Research On Context Management Of Pervasive Learning System

With the promotion of computer technique and mobile communication technology, pervasive computing technology has penetrated in all the fields of real life and is creating a digital space in which human beings can get access to information whenever and wherever possible and then makes pervasive learning possible. The main characteristic of pervasive learning which is different from traditional e-learning is the changes of context which is brought from mobility. Pervsive learning system must perceive these changes, do the right choices through reasoning and adjust system behaviours actively and intelligently and finally appropriate learning experiences for learners.The main core questions of pervasive learning study is learning context, including learner context, learning resource context, location context and so on. So the core function of pervasive learning system is the processing of context data, that is context management. Based on analysis on pervasive learning context, this paper designs context model and studies its acquisition, aggregation, reasoning, dissemination and quality control and some other management processes. Then this paper tends to create context management architecture and bring forward context quality evaluating system and quantification method.The main contents and products include:(1) Analysis on pervasive learning context.It concludes and analyzes the classification of contexts, brings forward a new pervasive learning context classification system and does a specific study on learner context,learning resources and learner location, finally studies its acquisition method. Study on pervasive learning context classification system and acquisition method promote a foundation for context management.(2) On the basis of advantage analysis of ontology context modeling method, it applies ontology method to create pervasive learning context model and designs ontology models of learners,learning resources and learner location of pervasive learning system and also designs general pervasive learning model and model generating method. Context ontology model promotes a constructive data center for context regulating and becomes a foundation for context reasoning basen on ontology.(3) It designs a terminal learning device-oriented context management architecture, and designs the functions for corresponding classes and units, which include peripheral unit(context collecting, context provider and consumer layer) and core context management unit(context aggregation, abstracting and reasoning, quality control and dissemination layer). This architecture integrates ontology reasoning and reasoning based on rules and combines the function advantages of ontology reasoning and efficiency advantage of rule reasoning and it also put context quality control into all the process of context management.(4) As to a relatively weak process of context management study, it does a specific study on the quality evaluation on context data and brings a set of context quality evaluating system and designs quantification plans individually. Quality of Context evaluating indicator system promote security for context quality control.