Learning Analytics

在 2011年11月14日 PM 07:12，Dan Suthers <suthers@hawaii.edu> 寫道：

Dear Colleagues,

A workshop on Learning Analytics will be held at the 45th Hawaii
International Conference on 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 (gsiemens@gmail.com) and Dan Suthers
(suthers@hawaii.edu) 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
(gsiemens@gmail.com) and Dan Suthers (suthers@hawaii.edu) 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: suthers@hawaii.edu

George Siemens
Researcher, Technology Enhanced Knowledge Research Institute
Athabasca University
Email: gsiemens@gmail.com

Caroline Haythornthwaite
Director and Professor
School of Library, Archival & Information Studies
University of British Columbia
Email: c.haythorn@ubc.ca

Maarten de Laat
Director, Networked Learning Program,
Management Ruud de Moor Centre,
Open University of the Netherlands
Email: maarten.delaat@ou.nl

Erik Duval
Professor, Computer Science
Katholieke Universiteit Leuven
Email: Erik.Duval@cs.kuleuven.ac.be

Shane Dawson
Director, Arts Instructional Support and Information Technology
University of British Columbia
Email: sdawson@exchange.ubc.ca

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