[AISWorld] [SmartUni2013 at CONTEXT2013] Call for papers: Smart University Workshop

[Thomas Roth-Berghofer]

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                          CALL FOR PAPERS
              Smart University Workshop @ CONTEXT 2013
                          (SmartUni 2013)
                 http://smartuni2013.workshop.hm
         28/29 October 2013, Annecy, Haute-Savoie, France

              *** Submission date: July 12, 2013 ***

The Smart University is the vision of the university as a platform, which 
delivers foundational context data to drive the analysis and improvement 
of the teaching & learning environment. The university as a platform 
links the daily journey of lecturers and students and makes the classroom 
experience explicit.

Sharing data and information and providing transparency are a basis for 
innovation and academic growth. Linking personal experience to group and 
university-wide experience helps develop an evidence-based view on the 
organisation. This new view helps revealing strengths and weaknesses of the 
organisation. Sensors can, for example, easily track temperature, humidity, 
and noise level in and outside the classroom; they can also help 
automatically determine actual class size. In addition, mobile sensing 
solutions can enhance social contexts and enable social media. By adopting 
Linked Data for the university as a platform, links can be set between 
internal organisational and sensor data and such external data sources as 
weather news or traffic feeds, thereby connecting these sources into a 
single information space. The use of a common data model enables the use of 
generic applications that operate on that information space. Additionally 
the common data model presents opportunities for deriving new insights from 
that information space.

Low-cost motion detection and other sensors coupled with low-cost credit-
card sized computers such as the Raspberry Pi open up opportunities to equip 
rooms with sensors. As the Raspberry Pi is a full-fledged computing device 
running one cannot only acquire data, but also process it in context. 
Additionally the sensor-hubs can form radio frequency based mesh networks 
allowing for an infrastructure independent communication of the acquired 
and pre-processed sensor data. Smartphones with their sensors and processing 
power could collect and provide additional information and context.

In this workshop we want to explore the possibilities of acquiring and using 
contextual data. By letting students and teachers tell their story with 
automatically generated environmental and social data underpinning their 
story, the university as a platform can help prospective students and 
lecturers make an informed decision about their participation in the 
respective environment. For example, collecting sensor data on noise levels 
and temperature can help backing up quality complaints about co-located 
noisy classes or uncomfortable room temperatures.


SCOPE OF THE WORKSHOP
Several types of contributions are of interest to this workshop; related 
to such areas as Context-aware Computing, Ambient Intelligence, Data 
Mining, Technology-enhanced Teaching and Learning, Linked Data, Pedagogy, 
Psychology, Explanation, Software Architectures, Embedded sensors.


TOPICS OF INTEREST
Possible topics include, but are not limited to:
* Social software and context
* Low-cost sensors and Linked Data
* Improving learning and teaching experience using sensors
* Data-driven pedagogy
* Personalising big data for use in the teaching and learning 
  environment
* Ambient intelligence and teaching/learning
* Scaling effects and approaches 
* Physical installation and maintenance of sensor/unit arrays
* Context formalisation with regard to minimal effort/resource 
  consumption
* Educational data mining
* Exploratory data mining and context analysis


SUBMISSIONS
Workshop submission will be electronic, in pdf format only. Submitted 
papers must not exceed 12 pages and should conform to Springer LNCS 
style (see workshop website). At least one author of each accepted 
paper must register for the workshop and the main conference, and 
present the contribution at the workshop in order to be published in 
the workshop proceedings.

Paper submission will be handled using EasyChair:
https://www.easychair.org/conferences/?conf=smartuni2013


IMPORTANT DATES
Submission deadline for abstracts:      July 12, 2013
Workshop paper submission deadline:     August 1, 2013
Notification of paper acceptance:       September 9, 2013
Camera-ready copy due:                  October 1, 2013
Smart University workshop:              October 28 and/or 29, 2013


POST WORKSHOP PUBLICATION
The organising committee is considering issuing a post workshop publication 
either as a special issue of some related journal or Springer Lecture Notes 
depending on the number and quality of the submissions.


WORKSHOP CHAIRS (reachable via chairs at smartuni2013.workshop.hm)
Thomas Roth-Berghofer, University of West London, UK
Samia Oussena, University of West London, UK
Martin Atzmueller, University of Kassel, Germany


PROGRAMME COMMITTEE
Sebastian Bader, University of Rostock, Germany 
Balbir Barn, Middlesex University, United Kingdom 
Jörg Cassens, University of Hildesheim, Germany
Tony Clark, Middlesex University, United Kingdom
Babak Esfandiari, University of Carleton, Canada
Stelios Kapetanakis, University of Brighton, United Kingdom 
Florian Lemmerich, University of Würzburg, Germany
Heiko Maus, German Research Center for Artificial 
  Intelligence DFKI GmbH, Germany
Heiko Paulheim, University of Mannheim, Germany
Mykola Pechenizkiy, Eindhoven University of Technology, 
  The Netherlands
Kristof van Laerhoven, University of Darmstadt, Germany
Stephan Weibelzahl, National College of Ireland, Ireland
Marielba Zacarias, University of Algarve, Portugal