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