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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

What is the unique idea in Connectivism? « Connectivism - 0 views

www.connectivism.ca/?p=116

connectivism Siemens #evomlit #evomlit11 #CCK11 multiliteracies mooc web2.0 education technology

shared by Vanessa Vaile on 20 Jan 11 - Cached
  • what is the unique idea in connectivism?
  • a new idea is often an old idea in today’s context.
  • what is the new idea in constructivism? That people construct their own knowledge? Or the social, situated nature of learning? Or that knowledge is not something that exists outside of a knower? (i.e. there is no “there” out there)
  • ...30 more annotations...
  • What is new with constructivism today is that these principles are being (have been) coupled with existing calls for educational reform
  • calls for increased learner control
  • From whence does connectivism originate?
  • 1. Tools augment our ability to interact with each other and to act.
  • “carriers of patterns of previous reasoning”
  • all technology carries an ideology.
  • 2. Contextual/situated nature of learning.
  • 3. Social learning theory
  • 4. Epistemological views: all learning theory is rooted in epistemology
  • concept of rhizomatic knowledge and community as curriculum
  • Stephen Downes’ work on connective knowledge valuable.
  • Dave Cormier has been advancing the
  • 5. Concept of mind.
  • 6. We also find a compatible view of connectivism in the work of new media theorists such as McLuhan
  • 7. We also find support for connectivism in the more nebulous theories of complextiy and systems-based thinking
  • 8. Network theory
  • The Unique Ideas in Connectivism
  • Concepts like small worlds, power laws, hubs, structural holes, and weak/strong ties
  • Networks are prominent in all aspects of society, not just education. This prominence is partly due to the recognizable metaphor of the internet…but networks have always existed. As Barabasi states, networks are everywhere. We just need an eye for them.
  • 1. Connectivism is the application of network principles to define both knowledge and the process of learning.
  • 2. Connectivism addresses the principles of learning at numerous levels – biological/neural, conceptual, and social/external
  • 3. Connectivism focuses on the inclusion of technology as part of our distribution of cognition and knowledge.
  • 1) cognitive grunt work in creating and displaying patterns
  • 2) extending and enhancing our cognitive ability
  • 3) holding information in ready access form
  • 4. Context. While other theories pay partial attention to context, connectivism recognizes the fluid nature of knowledge and connections based on context
  • 5. Understanding. Coherence. Sensemaking. Meaning.
  • These elements are prominent in constructivism, to a lessor extent cognitivism, and not at all in behaviourism.
  • But in connectivism, we argue that the rapid flow and abundance of information raises these elements to critical importance.
  • Connectivism finds its roots in the climate of abundance, rapid change, diverse information sources and perspectives, and the critical need to find a way to filter and make sense of the chaos.
Vanessa Vaile

How do you manage your information? - 0 views

landing.athabascau.ca/...do-you-manage-your-information

MOOC potcert11 cmc11 evomlit multiliteracies siemens information web2.0 tools

shared by Vanessa Vaile on 13 Sep 11 - No Cached
  • Managing resources is one of the most important skills for students (people!) to master. I started blogging in 2000 and have spent a significant amount of time trying to devise an information management system that I can use to make sense of a topic or discipline. I've attached an image below that highlights the process and tools that I use.
  • This system has a few weaknesses
  • 1. It fails to account for trend development and dissipation
  • ...3 more annotations...
  • 2. Too many aspects of my sensemaking system are manua
  • Information is not something that has value in itself. We use it to do something
  • What tools do you use? Eric von Stackelberg Profile Edit profile icon Following Followers Market Posts Poll Pages Blog Files Photo Albums I have moved to fewer tools with the intention of increasing the depth of data held in those tools while reducing duplication.
  • Vanessa Vaile on 13 Sep 11
     
    The Landing: George Siemens's blog:
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