---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: SUSANNE
      foaf_name: PODWORNY, SUSANNE
      foaf_surname: PODWORNY
  - foaf_Person:
      foaf_givenName: Sven
      foaf_name: Hüsing, Sven
      foaf_surname: Hüsing
      foaf_workInfoHomepage: http://www.librecat.org/personId=58465
  - foaf_Person:
      foaf_givenName: CARSTEN
      foaf_name: SCHULTE, CARSTEN
      foaf_surname: SCHULTE
  bibo_doi: 10.52041/serj.v21i2.46
  bibo_issue: '2'
  bibo_volume: 21
  dct_date: 2022^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1570-1824
  dct_language: eng
  dct_publisher: International Association for Statistical Education@
  dct_subject:
  - Education
  - Statistics and Probability
  dct_title: 'A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND
    EPISTEMIC PROGRAMMING@'
...