Scalable Educational Question Generation with Pre-trained Language Models

Sahan Bulathwela; Hamze Muse; Emine Yilmaz

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arXiv · 2305.07871

Scalable Educational Question Generation with Pre-trained Language Models

Sahan Bulathwela·Hamze Muse·Emine Yilmaz

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Abstract

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.

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Sahan Bulathwela, Hamze Muse, Emine Yilmaz. 2023-05-13. Scalable Educational Question Generation with Pre-trained Language Models. https://arxiv.org/abs/2305.07871

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