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[SmartUni2013@CONTEXT2013] Call for papers: Smart University Workshop

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  • throthberghofer
    ** Apologies if you receive multiple copies of this announcement ** ** Please forward to anyone who might be interested ** CALL FOR PAPERS Smart University
    Message 1 of 1 , May 15, 2013
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      ** Apologies if you receive multiple copies of this announcement **
      ** Please forward to anyone who might be interested **

      Smart University Workshop @ CONTEXT 2013
      (SmartUni 2013)
      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.

      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.

      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
      * 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
      * Educational data mining
      * Exploratory data mining and context analysis

      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:

      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

      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@...)
      Thomas Roth-Berghofer, University of West London, UK
      Samia Oussena, University of West London, UK
      Martin Atzmueller, University of Kassel, Germany

      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

      Prof Thomas Roth-Berghofer
      Professor of Artificial Intelligence
      Head of Research and Research Training
      School of Computing and Technology

      University of West London
      St Mary's Road, London W5 5RF

      T: +44 208 231 2719, Room TC362
      Email: thomas.roth-berghofer@...
      Website: http://intelligentcomputingsystems.wordpress.com

      >> Open source Case-Based Reasoner: http://myCBR-project.net
      >> Upcoming events:
      Smart University Workshop @ CONTEXT 2013: http://smartuni2013.workshop.hm
      18th UK Workshop Case-Based Reasoning @ AI 2013: http://ukcbr.org.uk
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