RAPID: DRL AI: Unlocking the Potential of Generative AI for Equity and Access in Robotics Education

RAPID：DRL AI：释放生成式 AI 的潜力，促进机器人教育的公平和访问

• 批准号: 2341190
• 负责人: Ross Higashi
• 金额: $ 20万
• 依托单位: Carnegie-Mellon 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: 2023-12-15 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2341190&HistoricalAwards=false
• 关键词: RAPID; DRL; AI; Unlocking; Potential

In the context of educational robotics, this RAPID project examines the educational equity potential of a task-oriented generative artificial intelligence (AI) tool to assist with creative productivity tasks in engineering design. This time-sensitive project will investigate how to support lower-performing learners through development and testing of an AI robot design assistant in a virtual robot-building game. Research will evaluate the design and implementation of the task-oriented generative AI tool and test the potential of generative AI assistance to close the equity gap in this specific context. This proposal was received in response to the Dear Colleague Letter (DCL): Rapidly Accelerating Research on Artificial Intelligence in K-12 Education in Formal and Informal Settings (NSF 23-097) and 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.The prototype system development and design-based research approach will explore the initial technical design space and uncover and define what are the more challenging problems for future research based on the prototype task-assistive AI tool. Outcomes include a platform for future research that could reach over 500,000 K-12 students, educators, and policymakers in its first year. A crossover-design classroom study will assess task performance and motivational effects of the tool, testing for greater impact among learners with lower prior robotics experience, as well as peripheral effects such as poor subsequent performance in the absence of the tool. Results will inform field-wide efforts to develop AI tools for advancing age-appropriate equitable learning, supporting interest in AI, and integrating generative AI in education in an ethical, responsible, and effective way.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.

在教育机器人技术的背景下，这个快速的项目研究了以任务为导向的生成人工智能（AI）工具的教育平等潜力，以协助工程设计中的创造性生产力任务。这个时间敏感的项目将研究如何通过在虚拟机器人构建游戏中开发和测试AI机器人设计助手来支持表现较低的学习者。研究将评估以任务为导向的生成AI工具的设计和实施，并测试在这种特定情况下生成AI援助以缩小权益差距的潜力。 This proposal was received in response to the Dear Colleague Letter (DCL): Rapidly Accelerating Research on Artificial Intelligence in K-12 Education in Formal and Informal Settings (NSF 23-097) and 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数学（STEM）以及信息与通信技术（ICT）职业。原型系统开发和基于设计的研究方法将探索最初的技术设计空间，并发现并定义基于原型任务辅助AI工具的未来研究更具挑战性的问题。结果包括一个未来研究的平台，该平台可能会在其第一年吸引超过500,000 K-12的学生，教育工作者和决策者。交叉设计的课堂学习将评估工具的任务绩效和动机效应，测试具有较低机器人技术经验的学习者之间的更大影响，以及外周效应，例如在没有工具的情况下后续性能较差。结果将为范围内的努力提供依据，以开发AI工具，以推动适合年龄的公平学习，支持对AI的兴趣，并以道德，负责任和有效的方式将生成性AI整合到教育中。​​该奖项反映了NSF的法定任务，并认为通过基金会的知识和更广泛的影响，可以通过评估来支持NSF的法定任务。