Pre-Training With Scientific Text Improves Educational Question Generation (2212.03869v1)

Abstract: 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 LLM. Our initial experiments demonstrate that EduQG can produce superior educational questions by pre-training on scientific text.