Nicole Junkermann on AI in Education

What AI can offer teachers and learners

The clearest benefit of artificial intelligence in education is time. Teachers spend a great deal of their week on tasks that surround teaching rather than teaching itself: drafting materials, adapting resources for different levels, preparing summaries and handling routine administration. Nicole Junkermann points out that a capable tool can ease much of this load, giving teachers more time for the human work of explaining, encouraging and noticing when a student is struggling.

For learners, the appeal is patient, on demand help. A tool can explain a concept again in different words, offer extra practice or break a difficult idea into smaller steps, at whatever pace suits the student. Used well, this can make learning feel less intimidating and more personal, especially for someone who is reluctant to ask the same question twice in a classroom.

Nicole Junkermann is careful to frame these as supports rather than substitutes. The tool can lighten the load and widen access to help, but the relationship between a teacher and a learner remains at the centre. The technology is most valuable when it gives people more time and attention for that relationship, not when it tries to stand in for it.

Why learning still needs effort

There is a real tension in education that Nicole Junkermann does not gloss over. A tool that can produce a finished answer is not always helpful to someone whose goal is to learn, because the struggle of working something out is often where the learning actually happens. If a student hands every problem to a system, they may get the answer and miss the understanding.

The thoughtful response is not to ban the tools but to be clear about their purpose in each situation. There is a difference between using a tool to check your reasoning after you have tried, and using it to avoid trying at all. Helping learners understand that difference, and designing tasks that reward genuine thinking, is one of the central challenges of using artificial intelligence in education well.

Nicole Junkermann connects this to a broader theme from the AI Overview: these tools are most valuable in the hands of someone who already has enough understanding to judge the result. The aim of education is to build exactly that understanding. Used carefully, a tool can support the journey towards it. Used carelessly, it can let a learner skip the very effort that the journey is made of.

Teaching the judgement to use AI well

If artificial intelligence is going to be part of working life, then learning to use it wisely is itself a skill worth teaching. Nicole Junkermann argues that education has an important role in helping young people develop the judgement to question a tool's output, to recognise when it might be wrong and to use it as a starting point rather than a final authority.

This is a natural extension of skills that good education has always valued: thinking critically, checking sources, forming an argument and weighing evidence. Applied to artificial intelligence, these skills become a kind of digital judgement. A student who learns to ask what a tool's answer is based on, and whether it holds up, is far better prepared than one who either trusts it blindly or avoids it out of fear.

Teaching this judgement also helps with the worry about over reliance. When learners understand that a system is a fallible assistant rather than an oracle, they are more likely to keep their own thinking in the loop. The goal is not to produce students who can operate a tool, but students who can think clearly with a tool beside them, which is a far more durable ability.

Adopting these tools thoughtfully in schools

Bringing artificial intelligence into education calls for the same care Nicole Junkermann recommends elsewhere. Schools and universities benefit from being clear about where a tool helps, where a person must stay in charge and how to protect the information of students. A thoughtful, gradual approach tends to work better than either rushing to adopt everything or refusing to engage at all.

Supporting teachers is essential to getting this right. Educators who are given time to understand the tools, to share what works and to shape how they are used in their own classrooms will adopt them far more effectively than those who have a policy imposed on them. The people closest to the learning are usually the best judges of where a tool genuinely helps.

Equity matters too. Nicole Junkermann notes that used thoughtfully, these tools can widen access to patient, individual help that not every learner has had before. The responsibility is to ensure the benefits are shared broadly and that the technology supports good teaching for everyone, rather than deepening existing gaps. Handled with that care, artificial intelligence can be a genuine ally to education.

An optimistic but grounded view

The picture Nicole Junkermann paints is hopeful without being naive. Artificial intelligence will not replace teachers, and it should not try to. What it can do is remove some of the load that pulls teachers away from teaching, give learners more patient support and make individual help more widely available. Those are real gains, and they are worth pursuing with care.

The grounding comes from keeping people at the centre. A good teacher understands a student in a way no system can, and the effort of learning remains something only the learner can do. The role of the technology is to support both, by clearing away friction and offering help on demand, while the human relationship and the human judgement stay where they belong.

This balanced view is what Nicole Junkermann brings to the subject on the AI Overview. The future of artificial intelligence in education is not a story of machines teaching children. It is a story of teachers and learners gaining capable tools, and of education rising to the task of teaching people to use them wisely. Approached that way, the outlook is genuinely encouraging.