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

• 批准号: 2309564
• 负责人: Voicu Popescu
• 金额: $ 40万
• 依托单位: Purdue University
• 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
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2309564&HistoricalAwards=false
• 关键词: Creating; Performance; Computing; Virtual; Environment

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.

该项目旨在通过为学习人工智能（AI）开发虚拟环境来服务国家利益。 AI的进步正在改变行业，政府和学术界的研究和发展。学习AI的关键挑战是，其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。 AI解决方案通常是一个黑匣子，缺乏可解释性，这使得很难获得见解，理解并最终发展AI的知识。该项目将开发一种实时互动工具，该工具将促进从所有纪律背景的学习者的AI知识和实践的发展。这样的工具将为学习干预措施的设计提供信息，这将使抽象和复杂的主题更容易访问。根据具体的认知理论的宗旨，该项目的结果将通过交互式可视化的脚手架来支持AI中的学习。设想的工具将从地面设计，以通过在常规显示器上使用虚拟现实耳机或非放置性的互动可视化来最大程度地支持AI教育。该项目将重点介绍AI中的基础主题，并将为基于纪律的教育研究做出贡献。这些发现将产生有关学生对AI构建的概念理解和对AI实践的程序理解的新知识。可视化环境的学习效率将首先在飞行员中进行迭代验证，然后在实验阶段，由普渡大学的一个跨学科社区组成的250名学习者组。 NSF IUSE：EHR计划支持研发项目，以提高所有学生STEM教育的有效性。通过其参与的学生学习轨道，该计划支持了承诺实践和工具的创建，探索和实施。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被视为通过评估而被视为珍贵的支持。

项目成果

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

• 发表时间: 2024
• 期刊: IEEE VR KELVAR Workshop: K-12+ Embodied Learning through Virtual and Augmented Reality
• 作者: Gu, Y.;Garcia, M.;Zhang, Y.;Magana, A. J.;Benes, B.;Popescu, V.
• 通讯作者: Popescu, V.