EXTENDED Deadline: Learning Analytics and Knowledge 2012, Vancouver, BC (LAK 2012)

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* ABSTRACTS for Full Papers: October 16, 2011 (mandatory)
* FULL PAPERS: Oct 28, 2011
* All other submissions: November 13, 2011

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* *

CALL FOR PAPERS

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Learning Analytics and Knowledge 2012

Vancouver, British Columbia, Canada

29 April – 2 May 2012

http://lak12.sites.olt.ubc.ca



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We are experiencing an unprecedented explosion in the quantity and quality
of information available not only to us, but about us. We must adapt
individually, institutionally and culturally to the transition in
technologies and social norms that makes this possible, and question their
impacts. What are the implications of such data availability for learning
and knowledge building — not only in established contexts, but also in the
emerging landscape of free, open, social learning online?

Within the learning technologies research and development community, this
question has catalyzed the International Learning Analytics & Knowledge
Conference, now in its second year.

*Learning Analytics *is concerned with the collection, analysis and
reporting of data about learning in a range of contexts, including informal
learning, academic institutions, and the workplace. It informs and provides
input for action to support and enhance learning experiences, and the
success of learners.

*Learning and Knowledge Analytics 2012 *supports the emerging academic field
by connecting the community of researchers and developers, creating and
disseminating new developments and practices, studying transformations, and
providing ongoing evaluation and critique of the conceptual, technical, and
practice outcomes.

We invite submissions to the LAK 2012 conference, which will be held 29
April – 2 May 2012, in Vancouver, BC, on topics including but not limited
to:

 === TOPICS ===
*1. Conceptual & Empirical*

*         Connections between learning analytics and the learning sciences
(e.g., self-regulated learning, critical thinking, sense making and learning
analytics)

*         New models of learning enabled by analytics

*         Educational research methods and learning analytics

*         Learning analytics in relationship to other fields (e.g.,
institutional analytics; educational data mining)

*         Communicating analytics (e.g., data selection, display,
visualization, user groups)

*         Ethical considerations (e.g., privacy and ownership)

*         Learner modeling

*         The influence of analytics on designing for learning

*         The influence of analytics on delivery and support of learning

*         The study of emotion, flow, and affective data in learning
analytics

*         Validating analytics empirically

*         The limits of web analytics



*2. Technical*

*         Social network analysis

*         Cross-platform and cloud learning analytics

*         Learning environments that capture different kinds of data

*         Software development and use in analytics

*         The role of knowledge representation and ontologies in learning
analytics

*         The semantic web and linked data: meaning in connections

*         Data mining in learning analytics

*         Artificial intelligence in learning analytics

*         Internet of things (sensors) and learning applications

*         “Big Data” applications and opportunities in learning and
education

*         Latent semantic analysis/natural language processing

*         Attention metadata

*         Architecture of learning environments and implications to learning
analytics

* *

*3. Application*

*         Visualization: data, learner networks, conceptual knowledge

*         Predictive applications of data

*         Interventions based on analytics

*         Social and technical systems to manage information abundance

*         Personalization and adaptivity in the learning process

*         Corporate and higher education case studies of learning analytics

*         Learning analytics for intelligent tutoring systems

*         Open data: data access for learners

*         Harmonizing individual learning with organizational learning

*         Organizational learning and knowledge sharing models

*         Importing insights for existing analytics

*         Use of learning analytics in centralized (learning management
systems) and decentralized (personal learning environments) settings

*         Planning, deploying, and evaluating enterprise-wide learning
analytics



=== SUBMISSION CATEGORIES ===

*         *Full Papers (10 pages): *Use a full paper to share substantive
conceptual, technical and empirical contributions.

*         *Short Papers (4 pages): *Use a short paper to share preliminary
conceptual, technical and empirical contributions

*         *Design Briefing (4 pages):* Do you spend more time building
learning analytics tools than writing about them? Specifically with people
like interface designers, system architects and programmers in mind, use a
briefing to share a design concept, tool or challenge.

*         *Demonstrations (1-2 page abstract, including at least one link to
a current demo video):* A carefully planned, live demonstration of a tool is
the most engaging and informative way to show interactive software, ranging
from early prototype to robust product.

*         *Panels (up to 4 pages):* Panels provide the chance for delegates
to hear a range of speakers air a topical issue, e.g. diverse approaches to
a problem, or a debate on a hot topic. 2 pages max, including the names of
confirmed panellists. The final paper from the Panel’s chair may be up to 4
pages, including panellists’ position statements.

*         *Workshops (April 29, 2012): *provide the opportunity to explore
learning theory, analytics, methods and tools in depth. Workshops should be
designed to be interactive and may reflect for example, compilations of
short and/or enlightening presentations, demonstrations, and instructional
workshops. The length of the Workshop sessions can be a half or full day
allowing for sets of interactive activities for experience sharing and
brainstorming. Please use the workshop/tutorial
template<http://lak12.sites.olt.ubc.ca/files/2011/05/Workshop_template.docx>,
outlining the significance of the topic, the workshop format, and your track
record.

*         *Tutorials* *(also April 29, 2012):* provide the chance to take
participants deep into a specific tool or technique in which you are
experienced, or an introduction to a topic/class of tools. This could be as
short as 1 hour, to a half day. Please use the workshop/tutorial
template<http://lak12.sites.olt.ubc.ca/files/2011/05/Workshop_template.docx>for
submissions.



=== SUBMISSION AND PUBLICATION ===

LAK’11 proceedings have been accepted for publication in the ACM Digital
Library International Conference Proceedings
Series<http://www.acm.org/publications/panel/icp_series>and we expect
LAK’12 to be confirmed shortly, following the granting of
*ACM In-Cooperation status* to the conference. There are over 34,000
individual subscribers to the Digital Library, and over 2,800 library
subscriptions. This guarantees that the proceedings will be available to the
widest possible audience of computing professionals. ACM has an
enlightened copyright
policy <http://www.acm.org/publications/policies/copyright_policy#Retained>:
authors may self-archive their own papers as freely available eprints, as
long as they carry the specified ACM statement.

All papers should be formatted using the ACM two-column style:
http://www.acm.org/sigs/publications/proceedings-templates

Please submit papers through the *EasyChair* conference system:
http://www.easychair.org/conferences/?conf=lak2012



=== SUBMISSION DATES ===

*        Abstract Submission for Full Papers: October 16, 2011 (mandatory)

*        Full Paper Submission: October 28, 2011

*        All other submissions: November 13, 2011

*        Notification of acceptance: December 15 2011

*        Camera ready versions: January 15, 2012

*        Early bird-registration deadline: February 15, 2012

*        Conference tutorials and workshops: April 29, 2012

*        Main conference: April 30 – May 2, 2012



=== CONFERENCE ORGANISATION ===

*        *Conference Chairs*:  Shane Dawson, Caroline Haythornthwaite

*        *Program Chairs*: Dragan Gasevic, Simon Buckingham Shum

*        *Steering Committee*:*  *Linda Baer, Ryan Baker, John Campbell,
Gráinne Conole, Dave Cormier, Maarten de Laat, Jon Dron, Erik Duval, Tony
Hirst, Michael Kouritzin, Cyprien Lomas, Phil Long, George Siemens, Martin
Weller, David Wiley, Martin Wolpers

*        *Program Committee*: Ahmad Ammari, Ebrahim Bagheri, Peter
Brusilovsky, Kenneth Chung, Doug Clow, Gráinne Conole, Anna De Liddo, Stefan
Dietze, Erik Duval, Rebecca Ferguson, Tiong Goh, Sabine Graf, Marek Hatala,
Nicola Henze, Jelena Jovanovic, Kinshuk, Ralf Klamma, Maarten De Laat,
Stefanie Lindstaedt, Allison Littlejohn, Lori Lockyer, Phillip Long, Leah
Macfadyen, Riccardo Mazza, Patrick McAndrew, Gordon McCalla, Agathe
Merceron, Tanja Mitrovic, Jad Najjar, Roger Nkambou, Xavier Ochoa, Kai Pata,
Cristobal Romero, Ryan S. J. D. Baker, Demetrios Sampson, Andreas Schmidt,
Hans-Christian Schmitz, Miguel-Angel Sicilia, George Siemens, Marcus Specht,
Katrien Verbert, Martin Weller, David Wiley, Kalina Yacef, Amal Zouaq.

Received on Wednesday, 12 October 2011 13:45:12 UTC