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Towards the Development of a Generalized Intelligent Framework for Tutoring (GIFT)

机译:致力于开发通用智能辅导框架(GIFT)

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This workshop provides the AIED community with an in-depth exploration of the Army Research Laboratory's effort to develop tools, methods and standards for Intelligent Tutoring Systems (ITS) as part of their Generalized Intelligent Framework for Tutoring (GIFT) research project. GIFT is a modular, service-oriented architecture developed to address authoring, instructional strategies, and analysis constraints currently limiting the use and reuse of ITS today. Such constraints include high development costs; lack of standards; and inadequate adaptability to support tailored needs of the learner. GIFT'S three primary objectives are to provide: (1)authoring tools for developing new ITS, ITS components (e.g., learner models, pedagogical models, user interfaces, sensor interfaces), tools, and methods based on authoring standards that support reuse and leverage external training environments; (2) an instructional manager that encompasses best tutoring principles, strategies, and tactics for use in ITS; and (3) an experimental testbed for analyzing the effect of ITS components, tools, and methods. GIFT is based on a learner-centric approach with the goal of improving linkages in the adaptive tutoring learning effect chain in Figure 1.
机译:该研讨会为AIED社区提供了对陆军研究实验室为开发智能辅导系统(ITS)的工具,方法和标准所做的努力的深入探索,这是其通用智能辅导框架(GIFT)研究项目的一部分。 GIFT是一种模块化的,面向服务的体系结构,旨在解决当前限制当今ITS使用和重用的创作,教学策略和分析约束。这些制约因素包括高昂的开发成本;缺乏标准;适应性不足,无法满足学习者的特定需求。 GIFT的三个主要目标是提供:(1)用于开发新的ITS,ITS组件(例如,学习者模型,教学模型,用户界面,传感器界面),工具和方法的创作工具,这些工具和方法基于支持重用和利用外部的创作标准培训环境; (2)指导经理,其中包括用于ITS的最佳辅导原则,策略和策略; (3)用于分析ITS组件,工具和方法的效果的实验性测试平台。 GIFT基于以学习者为中心的方法,旨在改善图1中的自适应补习学习效果链中的联系。

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