[2603.28317] Mapping data literacy trajectories in K-12 education

Computer Science > Computers and Society arXiv:2603.28317 (cs) [Submitted on 30 Mar 2026] Title:Mapping data literacy trajectories in K-12 education Authors:Robert Whyte, Manni Cheung, Katharine Childs, Jane Waite, Sue Sentance View a PDF of the paper titled Mapping data literacy trajectories in K-12 education, by Robert Whyte and 4 other authors View PDF HTML (experimental) Abstract: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 trajectories as a provocation for researchers and educators to reflect on how the notion of data literacy varies depending on the learning context. We suggest these trajectories could be useful to those concerned with the design of data literacy learning environments within and beyond CS education. Comments: Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI) Cite as: arXiv:2603.28317 [cs.CY]   (o...