arXiv:2212.03869

Pre-Training With Scientific Text Improves Educational Question Generation

Hamze Muse, Sahan Bulathwela, Emine Yilmaz

제출 2022-12-07

원문 초록

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.

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