District AI Index — Vendor Score Report
Wayground
by Wayground · Report generated 4/13/2026
District AI Index — Vendor Score Report
Wayground
by Wayground · Generated 4/13/2026
Executive Summary
“Essential for districts serious about AI governance. Fills a critical infrastructure gap.”
Dimension Score Breakdown
Ease of Use
Strengths
- Basic usability meets minimum standards
Gaps Identified
- Interface complexity may require dedicated training for teachers
- No LMS or rostering integrations listed
- No free tier for teacher evaluation — creates adoption friction
Recommendations to Improve Score
- Add LMS integrations (Google Classroom, Canvas, Schoology) to reduce deployment friction
- Support Clever and/or ClassLink for district rostering
- Invest in UX simplification — first productive use should be under 5 minutes
- Consider a free tier or trial period so teachers can evaluate before district purchase
Instructional Value
Strengths
- Versatile use cases: District AI governance, Tool evaluation frameworks, Policy management
- Rich feature set with 4 documented capabilities
- Clear instructional fit documentation provided
Gaps Identified
- Instructional impact not fully demonstrated or limited in scope
- Significant limitations: Classroom instruction, Student-facing
Recommendations to Improve Score
- Provide case studies or research demonstrating measurable learning outcomes
- Publish detailed alignment documentation to pedagogy, standards, and instructional frameworks (UDL, Bloom's)
- Consider pursuing alignment documentation with Common Core, NGSS, or state-specific standards
Data Privacy
Strengths
- High privacy posture — meets district-level requirements
Gaps Identified
- FERPA Compliant: Not documented — critical gap for district adoption
- COPPA Compliant: Not documented — critical gap for district adoption
Recommendations to Improve Score
- Obtain and publish FERPA compliance documentation — this is a gate requirement for most US school districts
- Verify and document COPPA compliance if the tool is used by or collects data from students under 13
- Explicitly document whether user/student data is used for AI model training — districts will ask
Accessibility
Strengths
- WCAG compliance referenced in documentation
Gaps Identified
- No VPAT/ACR document published — districts with Section 508 requirements will flag this
- Accessibility assessed as 'Moderate' — gaps likely exist in WCAG conformance
- Insufficient accessibility documentation provided
Recommendations to Improve Score
- Commission a VPAT 2.5 / Accessibility Conformance Report (ACR) and publish it on your website — this is increasingly a procurement requirement
- Conduct a WCAG 2.1 Level AA audit and address identified gaps
- Ensure full keyboard navigation throughout the application
- Test with screen readers (VoiceOver, NVDA, JAWS) and document compatibility
Compliance Gaps
| Signal | Current Status | Action Required |
|---|---|---|
| FERPA Compliant | Not documented | Obtain FERPA Compliant certification/documentation |
| COPPA Compliant | Not documented | Obtain COPPA Compliant certification/documentation |
VPAT / ACR Assessment
Priority Actions to Improve Score
The following actions would have the highest impact on your District AI Index score, listed in priority order:
- 1Obtain and publish FERPA compliance documentation — this is a gate requirement for most US school districts
- 2Verify and document COPPA compliance if the tool is used by or collects data from students under 13
- 3Explicitly document whether user/student data is used for AI model training — districts will ask
- 4Commission a VPAT 2.5 / Accessibility Conformance Report (ACR) and publish it on your website — this is increasingly a procurement requirement
- 5Conduct a WCAG 2.1 Level AA audit and address identified gaps
Scoring Methodology
Scores are assigned by the District AI Index editorial team across four dimensions. Instructional Value carries the highest weight (40%) because our primary audience — educators and district leaders — prioritize tools that genuinely improve teaching and learning. Overall Score = (Ease × 0.20) + (Instructional Value × 0.40) + (Privacy × 0.20) + (Accessibility × 0.20). Scores are not influenced by listing tier, affiliate status, or vendor relationships.
Full methodology: districtaiindex.com/editorial-policy
Questions About This Report?
If you believe any information is inaccurate or have updated compliance documentation, contact our editorial team.
Contact Editorial Team