After training sessions, there is often a shared sense of clarity…
“Yes, I can see where Maths and English fit.”
“Yes, I understand why this matters.”
But when it comes to planning the sessions…
“I’m not sure how to turn that into an activity.”
“I don’t know where to start.”
This is not a lack of commitment; it’s a gap between understanding and application.
What Gets in the Way? There are a few common challenges that make contextualising harder than it should be:
Seeing opportunities isn’t always the problem; using them is.
Educators identify where Maths and English appear within their subject, but do they confidently transform them into meaningful learning opportunities?
This requires:
- the right questions
- the right level of challenge
- and the confidence to bring it into teaching without disrupting flow.
That’s where things can stall.
Planning time is already stretched
Even where there is confidence, there is rarely spare time to redesign sessions.
Contextualising can start to feel like:
- an “extra” task
- something to do later
- or something that depends on individual effort rather than a shared approach
This leads to inconsistency across teams and programmes.
Confidence varies more than you would expect
Are maths and English still seen as specialist areas or separate responsibilities?
If the answer is yes… this can lead to hesitation:
“Am I explaining this correctly?”
“Is this at the right level?”
When confidence is low, opportunities are often missed.
Activities don’t always feel authentic
Learners quickly recognise when something feels forced
If contextualised activities don’t reflect:
- real workplace tasks
- realistic scenarios
- or meaningful application
…then engagement drops — even when the intention is strong.
What Might Help Make Contextualising Maths and English Easier? If contextualising isn’t the issue in theory, the question becomes: How do we make it easier to do well, more consistently, in everyday practice?
This is where many educators are starting to explore the role of AI.
Not as a shortcut or a replacement, but as a thinking partner.
Used well, AI can help educators to:
- generate realistic workplace scenarios
- quickly create contextualised questions and activities
- adapt content for different levels
- and explore alternative ways of explaining concepts
In other words, it can help bridge the gap between “I know what I should be doing” and “I can actually plan this effectively.”
A Shift in How We Think About Contextualising
Contextualising isn’t about adding something new. It’s about making visible what is already there and bringing them into learning in a way that feels natural, purposeful and accessible.
Moving From Understanding to Practice
The next step is not more theory, it’s:
- seeing examples
- trying approaches in a safe space
- and developing confidence through practice
Because ultimately, the goal isn’t just to understand contextualising… It’s to be able to do it consistently, confidently and in a way that works for learners.
Advanced Contextualising Webinar: Using AI to Design Meaningful Maths and English Learning
This interactive webinar focuses on using AI with intent and analysing the results to ensure accuracy and impact – Design contextualised opportunities quickly and confidently using AI and structured planning.
Through practical examples, collaboration and live demos, you will:
- revisit key principles of contextualisation
- explore how AI supports curriculum planning
- identify maths and English in vocational programmes
- generate activities using structured prompts
- strengthen links between intent, implementation and impact
- use AI to support planning, questioning and engagement
We’ll show how AI can help you spot maths and English in vocational delivery and create activities that build apprentice confidence. It won’t replace your judgement — it supports it.
Find out more and book your place here.