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Subject:
From:
Ilaria Torre <[log in to unmask]>
Reply To:
Ilaria Torre <[log in to unmask]>
Date:
Sat, 17 Dec 2016 23:41:51 +0100
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CfP - ACM IUI Workshop on Intelligent Interfaces for Ubiquitous and Smart
Learning (SmartLearn 2017)


The submission deadline has been EXTENDED to 19th Dec 23:59 pm AoE.
Anywhere on Earth (AoE) is 12 hours behind Coordinated Universal Time (UTC).


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 (23:59 AoE - Anywhere on Earth) extended
to 19 Dec 23:59 pm AoE.
Notification to 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
personalized guidance, support and suggestions.
Through technologies and approaches such as ubiquitous and adaptive
learning, learning becomes 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
- annotation-based learning
- design and experiments of intelligent user interfaces for education
- linked-data enhanced learning
- semantically-enhanced cloud services
- learning analytics for improving teaching and learning
- technology-enhanced learning in developing countries

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


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) and submitted via EasyChair (
https://www.easychair.org/conferences/?conf=smartlearn2017).



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

CONTACT
-----------------
e-mail: [log in to unmask]
Web page: http://smartlearn.dibris.unige.it/

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