The gap between theoretical knowledge and practical implementation remains one of the most persistent challenges in global health. This divide manifests in multiple ways: research that fails to address practitioners’ urgent needs, innovations from the field that never inform formal evidence systems, and capacity building approaches that cannot meet the massive scale of learning required. Donald Schön’s seminal 1995 analysis of the “dilemma of rigor or relevance” in professional practice offers crucial insights for “knowing-in-action“. It can help us understand why transforming global health requires new ways of knowing – a new epistemology. Schön’s analysis: The dilemma of rigor or relevance Schön begins by examining how knowledge becomes institutionalized through education. Using elementary school mathematics as an example, he describes how knowledge is broken into discrete units (“math facts”), organized into progressive modules, assembled into curricula, and measured through standardized tests. This systematization shapes not just content but the entire …
Why become a Teach to Reach Partner?
We need new ways to tackle global health challenges that impact local communities. It is obvious that technology alone is not enough. We need human ingenuity, collaboration, and the ability to share across borders and boundaries. That is why I am excited about Teach to Reach. Imagine if we could tap into the collective intelligence of over 20,000 health professionals working on the front lines in low- and middle-income countries. What insights could we gain? What innovations might we uncover? This is exactly what Teach to Reach is doing. In June 2024, Teach to Reach 10 brought together 21,398 participants from across the health system – from community health workers to national policymakers. This diverse group represents an incredible wealth of knowledge and experience that has often been overlooked in global health decision-making. Bridge the gap between policy and practice One of the most exciting aspects of Teach to Reach …
How to overcome limitations of expert-led fellowships for global health
Coaching and mentoring programs sometimes called “fellowships” have been upheld as the gold standard for developing leaders in global health. For example, a fellowship in the field of immunization was recently advertised in the following manner. We will not dwell here on the ‘live engagements’, which are expert-led presentations of technical knowledge. We already know that such ‘webinars’ have very limited learning efficacy, and unlikely impact on outcomes. (This may seem like a harsh statement to global health practitioners who have grown comfortable with webinars, but it is substantiated by decades of evidence from learning science research.) On the surface, the rest of the model sounds highly effective, promising personalized attention and expert guidance. The use of a project-based learning approach is promising, but it is unclear what support is provided once the implementation plan has been crafted. It is when you consider the logistical aspects that the cracks begin …
How does the scalability of peer learning compare to expert-led coaching ‘fellowships’?
By connecting practitioners to learn from each other, peer learning facilitates collaborative development. ow does it compare to expert-led coaching and mentoring “fellowships” that are seen as the ‘gold standard’ for professional development in global health? Scalability in global health matters. (See this article for a comparison of other aspects.) Simplified mathematical modeling can compare the scalability of expert coaching (“fellowships”) and peer learning Let N be the total number of learners and M be the number of experts available. Assuming that each expert can coach K learners effectively: For N>>M×KN>>M×K, it is evident that expert coaching is costly and difficult to scale. Expert coaching “fellowships” require the availability of experts, which is often optimistic in highly specialized fields. The number of learners (N) greatly exceeds the product of the number of experts (M) and the capacity per expert (K). Scalability of one-to-one peer learning By comparison, peer learning turns …
The COVID-19 Peer Hub as an example of Collective Intelligence (CI) in practice
A new article by colleagues at the Cambridge Digital Education Futures Initiative (DEFI) illustrates academic understanding of Collective Intelligence (CI) through the COVID-19 Peer Hub, a peer learning initiative organized by over 6,000 frontline health workers in Africa, Asia, and Latin America, with support from The Geneva Learning Foundation (TGLF), in response to the initial shock of the pandemic on immunization services that placed 80 million children at risk of missing lifesaving vaccines. Learn more about the COVID-19 Peer Hub… From the abstract: Collective Intelligence (CI) is important for groups that seek to address shared problems. CI in human groups can be mediated by educational technologies. The current paper presents a framework to support design thinking in relation to CI educational technologies. Our framework is grounded in an organismic-contextualist developmental perspective that orients enquiry to the design of increasingly complex and integrated CI systems that support coordinated group problem solving …
Digital challenge-based learning in the COVID-19 Peer Hub
A digital human knowledge and action network of health workers: Challenging established notions of learning in global health When Prof Rupert Wegerif introduced DEFI in his blog post, he argued that recent technologies will transform the notions and practice of education. The Geneva Learning Foundation (TGLF) is demonstrating this concept in the field of global health, specifically immunization, through the ongoing engagement of thousands of health workers in digital peer learning. As images of ambulance queues across Europe filled TV screens in 2020, another discussion was starting: how would COVID-19 affect countries with weaker health systems but more experience in facing epidemic outbreaks? In the global immunization community, there were early signs that ongoing efforts to protect children from vaccine preventable diseases – measles, polio, diphtheria – would suffer. On the ground, there were early reports of health workers being afraid to work, being excluded by communities, or having key supplies disrupted. The …