Why hands-on science matters even more in the age of AI

AI tools can now explain photosynthesis, solve physics problems and summarise research in seconds. Some people ask whether learners still need to do experiments at all. We think the answer is the opposite: practical science matters more than ever.

Knowing versus finding out

AI is very good at repeating what is already known. Science is about finding out what is true, through observation and experiment. Learners who only receive answers never learn how answers are discovered.

Evidence is the antidote to misinformation

Learners will meet confident claims online every day, some true and many false. People who have collected their own data, and seen how easily a careless measurement misleads, are better at judging claims.

The skills AI cannot practise for you

• choosing what to measure and what to keep the same;
• handling equipment and reading instruments;
• noticing something unexpected;
• deciding whether results support an idea.

Combining AI and experiments

A powerful lesson pattern is: ask an AI to predict the result of an experiment, run the experiment in a virtual lab, then decide whether the AI was right and why. Learners use AI and learn to question it at the same time.

What it means for schools

Schools should protect time for practical work, even as they introduce AI. Virtual labs make that practical work possible for every learner, and real spaces like our IoT Lab in Nairobi add experience with physical devices.

The bottom line

In an AI world, the people who can design a test and read the evidence will be the ones who lead.

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