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Using Ontological Engineering to Organize Learning/Instructional Theories and Build a Theory-Aware Authoring System

机译:使用本体工程来组织学习/教学理论并构建具有理论意识的创作系统

摘要

This paper describes the achievements of an innovative eight-year research program first introduced in Mizoguchi and Bourdeau (2000), which was aimed at building a theory-aware authoring system by using ontological engineering. To date, we have proposed OMNIBUS, an ontology that comprehensively covers different learning/instructional theories and paradigms, and SMARTIES, a theory-aware and standards-compliant authoring system to create learning/instructional scenarios based on OMNIBUS. This approach was intended to bridge the gap between theory and practice in scientific and technological development, including learning/instruction support. The goals of this study included the following: that computers would (a) understand a variety of learning/instructional theories based on their organization, (b) utilize such understanding to help authors build learning/instructional scenarios, and (c) make such theoretically sound scenarios interoperable within the framework of technology standards. This paper suggests an ontological engineering solution to achieve these three goals and describes the implementation and feasibility demonstrations of the basic functions of SMARTIES, a solution that supports the design of learning/instructional scenarios based on multiple theories. Although the evaluation is far from complete in terms of practical use, we believe that the results of this study speak to high-level technical challenges of ITS authoring systems and the other areas of AIED, and therefore constitute a substantial contribution.
机译:本文描述了在Mizoguchi和Bourdeau(2000)中首次引入的一项为期八年的创新研究计划的成果,该计划旨在通过使用本体工程来构建具有理论意识的创作系统。迄今为止,我们已经提出了OMNIBUS(一种可全面涵盖不同学习/教学理论和范式的本体)和SMARTIES(一种基于理论的,符合标准的创作系统,可基于OMNIBUS创建学习/教学场景)。这种方法旨在弥合科学和技术发展(包括学习/指导支持)方面理论与实践之间的差距。这项研究的目标包括以下内容:计算机将(a)根据其组织理解各种学习/指导理论,(b)利用这种理解来帮助作者建立学习/指导情景,以及(c)在理论上做出这种选择在技​​术标准框架内可互操作的合理方案。本文提出了一个用于实现这三个目标的本体工程解决方案,并描述了SMARTIES基本功能的实现和可行性演示,该解决方案支持基于多种理论的学习/教学场景设计。尽管就实际使用而言,评估还远远没有完成,但我们认为,这项研究的结果表明了ITS创作系统和AIED其他领域的高水平技术挑战,因此构成了实质性贡献。

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