Dimensions overall score 3.0

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• The paper proposes a 'data paradigms framework' that categorizes K-12 learning activities along two dimensions: logic (knowledge-based or data-driven systems) and explainability (transparent or opaque models).method 95%
• The systematic literature review analyzed 84 studies to understand K-12 learners' engagement with data across disciplines and contexts.method 95%
• The review found that learning activities are often designed within a single data paradigm, with few examples of instructional sequences that move between paradigms.result 85%
• Understanding how data-driven systems work represents a paradigm shift from traditional rule-based programming in computer science education.technical 90%
• The paper details four distinct learning trajectories as a provocation for researchers and educators to reflect on how data literacy varies by context.result 90%
• Current understanding of what data literacy skills are needed in CS education is still limited.limitation 85%
• The classification of learning activities into the data paradigms framework may evolve over time, particularly with advancements in post-hoc explanation methods.technical 80%

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