POWRE: Smart Object Interfaces for Collaborative Learning Environments

POWRE：协作学习环境的智能对象接口

• 批准号: 9720470
• 负责人: Lori Scarlatos
• 金额: $ 2.03万
• 依托单位: CUNY Brooklyn College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-01-01 至 1999-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9720470&HistoricalAwards=false
• 关键词: POWRE; Smart; Object; Interfaces; Collaborative

9720470 Scarlatos, Lori L. CUNY Brooklyn College Smart Object Interfaces for Collaborative Learning Environments Smart objects are physical objects that serve as input devices to a computer system. This effort aims to use pieces of a physical puzzle -- such as the Towers of Hanoi -- as smart objects that will help K-12 students to understand and appreciate mathematical and scientific concepts. The goal is to reach those students who are currently turned off by math and science, providing a way for them to learn collaboratively by manipulating real objects in the world around them. The PI will use this planning grant to study the feasibility of this new research direction, and to devise a sound technical approach for implementing smart object interfaces for collaborative learning environments. Unlike traditional interfaces, a computer system employing smart objects must track multiple input devices in a three-dimensional space in real time, distinguishing between objects and accounting for precision errors. Current sensor technologies are being examined to discover their capabilities and limitations. The PI is talking with other researchers and sensor experts and also exploring the software issues, aiming to ultimately develop a set of smart object interface tools. This effort will culminate in a long-term research plan and the beginnings of a new research laboratory.

9720470 Scarlatos，洛里L. 纽约市立大学布鲁克林学院 协作学习环境中的智能对象接口 智能对象是物理对象， 计算机系统.这项努力旨在利用物理拼图的碎片-- 比如河内塔--作为智能物体， 学生理解和欣赏数学和科学概念。我们的目标是接触那些目前对数学和科学不感兴趣的学生，为他们提供一种通过操纵周围世界中的真实的物体来协作学习的方法。 PI将使用这笔规划补助金来研究这个新研究方向的可行性，并设计一个合理的技术方法来实现协作学习环境的智能对象接口。与传统界面不同，采用智能对象的计算机系统必须在三维空间中真实的时间内跟踪多个输入设备，区分对象并考虑精度误差。 目前的传感器技术正在研究，以发现其能力和局限性。PI正在与其他研究人员和传感器专家讨论，并探索软件问题，旨在最终开发一套智能对象接口工具。这一努力将最终导致一个长期的研究计划和一个新的研究实验室的开始。