Effective and scalable math support: Experimental evidence on the impact of an AI-math tutor in Ghana

Resource type
Conference Paper
Authors/contributors
Title
Effective and scalable math support: Experimental evidence on the impact of an AI-math tutor in Ghana
Abstract
This study is a preliminary evaluation of the impact of receiving extra math instruction provided by Rori, an AI-powered math tutor accessible via WhatsApp, on the math performance of approximately 500 students in Ghana. Students assigned to both the control and treatment groups continued their normal classes with identical curricula and classroom hours. Students in the treatment group were given access to a phone for one hour a week – during their study hall period – and were allowed to use Rori to independently study math. All other aspects of the groups’ in-school experience were the same. We find that the math growth scores were substantially higher for the treatment group and statistically significant (p < 0.001). The effect size of 0.36 is considered large in the context of educational interventions: approximately equivalent to an extra year of learning. Importantly, Rori works on basic mobile devices connected to low-bandwidth data networks, and the marginal cost of providing Rori is approximately $5 per student, making it a potentially scalable intervention in the context of LMICs’ education systems. While the results should be interpreted judiciously, as they only report on year 1 of the intervention, they do suggest that chat-based tutoring solutions leveraging AI could offer a cost-effective and operationally efficient approach to enhancing learning outcomes for millions of students globally.
Date
2024
Proceedings Title
Communications in Computer and Information Science
Place
Cham
Publisher
Springer Nature Switzerland
Pages
373-381
Language
en
ISBN
978-3-031-64314-9 978-3-031-64315-6
Short Title
Effective and scalable math support
Accessed
14/07/2025, 15:26
Library Catalogue
Crossref
Extra
DOI: 10.1007/978-3-031-64315-6_34 ISSN: 1865-0929, 1865-0937
Citation
Effective and scalable math support: Experimental evidence on the impact of an AI-math tutor in Ghana. (2024). Communications in Computer and Information Science, 373–381. https://doi.org/10.1007/978-3-031-64315-6_34