7 citations · 9 across the 5 of their papers we have counts for
5 papers
Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements
Oliver G. B. Garrod, Robin A. A. Ince, Meng Liu +6
Educational data filters have become a practical way to improve language-model pre-training, but most filters treat educational value as a single scalar property. This may be too b…
Visual Reasoning Benchmark: Evaluating Multimodal LLMs on Classroom-Authentic Visual Problems from Primary Education
Mohamed Huti, Alasdair Mackintosh, Amy Waldock +7
AI models have achieved state-of-the-art results in textual reasoning; however, their ability to reason over spatial and relational structures remains a critical bottleneck -- part…
Benchmarking the Pedagogical Knowledge of Large Language Models
Maxime Lelièvre, Amy Waldock, Meng Liu +7
Benchmarks like Massive Multitask Language Understanding (MMLU) have played a pivotal role in evaluating AI's knowledge and abilities across diverse domains. However, existing benc…
Could AI Leapfrog the Web? Evidence from Teachers in Sierra Leone
Daniel Björkegren, Jun Ho Choi, Divya Budihal +3
Only 37% of sub-Saharan Africans use the internet, and those who do seldom rely on traditional web search. A major reason is that bandwidth is scarce and costly. We study whether a…
Are LLMs Useful in the Poorest Schools? TheTeacher.AI in Sierra Leone
Jun Ho Choi, Oliver Garrod, Paul Atherton +3
Education systems in developing countries have few resources to serve large, poor populations. How might generative AI integrate into classrooms? This paper introduces an AI chatbo…