[Air-L] HICSS CFP: Learning Analytics & Networked Learning

[Caroline Haythornthwaite]

Deadline is approaching for submissions to HICSS for January 2013. Here's the call for Learning Analytics & Networked Learning
See also CFP for Minitrack: Social Networking and Community sent previously.

CFP: Learning Analytics & Networked Learning
Hawaii International Conference on System Sciences (HICSS) 46,
January 7-10, 2013, Maui, HI
 
PAPERS DUE: June 15, 2012 via the HICSS conference system
http://www.hicss.hawaii.edu/hicss_46/apahome46.htm
 
http://haythorn.wordpress.com/hicss-minitracks-cfp/
 
This minitrack calls for papers that address leading edge use of technology or system design to analyze, support, and/or create learning and learning environments. The scope is wide and includes papers that use technology to examine how social learning happens, use data from learning environments to support learning processes, and examine new practices of formal and informal learning on and through the Internet. Papers that fit this minitrack fall under new and ongoing areas of learning research that may be referred to as learning analytics, networked learning, technology enhanced learning, computer-supported collaborative learning, ubiquitous learning, and mobile learning. Of particular interest are papers that capture, analyze and show novel use of data produced from online learning environments, develop and/or test methodologies for analyzing online learning, address automated data collection and analysis in support of learning, professional development and knowledge creation, and discuss issues and opportunities relating to information literacy, literacy and new media, ubiquitous learning, entrepreneurial learning and/or mobile learning.
 
We encourage research that covers system and learning theories, social learning and networking tools and their development, research methods, and/or measurable outcomes as they relate to the area of technology and its support of improving networked learning. We also encourage papers that address learning and learning communities that are created in any setting, including educational institutions, workplaces, public knowledge, personal knowledge, and/or ‘serious leisure’. Appropriate usage environments range from same-time, same-place to anytime, anywhere that increase interactions among the learners in formal and informal learning settings and mixtures thereof, and may include collectives from learning crowds to communities.
 
We envision papers that
·      address the use of automated data capture to follow and analyze learning processes
·      develop methodologies for analyzing online learning
·      develop metrics for characterizing and following learning trends online
·      test the validity of automated data for capturing a true representation of learning and knowledge creation
·      analyze and/or support the role of social networks in learning
·      report on the development and maintenance of innovative online environments for learning
·      discuss trends in learning on and through the Internet, including issues and opportunities relating to information literacy, literacy and new media, ubiquitous learning and entrepreneurial learning
·      examine economic models, trends and markets for online learning, including open source and open access models
·      examine the foundations for learning in online networks, crowds and communities
·      examine the design and facilitation of learning in online networks, crowds and communities
·      examine the validity of information and learning processes online, and trust in online information sources for learning
·      address the role of particular devices – laptops, mobiles, OLPC – in learning
·      examine trends in how we learn with and through technology – in secondary and higher education, workplaces, society, developed and underdeveloped nations
·      discuss ethical issues relating to learning online, including issues relating to data capture, analysis and display, and learning about controversial subjects or anti-social activities.
 
This minitrack -- LEARNING ANALYTICS AND NETWORKED LEARNING -- is part of the INTERNET AND DIGITAL ECONOMY track at HICSS.
 
Minitrack Organizers
 
Caroline Haythornthwaite,
University of British Columbia
c.haythorn at ubc.ca
 
Maarten de Laat,
Open University of the Netherlands
maarten.delaat at ou.nl
 
Shane Dawson,
University of British Columbia
shane.dawson at ubc.ca
 
Dan Suthers
University of Hawaii
suthers at hawaii.edu
 
 
 
ABOUT HICSS CONFERENCES
http://www.hicss.hawaii.edu/hicss_46/apahome46.htm
 
HICSS conferences are devoted to the most relevant advances in the information, computer, and system sciences, and encompass developments in both theory and practice. Accepted papers may be theoretical, conceptual, tutorial or descriptive in nature. Those selected for presentation will be included in the Conference Proceedings published by the IEEE Computer Society and maintained in the IEEE Digital Library.
 
 
How to Submit a Paper:  Follow Author Instructions posted on the conference web site: 
 
http://www.hicss.hawaii.edu/hicss_46/apahome46.htm
 
·      HICSS papers must contain original material.  They may not have been previously published, nor currently submitted elsewhere.  All submissions undergo a double-blind peer review process.
·      Abstracts are optional, but strongly recommended. You may contact the Minitrack Chair(s) for guidance or verification of content.
·      Submit a paper to only one Minitrack.  If a paper is submitted to more than one minitrack, then either paper may be rejected by either minitrack without consultation with author or other chairs. If you are not sure of the appropriate Minitrack, submit an abstract to the Track Chair(s) for determination, and/or seek informal opinion(s) of Minitrack Chair(s) before submitting.
·      Do not author or co-author more than 5 papers.  This means that an individual may be listed as author or co-author on no more than 5 submitted papers.  Track Chairs must approve any names added after submission or acceptance on August 15.
 
IMPORTANT 2012 DEADLINES FOR AUTHORS
 
·      June 15   --   SUBMIT FULL MANUSCRIPTS FOR REVIEW as instructed. The review is double-blind; therefore, this initial submission must be without author names.
·      Aug 15    -- Review System emails Acceptance Notices to authors. It is very important that at least one author of each accepted paper attend the conference. Therefore, all travel guarantees – including visa or your organization’s fiscal funding procedures – should begin immediately.  Make sure your server accepts the review system address https://precisionconference.com/~hicss.
·      Sept 15  -- SUBMIT FINAL PAPER.  Add author names to your paper, and submit your Final Paper for Publication to the site provided in your Acceptance Notice.  (This URL is not public knowledge.) 
·      Oct 1     -- Early Registration fee deadline. At least one author of each paper should register by this date in order secure publication in the Proceedings.  Fees will increase on Oct 2 and Dec 2.
·      Oct 15     -- Papers without at least one paid-in-full registered author may be deleted from the Proceedings and not scheduled for presentation; authors will be so notified by the Conference Office.
 
Cancellation and Refund Policy   All conference cancellation requests must be in writing.  A fee will be charged for cancellation of registration after Oct 15, at which time the paper is subject to withdrawal from the Proceedings.  There is no registration refund after December 1.  Cancellations for accommodations must be handled directly with the hotel.