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
Track Program Chairs
Hendrik Drachsler, Open University of Netherlands, Netherlands
Yanyan Li, Beijing Normal University, China (liyy@bnu.edu.cn<mailto:liyy@bnu.edu.cn>) [Co-ordinator]
Olga C. Santos, Spanish National University for Distance Education, Spain
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
Publications:
* 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.
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