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.
翻译:随着数字教育材料和可扩展电子学习系统的繁荣,实现由AI协助的个人化学习的潜力大增。 在这种环境下,自动产生教育问题将起到关键作用,当全球人口在操纵其个性化学习历程时,能够进行可扩展的自我评估。 我们开发了EduQG,这是一个通过改造大型语言模式而构建的新型教育问题生成模型。 我们的初步实验表明,EduQG可以通过科学文本预科培训产生更优秀的教育问题。