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AI Assessment Board (AABoard)Advancing AI literacy through evidence and standardsSearch registry

AI Literacy Education Standards

AABoard is a public evidence platform for AI literacy standards, cases, pilots, frameworks, resources, policies, assessment systems, initiatives, and community signals.

Evidence First

Documenting real-world practice and research with source trace and transparency.

Public Interest

Nonprofit, independent, and committed to ethical and inclusive AI literacy.

Standards Readiness

Turning evidence into trusted frameworks, assessments, and standards.

AABoard evidence registry document stack showing frameworks, policies, assessments, and case reports

AABoard Evidence Registry Collections

Structured collections make the evidence layer scannable, retrievable, and ready for synthesis into reports, briefs, crosswalks, and standards drafts.

Cases140

Research studies and real-world implementation cases.

Pilots6

Pilot and demonstration programs.

Frameworks62

Conceptual and operational frameworks.

Free Resources90

Guides, curricula, toolkits, and open educational resources.

Assessments74

Assessment approaches and measurement systems.

Initiatives94

Projects and collaborative initiatives.

Policies195

Policies, strategies, and position statements.

Community Signals210

Community insights and emerging signals.

Browse All Collections

From Evidence to Public Value

  1. 1Collect

    Gather evidence from cases, pilots, research, policies, resources, and community signals.

  2. 2Review

    Check source trace, relevance, public-interest considerations, and publication status.

  3. 3Synthesize

    Turn structured evidence into insights, gaps, recommendations, and standards language.

  4. 4Publish

    Release consensus reports, draft standards, briefs, and crosswalks for public use and review.

Transparent process. Documented decisions. Public review at every step.Learn about AABoard Methodology

AABoard Outputs

Publication formats supported by the evidence layer and human review workflow.

Consensus Reports

Evidence-based reports that synthesize cases, policies, frameworks, and community signals.

View reportsDraft Standards

Public draft standards for AI literacy across education and workforce contexts.

View draftsResearch Briefs

Focused briefs on key evidence, implementation patterns, emerging themes, and gaps.

View briefsPolicy Briefs

Analysis and recommendations for education policy and institutional practice.

View briefsFramework Crosswalks

Comparisons across frameworks, standards, competencies, and implementation models.

Explore

Featured Records

View all records
IDTitleTypeOrganization / AuthorSettingRegionYearEvidence StrengthStatus
AAB-CASE-2024-RV-002A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomesCaseInternational (multi-country literature base)In-school (K-12)Global2024published

Case selection

A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes

Systematic review of 25 peer-reviewed K-12 AI education studies (2018-2023), synthesizing topics taught, instructional strategies, learning tools, and reported student outcomes.

AABoard rating 4.0 / 5Selected for publication status, review-paper evidence, and standards relevance.
Open record