Here is the link to Sandy McCauley's special presentation for this week.
Here is another resource for those interested in learning more about the Nunavut MEd program.
E-see everyone tonight at 5pm EST.
cheers
This course will become read-only in the near future. Tell us at community.p2pu.org if that is a problem.
This week we will hopefully have a guest presentation by Sandy McAuley, who has worked with Knowledge Forum (did his PhD with Scardamalia), indigenous communities, and lately also been involved in work around MOOCs. We are still waiting to confirm, but hopefully he will be able to join us at our normal meeting time on Saturday.
Therefore, I hope everyone can read the article he suggested:
McAuley, A. and Walton, F. (2011). Decolonizing cyberspace: Online support for the Nunavut MEd. IRRODL, 12, 4.
Case studies
In addition, this week we were planning to look at different case studies of tools for CSCL teaching and learning. I have added a few below, you are free to choose other ones. It would be great if you could edit this post and add your name next to which ever tool you choose. Read the article - or do your own literature search - and please blog about it (we won't have that much time to discuss this in the weekly talk). You are also free to add an article to EdutechWiki about the tool, if there isn't already one, or improve on the existing one.
Meeting
We will meet as usual, on Saturday at 5PM EST, in Etherpad.
Here is the link to Sandy McCauley's special presentation for this week.
Here is another resource for those interested in learning more about the Nunavut MEd program.
E-see everyone tonight at 5pm EST.
cheers
GIve yourself a couple days to go over this whopper - long, but I think a must-read for csclers:
Scheuer, O. et al. (2009) Computer Supported Argumentation: A review of the state of the art.
Link for WK 7 etherpad meeting: http://piratepad.net/cscl7
anyone know of any good introductory and written-in-layman's-terms articles or resources about machine learning?
I found this article a quite nice introduction to different approaches to classifying student contributions and how machine learning works. Not a literature review, more one specific case study (related to Argunaut), but pretty interesting:
Mclaren, B. M., Scheuer, O., & Miksátko, J. (2010). Supporting collaborative learning and e-discussions using artificial intelligence techniques. International Journal of Artificial Intelligence in Education. IOS Press.
My highlights here (no detailed notes yet): http://reganmian.net/wiki/ref:mclaren2010supporting
lol that's hilarious....I'm reading this article as we speak!!! (great minds think alike ;)
Thanks for the link though - looking forward to reading your notes!
I did a quick summary + short commentary on GroupScribbles as well ...
I will write about GroupScribbles, which platform do you choose to write about?
Funny that we both chose GroupScribbles. Argunaut is also pretty neat, I'd encourage someone to look at that!