China AI in Education: An Executive Immersion Framework
Evaluate education AI in China through learning outcomes, teacher workload, student privacy, accessibility and the quality of human oversight.
An education AI visit should start with a learning problem and the teacher's workflow. Product usage, generated lesson counts and learner satisfaction do not establish improved learning. Ask how progress is assessed, who checks unsuitable output and what happens when students cannot use the tool. Include the time teachers spend correcting or supervising it.
What to evaluate
Learning task
Define the learner, teacher, objective and evidence of progress.
Teacher workflow
Measure preparation, feedback, monitoring, intervention and professional judgement.
Student safeguards
Inspect privacy, age, bias, accessibility, transparency and contestability.
Institutional fit
Assess curriculum, procurement, infrastructure, training and evaluation capacity.
Worked evaluation exercise
The following is an illustrative assessment exercise, not a reported customer result.
For a writing-feedback exercise, ask teachers to score comparable assignments against the same rubric before and after using the tool. Record whether feedback helps students revise their work, rather than simply making text look polished. Check performance across language backgrounds and accessibility needs. Use appropriately authorised or synthetic student material in demonstrations. UNESCO's guidance provides a policy starting point; institutional approval and classroom evidence remain separate requirements.
Questions for the operating team
- What changes for the learner and teacher?
- How is inappropriate or incorrect output handled?
- Which evidence supports adoption beyond engagement?
Warning signs
- Screen time treated as learning.
- Teacher oversight assumed but not resourced.
- Student data used without clear governance.
Planning the visit
Use these questions to scope an industry-focused China AI program. Agree which records and operating workflows can be examined before confirming meetings; host participation and access require confirmation. Our research method explains how we structure the brief and follow-up.
References and scope
These references provide policy or risk-management context. They do not independently verify a host's performance or the illustrative exercise above.