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Modeling and Measuring Self-Regulated Learning in Teachable Agent Environments

机译:可教授环境中的建模与衡量自我监管学习

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Our learning by teaching environment has students take on the role and responsibilities of a teacher to a virtual student named Betty. The environment is structured so that successfully instructing their teachable agent requires the students to learn and understand science topics for themselves. This process is supported by adaptive scaffolding and feedback from the system. This feedback is instantiated through the interactions with the teachable agent and a mentor agent, named Mr. Davis. This paper provides an overview of two studies that were conducted with 5th grade science students and a description of the analysis techniques that we have developed for interpreting students' activities in this learning environment.
机译:我们教学环境的学习使学生承担了教师对名为贝蒂的虚拟学生的作用和责任。环境是结构化的,以便成功指导其可教代理需要学生为自己学习和理解科学主题。该过程得到了自适应脚手架和系统反馈支持。通过与可教药剂和导师代理的相互作用来实例化该反馈,命名为戴维斯先生。本文概述了两项研究,其中两项研究是用5年级的科学学生进行的,并对我们开发的分析技术进行了描述,以便为解释学生在这个学习环境中的活动。

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