AISB miscellaneous Bulletin Item
Reminder CFP (deadline 10th October): Special Issue of IJITWE on Advances in eLearning Technologies: Agents and Grid Computing Perspectives
Special Issue of IJITWE on Advances in eLearning Technologies: Agents and Grid Computing Perspectives (incorporating ICCES-ATGCeL'08) Submission Please email submission to guest editor: email@example.com Or through easyChair account: http://www.easychair.org/conferences?conf=ijitweaeltag08 Please follow the journal submission guidelines: http://www.igi-global.com/development/author_info/guide.asp Deadlines Submission: September 25, 2008 Extended to 10 October 2008 Notification: November 25, 2008 Publication: early 2009 Guest Editor(s) Aladdin Ayesh - De Montfort University, UK Cyrille Bertelle, Le Havre University, Le Havre, France Habib Abdulrab, Rouen University, Rouen, France With the advances in eLearning technologies and their ever increasing requirements, agent and grid computing technologies have been explored in many ways. The aim of this session is to bring together researchers from these technologies to showcase their research and developments. In doing so, it aims to provide a platform and forum for discussion between technologists and educationalists. The special issue aim to give a forum to researchers to report on new advances and original research on eLearning technologies with specific focus on software agents and grid computing. Both of these technologies, agents and grids, are becoming widely applied in the eLearing systems. The scope of the special issue will cover both theoretical and applied issues of these technologies in developing the new generations of eLearning technologies. The special issue topics of interest are, but not limited to: Agent Technologies: Agent Architectures for eLearning Agent Communication Agent Policies Ontology Grid Computing Architectures for eLearning and cooperative workspaces Ad Hoc Networks Protocols for eLearning Security and data protection Network optimization Participation on other aspects of eLearning, e.g. natural language processing for intelligent interfaces and user profiling are equally welcomed and encouraged.