In the context of low- and middle-income countries (LMICs), digital personalised learning (DPL) could play an important role in ensuring more inclusive and equitable access to education, through its potential to address a ‘one-size-fits-all’ approach to education (FitzGerald et al., 2018). The first meta-analysis of DPL in LMICs reveals how this can have a statistically significant positive impact on learning outcomes (0.18 effect size: Major et al., 2021). However, limited research has examined the effectiveness of DPL when integrated into classroom practice.
In this presentation, we report findings from the first phase of an innovative new design-based research study focusing on integrating DPL into Kenyan classrooms – part of a wider research partnership between EdTech Hub, Women Educational Researchers of Kenya (WERK) and EIDU (a leading DPL provider). EIDU offers a DPL platform, deployed on low-cost Android devices in pre-primary and primary classrooms. The software facilitates adaptive assessment and measurement strategies, generating continuous insights into learning. In Kenya, this is aligned with a structured pedagogy programme (Tayari), enabling the integration of digital content with classroom instruction.
Abstract
In this presentation, we report findings from the first phase of an innovative new design-based research study focusing on integrating DPL into Kenyan classrooms—part of a wider research partnership between EdTech Hub, Women Educational Researchers of Kenya (WERK) and EIDU (a leading DPL provider)
Authors and contributors
Major, Louis (Author)
Francis, Gill A. (Author)
Tsapali, Maria (Author)
Citation
Major, L., Francis, G. A., & Tsapali, M. (2021). The effectiveness of technology-supported personalised learning in low- and middle-income countries: A meta-analysis. British Journal of Educational Technology, 52(5), 1935–1964. https://doi.org/10.1111/bjet.13116
Link to this record
https://docs.edtechhub.org/lib/5U948655
Key themes
- Computer-assisted learning
- Learning outcomes
- Low- and middle-income countries
- Meta-analysis
- Personalisation
- Personalised adaptive learning
Type
- Journal Article