Technical Difficulties and Characteristics of Next Generation e-learning Platform

Bing Wu · 2009

This paper explores several looming issues with e-learning systems,such as information overload,the lack of individualization,and isolated learning environment.The paper traces the history of these issues and the current research on them.The paper then examines current research and applications in intelligent agents,information retrieval and domain knowledge management and personalized services in a search for key technologies and methods that may help in addressing issues with the learning platforms.These technologies and methods include:intelligent agent-based retrieval of learning resources,resource management and indexing based on domain knowledge management,intelligent recommendation and individualized smart matching based on self-organization,and information extraction and metadata modeling based on semantic analysis.The paper also studies research on the formation,expression and evolution of user interests,and research into expressions of recommended content in dynamic learning organizations,as well as collaborative technologies.In addition,based on current national and international usage of learning management systems,the paper also offers advice and systems requirements for designers of future e-learning systems.

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