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Subject:
From:
Dan Suthers <[log in to unmask]>
Reply To:
Dan Suthers <[log in to unmask]>
Date:
Mon, 14 Nov 2011 01:10:06 -1000
Content-Type:
text/plain
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Dear Colleagues,

A workshop on Learning Analytics will be held at the 45th Hawaii 
International Conference of the System Sciences, January 4-7, 2012, 
Grand Wailea, Maui 
<http://www.hicss.hawaii.edu/hicss_45/apahome45.htm>. Learning 
analytics is the measurement, collection, analysis and reporting of 
data about learners and their contexts, for purposes of understanding 
and optimizing learning and the environments in which it occurs. All 
interested participants are welcome. The workshop format will be 
developed based on forms of participation that you propose. 
Submissions should be sent to the lead workshop organizers, George 
Siemens ([log in to unmask]) and Dan Suthers ([log in to unmask]) by 
November 30, 2011.

Details follow (also available in PDF at 
<http://www.hicss.hawaii.edu/hicss_45/45swt/WS/Learning-Analytics-Web.pdf>)

Learning analytics is the measurement, collection, analysis and 
reporting of data about learners and their contexts, for purposes of 
understanding and optimizing learning and the environments in which 
it occurs.

Advances in knowledge modeling and representation, the semantic web, 
data mining, analytics, and open data form a foundation for new 
models of knowledge development and analysis. The technical 
complexity of this nascent field is paralleled by a transition within 
the full spectrum of learning (education, work place learning, 
informal learning) to social, networked learning. These technical, 
pedagogical, and social domains must be brought into dialogue with 
each other to ensure that interventions and organizational systems 
serve the needs of all stakeholders.

This workshop will focus on online or technology mediated settings in 
which learner interaction data can be collected automatically. The 
growth of this kind of data currently surpasses the ability of 
organizations to make sense of it. This concern is particularly 
pronounced in relation to knowledge, teaching, and learning in 
educational, work place, and informal settings. Learning institutions 
and corporations make little use of the data learners generate in the 
process of accessing learning materials, interacting with educators 
and peers, and creating new content. Tools that build on theoretical 
and methodological principles of learning analytics, and that harness 
the rapidly emerging developments in analytics in general, promise 
important applications in educational planning, whether for change at 
course and institutional levels, or for generating insights for the 
learning sciences. Such applications also extend beyond educational 
institutions as corporations face pressure for increased 
competitiveness and productivity, a challenge that requires important 
contributions in organizational capacity building from workplace, 
formal, informal, and non-formal learning. Also, as we witness the 
expansion of learning and knowledge work beyond formal institutional 
boundaries onto the Internet, we will also find that myriad platforms 
in the cloud that host learning activity by individuals as a core or 
side consideration will be able to make use of learning analytics 
applications and ideas.

This will be a "working-shop", not a mini-conference of paper 
presentations. We will begin with introductions and two or three 
presentations that frame the emerging area of Learning Analytics. The 
rest of the day will include brief presentations on key issues and 
substantial opportunities for panel, full group and small group 
discussion. The final format and schedule will be determined based on 
participant proposals. Our objective is twofold: 1) to recruit 
members of the HICSS community to this new international community 
initiative, and 2) to further identify and organize research strands 
around which future collaborations might form. The workshop will also 
prepare participants for the Learning Analytics & Networked Learning 
minitrack and related minitracks, in terms of both content and 
familiarity with each other.

All interested participants are welcome. We ask participants to 
prepare a 1-page paper summarizing their backgrounds and interests in 
attending this workshop. Optionally, a second separate page may be 
added to propose activities participants would like to engage in at 
the workshop, and their role in these activities. Submissions should 
be sent to the lead workshop organizers, George Siemens 
([log in to unmask]) and Dan Suthers ([log in to unmask]) by November 
30, 2011. The background/interest pages will be circulated to all 
participants at the workshop, and used to frame presentations and 
discussions.

Workshop Organizers:

Dan Suthers
Professor, Department of Information and Computer Sciences
University of Hawai'i at Manoa
(808) 956-3890 voice
(808) 956-3548 fax
Email: [log in to unmask]

George Siemens
Researcher, Technology Enhanced Knowledge Research Institute
Athabasca University
Email: [log in to unmask]

Caroline Haythornthwaite
Director and Professor
School of Library, Archival & Information Studies
University of British Columbia
Email: [log in to unmask]

Maarten de Laat
Director, Networked Learning Program,
Management Ruud de Moor Centre,
Open University of the Netherlands
Email: [log in to unmask]

Erik Duval
Professor, Computer Science
Katholieke Universiteit Leuven
Email: [log in to unmask]

Shane Dawson
Director, Arts Instructional Support and Information Technology
University of British Columbia
Email: [log in to unmask]


_________________
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
http://www2.hawaii.edu/~suthers/

Professor, Department of Information and Computer Sciences
  http://www.ics.hawaii.edu/
PI, 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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