Artificial intelligence is becoming increasingly visible across education, from lesson planning tools and automated assessment to personalised learning platforms and digital teaching resources.
For schools, the important question is not simply whether AI will become part of education. It is how it can be used in a way that genuinely supports teachers and pupils.
When used carefully, AI in education has the potential to make teaching resources more flexible, responsive and efficient. However, technology should support professional judgement rather than replace it.
So, what role could AI play in the future of teaching resources?
1. Helping Teachers Find Relevant Resources More Quickly
One of the biggest challenges teachers face is not necessarily a lack of resources.
It is finding the right resource quickly.
Searching across websites, shared drives and online platforms can take valuable planning time, particularly when teachers need something suitable for a specific:
- subject;
- key stage;
- topic;
- ability level;
- lesson objective; or
- type of activity.
AI-powered search and recommendation systems could make this process much more efficient.
Instead of browsing through dozens of unrelated worksheets, teachers could be shown resources that are more closely matched to what they are teaching.
This could allow teachers to spend less time searching and more time adapting resources for their pupils.
2. Supporting Resource Adaptation
No teaching resource will be perfect for every class.
A worksheet that works well with one Year 8 group may need additional scaffolding for another.
AI could help teachers adapt resources more quickly.
For example, a digital resource could potentially be adjusted to:
- simplify instructions;
- provide additional examples;
- create extension questions;
- generate key-word support;
- alter the level of challenge;
- suggest retrieval questions; or
- produce alternative versions of an activity.
The teacher would still decide whether those adaptations are appropriate.
The benefit is reducing the amount of repetitive editing required to create different versions of similar material.
3. Creating More Personalised Learning Experiences
One of the most discussed possibilities for AI in education is personalised learning.
Pupils do not all understand content at the same pace.
Some may be ready for a greater challenge while others need more practice before moving on.
Digital learning platforms can already use pupil responses to identify areas of strength and weakness.
AI could allow this to develop further.
For example, if a pupil repeatedly struggles with questions about river processes, a platform could recommend additional practice in that area.
Another pupil who demonstrates strong understanding might receive more challenging questions.
This could make digital teaching resources more responsive to individual learning needs.
4. Improving Digital Assessment
Assessment provides teachers with valuable information, but routine marking can also contribute significantly to workload.
AI and automated systems can support assessment by handling some types of questions automatically.
This can be particularly useful for:
- multiple-choice questions;
- vocabulary activities;
- retrieval quizzes;
- factual knowledge checks; and
- short activities with clearly defined answers.
Automated assessment does not remove the need for teacher feedback.
Extended writing, explanations and complex responses still require professional judgement.
However, reducing repetitive marking can allow teachers to focus their time on work where detailed feedback has the greatest value.
5. Identifying Gaps in Knowledge
Digital learning tools can collect information about the questions pupils answer correctly and incorrectly.
AI could help turn this information into something more useful.
Rather than simply showing a score, a system could identify patterns.
For example:
The class understands coastal erosion but is struggling with coastal transportation.
Or:
Several pupils are repeatedly confusing weathering and erosion.
This kind of information could help teachers decide what needs revisiting.
It could also make assessment more useful as a planning tool.
6. Supporting Retrieval and Revision
AI could also help make revision resources more responsive.
Instead of every pupil completing exactly the same set of questions, digital resources could adapt based on previous performance.
A pupil might receive more questions on areas they have previously struggled with while still revisiting topics they already know.
This could make retrieval practice more targeted.
For GCSE pupils in particular, this could help focus revision time on areas where it is most needed.
7. Reducing Repetitive Teacher Workload
AI is often discussed in terms of creating new content.
However, one of its most useful roles may simply be reducing repetitive tasks.
Technology could support teachers with:
- finding resources;
- organising activities;
- generating question variations;
- marking straightforward answers;
- identifying common misconceptions;
- creating revision tasks; and
- adapting existing materials.
None of these tasks replace teaching.
Instead, they could reduce the amount of administrative and repetitive work surrounding it.
For schools considering new technology, this is an important distinction.
The question should not be:
“Can AI do this?”
It should be:
“Does using AI here make teaching or learning better?”
8. Supporting Rather Than Replacing Teachers
AI can process information quickly, but it does not understand a class in the way a teacher does.
Teachers know:
- which pupils need encouragement;
- when an explanation has not landed;
- when to change the pace of a lesson;
- how pupils interact with each other;
- what motivates individual learners; and
- when a resource needs to be adapted.
Professional judgement remains essential.
The most useful educational technology will therefore be technology that helps teachers make decisions rather than trying to make those decisions for them.
9. The Importance of Quality Control
AI-generated educational content still needs to be checked.
Any teaching material used in a classroom should be:
- factually accurate;
- appropriate for the curriculum;
- suitable for the age group;
- clearly written; and
- relevant to the intended learning objective.
AI can produce information quickly, but speed should never replace quality.
Schools and teachers should remain cautious about relying on automatically generated resources without reviewing them first.
The future of AI teaching resources will therefore need to combine technological efficiency with appropriate human oversight.
10. Creating Better Teaching Resource Platforms
The biggest impact of AI may not come from standalone tools.
Instead, AI could become part of the teaching resource platforms teachers already use.
A future resource platform might help a teacher:
- Find a resource for a specific topic.
- Adapt it for a particular class.
- Assign it digitally.
- Mark suitable questions automatically.
- Identify areas pupils struggled with.
- Recommend the next activity.
When these features work together, technology becomes less about adding another tool and more about making existing teaching processes simpler.
What Does the Future of AI in Education Look Like?
AI is unlikely to replace high-quality teaching resources or professional teaching expertise.
Instead, its most valuable role may be helping teachers use resources more effectively.
The future of educational technology should focus on reducing unnecessary workload, improving access to useful information and giving teachers better tools to support pupils.
At Teachily, we believe technology should be developed around the needs of schools and teachers.
Our growing teaching resource platform combines curriculum-focused resources with digital features designed to make finding, delivering and assessing learning simpler.
As educational technology continues to develop, our aim is simple:
Use technology to support teachers — not replace them.
Explore teaching resources and digital learning tools at Teachily.co.uk.
