基于智能教学代理的领域独立训练系统设计

C. Limongelli, Giovanni Mosiello, S. Panzieri, F. Sciarrone, A. Zoccoli
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引用次数: 0

摘要

通过虚拟环境进行培训的成功既归功于为行业节省了有趣的成本,也归功于为学习者带来了积极的结果。然而,这种方法背后的系统通常很难生成,因为它具有很强的领域依赖性,因此很难移植到其他领域。本文提出了一种基于仿真环境的领域独立训练系统的设计,能够在不同的领域,特别是在工业领域中重用,大大节省了成本。系统设计背后的主要思想是领域逻辑和培训师角色之间的分离。这种区别是通过采用模块化和灵活的基于代理的系统方法实现的。我们提出了第一个培训高级技术人员学习复杂介质张力设备维护程序的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a domain-independent training system based on a smart pedagogical agent
The success of training through virtual environments is due both to an interesting cost savings for industry and positive results for learners. However, the system behind this approach is usually hard to produce, being strongly domain-dependent and for this reason difficult to port on other domains. Here we present the design of a domain-independent training system based on simulation environments, capable to be reused in different domains and especially in the industrial ones, saving costs considerably. The main idea behind the system design is the separation between the domain logic and the trainer role. This distinction is achieved by the adoption of a modular and flexible agent-based system approach. We present a first case study for training advanced technicians to learn maintenance procedures for complex medium tension equipments.
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