Mapping data literacy trajectories in K-12 education
Data literacy skills are fundamental in computer science education. However, understanding how data-driven systems work represents a paradigm shift from traditional rule-based programming. We conducted a systematic literature review of 84 studies to understand K-12 learners' engagement with data across disciplines and contexts. We propose the data paradigms framework that categorises learning activities along two dimensions: (i) logic (knowledge-based or data-driven systems), and (ii) explainability (transparent or opaque models). We further apply the notion of learning trajectories to visualize the pathways learners follow across these distinct paradigms. We detail four distinct trajecto...
| Authors | Robert Whyte, Manni Cheung, Katharine Childs et al. |
|---|---|
| Primary category | cs.CY |
| Published | 30 March 2026 |
| Last updated at source | 14 October 2026 |
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