Questioning the role of AI in exam marking

The application of machine learning to exam marking might save time and money, but some educational scientists think it could also change the nature of assessment itself

In January 2020, Ofqual invited schools to submit student essays for a research project to explore the potential of artificial intelligence (AI) in exam marking. In the accompanying blog, the exam regulator reassured teachers and pupils this was just a preliminary test and: “We wouldn’t suddenly see AI being used at scale in marking high-profile qualifications overnight.”

Just seven months later, prime minister Boris Johnson was blaming a “mutant algorithm” for an exam fiasco that saw more than 40 per cent of A-level students in England get downgraded, including many high achievers from disadvantaged backgrounds. That led to the AI marking study being put on hold. 

This despite the A-level algorithm being based on statistical methods rather than AI, not to mention it was trying to achieve the impossible by generating exam results without there being any exams.