Use of Intelligent Agents in the Learning Process Management Tasks

被引：0
|
作者：
Kotova, E. E. [1 ]
机构：
[1] St Petersburg Electrotech Univ LETI, Dept Automat & Control Proc, St Petersburg, Russia
来源：
2017 IEEE II INTERNATIONAL CONFERENCE ON CONTROL IN TECHNICAL SYSTEMS (CTS) | 2017年
关键词：
learning process; dynamic approach; analytical methods; Intelligent agents; management model; didactic resources; learning content; DYNAMIC-SYSTEMS MODEL; DEVELOPMENTAL MECHANISMS; VYGOTSKY; PIAGET;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Advances in modeling and knowledge representation, data mining, semantic Internet, analytical methods and open data are the basis for new models of knowledge analysis. The growth of information and data exceeds the ability of organizations to analyze them. This problem is particularly expressed in terms of knowledge and learning processes. Analytical methods can be successfully applied in studying trends and planning changes at the level of training courses, programs, innovative scientific directions of training specialists. Intelligent agents are used to analyze student's data and contexts in order to understand and optimize the learning environment and didactic resources.
引用
收藏
页码：180 / 183
页数：4
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