Research on Network Teaching Mode Based on Multi-agent

Jie Liang, Wen He
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Abstract

The traditional network teaching model focuses on "teaching", neglects the individualization and humanization of education, has the blindness of learning, and lacks effective interaction and collaborative learning, seriously affecting the efficiency and sustainability of online learning. In this paper, distributed artificial intelligence multi-agent technology is applied to the network teaching system, through the intelligent Agent to achieve the purpose of targeted learning, in order to improve the learner's enthusiasm.
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基于多智能体的网络教学模式研究
传统的网络教学模式以“教”为中心,忽视了教育的个性化和人性化,具有学习的盲目性,缺乏有效的互动和协作学习,严重影响了在线学习的效率和可持续性。本文将分布式人工智能多Agent技术应用到网络教学系统中,通过智能Agent达到针对性学习的目的,以提高学习者的学习积极性。
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