Research On Construction Of E-Learning Resource Ecosystem

With the development of knowledge economy and the drive of technology innovation,especially rapid development of Internet economy and social computing network,great changes have taken place in e-Leaming and third party services on modern education gradually comes into being.At the same time,with the development of e-Educational technology and life-long education,many e-learning resources appear.Some of them are developed by government, enterprises,educational institutions and individuals,others are automaticly generated from Social Computing environment,many of which are micro-learning resources.Due to resources' multiplicity,there come the questions of heterogeneity,regeneration and disorder.Problems of system heterogeneity and QoS also exist because of a considerable diversity of resource services platforms. All these problems influence the share of learning resources.How we can share all these learning resources well is the kernel issue of this dissertation,which involves the problems about heterogeneity,regeneration, disorder and QoS.This dissertation defines the related concept of learning resource first,then discusses existing problems and gives solution accordingly.Based on it,a Learning Resource Service Eco-System(LRSES) model is proposed, analyzed and researched in detail from three facets:theoretical basis,technical architecture and technical implementation.At last,the author validates the effectiveness of the model.The dissertation analyzes the theoretical basis of LRSES and proposes the theoretical model of LRSES.The author constructs a Learning Resource Service Eco-System Universe of Discourse(LRSEUoD),and analyzes its five subspaces (that is,Role SpaceΣ_R,Content Resource SpaceΣ_CR,Media Tools SpaceΣ_MT, Coordinating SpaceΣ_C,Work Information Space Ew) with formal modeling. The progress of learning resources' interactive evolution is also analyzed.At last, a QoS model is proposed. The dissertation puts forward a technical frame of LRSES and resolves the key issue from system architecture,standards and semantic ontology aspects,in order to resolve the problems of learning resources' and systems' heterogeneity and to realize their interoperability.In the field of system architecture,the author analyzes the evolution of system architecture and the situation of learning service system architecture,and establishs the architecture of Learning Resources Service Eco-System.In the field of standards,the author researches standards and interoperability of learning resources,expands specifications of new applications so as to resolve standard problems in Social Computing environment. In the field of semantic ontology,the authors analyzes semantic ontology of education domain,and defines lightweight LREO(Learning Resources Ecology Ontology) based on e-Learning standards and specifications,such as LRO (Learning Resources Ontology),LNO(Learner Ontology) and PDO(FIPA Device Ontology).The dissertation expounds distributed autonomy and shared service of learning resource from technical implementation level so as to resolve the problems of learning resources,such as learning resources' symbiotic and regeneration,distribution disorder and shared service.Management methods of learning resource's life cycle are proposed,and also algorithms about ecological evolution and distribution of learning resources.A LRSDG(Learning Resources Service Data Grid) system is designed using grid technology.At last,permissions of authorities of Roles,four steps of interactive collaboration and co-evolution are analyzed in learning resources shared service.Approaches of LRSES system implementation are proposed at the end of this dissertation,which includes architecture,access interfaces,LREO and LRSS (Learning Resources Share Service).The author discusses technological ecological environment,test methods,access methods of learning resources database.The author constructs LREO by Prot(?)g(?),by establishing metadata namespace,defining relations among LREO elements,showing ontology view of LREO and giving access methods.The author constructs LRSDG with the help of Grid platform GT4,which implements system's monitoring and management,data synchronization testing and data analyses of user access.The author also constructs LRSS using Sakai,which provides user authentication,distribution of competencies,interactive collaboration and co-evolution in the ecosystem.The dissertation is lengthy research achievements of the following projects:"Research of Network Education Resource Integration"(DCB030252), supported by Ministry of Education,"Architecture and Sharing Mechanism of National Basic Education's Information Resource Service Research"(DCA060101),supported by Ministry of Education,"Realization of ERSDG based on Data Grid"(2004AA1Z2330),863 subproject, supported by the Ministry of Science and Technology,"Development of Collaborative Learning Tools under Linux Multimedia Network Learning Resource Circumstances"(2005AA1Z2100),863 subproject, supported by the Ministry of Science and Technology,"Multi-perspective of Realization of Shanghai learning resources Grid"supported by Education Bureau of Shanghai(A0505),"Learning Platform Architecture and Interface Testing and Application Demonstration of Application Model Project and General Technical Support for the Modern Service Industry"(2006BAH02A36-004-1),supported by the Ministry of Science and Technology.