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Anna Fergusson; Maxine Pfannkuch – Journal of Statistics and Data Science Education, 2024
Statistics teaching at the high school level needs modernizing to include digital sources of data that students interact with every day. Algorithmic modeling approaches are recommended, as they can support the teaching of data science and computational thinking. Research is needed about the design of tasks that support high school statistics…
Descriptors: High School Students, Statistics Education, Thinking Skills, Computer Science Education
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
Birney, Lauren; McNamara, Denise – Journal of Curriculum and Teaching, 2021
In an increasingly data driven world, the need for a qualified STEM workforce is essential. Increasing the diversity of this workforce increases the social and economic possibilities for the individual as well as national economic status and global prominence in innovation and technology. The Curriculum and Community Enterprise for Restoration…
Descriptors: Disadvantaged, STEM Education, Disproportionate Representation, Diversity