|Client||Academic Global for UNICEF OGIP|
|Partner||UNICEF OGIP Academic Global|
The Office of Global Insight sought to undertake a landscape analysis that explores emerging trends, challenges, and opportunities in the use of Personalized Learning (PL) solutions in low- and middle-income countries. The landscape analysis focuses on tech-enabled PL solutions of the following type: (i) data-driven systems, (ii) adaptive learning systems, and, (iii) intelligent tutoring systems. The landscape analysis comprised two phases – Phase A and Phase B.
- Phase A undertakes a scan of the different types of PL solutions being implemented in developing country contexts and identifies trends in key product design and implementation-related characteristics. 40 digital personalised solutions in LMICs were reviewed. The output of Phase A is a slide deck and compendium with the 40 product profiles.
- Phase B explores the policy, financing, and implementation environment/eco-system factors which affect PL design and use to identify emerging lessons, barriers, and opportunities, relevant to developing country contexts. The output is a 35-page report covering trends, barriers, opportunities, and challenges of eco-system factors.
OpenDevEd partnered with Academic Global (the lead) to provide consultancy services to produce the landscape analysis.
OpenDevEd was fully engaged throughout both Phase A and B, providing thought leadership, strategic input, project management, data collection, analysis, and report write-up.
The Phase A report has proved timely and in high demand. The project pioneered a reference group on digital personalised learning to bring partners such as Bill and Melinda Gates Foundation, Central Square Foundation, MIT Solve, Word Bank and UNICEF together to co-ordinate, align and share learnings. The preliminary findings have been presented at the mEd Alliance conference and CIES.
— UNICEF in our Evidence Library