Are LLMs useful in the poorest schools? TheTeacher.AI in Sierra Leone
Resource type
Preprint
Authors/contributors
- Choi, Jun Ho (Author)
- Garrod, Oliver (Author)
- Atherton, Paul (Author)
- Joyce-Gibbons, Andrew (Author)
- Mason-Sesay, Miriam (Author)
- Björkegren, Daniel (Author)
Title
Are LLMs useful in the poorest schools? TheTeacher.AI in Sierra Leone
Abstract
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 chatbot designed to assist teachers in Sierra Leone with professional development to improve their instruction. We describe initial findings from early implementation across 122 schools and 193 teachers, and analyze its use with qualitative observations and by analyzing queries. Teachers use the system for lesson planning, classroom management, and subject matter. Usage is sustained over the school year, and a subset of teachers use the system more regularly. We draw conclusions from these findings about how generative AI systems can be integrated into school systems in low income countries.
Repository
arXiv
Archive ID
arXiv:2310.02982
Date
2024-02-01
Accessed
04/07/2025, 10:24
Short Title
Are LLMs useful in the poorest schools?
Library Catalogue
Extra
arXiv:2310.02982 [cs]
version: 2
Citation
Choi, J. H., Garrod, O., Atherton, P., Joyce-Gibbons, A., Mason-Sesay, M., & Björkegren, D. (2024). Are LLMs useful in the poorest schools? TheTeacher.AI in Sierra Leone (arXiv:2310.02982; Version 2). arXiv. https://doi.org/10.48550/arXiv.2310.02982
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