Teacher CPD  

🤖 AI in the Classroom: An Introduction for Educators

Demystifying Artificial Intelligence & Discovering What It Can Really Do for You

🔍 Synopsis

  1. What AI Really Is (and Isn’t):
    Clear up myths and misconceptions about AI and explore what it can actually do in education right now.
  2. Practical Applications of AI in Teaching:
    See real examples of how AI can support planning, feedback, differentiation, admin tasks, and creativity.
  3. Ethical, Effective, and Evidence-Based Use:
    Learn how to use AI in ways that empower both teachers and students while safeguarding educational values.

👁‍🗨 Overview

Artificial Intelligence is not the future—it’s already in your classroom. But it doesn’t have to be overwhelming.

This session introduces educators to the basics of AI through the lens of teaching and learning. You’ll discover how AI can enhance your practice—not replace it—and how to adopt it safely, smartly, and sustainably.

We’ll cut through the hype and jargon to show you how to think critically about AI, ask better questions, and start using tools like ChatGPT and others to augment your teaching, not just automate your tasks.

🎯 Targeted Groups

  • Teachers
  • Heads of Department & Coordinators
  • School Leadership Teams

🚀 Objectives

  1. Build a foundational understanding of how AI works in educational contexts.
  2. Explore realistic and reliable classroom uses of AI—no coding required.
  3. Discover practical ways AI can help with marking, feedback, lesson planning, and admin.
  4. Discuss ethical considerations: bias, data use, and student development.
  5. Develop confidence in using, questioning, and controlling AI tools—rather than being overwhelmed by them.
  6. Leave with a toolkit of resources, prompt templates, and classroom-ready ideas to get started tomorrow.

 

Please note when making an enquiry please ensure you let us know what AI system the school is using. 

Also be aware that as AI is changing on a daily basis the course will also change to reflect this 

 

Professional

🧠 AI in Education  (A more advanced course - people could sign up for both a few weeks apart)

Building a Personal AI Teaching Assistant

Moving Beyond One-Off AI Searches to Deep, Ongoing Support

🔍 Synopsis

  1. Rethinking AI in the Classroom:
    Don’t just use AI to answer questions—build a system that learns your teaching style and supports you long-term.
  2. A Masterclass in AI-Augmented Teaching:
    Transform your workflow by training your AI assistant to plan, assess, differentiate, and reflect with you.
  3. Practical AI Tools for Everyday Teaching:
    Use platforms like Notion, ChatGPT, and custom prompts to automate planning, spark creativity, and save time.

👁‍🗨 Overview

AI is already outperforming students on knowledge recall. But it shouldn’t replace great teaching—it should free teachers to focus on what humans do best: questioning, connecting, and inspiring.

This workshop will help you move past surface-level AI tools and into personalised, powerful systems that understand your unique classroom needs. We’ll explore how to:

  • Build your own classroom AI “personal assistant”
  • Create prompts that mirror your values and context
  • Stop reinventing the wheel every term
  • Make AI your cognitive partner—not your replacement

🎯 Targeted Groups

  • Teachers
  • Heads of Department & Coordinators
  • School Leadership Teams

🚀 Objectives

  1. Understand the difference between single-use AI and long-term AI assistants.
  2. Learn to design and train a classroom AI that supports your goals, style, and learners.
  3. Explore how AI can automate admin and planning, freeing you for impactful teaching.
  4. Participate in a hands-on build session to create your own AI prompt system
  5. Discover ways AI can differentiate tasks and respond to learners’ needs.
  6. Try real classroom examples of AI-supported retrieval, feedback, and scaffolding.
  7. Leave with templates, tools, and a personal strategy for making AI work with you—not instead of you.

 

 

Business

🧠 Teaching Students to Thrive in the Age of AI - A course for all teachers

Focusing on What Machines Can’t Do: Complex Thinking, Creativity, & Adaptability

🔍 Synopsis

  1. Why Critical Thinking Matters More Than Ever:
    In a world where AI can write essays, solve equations, and generate art—students must master what AI can’t do.
  2. Equipping Young Minds for Complexity:
    Help students tackle ambiguous, open-ended, and real-world problems using flexible thinking and ethical reasoning.
  3. Teaching for Tomorrow, Not Just Today:
    Understand why today’s AI tools are just the beginning—and how to prepare students for a future we can’t fully predict.

👁‍🗨 Overview

AI is advancing fast—and what seems revolutionary today will soon look primitive.

From writing code to diagnosing illness, AI can already outperform humans in many structured tasks. So where does that leave our students?

This session empowers educators to rethink their curriculum and pedagogy for an AI-saturated world. You’ll explore how to shift your teaching away from memorisation and toward complex thinking, adaptability, and ethical problem-solving.

We’ll show you how to help students use AI without becoming dependent on it—and how to nurture the human qualities that machines can’t replicate.

🎯 Targeted Groups

  • Secondary Teachers & Curriculum Leads
  • Primary Teachers Exploring Future-Ready Skills
  • School Leaders & Policy Designers

🚀 Objectives

  1. Understand why AI will outperform students in most structured tasks—and what that means for curriculum design.
  2. Learn how to teach metacognition, critical thinking, and complexity tolerance in a tech-rich world.
  3. Explore how to move beyond tasks that AI does well, and design ones that challenge humans and machines differently.
  4. Introduce students to thinking flaws, bias detection, and misinformation spotting to out-think the algorithms.
  5. Develop classroom strategies for problem finding, not just problem solving—focusing on creativity and real-world inquiry.
  6. Empower students to use AI tools as collaborators, not crutches.
  7. Leave with practical tasks, projects, and frameworks that build genuinely future-proof learners.