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The biggest curriculum shake-up in a decade – PART 2

What the CAR review means for teachers

21 November 2025

Welcome back to the next instalment of our deep-dive into the Curriculum and Assessment Review (CAR). Part one explored broad curriculum design and assessment reform; part two gets straight to the good stuff: What the upcoming changes actually mean for computing teachers.

This new review is a hefty read. Fortunately, this series breaks it all down so you don’t have to! Here’s what matters most for computing.

Computing time is shrinking – and that’s a problem

One of the standout concerns raised in the CAR is the reduction in curriculum time:

  • Key Stage 3 has dropped from 4% to 3%.
  • Key Stage 4 has dropped from 5% to 2%.

Schools increasingly push computing into carousels, shortened timetables, or — at Key Stage 4 — only offer it to GCSE Computer Science students. Shockingly, only 10% of schools surveyed teach computing to all KS4 students, despite it being a foundation subject.

The review makes it crystal clear: every pupil should study computing until age 16, just like PE, RS and citizenship.

GCSE Computer Science is being replaced

This news has caused quite a stir: the current GCSE Computer Science will be replaced by a broader, more balanced GCSE in Computing.

But why?

  • The existing qualification is “too narrow and specialised”.
  • Students score lower in Computer Science than in almost all other subjects.
  • The gender gap hasn’t improved despite years of initiatives.

The good news: the government has confirmed that core computer science principles — including programming and algorithms — will remain. They just won’t stand alone as a full qualification anymore.

Expect a GCSE that blends computer science, IT, digital literacy, real-world applications, and modern computing concepts.

Computing won’t sit alone anymore – subjects will intertwine

The new curriculum will be the most holistic version yet. Skills will overlap between subjects, and computing will act as an engine powering others, such as maths, DT, geography, and citizenship.

The programme of study will be machine-readable and interactive, showing explicit links across subjects. Think Google Earth in geography, algorithms discussed in English when analysing bias, or spreadsheet skills needed for financial literacy.

Digital literacy and AI: Now national priorities

Two major themes run across the whole review:

Digital literacy

Defined by the government as the knowledge, behaviours, and confidence needed to use technology safely and critically. This includes:

  • online safety
  • digital footprints
  • cyber security
  • fake news and bias
  • navigating modern interfaces
  • basic operational skills, many pupils no longer have

Schools must offer explicit digital education across all key stages.

AI literacy

AI will feature throughout the curriculum, but computing is its “home”. Students will learn:

  • how AI works
  • its limitations
  • ethical implications
  • how to use and question it

Given that students already use AI outside school, this is a long-overdue update.

So what next?

The CAR review sets the stage for the biggest shift in computing education in a decade. From a rebalanced curriculum to the arrival of a new GCSE, the coming years will reshape what — and how — we teach.

For now, the key message is simple: computing is becoming broader, more relevant, and more cross-curricular than ever before.

Download our Curriculum and Assessment Review summary HERE- Curriculum and Assessment Review Summary.

 

📺 Watch our breakdown here as we talk through the key findings in our signature chalk face style.


🌐 Explore more resources, guides and updates on the Craig’n’Dave website — your home for high-quality computing education support.

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High expectations from the first minute

7 November 2025

In Computing, every minute counts. Setting high expectations isn’t about demanding work or creating unnecessary pressure—it’s about clarity. It means knowing exactly what you want from your students and using simple, consistent techniques to achieve it. The most effective teachers don’t leave the first few minutes of a lesson to chance. They use this time purposefully to establish routines, reinforce learning, and create a calm, focused atmosphere where students know what to do and why it matters. Here’s how you can make the beginning of every lesson count.

1. Meet and greet: the power of the doorway

The moment students arrive is your first opportunity to assert calm authority. Greet students at the door with their name, a smile and a clear expectation for how they should enter the room. This bottleneck puts you in control. Don’t allow students to just pile into the room. An orderly entry sets the tone for the rest of the lesson. Don’t hesitate to stop students from entering if they are being disruptive—this reinforces that your classroom is a place of focus and respect.

Tip: Use positive reinforcement for students who enter appropriately and calmly redirect those who don’t to leave and enter again.

2. Engagement on entry: establishing a routine

Idle time is the enemy of learning. Students should know exactly what to do the moment they walk in. Whether you call it a starter, do-now activity, or engagement on entry, the key is consistency. This routine builds a culture of focus and reduces wasted time.

Tip: “What are we doing?” should never be a question in your classroom.

3. Combat the forgetting curve with recall activities

The start of the lesson is the perfect time for retrieval practice. A well-designed recall activity helps students strengthen their memory and make connections with prior learning. However, avoid tasks with a fixed end point—some students will finish early and become disengaged.

Tip: Provide more work than there is time to complete.

4. Why Smart Revise Quiz is the perfect solution

For GCSE and A-level students, Smart Revise Quiz is a powerful tool. Its dynamic, never-ending loop of low-stakes multiple-choice questions ensures that students are always engaged. The platform uses intelligent algorithms for spacing, interleaving, and personalisation, targeting each student’s weaker areas and adapting the question order accordingly.

Tip: With Smart Revise no student finishes early and no student is left behind.

5. Preparing for the lesson ahead

Alternatively, use the start of the lesson to prime students for what’s to come. At A-level, Craig’n’Dave micro-activities are excellent for this purpose. At GCSE, every lesson includes a starter that aligns with the learning objectives, helping students transition into the right mindset.

Tip: If you use Smart Revise, it is best to stick to the routine. You can also use starter activities at any point in the lesson as class discussions or plenaries instead.

6. Inclusive and accessible activity

The 2025 Ofsted framework places a stronger emphasis on inclusion and equity. This means ensuring that all students, including those with SEND or from disadvantaged backgrounds, can access and engage with the starter activity. That’s why a low-stakes, low-barrier to entry activity is better for the start of the lesson. Inspectors will be looking for how well teachers identify and reduce barriers to learning. It is important that inclusive practices are embedded in everyday routines.

Tip: Too much challenge too soon can turn off students before they even begin.

7. Why seven minutes matters

The duration of your starter activity sends a message. Five minutes can feel rushed and unimportant. Ten minutes may seem arbitrary. But seven minutes? It feels intentional. It’s long enough to be meaningful, short enough to maintain momentum.

Tip: Odd numbers feel deliberate. Use them to your advantage.

8. Transitioning into the lesson

Once the initial activity is complete, have a clear, recognisable signal to begin the main lesson. This could be a phrase, a countdown, or a visual cue. The goal is for students to respond quickly and without repeated prompting.

Consistency breeds compliance. Familiar cues reduce friction.

9. Use consistent language and positive signals

High expectations are not just about what you do—they’re also about what you say and how you say it. The language you use in the classroom communicates your belief in students’ potential and shapes the culture of learning. When you speak with clarity, purpose, and positivity, you signal to students that they are capable, that their time matters, and that learning is serious business. Use consistent, positive phrasing that reinforces routines and expectations. For example, instead of saying, “Stop messing around,” try, “Show me you’re ready to learn.” Non-verbal cues are equally powerful. A raised hand, a countdown, or a visual timer can become familiar signals that prompt immediate responses without the need for repeated instructions.

Tip: Play the long game. Over time, these cues become part of the classroom rhythm, reducing the need for correction and increasing student autonomy.

10. Eliminate distractions before you begin

Before students enter the room do a quick sweep. Clear up any loose pens, paper and rubbish. Ensure the computers are turned on and ready for a student to log on. If there are technical difficulties the engagement on entry activity gives everyone else something to be working on while you diagnose the problem. Before diving into new content, ensure you have every student’s full attention. Techniques include gathering students at the front of the room, using screen-locking software to prevent off-task behaviour and waiting silently until you have 100% focus.

Tip: Own the room before you teach. Never compete with distractionsdon’t talk if a student is talking, wait for perfect silence.

Final thoughts: routines build culture

High expectations aren’t about being strict—they’re about being consistent. When students know what to expect and what’s expected of them, they feel secure and ready to learn. The start of the lesson is your opportunity to build that culture, every single time.

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A new year and another new initiative

1 September 2025

The concept of learning styles—the idea that individuals learn better when taught in their preferred sensory modality (e.g., visual, auditory, kinesthetic)—has been widely popular in education. However, despite its appeal, the theory has been largely debunked by empirical research. Here’s a breakdown of the origins, popularity, and scientific critique: 

 Origins and Popularity 

  • Early Theories: The idea of learning styles can be traced back to educational psychology in the 20th century. One of the most influential models was the VARK model (Visual, Auditory, Reading/Writing, Kinesthetic), developed by Neil Fleming in the 1990s. 
  • Appeal: It resonated with educators and learners because it emphasised personalisation and seemed intuitive—people often feel they have a preferred way of learning. 

Scientific Research and Debunking 

  • Key Issue: The central claim is that matching teaching styles to a student’s preferred learning style improves learning outcomes. This is known as the “meshing hypothesis.” 
  • Major Review: In 2008, a comprehensive review by Pashler et al. in Psychological Science in the Public Interest concluded that:  There is no adequate evidence base to justify incorporating learning styles assessments into general educational practice.” 

Findings

  • Studies that properly tested the meshing hypothesis (i.e., using randomised controlled trials and measuring actual learning outcomes) did not find support for it. 
  • People may have preferences, but teaching to those preferences does not improve learning
  • Content matters more: The best modality often depends on the subject matter (e.g., diagrams for geometry, audio for music), not the learner. 

What Actually Works 

  • Cognitive science supports strategies like: 
  • Spaced repetition 
  • Retrieval practice 
  • Interleaving (mixing different topics or skills) 
  • Dual coding (combining words and visuals) 
  • These methods are evidence-based and improve learning across the board, regardless of “style.” 

Why It Still Persists 

  • Confirmation bias: People remember when their preferred style seemed to help. 
  • Commercial interests: Many companies sell learning style assessments and training. 
  • Intuitive appeal: It feels personalised and empowering, even if it’s not effective. 

Want to know more? Watch the full video on our YouTube channel – At the chalk face.

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What is AI?

AI: Just fast maths pretending to be smart

12 August 2025

AI. It’s a term that gets thrown around everywhere—from science fiction films to social media posts and school corridors. But what actually is artificial intelligence, and why is it so important to understand?

At its core, AI doesn’t actually think—it just predicts. It’s essentially super-fast maths, rapidly analysing patterns to guess what should come next in a sequence. Imagine that friend who always finishes your sentences… except AI does it with slightly better accuracy.

How do transformers power AI?

No, we’re not talking about giant robots (although that would be cool). In AI, transformers are a type of deep learning model that helps machines generate human-like text. Here’s how they do it:

  • Word magic: AI doesn’t see words—it sees numbers. It converts text into numerical values that represent meaning. Kind of like the Matrix, but without the leather trench coats.
  • Attention, please! Transformers scan every word in a sentence and decide which ones are important. It’s a bit like pretending to listen in a meeting but only perking up when you hear “free snacks.”
  • Prediction time: AI makes an educated guess about the next word, refines it, and repeats the process until the sentence sounds human. The result? AI-generated essays, jokes, and sometimes suspiciously accurate emails.

How does AI learn??

Behind the scenes, AI is powered by huge datasets and clever algorithms. These systems “learn” patterns from data, meaning they can improve their performance over time without being explicitly programmed to do so. This process is called machine learning, and it’s how many of today’s most exciting AI tools work.

AI and you

AI is already influencing your daily life, whether you realise it or not. It shapes the content you see online, helps doctors spot diseases faster, supports businesses with automation, and could even play a role in your future career. Understanding how it works is more than just useful—it’s essential.

Why AI isn’t taking over (yet)

Despite its clever tricks, AI isn’t sentient—it’s just playing a game of supercharged fill-in-the-blank. While it’s brilliant for generating text and answering questions, it still lacks genuine understanding or creativity. So, would you trust it to run the world? probably not. But to help you write a convincing email? absolutely.

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Getting maximum value from Smart Revise with Year 11

15 April 2025

Exams are only a few months away and what your students do now is going to make the biggest impact to their results in August. It almost doesn’t matter what their work ethic has been like up until now, there is still time for all students to achieve their potential if they engage in regular active revision using the best techniques from today. 

Once you have delivered all the course content switch the topic filters to “Student controlled” in Smart Revise. Make sure you have Quiz, Terms reflective, Terms interactive and Advance modes enabled in the class settings. This will allow the students to take charge of what to revise, when and how. 

Top tips for students 

  • Use the Summary report to know the topics that are your strengths and weaknesses. 
  • Click on a Quiz pie chart in the summary report to do multiple-choice questions only on weaker topics. 
  • Look at the Top 10 revision references at the bottom of the summary report.
    These are your specific weaknesses across the whole course. You can watch the Craig’n’Dave videos if that helps but beware of passive revision. 
  • Click on a Terms pie chart in the summary report and filter the cards you want to focus on: sad, neutral, happy, unanswered. Reflective is a passive reflection. Interactive is more challenging but is essential. You should be able to define terms at this stage of the course. Use reflective as a reminder and interactive when you are revising. 
  • Click on an Advance pie chart in the summary report to see exam-style questions. Use the next button to find a question you want to attempt. Start with the low mark questions first and work up. Pretend you are in a real exam. Set an alarm on your phone for the number of marks the question is worth and spend that amount of time answering the question. 
  • Use the built-in mark schemes to mark your answer and be realistic. It doesn’t matter if you get low marks when you are practicing. 
  • If you don’t get full marks, note the question number. Have another go at the same question a few days later to see if you can improve your answer. Use the “last answer” button to see your most recent answer. 
  • Start with low mark questions, but don’t avoid the high mark Advance questions forever. You will get lots of 1–6-mark questions in your exam and one 8-mark question in each paper. 
  • Just because you know something this week doesn’t mean you will remember it next week so don’t neglect the topics you have mostly green on the pie charts in the summary report. Checking you still have the understanding is important. 
  • Start Terms – Leitner mode is good for daily reminders of terminology once you have mostly green or yellow pie charts in most of the topics on your summary report. Remember to set the topic filters to the whole course before using Leitner mode.
     

Beyond Smart Revise 

Although Smart Revise is great, it is important to provide students with real past papers so they can practice writing on lines with a pen too! Some papers will be publicly available on exam board websites, but others will require logging in to their portals to be downloaded. 

We often assume students will just “know” how to revise without being explicitly taught how to. This is a mistake. Show students the technique of mind mapping and build a mind map for a topic with them, maybe using the Terms in Smart Revise for reference. Smart Revise compliments this tried and tested approach, it does not replace it. 

One technique we developed with our students is the “what why web” (see what we did there) which is a scaffolded approach to making a mind map. Write the concept in the middle and then on a second branch state what words are associated with the concept, and on a third branch state why it is necessary, any implications and examples. 

For example, the concept of registers for OCR J277 might look like this: 

As Dunlosky showed, the worst revision students can do is reading their notes, looking over classwork and watching videos because these are passive techniques. Knowledge organisers and revision guides are useful, but they should only be used as a reference guide to check understanding, in themselves they are not revision.

By the way, put those highlighter pens away because research has shown that highlighting notes is worthless!

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