About
This paper was submitted by EdTech Hub and was later accepted for presentation at the Learning @ Scale conference held in Copenhagen in 2022.
Abstract
Gender-based inequality in access to education is an issue of global concern. The use of educational technology is often cited as a potential way to help close educational gaps and promote girls’ education. However, the existing evidence base in relation to girls’ learning outcomes when using educational technology in low-income countries is limited. The evidence base was recently boosted by a study in which findings from classic educational development studies were revisited and disaggregated by gender.
In this paper, we present a secondary analysis of this dataset, focusing specifically on educational technology-focused interventions and sourcing additional data. The analysis comprises 35 interventions, reported across 15 publications, published between 2003 and 2019. We discuss the relative efficacy of different types of educational technology interventions by comparing effect sizes of learning outcomes for girls.
The findings suggest that interventions which focus on distributing hardware alone have mixed — and sometimes negative — effects on learning outcomes for girls. The impact of software-focused interventions is more positive, particularly personalised learning applications. Furthermore, we consider characteristics of the studies included in the analysis and identify gaps in the literature that will help shape future research in this field.
Authors and contributors
- Jordan, Katy (Author)
- Myers, Christina (Author)
Citation
Katy Jordan and Christina Myers. 2022. EdTech and Girls Education in Lowand Middle-Income Countries: Which Intervention Types Have the Greatest Impact on Learning Outcomes for Girls?. In Proceedings of the Ninth ACM Conference on Learning @ Scale (L@S ’22), June 1–3, 2022, New York City, NY,
USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3491140. 3528305
Key themes
- Out-of-school children and youth
- Girls education
- Gender equity
- Phone based learning
- Personalised learning
Type
- Paper
