Pre-Training With Scientific Text Improves Educational Question
Generation
- URL: http://arxiv.org/abs/2212.03869v1
- Date: Wed, 7 Dec 2022 17:17:58 GMT
- Title: Pre-Training With Scientific Text Improves Educational Question
Generation
- Authors: Hamze Muse, Sahan Bulathwela and Emine Yilmaz
- Abstract summary: 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.
- Score: 17.701780209575777
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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 large
language model. Our initial experiments demonstrate that EduQG can produce
superior educational questions by pre-training on scientific text.
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