{"status":"public","_id":"48108","publication_status":"published","date_created":"2023-10-17T05:59:38Z","doi":"10.52041/serj.v21i2.46","publication_identifier":{"issn":["1570-1824"]},"user_id":"30619","year":"2022","author":[{"full_name":"PODWORNY, SUSANNE","last_name":"PODWORNY","first_name":"SUSANNE"},{"full_name":"HÜSING, SVEN","last_name":"HÜSING","first_name":"SVEN"},{"first_name":"CARSTEN","last_name":"SCHULTE","full_name":"SCHULTE, CARSTEN"}],"citation":{"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>","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>.","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} }","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>.","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>","short":"S. PODWORNY, S. HÜSING, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022)."},"article_number":"6","type":"journal_article","keyword":["Education","Statistics and Probability"],"volume":21,"publisher":"International Association for Statistical Education","issue":"2","intvolume":"        21","date_updated":"2023-10-17T06:01:58Z","title":"A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING","abstract":[{"text":"<jats:p>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.</jats:p>","lang":"eng"}],"publication":"STATISTICS EDUCATION RESEARCH JOURNAL"}