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Vanessa Vaile

Artifacts of sensemaking | Learning and Knowledge Analytics - 2 views

www.learninganalytics.net/?p=94

sensemaking analytics learning Siemens learning analytics #lak11 #evomlit11 #evomlit chaos management

shared by Vanessa Vaile on 16 Jan 11 - No Cached
  • sensemaking attempts include: blog posts, summary Moodle forum posts, images, analysis of discussion forum activity, social network analysis, etc.
  • Creating and sharing artifacts of sensemaking is an important activity in open online courses.
  • filtering (or forming sub-networks/groups/discussion clusters) happens once the course is underway
  • ...9 more annotations...
  • learners are a diverse group
  • uniformity of university program tracks masks the differences of learners.
  • In an open course, participants aren’t filtered in the same way.
  • Higher education generally homogenizes learners through pre-requisites or subject streams (programs).
  • we begin to connect with those who respond favorably, we gravitate toward those who we find interesting (but not so interesting that we feel no connection),
  • One of the primary ways of connecting with others in an open course is through creating and sharing artifacts of sensemaking.
  • When our learning is transparent, we become teachers.
  • Essentially, we form small sub-networks that connect (lattice-like) to other sub-networks
  • fluidity of interaction across novice-intermediate-expert networks is one of the main points of value in open courses.
Vanessa Vaile

Reflections on Open Courses: Curation, Ombuds, and Concierges | Learning and Knowledge ... - 0 views

www.learninganalytics.net/?p=89

#evomlit #evomlit11 analytics siemens learning mooc #LAK11

shared by Vanessa Vaile on 13 Jan 11 - No Cached
  • Part of the focus in LAK11 is to explore how we can better use data to make sense of complex topics such as:
  • How students interact
  • patterns of activity
  • ...31 more annotations...
  • How knowledge is “grown” as individuals interact with others
  • How individual learners develop their conceptual understanding of a topic
  • How teams solve complex problems
  • tools and activities that are most effective
  • How individual learners “eliminate” unneeded or irrelevant ideas and concepts
  • explore various methods for analyzing data
  • tools that aid that analysis.
  • limitations of an algorithmically-defined world of education
  • Google’s search algorithm has been ruined
  • Reflections on Open Courses: Curation, Ombuds, and Concierges
  • focus in LAK11 is to explore how we can better use data
  • methods for analyzing data produced by learners and numerous tools that aid that analysis
  • Google’s search algorithm has been ruined argues
  • What’s the solution? Well, a return to curation, of course.
  • What does this have to do with LAK11?
  • over the last five years, social networks and social media have taken over the web
  • Google is driven by the mission to organize the world’s information. Facebook is driven by the mission to “help you connect and share with the people in your life”. The two companies are on a collision course: is the future informationally or socially based? Eventually, social bleeds into informational. And vice versa.
  • We trust people we like, people with whom we feel a connection
  • All social interactions are information. Many information interactions are social.
  • urators – they present their views and spin existing stories within the framework of their beliefs
  • “temporary centres”.
  • problem of how to create temporary centres
  • ome commentary or facilitator posts
  • LAK11, we’ve taken a different approach. We’ve retained similar course design elements to previous open online courses (OOCs – I’m starting to think that M=Massive part of MOOCs is misleading or even off-putting
  • What we gain in our decision to run this course on various sites, using more or less accessible tools, is the demonstration that anyone with an interesting topic/idea and a willingness to experiment can open up a course for a broader audience.
  • What we lose – and I’m still uneasy about this trade off – is the integrated archive of activity in the course.
  • Complexity cannot be understood solely through algorithms
  • Curation is an important component in the process
  • data mining, visualization
  • wayfinding and sensemaking in social systems
  • human aspect of data, sensemaking, curation, and trust
Vanessa Vaile

All too much | The Economist - 0 views

www.economist.com/15557421

learning analytics #lak11 analytics learning education database data chaos management chaos

shared by Vanessa Vaile on 16 Jan 11 - Cached
  • QUANTIFYING the amount of information that exists in the world is hard. What is clear is that there is an awful lot of it, and it is growing at a terrific rate (a compound annual 60%) that is speeding up all the time.
  • data from sensors, computers, research labs, cameras, phones and the like surpassed the capacity of storage technologies in 2007. Experiments at the Large Hadron Collider at CERN, Europe’s particle-physics laboratory near Geneva, generate 40 terabytes every second—orders of magnitude more than can be stored or analysed.
  • scientists collect what they can and let the rest dissipate into the ether.
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  • What about the information that is actually consumed?
  • households were bombarded with 3.6 zettabytes of information (or 34 gigabytes per person per day)
  • In terms of bytes, written words are insignificant
  • half of all bytes are received interactively
  • “information created by machines and used by other machines will probably grow faster than anything else,”
  • ‘database to database’ information
  • “It is a very sad thing that nowadays there is so little useless information,” quipped Oscar Wilde in 1894.
  • Only 5% of the information that is created is “structured”, meaning it comes in a standard format of words or numbers that can be read by computers.
  • changing as content on the web is increasingly “tagged”, and facial-recognition and voice-recognition software can identify people and words in digital files.
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