"AAB AI Education Pilot Registry Dataset v1.0"
Winnie Han, Lei Xu
- Year
- 2026
- Citations
- 2
Abstract
"This dataset provides a structured registry of AI education pilot implementations documented under the AI Assessment Board (AAB) pilot registry and evidence framework. It is designed to support transparent documentation, pilot comparison, implementation research, standards development, and public-interest analysis of AI education and AI literacy programs.Pilot records may include pilot ID, pilot type, implementing organization, setting, target learners or participants, duration, AI education focus, learning objectives, AI tool role, human oversight model, implementation design, evidence collected, risk and safeguard notes, observed outcomes, limitations, registry decision metadata, and provisional Evidence Maturity Index (EMI) classification where applicable.The dataset covers pilot contexts such as K\u201312 AI literacy, afterschool AI programs, teacher professional development, community AI literacy, workforce AI training, adult AI literacy, physical AI learning, robotics-enabled AI education, and other structured AI education experiments or deployments.This dataset does not contain raw student data, personally identifiable learner information, confidential institutional records, or private assessment data. Inclusion of a pilot in the dataset does not imply endorsement, certification, ranking, accreditation, or product recommendation by AAB. The dataset is intended to preserve structured pilot evidence, document implementation conditions, support cross-context learning, and contribute to future AI education standards development."
Keywords
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