10017–10026, 2022. <a href=\"https://doi.org/10.21125/edulearn.2022.2416\">https://doi.org/10.21125/edulearn.2022.2416</a>.","ieee":"T. Huhmann and F. Winkelnkemper, “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS,” in <i>EDULEARN22 Proceedings</i>, 2022, pp. 10017–10026, doi: <a href=\"https://doi.org/10.21125/edulearn.2022.2416\">10.21125/edulearn.2022.2416</a>.","ama":"Huhmann T, Winkelnkemper F. SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. In: <i>EDULEARN22 Proceedings</i>. ; 2022:10017–10026. doi:<a href=\"https://doi.org/10.21125/edulearn.2022.2416\">10.21125/edulearn.2022.2416</a>","apa":"Huhmann, T., &#38; Winkelnkemper, F. (2022). SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. <i>EDULEARN22 Proceedings</i>, 10017–10026. <a href=\"https://doi.org/10.21125/edulearn.2022.2416\">https://doi.org/10.21125/edulearn.2022.2416</a>","short":"T. Huhmann, F. Winkelnkemper, in: EDULEARN22 Proceedings, 2022, pp. 10017–10026.","bibtex":"@inproceedings{Huhmann_Winkelnkemper_2022, title={SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS}, DOI={<a href=\"https://doi.org/10.21125/edulearn.2022.2416\">10.21125/edulearn.2022.2416</a>}, booktitle={EDULEARN22 Proceedings}, author={Huhmann, Tobias and Winkelnkemper, Felix}, year={2022}, pages={10017–10026} }","mla":"Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” <i>EDULEARN22 Proceedings</i>, 2022, pp. 10017–10026, doi:<a href=\"https://doi.org/10.21125/edulearn.2022.2416\">10.21125/edulearn.2022.2416</a>."},"date_updated":"2023-01-24T09:17:28Z","date_created":"2023-01-23T15:21:21Z","author":[{"first_name":"Tobias","last_name":"Huhmann","full_name":"Huhmann, Tobias"},{"first_name":"Felix","last_name":"Winkelnkemper","full_name":"Winkelnkemper, Felix"}],"title":"SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS","doi":"10.21125/edulearn.2022.2416"},{"title":"Pentomino Digital - Mit Einer App Geometrie Lernen","date_updated":"2023-01-24T09:17:10Z","author":[{"first_name":"Tobias","last_name":"Huhmann","full_name":"Huhmann, Tobias"},{"first_name":"Katja","full_name":"Eilerts, Katja","last_name":"Eilerts"},{"first_name":"Felix","full_name":"Winkelnkemper, Felix","last_name":"Winkelnkemper"}],"date_created":"2023-01-23T15:22:27Z","year":"2022","citation":{"apa":"Huhmann, T., Eilerts, K., &#38; Winkelnkemper, F. (2022). Pentomino Digital - Mit Einer App Geometrie Lernen. <i>Mathematik Differenziert</i>, <i>4–2022</i>, 42–45.","bibtex":"@article{Huhmann_Eilerts_Winkelnkemper_2022, title={Pentomino Digital - Mit Einer App Geometrie Lernen}, number={4–2022}, journal={Mathematik differenziert}, author={Huhmann, Tobias and Eilerts, Katja and Winkelnkemper, Felix}, year={2022}, pages={42–45} }","short":"T. Huhmann, K. Eilerts, F. Winkelnkemper, Mathematik Differenziert (2022) 42–45.","mla":"Huhmann, Tobias, et al. “Pentomino Digital - Mit Einer App Geometrie Lernen.” <i>Mathematik Differenziert</i>, no. 4–2022, 2022, pp. 42–45.","ieee":"T. Huhmann, K. Eilerts, and F. Winkelnkemper, “Pentomino Digital - Mit Einer App Geometrie Lernen,” <i>Mathematik differenziert</i>, no. 4–2022, pp. 42–45, 2022.","chicago":"Huhmann, Tobias, Katja Eilerts, and Felix Winkelnkemper. “Pentomino Digital - Mit Einer App Geometrie Lernen.” <i>Mathematik Differenziert</i>, no. 4–2022 (2022): 42–45.","ama":"Huhmann T, Eilerts K, Winkelnkemper F. Pentomino Digital - Mit Einer App Geometrie Lernen. <i>Mathematik differenziert</i>. 2022;(4-2022):42–45."},"page":"42–45","issue":"4-2022","keyword":["⛔ No DOI found"],"language":[{"iso":"eng"}],"_id":"38162","user_id":"21145","department":[{"_id":"67"}],"status":"public","type":"journal_article","publication":"Mathematik differenziert"},{"year":"2022","citation":{"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>","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>.","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} }","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.","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>.","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>.","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>"},"publication_status":"published","title":"Grade 6 Students’ Perception and Use of Data-Based Decision Trees","doi":"10.52041/iase.icots11.t2h3","publisher":"International Association for Statistical Education","date_updated":"2023-01-27T12:24:33Z","date_created":"2023-01-27T12:23:45Z","author":[{"full_name":"Podworny, Susanne","last_name":"Podworny","first_name":"Susanne"},{"first_name":"Yannik","full_name":"Fleischer, Yannik","last_name":"Fleischer"},{"id":"58465","full_name":"Hüsing, Sven","last_name":"Hüsing","first_name":"Sven"}],"abstract":[{"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>","lang":"eng"}],"status":"public","type":"conference","publication":"Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics","language":[{"iso":"eng"}],"_id":"40510","user_id":"58465","department":[{"_id":"67"}]},{"date_updated":"2023-01-30T12:10:57Z","publisher":"International Association for Statistical Education","author":[{"full_name":"Hüsing, Sven","id":"58465","last_name":"Hüsing","first_name":"Sven"},{"last_name":"Podworny","full_name":"Podworny, Susanne","first_name":"Susanne"}],"date_created":"2022-04-22T08:30:59Z","title":"Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School","main_file_link":[{"url":"https://iase-web.org/documents/papers/sat2021/IASE2021%20Satellite%20156_HUSING.pdf?1649974216"}],"doi":"10.52041/iase.zwwoh","publication_status":"published","year":"2022","citation":{"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>.","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>.","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>","short":"S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022.","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>.","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>"},"_id":"30937","user_id":"58465","department":[{"_id":"67"}],"language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the IASE 2021 Satellite Conference","abstract":[{"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>","lang":"eng"}],"status":"public"},{"publication":"Proceedings of the IASE 2021 Satellite Conference","type":"conference","abstract":[{"lang":"eng","text":"<jats:p>Students are not aware and have little understanding of collecting and processing personal data in their everyday contexts of interaction with data-driven digital artifacts. To be aware of where, how and why data are collected and processed is important to be self-determined. Therefore, we develop and evaluate a teaching sequence to provide reasoning about data as a fundamental aspect of statistical literacy. This teaching sequences deals with the context of interaction with a cellular network where location data are collected. Students get real location data from an unknown person which can be explored with the aim to characterize the person. Students gain different insights by using different basic filters and explain how they achieve these. The results of the exploratory study indicate that students learned to gain insights by exploring given location data and that these insights may describe the person with detailed aspects that may not necessarily be true.</jats:p>"}],"status":"public","_id":"31407","department":[{"_id":"67"}],"user_id":"58041","language":[{"iso":"eng"}],"quality_controlled":"1","publication_status":"published","year":"2022","citation":{"ama":"Höper L, Podworny S, Schulte C, Frischemeier D. Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network. 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.nkppy\">10.52041/iase.nkppy</a>","ieee":"L. Höper, S. Podworny, C. Schulte, and D. Frischemeier, “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network,” 2022, doi: <a href=\"https://doi.org/10.52041/iase.nkppy\">10.52041/iase.nkppy</a>.","chicago":"Höper, Lukas, Susanne Podworny, Carsten Schulte, and Daniel Frischemeier. “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network.” In <i>Proceedings of the IASE 2021 Satellite Conference</i>. International Association for Statistical Education, 2022. <a href=\"https://doi.org/10.52041/iase.nkppy\">https://doi.org/10.52041/iase.nkppy</a>.","short":"L. Höper, S. Podworny, C. Schulte, D. Frischemeier, in: Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022.","bibtex":"@inproceedings{Höper_Podworny_Schulte_Frischemeier_2022, title={Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network}, DOI={<a href=\"https://doi.org/10.52041/iase.nkppy\">10.52041/iase.nkppy</a>}, booktitle={Proceedings of the IASE 2021 Satellite Conference}, publisher={International Association for Statistical Education}, author={Höper, Lukas and Podworny, Susanne and Schulte, Carsten and Frischemeier, Daniel}, year={2022} }","mla":"Höper, Lukas, et al. “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network.” <i>Proceedings of the IASE 2021 Satellite Conference</i>, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/iase.nkppy\">10.52041/iase.nkppy</a>.","apa":"Höper, L., Podworny, S., Schulte, C., &#38; Frischemeier, D. (2022). Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network. <i>Proceedings of the IASE 2021 Satellite Conference</i>. <a href=\"https://doi.org/10.52041/iase.nkppy\">https://doi.org/10.52041/iase.nkppy</a>"},"publisher":"International Association for Statistical Education","date_updated":"2024-09-16T08:31:25Z","author":[{"first_name":"Lukas","id":"58041","full_name":"Höper, Lukas","last_name":"Höper"},{"first_name":"Susanne","last_name":"Podworny","full_name":"Podworny, Susanne"},{"last_name":"Schulte","full_name":"Schulte, Carsten","id":"60311","first_name":"Carsten"},{"first_name":"Daniel","last_name":"Frischemeier","full_name":"Frischemeier, Daniel"}],"date_created":"2022-05-23T09:19:37Z","title":"Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network","doi":"10.52041/iase.nkppy"},{"year":"2021","citation":{"apa":"Schulte, C., A. Becker, B., Divitini, M., &#38; Barendsen, E. (Eds.). (2021). <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>. ACM. <a href=\"https://doi.org/10.1145/3456565\">https://doi.org/10.1145/3456565</a>","bibtex":"@book{Schulte_A. Becker_Divitini_Barendsen_2021, title={ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports}, DOI={<a href=\"https://doi.org/10.1145/3456565\">10.1145/3456565</a>}, publisher={ACM}, year={2021} }","mla":"Schulte, Carsten, et al., editors. <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>. ACM, 2021, doi:<a href=\"https://doi.org/10.1145/3456565\">10.1145/3456565</a>.","short":"C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports, ACM, 2021.","ieee":"C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>. ACM, 2021.","chicago":"Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik Barendsen, eds. <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>. ACM, 2021. <a href=\"https://doi.org/10.1145/3456565\">https://doi.org/10.1145/3456565</a>.","ama":"Schulte C, A. Becker B, Divitini M, Barendsen E, eds. <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>. ACM; 2021. doi:<a href=\"https://doi.org/10.1145/3456565\">10.1145/3456565</a>"},"publication_identifier":{"isbn":["978-1-4503-8397-4"]},"title":"ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports","doi":"10.1145/3456565","date_updated":"2022-01-06T06:57:06Z","publisher":"ACM","date_created":"2021-10-05T13:59:52Z","editor":[{"first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten","id":"60311"},{"full_name":"A. Becker, Brett","last_name":"A. 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Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden. <i>9. Fachtagung Hochschuldidaktik Informatik (HDI)</i>, 49.","short":"D.K.-H. Gerstenberger, F. Winkelnkemper, C. Schulte, 9. Fachtagung Hochschuldidaktik Informatik (HDI) (2021) 49.","mla":"Gerstenberger, Dietrich Karl-Heinz, et al. “Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden.” <i>9. Fachtagung Hochschuldidaktik Informatik (HDI)</i>, 2021, p. 49.","bibtex":"@article{Gerstenberger_Winkelnkemper_Schulte_2021, title={Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden}, journal={9. Fachtagung Hochschuldidaktik Informatik (HDI)}, author={Gerstenberger, Dietrich Karl-Heinz and Winkelnkemper, Felix and Schulte, Carsten}, year={2021}, pages={49} }"},"page":"49","year":"2021","author":[{"last_name":"Gerstenberger","id":"65294","full_name":"Gerstenberger, Dietrich Karl-Heinz","first_name":"Dietrich Karl-Heinz"},{"first_name":"Felix","full_name":"Winkelnkemper, Felix","id":"3117","last_name":"Winkelnkemper"},{"full_name":"Schulte, Carsten","id":"60311","last_name":"Schulte","first_name":"Carsten"}],"date_created":"2022-01-31T13:24:28Z","date_updated":"2022-01-31T13:26:22Z","title":"Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden"}]