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Research Brief

Published datasetIEEE DataportPermalink available

Global AI Education Initiatives Registry Dataset

Research brief for the IEEE Dataport global initiatives registry dataset

Summary

This brief presents the initiatives dataset as a public-interest map of AI education initiatives, partnerships, program types, and implementation signals across regions and sectors.

Key evidence signals

  • The dataset can show how AI education initiatives cluster by region, institution type, audience, and public or private support.
  • Initiative records are useful context for ecosystem analysis, but they should not be read as direct evidence of learner outcomes without linked cases or pilots.
  • The collection helps identify where initiative activity is strong and where implementation evidence remains thin.

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). Global AI Education Initiatives Registry Dataset. IEEE Dataport. https://ieee-dataport.org/documents/aab-global-ai-education-initiatives-registry-dataset-v10

Recommendations

  1. Use initiative records alongside policy, case, and pilot evidence when describing regional readiness.
  2. Flag whether each initiative is an announcement, active program, partnership, funding vehicle, or documented implementation.
  3. Use the dataset to prioritize follow-up evidence collection for initiatives with high public significance.