Apologies for cross-postings =========================================================== 3rd CALL FOR CHAPTERS PROPOSALS 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 3rd 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: ocsantos@xxxxxxxxxxx *********************************************************************************************