Li Zhiping

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In this paper, after the discussion of user models and ontology-based domain knowledge representation in intelligent tutoring systems, a formal model of intelligent pedagogical agents is presented and the teaching processes of these agents is analyzed. Domain knowledge are represented based on ontologies to improve the sharing and reusing of teaching(More)
A formal model of agent-based knowledge management in intelligent tutoring systems is presented in this paper. It consists of three agents, a knowledge acquisition agent, a knowledge distribution agent and a knowledge maintaining agent. The knowledge acquisition agent is responsible for the construction of user model and domain knowledge base. The knowledge(More)
A user model with emotional analysis in intelligent tutoring systems is presented in this paper. After introducing user characteristics, an emotional analysis module is introduced to discuss expression recognition, expression classification and emotional states confirming in our user model in detail, in order to improve pedagogical effects.
In this paper, a formal model of intelligent query systems is proposed. After giving the architecture of our intelligent query answering system, we discuss ontology environment, user models, and query answering module in detail, and then propose a formal model of intelligent query systems. Finally, the running process of this model is studied.
In representing ontologies there are two kinds of default statements: one is the default assertions which say that some concept has some property defaultly, another is the default inheritance of default assertions. The latter actually is a default rule of default rules (called super default rules), that is, a default rule in which the formulas occur in the(More)
Learner models are of great importance in the construction of intelligent tutoring systems. In this paper, after introducing intelligent tutoring systems and learner models, four kinds of classical learner models called Stereotypes Models, Overlay Models, Buggy Models and Constraint-Based Models and their properties are discussed in detail. Finally, we(More)
A model of intelligent tutoring systems with emotional pedagogical agents is presented in this paper, and the functionalities of the key components of the system are described. To improve the interaction between learners and the system, a kind of emotional pedagogical agents which can deduce users' emotional statues, is introduced in order to improve(More)
In this paper, after the introduction of ontology-based knowledge bases and user models, a model of recommendation agents that can query over distributed knowledge bases with heterogeneity for web-based intelligent query answering systems is proposed, and the query answering process of these agents is analyzed. Ontologies are introduced to describe the(More)
A model of a Web-based personalized intelligent tutoring system with a user module, a resource management module, a pedagogical module and a guide module is presented in this paper, and the realization of the system and its properties are discussed. The user module makes use of learnerspsila knowledge levels, psychological characteristics and learning(More)
After discussing and formalizing domain knowledge representation and user models, a formal model of emotional pedagogical agents in intelligent tutoring systems is presented in this paper, and the functionalities of model are described in detail. This kind of emotional pedagogical agent considers users' emotional statues during the process of producing(More)