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

Apologies for cross-postings

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2nd CALL FOR CHAPTERS

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/AuthorEdi...

2nd Deadline for Proposal Submission: July 30, 2010
Deadline for Full Chapter Submission: October 30, 2010

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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 2nd Call of Chapters, researchers and practitioners are
invited to submit on or before July 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 August 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
July 30, 2010: 2nd Proposal Submission Deadline (2-3 pages)
August 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: ocsantos-AT-dia.uned.es