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The System of Knowledge Control Based on Adaptive Semantic Models

机译:基于自适应语义模型的知识控制系统

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The existing automated systems of training and knowledge control have a rigid structure, do not fully take into account students' individual characteristics, i.e. are not non-adaptive. To build adaptive learning systems, along with knowledge about the subject, it is necessary to have some information about knowledge and goals of students (a user model). Considering a user model allows developing adaptive learning systems that identify the level of knowledge of students and, accordingly, provide each user with an individual learning path and an individual electronic textbook. The article presents one of the options for building adaptive learning systems and knowledge control based on the use of achievements of Cybernetics, synergetics, and the theory of artificial intelligence.
机译:现有的培训和知识控制的自动化系统具有刚性结构,不完全考虑学生的个人特征,即不是非自适应。为了构建自适应学习系统,以及关于该主题的知识,有必要有一些关于学生的知识和目标的信息(用户模型)。考虑用户模型允许开发识别学生的知识水平的自适应学习系统,并因此为每个用户提供单独的学习路径和单个电子教科书。本文介绍了基于使用网络通知,协同学和人工智能理论的实现自适应学习系统和知识控制的选项之一。

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