Last year I wrote a large number of posts about personal learning. Towards the end of the year I started to think about how spaces provide opportunities to connect personal learning. This year I am hoping to develop these ideas about Commons spaces. I hope too to explore how we talk about and write about these spaces.
My first post for 2011 is about collective intelligence. Back in September, 2010, Science published a paper by Anita Williams Woolley, Christopher F. Chabris, Alex Pentland, Nada Hashmi, and Thomas W. Malone titled Evidence for a collective intelligence factor in the performance of human groups. The authors noted that:
In two studies with 699 people, working in groups of two to five, we find converging evidence of a general collective intelligence factor that explains a group’s performance on a wide variety of tasks. This “c factor” is not strongly correlated with the average or maximum individual intelligence of group members but is correlated with the average social sensitivity of group members, the equality in distribution of conversational turn-taking, and the proportion of females in the group.
The ACA Wiki observes of this study that:
… c was correlated with the average social sensitivity of the group and in the equality of term turn-taking as measured through socio-metric badges in the group. It was also correlated with the proportion of females in the group although OLS regressions implied that this was because females were more likely to take turns an to be more socially sensitive.
- Recognizing common daily human activities (such as sitting, standing, walking, and running) in real time using a 3-axis accelerometer.
- Extracting speech features in real time to capture non-linguistic social signals such as interest and excitement, the amount of influence each person has on another in a social interaction, and unconscious back-and-forth interjections, while ignoring the words themselves in order to assuage privacy concerns.
- Performing indoor user localization by measuring received signal strength and using triangulation algorithms that can achieve position estimation errors as low as 1.5 meters, which also allows for detection of people in close physical proximity.
- Communicating with Bluetooth enabled cell phones, PDAs, and other devices to study user behavior and detect people in close proximity.
- Capturing face-to-face interaction time using an IR sensor that can detect when two people wearing badges are facing each other within a 30°-cone and one meter distance.
Larry Irons has an interesting discussion of this work in his post Gossip, Collaboration and Performance in Distributed Teams.
There are some very important privacy issues in using these badges. Benjamin and Sandy discuss them in detail in Reality Mining. I would be very happy to wear such a badge as art of my daily working environment. I am keen to discover how working together in real spaces might add to working together in virtual spaces.
There will be some interesting opportunities for me to explore collective intelligence in 2011. At the University of Canberra I will be able to work in a number of shared spaces and explore the emergence of pedagogy and practice. In cyberspace I hope to participate in a number of massive open online courses (MOOC) including Learning Analytics and Knowledge, and Connectivism and Connective Knowledge 2011,
Some colleagues from an earlier MOOC (CCK08) have provided some fascinating insights into MOOC behaviour. Recently Lisa Lane discussed a spectrum of MOOC design. Jenny Mackness has been exploring connectivism and lurking. Carmen Tschofen has been helping me understand situated learning and ‘legitimate peripheral participation’ (and led me to this infed blog post about communities of practice).
My participation in Commons spaces will be guided as it has been for the last three years by Stephen Downes and George Siemens. They act as wonderful compasses for me. Dave Cormier has some advice too in his YouTube MOOC video:
What an exciting year ahead!