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Good practice Imported

Cayman Islands Runs a National 'AI Readiness' Teacher Training Ahead of 2026 CXC Assessment Reform

Cayman Islands · George Town · See the Cayman Islands profile

Evidence: Descriptive / self-reported Top 82% 33/100 · Ask Evidence Copilot about this practice

With the Caribbean exam board CXC set to permit AI in school-based assessments from 2026, the Cayman Islands ran a Nov 2025-Feb 2026 'AI Readiness' phase, training teachers on AI basics, exam rules and ethics via UCCI facilitators.

36 %
CXC 2024 Mathematics pass rate (2024)

Details

Maturity
Pilot
Promoter
Cayman Islands Ministry of Education & Training, with University College of the Cayman Islands (UCCI)
Period
Nov 2025-Feb 2026
Keywords
teacher professional development, exam policy, AI ethics training

Context

The Caribbean Examinations Council (CXC) announced that AI would be permitted in school-based assessments for CSEC, CAPE and CCSLC from 2026. In response, the Cayman Islands government formed its first national AI steering committee in January 2025, ahead of a planned national AI-in-education policy.

Activities

To prepare teachers for the assessment change, the Cayman Islands ran an orientation phase in November-December 2025, followed by a structured 'AI Readiness' phase from December 2025 to February 2026, with facilitators from the University College of the Cayman Islands (UCCI) delivering hands-on sessions on AI basics, what CXC's rules do and do not permit, and privacy and ethics essentials.

Conclusions

This is a governance- and training-stage intervention rather than a classroom deployment: no measured learning-outcome or exam-score data exists yet, and as of the source reporting the territory's comprehensive national AI-in-education policy was still pending.

Implementation
Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
Cayman Islands Ministry of Education & Training, University College of the Cayman Islands (UCCI) facilitators, National AI steering committee (formed January 2025)

Conditions for success

  • Formal national AI steering committee established ahead of the training
  • Structured two-phase design: orientation, then a dedicated 'AI Readiness' phase
  • Training content tied directly to the specific CXC 2026 assessment rule change

Common failure modes

  • Comprehensive national AI-in-education policy still pending as of source reporting
  • No measured learning-outcome or exam-score data available yet
  • Designed as a single-phase rollout tied to one exam cycle, with scaling beyond it undocumented

Where it fits

Governance type
territorial government + tertiary institution partnership
Scale
national (territory-wide)
Income level
high-income

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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