Collective Intelligence Cambridge Digital Education Futures Initiative

The COVID-19 Peer Hub as an example of Collective Intelligence (CI) in practice

Reda Sadki Global health, The Geneva Learning Foundation

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 with support from The Geneva Learning Foundation (TGLF), Asia, and Latin America 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 organismiccontextualist developmental perspective that orients enquiry to the design of increasingly complex and integrated CI systems that support coordinated group problem solving …

Blossoming across both digital and physical spaces

Meeting of the minds

Reda Sadki Events, Presentations, Theory

This is my presentation for the Geneva Learning Foundation, first made at the Swiss Knowledge Management Forum (SKMF) round table held on 8 September 2016 at the École polytechnique fédérale de Lausanne (EPFL). Its title is “Meeting of the minds: Rethinking our assumptions about the superiority of face-to-face encounters.” It is an exploration of the impact of rapid change that encompasses learning at scale, the performance revolution, complexity and volatility, and what Nathan Jurgenson calls the IRL fetish. The point is not to invert assumptions about the superiority of one medium over another. Rather, it is to look at the context for change, thinking through the challenges we face, with a specific, pragmatic focus on learning problems such as: You have an existing high-cost, low-volume face-to-face learning initiative, but need to train more people (scale). You want learning to be immediately practical and relevant for practitioners (performance). You need to achieve higher-order learning (complexity), beyond information transmission to …