[AISWorld] 2nd CfP- ACM IUI Workshop on SmartLearn (Intelligent Interfaces for Ubiquitous and Smart Learning)

Ilknur Celik cilknur at metu.edu.tr
Mon Dec 5 01:54:44 EST 2016


**Please forward to anyone who might be interested**

Apologies for cross-posting.

2nd Call for Papers
Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning - 
*SmartLearn 2017* (http://smartlearn.dibris.unige.it/)
in conjunction with the 22nd ACM International Conference on Intelligent 
User Interfaces - IUI 2017 (http://iui.acm.org/2017/), March 13-16, 
2017, Limassol, Cyprus.


IMPORTANT DATES
---------------
Paper Submission:*16 December 2016 *
Notification of authors: 8 January 2017
Camera-ready version due: 13 January 2017
Workshop date: 13 March 2017


DESCRIPTION
------------
New technologies are changing the way we learn and teach. Emerging 
technologies such as social semantic web, cloud computing, and the 
growing popularity of mobile devices, embedded devices and adaptive 
context-aware technologies are leading to a paradigm shift in the way 
educational services are provided towards a “smart learning”. Mobile and 
smart learning environments allow for accessing and interacting with 
digital resources in learning systems anytime and anywhere with 
intelligent, adaptive and appropriate guidance, support, suggestions and 
customizations.
Through technologies and approaches such as ubiquitous learning and 
adaptive learning, learning becomes adaptable, personalized, flexible, 
and suitable to meet diverse and rapidly changing technologies, 
environments and learner needs, while opening unprecedented 
possibilities for education. The “Intelligent Interfaces for Ubiquitous 
and Smart Learning” workshop aims to bring together researchers from 
industry and academia to address the challenges of the intelligent user 
interfaces and smart learning fields, discuss new ideas and present 
their research to the scientific community in order to enhance the 
methodologies and techniques for intelligent learning environments for 
the 21st century.


TOPICS
-------
We invite submissions that may include the following topics, but are not 
limited to:
- intelligent user interfaces for learning
- ubiquitous learning
- adaptive learning
- mobile learning
- social learning
- smart learning
- learning on demand
- continuous learning
- semantic LMS services
- learning as a service
- cloud learning environments
- technology-enhanced learning in developing countries
- design and experiments of intelligent user interfaces for education
- discovering relations
- exploiting analytics of educational open data
- linked-data enhanced learning
- semantically-enhanced cloud services

SUBMISSIONS:
-----------------------
Accepted papers will appear in the Proceedings of the IUI conference 
that will be published in the ACM Digital Library.

We encourage the submission of original contributions investigating and 
studying intelligent interfaces for ubiquitous and smart Learning:
- Full research papers (max 8 pp. in PDF);
- Short papers (4 pp. in PDF) for position papers and 
research-in-progress papers.

All submissions must be written in English and contain author names, 
affiliations, and email addresses.
Submissions should follow the standard SigCHI format (Microsoft Word and 
LaTeX templates are available at 
*http://www.acm.org/publications/article-templates/proceedings-template.html/*) 
and submitted via EasyChair 
(https://www.easychair.org/conferences/?conf=smartlearn2017).

REGISTRATION
------------
The workshop will consist of a part of accepted papers presentation and 
a part of discussion among participants. At least one of the authors 
should register and take part at the workshop to make the presentation.
See details on full conference or 1 DAY registration 
fees:http://iui.acm.org/2017/registration.html

ORGANIZING COMMITTEE
--------------------
Ilknur Celik, Middle East Technical University, Northern Cyprus Campus, TR
Ilaria Torre, University of Genoa, IT

CONTACT
-----------------
e-mail: smartlearn2017 at easychair.org
Web page: http://smartlearn.dibris.unige.it/



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