The automatic generation of educational questions will play a key role in scaling online education, enabling self-assessment at scale when a global population is manoeuvring their personalised learning journeys. We develop \textit{ EduQG}, a novel educational question generation model built by adapting a large language model. Our extensive experiments demonstrate that \textit{ EduQG} can produce superior educational questions by further pre-training and fine-tuning a pre-trained language model on the scientific text and science question data.
Categories: cs.AI cs.CY cs.IR cs.LG