Using agent-based adaptive learning environments for knowledge sharing management

Cecilia Estela Giuffra Palomino, R. Silveira, Marina Keiko Nakayama
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引用次数: 5

Abstract

This paper describes how an intelligent or adaptive learning management systems (LMSs) based on multiagent systems is useful and effective for knowledge sharing engineering or management. A complete model of intelligent learning environment based on intelligent tutoring systems (ITSs) using software agents is described, and a prototype based on this model was designed and constructed using the Moodle LMS as a case study. The proposed adaptive model takes into account how the users use to access the subject matter resources and how much can be perceived that they succeed on activities proposed by the knowledge engineer. The agents interact with the users by sending messages to them, and manage the knowledge sharing by changing the resources and activities available by the knowledge engineer. Thus, the agents perform the actions previously defined by the knowledge engineer, in a personalised and adaptive way according to each user's personal way of learning.
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利用基于代理的自适应学习环境进行知识共享管理
本文描述了基于多智能体系统的智能或自适应学习管理系统(lms)在知识共享工程或管理中的实用性和有效性。描述了基于软件代理的基于智能辅导系统的智能学习环境的完整模型,并以Moodle LMS为例,设计并构建了基于该模型的原型。所建议的自适应模型考虑到用户如何使用访问主题资源,以及他们在知识工程师所建议的活动中能够感知到多少成功。代理通过向用户发送消息与用户进行交互,并通过更改知识工程师可用的资源和活动来管理知识共享。因此,代理根据每个用户的个人学习方式,以个性化和自适应的方式执行知识工程师先前定义的动作。
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