Analytics in Learning and Knowledge - George Siemens

Analytics in Learning andKnowledge George Siemens June 8, 2011 Milan, Italy Presented to:

Critical Challenge:Understand how power and controlstructures influence information flow,person-level activity, and innovation in anorganization

http://www.scribd.com/doc/48586092/KPCB-Top-10-Mobile-Trends

Blurring the physical and virtualworlds (blame mobile devices)

Intentions, interests: Explicit

All the world is data. And so are we. And all of our actions. http://www.hoganphoto.com/batsto_grist_mill.htm

Crazy abundance

More is different, but not new 1550-1750http://muse.jhu.edu/journals/journal_of_the_history_of_ideas/toc/jhi64.1.html

BIGData

What is different about information?Quantity: how many people can talk to (sharewith) each otherType: social, sensors & informationRepresentation: the “thing that points to anotherthing” is not human readable anymore(i.e. a cave painting of an animal=the animal itrepresents. Binary is abstracted representation formachines, not humans)Relationships: (power & control)(more on that in a bit)

How do we cope?

Through social means?

Socialmedia?

Social sensemaking and wayfinding in abundance and complexity

Social spaces and knowledge growth

“Peak Social”

UNSTRUCTURED Daily Crisis Sensemaking Mapping to New Existing Knowledge Knowledge STRUCTUREDINDIVIDUAL COLLECTIVE

Social and/versus big-data, machine-driven,patterning [inset buzzword] sensemaking

Event-Continual flow centredof information pattern recognition

Talk-o-meter

http://research.uow.edu.au/learningnetworks/seeing/snapp/index.html

Information InformationQuantity Type Coherence through technical and social networks and techniques Information Representation

Each new node amplifies the value of the entire network…and produces lock-in

Learning Analytics & Knowledge 2012: http://lak12.sites.olt.ubc.ca/ Facebook/Twitter: gsiemens

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Analytics in Learning and Knowledge - George Siemens

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Analytics in Learning and Knowledge - George Siemens — Presentation Transcript