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From:
Marti Hearst <[log in to unmask]>
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Marti Hearst <[log in to unmask]>
Date:
Thu, 18 Jul 2013 15:12:59 -0400
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Announcing the ACM Conference on Learning at Scale (Learning@Scale)

Full papers due November 8, 2013 —  Posters and demos due January 2, 2014

Researchers are invited to submit papers to the first annual meeting of the ACM Conference on Learning at Scale, to be held March 4-5, 2014 in Atlanta, GA, USA.  This conference is intended to promote scientific exchange of interdisciplinary research at the intersection of the learning sciences and computer science.  Inspired by the emergence of Massive Open Online Courses (MOOCs) and the accompanying huge shift in thinking about education, this conference was created by ACM as a new scholarly venue and key focal point for the review and presentation of the highest quality research on how learning and teaching can change and improve when done at scale.

“Learning at Scale” refers to new approaches for students to learn and for teachers to teach, when engaging large numbers of students, either in a face-to-face setting or remotely, whether synchronous or asynchronous, with the requirement that the techniques involve large numbers of students (where “large” is preferably thousands of students, but can also apply to hundreds in in-person settings).  Topics include, but are not limited to: Usability Studies, Tools for Automated Feedback and Grading, Analysis of Log Data, Studies of Application of Existing Learning Theory, Investigation of Student Behavior and Correlation with Learning Outcomes, New Learning and Teaching Techniques at Scale, Blended Learning at Scale.

ACM Learning at Scale 2014 is the first in a new conference series.  All full papers accepted will be published in the ACM Digital Library as archival publications.  While we encourage visionary and forward-looking papers, please only submit your best novel work. The full paper track will not accept work recently published or soon to be published in another conference or journal. However, to encourage exchange of ideas, such work can be submitted to the non-archival work-in-progress and demo track.

Learning at Scale 2014 will be co-located with SIGCSE 2014 (the annual Technical Symposium of the ACM Special Interest Group on Computer Science Education) in Atlanta, Georgia, USA.

Program chairs:
Armando Fox (UC Berkeley) ; Michelene T. Chi (Arizona State University); Marti Hearst (UC Berkeley)

Program committee: 
Russell Almond (Florida State University)
Ryan Baker (Columbia University)
Ed Chi (Google)
Ed Cutrell (Microsoft Research India)
Pierre Dillenbourg (EPFL)
Doug Fisher (Vanderbilt University)
Ken Goldberg (UC Berkeley)
Art Graesser (U Memphis/Oxford U)
Jonathan Grudin (Microsoft Research USA)
Sumit Gulwani (Microsoft Research USA)
Bjoern Hartmann (UC Berkeley)
Neil Heffernan (Worcester Polytechnic Institute)
Chris Hoadley (New York University)
Dave Karger (MIT)
Marcia Linn (UCB)
Christoph Mein (Hasso-Plattner-Institut)
Rob Miller (MIT)
John Mitchell (Stanford University)
Zach Pardos (UC Berkeley)
David Pritchard (MIT)
Jeremy Roschelle (SRI)
Carolyn Rose (Carnegie Mellon University)
Dan Russell (Google)
Mehran Sahami (Stanford University)
Patti Schank (SRI)
Dan Schwartz (Stanford University)
Karen Swan (U Illinois, Springfield)

More Information: http://learningatscale.acm.org

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