-------- Original-Nachricht -------- Betreff: [WI] [SmartUni2013@CONTEXT2013] 2nd CfP: Smart University Workshop Datum: Tue, 11 Jun 2013 06:42:52 +0200 Von: Martin Atzmueller atzmueller@cs.uni-kassel.de An: kdml@cs.uni-kassel.de, fg-db@informatik.uni-rostock.de, wi@aifb.uni-karlsruhe.de, ak-kd-list@lists.uni-karlsruhe.de

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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@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

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