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Fri, 14 Feb 2014 11:07:35 -0000
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Apologies for Cross-posting

 

Call for participation: 

ICLS Workshop on Learning Analytics for Learning and Becoming in Practice.
<http://events.kmi.open.ac.uk/icls-analytics/>
http://events.kmi.open.ac.uk/icls-analytics/ 

 

A Workshop at the International Conference of the Learning Sciences 2014

Submissions due March 28th, Notification of acceptance will be sent out
before May 1st (in time for early registration reduction).

Workshop held Full Day, Monday June 23, Boulder, Colorado, USA

 

ORGANIZERS

Simon Knight and Simon Buckingham Shum, Open University, UK

Alyssa Friend Wise, Simon Fraser University, CA

David Williamson Shaffer, Wesley Collier and Golnaz Arastoopour, University
of Wisconsin-Madison, US

Paul A. Kirschner, Open University, NL

 

CONTACT INFORMATION

Simon Knight  <mailto:[log in to unmask]> [log in to unmask] 

 

WORKSHOP CONTENT

Learning Analytics sits at the intersection of the learning sciences and
computational data capture and analysis. Analytics should be grounded in the
existing literature with a view to data 'geology' over 'mining'. This
workshop explores how analytics may extend the common notion of activity
trace data from processes to encompass practices, with a working distinction
for discussion as:

.         Process - series of related actions engaged in as part of learning
activities

.         Practice - repertoire of processes organised around particular
foci recognised within a social group

The workshop intersperses attendee presentations/demos with relevant
theme-based discussions.

 

PARTICIPATION PROCEDURE

We're looking for contributions that advance our understanding of the
challenges related to using activity trace data to document learning
practices.  We invite short papers (<4 pages) and demonstrations; accepted
submissions will receive short (<10 minute) presentation slots in the
workshop. All accepted papers should describe: learning analytics used; the
theoretical base/learning science concepts and frameworks drawn on; how
their work uses data traces to generate evidence of processes, practices or
both; their contribution and/or further areas for discussion.  We welcome a
variety of papers, including:

.         Conceptual/theoretical papers might establish a framework for
thinking about practice in the context of learning analytics, perhaps
providing conceptual analysis of distinctions between practice and process,
or the kinds of data and data sources which might be productive in such
analysis

.         Empirical papers might report learning analytics research agendas
taking practices as their object of analysis

.         Technical papers might survey and explain why particular
computational techniques and tools may be of particular relevance to
practice-based analytics or report a specific tool's development

.         Demonstrations will provide motivations for particular systems and
ideally link to a demo movie or live demonstration that enables reviewers to
see a version in action. We are particularly keen to see submissions for
live demos which will receive a slot in the afternoon session.

 

Papers should use the conference template, and be emailed to Simon Knight
<mailto:[log in to unmask]> [log in to unmask] with the subject line:
ICLS14 Workshop.

Submissions should be made by March 28th

 

IMPORTANT DATES

Submission Deadline March 28th

Notifications late April (in time for early-registration discount)

Workshop Date June 23rd 2014, Full day workshop

 

ICLS Workshop on Learning Analytics for Learning and Becoming in Practice.
<http://events.kmi.open.ac.uk/icls-analytics/>
http://events.kmi.open.ac.uk/icls-analytics/ 


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