Treffer: A Place for a Data Science Introduction in School: Between Statistics and Programming

Title:
A Place for a Data Science Introduction in School: Between Statistics and Programming
Language:
English
Authors:
Podworny, Susanne, Hüsing, Sven, Schulte, Carsten
Source:
Statistics Education Research Journal. 2022 21(2).
Availability:
International Association for Statistical Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail: isi@cbs.nl; Web site: https://iase-web.org/ojs/SERJ
Peer Reviewed:
Y
Page Count:
15
Publication Date:
2022
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Secondary Education
Grade 9
High Schools
Junior High Schools
Middle Schools
Descriptors:
Statistics Education, Programming, Programming Languages, Data Analysis, Student Attitudes, Secondary School Students, Units of Study, Grade 9, Computer Science Education, Teaching Methods, Student Projects, Active Learning, Foreign Countries, Comparative Analysis, Computer Software
Geographic Terms:
Germany
DOI:
10.52041/serj.v21i2.46
ISSN:
1570-1824
1570-1824
Entry Date:
2022
Accession Number:
EJ1354545
Database:
ERIC

Weitere Informationen

Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded in a ninth-grade computer science class. In this unit, students experience a new insight-driven programming approach, using Jupyter Notebook and the programming language Python for their data analysis. In this paper, we evaluate the second cycle of this project, report how the students coped with the Jupyter Notebooks for doing statistical investigations and describe the insights they gained.

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