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Research Brief

Published datasetIEEE DataportPermalink available

AI Literacy Framework Crosswalk Dataset

Research brief for the IEEE Dataport AI literacy framework crosswalk dataset

Summary

This brief describes the framework crosswalk dataset as an alignment layer for comparing AI literacy frameworks, competency models, standards references, and implementation domains.

Key evidence signals

  • The crosswalk dataset supports comparison across audience, domain, competency coverage, readiness, and AAB framework categories.
  • It helps translate diverse framework language into a more consistent standards-development evidence base.
  • Framework coverage does not automatically equal implementation quality; crosswalk findings should be checked against cases, pilots, resources, and assessments.

Dataset source and citation

This AAB brief links to the dataset record hosted on IEEE Dataport. The publication host is named in text rather than represented with IEEE marks or logos.

Open Dataport record
Suggested citation

AI Assessment Board. (2025). AI Literacy Framework Crosswalk Dataset. IEEE Dataport. https://ieee-dataport.org/documents/aab-ai-literacy-framework-crosswalk-dataset-v10

Recommendations

  1. Use the crosswalk to identify convergent AI literacy concepts before drafting standards language.
  2. Pair framework alignment with case and assessment records before making claims about implementation readiness.
  3. Maintain source trace to original framework documents whenever publishing crosswalk-derived claims.