What Does “AI Across the Curriculum” Actually Mean?
Artificial Intelligence (AI) is no longer just the stuff of science fiction or specialist tech labs. It is now a major part of our daily lives, integrated into homes in formats such as smart speakers, personalised recommendations, traffic navigation systems and even grammar checkers when typing blogs!
In education, conversations around AI often focus on computer science lessons, reducing teacher workload, saving time or specialist clubs, but what does it mean when we talk about “AI across the curriculum”? I am a fan of looking at how tech is appearing in every subject area across the curriculum and how learners can gain a rich understanding of AI without it being taught as a standalone subject?
This approach helps pupils develop an intuitive understanding of how AI works, how it affects the world around them and how they might engage with it in their futures.
AI does not necessarily have to be introduced as a formal topic, especially if there isn’t a specialist teacher available, also specialist time can be used for a deep dive into the subject, whereas AI across the curriculum, means that pupils can experience aspects of AI through everyday learning. Over time, pupil begin to notice patterns, draw comparisons and develop an awareness of both the power and limitations of AI – all without needing a deep technical explanation.
In this blog I offer a way of looking at how AI can be naturally embedded in various subjects, thus allowing pupils to connect the dots as they move from one lesson to another, the examples I am going to use are for a primary-aged child (around 7 years old) and a key stage 3 pupil (around 14 years old).
Examples of AI Integration Across Subjects (Ages 7 and 14)
Here are five subjects areas with example activities or experiences where AI themes might appear:
Subject | Age 7 (Primary School) | Age 14 (Secondary School) |
Computer Science | Create a basic chatbot tool using Scratch extensions to make a character respond differently based on what a user types. | Investigate ethical considerations in AI, like how facial recognition software might misidentify people from different ethnic backgrounds. |
English/Literacy | Discuss a story where a robot makes decisions and discuss whether those decisions were “good” or “bad”. | Compare persuasive writing created by an AI writing assistant and comparing it with human-written work. |
Geography | Explore how a sat-nav system helps people find the fastest route to school and discuss how it might “learn” traffic patterns. | Analyse how AI is used in climate prediction and weather modelling using satellite data. |
Art | Create drawings and comparing them with AI-generated artwork using tools like those built into software like Canva or Adobe | Debate on whether AI can be considered “creative” by reviewing AI-generated portraits or music videos. |
Maths | Play a game where a computer guesses a number based on past answers – similar to how AI makes predictions. | Explore how algorithms classify data and practising this with sets of numbers or shapes to understand how machines learn patterns. |
Physical Education (PE) | Use a fitness app that gives feedback on movements and suggests improvements | Investigate how AI is used in sports analytics to enhance performance and prevent injury. |
How Understanding Builds Over Time
Across a school day, a pupil may then build understanding of AI as follows, without an “AI lesson” being explicitly taught, however they should be made aware that they are using and or interacting with AI, relevant vocabulary should also be used to aid understanding.
Subject | Age 7 (Primary School) | Age 14 (Secondary School) |
Computer Science | Learns to make a sprite respond to simple commands and sees how machines follow rules. | Discusses the impact of algorithms and bias in AI tools. |
English | Reads a story about a robot and talks about its “feelings”. (for titles visit the charity Technology Books for Children) | Compares AI-generated writing to student essays. |
Geography | Uses an online sat-nav to explore routes and realises it “knows” where traffic is. | Evaluates AI’s role in mapping climate risks. |
Art | Uses an AI art tool to create a picture and chooses their favourite result. | Discusses whether AI-generated art can win competitions. |
Maths | Plays a number-guessing game and realises the computer “gets better” the more it plays. | Learns how data is used in machine learning and classifies datasets manually. |
Tutor Time/Silent Reading | Reads a book with a tech theme, (for titles visit the charity Technology Books for Children) | Reads books with tech themes that also feature tech careers, (for titles visit the charity Technology Books for Children) |
Physical Education (PE) | Tries an activity from a fitness app and notices how it gives feedback based on how they move. | Reflects on how performance data is used by AI to personalise training plans or prevent injuries. |
Across the school day, the 7-year-old has a basic grasp of decision-making, pattern recognition and interactivity, while the 14-year-old begins to look at complexity in relation to bias, ethics, automation, human-AI collaboration including how AI supports personalised performance in sport.
Why This Matters
Leading in a school and looking at “AI across the curriculum” builds digital literacy, critical thinking, and ethical awareness, for staff and pupils. For younger pupils it plants seeds of curiosity and helps them to see AI as part of everyday life. For older pupils, it lays the foundation for informed engagement with technology, not just as users but potentially as creators and future leaders and for teachers it offers a professional growth opportunity to deepen subject knowledge, develop interdisciplinary teaching approaches and to empower pupils to navigate a rapidly changing digital world with confidence.
My final thought
You do not need to be an AI expert to help pupils understand artificial intelligence. A cross-curricular approach makes it accessible, age-appropriate and relevant, this approach encourages questions, builds confidence and empowers young people to see their role in a future shaped by technology.
I also recommend you read the most recent OFSTED guidance, regarding how OFSTED looks at AI during insprection and regulation.
Ready to bring AI into your curriculum?
Hi, I am Beverly Clarke MBE, in my teaching career, I have led on IT across the Curriculum, I am passionate about seeing tech embedded across and within schools. Here are some examples of my AI specific work:
- Member of the UK Government Digital, AI and Technology Task and Finish Group
- Resource writer for K–12 AI curricula
- Speaker on AI in education at conferences
- Given evidence at the All Party Parliamentary group on Artificial Intelligence
- Guest writer for ITN Business
I work at the intersection of industry and education, helping organisations and educators make sense of emerging technologies.
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- If you are looking for a knowledgeable curriculum developer, panellist, guest writer or speaker to bring fresh insights on AI, digital literacy and cross-curricular education, I would love to hear from you.
look around my website to explore my portfolio career and get in touch to discuss how we can work together.