Mr F's: AI Classroom

AI Literacy Is a Mindset, Not a Toolset

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.

Building Teacher Confidence With AI Prompts

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.

From Policy to Practice: Communicating AI Boundaries Clearly

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.

Clear Boundaries Around AI: Protecting Teachers and Students

As artificial intelligence becomes embedded in everyday school practice, unclear boundaries create risk rather than safety. In this episode of Mr F’s AI Classroom, we explore where schools should draw clear lines around AI use and why those boundaries protect teachers, students, and institutions. The episode addresses safeguarding and GDPR risks, the misuse of AI for homework, and why well-meaning workload reduction can quickly become professional vulnerability without clarity. Mr F also connects this discussion to the Department for Education’s Curriculum and Assessment Review, explaining why AI guidance must focus on objectives and levels of use rather than specific tools or platforms. You will hear: * Why boundaries are not bans, but protection * How unclear AI use creates safeguarding and GDPR risks * Why levels of AI use are more effective than naming tools * How clear boundaries prevent misconduct and over-reliance * Why waiting for statutory guidance is the riskiest option This episode is for teachers, school leaders, and anyone responsible for setting safe, realistic expectations around AI in education. Welcome back to Mr F’s AI Classroom.

What Good AI Use Actually Looks Like for Teachers

In this episode of Mr F’s AI Classroom, we move past theory and policy to focus on practice. What does good AI use actually look like when the goal is to reduce teacher workload without transferring thinking away from the teacher? Mr F explores how AI can be used to remove friction from planning, adapt resources for diverse learners, and provide low-stakes classroom support without undermining assessment integrity or professional judgement. The episode also addresses why poor prompts increase workload, how clear modelling prevents misuse, and what sustainable AI use really looks like in day-to-day teaching. You will hear: * What good AI use means for teachers, not students * How AI can reduce workload before and during lessons * Examples of low-stakes, ethical classroom use * Why prompt quality matters more than tools * How modelling AI use creates clarity rather than chaos This episode is for teachers who want AI to make the job more sustainable — not more complicated. Welcome back to Mr F’s AI Classroom.