Supporting Early Learning of Computational Thinking Using Mixed Reality Technology

使用混合现实技术支持计算思维的早期学习

基本信息

  • 批准号:
    2048989
  • 负责人:
  • 金额:
    $ 72.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

This project will introduce young children to computational thinking, which involves breaking down complex problems into manageable pieces, identifying steps and sequences to solve the problem, and generalizing a solution to solve similar problems. Problem-solving skills are foundational and cut across science, technology, engineering, and mathematics (STEM) domains and disciplines. The project will research and develop an innovative mixed reality (MR) learning environment combining visual displays and a robot with programmable movement. Children in grades K-2 will program the robot to solve path-finding problems. Hints and obstacles in each problem scenario will be presented on a computer tablet. The project environment will be designed mainly for one-on-one use wirelessly and flexibly in either formal or informal settings. Participating children and teachers will be recruited through partnerships with schools in communities that have traditionally been underrepresented in STEM. The project design will be grounded in research on embodied cognition, culturally responsive teaching, child development, and human-computer interaction, to develop experiential, inclusive, and playful learning experiences. Three main research questions include 1) what design elements are critical for an effective MR environment? 2) how do children’s positive affect and understanding of sequences and symbols evolve as they participate in the task over time? and 3) what do teachers need to succeed as facilitators? To promote computational thinking skills, children will be engaged in path-finding tasks that will require them to guide a robot to arrive at a destination through the right path. The design of the learning environment and the research will be interwoven in an iterative cycle of design, testing, and development. in addition to traditional data collection methods, sensors will be employed for collection of children’s own movement data. The effectiveness of the environment on learners' understanding and positive affect will be examined by comparing the intervention group with a control group. Teachers will be involved from the start to incorporate their practical insights and feedback into designs, and the project team will implement teacher workshops in years 2 and 3 to better understand their needs. The project will disseminate project research findings and resources widely to researchers, designers, and educators. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目将向幼儿介绍计算思维,这涉及将复杂的问题分解为可管理的部分,确定解决问题的步骤和序列,并概括解决类似问题的解决方案。解决问题的技能是基础和跨科学,技术,工程和数学(STEM)领域和学科的削减。该项目将研究和开发一个创新的混合现实(MR)学习环境,结合了视觉显示和与可编程运动的机器人。 K-2年级的儿童将编程机器人以解决路径发现问题。在每个问题场景中,将在计算机平板电脑上呈现提示和障碍。项目环境将主要针对一对一的一对一使用,在正式或非正式设置中无线和灵活地使用。参与的儿童和教师将通过与传统在STEM中代表不足的社区的学校建立合作伙伴关系。项目设计将基于有关体现认知,文化响应式教学,儿童发展和人类计算机互动的研究,以发展经验,包容性和嬉戏的学习经验。三个主要研究问题包括1)哪些设计元素对于有效的MR环境至关重要? 2)随着时间的流逝,儿童对序列和符号的积极影响和理解如何发展? 3)教师作为促进者需要什么?为了促进计算思维能力,孩子将从事探路任务,这将要求他们指导机器人通过正确的道路到达目的地。学习环境和研究的设计将在设计,测试和开发的迭代循环中交织在一起。除了传统的数据收集方法外,传感器还将用于收集儿童自己的运动数据。环境对学习者理解和积极影响的有效性将通过将干预组与对照组进行比较来检查。从一开始,教师将参与其中,将他们的实用见解和反馈纳入设计中,项目团队将在第2和3年内实施教师研讨会,以更好地了解他们的需求。该项目将向研究人员,设计师和教育者广泛传播项目研究结果和资源。该项目是由学生和教师(ITEST)计划的创新技术经验资助的,该计划支持对实践,计划要素,环境,环境和过程的理解,从而有助于增加学生对科学,技术,工程和数学和数学(STEM)的知识和兴趣的促进知识和兴趣(STEM)以及通过ICT的信息(ICT)奖,以反映了NSF的启动奖,并反映了DEEM的宣传,并证明了该奖项。和更广泛的影响审查标准。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using Augmented Reality Technology to Support Young Students’ Embodied Learning Experience in Computational Tasks
使用增强现实技术支持年轻学生在计算任务中体现学习体验
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Kyungbin Kwon其他文献

Collaborative Learning in the Flipped University Classroom: Identifying Team Process Factors
翻转大学课堂中的协作学习:识别团队流程因素
  • DOI:
    10.3390/su14127173
    10.3390/su14127173
  • 发表时间:
    2022
    2022
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Suhkyung Shin;Kyungbin Kwon;Jiyoon Jung
    Suhkyung Shin;Kyungbin Kwon;Jiyoon Jung
  • 通讯作者:
    Jiyoon Jung
    Jiyoon Jung
Exploration of Factors in the Early Collaboration Phase Affecting Virtual Groups’ Overall Collaborative Learning Experiences
早期协作阶段影响虚拟小组整体协作学习体验的因素探讨
The Impact of an Issue-Centered Problem-Based Learning Curriculum on 6th Grade Girls’ Understanding of and Interest in Computer Science
以问题为中心、基于问题的学习课程对六年级女生对计算机科学的理解和兴趣的影响
  • DOI:
  • 发表时间:
    2021
    2021
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Anne T. Ottenbreit;Kyungbin Kwon;T. Brush;Michael Karlin;Minji Jeon;Katie Jantaraweragul;Meize Guo;H. Nadir;Fatih Gok;Parama Bhattacharya
    Anne T. Ottenbreit;Kyungbin Kwon;T. Brush;Michael Karlin;Minji Jeon;Katie Jantaraweragul;Meize Guo;H. Nadir;Fatih Gok;Parama Bhattacharya
  • 通讯作者:
    Parama Bhattacharya
    Parama Bhattacharya
Online lecture capturing system: Expected and actual effects of implementation in a problem-based learning medical curriculum
在线讲座捕捉系统:基于问题的学习医学课程实施的预期效果和实际效果
  • DOI:
    10.3109/0142159x.2014.956060
    10.3109/0142159x.2014.956060
  • 发表时间:
    2015
    2015
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Kyungbin Kwon;D. Saparova;K. Hoffman
    Kyungbin Kwon;D. Saparova;K. Hoffman
  • 通讯作者:
    K. Hoffman
    K. Hoffman
Fostering transfer of responsibility in the middle school PBL classroom: an investigation of soft scaffolding
促进中学 PBL 课堂中的责任转移:软脚手架的调查
  • DOI:
    10.1007/s11251-021-09539-4
    10.1007/s11251-021-09539-4
  • 发表时间:
    2021
    2021
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Haesol Bae;Krista D. Glazewski;T. Brush;Kyungbin Kwon
    Haesol Bae;Krista D. Glazewski;T. Brush;Kyungbin Kwon
  • 通讯作者:
    Kyungbin Kwon
    Kyungbin Kwon
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