Trends in Digital Personalized Learning: Landscape Review of Personalized Learning Solutions in Low and Middle-Income Countries
Resource type
Book
Authors/contributors
- Castillo, Nathan M. (Author)
- Adam, Taskeen (Author)
- Alam, Andaleeb (Author)
- Alrawashdeh, Ghaida S (Author)
- Tiwari, Priyamvada (Author)
Title
Trends in Digital Personalized Learning: Landscape Review of Personalized Learning Solutions in Low and Middle-Income Countries
Abstract
Digital Personalized Learning (DPL) - tech solutions and products that tailor learning to individuals and their specific learning needs - have the potential to improve learning outcomes and close gaps for students who have fallen behind. However, there is a limited of evidence from digital personalized learning interventions deployed across the developing world. This landscape review identifies trends and gaps in DPL implementation in low- and middle-income country (LMIC) contexts. This research report presents data on DPL effectiveness in LMICs from over 40 interventions worldwide by to classifying and categorizing design features, implementation models, and scalability factors. Implications for future research and design are discussed from a multi-stakeholder perspective.
Publisher
UNICEF Office of Global Insight & Policy
Date
2022
Short Title
Trends in Digital Personalized Learning
Accessed
08/11/2022, 20:11
Library Catalogue
University of Illinois Urbana-Champaign
Citation
Castillo, N. M., Adam, T., Alam, A., Alrawashdeh, G. S., & Tiwari, P. (2022). Trends in Digital Personalized Learning: Landscape Review of Personalized Learning Solutions in Low and Middle-Income Countries. UNICEF Office of Global Insight & Policy. https://www.unicef.org/globalinsight/reports/trends-digital-personalized-learning
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