RAPID DRL AI: Empowering Teachers to Collaborate with Generative AI for Developing High-Quality STEM Learning Resources

RAPID DRL AI：让教师能够与生成式 AI 协作开发高质量的 STEM 学习资源

• 批准号: 2335975
• 负责人: Xu Wang
• 金额: $ 20万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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: 2023-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335975&HistoricalAwards=false
• 关键词: RAPID; DRL; AI; Empowering; Teachers

The rapid advances in large language models (LLMs) have presented tremendous opportunities to create interactive, personalized learning resources on a large scale. To fully harness the educational potential of these technologies, it is crucial that teachers - who are at the forefront of daily student interaction and possess indispensable knowledge and expertise - serve as key contributors in the process. This time-sensitive project addresses the urgent need for viable mechanisms to empower teachers to harness the capabilities of LLMs through a teacher-AI collaboration paradigm in the context of learning through video. The research team will partner with WGBH Educational Foundation (GBH), Boston’s PBS station, to support teachers in creating and customizing an intelligent tutor that accompanies the STEM learning resources available on PBS LearningMedia, a platform already popular among teachers nationwide, with a comprehensive library of over 5,000 high quality STEM-focused videos and millions of users. 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.Intelligent tutors will be incorporated into videos and pose comprehension questions to students and provide personalized feedback during video viewing. The team will iteratively design and develop a teacher-AI collaborative platform that allows teachers to oversee the intelligent tutors’ generation of question sequences and feedback. The platform will provide "LLM building blocks" for teachers to steer LLMs to generate desirable outputs. Thus, teachers maintain control over the tutors' instructional dialogue with students, ensuring such dialogue aligns with teachers’ instructional objectives and the unique needs of their students. The team will then generate evidence demonstrating the feasibility and potential effectiveness of the proposed mechanism and specific design strategies that enable non-technical domain experts to have significant involvement in the development of AI-based educational resources. This project has the potential for a substantial broader impact, as it builds upon the existing PBS LearningMedia platform. This ensures the sustainability of the proposed platform and reach a large number of educators. By making the platform publicly available, this research will enable educators to continue generating interactive videos that cater to their specific educational needs. This work holds the promise of democratizing access to AI for teachers and promoting their active involvement in the production of AI-based learning resources.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.

大语言模型（LLM）的快速发展为大规模创建交互式、个性化学习资源提供了巨大的机会，为了充分利用这些技术的教育潜力，处于日常学生最前沿的教师至关重要。互动并拥有不可或缺的知识和专业知识 - 作为这一过程中的关键贡献者，这个时间敏感的项目解决了对可行机制的迫切需要，使教师能够在学习的背景下通过教师与人工智能协作范例来利用法学硕士的能力。研究团队将与视频合作。 WGBH 教育基金会 (GBH) 是波士顿的 PBS 电台，支持教师创建和定制智能导师，并附带 PBS LearningMedia 上提供的 STEM 学习资源，PBS LearningMedia 是一个已经受到全国教师欢迎的平台，拥有超过 5,000 个高质量 STEM 的综合图书馆- 重点视频和数百万用户收到此提案是为了回应《亲爱的同事信》(DCL)：快速加速正规和中小学 K-12 教育中的人工智能研究。非正式环境 (NSF 23-097) 并由学生和教师创新技术体验 (ITEST) 计划资助，该计划支持建立对实践、计划要素、背景和流程的理解的项目，有助于增加学生对科学的知识和兴趣，智能导师将融入视频中，向学生提出理解问题，并在视频观看过程中提供个性化反馈。开发一个教师-人工智能协作平台，允许教师监督智能导师生成问题序列和反馈。该平台将为教师提供“法学硕士构建块”，以指导法学硕士产生理想的输出，从而保持对导师的控制。与学生进行教学对话，这种对话符合教师的教学目标和学生的独特需求，然后团队将生成证据，证明所提出的机制和具体设计策略的可行性和潜在有效性，使非技术领域专家能够大力参与开发该项目建立在现有的 PBS LearningMedia 平台之上，因此具有产生更广泛影响的潜力，并通过公开该平台来覆盖大量教育工作者。这项研究将使教育工作者能够继续制作满足其特定教育需求的互动视频。这项工作有望使教师获得人工智能的民主化，并促进他们积极参与基于人工智能的学习资源的制作。该奖项反映了 NSF 的贡献。法定使命并被认为值得支持使用基金会的智力价值和更广泛的影响审查标准进行评估。