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Research Brief

Published datasetIEEE DataportPermalink available

Global AI Literacy Assessment and Credentialing Registry Dataset

Research brief for the IEEE Dataport assessment and credentialing registry dataset

Summary

This brief frames the assessment and credentialing dataset as a way to compare how AI literacy claims are measured, documented, and represented across programs and providers.

Key evidence signals

  • The dataset supports comparison of assessment audiences, credential claims, evidence types, delivery contexts, and registry status.
  • It helps separate participation records, tool-use certificates, formative assessment, and stronger evidence of AI literacy learning.
  • The collection can inform AAB alignment work by showing where assessment claims need clearer validity boundaries.

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. (2026). Global AI Literacy Assessment and Credentialing Registry Dataset. IEEE Dataport. https://ieee-dataport.org/documents/aab-global-ai-literacy-assessment-and-credentialing-registry-dataset-v10

Recommendations

  1. Compare credential claims against the evidence method before treating records as indicators of learner mastery.
  2. Use the dataset to identify gaps in age-band coverage, workforce coverage, and documented assessment validity.
  3. Preserve original source links and AAB record IDs when citing assessment or credentialing examples.