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What is E-Ink?

And why has colour taken so long?

24 July 2026

The Screen That Thinks It’s Paper

E-ink is one of the most fascinating display technologies in modern computer science. Unlike LCD or OLED screens that emit light directly, e-ink is reflective, meaning it behaves more like paper than a traditional screen.
Instead of pixels lighting up, each one is a tiny capsule filled with fluid and charged black and white particles. Apply an electric field and the particles move—black to the top or white to the top. Once they’re in place, they stay there. No constant power draw. Just a static image that holds.
That’s why e-readers can last weeks on a single charge and remain perfectly readable in bright sunlight.

Bistability: The Secret Superpower

The key concept behind e-ink is bistability. Unlike LCDs, which refresh dozens of times per second, e-ink only uses energy when the image changes. This makes it incredibly power efficient—but also slow.
That slight delay is why page turns sometimes flash, and why e-ink is brilliant for reading but hopeless for video. It’s not broken—it’s just built for stillness, not speed.

Why Colour E-Ink Is So Difficult

Adding colour sounds simple, but in reality it’s a major engineering challenge.
There are two main approaches:

  • Adding multiple coloured particles inside each capsule
  • Using colour filters on top of a black-and-white layer

Both come with trade-offs. More particles means more complexity and control issues. Filters reduce brightness and sharpness—problematic for a display that relies on clarity and contrast.

A Physics and Manufacturing Problem

E-ink particles are relatively large at a microscopic level, which limits resolution and makes precise colour control difficult. Unlike OLED or LCD, which manipulate light directly, e-ink physically moves particles through fluid.
That means every improvement in colour adds cost, complexity, and manufacturing challenges—plus a few frustrated engineers staring into microscopes.

So Why the Delay?

Colour e-ink has taken so long because it has to balance three things at once: efficiency, readability, and visual quality. It must work in sunlight, consume almost no power, and still produce usable colour without losing its paper-like charm.
It’s improving—but slowly. Because e-ink doesn’t rush. It never has.

Want to see this explained in action? Watch our Lesson Hacker video on our YouTube channel.

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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How do drones keep balanced?

The science behind hovering magic

23 July 2026

Ever watched a drone hover perfectly in mid-air and wondered how it doesn’t just tip over like a table on uneven ground? The truth is fascinating — drones don’t balance by being still. They balance by panicking hundreds of times a second… and doing it with incredible precision.

Tiny Sensors, Big Job

A quadcopter isn’t stable on its own. Left alone, it would immediately tip, accelerate sideways, and fall — obeying gravity in the most dramatic way. The secret lies inside: an Inertial Measurement Unit (IMU). This tiny device, packed with accelerometers and gyroscopes, measures linear acceleration and rotation across three axes. Essentially, the IMU is constantly asking, “Which way is down, and how fast are we messing this up?”

The Control Loop: Chaos with a Plan

The IMU feeds its measurements into a flight controller, usually using a PID controller — Proportional, Integral, Derivative.

This may sound technical, but it’s simply a way to answer three questions:

  • How wrong are we now?
  • How wrong have we been?
  • How fast is it getting worse?

If the drone tilts even slightly forward, the controller speeds up the rear motors and slows the front ones. This tiny adjustment pushes it level again. And it doesn’t stop there — this process happens hundreds or thousands of times per second, far faster than any human pilot could react.

Torque Cancellation: Why Multiple Rotors Matter

Drones have multiple rotors to cancel out torque. Each spinning propeller wants to twist the drone in the opposite direction (thanks, Newton!). By pairing clockwise and counter-clockwise rotors, rotational forces cancel each other out. Want to yaw left? Speed up one diagonal pair and slow the other. Want to rise? Speed up all the motors equally.

Advanced Awareness: More Than Just Balance

GPS, barometers, magnetometers, and even vision systems give drones higher-level awareness — altitude, heading, and position relative to the ground. But these sensors are slower. The real magic of staying upright happens in the IMU and control loop: a relentless feedback cycle of overcorrecting tiny mistakes instantly.

Drones don’t hover by being steady — they hover by constantly falling and correcting faster than physics can react. What looks like effortless floating is actually hundreds of tiny “NOPE!” corrections every second. The result? A perfectly balanced drone and a glimpse into the brilliant engineering of modern flight.

Watch the full video HERE to see this balancing act in action.

Explore more tech insights and computer science fun at CraignDave.org

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Is fetch, decode, execute still a thing?

22 July 2026

Yes, it is—but it’s a lot more complicated than you remember.

If you remember your early computer science lessons, you might recall the simple mantra: fetch an instruction, decode it, execute it, repeat. That basic loop has been at the heart of CPUs since the 1970s—and surprisingly, it’s still there today. But modern processors have bulked up, gotten faster, and learned a few tricks along the way.

The classic rhythm of CPUs

At its core, every CPU still follows the same three-step process: fetch an instruction from memory, decode it into an operation the processor understands, and execute it. Software assumes this rhythm, and physics hasn’t suggested a better alternative yet. Strip away the cores, branding, and flashy diagrams, and the familiar fetch–decode–execute cycle remains.

Pipelining: the relay race of instructions

What’s different now is speed and efficiency. Modern CPUs don’t sit politely and handle one instruction at a time. Instead, they fetch multiple instructions ahead, decode them in parallel, and try to execute as many as possible simultaneously. This is called pipelining. Picture a relay race where runners start early, pass the baton multiple times at once, and occasionally bump into each other—chaotic but effective.

Out-of-order execution and speculation

Things get even more “clever” (and a little chaotic) with out-of-order execution. CPUs don’t always follow the order your program wrote; they execute instructions as resources are available, as long as the final result is correct. Add branch prediction and speculative execution, and your processor is effectively guessing what comes next, executing instructions in advance, and discarding the ones it didn’t need. If done right, this adds speed. If done wrong, well… let’s just say it occasionally makes headlines.

The same old cycle, just supercharged

Underneath all the complexity, the fundamentals haven’t disappeared. Instructions are still fetched, decoded, and executed. Even GPUs, AI accelerators, and multi-core monsters rely on this cycle—they’ve just widened, deepened, parallelised, and turbocharged it. Today’s CPU is like an over-caffeinated octopus juggling thousands of tasks at once—but from the software’s perspective, it still looks like a simple three-step dance.

So yes, fetch, decode, execute is absolutely still a thing. It’s just gone to the gym, had some coffee, and learned a few new moves along the way.

Want to see this explained visually? Check out the full video on our CraignDave YouTube channel.


Explore more computer science insights, tutorials, and resources at CraignDave.

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21 July 2026

It feels like just yesterday that RAM upgrades were practically free — and now a 32 GB stick can cost almost as much as a short city break. If you’ve been scratching your head over soaring memory prices, the usual explanation you’ll hear is “AI.” It sounds suspiciously vague… but in this case, it’s annoyingly accurate — just not in the way most people assume.

The Memory Family: RAM, VRAM, and HBM

To understand what’s happening, you need to know a bit about memory. RAM, VRAM, and the ultra-fancy AI memory called HBM are essentially cousins. All are forms of DRAM, manufactured using very similar processes, in the same factories, and by a surprisingly small number of companies — namely Samsung, SK Hynix, and Micron. That’s it. Three firms producing the vast majority of the world’s memory.
Think of it less like a bustling free market and more like three bakers deciding what bread exists in town.

How AI Data Centres Are Hoovering Memory

Enter AI data centres. Training and running large models isn’t just about GPUs packed with VRAM — they also need enormous amounts of system RAM to shuffle data, stage batches, and keep everything moving smoothly. A single AI server can easily house terabytes of DDR5 RAM, and a single data centre can contain thousands of such servers. That’s not “a bit more demand” — that’s hoovering the warehouse.

Why Memory Prices Are Climbing

Here’s the catch: memory fabs can’t just whip up more chips overnight. Building or expanding a fabrication plant takes years and costs billions. Memory is famously a boom-and-bust industry, and manufacturers have been burned before by ramping up production right before demand collapsed.
So, instead of expanding, they’re making the rational move: prioritising the most profitable memory. Right now, that’s HBM for AI accelerators, which sell for far higher margins than boring old consumer DDR5.
The result? Less capacity goes to consumer RAM, more goes to high-margin AI memory, and prices climb. Your PC isn’t suddenly demanding AI — it’s just that data centres can outbid you without even noticing you were in the room.

The Takeaway

Your next RAM upgrade isn’t expensive because it’s better. It’s expensive because someone else, somewhere, is willing to pay vastly more. Understanding the forces behind memory pricing helps make sense of those shocking sticker prices — and shows just how intertwined AI and everyday computing have become.

Watch the full video to see the story behind the RAM price hike in action.

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10 July 2026

The secret behind your £120 4K screen

Remember when buying a TV was a major event? A 32-inch telly back in the day was basically a family heirloom. You’d gather around it like it was the village fire, watching BBC One through a haze of static so thick it felt like the actors were performing behind frosted glass. And the price? A thousand pounds for a good one.
Fast forward to today, and a 43-inch 4K smart TV can cost less than a weekly meal deal. Witchcraft? Not quite. Mostly economics… and a little clever tech.

How modern TVs are made

The biggest change comes from how screens are manufactured. Old TVs relied on cathode ray tubes—massive, heavy boxes firing electrons at phosphor pixels, like some radioactive Nerf gun. Modern LCD and OLED panels, by contrast, are made with industrial precision.
Major manufacturers like BOE, AUO, LG Display, and Samsung Display produce enormous “mother glass” sheets the size of garage doors. These sheets are then sliced into individual panels like display lasagne. Larger sheets plus better yield rates dramatically lower the cost per screen.
Automation has also transformed the process. Making a TV panel today is closer to printing a newspaper than hand-crafting a delicate scientific artefact. Mass production crushes the price, plain and simple.

Why you’re part of the price equation

Here’s the spicy bit: your TV is cheap because you’re the product. Smart TVs collect data on what you watch, when you watch, and even how long you stick with Love Island before rage-quitting. This process, called Automatic Content Recognition (ACR), tracks content across apps and external devices. The data is anonymised but extremely valuable to advertisers.
In other words, manufacturers can subsidise the hardware cost because they’re making money on the software side. Think of it as a razor-and-blades model—except the razor is a 43” slab of glass, and the blades are your viewing habits.

The advertising ecosystem

Beyond data collection, your TV is prime real estate for ads and paid placements. Budget brands often earn more after you buy the TV than from the sale itself. It’s the same trick as cheap printers—but without the emotional abuse of running out of ink mid-document.

Market forces & competition

Finally, competition keeps prices low. There are countless TV manufacturers, and once you’ve nailed 4K LCD production, components like processors, LEDs, and Wi-Fi chips are cheap and commoditised. Seasonal spikes in TV purchases allow retailers to sell screens as loss-leaders, tempting you to buy a toaster, soundbar, or lifetime supply of discount stuffing along the way.

So yes, TVs are cheap because manufacturing is efficient, components are inexpensive, and companies quietly gather data about your viewing habits. That £120 miracle screen? Enjoy it… and maybe take a few minutes to disable tracking, or at least make sure your TV knows you have excellent taste.

Watch our Lesson Hacker video to find out more.

Discover more computer science insights and fun explanations at CraignDave.org.

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Four revision techniques that actually work

8 July 2026

The goal of revision is simple: retrieve knowledge efficiently while avoiding cognitive overload. The habits below help students revise in a way that strengthens long‑term memory rather than wasting time on ineffective strategies.

✅ DO: effective revision habits

  • Start revision early.
  • Work in 20–30-minute focused blocks with 5‑minute breaks.
  • Stop after 3–4 blocks to avoid fatigue.
  • Use each block for one specific retrieval‑based task from the four techniques below.
  • Use the four techniques across many sessions.
  • Mark your own work using official mark schemes.
  • Find a quiet, distraction‑free space.

❌ DO NOT: common ineffective practices

  • Do not reread notes, knowledge organisers, or revision guides.
  • Do not highlight or underline notes.
  • Do not rely only on multiple‑choice questions.
  • Do not cram.
  • Do not revise a single topic for long periods.
  • Do not multitask (music with lyrics, messaging apps etc).
  • Do not rely on AI marking.

 

Four revision techniques that actually work

1. Self‑testing with Cornell notes (active recall through reconstruction)

Students should use the Cornell notes created during learning to drive retrieval practice.

How to do it:

  1. Cover the main notes so only student‑generated questions and 8 key words remain visible.
  2. Use the key words as prompts to reconstruct the full notes from memory.
  3. Use the questions to check for depth and completeness.
  4. Uncover the original notes and compare:
    • Identify gaps.
    • Note missing steps.
    • Improve explanations for next time.
  5. Repeat this activity in a later revision block to strengthen the memory.

Why it works:

This is active recall, which significantly outperforms passive review methods. Reconstructing notes from prompts strengthens memory, improves metacognition, and provides clear insight into what still needs practice.

If students did not use the Cornell method during their course, they can use text books, Craig’n’Dave videos, knowledge organisers or revision guides as their reference material to make notes first.

 

2. Brain dumps with spider diagrams/mind maps

Use this to vary retrieval practice and avoid duplicating the Cornell notes process.

How to do it:

  1. Place the topic title in the centre of a blank page.
  2. From memory, create branches for all ideas, terms, diagrams, processes, and examples.
  3. Compare with class notes, textbooks, knowledge organisers or revision guides.
  4. Add missing content in a different colour.
  5. The missing branches form a priority list for the next revision cycle.

Why it works:

This technique uses visual, non‑linear retrieval to organise knowledge and reveal gaps. It’s low‑stakes, promotes metacognition, and strengthens recall.

 

3. Key‑term review using Smart Revise “Terms” Mode (Leitner System)

Flashcard practice works when spaced and retrieval‑based. Smart Revise automates this.

How to do it:

  • Use Smart Revise → Terms mode to practise vocabulary and definitions.
  • Initial flipping is passive; once confident, switch to interactive mode to write definitions.
  • The built‑in Leitner system increases practice of weaker terms and reduces repetition of mastered ones.
  • Review a small number of Terms every day, ensuring spacing.

Why it works:

Spaced retrieval is one of the most reliable ways to build long‑term retention. The Leitner system ensures time is focused on weaker areas, making revision more efficient.

If students don’t have Smart Revise they could be supplied with flashcards. Be wary of students making their own cards because they may miss some concepts, write incorrect definitions or misconceptions.

 

4. Practice papers under exam conditions + Smart Revise “Advance” mode

Past papers are essential but limited. Smart Revise adds extra high‑quality questions.

How to do it:

  • Sit timed papers with no notes and no assistance.
  • When past papers run out or you need variety, use Smart Revise Advance mode or Tasks to generate exam‑style questions.
  • Always self‑mark or use Smart Revise peer marking using mark schemes. Do not use any AI marking options for revision. It is too unreliable.

Why it works:

Exam‑condition practice improves retrieval fluency, timing, and confidence. Marking answers with real mark schemes deepens understanding of criteria and strengthens memory through deliberate error‑correction, something AI marking cannot replicate reliably.

 

How to Use Revision Guides and Knowledge Organisers

Treat revision guides and knowledge organisers as reference tools, not revision techniques.
Use them to:

  • Check whether a brain dump covered everything.
  • Check whether notes are good enough for self‑testing.

They are supporting resources, not methods.

 

Should Revision Be Fun?

Effective revision is meant to be cognitively demanding. Enjoyable, game‑like activities often feel productive but reduce the desirable difficulties needed for durable learning.

Fun has a place during initial learning, but revision works best when it involves effortful retrieval, not entertainment. Making the activity memorable can sometimes overshadow the knowledge itself.

The most effective revision techniques are rarely the most entertaining, but they consistently produce better long‑term results.

 

Want to know more? Check out our ‘At the chalk face’ episode on YouTube.

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The Year 7 dip: why enthusiasm fades – and how to rebuild it

Every secondary teacher knows the feeling. A Year 7 class arrives in September full of enthusiasm — hands up, eyes forward, eager to please. Fast forward a few months, and the same class can feel markedly different: quieter, less responsive, occasionally resistant.

Writing in TES, David Thomas, CEO of Axiom Maths, describes this familiar experience. His research suggests that, by the summer of Year 7, students are significantly less likely to enjoy Maths than they were in Year 6. What is striking is not just that this happens, but how quickly — and how unevenly.

Yet as many classroom teachers will recognise, this pattern is not confined to Maths. It can affect Computing too, albeit playing out on a slightly different timeline.

When the shine wears off

Thomas identifies the spring term, between Christmas and Easter as the critical point where engagement drops most sharply. With multiple lessons a week, Maths provides fertile ground for this decline to emerge quickly.

In Computing, Craig and Dave suggest the change is often delayed. With fewer curriculum hours, students tend to sustain their enthusiasm through Year 7. But the dip still comes.

Year sevens are generally keen all year, but it’s when they come back in Year 8 that you really notice the shift. They’re more comfortable in the school and more complacent about learning.

This is a useful reminder, the issue is not tied to a specific term, but to a broader transition. As students settle into secondary school, the initial novelty fades and deeper challenges begin to surface.

The balancing act teachers know too well

One of Thomas’s key findings centres on the tension between repetition and pace. Teachers must reconcile wildly different starting points, often reteaching content to establish a common foundation.

In principle, this is sound pedagogy. In practice, it can be deeply frustrating for students with some thinking, “We’ve already done this — why are we still here?” Others are completely bamboozled and trying to keep up.

In Computing, this disparity can feel even more pronounced. Pupils arrive with highly variable experiences — from those who have explored coding in depth to those who have barely used a keyboard. The result is a classroom where boredom and anxiety coexist.

The danger lies in assuming that this tension is unavoidable. While it may not be fully solvable, thoughtful planning, adaptive tasks, extension pathways, low-threshold/high-ceiling activities can mitigate its impact.

 

Confidence: the slow erosion

If the mismatch of difficulty is the spark, then loss of confidence is the slow-burning fire. Thomas’s research highlights a growing confidence gap — one that emerges before any clear attainment gap. Teachers see this every day, though often in subtle ways. In Year 7, when you pose a question to the class, it’s “me, me, me” — hands shooting up. By Year 8, some students just… stop. They don’t want to put themselves out there anymore.

What changes is not just academic confidence, but social awareness. Participation becomes risky. It is no longer about impressing the teacher, but about fitting in with peers.

This creates a difficult tension. The very behaviours that support learning — asking questions, making mistakes, persevering — are precisely those that can feel socially uncomfortable. Left unchecked, this quiet withdrawal becomes self-reinforcing. The more you think students don’t want to engage, the less you push it, and the less you push it, the less they do. It becomes a downward spiral.

Classroom climate: more than behaviour management

Thomas also identifies a decline in classroom climate — reduced collaboration, less effective listening, and increased disruption. This is not simply a behaviour issue, but a cultural one. Being “too cool for school” changes everything.

Once that shift takes hold, even well-planned lessons struggle to land. Group work becomes harder to sustain. Discussion loses its richness. Students who want to engage can feel inhibited by those around them. However, sustaining high expectations is essential, even when it feels difficult. The moment you lose heart, they lose heart.

The unequal recovery

Perhaps the most concerning aspect of Thomas’s findings is what happens next. Some students begin to re-engage — but this recovery is not evenly distributed. More advantaged pupils are more likely to regain enjoyment. Others remain disengaged, widening the gap in both attitude and, eventually, attainment.

Teachers recognise this pattern, even if they do not always name it explicitly. Some pupils find their way back through extracurricular activities or additional support. Others drift further away. For a long time, both teachers and students have responded to this by asking whether the curriculum is truly fit for purpose for all learners.

This tension sits at the heart of inclusive teaching. The goal is not universal passion, but universal opportunity.

Beyond “teenagers being teenagers”

A common explanation for declining motivation is adolescence itself. Hormones, identity, social pressures all play a role, but we should caution against using it as a catch-all explanation. Instead, perhaps there is a deeper mismatch between student needs and school structures.

As adolescents develop, they increasingly seek:

  • autonomy — choice and independence;
  • competence — a sense of progress and success;
  • belonging — connection and identity.

Yet, secondary schools can often drift in the opposite direction creating environments that are controlling, performance-focused which results in spoon-feeding and impersonal. Then we’re surprised when motivation drops.

This is not an indictment of individuals, but of systems. Teachers operate within demanding structures — large classes, heavy workloads, constant pressures. It is easy to fall into cycles of survival rather than reflection. But awareness is a starting point.

Rebuilding the spark

The motivation dip is not inevitable. Nor is it irreversible. If anything, the research and classroom reflections suggest that there is a crucial window — particularly towards the end of Year 7 where small, deliberate shifts can have lasting impact.

Some principles stand out:

  • Protect confidence early
    Notice the students who have gone quiet. Create opportunities where success feels visible and safe.
  • Guard the classroom culture
    Maintain high expectations for participation and collaboration, even when it is challenging.
  • Keep the subject ‘alive’
    Don’t strip out engaging activities simply because they are harder to manage.
  • Offer meaningful challenge
    As Thomas argues, the answer is not easier content, but richer experiences — problems that genuinely engage curiosity.

A profession worth backing

Ultimately, this is as much about teachers as it is about students. Sustaining engagement requires energy, reflection and, at times, resilience. Teaching is not a theoretical exercise. It is lived, complex, and often messy, but within that complexity lies opportunity. The patterns we see are not fixed; they are shaped by the environments we create. While no classroom is perfect, every classroom has the potential to shift the trajectory. The Year 7 dip may be predictable, but it is also preventable.

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Will quantum computers break encryption?

6 July 2026

The Truth Behind the Hype

Quantum computers are all over the headlines, and one question keeps cyber-security experts — and curious Reddit users — awake at night: will they break encryption? Let’s unpack this complex topic in a way that’s informative, a little fun, and very relevant for computer science enthusiasts.

What makes quantum computers different?

A standard computer thinks in bits — ones and zeroes, on or off. Quantum computers, however, use qubits, which can exist as one, zero, and everything in between simultaneously. This phenomenon, called superposition, allows quantum computers to explore multiple possibilities at once. Imagine trying every combination of a password simultaneously — it’s like a student’s excuse for not doing homework, but way more powerful.

Shor’s Algorithm: Why experts worry

The panic around quantum computing often centres on Shor’s Algorithm. This quantum method can factor extremely large numbers at lightning speed. Most modern encryption, such as RSA, relies on the difficulty of breaking these numbers into prime factors — essentially trying to un-mix a smoothie. With Shor’s Algorithm, those numbers could be split back into their ingredients in seconds. If a sufficiently powerful quantum computer existed, today’s encryption could be compromised.

The reality check: we’re not there yet

Here’s the reassuring bit: current quantum computers have only a few hundred noisy qubits — prone to mistakes, like a Year 10 coding project. To break modern encryption, we’d need millions of perfectly stable qubits with near-perfect error correction. This is decades away, requires extreme cooling near absolute zero, and a level of engineering that makes the Large Hadron Collider look like a Lego set.

Post-quantum encryption: staying ahead of the curve

By the time quantum computers are powerful enough to threaten encryption, post-quantum encryption will likely be in place. These new cryptographic methods are designed to withstand quantum attacks, keeping your data safe. In short, quantum computing is exciting — but not yet a cyber apocalypse.

Until then, your passwords are safe — unless you’re still using “password123”. In that case, your cat on the keyboard is a bigger threat.

Want to learn more about quantum computing and cyber security? Watch the full explainer video HERE.

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How does that website know where I live?

5 July 2026

The spooky “Good evening, Manchester!” moment

You’ve opened a website, and it greets you with “Good evening, Manchester!” and your first thought is: Right. Which one of you told them? Don’t worry—it’s not psychic powers, and your phone isn’t secretly spying on you. Unless you’ve been oversharing every thought on social media, it’s probably just IP geolocation—the tech equivalent of guessing someone’s postcode from the accent they mumble through a kebab.

IP addresses: Your digital return address

Every device connecting to the internet gets an IP address, a numeric label that works a bit like a return address on a letter (less charming, more colons if it’s IPv6). Internet providers assign these addresses in big regional blocks, and companies like MaxMind and IP2Location gather this data into huge databases mapping IP ranges to countries, cities, and sometimes even neighbourhoods.
So when you visit a website, it checks your IP against one of these databases and voilà—“Ah, this one’s from Leeds.” Not exactly Sherlock-level deduction, but surprisingly effective.

Why it’s not always perfect

IP geolocation isn’t 100% precise. Your village might be resolved to the nearest city, or worse, a default entry could place you in a random field in Kansas! Bad data can cause chaos—but it’s usually harmless.
And if you’re worried about your exact house number, rest easy. Websites would need your ISP’s internal records to get that, which are tightly guarded. Only a court order could lift that veil.

When accuracy improves

IP geolocation can be more precise if you use apps or services that access GPS, Wi-Fi positioning, or mobile networks—but only if you explicitly share that data. Otherwise, a plain IP lookup just gives a rough “local-ish vibe.”

Next time a website welcomes you by your city, don’t panic. It’s not magic, it’s not sinister surveillance, and there’s no crystal ball involved. It’s just your internet address doing the talking.
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Has Steam brought AAA gaming to Linux?

Exploring Valve’s Steam Deck, Steam Machine, and the Future of Linux Gaming

2 July 2026

Gaming on Linux has long been the underdog story of the tech world. Windows has dominated AAA game development for decades, thanks to its tight integration with DirectX, the go-to toolkit that makes characters pop, physics run smoothly, and graphics shine. But Valve, with its Steam Empire, may be changing all that.

Steam’s bold move: Linux gaming gets a boost

Valve’s Steam OS, built on Linux, powers devices like the Steam Deck and the Steam Machine. By cutting out Windows licensing fees, Valve can focus resources on performance, giving gamers more power for the things that matter most—the games themselves. Historically, Linux gaming was tricky, like showing up with Marmite sandwiches while everyone else had cheese and ham. Now, with Valve bringing AAA titles to Linux, the game is changing.

Proton: The unsung hero

The real magic lies in Proton, Valve’s translation layer built on Wine. Proton converts Windows’ DirectX calls into Vulkan, Linux’s preferred graphics API. It’s like putting on a pair of magic glasses: most games run smoothly, but sometimes the translation stumbles. Despite occasional quirks and minor performance overheads, Proton allows popular AAA games like Cyberpunk to run on Linux devices without major headaches.

The anti-cheat hurdle

While Proton bridges the DirectX gap, anti-cheat software remains a sticking point. Programs like EasyAntiCheat and BattlEye operate in Windows’ kernel space, a restricted area Linux doesn’t readily allow. This limits Linux’s ability to run competitive multiplayer titles securely, leaving some AAA games inaccessible unless Windows is installed.

The path ahead

Valve has made major strides: standardised distribution with Flatpak, Vulkan performance gains, and a vibrant modding community. Cloud gaming also promises to lessen OS limitations, opening the door for broader Linux adoption. Still, anti-cheat challenges and developer hesitation mean the journey isn’t over.
What do you think? Is Linux finally ready for AAA gaming, or are anti-cheat and DirectX hurdles too high for one company to overcome?

Join the conversation and let us know your thoughts!

Watch our Lesson Hacker video to find out more.

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What is Cloudflare?

Understanding the Internet’s secret superhero

2 July 2026

The Web’s bouncer, bodyguard, and personal trainer

If you’ve ever wondered why some websites load instantly while others feel like they’re moving through treacle, the answer might just be Cloudflare. You’ve probably seen the name pop up online, but what does it actually do? Think of it as the internet’s combination of bouncer, bodyguard, and personal trainer — keeping websites fast, secure, and significantly less explode-y.

Speed matters: How Cloudflare makes the Web faster

At its core, Cloudflare runs a massive global network of data centres — over 300 locations and counting. When a website uses Cloudflare, your requests get routed to the nearest data centre, thanks to something called a Content Delivery Network (CDN).
Imagine it like a library, but instead of books, you get your favourite cat videos or blog pages delivered from a server just a few miles away instead of across the Atlantic. This caching system makes websites load much faster, improving user experience and keeping impatient visitors happy.

Security first: Defending against cyber chaos

Speed is only part of the story. Cloudflare is also a cybersecurity powerhouse, filtering billions of dodgy requests every day. Using DDoS protection, Web Application Firewalls, and advanced bot-detection algorithms, it can stop malicious traffic in its tracks.
Think of it like this: if a website gets bombarded the way a toddler hits a piano — aggressively, loudly, and with zero rhythm — Cloudflare absorbs the attack. Their systems can handle traffic surges in terabits per second, essentially catching a falling building and saying, “No worries, sorted.”

Why developers love Cloudflare

One of the reasons Cloudflare is so popular is its accessibility. A single developer with a £2.99 shared hosting plan can suddenly enjoy enterprise-level performance and protection. It democratises security and speed in a way that once required expensive servers and hefty budgets. For many websites, putting Cloudflare in front of their infrastructure isn’t just smart — it’s survival.

A slightly worrying reality

Here’s the catch: with a huge portion of the internet relying on Cloudflare, a single company becomes a gatekeeper for global traffic. While outages are rare, when they happen, they can make the internet look like it’s having a midlife crisis. It’s a reminder that the internet, originally built as a decentralised network, now leans heavily on a handful of very important players.
Cloudflare is brilliant — genuinely — but it also highlights the delicate balance between speed, security, and centralisation in today’s online world.

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The social media debate: What it really means for schools

20 June 2026

There is a growing sense that something significant is about to change in how young people access the online world. Political rhetoric has intensified, pressure from parents has mounted, and governments—both in the UK and abroad—are increasingly signalling that intervention is inevitable. For secondary school teachers, this raises an important question: what will all of this actually mean in the classroom?

At first glance, the issue appears straightforward. Social media is linked to harm; therefore, restrict access. But as with so many aspects of education and technology, the reality is far more complex.

Good intentions, complicated realities

It is difficult to argue with the motivations behind potential reforms. Concerns around online challenges, grooming, abuse, and the wider impact on young people’s mental health are real and well documented. Some medical bodies have even drawn comparisons between social media and smoking, citing links to sleep deprivation, anxiety, and increased exposure to harmful content.

Politically, the tone is clear. There is a sense that action is no longer optional. The idea of a “game changer” has been publicly floated, suggesting that incremental change may no longer satisfy public demand for stronger safeguards.

However, international examples show how difficult implementation can be. In Australia, where restrictions have already been attempted, young people have continued to access social media through workarounds. Criticism has also emerged over which platforms were included or excluded from bans, highlighting a deeper issue: regulation is only as strong as its definitions—and those definitions are increasingly unstable.

The definition problem

At the heart of the debate lies a deceptively simple question: what is social media?

A decade ago, the answer might have seemed obvious. Platforms like Facebook, Instagram, or Snapchat. Today, that clarity has disappeared. The boundaries between “social” and “educational” technology are blurring at speed.

Consider the following:

  • A large language model providing conversational feedback to a student.
  • An AI tutoring platform offering personalised guidance.
  • A shared Word or Google document used collaboratively.
  • An educational YouTube video with comments enabled.
  • A revision platform encouraging regular engagement.

All of these involve interaction. All enable communication, either with other users or with AI systems that simulate human response. At what point does that interaction become “social”?

This is not simply a philosophical question; it has practical consequences. If legislation attempts to restrict “social media”, it risks sweeping up tools that are now integral to teaching and learning. Increasingly, the same features that make platforms engaging—interactivity, collaboration, responsiveness—are precisely the features that make them pedagogically valuable.

The uncomfortable truth is that there is no clear line anymore. The category of “social media” has expanded to the point where it overlaps with almost all digital tools students use.

The teacher reality

For teachers, the debate is not really about banning phones. Schools have already grappled with that issue in various forms. The emerging conversation is about banning or restricting software—and that presents a very different set of challenges.

In practice, stricter controls could bring a range of unintended consequences:

  • Safeguarding complexities: Age verification systems may be introduced, potentially requiring students to provide personal data or biometric information.
  • Consent fatigue: Schools could face increasing administrative burdens as they manage permissions, accounts, and compliance requirements.
  • Onboarding friction: Even simple tasks, like signing up to a revision platform, may become more cumbersome, reducing lesson efficiency.
  • Digital overload: Teachers may spend more time troubleshooting access issues than delivering learning.

Anyone who has tried to get a full class logged into an online platform understands how fragile that process can be. Add layers of verification, restrictions, or blocked functionalities, and the risk is clear: many teachers may simply abandon these tools altogether.

This raises a critical question. At what point does protection begin to undermine the very educational experiences it is meant to support?

The risk of unintended consequences

There is also a broader concern that outright bans could push behaviour underground rather than eliminate it. If students are determined to access social platforms—as evidence suggests they are—they will find alternative routes.

These may be less visible, less regulated, and ultimately more dangerous.

For example, a shared document or file link can quickly become a hidden communication space. Without oversight, such environments could replicate the very risks that legislation is trying to address, but without the safeguards that established platforms at least attempt to provide.

This is the paradox at the centre of the debate: restricting access may reduce exposure in theory, but in practice it may simply relocate it to harder-to-monitor spaces.

Possible directions for change

While no single solution has emerged, several approaches are being explored. These range from technological controls to cultural shifts in behaviour.

Some proposals include platform-level changes such as removing auto-play or endless scrolling features, both of which are designed to increase user engagement. Others involve structural interventions, like age verification at the device or app store level, or even curfews that limit overnight usage.

There is also increasing interest in reframing the issue as a public health concern. Encouraging conversations about screen time in medical settings, collecting data for research, and educating families about usage patterns all point towards a more holistic approach.

At the same time, there are calls to place greater responsibility on technology companies themselves—requiring them to design safer systems rather than relying solely on user behaviour or external regulation.

Where does this leave schools?

For now, uncertainty remains. Yet one thing feels certain: the direction of travel is towards increased regulation, not less.

In this context, schools may need to hold onto a few key principles:

  • Digital literacy remains essential. Even if access is restricted, understanding online environments will still be crucial for young people.
  • Education cannot rely solely on prohibition. Students will encounter these technologies eventually, and they need the skills to navigate them safely.
  • Balance will be critical. The challenge is not just to protect students, but to do so in a way that preserves the benefits of digital learning.

Ultimately, the debate is not just about social media, it’s about how we prepare young people to live in a digital world that is constantly evolving.

A conversation worth having

Perhaps the most important takeaway is that there are no easy answers. The question is not whether young people should be protected online, there is universal agreement on that point. The question is how to do so effectively, without creating new problems in the process.

For teachers, this is not an abstract policy discussion. It is a daily reality, lived out in classrooms where technology is both a powerful tool and a potential source of risk.

As the conversation continues, one question remains open, and vital:

Where should we draw the line between learning tools and social platforms?

It is a question that policymakers, educators, parents, and students will need to answer together.

Want to know more? Check out our ‘At the chalk face’ episode on YouTube.

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Coding in the age of AI: Why it still belongs in the classroom

19 June 2026

Every few years, education is visited by a familiar prediction: an aspect of a subject is declared obsolete, overtaken by technological advance. Recently, that spotlight has fallen on coding. With AI tools now able to generate functional code in seconds, some are asking a seemingly logical question: if machines can code for us, why should students learn to do it themselves?

It’s an appealing argument, particularly in a profession that has weathered repeated waves of technological enthusiasm, but it is also fundamentally flawed. Not because AI won’t reshape coding — it undoubtedly will — but because coding has never been solely about producing future programmers.

If anything, AI strengthens the case for teaching coding, rather than weakening it.

Coding as a way of thinking

One of the most persistent misunderstandings about coding is that it is simply a technical skill — a matter of writing commands and producing working programs. In reality, coding is better understood as a form of cognitive training.

When students learn to code, they are developing a set of mental habits that extend far beyond the screen: problem solving, logical reasoning, hypothesis testing, creativity within constraints, and resilience through iteration. A bug is not just a mistake; it becomes a prompt for investigation. Students are required to test ideas, refine their thinking, and persist through failure.

Coding functions almost as a “prosthesis” for thinking — extending a student’s ability to engage with difficult ideas. It creates an environment where trial and error is not only accepted but encouraged, helping students to build confidence and capability.

These are not incidental by-products of coding. They are the point.

Importantly, these are precisely the skills that will matter most in a world shaped by AI. As tools become more capable of producing outputs instantly, the human role shifts towards evaluating, questioning, and improving those outputs. Coding cultivates the kind of thinking required to do exactly that.

In an AI-infused world, the question is not whether students can generate answers — but whether they can understand and assess them.

Curriculum reform isn’t retreating — it’s reinforcing

Recent curriculum developments underline this point. The 2025 Curriculum and Assessment Review makes it clear that computing — including programming — is not being phased out. Instead, it is being strengthened.

The rationale is straightforward: digital skills are essential for participation in modern society. From healthcare to law, logistics to the creative industries, technology underpins every sector of the economy. Students need to understand not just how to use technology, but how it works.

The planned 2028 curriculum reflects this shift. A broader, more future-facing Computing GCSE will replace the narrower Computer Science qualification, embedding programming within a wider framework of digital literacy, data, systems thinking, and computational reasoning. At the same time, proposals for new qualifications in AI and data science further reinforce the importance of coding as a foundational skill.

This is not a retreat from coding. It is a recontextualisation — recognising that coding is part of a larger ecosystem of digital understanding.

The workforce problem no one is talking about

Beneath debates about AI replacing programmers lies a quieter, longer-term risk: the erosion of the talent pipeline.

Every experienced developer begins as a novice. Those early stages — writing basic programs, making mistakes, learning through practice — are essential. If AI begins to replace entry-level coding tasks, and education responds by scaling back programming, we risk creating a generation with limited understanding of how systems actually work.

AI can generate code, but it cannot take responsibility for it. It cannot fully ensure that systems are secure, ethical, or sustainable. It cannot fully anticipate the societal consequences of the technologies it helps create.

Human expertise will still be required — but that expertise must be developed over time. Without continued emphasis on coding education, that pipeline may falter.

More than code: the meta-skills that matter most

When students write programs, they are not just learning syntax. They are developing transferable skills that will shape their broader lives: attention to detail, abstraction, decomposition, adaptability, and evaluation.

These meta-skills are increasingly valuable in a world where information is abundant and rapidly generated. The ability to approach unfamiliar problems methodically, to break them down, and to refine solutions is vital — not just in computing, but in everyday decision-making.

Evidence suggests that students who engage with coding from an early age often demonstrate stronger analytical and problem-solving abilities. More importantly, they develop ways of thinking that persist into adulthood.

In a landscape where AI can produce answers at speed, human value lies in asking the right questions — and in recognising what makes a good answer.

So, should we still teach coding?

The real question is not whether AI can write code. It increasingly can. The more important question is whether students will understand the systems that shape their lives, think critically about the tools they use, and develop the cognitive flexibility needed to navigate change.

Coding remains central not because every student will become a programmer, but because no student can afford to be digitally illiterate.

AI may transform how software is written. It will not replace the human capacities that coding develops: thinking, questioning, creating, adapting. Those remain at the heart of progress — and will continue to be so.

Rethinking assessment: the future of the NEA

If coding is to remain central, then assessment must evolve alongside it. Nowhere is this more evident than in the future of the A level Computer Science non-examined assessment (NEA).

Rather than replacing the NEA with a written exam — and losing the creativity and practical programming it fosters — there is a compelling case for reimagining it to reflect the realities of modern development. AI should not be excluded; it should be embraced as part of the process.

A future NEA could place AI at the heart of problem-solving, with students demonstrating how they work alongside these tools rather than independently of them. Instead of producing lengthy written reports documenting every stage, students might maintain a concise, structured development diary — potentially even as a video record — capturing their thinking and decision-making.

This process could be organised around a series of stages we call. “CODEAI”:

  • Create: Developing an initial solution to a problem.
  • Orchestrate: Collaborating with others and with AI tools.
  • Debug: Integrating components and resolving issues.
  • Experiment: Exploring alternative approaches and improvements.
  • Adapt: Refining and modifying generated code.
  • Improve: Enhing the final solution to better meet user needs.

Such an approach preserves what makes the NEA valuable — creativity, independence, and problem-solving — while aligning it with the evolving reality of coding in an AI-supported world.
Coding is not disappearing. It is changing — and education must change with it.

By keeping coding at the heart of the curriculum and adapting how we teach and assess it, we ensure that students are not just passive consumers of technology, but active, critical participants in shaping its future.

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Pearson – shaping the future of computing education

18 June 2026

As part of our countdown to this year’s Craig’n’Dave Festival of Computing, we recently caught up with Tim Brady, Subject Advisor for Computer Science and Digital at Pearson, to learn more about one of our fantastic event sponsors.

Pearson is a global leader in education, working with teachers, schools and learners to provide qualifications, resources and support that help students develop the knowledge and skills they need for the future. From assessment expertise to practical classroom guidance, Pearson plays an important role in shaping the evolving landscape of computing education.

We spoke with Tim about the challenges facing Computer Science teachers today, the future of assessment, and why Pearson is excited to be part of this year’s Festival of Computing.

 

Can you tell us a little about Pearson and what they do?

Pearson is the world’s lifelong learning company, supporting schools and teachers across the UK and internationally with qualifications, resources and guidance that help students build the knowledge and skills they need now and in readiness for the future.
This includes working as an awarding organisation with teachers delivering Pearson Edexcel GCSE Computer Science, alongside a wider range of digital and computing qualifications, with practical classroom support and assessment expertise.

What students know matters, but what they can do with what they know is key.

As technology evolves and AI advances, so too should the knowledge and skills students are developing now and in readiness for what’s next. That’s why we’re focused on shaping qualifications and support that reflect how computing is changing, informed by evidence and what teachers and students are calling for.

 

Are there any common challenges in education that Pearson aims to solve?

One of the biggest challenges in computing education is keeping pace with change in a way that feels manageable in the classroom.
Recent insights from the Pearson School & College Report 2026, drawing on over 14,000 voices across UK education, highlights how this is playing out in practice. While 34% of secondary school teachers say they feel confident using AI in their roles, just 18% say they feel confident teaching students about AI.

This points to a broader shift across schools and classrooms. Expectations are changing, technology is evolving, and curriculum and assessment reform in computing is part of that wider picture.

Our focus is on helping to bring clarity to that. In Computer Science, we support teachers with a range of teaching resources, subject advisor guidance and practical help. Assessment is a key part of this too. Since 2022, over 30,000 students have taken our onscreen GCSE assessment, giving us strong insight into what supports success and how this approach can help equip students with more real-world experience and a more applied approach to the subject.

Ultimately, our aim is to make change feel more manageable, so teachers can feel confident not just keeping up, but responding to what’s coming next.

 

What inspired Pearson to get involved in Craig’n’Dave’s Festival of Computing?

We decided to get involved in the Festival of Computing because it brings together a strong community of teachers at an important moment for the subject.

With changes on the horizon in curriculum and assessment, it’s a valuable opportunity not just to be part of the conversation, but to help shape the future, including qualifications that reflect what’s happening in classrooms now, and how the subject continues to evolve in areas such as onscreen assessment, AI, programming pedagogy and digital skills.

In that context, it’s important that qualification design is informed by real classroom experience.

That means listening, sharing our perspective, and creating opportunities to contribute, whether that’s through joining our teacher panel or taking part in research and discussions that inform how qualifications and assessment evolve.

At the Festival, this comes to life through direct conversations throughout the day, helping us understand what’s working in practice and where further support is needed.

 

What are Pearson most excited about for this year’s Festival of Computing?

We’re excited about bringing the future of computing and assessment into something even more practical and meaningful.

This year, we’re delivering a CPD session titled “Exploring the Future of Computing and Practical Onscreen Assessment”, where attendees can see how our onscreen Paper 2 works in practice. Drawing on four exam series and over 30,000 student entries, we’ll share what we’ve learned about what supports success, alongside real examples of tasks and question types.

What makes this particularly exciting is the chance to move beyond theory. The session offers a straightforward, accessible walkthrough of the model, helping demystify onscreen assessment and showing how it supports a more applied, real-world approach to learning.
It also creates space to explore where the subject is heading, answer practical questions and hear different perspectives on what comes next.

 

What can people expect to see from Pearson at this year’s festival?

The Festival of Computing provides a great opportunity to see how Computer Science assessment is evolving in practice.

At the event, we’ll be sharing examples of onscreen assessment, helping attendees explore how students approach applied tasks and demonstrate their understanding in more realistic contexts.

This reflects a broader shift in the subject, towards application, problem-solving and real-world relevance — bringing assessment closer to how computing is used beyond the classroom.
Those visiting the stand in the Marketplace will also have the opportunity to explore our wider support, speak with the team and exchange experiences, as well as get involved in shaping what comes next through our growing teacher panel.

 

Our Festival of Computing is all about inspiration, innovation and collaboration for secondary computing teachers. How does Pearson fit into that, and why was it important for you to be involved?

Pearson aligns closely with the goals at the heart of the Festival of Computing: inspiring the next generation, supporting innovation in teaching, and building strong professional communities around the subject.

In practice, that means supporting teachers to develop students’ digital, problem-solving, and computational thinking skills, while helping make the subject accessible, engaging, and relevant for every student.

Being involved is important because those teaching the subject are (and should always be) at the centre of how it evolves. Events like this create a space to share ideas, explore new approaches and learn from what’s happening in classrooms.

For us, it’s also an opportunity to listen as much as contribute, making sure the qualifications and support we develop reflect real classroom needs and keep pace with how the subject is changing.

 

How do people find out more about Pearson?

You can find out more about Pearson Edexcel GCSE Computer Science, including teaching support and contact details, on the Pearson website.

For insights into the latest trends and challenges across UK education, you can explore The Pearson School & College Report 2026.
If you’re interested in getting more involved, you can also register your interest to join our teacher panel and contribute to future developments in computing qualifications and assessment.

Computer Science teachers are shaping far more than technical knowledge, they’re helping students develop the creativity, resilience and problem-solving skills they need to thrive in a digital world.

Our role is to support that, standing alongside teachers with qualifications, resources and practical guidance that help make computing accessible, engaging and relevant in the classroom.

 

Don’t miss it

Wednesday, 1st July 2026 – Festival of Computing, at Bromsgrive School.

It is going to be a packed day full of innovation, inspiration and one of this year’s sponsors. A huge thank you to Tim Brady from Pearson for chatting to us!  If you want to know more about Pearson, check out their website.

Want to know more about this year’s Festival of Computing or the CPD sessions availableClick HERE.

If you’re attending the Festival of Computing this year, make sure you visit Pearson in the marketplace and attend their CPD sessions.

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.

See you there!

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Why Do So Many Teachers Leave Teaching?

17 June 2026

If you ask almost any secondary teacher in England why colleagues are leaving the profession, you’ll likely hear a familiar answer: “It’s not the teaching — it’s everything around it.”

That simple line captures a much deeper and more complex story. One that blends policy, workload, school culture, and personal experience. To really understand it, we need to go beyond statistics and look at the lived reality of teachers themselves.

Two such stories, that of Craig and Dave, former teachers turned education resource providers offer a powerful lens through which to explore the issue.

The big picture: what the data tells us

Across Department for Education research and national surveys, five consistent drivers explain why teachers leave:

  • Excessive workload.
  • Stress and poor wellbeing.
  • Pupil behaviour challenges.
  • Pay and financial considerations.
  • Leadership, accountability, and working conditions.

At the top of that list, by a considerable margin, is workload. Around 90% of teachers considering leaving cite it as a factor, and it’s not difficult to see why.

The job is no longer just teaching. It is planning, marking, data entry, behaviour logging, meetings, emails, evidence-gathering, and more. Individually, each demand is reasonable. Together, they become overwhelming.

But statistics only take us so far. What does this actually feel like?

Craig’s story: when the job becomes too much

Craig didn’t go into teaching expecting to leave. Quite the opposite, he loved it. He progressed quickly, becoming head of department and taking on additional responsibilities. On paper, it looked like success.

But beneath the surface, something was changing.

“I didn’t notice it happening… it chipped away at me.”

The workload wasn’t just heavy, it was relentless. Leadership expectations, accountability measures, and administrative tasks accumulated to the point where prioritising became impossible. At one stage, Craig found himself asking his line manager a simple question:

“What do you want me to do first?”

The answer? Everything.

This is exactly what the research highlights: workload isn’t just about long hours, it’s about competing, often unrealistic demands. Teachers are expected to plan meticulously, mark extensively, track data, attend meetings, respond to initiatives, provide evidence and react to constant accountability pressures all at once.

Eventually, the impact became personal. Craig describes a gradual slide into stress, anxiety, and ultimately medically diagnosed depression. Crucially, it wasn’t the classroom that caused it.

“The bit I loved, the teaching, I was doing less and less of.”

This aligns closely with national findings: many teachers report that they still love teaching itself but cannot sustain the conditions around it.

At his lowest point, Craig found himself walking into lessons unprepared. Not through laziness, but exhaustion.

“What did we do last lesson? … That wasn’t for them, it was for me.”

For a conscientious teacher, that moment is deeply uncomfortable and it creates a vicious cycle. Overwork leads to underperformance, which leads to guilt, which worsens wellbeing.

Eventually, Craig had to step away from full-time teaching, but his story doesn’t end there.

When stripped back to just teaching — no meetings, no excessive admin, no leadership burden — he rediscovered what he loved.

“I fell back in love with the profession.”

That contrast is telling.

Dave’s story: When leadership and culture don’t align

Dave’s journey out of teaching took a different path, but points to another key factor in teacher attrition: leadership and working culture.

As an experienced assistant headteacher, Dave was at a career crossroads, considering promotion to deputy head. But a series of interactions made him question whether he wanted to continue.

One moment, in particular, stood out: a meeting about attendance.

Dave wanted to discuss strategies, student stories, and impact. His headteacher wanted a number — nothing more.

“What’s the percentage attendance in Year 8?”

Repeatedly, the conversation was reduced to data rather than professional dialogue.

“A number’s arbitrary… what matters is how we improve it.”

This clash reflects a broader issue identified in research: high-stakes accountability systems can shift focus away from meaningful teaching and leadership toward metrics, compliance, and evidence.

For Dave, it wasn’t just disagreement, it was a signal.

“I knew… I couldn’t work for this man anymore.”

Leadership style and professional trust are critical. When teachers feel reduced to data managers rather than educators, dissatisfaction grows.

Research supports this: lack of autonomy, rigid systems, and poor leadership culture are major contributors to teachers leaving the profession. Teachers want to feel trusted, valued, and able to exercise professional judgement.

When that’s missing, even senior leaders walk away.

It’s not just one thing, it’s the accumulation

What both stories make clear, and what the evidence strongly supports, is that teachers rarely leave for a single reason.

It’s not just workload.
It’s not just stress.
It’s not just leadership.

It’s the accumulation.

Consider a typical week:

  • Teaching multiple classes across different year groups.
  • Planning lessons and resources.
  • Marking hundreds of books or assessments.
  • Logging behaviour incidents and following up.
  • Entering and analysing data.
  • Attending meetings and CPD sessions.
  • Communicating with parents.
  • Preparing for inspections or internal reviews.

Now layer on emotional demands: supporting students, managing behaviour, dealing with safeguarding concerns.

Then add accountability pressures and limited recovery time.

The result? A job that routinely stretches into 50–60+ hours per week, spilling into evenings and weekends.

As Craig described, the consequence is not just tiredness, it’s a gradual erosion of capacity, motivation, and wellbeing.

Why teachers stay — until they can’t

One of the most striking points from both Craig and Dave’s stories is that they didn’t leave because they didn’t care. They left because they cared too much to continue as they were.

Craig and Dave both felt “trapped”. Aware that teaching offered:

A stable salary.

A strong pension.

Job security.

Familiarity.

It also required a unique skillset, and how easy was this to transition into other sectors?

These are powerful anchors. For many teachers, they delay the decision to leave, but when the job begins to affect health, relationships, and self-worth, those anchors can start to feel like weights.

So… why do so many teachers leave?

Because the job, as it is currently experienced by many, has drifted away from its core purpose.

Teaching should be about:

Inspiring students.

Explaining ideas.

Building relationships.

Making a difference.

Instead, too often it becomes:

Managing systems.

Producing evidence.

Meeting targets.

Surviving workload.

One thing very clear. Teachers don’t leave because they stop loving teaching. They leave because the conditions make it unsustainable.

A final thought

Both Craig and Dave still work in education. They still visit schools, support teachers, and engage with students. They didn’t leave education — they left the full-time classroom as it had become.

Perhaps that’s the most important reflection of all. If we want to retain great teachers, the question isn’t “Why are they leaving?” It’s “What has changed that made staying so difficult?”

Want to know more? Check out our ‘At the chalk face’ episode on YouTube.

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Helping Teachers Thrive in a Digital World: CAS at the Festival of Computing

27 May 2026

At the heart of the UK’s computing education community sits Computing at School (CAS) — a powerful network of educators, volunteers, and industry experts all working towards one shared goal: to support teachers and inspire the next generation of digital learners. 

As a sponsor at this year’s Craig’n’Dave Festival of Computing, CAS brings with it a wealth of experience, resources, and forward-thinking insight — from tackling the challenges of AI in education to helping teachers build confidence in the classroom. We caught up with the team to learn more about their impact, their mission, and what they’re bringing to the festival this year.

Who is Computing at School (CAS)?

Computing at School (CAS) is dedicated to revolutionising computing education. They are a community of professional practice that forms a nationwide network of computing educators powered by BCS, The Chartered Institute for IT.

At the heart of CAS is a vibrant community of volunteers – teachers, technologists, and advocates – whose passion and generosity continue to inspire. Together they work to ensure that every teacher, from early years through to FE, has the skills and confidence to deliver engaging, inclusive, and effective computing lessons so that every child leaves school equipped to participate in and contribute to a healthy digital society.

Since its inception in 2008, CAS has grown from a grassroots movement into a nationwide force, reaching 90% of UK schools and supporting over 3.5 million pupils. 

Read more about their impact here: BCS education impact report.

What does Computing at School (CAS) offer teachers?

At its core, CAS helps computing teachers develop their professional knowledge and expertise, make connections, and share resources and insights. We deliver this support in two main ways: building the CAS community and providing the resources teachers need.

They offer a range of support for teachers, whether they are computing subject specialists or just starting to get to grips with the computing curriculum.

  • Resource library of teaching and classroom resources that have either been created by CAS or shared by members of our community. Ranging from simple activities through to full lesson plans and schemes of work, as well as ideas and resources for activities outside the classroom.
  • Online communities based around different computing themes and topics, where teachers can share ideas, ask questions and build their confidence.
  • Webinars on different topics, highlighting key themes and developments relevant to teaching computing.
  • Local and regional communities focusing on key topics relevant to the local area. Many regions also organise face-to-face events.

For EYFS and Primary teachers, they also have Barefoot, which provides lesson plans, CPD for teachers and live lessons for multiple age groups. Barefoot resources and support are designed especially for teachers with no computing background to help them confidently teach the computing curriculum and also provide ways to integrate it across other subjects.

The Challenges CAS is Addressing

The challenges all teachers face are improving student outcomes and managing their own growing workloads. In addition, the growing impact of AI in and on education is a challenge all teachers (not just computing teachers) face. 

We know that it’s critical that schools engage with AI proactively to ensure it benefits staff and students alike, yet recent survey by BCS of 5,298 secondary school teachers from 2,600 schools in the UK identified that limited progress is being made. It also revealed that there are real concerns over the lack of practical support for its safe and effective use.

CAS has created dedicated sections of their website to provide support to teachers and is working on some exciting developments that we hope to be able to share at this year’s Festival of Computing. 

The information and support CAS provide around AI isn’t just about helping teachers teach the subject; it’s also about how they can use it effectively themselves to reduce their own workload.

They understand that they can’t solve the challenges teachers face on their own, that’s why they work with their extended network and other organisations to develop, curate and share resources, CPD, events and more to help teachers face these challenges with greater confidence. 

An exciting example of this is the new AI Confidence modules created by BCS, The Chartered of IT has also created AI Confidence in partnership with The Hg Foundation, Microsoft Elevate and Cognizant. The CAS team and community have been involved in developing these modules to ensure they meet the needs of those working in education. 

New Developments in AI Support for Teachers

AI continues to rapidly reshape education, creating both exciting opportunities and new challenges for teachers. CAS and BCS are working together to ensure educators are supported with practical tools and confidence to navigate this change.

“AI is opening exciting opportunities for educators. While 57% of teachers believe AI will play a bigger role in education in the future, only 9% of UK teachers currently feel confident teaching AI. This means there’s huge potential for growth – and with the right support, every educator can build the confidence to lead in this space. 

In May this year BCS, the Chartered Institute for IT launched AI Confidence, a new series of free online CPD designed specially for school staff in partnership with The Hg Foundation, Microsoft Elevate and Cognizant. 

No prior experience is needed, and each module is packed with practical, real-life examples that make AI accessible and relevant. Each AI Confidence module focuses on a specific application of AI in education, tailored to different roles. For example, Exploring AI in the World of Work inspires Careers Leads and Advisers with fresh ideas, while Supporting Inclusion with AI gives practical strategies to transform learning experiences for learners with diverse needs.” Katy Clark, Community Engagement Manager

Find out more about AI Confidence HERE.

CAS and the Craig’n’Dave Festival of Computing

As a key event in the computing education calendar, the Craig’n’Dave Festival of Computing brings together teachers, experts, and organisations passionate about the subject. For CAS, it’s a natural fit — and an opportunity to connect, collaborate, and support the wider teaching community.

“The Festival of Computing is one of the key conferences for computing teachers, so we felt that as the subject association for computing, and a community of professional practice that forms a nationwide network of computing educators, we have to be there. As well as catching up with existing CAS members, we’re also hoping to introduce more teachers to the free support and resources we offer.

Craig n Dave have also been really big supporters of CAS and we’re delighted to support their work in return. We’re both working to support teachers and their students, so it makes sense to collaborate where we can.” – Katy Clark, Community Engagement Manager

What can people expect to see from CAS at this year’s festival? 

This year at the Festival of Computing, CAS is delivering hands-on CPD sessions designed to support teachers through curriculum change and the rise of AI in education.

“Our Secondary Subject Lead, Becci Peters, will be co-hosting a CPD session around the new Computing GCSE, exploring how to design a purposeful, coherent KS3 curriculum that is rigorous, engaging, and justifiable during this time of change. 

Becci is also speaking at the OCR Fringe Event (3.50pm) about AI Confidence, a series of free online CPD modules designed specifically for school staff by BCS, The Chartered Institute for IT to help all teachers and school staff become more confident in AI, even (or particularly!) if they’ve previously avoided it.” Katy Clark, Community Engagement Manager

You can check out the Festivals CPD sessions HERE.

 

“Sharing resources, encouraging discussions, members helping and inspiring each other, and connecting through community events is what CAS is all about. For us, it’s really important that we stay closely connected to the computing teaching community and the FoC is a key way to do that.” – Katy Clark, Community Engagement Manager

 

Want to know more about CAS? Check out their website HERE 

Teachers can join Computing at School for free HERE. As a member of the CAS community, they can access all of the resources and also sign up for online and in-person events.

At CAS, we’re here to support all teachers with an interest in computing education, across all education phases and levels of experience. CAS is a community of friendly, knowledgeable teachers and subject experts always willing to share their expertise with others.” – Katy Clark, Community Engagement Manager

 

Don’t miss it

Wednesday, 1st July 2026 – Festival of Computing, at Bromsgrive School.

It is going to be a packed day full of innovation, inspiration and one of this year’s sponsors. A huge thank you to Katy Clark from CAS for chatting to us!  If you want to know more about CAS, check out their website.

Want to know more about this year’s Festival of Computing or the CPD sessions available? Click HERE.

If you’re attending the Festival of Computing this year, make sure you visit CAS in the marketplace and attend their CPD sessions.

Still need tickets? Get yours HERE

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. 

See you there!

 

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