  With the boom of digital educational materials and scalable e-learning
systems, the potential for realising AI-assisted personalised learning has
skyrocketed. In this landscape, the automatic generation of educational
questions will play a key role, enabling scalable self-assessment when a global
population is manoeuvring their personalised learning journeys. We develop
EduQG, a novel educational question generation model built by adapting a large
language model. Our initial experiments demonstrate that EduQG can produce
superior educational questions by pre-training on scientific text.
