Pre-Training With Scientific Text Improves Educational Question Generation

Hamze Muse; Sahan Bulathwela; Emine Yilmaz

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arXiv · 2212.03869

Pre-Training With Scientific Text Improves Educational Question Generation

Hamze Muse·Sahan Bulathwela·Emine Yilmaz

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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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cs.CL cs.AI cs.CY cs.IR cs.LG stat.ML

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Hamze Muse, Sahan Bulathwela, Emine Yilmaz. 2022-12-07. Pre-Training With Scientific Text Improves Educational Question Generation. https://arxiv.org/abs/2212.03869

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