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Research Brief

Published datasetIEEE DataportPermalink available

AI Education Pilot Registry Dataset

Research brief for the IEEE Dataport AI education pilot registry dataset

Summary

This brief frames the pilot registry dataset as a structured record of AI education pilots, implementation phases, pilot types, readiness evidence, and registry decisions.

Key evidence signals

  • Pilot records can document implementation conditions, participant audiences, phase status, safeguards, and evidence artifacts.
  • The dataset supports comparison of micro, structured, institutional, and deployment-scale pilots.
  • Pilot data should be interpreted as implementation evidence unless linked assessment artifacts support stronger learning outcome claims.

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). AI Education Pilot Registry Dataset. IEEE Dataport. https://ieee-dataport.org/documents/aab-ai-education-pilot-registry-dataset-v10

Recommendations

  1. Use pilot phase and pilot type fields when comparing maturity across records.
  2. Track whether pilots include assessment artifacts, facilitator notes, implementation context, and final registry decisions.
  3. Use published pilot records as inputs for later case synthesis and standards-readiness review.