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Podworny, Susanne; Hüsing, Sven; Schulte, Carsten – Statistics Education Research Journal, 2022
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…
Descriptors: Statistics Education, Programming, Programming Languages, Data Analysis
Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education