NRI-Small: Human-Robot Collectives as a Curriculum-Wide CS Learning Platform

NRI-Small：作为全课程 CS 学习平台的人机集体

• 批准号: 1208566
• 负责人: Zack Butler
• 金额: $ 26.69万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2015-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1208566&HistoricalAwards=false
• 关键词: NRI; Small; Human; Robot; Collectives

The following project is an effort to re-conceptualize what it means to study computer science at the undergraduate level. Based on years of research and curriculum development, the project team at the Rochester Institute of Technology (RIT) is collectively building on prior work to design a sequence of computer science courses that integrate the use of a network of robots to facilitate student learning. In this project, the co-robot teams share space and tasks with humans and are used as a teaching platform in an introductory context, and as a laboratory platform for projects in intermediate and upper-level courses in which students can develop and even invent new services. This approach enhances a traditional approach to teaching computer science and provides ample opportunities for students to design, test, and evaluate using co-robot systems. The project focuses on three main goals: (1) Develop a co-robot platform that can be used by undergraduates of all levels within the existing curriculum and is adoptable by other universities; (2) Improve student engagement and learning of core CS concepts through modules that use the co-robot platform; and (3) Develop undergraduate students with a thorough understanding of co-robot systems and their potential applications. The project team is developing modules aimed at an introductory sequence, data management, and networking. Coupled with module development, there is heavy emphasis on building suitable hardware that will serve the needs of students, giving them the flexibility to develop new applications (code) to operate and manipulate the co-robotics systems. The project measures the impact of the new approach on student outcomes through both qualitative and quantitative measures, with the intent of disseminating the model and technology beyond the context of RIT. As such, the project will enhance the knowledge base about the effective use of co-robotics systems in traditional undergraduate computer science courses.

下面的项目是重新定义在本科阶段学习计算机科学意味着什么的努力。基于多年的研究和课程开发，罗切斯特理工学院（RIT）的项目团队正在共同构建先前的工作，设计一系列计算机科学课程，这些课程集成了机器人网络的使用，以促进学生的学习。在这个项目中，协作机器人团队与人类共享空间和任务，在入门环境中用作教学平台，在中高级课程中用作项目的实验室平台，学生可以在其中开发甚至发明新的服务。这种方法增强了传统的计算机科学教学方法，并为学生使用协作机器人系统进行设计、测试和评估提供了充足的机会。该项目主要有三个目标：(1)开发一个协作机器人平台，可以在现有课程范围内供各级本科生使用，并被其他大学采用；(2)通过使用协同机器人平台的模块，提高学生的参与度和核心CS概念的学习；(3)培养对协同机器人系统及其潜在应用有透彻理解的本科生。项目团队正在开发旨在介绍序列、数据管理和网络的模块。再加上模块开发，重点是构建适合学生需求的硬件，使他们能够灵活地开发新的应用程序（代码）来操作和操纵协同机器人系统。该项目通过定性和定量的方法来衡量新方法对学生成绩的影响，目的是在RIT的背景下传播模型和技术。因此，该项目将增强在传统的本科计算机科学课程中有效使用协同机器人系统的知识库。