Before schools talk about tools, policies, or routines, they need to understand AI literacy.

In this episode of Mr F’s AI Classroom, we explore the foundations of AI literacy and why it must come before any attempt to use AI in teaching and learning. Mr F breaks down the first three principles of AI literacy: understanding what generative AI actually is, recognising bias and ethical implications, and protecting pupil data through sound safeguarding and GDPR practice.

This episode sets the groundwork for responsible, confident AI use in schools.

You will hear:

• Why AI literacy is about judgement, not tools
• What generative AI is — and what it is not
• How bias and ethics show up in classroom use
• Why data protection is a professional responsibility

This is the starting point schools cannot afford to skip.

Many teachers feel that “prompt engineering” sounds technical, complex, or intimidating. In reality, it is simply about writing clear instructions — something teachers already do every day.

In this episode of Mr F’s AI Classroom, we explore how schools can support teachers to become confident AI prompt users without adding pressure or performance anxiety. Mr F reframes prompting as an extension of professional judgement, explains what confidence actually looks like in practice, and highlights the role of collaboration and shared expertise in building trust.

You will hear:

• Why prompt engineering is not a new skill for teachers
• What confident AI use really looks like in practice
• How collaboration builds confidence without comparison
• Why pressure and performative CPD undermine progress
• How teacher confidence with AI shapes student behaviour

This episode is for teachers and school leaders who want AI use to feel supportive, sustainable, and grounded in everyday practice.

Welcome back to Mr F’s AI Classroom.

Many schools now have an AI policy. Far fewer have shared understanding.

In this episode of Mr F’s AI Classroom, we explore why AI guidance often stops at compliance and how schools can communicate boundaries clearly so staff and students are not left interpreting policy in isolation.

Mr F examines the gap between intent and implementation, why staff understanding must come before student expectations, and how visible, consistent frameworks help protect teachers, students, and schools. The episode also introduces the idea of clear levels of AI use and explains why assumptions create unfairness, safeguarding risks, and misconduct.

You will hear:

• Why having a policy is not the same as shared understanding
• How unclear communication creates inconsistency and risk
• Why staff must understand AI boundaries before students
• Where AI guidance should live day to day
• How clear communication protects fairness and trust

This episode is for teachers and school leaders who want AI policies that actually work in practice.

Welcome back to Mr F’s AI Classroom.