Digital Podcasts for OCR and AQA Computer Science GCSE and A Level

Over the past year, I’ve been working on a project that combines my passion for teaching, my drive to innovate, and some of the most cutting-edge tools in digital media. The result? The launch of two AI-powered Computer Science podcasts, designed entirely with artificial intelligence and featuring 100% AI-generated voices.

🎙️ The Podcasts

The Ultimate A-Level Computer Science Podcast
Covering the full OCR A-Level Computer Science specification, this series explores algorithms, computational thinking, project work, and exam technique. The aim is to take challenging topics and break them into clear, practical, easy-to-follow lessons.
The GCSE Computer Science Podcast
Targeted at GCSE learners, this podcast offers step-by-step explanations, programming help, systems knowledge, and exam prep. It’s a perfect extra study companion for students who want to build confidence outside of lessons.

Both are available on Spotify, Apple Podcasts, and Audible—making them accessible worldwide.

🤖 AI at the Core
What makes these podcasts unique is that they are designed with AI from start to finish.

Episode scripts are generated with the help of large language models (LLMs), ensuring accuracy, consistency, and breadth of coverage across the curriculum.
Voice acting is performed entirely by AI actors—clear, professional, and natural-sounding. This keeps production fast and flexible, while also experimenting with how AI can play a supportive role in education.
Editing & consistency are handled using AI-driven tools, giving every episode a polished, broadcast-ready sound.

This means every episode is both scalable and sustainable—so learners can expect a continuous stream of content that’s high-quality and up-to-date.

🎨 The Design Process
Even the visual identity reflects this mix of professionalism and innovation:

The A-Level artwork is bold, structured, and academic, mirroring the depth of the subject.
The GCSE artwork is lighter and more approachable, perfect for younger learners.
The two designs feel like siblings—part of the same family, but distinct enough to suit their audiences.

🛠️ Behind the Scenes
Launching an AI-powered podcast was a huge learning journey in itself:

Mapping each episode to exam board specifications.
Automating distribution using Spotify for Podcasters (Anchor).
Fine-tuning metadata so the series appears properly on platforms like Apple and Audible.
Testing different AI voices until I found tones that balance clarity, friendliness, and authority.

📅 The Release Schedule
With 37 episodes lined up between December 2024 and June 2025, each one is timed to support revision cycles and exam preparation. Learners can follow along in a structured way, building knowledge week by week.

💡 Why AI Podcasts?
Education is changing—and AI opens up exciting new possibilities. These podcasts show how AI can:

Make expert-level content widely available.
Provide revision support anytime, anywhere.
Free up teachers’ time while still giving students personalised resources.

⚖️ Ethics & Responsibility
Of course, using AI in education comes with responsibilities. I’ve taken care to:

Be transparent: every episode is openly described as AI-generated, so listeners understand how it’s made.
Focus on accuracy: content is carefully checked against specifications to avoid misinformation.
Use AI to enhance, not replace: this is not about removing the teacher, but about offering an extra layer of support students can access independently.
Encourage critical thinking: students are reminded that AI is a tool—not a replacement for real understanding, discussion, and human guidance.

By taking this ethical approach, I aim to model how AI can be integrated into education responsibly, showing that it’s not about replacing human expertise but expanding what’s possible.

🚀 What’s Next?
I’m currently planning a dedicated website to host bonus materials, revision guides, code samples, and even interactive AI-driven quizzes linked to podcast episodes. The vision is to create a complete ecosystem where students can learn, revise, and test their knowledge in one place.

🔗 Listen Now

The Podcasts support all Computer Science courses but are specifically aimed at the GCSE OCR J277 and AQA 8525. For A Level they support OCR H446 and AQA 7517