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Subject:
From:
Elvira Popescu <[log in to unmask]>
Reply To:
Elvira Popescu <[log in to unmask]>
Date:
Wed, 1 Oct 2014 17:30:22 +0300
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[Apologies for multiple postings]


*********************************************************************

CALL FOR PAPERS

Special Issue of IEEE Multimedia

Social Media for Ubiquitous Learning and Adaptive Tutoring

http://www.computer.org/portal/web/computingnow/mmcfp1


*********************************************************************


AIMS

The rapid growth of social media has led to an increasing number of social
media services, such as Facebook, Second Life, Twitter, and WhatsApp.
These tools facilitate a socially connected Web, where everyone can
interact with each other, create online communities, and share multimedia
content. With this social and participatory Web,  users are not just
content consumers but also content producers, often in a collaborative
manner. At the same time, with the fast-growing popularity of Massively
Open Online Courses (MOOCs) that have emerged from the convergence of
distance education and the increasing accessibility of the Internet,
university education may reach virtually unlimited number of learners
throughout the world. Thus, effectively improving the use of such
educational resources by relying on social media services becomes an
interesting and important issue for learners, tutors, and courseware
providers.


TOPICS

In this special issue, we solicit high quality papers that cover the
technical issues and systems that apply social media services to
ubiquitous learning and/or adaptive tutoring. We are also interested in
papers that provide an overview and discuss future directions of
social-media-enabled learning and tutoring services. The topics of
interest include, but are not limited to:

* Ubiquitous learning with social media technologies
* Adaptive and intelligent tutoring with social media services
* Courseware engineering with social media
* Web 2.0 technologies for multimedia learning and tutoring
* Collaborative learning in social networks
* Game-based learning through social media
* Personalized learning within social networks
* Social learning environments
* Social networks analysis and mining to support multimedia learning
* Multimedia content processing in social learning environments
* Multimedia-enabled learning in social networks
* Multimedia question-answering services
* Mobile social learning environments


PAPER SUBMISSION

All submissions must contain original, previously unpublished research or
engineering work. Papers must stay within the following limits: maximum of
6,500 words, 12 total combined figures and tables with each figure
counting as 200 words toward the total word count, and 18 references.
Papers must be prepared according to the author instructions available at:
http://www.computer.org/multimedia/author.htm.

Manuscripts should be submitted electronically through the online IEEE
manuscript submission system at https://mc.manuscriptcentral.com/mm-cs.
When uploading a paper, authors should click on "Special Issue on Social
Media for Ubiquitous Learning and Adaptive Tutoring." Please email
[log in to unmask] with questions regarding the submission system.

All papers will undergo a blind peer review by at least two expert
reviewers to ensure a high standard of quality. Referees will consider
originality, significance, technical soundness, clarity of exposition, and
relevance to the special issue topics.


DEADLINES

Full paper submission: February 1, 2015
Completion of first review: April 15, 2015
Revisions due: May 31, 2015
Final decision: July 25, 2015
Final versions due: September 25, 2015


GUEST EDITORS

* Qing Li, City University of Hong Kong, [log in to unmask]
* Rynson W.H. Lau, City University of Hong Kong, [log in to unmask]
* Elvira Popescu, University of Craiova, [log in to unmask]


QUESTIONS?

* For more information about the special issue focus, contact the guest
editors.
* For general author guidelines, see www.computer.org/multimedia/author. *
For submission details, email [log in to unmask]
* To submit an article, visit https://mc.manuscriptcentral.com/mm-cs and
click on "Social Media for Ubiquitous Learning and Adaptive Tutoring."

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