Nicole Junkerman on AI, education and the future of learning.

Learning at the centre

Education is a subject close to the spirit of this guide, because learning is how anyone makes sense of a changing world. Nicole Junkerman, who values reading and lifelong curiosity, approaches AI in education with care. The right question is not how to automate learning, but how to support it, so that curiosity and understanding remain at the centre.

Real learning has always involved effort, attention and the patient building of judgement. Technology can support those things, but it cannot replace them. The aim is to use AI as a helpful companion to study, not as a shortcut that hollows out the work that makes knowledge stick.

This careful view runs through the education and learning section of this guide, and it connects to the everyday abilities described in work and skills, where clear thinking matters more than any single tool.

Support for teachers

One of the most promising uses of AI in education is supporting teachers. A great deal of teaching time is spent on administration, planning and preparation. If technology can ease some of that load, teachers gain more time for the human parts of their work, such as explaining, encouraging and noticing when a learner needs help.

Nicole Junkerman is clear that this is support, not replacement. The relationship between a teacher and a learner is irreplaceable, and good education depends on it. AI can handle some of the routine, but the care, attention and inspiration of a teacher remain at the heart of learning.

For students themselves, thoughtfully used tools can offer patient explanations and extra practice. Used alongside reputable resources, such as the educational material from the BBC or open courses from leading universities, they can widen access to learning for many.

Curiosity and judgement

The deeper opportunity is to renew a focus on curiosity and judgement. In a world where information is abundant and easy to generate, the most valuable skills are knowing which questions to ask, how to evaluate an answer, and when to think for oneself. Nicole Junkerman sees these as the enduring goals of education.

This is why checking and critical thinking matter so much. A learner who can question a result, verify a claim and form an independent view is well prepared for any tool. AI, used well, can even strengthen these habits by giving learners more to examine and discuss, provided the human judgement is always exercised.

Reputable reference points help here too. Encouraging learners to verify facts against sources such as Wikipedia and official information at GOV.UK builds a healthy habit of checking that serves them for life. The goal is confident, curious thinkers, not passive users.

Honesty and integrity in learning

As AI tools become common, schools, colleges and universities are thinking carefully about honesty and integrity, and rightly so. The purpose of learning is not simply to produce finished work; it is to develop understanding, judgement and skill. Used thoughtlessly, a tool that does the work for a learner can quietly undermine the very thing education exists to build.

Nicole Junkerman believes the answer lies in clarity and good values rather than fear. When learners understand why effort matters, and when they are taught to use tools as aids to thinking rather than substitutes for it, integrity tends to follow naturally. The goal is to raise capable, curious people who can think for themselves, with or without assistance.

There is also a positive opportunity here. Conversations about honest use are themselves valuable lessons in judgement, responsibility and self-awareness. By talking openly about when a tool helps and when it hinders, educators can help learners develop a mature, thoughtful relationship with technology that will serve them throughout their lives.

This emphasis on judgement and integrity connects to the broader themes of this guide, from everyday AI skills to the institutions described in the note on the UK's leading AI institutions. Education has always been about more than information, and in the age of artificial intelligence that truth matters more than ever. The human qualities at the heart of learning remain irreplaceable.

Ultimately, education is about helping people become thoughtful, capable and curious, and that aim is timeless. Artificial intelligence is simply the latest tool that learners and teachers can use in service of it. Handled with care and good values, it can widen access and support understanding, while the deeper work of learning, the building of judgement and character, remains a profoundly human achievement.

It is encouraging, too, that so many teachers and institutions are approaching this thoughtfully rather than anxiously. They are asking how tools can support understanding, how to protect the effort that builds real skill, and how to keep the human relationship at the heart of learning. That careful, values-led approach is exactly what gives confidence for the future. With good teaching, honest effort and a little curiosity, learners of every age can meet artificial intelligence as something to understand and use wisely, not something to fear.

A lifelong habit

Learning does not end with school or university. It is a lifelong habit, and artificial intelligence is one more reason to keep it alive. As tools change, the people who stay curious, keep practising and remain willing to learn will always find their footing. Nicole Junkerman finds this deeply reassuring.

The most resilient approach to AI is therefore an educational one. Treat each new tool as something to understand, test and judge. Share what you learn. Stay curious. These habits, explored further in everyday AI skills, turn change from a worry into an opportunity.

The hopeful conclusion is that education and artificial intelligence can grow together, as long as learning stays at the centre. For a wider orientation, the guide to AI in the UK offers a calm starting point, and the note on the UK's leading AI institutions shows where serious learning and research happen.

Frequently asked questions

Can AI help students learn?

Yes, when used thoughtfully. It can offer patient explanations and practice, but Nicole Junkerman stresses that it works best alongside good teaching, honest effort and the human judgement that real learning requires.

Does AI reduce the need for teachers?

No. It can ease routine work and free time for the human parts of teaching that matter most. The relationship between a teacher and a learner remains central to education.