In this dissertation, the extensibility, stability and understandability of behavior modeling issues are addressed on Web 2.0-based e-Learning environment. The self-organizing behavior modeling approaches are proposed to solve the problem solving strategy formulation and realization problem for self programming learning, the trustworthy experts modeling problem for inquiry learning, and the consensus building problem for folksonomy-based knowledge sharing activity.
Under the context of intelligent tutoring system, the Generalized Model Tracing approach is proposed to organize the diagnosis results of different program model tracing with Problem Solving Strategy Ontology. The diagnosis result can be used to provide the learning guidance for problem solving strategy. Under the context of learning forum, the Cascading Topic Clustering Algorithm and Self-organized Ontology Maintenance Scheme are proposed to organize the forum experts‟ inquiry activities with the Purpose-based Ontology. Building the forum experts‟ behavior model can provide trustworthy expert finding service for inquiry-based learning.
Under the context of collaborative constructed sharable content repository, the IRT-Based Metadata Reengineering Scheme is proposed to evaluate the effectiveness of folksonomy tags and resolve the synonym, redundancy and incompleteness problem of metadata by the domain taxonomy.
In the experiment, the evaluations of the effectiveness of adaptive learning guidance based on the behavior models were done. The experimental results showed that the behavior models in different activities can support students to achieve higher learning achievements. In the near future, the behavior modeling approach will be further applied for the problem solving training in contexts of enterprise software testing and game creation project.
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