
GoodClass's multi-stakeholder AI Readiness Analysis gives every voice in your school — Board, Principal, Teachers, IT — a structured way to assess readiness and chart the right development path.
Process
The school administrator enters the school name to generate unique access codes for each stakeholder group.
Board members, Principal, Department Heads, Teachers, and IT Coordinator each use their own code to access only their relevant questions.
Using the ADMIN code, school leadership views a whole-school analysis with radar chart, path recommendation, and Zoom advisory booking.
About the Analysis
This analysis synthesises the latest AI readiness frameworks from global leaders in education research and technology, adapted specifically for Hong Kong's school context and the EDB grant requirements.
Sections
Development Paths
The analysis identifies which of GoodClass's four evidence-based paths best matches your school's current readiness and ambition.
Build confidence, reduce workload, establish governance
Deepen integration, differentiate instruction
Empower students as AI creators and critical thinkers
Become an EDB reference school and AI innovation leader
Stakeholder Groups
Each group sees only their own questions. Multiple people from the same group can submit — especially important for teachers.
Strategic vision, governance, budget
Leadership, policy, change management
Curriculum integration, team readiness
AI literacy, classroom application, confidence
Infrastructure, security, data governance
View aggregated whole-school results and path recommendation
For Administrators
Enter your school name to generate unique access codes for each stakeholder group. Distribute these codes to the relevant staff.
Research Foundation
Questions and scoring are grounded in peer-reviewed research and industry frameworks on AI adoption in education.
Enter your access code to begin your section of the analysis, or generate codes for your school.