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CHI-ANNOUNCEMENTS  January 2011, Week 3

CHI-ANNOUNCEMENTS January 2011, Week 3

Subject:

CFP: Connecting Levels of Learning in Networked Communities (CSCL 2011 workshop)

From:

"Daniel D. Suthers" <[log in to unmask]>

Reply-To:

Daniel D. Suthers

Date:

Mon, 17 Jan 2011 00:36:53 -1000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (138 lines)

Call for Participation:

CONNECTING LEVELS OF LEARNING IN NETWORKED COMMUNITIES

A workshop held in conjunction with the 9th International 
Conference on Computer Supported Collaborative Learning

July 4-8, 2011, The University of Hong Kong, Hong Kong, China
(Workshop to be held Tuesday July 5th)

This workshop is for researchers in CSCL and related fields who 
seek to understand how learning takes place in the interplay 
between individual, small group and collective (community or 
networked) levels of activity in "online" or Information and 
Communication Technology-mediated settings. We will address 
concomitant questions concerning how theories at multiple levels of 
analysis articulate with each other or explain phenomena across 
levels, and how methods for local analysis (e.g., process oriented 
microanalysis) can be coordinated with methods for global analysis 
(e.g., structural social network analysis). Examples of relevant 
research questions include:

* How does learning takes place through the interplay between 
individual and collective agency?
* How are local phenomena (individual and small group activity) 
aggregated (e.g., via stigmergy) to lead to emergent phenomena that 
create resources, contexts, or value that are then available for 
individual and small group learning?
* How are advances in community knowledge (knowledge building) 
driven by local activity?

The workshop will examine theoretical and methodological approaches 
to these questions in conjunction with each other, for example:
* Do the different levels of analysis need different theories that 
then must be articulated with each other?
* Are there theoretical perspectives that themselves bridge the 
levels of analysis?
* How can (for example) sequential analysis of interaction, content 
analysis and social network analysis be coordinated to address 
these issues?
* How can we use aggregate levels of analysis to figure out where 
to "dive in" for local analysis, for example to make sense of 
results at the aggregate community level, or to find local sources 
of innovation?
* What practical techniques such as different forms of 
triangulation or visualization techniques help connect the 
different levels of analysis?

FORMAT AND ROLES

This will be a one day workshop. It will include framing 
presentations by organizers and, according to the submissions we 
receive, analyses of shared data corpora by several analysts, and 
small group and full group discussion of related topics. Potential 
participants may request one of the following roles:

Data Presenter/Analysts: Researchers who have a corpus that 
potentially illustrates learning phenomena at multiple levels and 
can make it available to other workshop participants in advance. 
They will summarize the data (setting, how collected, etc.) and 
present their own multi-level analysis.

Analyst: Researchers who have approaches to analyzing learning at 
multiple levels who will be given access to the data and conduct 
their own analyses for presentation in the workshop.

Discussant: Researchers who have theoretical and/or methodological 
orientations that might inform the question of connecting levels of 
analysis, and are asked to comment on what we learn from the above 
analyses.

Concept Presenters: Participants who are not prepared or not 
selected to play the above roles but who have some concept at 
theoretical or methodological levels that organizers judge to be of 
potential value. They may be asked to give brief presentations.

Basic Participants: Persons with an interest in the topic but who 
are not prepared or not selected to play the above roles. They will 
be welcome to participate in all open discussion.

APPLYING FOR PARTICIPATION

All interested researchers should submit up to two pages 
summarizing their relevant prior experience, their objectives in 
participating in this workshop, and a bibliography of relevant 
publications or an URL providing further information on the 
researcher's work. The abstract should indicate which of the types 
of participation discussed above is requested: Data 
presenter/analyst, Analyst, Discussant, brief Concept presentation, 
or Basic participation. Those who propose Concept Presentations 
should submit one additional page on a concept that can be 
presented in 5-10 minutes. Researchers who wish to be selected as 
Analyst or Discussant should submit up to two pages characterizing 
their theoretical and/or methodological approach to connecting 
levels of learning. Potential Data Presenters should meet the 
requirement for Analyst and also submit up to two pages summarizing 
the nature of the corpus and making the case that this data will 
serve the objectives of the workshop. Data Presenters are 
encouraged to contact organizers in advance to discuss the corpus.

Send applications (PDF preferred, but other common document formats 
are acceptable) to Dan Suthers [log in to unmask] and Chris Teplovs 
[log in to unmask] Submit by February 21, 2011 for priority 
consideration. (Late applications will be considered on a 
space-available basis.) Acceptance decisions will be sent out by 
March 15, 2011. Data Presenters will be expected to provide data to 
Analysts by April 15, 2011.




_________________
Daniel D. Suthers

Dept. of Information and Computer Sciences
University of Hawai'i at Manoa
1680 East West Road, POST 309
Honolulu, HI 96822 USA
(808) 956-3890 voice  <-- When requiring action within few days
(808) 741-5686 mobile <-- For issues requiring immediate action
(808) 956-3548 fax
mailto:[log in to unmask] <-- May require a week or two to read

Chair, Communication and Information Sciences PhD Program
  http://www.hawaii.edu/cis/
Professor, Department of Information and Computer Sciences
  http://www.ics.hawaii.edu/
Laboratory for Interactive Learning Technologies
  http://lilt.ics.hawaii.edu/
Assoc. Editor, Int. J. Computer Supported Collaborative Learning
  http://ijcscl.org/

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