Scalable Educational Question Generation with Pre-trained Language
  Models
Sahan Bulathwela Hamze Muse Emine Yilmaz
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.