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    ERSAT 2011 - EDUCATIONAL RECOMMENDER SYSTEMS AND TECHNOLOGIES:PRACTICES AND CHALLENGES

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    Website www.igi-global.com | Want to Edit it Edit Freely

    Category RECOMMENDER SYSTEM;education

    Deadline: August 30, 2010 | Date: March 15, 2011-March 18, 2011

    Venue/Country: CALL FOR CHAPTERS, Spain

    Updated: 2010-08-15 23:02:16 (GMT+9)

    Call For Papers - CFP

    EDUCATIONAL RECOMMENDER SYSTEMS AND TECHNOLOGIES:PRACTICES AND CHALLENGES

    A book edited by Olga C. Santos and Jesus G. Boticario

    aDeNu Research Group. UNED, Spain

    To be published by IGI Global:

    http://www.igi-global.com/AuthorsEditors/AuthorEditorResources/CallForBookChapters/CallForChapterDetails.aspx?CallForContentId=0d03b356-72fc-454b-a7a0-de6b85986b65

    3rd Deadline for Proposal Submission: August 30, 2010

    Deadline for Full Chapter Submission: October 30, 2010

    MOTIVATION

    Recommender systems have shown to be successful in many domains where

    information overload exists. This success has motivated research on

    how to deploy recommender systems in educational scenarios to

    facilitate access to the wide spectrum of information. Tackling open

    issues in that deployment is gaining importance as lifelong learning

    becomes a necessity of the current knowledge-based society. Although

    Educational Recommender Systems (ERS) share the same key objectives as

    recommenders for e-commerce applications (i.e. helping users to select

    the most appropriate item from a large information pool), there are

    some particularities that make it impossible to directly apply

    existing solutions from those systems. For instance, recommendations

    in the educational domain should not be guided only by the learners’

    preferences but also by educational criteria. ?However, most ERS

    approaches have focused on applying traditional recommendation

    algorithms in order to find relevant resources for learners in

    learning scenarios. While this approach is pointing at interesting

    open issues, there are complementary views in this field to address

    the current challenges, which may clarify grounds to successfully

    deploy ERS.

    OBJECTIVE OF THE BOOK

    The book aims to provide a comprehensive review of state-of-the-art

    practices for educational recommender systems as well as the

    challenges to be addressed in order to achieve their actual

    deployment. Some of the topics that will be discussed are below:

    * State of the art of educational recommender systems

    * Techniques and algorithms to produce recommendations in e-learning settings

    * Management of educational issues when providing recommendations to learners

    * Implications of recommendations in the educator tasks

    * Management and visualization of recommendations though graphical user

    interfaces, considering usability and accessibility requirements

    * Evaluation methods to measure the impact of the recommendations on the users

    * Challenges for providing suitable recommendations in the educational domain

    * Application of educational recommender systems in real world scenarios

    * New educational related areas where educational recommender systems

    fit purpose

    TOPICS

    Recommended topics related to Educational Recommender Systems (ERS)

    include, but are not limited to, the following:

    * Current limitations of ERS

    * Main challenges for ERS

    * Modeling issues in developing ERS

    * Methodologies to develop ERS

    * Usability and accessibility issues in building inclusive ERS

    * Recommendation techniques that can be applied in ERS

    * Roles and activities involved in developing ERS

    * Main issues that should be addressed by ERS in collaborative settings

    * How ERS can help in enhancing meta-cognitive features

    * Meta-cognitive issues and ERS

    * Peer-to-peer learning and ERS

    * Informal and social learning and ERS

    * Management of dependences between learning design and ERS

    * Personal learning environments (PLE) and ERS

    * Measures to evaluate the impact of recommendations in the learning

    and/or teaching process

    * User-centered evaluation on ERS

    * Evaluation metrics for ERS

    * Experiences in producing recommendations for e-learning scenarios

    * Best practices in ERS

    SUBMISSION PROCEDURE

    For this 1st Call of Chapters, researchers and practitioners are

    invited to submit on or before August 30th, 2010, a 2-3 page chapter

    proposal clearly explaining the mission and concerns of his or her

    proposed chapter.

    Authors of submitted proposals will be notified by September 20, 2010 about

    the status of their proposals and sent chapter guidelines for those

    accepted.

    Full chapters (8,000 to 10,000 words) are expected to be submitted by

    October 30, 2010. All submitted chapters will be reviewed on a

    double-blind review basis. Contributors may also be requested to serve

    as reviewers for the submission received.

    Submissions will be managed through Easychair. ?Details are provided

    at aDeNu website: https://adenu.ia.uned.es/web/en/projects/ersat.

    PUBLISHER

    This book is scheduled to be published by IGI Global (formerly Idea

    Group Inc.), publisher of the “Information Science Reference”

    (formerly Idea Group Reference), “Medical Information Science

    Reference,” “Business Science Reference,” and “Engineering Science

    Reference” imprints. For additional information regarding the

    publisher, please visit www.igi-global.com. This publication is

    anticipated to be released in 2011.

    TARGET AUDIENCE

    The target audience of this book will be composed of researchers

    interested in recommendation strategies for educational scenarios and

    evaluating the impact of recommendations in the learning as well as

    academics and practitioners in the area of technology enhanced

    learning interested in supporting learners and educators in their

    learning and teaching tasks though personalized, adaptive and

    intelligent learning environments. ?Furthermore, the book is also

    targeted at teachers who are interested in using learning technologies

    and/or have an interest in reading more about the potential of

    adaptive and intelligent learning technologies.

    IMPORTANT DATES

    August 30, 2010: 3rd Proposal Submission Deadline (2-3 pages)

    September 20, 2010: ?Notification of Acceptance

    October 30, 2010: Full Chapter Submission (8,000-10,000 words)

    January 15, 2011: Review Results Returned

    February 15, 2011: ?Revised Chapter Submission

    March 1, 2011: ?Revised Chapter Acceptance notification

    March 15, 2011: ?Final Chapter Submission

    CONTACT

    Inquiries can be forwarded electronically:

    Olga C. Santos, aDeNu Research Group, UNED, Spain

    E-mail: ocsantosatdia.uned.es


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