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LAK 2014 : 4th International Learning Analytics and Knowledge


Conference Series : Learning Analytics and Knowledge
When Mar 24, 2014 - Mar 28, 2014
Where Indianapolis
Submission Deadline Oct 21, 2013
Notification Due Dec 16, 2013
Final Version Due Feb 3, 2014
Categories    educational data mining   learning   knowledge

Call For Papers

LAK 2014.
The 4th International Conference on Learning Analytics & Knowledge
24-28 March 2014, Indianapolis, Indiana, USA

Conference theme: Intersection of learning analytics research, theory and
practice The International Learning Analytics and Knowledge conference is
in its fourth year! LAK 14 will keep up the momentum generated in the
meetings as we continue to define who we are as a community and how our
research can inform the important decisions facing education today. We are
experiencing conditions that create a łperfect storm˛ for making analytics
vitally important for supporting learning in our information age. Not only
we know more about the basic processes involved in learning, the explosion
online technology platforms and services provide new opportunities for
and generate new forms of data about those processes. Coupled with
societal demands to make learning more accessible and effective for all, we
need scholarly research to ensure that advances in learning technologies and
practices benefit society as a whole. Advances in analytics, data mining and
data visualization promise a way forward for making sense of the massive
amounts of data available so that we can thoughtfully inform learners,
educators, and policy makers. The location for the conference this year,
Indianapolis, is called łThe City at the Crossroads of America.˛
the theme for LAK 14 focuses on the crossroads, or intersection, of basic
research on learning, learning theory, and educational practice. We invite
papers that address at least one of these foci, but especially encourage
submissions that demonstrate how they fit together in ways that make our
relevant to improving learning for people of all ages, leverage the
technologies available to todayąs learners, and scalable within the many
where learning occurs. To accomplish these goals, we seek theoretically
motivated papers that utilize analytics to provide direction for
and supporting learning.


LAK 2014 is seeking contributions in a wide variety of topics. The
topic is how data can be used to improve any aspect of a learning
experience. As a guidance, the conference will consider any of the following
topics (authors are strongly encouraged to read the instructions on the
conference web site):

- Analytic approaches, methods, and tools for sense-making in learning

- Theories and theoretical concepts for understanding learning. Measures of
learning, change and Success.

- Learning activities, applications, and interventions.

- Issues in learning analytics such as ethics, cultural transitions,
building, etc.

These topics can be studied in a variety of learning scenarios whether:
or informal; face-to-face, blended, or online settings. Proposals are
from any various application domains be it primary and secondary schools,
higher education, corporate workplace or learning in governmental, military,
health or commercial situations. Focus may be on distance or graduate
education, mobile and ubiquitous learning, online communities, to name a


The conference accepts the following type of submissions:

- Full papers: 10 pages.
- Short papers: 5 pages.
- Panel proposals: 4 pages plus 2 separated pages with information about the
confirmed panelists.
- Workshop proposals: 2 pages.
- Tutorial proposals: 2 pages (will not be included in the proceedings).
- Tool demonstrations: 2 pages.
- Posters: 2 pages.

All documents must follow the ACM Proceedings Format. Please check the
conference website for detailed author instructions for each type of
submission. Submissions will be received and processed with EasyChair. The
conference proceedings will include all accepted conference submissions
tutorial proposals and workshop papers. The conference will also include a
doctoral consortium, the details of which will be available soon.


The three full papers that obtain the highest scores from the reviewers
will be
"nominees for the best paper award". A committee composed by the program
chairs of the current and past edition of the conference will choose the
paper award" among the nominees. Both the nominees and the best paper award
will be reflected in the proceedings.


- 21 October 2013: Deadline for full/short papers, panel proposals, workshop
proposals, tutorial proposals, demonstrations and posters (no extension
be considered).

- 11 November 2013: Notification of acceptance for workshop and tutorial

- 16 December 2013: Notification of acceptance for full/short papers, panel
proposals, demonstrations and posters.

- 3 February 2014: Final version of accepted papers due.

- 24-28 March 2014: Conference.


- Dr. Art Graesser, University of Memphis, TN, USA
- Dr. Nancy Law, University of Hong Kong
- Dr. Scott Klemmer, University of California, San Diego, USA


Society for Learning Analytics Research (SoLAR) -

General Chairs

- Matthew Pistilli, Purdue University, IN, USA
- James Willis, Purdue University, IN, USA
- Drew Koch, John N. Gardner Institute for Excellence in Undergraduate
Education, NC, USA
- Kimberly Arnold, University of Wisconsin-Madison, WI, USA

Program Chairs

- Stephanie Teasley, University of Michigan, MI, USA
- Abelardo Pardo, The University of Sydney, Australia

Workshops and Tutorials Chairs

- Kalina Yacef, The University of Sydney, Australia
- Hendrik Drachsler, Centre for Learning Sciences and Technologies, Open
University Netherlands

Demonstrations and Posters Chairs

- Zach Pardos, Massachusetts Institute of Technology, MA, USA
- Anna de Liddo, The Open University, UK

Doctoral Consortium

- Alyssa Wise, Simon Fraser University, Canada
- Chris Quintana, University of Michigan, MI, USA
- Katherine Maillet, Institut Telecom Sudparis, France

Social Media Chair

- Sean Goggins, Drexel University

Webmaster Chair

- Krista Galyen, University of Missouri, MO, USA

Publicity Chairs

- Jenni Swenson, Lake Superior College, MN, USA
- Tricia Leggett, Zane State College, OH, USA

Local Chair

- James Willis, Purdue University, IN, USA

Volunteers Chair

- Victor Borden, Indiana University, IN, USA

Program Committee
Ebrahim Bagheri, Ryerson University
Christopher Brooks, University of Saskatchewan
Peter Brusilovsky, University of Pittsburgh
Simon Buckingham Shum, Knowledge Media Institute, The Open University
Cristian Cechinel, UFPel - Federal University of Pelotas
Ming Chiu, University at Buffalo - SUNY
Kon Shing Kenneth Chung, Complex Systems Research Group, Project Management
Program, The University of Sydney
Shane Dawson, University of South Australia
Maarten De Laat, Open University of The Netherlands
Michel Desmarais, Ecole Polytechnique de Montreal
Stefan Dietze, L3S Research Center
Yannis Dimitriadis, University of Valladolid
Erik Duval, Departement Computerwetenschappen, K.U.Leuven
Gregory Dyke, Université de Lyon
Rebecca Ferguson, The Open University
Dragan Gasevic, Athabasca University
Janice Gobert, WPI
Sabine Graf, Athabasca University
Marek Hatala, Simon Fraser University
Caroline Haythornthwaite, University of British Columbia
Eelco Herder, L3S Research Center
Ulrich Hoppe, University Duisburg-Essen
Zoran Jeremic, Ryerson University, Toronto
Jelena Jovanovic, University of Belgrade
Judy Kay, University of Sydney
Kinshuk, Athabasca University, Canada
Paul Kirschner, Open Universiteit Nederland
Ralf Klamma, RWTH Aachen University
Joris Klerkx, Katholieke Universiteit Leuven
Nancy Law, University of Hong Kong
Stefanie Lindstaedt, Graz University of Technology & Know-Center
Lori Lockyer, Macquarie University
Phillip Long, Centre for Educational Innovation & Technology, University of
Leah Macfadyen, The University of British Columbia
Katherine Maillet, Institut Telecom Sudparis
Taylor Martin, Utah State University
Alejandra Martínez, University of Valladolid, Spain
Riccardo Mazza, University of Lugano/University of applied sciences of
southern Switzerland
Gordon McCalla, University of Saskatchewan
Agathe Merceron, Beuth University of Applied Sciences Berlin
Negin Mirriahi, University of New South Wales, Australia
Tanja Mitrovic, Intelligent Computer Tutoring Group, University of
Canterbury, Christchurch
Jad Najjar, Eummena & AL-Quds
Xavier Ochoa, Escuela Superior Politécnica del Litoral
Peter Reimann, The University of Sydney
Cristobal Romero, Department of Computer Sciences and Numerical Analysis
Carolyn Rose, Carnegie Mellon University
Ryan S.J.D. Baker, Columbia University Teachers College
Demetrios Sampson, Univ of Piraeus & CERTH
Andreas Schmidt, Karlsruhe University of Applied Sciences
Hans-Christian Schmitz, IDS Mannheim
Bruce Sherin, Northwestern University
Miguel-Angel Sicilia, University of Alcalá
George Siemens, Athabasca University
Marcus Specht, Open University of the Nethderlands
John Stamper, Carnegie Mellon University
Daniel Suthers, University of Hawaii
Stefan Trausan-Matu, Politehnica University of Bucharest
Katrien Verbert, Technische Universiteit Einhoven
John Whitmer, California State University
Alyssa Wise, Simon Fraser University
Marcelo Worsley, Stanford University
Michael Yudelson, Carnegie Learning, Inc.
Amal Zouaq, Royal Military College of Canada

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