Mapping data literacy trajectories in K-12 education

Name: Mapping data literacy trajectories in K-12 education
Uploaded: 2026-10-17T18:09:39.350808+00:00
Duration: 332 s
Description: The research mapped how K-12 students engage with data systems by using a framework based on two dimensions: logic (knowledge-based vs. data-driven) and explainability (transparent vs. opaque models). This created four learning quadrants and four distinct pathways, or trajectories, showing how students move between these different ways of interacting with data.

The research mapped how K-12 students engage with data systems by using a framework based on two dimensions: logic (knowledge-based vs. data-driven) and explainability (transparent vs. opaque models). This created four learning quadrants and four distinct pathways, or trajectories, showing how students move between these different ways of interacting with data.

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