Social Media for Ubiquitous Learning and Adaptive Tutoring
Submission deadline: 1 February 2015
Publication: January–March 2016
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 numbers 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.
IEEE MultiMedia is seeking 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 interests 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, and
- mobile social learning environments.
- Qing Li, City University of Hong Kong, email@example.com
- Rynson W.H. Lau, City University of Hong Kong, firstname.lastname@example.org
- Elvira Popescu, University of Craiova, email@example.com
- 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 firstname.lastname@example.org.
- To submit an article, visit https://mc.manuscriptcentral.com/mm-cs and click on "Social Media for Ubiquitous Learning and Adaptive Tutoring."
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 email@example.com with questions regarding the submission system. All submissions 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. 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.
To submit a paper to the January–March 2016 special issue, please observe the following deadlines:
- February 1, 2015: Full paper must be submitted using the online manuscript submission service and prepared according to the authors instructions (see the Author Resources page at http://www.computer.org/multimedia/author.htm).
- July 25, 2015: Authors notified of acceptance, rejection, or needed revisions.
- September 25, 2015: Final versions due.