Back to Wayground

District AI Index — Vendor Score Report

Wayground

by Wayground · Report generated 4/13/2026

Executive Summary

7.1
Overall Score (of 10)
Recommended with Caveats
Rating
District Ready
Privacy Status
Paid
Pricing Model

Essential for districts serious about AI governance. Fills a critical infrastructure gap.

Dimension Score Breakdown

7
Ease of Use
Weight: 20%
Adequate
6
Instructional Value
Weight: 40% (highest)
Needs Improvement
9
Data Privacy
Weight: 20%
Excellent
7
Accessibility
Weight: 20%
Adequate

Ease of Use

7/10Adequate

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

6/10Needs Improvement

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

VPAT / ACR Assessment

StatusNot published
ImpactDistricts with Section 508 obligations may be unable to procure this tool
RecommendationCommission a VPAT 2.5 ACR and publish it publicly on your accessibility page

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