Distributed intelligent teaching system based on domain ontology and multi-agent

Abstract

The invention discloses a distributed intelligent teaching system based on domain ontology and multi-agent, and relates to the cross technical field of computer and education. The distributed intelligent teaching system based on domain ontology and multi-agent introduces a multi-agent structural model, increases a mental model in a student model of a student agent, takes the emotion factor of learning as a determination basis for a customized teaching strategy, and improves the intelligent degree of the teaching system. Based on a knowledge base of domain ontology, the distributed intelligent teaching system based on domain ontology and multi-agent further improves the information of a resource library so as to enable the customized teaching strategy to be more accurate, employs a distributed file system of Hadoop to perform data storage, realizes forming of a high performance machine through a common computer, is suitable for one-time-written and multi-time-read data and is suitable for a large scale of application. The distributed intelligent teaching system based on domain ontology and multi-agent utilizes a weighted least connections load balancing algorithm to realize load dynamic balance of cluster for the newly added node in a server cluster, and improves the response speed of a task request.

Description

technical field [0001] The invention belongs to the intersection of computer technology and education technology, and in particular relates to a distributed intelligent teaching system based on domain ontology and multi-agents. Background technique [0002] Intelligent Tutoring System (Intelligent Tutoring System, ITS) is an important research field in educational technology. It establishes an intelligent and personalized teaching environment with the help of computer network resources. [0003] ITS involves many disciplines, including artificial intelligence, comprehensive disciplines such as computer science, pedagogy, psychology, and behavioral science, and ultimately enables computers to act as guides for students' learning, enabling computer systems to be able to learn to a certain extent Playing the role of a teacher, realizing personalized teaching strategies for students, making up for the lack of teacher resources caused by the traditional one teacher having multipl...

AI Technical Summary

Problems solved by technology

[0004] However, with the continuous development of technology and the wide application of intelligent teaching systems, there are some deficiencies in the existing intelligent teaching systems: 1) the intelligence level of intelligent teaching systems is not high, and the personalized analysis of students needs to be improved; 2) The resource information database in the intelligent teaching system is not rich enough and needs to be further improved; 3) The intelligent teaching system is currently only applied to small-scale intelligent teaching

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