Can AI reduce teacher workload? Early evidence from a UK trial with ChatGPT

By Carmen Pannone, University of Cagliari, Italy

Generative Artificial Intelligence (GenAI) tools like ChatGPT are becoming increasingly common in classrooms—not just for students, but also for teachers. In England, the Department for Education has acknowledged that educators are using GenAI more often to plan lessons, create teaching materials, and even write exam questions. A major advantage is saving time, especially given that workload is a key driver of teacher attrition.

To explore whether AI can help reduce this burden, the National Foundation for Educational Research recently conducted a rigorous trial. The study involved 68 secondary schools and 259 science teachers, who were randomly assigned to prepare Year 7 and 8 science lessons either with or without ChatGPT. Teachers in the ChatGPT group were given a practical guide to support their use of the tool. Over a 10-week period during the summer term of 2024, teachers logged their lesson preparation time, with particular focus on weeks 6 to 10, after an initial adaptation phase.

The findings were encouraging. On average, teachers using ChatGPT spent 25 minutes less per week on lesson preparation than those in the non-AI group—56 minutes versus 81.5—representing a 31% time saving. Importantly, an independent expert panel found no difference in the quality of lesson materials between the two groups.

Use of the support guide also declined over time, suggesting that teachers became more confident integrating the tool into their practice. Looking ahead, future research could explore how GenAI tools like ChatGPT are used for other aspects of teachers’ work—such as administrative duties—and whether their impact differs across subjects or age groups, especially as new and more advanced versions continue to roll out.