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.

翻译：自动生成教育问题将在扩展在线教育中发挥关键作用，当全球人口在规划个性化学习旅程时，实现大规模自我评估。我们开发了\textit{EduQG}，一种通过适配大型语言模型构建的新型教育问题生成模型。广泛的实验表明，通过对科学文本和科学问题数据进行进一步预训练和微调预训练语言模型，\textit{EduQG}能够生成更优质的教育问题。