Learning and Creating Knowledge in Social Networks

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Presented to Desire2Learn Ignite conference, Melbourne

Text of Learning and Creating Knowledge in Social Networks

  • Learning and creating knowledge in a social networked era George Siemens, PhD September 9, 2013 Presented to: Desire2Learn Ignite Conference Melbourne, Australia
  • Slides: http://www.slideshare.net/gsiemens/ (citations and sources in notes pane)
  • Intent of this presentation: Detail the networks as an organizing structure for knowledge and learning Emphasize the need to transition to thinking in networks as a way of understanding and participating in science, society, learning, education, and creativity activities
  • We always lived in a connected world, except we were not so much aware of itThat has changed drastically in the last decade, at many, many different levels. Albert-lszl Barabsi
  • Structural holes Burt, 1992 Figure 2.6: Structural holes and weak 8es
  • Weak & strong ties Granovetter, 1973
  • Intense connectivity can homogenize the poolhigh cohesiveness can lead to the sharing of common rather than novel information Uzzi, Spiro (2005)
  • Dormant ties: Value of reconnecting Weak ties: novelty and efficiency Strong ties: trust shared perspective Levin, Walter & Murnighan, 2011
  • All the knowledge is in the connections David Rumelhart
  • To know something is to be organized in a certain way, to exhibit patterns of connectivity. To learn is to acquire certain patterns Stephen Downes
  • 870k papers visualized
  • h9p://cmap.ihmc.us/
  • Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. h9p://lod-cloud.net/
  • Why do some ideas spread?
  • "We're constantly being exposed to information on Facebook, Twitter and so on Some of it we pass on, and a lot of it we don't. Is there something that happens in the moment we first see itthat is different for those things that we will pass on successfully versus those that we won't? Lieberman, 2013
  • Getting the perfect Reddit submission title Lakkaraju, McAuley, Leskovec, 2013
  • Anesthesia and antiseptics Gawande, 2013
  • Hidden influentials in cascades (hubs often inhibit spread of information) Moreno, 2013
  • Dow, Adamic, Friggeri, 2013
  • Spicer, 2013 London Whale: How to lose $6b+
  • Metal workers: cylinders Steam Wheels Motion Transportation need Viability Scientific progress Entrepreneurship
  • a thousand threads that lead from the locomotive to the very beginning of the modern world Rosen, 2010
  • The process may be more like stitching together known parts than pioneering a complete route from scratch W. Bryan Arthur, 2006
  • The power of an ecosystem
  • October, 2001 Courtesy of Apple
  • April, 2003
  • October, 2005 TV shows, music videos (September, 2006, full length movies)
  • January, 2007 Courtesy of Apple
  • Network theory of change The integration of services provides the value for end users
  • Systems are now socio-technical. Cognition is no longer only in our heads. Technology is a part of our cognitive structure.
  • Networks become powerful through lock-in and integration i.e. what they exclude
  • Today in education, we are witnessing an unbundling of previous network structures. And a rebundling of network lock-in models.
  • Silicon Valley Shockley Terman
  • With increased complexity, (lack of) sensemaking in socio-technical systems leads to disastrous results
  • Bhopal, 1984
  • Mann Gulch, Collapse of sensemaking Weick 1993
  • Black hawk shoot down, 1994: was caused by a chain of events GAO Report
  • Distributed content and conversations gRSShopper h9p://grsshopper.downes.ca/
  • John Baker, 2013
  • Soft is hard and hard is easy Jon Dron
  • web-based participatory culture is subverting and destabilizing a top-down cultural industry model of education that has evolved around the medium of the book. Hanke, B. 2011
  • From guesses and hype to data and analytics Kolata (NY Times), 2013
  • Transparent boundariesnew ones being formed (yes, classroom walls are thinning, but the transition is broader)
  • h9p://mashe.hawksey.info/
  • Incorporating network attributes into learning design: - Resonance - Diversity - Learning control - Optimal network structures - Knowledge profile/imprint - Competence as configuration of networks - Peer learning and information flow - Why some ideas/concepts go viral
  • A university as assemblage of strangers from all parts in one spot J.H. Newman Lecturers 1854-1859
  • Twitter/Gmail: gsiemens