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How Do Map Apps Work?

The Science Behind Your Smartest Routes

8 April 2026

Unlocking the Magic Behind Your Favourite Navigation Apps

Ever wondered how your map app seems to know the quickest way to your destination almost instantly? You open it, punch in your address, and bam! It guides you faster than you can remember whether to take the first or second exit at that tricky roundabout. But what’s the clever tech that makes this possible?

Graph Theory: The Secret Map App Language

Behind the scenes, your phone is playing the world’s nerdiest game of Connect the Dots. Every intersection becomes a “dot,” and every road is a line linking these dots. Welcome to the fascinating world of graph theory — a fundamental concept in computer science that helps apps understand and navigate complex road networks.

Algorithms That Choose the Best Route (Not Just the Shortest)

Your map app uses smart algorithms like Dijkstra’s and A* (pronounced “A star”) to analyse possible paths and pick the fastest one. Because let’s face it, 5 miles on a motorway beats 3 miles crawling through a school zone with multiple zebra crossings and speedsters doing 15 in a 30!

How Your Phone Knows About Traffic Before You Do

Ever wondered how your app knows the traffic is backed up ahead? It’s simple—it’s secretly spying on you. Well, not just you, but every user of the app. Each phone sends anonymous speed and location data, creating a real-time map of traffic conditions. This collective data allows your app to spot jams, accidents, and even roadworks, giving you a heads-up before you’re stuck in a tailback.

Trust Your Map App—even When It Takes You on Weird Routes

All this data—from traffic flow to road closures—is processed to deliver one message: “This way, human. Trust me.” So, when your app reroutes you through six roundabouts and a narrow goat track, it’s not confused. It’s saving you from a worse alternative.

Ready to Dive Deeper Into the Tech Behind Your Map App?

Watch our full YouTube video to explore the incredible computer science powering your navigation tools. 

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

Visit our website to explore more cutting-edge tech news in the computer science world!

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What is Chip Binning?

Understanding the Silicon Sorting Hat of CPUs

8 April 2026

Ever wondered why processors like Ryzen 9 cost more than Ryzen 5, even though they look pretty similar? The answer lies in a clever process called chip binning — essentially, the art of sorting silicon chips after production to separate the stars from the rest.

Baking Silicon Cookies: A Simple Analogy

Imagine you’re baking 1,000 cookies. They all look alike, but some come out golden and chewy, while others might be a bit burnt or crumbly. Chip binning is a bit like that — but instead of sugar and flour, it’s silicon and electrons being tested. 

When manufacturers slice a large silicon wafer into hundreds of tiny processors, not all chips are created equal. Some perform faster and use less power — these are the “golden” chips. Others work well, but only if you don’t push them too hard.

Why Do Chips Get “Binned”?

After production, each chip is rigorously tested. The best performers earn premium titles like “Ryzen 9” or “Core i9” — these are the five-star biscuits of the tech world. Chips that don’t quite make the cut get repackaged as “Ryzen 5,” “Core i5,” or even the more modest “Pentium.”

Importantly, the cores or speeds you see on your CPU label are genuine. You can’t unlock hidden performance by fiddling with the BIOS—those disabled parts are either broken or physically removed. It’s like buying a chair with missing legs and hoping it will magically grow back.

The Benefits of Chip Binning

Chip binning helps reduce waste and maximise profits, ensuring that processors meet different needs and budgets. Thanks to this process, consumers get a range of CPUs that balance performance and price.

So, the next time you pick up a “binned” chip, remember you’re essentially getting the best available chip in that batch — the teacher’s pet of the silicon classroom, complete with all A*s but no free biscuit.

Want to learn more about how your computer’s brain really works? Check out our Lesson Hacker YouTube video.

For more Lesson Hacker videos, check out the CraignDave YouTube playlist HERE.

Visit our website to explore more cutting-edge tech news in the computer science world!

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Meet Dodona: A powerful coding platform built for real classrooms

8 April 2026

If you’re a computing teacher searching for a reliable, classroom-ready coding platform, then it’s time to take a closer look at Dodona.

In a recent interview, we sat down with the Dodona team to explore how their platform is helping teachers deliver engaging, effective programming lessons — without the usual headaches of setup, maintenance, or disappearing tools.

We’re also excited to see Dodona include our Time2Code pedagogy and problems to enhance the teaching and learning of programming. 

Time2Code and Dodona

Time2Code helps bring programming concepts to life through structured, interactive challenges that students can work through at their own pace, building confidence step by step. By integrating programmes of study like Time2Code, Dodona are helping teachers to manage the complexities of managing, delivering, assessing, troubleshooting and tracking progress. It’s a great example of how the partnership of pedagogy from Time2Code and the platform from Dodona complements each other to augment the teaching of a critical but often difficult aspect of the course.

Built by educators, for educators

One of the standout things about Dodona is its origin story. Unlike many platforms that come and go, Dodona was developed by university educators to solve real classroom challenges — particularly around giving students meaningful feedback at scale.

With features like automated assessment, visual debugging tools, and detailed learning analytics, it allows students to experiment, make mistakes, and improve — all while receiving instant, helpful feedback.

For teachers, this means less time spent troubleshooting code line-by-line, and more time focusing on teaching, supporting, and stretching students.

A platform that supports real learning

What really sets Dodona apart is its focus on feedback for both students and teachers. Rather than relying heavily on AI to generate answers, the platform is designed to support the learning process — not replace it.

Students are encouraged to think, test, and refine their work through a feedback-rich loop, helping them build genuine programming skills that will stand up in exams and beyond. For teachers there are unique reports that help spot students who may be copying each other!

It’s also fully browser-based, making it ideal for schools where installing software can be a challenge — a common issue across UK classrooms.

See Dodona at the Festival of Computing

We’re delighted that Dodona are an official sponsor of this year’s Festival of Computing 

They’ll be there on the day, so you can:

  • See the platform in action.
  • Ask questions directly to the team.
  • Explore how it could fit into your teaching.

Grab your tickets to this year’s Craig’n’Dave Festival of Computing now.

Watch the full interview on our YouTube channel ‘At the chalk face’ and learn more.

Want to dive deeper into what Dodona can do? Check their website.

Whether you’re looking to enhance your programming lessons or find a more sustainable coding platform, Dodona is well worth your time.

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Differentiation is dead

3 April 2026

For decades, teachers were told that differentiation was the golden ticket. If we could just tailor the right task to the right child, learning would blossom. So, we dutifully produced colour-coded worksheets. We tiered tasks with labels like all must, most should, some might. We grouped pupils by “ability” because that was supposed to help them learn at the right pace. 

But slowly, and then all at once, the profession began to realise something unsettling: traditional differentiation wasn’t working. Not for teachers, not for workload, and most importantly, not for students. 

By the early 2020s, major education bodies were openly questioning the practice. Inspectors in England found that differentiation often turned into, “the production of different tasks and resources that increased teachers’ workload with little impact on pupils’ learning,” and they linked it with lowered expectations for some pupils. Even government policy moved away from the term entirely, replacing it with “adaptive teaching” after concluding that differentiation, at least as commonly understood, too easily meant restricting access to challenging content. 

New ideas 

The story could have ended there. Another well-intentioned initiative quietly retired but something more interesting happened. 

A new idea emerged, one that didn’t involve dumbing down tasks or packaging children into fixed levels; and it came from an unexpected place: a global analysis of how the world’s highest-achieving learners actually learn. 

Professor Deborah Eyre’s work on High Performance Learning (HPL) landed like a challenge to everything schools thought they knew about ability. Her research showed that intelligence is “highly adaptable,” and that high performance can be taught, not simply observed. Instead of separating pupils by perceived potential, HPL argued that schools should adopt a “not yet” mindset, a belief that every student can develop the cognitive behaviours and attitudes associated with exceptional learners. 

This wasn’t theory in a vacuum. HPL had already been trialled across dozens of international schools, and the results were consistent: when you raise expectations for all students, more students rise than you ever predicted. Crucially, HPL required no separate lessons, no tiered tasks, no models, just a shared, demanding curriculum supported by strong scaffolding. 

While HPL was gaining traction, a parallel shift was happening in wider educational research. A major 2020 systematic review on differentiated literacy instruction concluded that differentiation does work, but only when it focuses on process and support, not on lowering the challenge for some students. The most effective programmes used scaffolding, individualisation, and student choice, while still expecting everyone to meet ambitious goals. 

Meanwhile, research into inclusive and equitable education covering more than a decade of studies found that high-quality teaching for diverse classrooms relies on maintaining common learning objectives and adapting the pathways, not the expectations. Targeted support, and thoughtful modification of process or environment mattered far more than simplified tasks. 

Taken together, these findings painted a clear picture: differentiation wasn’t wrong because it aimed to help students, it was wrong because it aimed too low. 

Aftermath of a pedagogical revolution 

If differentiation as we once knew it is dead, what has replaced it? 

A new model has emerged, one that feels at once more rigorous and more humane. 

Teachers now talk about high challenge for all, with scaffolding to ensure everyone can access that challenge. Instead of breaking learning into tiers, we design tasks worth doing and support students to succeed in them. Scaffolds are temporary, intentional, and removed as students gain mastery: sentence starters, worked examples, knowledge organisers, chunked instructions, peer rehearsal.  

Grouping is no longer fixed, but fluid, formed in response to the lesson, the moment, even the specific misconception that surfaces during questioning. The classroom becomes a living system, not a set of rigidly stratified tracks. 

Most importantly, expectations are the same for every child. Not because we ignore their differences, but because we finally understand that expectations are not where we differentiate, support is. 

Teachers now spend less time producing three sets of worksheets and more time thinking about the thinking

  • What do students need to understand this deeply? 
  • What will stretch them? 
  • What will help them get unstuck? 
  • How do I build metacognition, not just task completion? 

These questions are entirely aligned with Eyre’s findings that the characteristics of high performing learners: empathy, perseverance, flexible thinking, strategic awareness can be explicitly taught and developed.  

The shift has been profound. And liberating. So yes, differentiation is dead. At least the version we once knew. What replaces it is not a rejection of individual needs but a celebration of collective potential. It’s a model where we stop predicting who will struggle and who will excel based on previous performance and instead design teaching that pushes every student towards excellence with no bias or preconceived ideas. 

Perhaps, in this new paradigm, the most radical idea is also the simplest: 

Every student can achieve more than we once believed if we stop limiting their climb and start strengthening their ladder.

Check out the At the chalk face’ podcast for more!

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It’s not in the mark scheme

27 March 2026

When “not in the mark scheme” doesn’t mean wrong – what Quicksort teaches us about accepting valid alternatives 

A question that surfaces every revision season is this:
“If a student’s answer isn’t in the mark scheme, can they still get credit?” 

Happily, the answer is yes. 

Mark schemes guide examiners toward expected answers, but they’re not exhaustive. A response that demonstrates the required understanding, even if expressed differently, should still earn marks, and examiners are trained to recognise valid alternatives. 

Few topics illustrate this better than the story of the Quicksort, and the many ways students might correctly perform it. 

Remembering Tony Hoare, creator of Quicksort 

It felt fitting to reflect on this, following the sad news that Professor Sir Charles Hoare (“Tony Hoare”) passed away peacefully on 5 March 2026 at the age of 92. Hoare is widely regarded as one of the greatest thinkers in the history of computing. His most famous contribution was the Quicksort, the algorithm that has sparked more A level debates and classroom disputes than possibly almost any other. 

The origin story is wonderfully humble. In 1959, while studying machine translation at Moscow State University, Hoare needed a fast way to sort Russian words. Bubble sort wasn’t going to cut it. So, armed with paper and pencil, he devised Quicksort. Ironically, he couldn’t actually implement it, the language he was using, Mercury Autocode, was too limited. 

When he returned to England and joined Elliott Brothers in 1960, one of his first tasks was to write a Shellsort. After completing it, he casually mentioned to his boss that he knew a faster method. His boss responded with a sixpence bet – one Hoare won when Quicksort outperformed all expectations. 

So why don’t students’ Quicksorts match the mark scheme? 

Quicksort isn’t a single algorithm. It’s a family of algorithms. Researchers and engineers have created hundreds of variants, each valid, each useful, each “Quicksort.” 

This naturally leads to classroom friction: 

  • “That’s not how we learned it in Maths!” 
  • “But my teacher said the pivot never moves!” 
  • “This example is nothing like the mark scheme…” 

The truth is: students aren’t wrong. Teachers aren’t wrong, and neither is the mark scheme! They’re often just using different, but valid variants. That’s exactly why rigidly expecting a single form of Quicksort can result in unfairly penalising correct answers. 

What teachers should really look for with algorithms 

Don’t advise students to memorise code blocks. Instead of matching specific code, teachers and students should look for the essential components that all Quicksort variants share: 

  1. A pivot selection strategy

Common approaches include: 

  • First element 
  • Last element 
  • Middle element 
  • Random pivot 
  • Medianof3 
  • Medianof5 
  • Tukey’s ninther 
  • Adaptive schemes (e.g., introselect) 
  1. A partitioning scheme

Popular methods include: 

  • Hoare partition – efficient, uses two indices 
  • Lomuto partition – conceptually simple, uses one index 
  • Bentley–McIlroy 3way – excellent for data with many duplicates 
  • Dualpivot – used in Java’s standard sort 
  1. A recursive divide-and-conquer structure

Often supported by implementation choices such as: 

  • Tailrecursion elimination 
  • Cutoffs to insertion sort 
  • Memory layout optimisations 
  • Parallel variants 
  • Introsort hybrids 
  • Cacheoblivious versions 
  1. A base case

The recursion stops when a sub list contains 0 or 1 elements. 

  1. Combination of the results

When all partitions are sorted, the fully sorted list is formed. 

 

Where the confusion really comes from 

Most disagreement stems from the popularity of two different partitioning approaches: Hoare or Lomuto, and the fact that many teachers were taught one or the other. 

To complicate things further a visualisation called the “Hungarian dancers” (thanks to a viral YouTube video) uses the first element as the pivot but allows it to move during partitioning meaning it’s not a pure Hoare partition, it’s a variant that is inefficient but can make it easier to visualise what the pivot is doing. 

So, when a student’s working doesn’t match what’s in the mark scheme or what you’ve seen before, remember: it may still be a perfectly valid algorithm. 

Want clear, classroom-friendly examples? 

To support teachers CPD, we’ve included full walkthroughs of the Hoare, Lomuto, and the Hungarian variant with code in Python, C#, and Visual Basic in our book:
👉 https://www.amazon.co.uk/dp/B09NRBS8ND 

Oh, and that documented meeting between Tony Hoare and Nico Lomuto we included? That’s just fiction! …but Tony did win the sixpence from his boss! 

Check out the ‘At the chalk face’ podcast for more!

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Festival Of Computing OCR Fringe Event 2026

A sneak peek at the afternoon line-up

24 March 2026

The Festival of Computing 2026, co-founded and hosted by Bromsgrove School with AQA as headline sponsor, is the UK’s ultimate secondary computing education event. 

Happening on Wednesday 1 July 2026, at Bromsgrove School the festival is packed with hands-on CPD sessions, inspiring keynotes, networking opportunities, and a vibrant marketplace — everything you need to sharpen your computer science teaching skills and stay ahead in computing education.

Tickets are now available! 

OCR Fringe Event

The Fringe Event will take place in the marquee at 15:45, the perfect way to round off a day of inspiration. Tea, coffee, and biscuits will be available as you enjoy a packed line-up of short, inspiring talks from some of the brightest minds in computing education. This year, the Fringe Event section of the Festival of Computing is sponsored by Cambridge OCR.

Fringe Speakers

  • 15:50 – Becci Peters (CAS/BCS) – Free AI CPD
  • 15:56 – Matthias De Witte & Peter Dawyndt (Dodona Learning Technologies) Dodona: your online co-teacher for programming classes
  • 16:02 – Paul McKnight (VEX Robotics) – Competitive Robotics – Bringing Sport to STEM
  • 16:08 – Pete Dring (Fulford School) SEND in Computing: Quick wins for lessons, clubs & competitions
  • 16:14 – Harry Wake & Anna Wake (Mission Encodeable) Free Python coding tutorials to help students become confident, engaged, and exam-ready
  • 16:20 – Kat Morgan (Mindjoy) – Talking to your AI changes the Learning Paradigm
  • 16:26 – Becky Patel (Tech She Can) – Inspiring the next generation into technology careers
  • 16:32 – Alan Harrison (Harrison Proserv Ltd.) – One problem, six solutions – stretch the more able programmers with SIX HACK!
  • 16:38 – Gary McNab (The CODE Show) – Celebrating how 1980’s Britain entered the computing age

Don’t miss this fast-paced, insightful afternoon packed with tips, inspiration, and practical takeaways to enhance your teaching and spark your students’ creativity.

We can’t wait to see you there.

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VEX Robotics is inspiring the next generation of Computer Scientists

VEX Robotics – Bringing computing to life

18 March 2026

If you’ve ever wondered how to make computing more engaging for your students, you need to know about VEX Robotics

Their mission is simple: make engineering, computing, and STEM learning accessible, fun, and hands-on. Whether it’s building and programming a robot for an extracurricular club or preparing a team for a competitive challenge, VEX supports teachers every step of the way with guides, CPD resources, and online tools, all enabling us, the teachers, to bring coding to life. 

VEX has rapidly become a global leader in educational robotics. Originally focused on building parts for competitive robotics teams, VEX has expanded to provide hardware, software, and teaching resources for learners from early years right through to A-level, and all of us at Craig’n’Dave love them! 

From classroom robotics to competition

For teachers who feel intimidated by the word “competition,” VEX makes it easy to start small. Their classroom robots are designed to be plug-and-play, letting students explore programming concepts, sensors, and AI without worrying about complicated setups or fragile equipment. You can start with block-based coding, and when ready, move on to Python, making robotics accessible for all levels.

Even their competitive programs, like VEX IQ (Key Stage 2–3) and VEX V5 (KS3–5), emphasise collaboration over rivalry. Students are randomly paired with other teams, requiring them to work together, mentor each other, and strategise as a team. The result? Students not only apply computing and design skills but also gain soft skills like communication, problem-solving, and teamwork—the very skills employers and educators value most.

In the latest episode of At the Chalkface, Craig and Dave sit down with Chris from VEX Robotics to explore all things robotics in computer science and why it really matters.

Want to know more about VEX Robotics? Check out their website HERE 

 

VEX Robotics is at the Festival of Computing 2026

We’re thrilled to announce VEX Robotics as a Main Sponsor of this year’s Craig’n’Dave Festival of Computing, the UK’s biggest secondary computing festival. 

At the festival, you can:

  • Explore the VEX stand and see what they have to offer
  • Attend their CPD session, “AI Vision in Robotics – World Cup Fever Edition”
  • Discover how to introduce robotics in your classroom or after-school club.

VEX is also sponsoring the fantastic pre-event curry supper held at Bromsgrove School.

A special ticketed social the night before the festival. It’s a great way to enjoy a fun evening of networking, conversation, and inspiration. Spaces are limited, so grab your ticket while you can. 

Curry night tickets available HERE.

Why you should attend

The Craig’n’Dave Festival of Computing 2026 is all about inspiration, innovation, and collaboration

Whether you’re looking to refresh your computing lessons, spark excitement with hands-on projects, or explore cross-curricular links this is the event for you. 

With engaging CPD sessions and keynote talks, a Marketplace packed with leaders in computing education—including VEX Robotics—and plenty of opportunities to connect with fellow educators, it’s an experience no teacher will want to miss.

Get your festival tickets now.

Reserve your curry night ticket while spaces last.

 

Want to know more about the Festival of Computing? Check out all the details about the day HERE

Want to check out the full interview with Chris from VEX Robotics on our At the Chalkface YouTube channel and hear all about how VEX is shaping computing education?

Watch the video HERE.

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Why do we make chips out of silicon?

The science behind the chips that power your tech

You use it every day—your phone, your laptop, even your smart fridge—but have you ever stopped to think about why everything runs on silicon?

It turns out the answer is surprisingly simple: silicon is cheap. But as we all know, cheap doesn’t always mean good. In this case, though, it’s a bit of both.

Silicon: Common as muck, clever as anything

Silicon makes up more than a quarter of the Earth’s crust. So yes, you’ve probably walked over the next-generation processor material on your way to the shops. But being common isn’t enough. Pigeons are common, and no one’s building supercomputers out of those.

What makes silicon so special is that it’s a semiconductor. It’s not fully conductive like metal, and not fully resistive like rubber. It sits perfectly in the middle—just right. And when we use a clever bit of science called doping, we can control how it behaves electrically. That’s a game-changer when you’re trying to squeeze billions of transistors onto a chip the size of a fingernail (without setting it on fire).

Could we use anything else?

Sure—materials like germanium, gallium arsenide, or silicon carbide offer some exciting benefits. Faster speeds, better heat resistance, sassier conductivity. But they also come with major drawbacks: they’re expensive, fragile, or hard to produce in large quantities. Basically, they’re the tech equivalent of ordering a gold-plated pizza.

The Margherita of microchips

Silicon wins because it’s the perfect blend of availability, reliability, and cost-efficiency. It might not be flashy, but it gets the job done—and keeps your devices ticking without breaking the bank.

That’s why silicon is in everything from smartphones to voice assistants. And no, we’re not going to run out any time soon. We’ll probably lose our patience with system updates long before we run out of sand.

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How do you make a transistor?

5 March 2026

The magic behind the microchip

Have you ever wondered how a transistor—the fundamental building block of modern electronics—is actually made? It might surprise you to learn that these tiny powerhouses are crafted using light, acid, and an astonishing level of precision.

From sand to silicon wafer

It all begins with a simple disc of silicon—a fancy term for a purified bit of sand. This disc, known as a wafer, is then cleaned thoroughly. This wafer is the blank canvas on which billions of transistors will be created.

The art of photolithography: Tattooing logic gates

Next comes photolithography—a process that sounds complex, and it is! Imagine shining light through a patterned mask onto a photosensitive chemical layer on the wafer, much like developing a photograph. This process ‘hardens’ specific areas, creating a stencil for the next step. The unexposed parts are then etched away using acid—a process that’s as dramatic as it sounds!

Doping silicon: Turning sand into a semiconductor

What happens after etching? We ‘dope’ the silicon, which means introducing tiny impurities like boron or phosphorus. While they sound like magical potions, these elements transform ordinary silicon into a semiconductor—a material that can switch electricity on and off incredibly fast and at microscopic scales. 

Building layers upon layers

This process is repeated over and over, layering microscopic wiring and circuits until a fully functional integrated circuit emerges. These chips contain billions of transistors, each smaller than a virus particle, all working together to power your devices.

The full circle of transistor creation

Here’s the kicker: transistors are so tiny and complex that we actually need transistors—and computers—to build more transistors. The machines have quite literally unionised!

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What Are Transistors?

5 March 2026

Tiny Switches Powering Our Digital World

When you think about your phone, laptop, or even your electric toothbrush, you might not realise what makes them work. At the heart of it all is something so small we’re talking atomic scale and you’d need an electron microscope to see it – it’s the transistor. But what is a transistor? 

A transistor is an electric switch. It’s no ordinary switch; it’s capable of controlling electrical currents with incredible precision.

From Bulky Vacuum Tubes to Tiny Transistors

Before transistors revolutionised technology, computers relied on vacuum tubes—think of them as fragile glass bulbs that switched electricity on and off. These tubes were bulky, power-hungry, and prone to overheating, which meant early computers like ENIAC were enormous and unpredictable. A sneeze near one could cause a crash!

In 1947, the transistor arrived and changed everything. Imagine upgrading from a coal-powered steam engine to a sleek Tesla overnight. Transistors are tiny, fast, energy-efficient, and tough. They don’t need to warm up, don’t burn out easily, and certainly don’t require a dedicated cooling room.

How Do Transistors Work?

Think of a transistor as a tap for electricity—you can turn the current on or off. Imagine billions of these taps packed onto a chip no bigger than your fingernail. Connect them correctly, and you have a microprocessor capable of running complex apps, games, and even artificial intelligence. It’s the microprocessor that powers everything from TikTok to your computer’s homework apps (and yes, even that frustrating moment when you forget to save).

Why Transistors Matter: Logic Gates and CPUs

Transistors build logic gates—tiny electronic “bouncers” that decide whether electricity can pass through based on simple rules. An AND gate only says “yes” if both inputs agree, while a NOT gate acts like the sarcastic mate who always says the opposite. Combine enough of these gates, and you get a CPU, the brain of every computer.

Every app, every game, and every AI-powered tool is the result of trillions of these on/off decisions happening every second—a dazzling electric light show that’s the foundation of modern life.

Final Thoughts

So, next time you hear someone say “we’re living in the future,” remember to thank the tiny transistor. This small but mighty invention replaced room-sized vacuum tubes with microchips.

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How does MP3 compression work?

Why your music still sounds good (even when it’s squished)

5 March 2026

The science behind streaming-ready sound

Ever wondered how your favourite playlist fits into your phone’s storage without eating up all the space? Or how Spotify streams tunes using less data than sending a single cat meme? The answer lies in MP3 compression—a clever bit of computer science that reduces file sizes while keeping your music sounding crisp.

Here’s how it works

At its core, music is a waveform—a wiggly line that represents vibrating air. Storing that wiggly line in full detail would take up a ridiculous amount of space, which isn’t ideal for phones or streaming services. That’s where the MP3 algorithm steps in.

First, it transforms the waveform using something called a Fourier Transform. Think of it as turning your song into a shopping list of sound frequencies, showing how loud each note is.

Then comes the brutal bit: data gets thrown away. Why? Because human hearing isn’t perfect. We can’t hear super high frequencies, quiet sounds get masked by louder ones, and tiny differences often go unnoticed. MP3 takes advantage of this, binning the parts you wouldn’t notice anyway. It’s a bit like describing a painting using fewer colours—you lose some detail, but the overall vibe remains.

MP3 compression also rounds off numbers. For example, if a note measures 0.762983 loud, it might round that to 0.76. Your ears won’t know the difference, but your storage space will thank you.

So no, MP3 files don’t work like ZIP files looking for repeating patterns. They’re smarter than that—they selectively get rid of the bits your brain skips over, keeping what matters.

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When AI plays the music: The Velvet Sundown hoax that fooled the internet

5 March 2026

What happens when an AI band goes viral?

Imagine stumbling across a dreamy indie band on Spotify with 850,000 monthly listeners. They’ve got a verified profile, ethereal lyrics, and moody cover art — everything you’d expect from the next big thing in alternative music. Except… they’re not real.

Welcome to the curious case of The Velvet Sundown — an AI-generated band that tricked listeners, baffled journalists, and highlighted some big questions at the intersection of technology, music, and copyright law.

The fake band with real fans

On the surface, The Velvet Sundown seemed like a typical four-piece: Gabe, Lennie, Milo, and Rio. But internet sleuths noticed something odd — no live gigs, no social media, no interviews. Even the “press photo” looked suspiciously AI-generated.

Eventually, a supposed spokesperson admitted the entire band (and he himself) were fakes — creations built around music generated using an AI tool called Suno. Think ChatGPT for sound: you describe a vibe, it creates a song. Vocals, lyrics, melody — all fully synthetic.

Streaming algorithms, blurred realities

What’s worrying is how The Velvet Sundown thrived on Spotify’s algorithm, gaining thousands of listens through curated playlists and auto-play suggestions. Spotify hasn’t taken them down, and CEO Daniel Ek has confirmed there’s no intention to ban AI-generated music — unless it impersonates a real artist. But when even tech-savvy users can’t tell the difference, where’s the line?

Meanwhile, real musicians are furious. Artists like Elton John and Dua Lipa have pushed for stronger copyright protections in the UK, arguing that AI music models often rely on scraped human-made content. But government action? Still “under consultation”.

Does it matter who makes the music?

If you’re listening to lo-fi study beats or ambient playlists, do you care if the artist has a pulse? As AI becomes more convincing, it’s a real question — especially for young people growing up in a digital world where authenticity is often optional.

As Professor Gina Neff from Cambridge points out, we’re living in an age where deepfakes, AI influencers, and virtual personas make it increasingly hard to separate the real from the artificial. Music is just one part of that bigger picture.

Want the full story and a few laughs along the way?  Watch the full video to explore AI in music and more fascinating computer science concepts.


For more Lesson Hacker videos, check out the Craig’n’Dave YouTube playlist HERE.

Be sure to visit our website for more insights into the world of technology and the best teaching resources for computer science and business studies.

Stay informed, stay curious!

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Handwriting and embodied cognition

Think handwriting is dead in the age of keyboards, screens, and AI? Think again!

20 February 2026

In recent years, teachers have rightly questioned the purpose and design of homework. Should it reinforce what was taught in the lesson, or should it prepare students for the next lesson? Does homework meaningfully improve learning—and if so, what should it look like? 

Craig’n’Dave’s approach at GCSE and A level offers a practical answer: homework that prepares through concise instruction, encodes through handwriting, and consolidates through structured retrieval—so preparation and reinforcement work as a single loop. This recognises a key idea proposed by Alex Quigley, “in an AIfirst world, handwriting is not an anachronism but an aid to thinking and remembering that should sit alongside technology, not be displaced by it.” https://alexquigley.co.uk/learning-by-hand 

Handwriting as a cognitive engine 

With Craig’n’Dave homework, students begin by hand‑copying from what they see on the screen as they pause a video when the “take notes” icon appears. This is intentional. It makes the task low‑stakes, clear, and achievable for all learners without additional help. Every student can get started; no one is locked out by gaps in prior knowledge or confidence. From there, the Cornell structure guides students beyond transcription:

  • Notes – initially copied, illustrating and teaching students how to distil information.
  • Questions – students turn their notes into prompts that they can self‑test with later.
  • Key terms – students identify up to eight essential vocabulary items, creating a high‑utility glossary aligned to the topic.

This journey from copying to curating mirrors Alex Quigley’s argument that handwriting is an “essential aid to thinking and remembering,” not merely an old approach. He situates it within embodied cognition: the physical act of writing engages perceptual–motor systems that bolster memory and comprehension and helps students generate meaning.

Crucially, the rationale isn’t just conceptual. A growing body of evidence shows that handwriting triggers richer, more widespread brain connectivity than typing, supporting memory formation and information encoding. A recent EEG study found far more elaborate connectivity during handwriting than keyboarding—exactly the kind of deeper processing that Quigley argues we risk losing if we sideline pen‑and‑paper practices.

Quigley’s key point deserves to be foregrounded here. Handwriting slows thinking down in productive ways and strengthens encoding into long‑term memory.

Technology as the gateway, not the destination 

Craig’n’Dave videos are deliberately short

– capped at around 12 minutes – and focused solely on what matters for the specification. This is important because cognitive load matters. Long, meandering explanations increase the risk that students disengage or fail to identify the core ideas. Video, used in this way, offers three advantages that traditional teacher exposition cannot:

  • Control – students can pause, rewind and rewatch, removing the “one-shot” nature of teacher talk.
  • Accessibility – subtitles and translation into over 80 languages provide genuine support for EAL and many SEND learners.
  • Relevance – video aligns with how students already consume information, increasing the likelihood of initial engagement.

However, Craig’n’Dave’s model is careful not to confuse engagement with learning. The video is not the endpoint. It is the input. This distinction matters because, as Quigley reminds us, “learning improves when students move beyond passively receiving information and instead select, organise and transform it—something technology should enable but not replace.”

The eyes–brain–hand reinforcement loop

The Craig’n’Dave approach to outside-inside classroom activities creates a deliberate reinforcement loop.

Outside the lesson:

  1. Eyes watch the video.
  2. Brain processes and selects.
  3. Hand writes and organises (copy → question → key terms).

Inside the lesson:

  1. Eyes read the same notes.
  2. Brain reprocesses the same ideas.
  3. Hand applies them in tasks.

The same content is encountered repeatedly, but through different cognitive actions—watching/listening, writing/structuring, reading/applying—producing the reinforcement model that pairs preparation with consolidation. This design is exactly what Quigley advocates: use technology but also require students to embody the learning through handwriting so that ideas are encoded and retrievable.

Smart Revise: retrieval, vocabulary and reasoning 

The third component completes the picture and ensures that knowledge sticks. Smart Revise, Craig’n’Dave’s online platform has three modes students must also engage with to meet their weekly goals as part of their homework diet.

  1. Quiz – multiple‑choice questions to check understanding and surface misconceptions.
  2. Terms – flashcards to reinforce precise vocabulary (vital in computer science).
  3. Advance – typed answers to develop explanation and reasoning.

Where the video supports initial understanding and handwriting supports encoding, Smart Revise delivers retrieval and consolidation. This is where the Eyes–Brain–Hand loop pays off: students don’t just “review”—they retrieve content that has already been processed and embodied through handwriting, which research associates with stronger memory performance than typed note‑taking.

Why this matters for Computer Science 

Computer science demands:

  • Dense, technical vocabulary.
  • Abstract concepts (e.g., CPU architecture, memory, protocols).
  • Precise reasoning in written explanations.

Craig’n’Dave’s homework model maps neatly onto those demands. Video clarifies abstractions. Handwriting transforms exposure into memory through Cornell notetaking—leveraging the embodied cognition benefits. Online recall with Smart Revise secures terminology and strengthens reasoning. Nothing is excluded. Nothing is overused. Technology opens the door, handwriting does the cognitive heavy lifting, and retrieval locks learning in.

The best of all worlds

Rather than choosing between reinforcement or preparation, digital or traditional, Craig’n’Dave’s approach intentionally combines the strengths of each. This is precisely the balanced ecosystem Quigley calls for: keep the affordances of technology, but do not abandon the memory‑forming benefits of writing by hand.

Want to know more? Watch our At the chalk face video here.

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Significant pressure from Ofsted brings heightened expectations on schools over mobile phones

6 February 2026

The DfE’s updated guidance, published in January 2026, sets an unequivocal expectation: pupils should not have access to their phones at any point during the school day, including lessons, between lessons, breaktimes and lunch. That means the old policies of keeping phones in pockets and bags, “not seen or heard” is no longer enough. 

A new era of “nonstatutory” expectations 

Although presented as nonstatutory, Ofsted has made clear that schools risk failing to meet the “expected standard” for behaviour and attendance if they do not implement a phonefree environment. 

This creates an unusual tension. There is no law banning phones in schools, schools remain free, in theory, to set their own behaviour policies. In practice, however, Ofsted’s inspection framework effectively elevates the guidance to the status of expectation—leaving many leaders feeling compelled to comply or risk adverse inspection outcomes. 

The Education Secretary has doubled down on this stance, telling schools that phones should not even be used as calculators or for research during lessons, making the default position even tighter than before. 

Practicalities, pressures, and policy grey areas 

The guidance’s extension to other smart technology, such as devices capable of recording audio or video, adds complexity. While laptops and tablets remain permissible under BYOD schemes, policymakers seem blissfully unaware that all computing devices have similar capabilities today. It’s not about the hardware; it’s the functionality of the software! The boundary is pedagogically messy, and schools will need clear justifications for where they draw the line.  

To support enforcement, schools are encouraged to use their existing legal powers confidently. Staff can confiscate phones and are legally protected from liability if an item is lost or damaged while being held as a disciplinary measure.  

The guidance also nudges leaders toward explicitly listing mobile phones as items that can be searched for under the statutory powers available to headteachers and authorised staff. This marks a significant cultural shift, moving the issue into more formal safeguarding territory. 

The expectations extend to staff behaviour too. Teachers are not to use their own phones for personal reasons in front of pupils, framing consistency as a key element of culture. 
Even sixthformers are expected to refrain from using phones in front of younger students—challenging longstanding norms in many schools.  

Practical implementation is left deliberately open. The DfE mentions options such as: 

  • Securing phones in lockers. 
  • Pupils handing devices in at the start of the day. 

 However, both approaches require staffing, systems, and sometimes significant financial investment. Some schools have spent £75,000 or more on commercial locking solutions, fuelling concerns about whether these are wise uses of public funds when no implementation money is provided.  

Culture, communication and the role of parents 

Alongside restrictions, the DfE expects schools to teach pupils about the benefits of a phonefree environment, framing the move as a positive for wellbeing, focus and healthy social interaction. This shift from mere rulesetting to active cultural education may require new approaches to pastoral communication.  

Schools must also prepare for new expectations on parental communication. The guidance states that parents should not contact their children directly during the school day but should instead go through the school office. This may cause friction—particularly for parents who rely on immediate communication for care responsibilities or personal reassurance. Schools may need to prepare carefully for both increased administrative workload and possible pushback.  

Finally, the guidance sits alongside the unambiguous legal requirement to make reasonable adjustments under the Equality Act 2010. For some pupils with disabilities, medical needs or SEND, phone access during the school day may be essential. The law requires policies to accommodate these needs, meaning no school can truly operate a one-size-fits-all ban without flexibility. 

Where this leaves schools 

The current policy landscape is characterised less by new law and more by policy enforced through inspection pressure. Schools are being asked to implement significant cultural and logistical changes without statutory backing or funding, yet with strong signals that noncompliance could affect inspection outcomes. 

Whatever happened to preparing students for navigating adult life? Whether this approach will genuinely improve focus, behaviour and wellbeing—or instead create tensions with families, increased workload for staff, and substantial new costs—remains to be seen. One thing is certain, phones in schools have become far more than a behaviour policy issue. They now sit at the centre of debates about autonomy, safeguarding, digital literacy, and the evolving relationship between government, Ofsted and school leadership. 

 

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The Craig’n’Dave Festival of Computing 2026 is coming!

Sponsor Information Hub

Festival of Computing press pack

29 January 2026

The Craig’n’Dave Festival of Computing returns on Wednesday 1 July 2026 at the prestigious Bromsgrove School (B61 7DU), and sponsored by AQA,  bringing together secondary computing teachers, industry experts, exam boards, and education organisations for a day of inspiration, CPD, and networking.

Building on the success of 2025, the 2026 festival promises an even richer experience, with high-quality CPD sessions, keynote talks, a buzzing Marketplace, and social events including the VEX Robotics pre-event curry night and the Cambridge OCR Fringe & post-festival drinks.

Whether you’re a classroom teacher, an education technology provider, or a valued sponsor, the Festival of Computing is your chance to connect, showcase, and be part of the UK’s ultimate secondary computing education event.

Press Pack

To support your own marketing, PR, and communications, we’ve created a 2026 Sponsor Press Pack. Inside you’ll find:

  • Official event overview and key highlights
  • Speaker and CPD session summaries
  • Ready-to-use social media copy and hashtags
  • Sponsor acknowledgements

You are welcome to reuse any content from the press pack across your own channels.

Download the Festival Of Computing 2026 Press Pack HERE.

Key Festival Links

Festival & Partner Logos

For your own marketing or promotional use, we have official logos available for download:

These can be used in social media posts, newsletters, websites, or any communications where you want to showcase your involvement with the festival. Should you need any more information or material please get in touch.

 

Official Hashtags

Event hashtag: #FestivalOfComputing2026

Feel free to tag the festival and use the official hashtags when promoting your involvement.

We’re excited to have you on board as a sponsor for the Craig’n’Dave Festival of Computing 2026 and look forward to seeing you on 1st July at Bromsgrove School!

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Why are school exclusions rising? Causes, challenges, and solutions for teachers

17 January 2026

Permanent exclusions in English schools have reached record highs, with nearly 11,000 pupils excluded in 2023-24—more than double the figure a decade ago. The most common reason? Persistent disruptive behaviour. Behind the numbers lies a deeper question: Why is behaviour deteriorating, and are schools facing too much pushback when they act? 

Why is behaviour declining in schools? 

Teachers across the country are asking the same question. Several factors seem to be driving this trend: 

  • Changing societal expectations – Less trust in public institutions, including schools. 
  • Shifting blame – Increasingly, the narrative is that the teacher is the problem, not the child. 
  • Mental health challenges – Greater openness about mental health is positive, but schools are managing complex needs without adequate support. 
  • Social media conflicts – Online disputes spill into classrooms, creating tension and disruption. 
  • Inconsistent boundaries at home – Many pupils lack clear behavioural expectations outside school. 
  • Restorative approaches – While valuable, this can also trivialise the behaviour and diluting the consequences. 
  • Teachers feeling unsupported – Staff morale suffers when behaviour policies lack backing. 
  • Curriculum relevance – A curriculum that feels disconnected from pupils’ lives can fuel disengagement. 

 

Permanent exclusion: A last resort under intense scrutiny 

Headteachers describe exclusion as their “worst nightmare,” yet they are increasingly pressed to justify decisions. No school takes the decision to permanently exclude lightly. Despite huge folders of evidence of incidents and support documented in permanent exclusion packs (PEPs), parents are demanding independent scrutiny, and legal challenges are on the rise. 

Independent Review Panels (IRPs) have more than doubled in 10 years, but reinstatement rates remain low—around 11% of cases. In most instances, schools’ decisions are upheld, provided processes are transparent and evidence is robust. 

SEND and exclusions: A growing concern 

Here’s a sobering statistic: more than half of excluded pupils have identified special educational needs. While parents often argue that an Education, Health and Care Plan (EHCP) would help, many schools report they are already providing every possible resource. 

This raises a critical question: are exclusions disproportionately affecting vulnerable children? And if so, what does that say about the wider system? Alternatively, are we too quick to give children a label to justify their behaviour? It’s contentious to say the least. 

Impact on the child 

Exclusion is not just a school decision—it’s a life-changing event so schools should be challenged. The consequences can include: 

  • Interrupted learning and lower academic outcomes. 
  • Reduced future opportunities. 
  • Increased risk of criminal activity. 
  • A cycle of disengagement and disadvantage. 

Solutions: What can we do? 

If exclusions are a last resort, then the real work lies in prevention. Here’s what teachers and policymakers should focus on: 

  • Early intervention – identify and address issues before they escalate. That includes low-level teacher-student relationships and issues at home. Building a positive rapport with students and working with them to understand their passions, perspectives and challenges can really help. 
  • High-quality alternative provision – ensure excluded pupils don’t fall through the cracks. Not isolation in a small booth but exploring creating a school within a school. Old on-site caretaker accommodation is often used as an alternative provision and internal reintegration centre. 
  • Mental health and counselling services – support pupils with complex needs. The more we can invest in adults within the school that support students the better. Budgets are tight, but roles that are student facing instead of back-office staff should be a priority. 
  • Curriculum reform – Make learning relevant and engaging. We can’t change what we have to teach, but we can change how we teach. The appointed “curriculum drafters” have a real responsibility to ensure the 2028 curriculum is both interesting and fit for purpose. 
  • Investment in SEND support – The Government really need to find ways to reduce the pressure on mainstream classrooms. 

The bottom line 

Exclusions are rising, but so is the complexity of pupils’ lives. Teachers are navigating societal shifts, mental health crises, and SEND challenges—all while maintaining learning standards. The debate shouldn’t just be about whether schools face too much pushback. It should be about how we can build a system that better supports our children. 

Want to know more? Watch our latest At the chalk face episode, where we (Craig & Dave), dig into the reality of exclusions – why they happen, what’s changed in schools.

Watch it here.

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