On behalf of the Learning At Scale Program Committee, I'd like to
invite you to submit a paper to the conference. It will be held in Vancouver, BC in association with the Computer-Supported Cooperative Work (CSCW) conference during March 14-15, 2015.
Please consider sending us your best work having to do
with Learning At Scale!
-- Dan Russell (with co-chairs Bev Woolf and General Chair Gregor
Kiczales)
For complete details: http://learningatscale.acm.or
* Learning at Scale 2015 CFP: *
We solicit rigorous research on methodologies, studies, analyses,
tools, or technologies for learning at scale.
Topics include, but not limited to:
* Usability studies and effectiveness studies of designs of user
interface elements for students or instructors, including:
Discussion forums
Status indicators of student progress
Status indicators of instructor effectiveness
Instructional video design for MOOCs
Tools and pedagogy to promote community or increase retention in
MOOCs and large-scale in-person courses
* Log analysis of student behavior, e.g.:
Assessing reasons for student outcome as determined by
modifying tool design
Modeling students based on responses to variations in tool design
Data-driven personalization
Evaluation strategies such as quiz design
* Studies of applications of existing learning theory to the MOOC
context (peer learning, project based learning, etc.)
* Large online learning in the developing world
* New tools and techniques for learning at scale, including:
Games for learning at scale
Automated feedback tools (for essay writing, programming, etc)
Automated grading tools
* Investigation of observable student behaviors and their correlation
if any with learning outcomes, e.g.:
Analyses of discussion forums to see if quantity and
quality correlate with learning
How to motivate students to post on forums
Do lurkers (those who don't post) learn as much as those who
post?
What are the roles of leaders in student groups and in those
interactions/discussions?
* Improvements to learning, community, and pedagogy in large-scale
in-person and blended online and in-person courses
All papers must tackle topics "at scale." For example, a paper that
would not qualify for Learning at Scale would be one about a system that
behaves no differently with one student than with thousands, or which does not improve after being exposed to data from previous use by many
students.
Full papers must not exceed 10 pages (and shorter is OK) and must use
the ACM CHI Archive Format, available in latex and Word. (PDF example.
Latex format template. MS Word format template. Please do not use tiny
fonts for references.)
Papers that deviate from this style or exceed the maximum length will
be rejected. Submissions must be in PDF format, written in English,
contain original work and not be under review for any other venue while under review for this conference. (For further guidelines, please check the Learning At Scale website.) Submissions should also be anonymized
(but for the sake of readability by the reviewers, authors need not redact references to their own works.
Accepted full papers will be allotted 20 minutes for presentation.
Some papers that are good but not strong enough to be full papers may be
allotted fewer pages and assigned 10 minutes for presentation, or may
be recommended for poster presentation. The authors can choose whether
to accept this condition or withdraw the submission. These papers will
all appear in the conference proceedings.
No comments:
Post a Comment