Data for development: shifting research methodologies for Covid-19
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Issue Date
2020-11-20
Metadata
Show full item recordAbstract
Successful and appropriate informal digital learning can help individuals and communities build sustainable and meaningful livelihoods, strengthen social cohesion and resilience, preserve and enhance cultural traditions and engage constructively and robustly with the wider world. Building digital learning that embodies participative and collaborative development and community ownership and control rests on the work of educators who understand these individuals and communities and their cultures, which may be very distant and different from global norms and the mainstream of their countries. These educators may however be reliant on research tools and techniques that are inappropriate or inadequate in these different settings and situations. This paper sets out a brief critique of these established tools and techniques as the prelude to reviewing a range of more innovative and eclectic ones drawn from a variety of disciplines. This is timely because COVID-19 has increased the barriers that separate educators from would-be learners whilst also increasing the education that these people and communities need.Citation
Traxler, J., and Smith, M. (2020) Data for development: shifting research methodologies for Covid-19, Journal of Learning for Development, 7 (3), pp. 306-325.Publisher
Commonwealth of LearningJournal
Journal of Learning for DevelopmentAdditional Links
https://jl4d.org/index.php/ejl4d/article/view/463/518Type
Journal articleLanguage
enDescription
© 2020 The Authors. Published by The Journal of Learning for Development. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://jl4d.org/index.php/ejl4d/article/view/463/518ISSN
2311-1550Collections
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-sa/4.0/