Creating a High-Performance Computing Virtual Environment for Artificial Intelligence Education

为人工智能教育打造高性能计算虚拟环境

基本信息

  • 批准号:
    2309564
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-06-15 至 2025-05-31
  • 项目状态:
    未结题

项目摘要

This project aims to serve the national interest by developing a virtual environment for learning Artificial Intelligence (AI). Advances in AI are transforming research and development across industries, government, and academia. A key challenge in learning AI is that its solutions are less transparent than traditional algorithmic solutions that mimic high-level human reasoning. AI solutions are often a black box, lacking interpretability, which makes it hard to gain insights, understand, and ultimately develop knowledge in AI. This project will develop a real-time interactive tool that will promote the development of AI knowledge and practices of learners from all disciplinary backgrounds. Such a tool will inform the design of learning interventions that will make abstract and complex topics more accessible. The outcomes of this project will support learning in AI with the scaffolding of interactive visualization, according to tenets of embodied cognition theories. The envisioned tool will be designed from the ground up to best support AI education through interactive visualization that is either immersive, using virtual reality headsets, or non-immersive, on conventional displays. The project will focus on foundational topics in AI and will contribute to discipline-based education research in AI education. The findings will generate new knowledge about students’ conceptual understanding of AI constructs and procedural understanding of AI practices. The visualization environment’s learning effectiveness will be validated iteratively first in a pilot and then in an experimental stage, with a diverse group of 250 learners from an interdisciplinary community at Purdue University. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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.
该项目旨在通过开发学习人工智能(AI)的虚拟环境来服务于国家利益。人工智能的进步正在改变行业、政府和学术界的研究和开发。学习人工智能的一个关键挑战是,它的解决方案不如模仿高级人类推理的传统算法解决方案透明。人工智能解决方案通常是一个黑盒子,缺乏可解释性,这使得很难获得洞察力,理解并最终开发人工智能知识。该项目将开发一个实时交互式工具,促进来自所有学科背景的学习者的人工智能知识和实践的发展。这种工具将为设计学习干预措施提供信息,使抽象和复杂的主题更容易理解。根据具身认知理论的原则,该项目的成果将支持人工智能中的学习,并以交互式可视化为框架。设想的工具将从头开始设计,通过交互式可视化来最好地支持人工智能教育,这种可视化可以是沉浸式的,使用虚拟现实耳机,也可以是非沉浸式的,在传统显示器上。该项目将专注于人工智能的基础主题,并将有助于人工智能教育中基于学科的教育研究。这些发现将产生关于学生对AI结构的概念理解和对AI实践的程序理解的新知识。可视化环境的学习效果将首先在试点中进行迭代验证,然后在实验阶段,来自普渡大学跨学科社区的250名学习者组成的多元化小组。NSF IUSE:EHR计划支持研究和开发项目,以提高所有学生STEM教育的有效性。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

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)
An XR Environment for AI Education: Design and First Implementation
人工智能教育的 XR 环境:设计和首次实施
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Voicu Popescu其他文献

Fast Ray-Scene Intersection for Interactive Shadow Rendering with Thousands of Dynamic Lights
使用数千个动态灯光进行交互式阴影渲染的快速光线场景相交
A Partially-Sorted Concentric Layout for Efficient Label Localization in Augmented Reality
用于增强现实中高效标签定位的部分排序同心布局
GEARS: A General and Efficient Algorithm for Rendering Shadows
GEARS:一种通用且高效的阴影渲染算法
  • DOI:
    10.1111/cgf.12348
  • 发表时间:
    2014-09
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Lili Wang;Shiheng Zhou;Wei Ke;Voicu Popescu
  • 通讯作者:
    Voicu Popescu
Quantifiable Fine-Grain Occlusion Removal Assistance for Efficient VR Exploration
可量化的细粒度遮挡去除辅助,可实现高效的 VR 探索
Look-over-there: Real-World Co-Located Cross-Referencing Using Augmented Reality
在那里查看:使用增强现实进行现实世界的协同定位交叉引用
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yuqi Zhou;Voicu Popescu
  • 通讯作者:
    Voicu Popescu

Voicu Popescu的其他文献

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{{ truncateString('Voicu Popescu', 18)}}的其他基金

Collaborative Research: CISE-MSI: DP: HCC: Buenas - Giving All a Seat at the Table Using Mixed Reality
协作研究:CISE-MSI:DP:HCC:布埃纳斯 - 使用混合现实为所有人提供席位
  • 批准号:
    2318657
  • 财政年份:
    2023
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
HCC: Small: Super Reality -- Immersive Visual Interfaces with No Line-of-Sight Restriction
HCC:小:超现实——无视线限制的沉浸式视觉界面
  • 批准号:
    2219842
  • 财政年份:
    2022
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
EXP: Collaborative Research: A System of Animation Gestures for Effective Teaching Avatars
EXP:协作研究:用于有效教学头像的动画手势系统
  • 批准号:
    1217215
  • 财政年份:
    2012
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CRCD/EI: Effective Distance Learning Through Sustained Interactivity and Visual Realism
CRCD/EI:通过持续的交互性和视觉真实感实现有效的远程学习
  • 批准号:
    0417458
  • 财政年份:
    2004
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant

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