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    RESYL@ICALT 2014 - 2nd CfP - ICALT Conference Track 12: Recommender Systems for Learning

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    Website http://www.ask4research.info/icalt/2014/node/34 | Want to Edit it Edit Freely

    Category learning recommender systems; evaluation; context modelling, algorithms

    Deadline: February 01, 2012 | Date: July 07, 2014-July 10, 2014

    Venue/Country: athens, Greece

    Updated: 2014-01-09 21:19:14 (GMT+9)

    Call For Papers - CFP

    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 (ReSyLatICALT2014)

    http://www.ask4research.info/icalt/2014/node/34

    Track Program Chairs

    Hendrik Drachsler, Open University of Netherlands, Netherlands

    Yanyan Li, Beijing Normal University, China (liyyatbnu.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


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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