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Wed, 8 Jan 2014 22:40:44 +0100
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[APOLOGIES FOR CROSS-POSTING]

CALL FOR PAPERS
The 14th IEEE International Conference on Advanced Learning Technologies - ICALT2014
Advanced Technologies for Supporting Open Access to Formal and Informal Learning
Athens, Greece, July 7-10, 2014
http://www.ask4research.info/icalt/2014/

Track 12: Recommender Systems for Learning (ReSyL@ICALT2014)
http://www.ask4research.info/icalt/2014/node/34

Important Dates
- February 1, 2014: Submissions of papers (Full paper, Short paper, Poster)
- March 17, 2014: Authors' Notification on the review process results
- April 18, 2014: Authors' Registration Deadline
- May 9, 2014: Final Camera-Ready Manuscript and IEEE Copyright Form submission
- May 26, 2014: Early Bird Registration
- July 7-10, 2014: ICALT2014 Conference

Track Description and Topics of Interest
With the increasingly growth of multimedia resources in the various e-learning systems and online learning communities, how to find and access useful information for learning and teaching has become a big challenge. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The focus is to develop, deploy and evaluate recommender systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources, both in terms of digital learning content and people resources (e.g. learners, experts, tutors), from a potentially overwhelming variety of choices. This track aims to bring together researchers and practitioners around the topics of designing, developing and evaluating recommender systems in educational settings as well as present the current status of research in this area. We welcome papers describing work in progress and encourage submissions that make datasets available to the community.

Topics of interest include but are not limited to:
 User modeling for learning recommender systems
 Affective computing in educational recommender systems
 Multimedia information retrieval and recommendation for learning
 Semantic Web technologies for recommendation
 Data Mining and Web Mining for recommendation
 Machine Learning for recommendation
 Context modeling techniques for recommender systems
 Recommendation algorithms and systems for learning
 Data sets for learning recommender systems
 Explanation and visualization of recommendations
 Evaluation criteria and methods for learning recommender systems

Submission Format & Publication Details:
* Full paper: 5 pages
* Short paper: 3 pages
* Posters: 2 pages

Selected Papers from all Tracks will be considered for publication to:

Educational Technology and Society Journal, ISSN 1436-4522 [included in SSCI, Impact Factor: 1.171/2012 - Thomson Scientific 2012 Journal Citations Report]  listed #4 at Scholar Google Educational Technology list.

IEEE Transactions on Learning Technologies (TLT), ISSN 1939-1382 [a joint publication of the IEEE Computer Society and the IEEE Education Society, 0.758/2012 - Thomson Scientific 2012 Journal Citations Report]  listed #12 at Scholar Google Educational Technology list.

Track Program Chairs
Hendrik Drachsler, Open University of Netherlands, Netherlands
Yanyan Li, Beijing Normal University, China ([log in to unmask]<mailto:[log in to unmask]>) [Co-ordinator]
Olga C. Santos, Spanish National University for Distance Education, Spain

Members of Track Program Committee Hendrik Drachsler, Open University of Netherlands, The Netherlands Yanyan Li, Beijing Normal University, China Olga C. Santos, Spanish National University for Distance Education, Spain Rachid Anane, Coventry University, UK Chi-Cheng Chang, National Taiwan Normal University, Taiwan Su Cai, Beijing Normal University, China Soude Fazeli, Open Universiteit Nederland, Netherlands Peter Sloep, Universiteit Nederland, Netherlands Nikos Manouselis, Agro-Know Technologies & ARIADNE Foundation, Greece Rory Sie, Ecole Polytechnique Federal de Lausanne, Switzerland Maren Scheffel, FIT Fraunhofer, Germany Felix Modritscher, University of Vienna, Austria Mojisola Erdt, TU Darmstadt, Germany Kris Jack, Mendeley, UK Christoph Rensing, TU Darmstadt, Germany Rob Nadolski, Open University of Netherlands, Netherlands Julien Broisin, IRIT Universite Paul Sabatier, France Katrin Borcea-Pfitzmann, Dresden University of Technology, Germany Rita Kuo, Academic and Industrial Research Centre & Knowledge Square, Taiwan Tiffany Tang, Kean University, USA Beatriz Eugenia Florian Gaviria, Universidad del Valle, Colombia Amine Chatti, RWTH Aachen, Germany Ralf Klamma, RWTH Aachen, Germany Important dates about ICALT 2014 submissions are available at: http://ask4research.info/icalt/2014/node/5 The ICALT 2014 Author Guidelines can be found at: http://ask4research.info/icalt/2014/node/10


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