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POLICY EXPRESS · PE-EDB-148 · Education Bureau

AI and Digital Learning in Schools

Funding, a blueprint and a free platform are in place; the evidence that classrooms are changing is not yet published.

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2 pages · English and 繁體中文 · Built on the 1134211 Framework · Facts as at 25 October 2026

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PE-HB-175: Shortening the Wait for Public Rental HousingPE-EDB-147: Right-Sizing the School System for a Shrinking CohortPE-CEDB-130: Supporting Mainland Enterprises to Go GlobalPE-CMAB-120: Aligning Rules and Mechanisms across the Greater Bay AreaPE-CSB-125: Civil Service Size, Productivity and Establishment Control

The tension and our thesis

The tension

Schools are being asked to adopt AI quickly with one-off money, mandatory training hours and a central platform, yet no source consulted reports how many schools use AI or whether pupils learn more.

Our thesis

AI in schools should be scaled on evidence: publish what is working before the one-off funds end on 31 August 2028.

Three policy problems this brief examines

  1. 01One-off money, recurrent costs
  2. 02Training is mandated, impact is not measured
  3. 03Scaling runs ahead of evidence

Each problem is developed in three layers: the fact, why it persists, and the consequence for the system.

Three options compared

A

A · Grants first: repeat per-school grants and let schools choose tools.

B

B · Platform first: one free central platform for every school.

C

C · Training first: compulsory AI training and licensing for teachers.

The scored comparison, the justified recommendation with its phased measures, the implementation challenges, the stakeholder assessment and the success metrics are in the full brief.

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