AI in Schools: Best Practices for Teachers and Leaders

AI can improve feedback quality, reduce admin workload, and help students progress faster. The key is implementation: clear guardrails, practical teacher support, and a strong focus on learning outcomes.

1) Start with learning goals, not tools

Define the outcomes first: faster formative feedback, better writing quality, or improved intervention tracking. Choose AI workflows that support those goals rather than introducing disconnected tools.

2) Create a simple school-wide AI usage policy

Keep policy clear and practical: what is allowed, what is not, and what must be disclosed by students. Include examples for homework, coursework, and revision tasks so expectations are consistent.

3) Train staff in short, role-specific sessions

Focus CPD on real classroom workflows: rubric marking, feedback drafting, moderation checks, and intervention planning. Quick wins build confidence and reduce resistance.

4) Use human review for high-stakes decisions

AI should support professional judgment, not replace it. Keep final grading, safeguarding judgments, and formal interventions under educator control with transparent review steps.

5) Measure impact each half-term

Track outcomes like marking turnaround time, feedback consistency, and student improvement patterns. This helps school leaders justify investment and refine AI rollout plans.