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Combining Agents and Ontologies for Building an Intelligent Tutoring System

机译：结合代理和本体构建智能辅导系统

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In this paper an approach for building an intelligent tutoring system is presented, based on a multi-agent architecture and combined with ontologies for knowledge representation. The system developed is focused on a bottom up, reactive generation of an active sequence of knowledge units regarding a set of adjustable, high level learning goals. The learning process begins with a set of simple learning goals that require a few learning objects and as the educational process proceeds, the student has to achieve higher learning outcomes that combine other low level outcomes which have been already achieved. The system is able to adapt to student's learning profile and progress by applying proper learning tactics to prioritize through a weight calculation scheme the sequence of the learning outcomes to achieve. The main components of the system consisting of ontological models of the learner and the subject under study, gateway agents and tutor agents with their core modules (learning space management and learning tactics control) are explained and a detailed description of their interaction is given in the context of an example application. Finally, the advantages of the proposed approach are laid out, especially in the setting of a distance learning education system.
机译：在本文中，基于多代理体系结构并结合知识表示的本体，提出了一种构建智能辅导系统的方法。开发的系统专注于底部，反应生成关于一组可调，高水平的学习目标的知识单元的活性序列。学习过程始于一系列简单的学习目标，需要一些学习对象并随着教育过程的收益，学生必须实现与已经实现的其他低级结果相结合的更高的学习结果。该系统能够通过应用正确的学习策略通过权重计算方案应用正确的学习策略来适应学生的学习资料和进展，以实现学习结果的序列。由学习者的本体和主题组成的系统的主要组成部分解释，具有其核心模块（学习空间管理和学习策略控制）的研究，网关代理和导师代理商（学习空间管理和学习策略控制），并在其中给出了它们的相互作用的详细描述示例应用程序的上下文。最后，拟议方法的优点是制定，特别是在远程学习教育系统的设置中。

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