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LAK 2014 - The 4th International Conference on Learning Analytics & Knowledge

Date2014-03-24 - 2014-03-28


VenueIndiana, USA - United States USA - United States



Topics/Call fo 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 now
in its fourth year! LAK 14 will keep up the momentum generated in the earlier
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 “perfect storm” for making analytics
vitally important for supporting learning in our information age. Not only do
we know more about the basic processes involved in learning, the explosion of
online technology platforms and services provide new opportunities for learning
and generate new forms of data about those processes. Coupled with increasing
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 “The City at the Crossroads of America.” Accordingly,
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 work
relevant to improving learning for people of all ages, leverage the
technologies available to today’s learners, and scalable within the many places
where learning occurs. To accomplish these goals, we seek theoretically
motivated papers that utilize analytics to provide direction for understanding
and supporting learning.
LAK 2014 is seeking contributions in a wide variety of topics. The overarching
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 analytics. 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, capacity building, etc. These topics can be studied in a
variety of learning scenarios whether: formal or informal; face-to-face,
blended, or online settings. Proposals are welcome 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 few.
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 except
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 "best
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
will 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.
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, Center 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
Social Media Chair
- Sean Goggins, Drexel University
Webmaser 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

Last modified: 2013-06-24 22:58:30