Workshop on Recommender Systems for Technology Enhanced Learning
(RecSysTEL 2012). Saarbrucken, Germany, 18-21 September 2012
Organised jointly with the European Conference on Technology Enhanced Learning (EC-TEL 2012)
--- Paper submission deadline: 30 July 2012 (EXTENDED)---
--- Post-proceedings volume to be published by Springer ---
--- Keynote speaker: Dr. Stefan Dietze, L3S, Germany (http://stefandietze.wordpress.com)---
AIM & TOPICS
Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of both individuals and organisations. It is an application domain that generally addresses all types of technology research & development aiming to support of teaching and learning activities, and considers meta-cognitive and reflective skills such as self-management, self-motivation, and effective informal and self-regulated learning. Information retrieval is a pivotal activity in TEL, and the deployment of recommender systems has attracted increased interest during the past years as it addresses the information overload problem in TEL scenarios with a low cost approach.
Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. There are plenty of resources available on the Web, both in terms of digital learning content and people resources (e.g. other learners, experts, tutors) that can be used to facilitate teaching and learning tasks. The challenge is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.
The aim of the workshop is to bring together researchers and practitioners that are working on topics related to the design, development and testing of recommender systems in educational settings as well as present the current status of research in this area. Overall, it aims to outline the rich potential of TEL as an application area for recommender systems, as well as expose participants to the challenges of developing such systems in a TEL context.
Topics include but are not limited to:
* User tasks to be supported by recommender systems in TEL
* Explanation and visualizations of recommendations
* Open user models for TEL recommender systems
* Recommendation approaches based on social (meta) data
* Requirements for the deployment of TEL recommender systems
* Data sets for TEL recommender systems
* Recommendation algorithms and systems for TEL
* Transfer of successful algorithms and systems from other application areas
* Evaluation criteria and methods for TEL recommender systems
* Experiences from actual implementation in teaching, learning and/or community building
30 July 2012: Submissions (EXTENDED)
17 August 2012: Notifications
1 September 2010: Camera-ready of accepted papers
18-19 September 2012: RecSysTEL Workshop in Saarbrucken
The Workshop accepts a variety of submission types:
* Full papers: 12 pages
* Short papers: 6 pages
* System/service demos: 2 pages
* TEL Data sets: 2 pages (and if possible, data set file/URL)
Papers should be original and not previously submitted to other venues.
Submissions will be handled through the conference management tool ginkgo:
If you haven't an ginkgo account yet, you'll be asked to create it before you can access the RecSysTEL'12 page.
Papers will be published online as part of the CEUR Workshop proceedings series.
CEUR-WS.org is a recognised ISSN publication series, with ISSN 1613-0073.
Extended versions of workshop papers will be also invited to a post-proceedings volume to be published by Springer.
* Jesus G. Boticario, aDeNu - Spanish National University for Distance Education (Spain)
* Peter Brusilovksy, University of Pittsburgh (USA)
* Erik Duval, KU Leuven (Belgium)
* Denis Gillet, Swiss Federal Institute of Lausanne (Switzerland)
* Stefanie Lindstaedt, Know-Center Graz (Austria)
* Wolfgang Nejdl, L3S & Leibniz Universitat (Germany)
* Miguel-Angel Sicilia, University of Alcala (Spain)
* Martin Wolpers, Fraunhofer FIT (Germany)
* Riina Vuorikari, European Schoolnet (Belgium)
* Nikos Manouselis, Agro-Know Technologies & ARIADNE Foundation (Greece)
* Hendrik Drachsler, Open Universiteit Nederlands (The Netherlands)
* Katrien Verbert, KU Leuven (Belgium)
* Olga C. Santos, aDeNu - Spanish National University for Distance Education (Spain)