RAPID: DRL AI: A Community-Inclusive AI Chatbot to Support Teachers in Developing Culturally Focused and Universally Designed STEM Activities

RAPID：DRL AI：社区包容性 AI 聊天机器人，支持教师开展以文化为中心且通用设计的 STEM 活动

• 批准号: 2334631
• 负责人: Jeremy Price
• 金额: $ 20万
• 依托单位: Indiana 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: 2023-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334631&HistoricalAwards=false
• 关键词: RAPID; DRL; AI; Community; Inclusive

Large language models (LLM) represent a new and rapidly changing technological advancement for K12 STEM learning. It is critical at this point in time to investigate and provide pathways for including justice, equity, inclusion, and community cultural capital and wealth in designing LLM-based educational systems. In the context of developing an AI chatbot, this RAPID project will research the ways in which teachers can plan universally designed and culturally relevant and responsive K12 STEM learning activities and environments. This research will contribute to an improved LLM that will incorporate novel methods to incorporate community data and reinforce knowledge from user communities into the LLM that is largely missing from large text corpora on which LLMs are usually trained. The AI chatbot will increase teacher capacity to create more inclusive STEM activities and support career pathways by facilitating the inclusion of more underrepresented learners in STEM careers. 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 project will convene a series of focus groups to elicit training data for the chatbot, adopting a community-based participatory action research approach. This approach recognizes that AI can foster and grow community well-being by including the community in the design, orienting the AI to address community issues, and adopting an interdisciplinary and systems-based stance. The AI training will be sensitive to cultural nuances and techniques like sentiment analysis will help to understand the context and ensure culturally appropriate responses. Human-centered AI methods will be used to continuously incorporate user feedback by deploying the chatbot and actively seek responses from the diverse set of participants. This process will reinforce knowledge from user communities that is largely missing from content on which AIs are typically trained, producing an AI system that will generate more culturally aware text. Importantly, the project will create a model for developing community sourced AI LLMs that can continue to be refined and researched. A beta-level chatbot will be made available for teachers to improve their lesson plans, activity structures, and learning environments by the end of the project year for further research and development.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) 代表了 K12 STEM 学习的快速变化的新技术进步。此时此刻，在设计基于法学硕士的教育系统时，进行调查并提供将正义、公平、包容以及社区文化资本和财富纳入其中的途径至关重要。在开发人工智能聊天机器人的背景下，这个 RAPID 项目将研究教师如何规划通用设计、文化相关且响应迅速的 K12 STEM 学习活动和环境。这项研究将有助于改进法学硕士，该法学硕士将采用新颖的方法来整合社区数据，并将用户社区的知识强化到法学硕士中，而法学硕士通常接受培训的大型文本语料库在很大程度上缺少这些知识。 AI 聊天机器人将提高教师创建更具包容性的 STEM 活动的能力，并通过促进更多代表性不足的学习者参与 STEM 职业来支持职业道路。该提案是为了回应亲爱的同事信 (DCL)：在正式和非正式环境中快速加速 K-12 教育中的人工智能研究 (NSF 23-097)，并由学生和教师创新技术体验 (ITEST) 资助）计划，支持加深对实践、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、技术、工程和数学 (STEM) 以及信息和通信技术的知识和兴趣（ICT）职业。该项目将召集一系列焦点小组，采用基于社区的参与性行动研究方法，为聊天机器人获取培训数据。这种方法认识到人工智能可以通过将社区纳入设计、引导人工智能解决社区问题以及采取跨学科和基于系统的立场来促进和发展社区福祉。人工智能培训将对文化的细微差别敏感，情绪分析等技术将有助于理解背景​​并确保做出适合文化的反应。以人为本的人工智能方法将通过部署聊天机器人来不断吸收用户反馈，并积极寻求不同参与者的回应。这一过程将强化用户社区的知识，而这些知识在人工智能通常训练的内容中很大程度上缺失，从而产生一个人工智能系统，该系统将生成更具文化意识的文本。重要的是，该项目将创建一个模型，用于开发社区来源的人工智能法学硕士，可以继续完善和研究。在项目年结束时，将向教师提供测试级聊天机器人，以改进他们的课程计划、活动结构和学习环境，以进行进一步的研究和开发。该奖项反映了 NSF 的法定使命，并被认为值得通过以下方式获得支持：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。