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首页> 外文会议>International conference on human-computer interaction;International conference on augmented cognition >Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring
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Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring

机译：在通用智能辅导框架中设计表示和对元认知的支持

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摘要

An important component of metacognition relates to the understanding and use of strategies. Thus, measuring and supporting students' strategy understanding in complex open-ended learning environments is an important challenge. However, measuring students' strategy use and understanding is a difficult undertaking. In this paper, we present our design for representing and supporting students in their understanding of strategies while working in complex, open-ended learning environments using the Generalized Intelligent Framework for Tutoring (GIFT). Our approach utilizes a wealth of previous research and relies on three primary instructional interventions: con-textualized conversational assessments and feedback; reviewing knowledge and strategies; and teaching through analogies. We believe that incorporating these approaches into GIFT will allow for powerful instruction of complex tasks and topics.
机译：元认知的重要组成部分涉及对策略的理解和使用。因此，在复杂的开放式学习环境中衡量和支持学生的策略理解是一项重要的挑战。但是，衡量学生的策略使用和理解是一项艰巨的任务。在本文中，我们介绍了我们的设计，用于表示和支持学生使用通用智能辅导框架（GIFT）在复杂的开放式学习环境中工作时对策略的理解。我们的方法利用了以前的大量研究成果，并依靠三种主要的教学干预措施：语境化的会话评估和反馈;审查知识和策略;和通过类比教学。我们相信将这些方法整合到GIFT中将可以对复杂的任务和主题进行有力的指导。

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