AI in International Schools: Equity, Assessment, and Teacher Wellbeing with Daniel Budd in Hong Kong

In this Teacher’s AI Cafe episode, Kane interviews his friend Daniel, a Perth-to-Hong Kong educator with a tech and computer science background working at a large American-style international school. Daniel describes how AI disrupted both English and computer science, but also accelerated student prototyping when teaching focuses on process, abstraction, and chunking rather than syntax. He shares practical teacher uses like synthesizing information overload via daily AI briefings while staying mindful of privacy and VPN access limits in Hong Kong, plus using AI to rapidly rebuild and expand a Swift-based geometry curriculum. They discuss school-wide adoption, PD, equity of access through tools like Copilot and Flint, challenges as AI becomes embedded in apps like Grammarly, promising gains in language speaking practice and music feedback, and the importance of assessment design. Daniel advises hesitant teachers to start with AI for wellbeing and organization to reduce cognitive load for themselves and students.

00:23 Meet Daniel from Hong Kong

01:32 Tech Background and AI Shock

03:15 Teaching Coding with AI

06:12 AI for Teacher Workflow

08:16 Building Curriculum Faster

10:11 School Adoption and PD

13:17 Rules for Student AI Use

15:27 Language and Music Wins

18:47 Equity and Teacher Role

20:57 Modern Classroom Model

24:17 Advice for New Users

27:01 Copilot and Tool Frustrations

28:56 Wrap Up and Collaboration

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