Learning data science in elementary school mathematics: a comparative curriculum analysis
Yook Kit Ow-Yeong; Ibrahim H. Yeter; Farhan Ali · 2023 · International Journal of STEM Education
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Background Data literacy is increasingly important in today’s data-driven world. Students across many educational systems first formally learn about data in elementary school not as a separate subject but via the mathematics curriculum. This experience can create tensions in the priorities of learning and assessment given the presence of other foundational mathematics content domains such as numbers, algebra, measurement, and geometry. There is a need to study data literacy in comparison to these other content domains in elementary mathematics. To address this need, we developed a met
Abstract by Yook Kit Ow-Yeong; Ibrahim H. Yeter; Farhan Ali, International Journal of STEM Education (2023) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s40594-023-00397-9