AI in the Classroom
Literacy, Wellbeing and Assessment
For: Teachers, teaching assistants, subject leads, pastoral staff and exams officers
1How generative AI actually works
Staff will learn: Explain in accessible language how generative AI produces text, and recognise common limitations, including hallucination and bias.
They will: Explore live examples, spot plausible-sounding errors and use UNESCO's AI Competency Framework for Teachers to reflect on current confidence.
Take-away: A clearer mental model of generative AI and a personal development goal.
2Critical thinking and the cognitive offloading problem
Staff will learn: Understand current evidence on AI use, cognitive effort and critical thinking, and when AI supports reasoning versus replaces it.
They will: Debate competing readings of the evidence and redesign an existing classroom task using a 'hints, not answers' principle.
Take-away: A redesigned task that preserves pupil thinking while allowing purposeful AI support.
3Digital wellbeing in the AI era
Staff will learn: Use current evidence on how children and teenagers engage with AI tools, and distinguish general-purpose assistants from companion-style chatbots.
They will: Compare assumptions with current data and discuss realistic, anonymised school scenarios.
Take-away: A more evidence-informed understanding of emerging digital wellbeing risks.
4AI companions, risk and safeguarding
Staff will learn: Recognise warning signs of unhealthy attachment or dependency, and what to examine before adopting pupil-facing AI tools.
They will: Work through safeguarding scenarios and co-build a practical checklist for evaluating pupil-facing AI.
Take-away: A practical safeguarding and wellbeing checklist for school use.
5Effective feedback in the age of AI
Staff will learn: Apply the EEF's principles of effective feedback to AI-supported marking and feedback.
They will: Evaluate sample AI-generated feedback against a quality checklist and extend an earlier classroom task into an AI-supported formative activity.
Take-away: A framework for judging whether AI feedback is likely to support learning.
6Assessment integrity and your AI practice plan
Staff will learn: Apply current JCQ guidance on acceptable and prohibited AI use in assessed work, and bring together learning from across the course.
They will: Work through assessment-integrity cases, complete the classroom task developed across the programme and finalise a personal practice plan.
Take-away: A finished AI practice plan covering literacy, wellbeing and assessment.