{"intvolume":" 21","publication":"STATISTICS EDUCATION RESEARCH JOURNAL","citation":{"ama":"PODWORNY S, HÜSING S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH JOURNAL. 2022;21(2). doi:10.52041/serj.v21i2.46","bibtex":"@article{PODWORNY_HÜSING_SCHULTE_2022, title={A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}, volume={21}, DOI={10.52041/serj.v21i2.46}, number={26}, journal={STATISTICS EDUCATION RESEARCH JOURNAL}, publisher={International Association for Statistical Education}, author={PODWORNY, SUSANNE and HÜSING, SVEN and SCHULTE, CARSTEN}, year={2022} }","mla":"PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.46.","short":"S. PODWORNY, S. HÜSING, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).","apa":"PODWORNY, S., HÜSING, S., & SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH JOURNAL, 21(2), Article 6. https://doi.org/10.52041/serj.v21i2.46","chicago":"PODWORNY, SUSANNE, SVEN HÜSING, and CARSTEN SCHULTE. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS EDUCATION RESEARCH JOURNAL 21, no. 2 (2022). https://doi.org/10.52041/serj.v21i2.46.","ieee":"S. PODWORNY, S. HÜSING, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46."},"issue":"2","publication_status":"published","publication_identifier":{"issn":["1570-1824"]},"abstract":[{"lang":"eng","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."}],"status":"public","date_created":"2023-10-17T05:59:38Z","doi":"10.52041/serj.v21i2.46","date_updated":"2023-10-17T06:01:58Z","volume":21,"keyword":["Education","Statistics and Probability"],"type":"journal_article","title":"A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING","_id":"48108","publisher":"International Association for Statistical Education","article_number":"6","year":"2022","user_id":"30619","author":[{"first_name":"SUSANNE","last_name":"PODWORNY","full_name":"PODWORNY, SUSANNE"},{"first_name":"SVEN","full_name":"HÜSING, SVEN","last_name":"HÜSING"},{"last_name":"SCHULTE","full_name":"SCHULTE, CARSTEN","first_name":"CARSTEN"}]}