CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Bev Woolf <[log in to unmask]>
Reply To:
Bev Woolf <[log in to unmask]>
Date:
Thu, 16 Oct 2014 16:11:04 -0400
Content-Type:
text/plain
Parts/Attachments:
text/plain (107 lines)
Learning At Scale 2015 

					NOTE:  SUBMISSION DATE EXTENDED TO OCT 29, 2014

On behalf of the Learning At Scale 2015 Program Committee, I'd like to remind you that the opportunity to submit a paper to the conference is coming up very soon.  The conference 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)

 

*Important dates*   

Oct 29, 2014 - full paper submissions due  (NOTE: Extended by 1 week!)  

Jan 8, 2015 - posters / work-in-progress submissions due.  

March 14-15, 2015 - conference in Vancouver, BC 

Conference website:  http://learningatscale.acm.org/las2015/

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 group 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 proceeding



    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2