Case study · Education

Preparing teachers to use AI responsibly

A public education body wanted teachers who could use generative AI well and safely. We built a programme around AI literacy, classroom practice, learning analytics and safeguarding.

Sector
Public education
Region
Asia
Service
Training and capability building
Audience
Teachers

Challenge

A public education body wanted its teachers to use generative AI in lessons responsibly.

Teachers needed three things: a clear understanding of what AI can and cannot do, practical ways to use it in the classroom, and safeguards that protect students.

Our approach

We designed the programme in four parts, each building on the one before.

  1. AI literacy. Understanding what generative AI is and how to judge its output.
  2. Classroom application. Using AI tools in everyday teaching practice.
  3. Analysing learning progress. Using AI-enabled learning platforms to track how students are progressing and to identify those who need extra support. Teachers can see which modules students score lower on, then adjust their lessons and reinforce those topics.
  4. Safeguarding. Protecting students when AI is used in class.
  1. AI literacy
  2. Classroom practice
  3. Analysing learning progress
  4. Safeguards

What we delivered

A four-part programme design covering AI literacy, classroom application, learning analytics and safeguarding.

Outcome

Teachers who could use AI tools in their lessons and explain the safeguards that apply.

Why it matters

Teachers set the tone for how students use AI. Capability, not a ban or a policy paper, makes responsible use routine.

Short questions and answers

What is AI literacy for teachers?

It is the ability to understand what generative AI does, judge its output, and decide when and how to use it in teaching. It sits alongside classroom practice and safeguards, so that teachers can use AI tools with confidence and explain the rules that protect students.

Does the same approach work for other public officers?

The four parts, literacy, application, learning analytics and safeguards, carry over to other public-sector roles. The examples change with the job. A policy officer, an analyst and a front-line officer each need to understand the tool, practise it on their own tasks, and know when a person must review the result.

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