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Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic Agent.

机译:通过可教机器人代理人提供的提示来提高有形学习环境的负担。

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摘要

For this master's thesis, a unique set of cognitive prompts, designed to be delivered through a teachable robotic agent, were developed for students using Tangible Activities for Geometry (TAG), a tangible learning environment developed at Arizona State University. The purpose of these prompts is to enhance the affordances of the tangible learning environment and help researchers to better understand how we can design tangible learning environments to best support student learning. Specifically, the prompts explicitly encourage users to make use of their physical environment by asking students to perform a number of gestures and behaviors while prompting students about domain-specific knowledge. To test the effectiveness of these prompts that combine elements of cognition and physical movements, the performance and behavior of students who encounter these prompts while using TAG will be compared against the performance and behavior of students who encounter a more traditional set of cognitive prompts that would typically be used within a virtual learning environment. Following this study, data was analyzed using a novel modeling and analysis tool that combines enhanced log annotation using video and user model generation functionalities to highlight trends amongst students.
机译:对于该硕士论文,使用在亚利桑那州立大学开发的有形学习环境(TAG)为学生开发了一套独特的认知提示,旨在通过可教的机器人代理进行传递。这些提示的目的是提高有形学习环境的负担能力,并帮助研究人员更好地了解我们如何设计有形学习环境以最好地支持学生学习。具体而言,提示通过要求学生在提示学生有关领域特定知识的同时执行多种手势和行为来明确鼓励用户利用其物理环境。为了测试结合了认知和肢体动作要素的提示的有效性,我们将使用TAG时遇到这些提示的学生的表现和行为与遇到更传统的认知提示的学生的表现和行为进行比较。通常在虚拟学习环境中使用。这项研究之后,使用新颖的建模和分析工具对数据进行了分析,该工具结合了使用视频和用户模型生成功能的增强日志注释功能,以突出显示学生中的趋势。

著录项

  • 作者

    Thomas, Elissa.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Computer Science.;Education Technology of.
  • 学位 M.S.
  • 年度 2014
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:14

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