Personalised learning is becoming an increasingly important focus for schools, with artificial intelligence, adaptive learning platforms and real-time student data increasingly being presented as tools to tailor education to individual needs.

However, technology alone cannot deliver personalised education. The role of teachers remains central to understanding students, interpreting learning data and deciding how teaching should adapt.

Schools are investing heavily in digital devices, AI tutors and platforms designed to identify learning gaps. But without adequately trained teachers, these technologies may produce information without necessarily improving classroom outcomes.

A teacher can use technology-generated insights to identify where a student is struggling, understand the reasons behind those difficulties and choose an appropriate teaching approach. Human interaction also allows teachers to consider factors that technology may not fully capture, including motivation, confidence, classroom relationships and individual learning circumstances.

This makes teacher training an important part of any personalised-learning strategy. Educators need the skills to interpret data, use AI responsibly and combine digital tools with established teaching practices.

The broader challenge for schools is therefore not simply deciding which technology to purchase. It is creating an environment in which teachers have the time, training and autonomy to use these tools effectively.

Personalised learning is ultimately less about replacing teachers with technology and more about giving teachers better tools to understand and support every learner.