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Research Brief

Published datasetIEEE DataportPermalink available

AI Education Evidence Registry Dataset

Research brief for the IEEE Dataport dataset on cases, pilots, frameworks, and initiatives

Summary

This brief introduces the cross-collection AAB evidence registry dataset as research infrastructure for studying AI education implementation evidence across cases, pilots, frameworks, and initiatives.

Key evidence signals

  • The dataset connects multiple AAB registry collections so researchers can study evidence maturity, implementation settings, and standards-development inputs together.
  • The most appropriate use is descriptive and comparative analysis of registry evidence patterns, not causal claims about program effectiveness.
  • Stable dataset references help preserve source trace between public registry pages, AAB outputs, and later standards or consensus work.

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 Education Evidence Registry Dataset. IEEE Dataport. https://ieee-dataport.org/documents/aab-ai-education-evidence-registry-dataset-v01-cases-pilots-frameworks-initiatives

Recommendations

  1. Use the dataset as a cross-collection map before narrowing into cases, pilots, frameworks, or initiatives.
  2. Keep descriptive registry claims separate from learner-impact claims unless supported by the underlying record evidence.
  3. Cite the IEEE Dataport dataset URL when using this evidence base in research, standards, or public-facing briefs.