[DL] Track 17: SW-EL at ICALT2017

[Fernando Bobillo]

****************** The 17th IEEE International Conference on Advanced 
Learning Technologies - 
ICALT2017 **************************************************

*DESCRIPTION*
New trends in technologies, such as data analytics, cloud computing, 
maker spaces, 3-D printing, wearable technologies, augmented reality 
and intelligent systems are just a few examples of 
technologies investigated for their potential to transform teaching, 
learning and assessment both in formal education (at all levels) and 
informal learning.

ICALT is an annual international conference on Advanced Learning 
Technologies and Technology-enhanced Learning organized by IEEE 
Computer Society and IEEE Technical Committee on Learning Technology. 
After its kick-off as IWALT in Palmerston North, New Zealand (2000), 
ICALT has been held in Madison, USA (2001), Kazan, Russia (2002), 
Athens, Greece (2003), Joensuu, Finland (2004), Kaohsiung, Taiwan 
(2005), Kerkade, The Netherlands (2006), Niigata, Japan (2007), 
Santander, Spain (2008), Riga, Latvia (2009), Sousse, Tunisia (2010), 
Athens, Georgia, USA (2011), Rome, Italy (2012), Beijing, China 
(2013), Athens, Greece (2014), Hualien, Taiwan (2015) and Austin, Texas, 
USA (2016).

The 17th IEEE International Conference on Advanced Learning Technologies 
(ICALT2017) will be held in Timisoara, Romania, European Union between 3 
– 7 July, 2017. The Politehnica University of Timisoara, Romania will 
host the event.

*WEB SITE*
http://icalt.elearning.upt.ro/

*Track 17. Applications of Semantic Web technologies for Learning 
(SW-EL at ICALT2017)*
It is well known that the application of the Semantic Web technologies 
provides several advantages like interoperability, integration and 
reuse. With respect to human learning and education, Semantic Web 
Technologies have been used for modeling various aspects of the learning 
experience, including content, metadata, learning 
design, pedagogical strategies, feedback, hints and learner profiles. 
By enabling automatic reasoning over such models, Semantic Web provides 
the grounds for the improvement of learning experiences from 
different viewpoints, such as adaptation and personalization, 
interoperability among systems, quality of search and recommender 
engines, etc. In addition, such technologies can be also adopted for 
Service-based Architectures to support service annotation, discovery, 
integration and coordination and for reasoning and collaboration 
among Intelligent Agents. Moreover, new applications of Semantic Web for 
Education are envisioned with respect to Seamless Learning and 
Context-aware Learning. In Seamless Learning, alignment and continuity 
of several, often heterogeneous forms of learning (formal in the 
classroom, informal in the city, etc.) are fundamental characteristics. 
In these scenarios, mechanisms, enabled by Semantic Web, like 
Open Badges could be employed.

Furthermore, in Context-aware Learning, new technologies like Augmented 
Reality can increase engagement and enable learners to construct 
broader understandings. In this case the glue among physical and digital 
worlds can be sustained also by the application of Semantic Web 
technologies.

Papers in this track addressing the following and other topics are 
encouraged:

• Semantic Web technologies to adapt and personalize the learning 
experience based on augmented reality
• Applications of Semantic Web technologies in Seamless learning 
for aligning activities (in different settings, with different 
devices, etc.) and handle continuity
• Building Intelligent Tutoring Systems by using Semantic Web technologies
• Embedding Intelligent Tutoring Systems in toys by means of Semantic 
Web technologies
• Using Semantic Web technologies in distributed architectures for Smart 
Environments (Smart City, Smart Classroom, etc.)
• Semantic Web languages and their formal extensions to build 
pedagogical models
• Applying machine (deep) learning approaches to build and/or refine 
Semantic Web models and rules
• Semantic Stream Processing to support human learning in the Smart City
• Uncertainty representation and reasoning in Semantic Web-based 
Applications for Human Learning


****  Track 17 Program Committee*

Ig Ibert Bittencourt [Track Program Chair], Universidade Federal de 
Alagoas, Brazil

Fernando Bobillo [Track Program Chair], Universidad de Zaragoza, Spain

Giuseppe Fenza [Track Program Chair], University of Salerno, Italy

Angelo Gaeta, University of Salerno, Italy

Tatiana Gavrilova, St. Petersburg  University, Russia

Jelena Jovanovic [Track Program Chair], University of Belgrade, Serbia

Sergio Miranda [Track Program Chair], University of Salerno, Italy

Francesco Orciuoli [Track Program Organizer], University of Salerno, Italy

Giuseppe D’Aniello, University of Salerno, Italy

Carmen De Maio, University of Salerno, Italy

Sabrina Senatore, University of Salerno, Italy


**** Important Dates *

January 20, 2017: Submissions of papers (Full paper, Short paper, Poster)
March 15, 2017: Authors’ Notification on the review process results
May 2, 2017: Authors’ Registration Deadline
May 2, 2017: Final Camera-Ready Manuscript and IEEE Copyright Form 
submission
May 16, 2017: Early Bird Registration
July 3-7, 2017: ICALT2017 Conference

**** Track 17 Web Site*
http://icalt.elearning.upt.ro/?page_id=3630


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