AI Tools Scoring Methodology 2026
10 Categories
- Market Adoption — district contracts, renewal rates, enterprise customers, procurement, international presence
- AI Capability — adaptive learning, personalization, tutoring, grading, real-time feedback
- AI Governance — model transparency, bias policy, human oversight, hallucination controls, ethical framework
- User Experience — teacher usability, student engagement, ease of implementation, mobile support, customisation
- Support — onboarding, customer success, documentation, response times, training resources
- Pricing — free tier, transparent pricing, district licensing, non-profit discount, trial availability
- Integration — LMS, SIS, SSO, API access, ecosystem breadth
- Curriculum — evidence base, standards alignment, learning outcomes, IEP support, ELL support
- Compliance — FERPA / COPPA, SOC 2, GDPR, data retention policy, student data never sold
- Accessibility — WCAG 2.1, multilingual, screen reader, SEND support, device compatibility
Sources
EdTech Evidence Exchange, RAND Corporation, EdSurge, Common Sense Education, ISTE, ed.gov, vendor disclosures, and public procurement records.