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机构地区:[1]沈阳工业大学信息科学与工程学院,沈阳110023 [2]沈阳工业大学建筑工程学院,沈阳110023
出 处:《沈阳工业大学学报》2008年第1期102-107,共6页Journal of Shenyang University of Technology
摘 要:为了改善传统的基于Web的远程教育缺陷,提出了一种基于MAS(多Agent系统)的远程教学模型,并利用Agent的智能推理能力对模型中的核心模块——学生模型进行设计.采用模糊理论进行智能推理,并给出了学生知识水平估算和学生情绪估算的Agent的推理算法.采用JAVA2将学生模型在自测系统中得以实现,并分析了测试结果.该系统推理算法简单有效,增强了远程教学的智能性和适应性,可有效改善教学效果.For improving the deficiencies of traditional web-based distance tutoring system models, a kind of MAS (Multi-Agent System)-based distance tutoring model was proposed. The core model, that is student model, was designed using the intelligence reasoning ability of agent. The intelligence reasoning was performed through fuzzy theories. The reasoning algorithm of agent for estimating knowledge level and emotion of students was given. In self-testing system, the student model was realized using JAVA2, and the testing results were analyzed. The reasoning algorithm of the system is simple and effective, and also enhances the intelligence and adaptability of distance tutoring, which can improve the teaching result effectively.
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