Metaphor-Based Learning of Physics Concepts Through Whole-Body Interaction in a Mixed Reality Science Center Exhibit

混合现实科学中心展览中通过全身交互进行基于隐喻的物理概念学习

基本信息

项目摘要

This research project, from The University of Central Florida, and the Museum of Science and Industry, investigates a three-cycle research and development process where middle school student learners will be immersed in a mixed reality environment while interacting with functional metaphors to determine the effects of conceptual change, motivation and scientific habits of mind while engaged in learning physics content. The project is guided by the following research questions: How does the opportunity to embody elements of an immersive simulation affect a learner's propensity to experience conceptual change and develop scientific habits of mind? What design features of missed reality environments best support metaphors? What metrics are most effective for assessing learning through body-based metaphors? What are the practical considerations to creating immersive metaphor-based learning experiences in ISE institutions such as a Science Center?The investigators will use a between subjects mixed method approach with middle school students (N = 360) involving three research cycles that are performed in controlled conditions. The multiple iterations will allow modifications to the study's design to dig deeper into the data and afford more careful analysis, revisions and modifications to simulation content, protocol and data collection instruments and the technology installation. Middle school students will be recruited from local schools and the Museum of Science and Industry visitors. The evaluation plan includes the assessment of perceived values of using whole-body metaphors within mixed reality environments to learn physics. Professional audiences, educators and ISE practitioners will assess the impact, design and content associated with research on learning, mixed reality design, science and physics education. Research on understanding the process of using whole-body interactions in a mixed reality environments will help educational researchers and practitioners in the field understand the effectiveness of metaphor based learning of scientific concepts with whole body interactions. This project contributes knowledge about how people learn within informal settings. This theory-driven design approach has the potential for broad implementation in both formal and informal environments.
这项研究项目,从中央佛罗里达大学,科学与工业博物馆,调查了一个三个周期的研究和开发过程中,中学生学习者将沉浸在一个混合现实环境中,同时与功能隐喻互动,以确定概念变化,动机和科学习惯的影响,而从事学习物理内容。该项目是由以下研究问题的指导:如何体现沉浸式模拟元素的机会影响学习者的倾向,体验概念的变化和发展科学的思维习惯?什么样的设计特征最能支持隐喻?什么样的度量标准对于评估通过基于身体的隐喻进行的学习是最有效的?在伊势机构(如科学中心)中创建沉浸式基于隐喻的学习体验的实际考虑是什么?研究人员将对中学生(N = 360)使用受试者间混合方法,涉及在受控条件下进行的三个研究周期。多次迭代将允许修改研究的设计,以更深入地挖掘数据,并对模拟内容、协议和数据收集工具以及技术安装进行更仔细的分析、修订和修改。中学学生将从当地学校和科学与工业博物馆的游客招募。评估计划包括评估在混合现实环境中使用全身隐喻学习物理的感知价值。专业观众,教育工作者和伊势从业者将评估与学习,混合现实设计,科学和物理教育研究相关的影响,设计和内容。了解在混合现实环境中使用全身交互的过程的研究将有助于该领域的教育研究人员和实践者了解基于隐喻的全身交互科学概念学习的有效性。该项目有助于了解人们如何在非正式环境中学习。这种理论驱动的设计方法有可能在正式和非正式的环境中广泛实施。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Robb Lindgren其他文献

Science Sims and Games: Best Design Practices and Fave Flops
科学模拟和游戏:最佳设计实践和最喜欢的失败
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Johnson;Caroline Savio;K. Perkins;Emily B. Moore;Robb Lindgren;Douglas B. Clark;C. Brady;P. Sengupta;Mario Martinez;Deanne Adams;Stephen S. Killingsworth;G. V. Eaton;M. Gaydos;Amanda Barany;K. Squire;N. Holbert
  • 通讯作者:
    N. Holbert
Virtual Environments as a Tool for Conceptual Learning
虚拟环境作为概念学习的工具
  • DOI:
    10.1201/b17360-48
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Robb Lindgren;J. Moshell;C. Hughes
  • 通讯作者:
    C. Hughes
Embodying Climate Change: Incorporating Full Body Tracking in the Design of an Interactive Rates of Change Greenhouse Gas Simulation
体现气候变化:将全身跟踪纳入交互式温室气体变化率模拟的设计中
Enactive Metaphors: Learning Through Full-Body Engagement
  • DOI:
    10.1007/s10648-015-9327-1
  • 发表时间:
    2015-07-16
  • 期刊:
  • 影响因子:
    8.800
  • 作者:
    Shaun Gallagher;Robb Lindgren
  • 通讯作者:
    Robb Lindgren
“I got to see, and I got to be a part of it”: How cued gesturing facilitates middle‐school students' explanatory modeling of thermal conduction
“我必须看到,我必须成为其中的一部分”:提示手势如何促进中学生的热传导解释模型

Robb Lindgren的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Robb Lindgren', 18)}}的其他基金

Collaborative Research: Haptic Technology Innovations to Guide Student Gesturing with Dynamic STEM Visualizations
合作研究:触觉技术创新通过动态 STEM 可视化指导学生手势
  • 批准号:
    2202469
  • 财政年份:
    2022
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Standard Grant
Connections of Earth and Sky with Augmented Reality (CEASAR): Transforming Collaborative Learning Practices with Shared and Embedded Digital Models
地球和天空与增强现实的连接 (CEASAR):通过共享和嵌入式数字模型转变协作学习实践
  • 批准号:
    1822796
  • 财政年份:
    2018
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Standard Grant
Embodied Explanatory Expressions for Facilitating Science Reasoning and Enhancing Interactive Simulations
促进科学推理和增强交互式模拟的具体解释表达式
  • 批准号:
    1432424
  • 财政年份:
    2014
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Continuing Grant
DIP: Developing Crosscutting Concepts in STEM with Simulation and Embodied Learning
DIP:通过模拟和体现学习开发 STEM 中的交叉概念
  • 批准号:
    1441563
  • 财政年份:
    2014
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Standard Grant
Metaphor-Based Learning of Physics Concepts Through Whole-Body Interaction in a Mixed Reality Science Center Exhibit
混合现实科学中心展览中通过全身交互进行基于隐喻的物理概念学习
  • 批准号:
    1417966
  • 财政年份:
    2013
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Continuing Grant

相似国自然基金

Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    外国青年学者研究基金项目
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
  • 批准号:
    W2433169
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    外国学者研究基金项目
基于tag-based单细胞转录组测序解析造血干细胞发育的可变剪接
  • 批准号:
    81900115
  • 批准年份:
    2019
  • 资助金额:
    21.0 万元
  • 项目类别:
    青年科学基金项目
应用Agent-Based-Model研究围术期单剂量地塞米松对手术切口愈合的影响及机制
  • 批准号:
    81771933
  • 批准年份:
    2017
  • 资助金额:
    50.0 万元
  • 项目类别:
    面上项目
Reality-based Interaction用户界面模型和评估方法研究
  • 批准号:
    61170182
  • 批准年份:
    2011
  • 资助金额:
    57.0 万元
  • 项目类别:
    面上项目
Multistage,haplotype and functional tests-based FCAR 基因和IgA肾病相关关系研究
  • 批准号:
    30771013
  • 批准年份:
    2007
  • 资助金额:
    30.0 万元
  • 项目类别:
    面上项目
差异蛋白质组技术结合Array-based CGH 寻找骨肉瘤分子标志物
  • 批准号:
    30470665
  • 批准年份:
    2004
  • 资助金额:
    8.0 万元
  • 项目类别:
    面上项目
GaN-based稀磁半导体材料与自旋电子共振隧穿器件的研究
  • 批准号:
    60376005
  • 批准年份:
    2003
  • 资助金额:
    20.0 万元
  • 项目类别:
    面上项目

相似海外基金

CAREER: Data-Enabled Neural Multi-Step Predictive Control (DeMuSPc): a Learning-Based Predictive and Adaptive Control Approach for Complex Nonlinear Systems
职业:数据支持的神经多步预测控制(DeMuSPc):一种用于复杂非线性系统的基于学习的预测和自适应控制方法
  • 批准号:
    2338749
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Standard Grant
CRII: OAC: A Compressor-Assisted Collective Communication Framework for GPU-Based Large-Scale Deep Learning
CRII:OAC:基于 GPU 的大规模深度学习的压缩器辅助集体通信框架
  • 批准号:
    2348465
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Standard Grant
CAREER: Mitigating the Lack of Labeled Training Data in Machine Learning Based on Multi-level Optimization
职业:基于多级优化缓解机器学习中标记训练数据的缺乏
  • 批准号:
    2339216
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Continuing Grant
Investigating the potential for developing self-regulation in foreign language learners through the use of computer-based large language models and machine learning
通过使用基于计算机的大语言模型和机器学习来调查外语学习者自我调节的潜力
  • 批准号:
    24K04111
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
CAREER: Facilitating Autonomy of Robots Through Learning-Based Control
职业:通过基于学习的控制促进机器人的自主性
  • 批准号:
    2422698
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Continuing Grant
STTR Phase II: Optimized manufacturing and machine learning based automation of Endothelium-on-a-chip microfluidic devices for drug screening applications.
STTR 第二阶段:用于药物筛选应用的片上内皮微流体装置的优化制造和基于机器学习的自动化。
  • 批准号:
    2332121
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Cooperative Agreement
SHF: Small: Hardware-Software Co-design for Privacy Protection on Deep Learning-based Recommendation Systems
SHF:小型:基于深度学习的推荐系统的隐私保护软硬件协同设计
  • 批准号:
    2334628
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Standard Grant
SBIR Phase I: Lightweight Learning-based Camera Image Signal Processing (ISP) for Photon-Limited Imaging
SBIR 第一阶段:用于光子限制成像的轻量级基于学习的相机图像信号处理 (ISP)
  • 批准号:
    2335309
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Standard Grant
A Novel Contour-based Machine Learning Tool for Reliable Brain Tumour Resection (ContourBrain)
一种基于轮廓的新型机器学习工具,用于可靠的脑肿瘤切除(ContourBrain)
  • 批准号:
    EP/Y021614/1
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Research Grant
An investigation of the role of teacher intervention in effective digital game-based vocabulary learning
教师干预在有效的基于数字游戏的词汇学习中的作用的调查
  • 批准号:
    24K04078
  • 财政年份:
    2024
  • 资助金额:
    $ 141.81万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了