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Thursday 15 October 2015

A multi-disciplinary conversation about Collective intelligence – reflection on some missing elements

The mobile phone and its connectivity with the internet allows growing numbers of us to find, connect, and interact. That was the technological foundation for the original vision of cMOOCs (developed by George Siemens and Stephen Downes) as a democratic learning experience, and connectivism as a learning theory for a digital age (Siemens 2005).

Collectivism, as discussed in a multi disciplinary context at Nesta http://www.nesta.org.uk/event/roots-collective-intelligence, relies on the same technological infrastructure. What is collectivism and how does it differ from connectivism? We heard that the Internet allows for a new form of activism for example, political. How do individuals participate? We were given the example of number of Facebook likes as an indicator of collective intentionality, a starting point. However, how to sustain collectivism i.e. participation, was a recurrent question; how does an individual move on from the Facebook click to participate?  Participating in connectivist learning opportunities requires good infrastructure design and from the individual curiosity, motivation to learn, to contribute, openness, digital literacy (a fair amount) and I would argue that digital fluency and socio-emotional experience are the elements that sustain on-going participation.

Intelligence. Summing up the day Colin Blakemore focused on intelligence. His considered opinion was that we hadn’t spent enough time talking about what we meant by intelligence. He is a cognitive neuroscience and so unsurprisingly, he also spent some time reflecting on the contributions made by the speakers who were cognitive scientists. Those mainly cohered around what, when and how collective intelligence occurs with when and what depending on group size (Robin Dunbar) how on noise reduction, competence, persistence, reputation (Chris Frith). Others concentrated on decision making as investigated in the laboratory; the role of argumentation in decision-making and the quality of decision making. This was a useful contribution as we had already heard that a binary response as the norm could be the problem for collectivism in political contexts. Also, it has some connection with learning science, where design for collaborative learning (i.e. group work) requires a joint task and the opportunity to propose ideas, discuss them with others, negotiate a solution to disparate ideas, and contribute to a shared outcome.

Overall, the multi-disciplinary approach was very successful. However, there was a sense that the individual was objectified. The subjective was largely missing from the day; purposefulness and socio-emotional experience. Therefore, it was interesting to learn about the fall off in Wikipedia contributions since bots were introduced. The explanation provided was that the bots were overly obedient to protocol and rules - another example of the clunkiness of bot interaction as described in a previous post and that the uniquely human nature of socio-emotional experience is so often neglected

Surely, design is important both for successful knowledge building and the socio-emotional experience of collective action.


Siemens, G. (2005). Connectivism: A learning theory for a digital age. International journal of instructional technology and distance learning, 2(1), 3-38.

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