RAPID: DRL AI: The Development of a Digital Platform for Evaluating and Using AI-Generated Content for Academic Purposes

RAPID：DRL AI：开发用于评估和使用人工智能生成内容用于学术目的的数字平台

• 批准号: 2337969
• 负责人: Amy Hutchison
• 金额: $ 19.96万
• 依托单位: University of Alabama Tuscaloosa
• 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: 2023-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2337969&HistoricalAwards=false
• 关键词: RAPID; DRL; AI; Development; Digital

The recent development of artificial intelligence (AI) tools such as ChatGPT and Bard present new opportunities and challenges for learners in the elementary and middle grades. Despite their potential for facilitating and supporting scientific reading and writing, there are pressing concerns about how AI tools can produce harmful, biased, and false content, which then gets reproduced by users who lack sufficient critical evaluation skills or do not understand the importance of evaluating AI-generated content. Thus, there is an urgent need to develop instructional materials and strategies to support students’ development of these important critical thinking skills. The purpose of this time-sensitive project is to develop a web-based platform, called Compose With AI, aimed at guiding students to evaluate AI-generated content and use factual information to compose common types of science-focused writing (e.g., composing arguments, claims or solutions related to science topics). The Compose with AI platform will: 1) guide students to gather and critically evaluate content produced by AI, 2) guide students on beneficial and ethical uses of content produced by AI, and 3) scaffold students’ use of AI-generated content as a model and resource for composing science-focused texts. Project researchers will use gathered data to determine what critical evaluation approaches and strategies inhibit and enhance students’ abilities to use and critically evaluate content generated with AI, including when using the Compose With AI platform. The project team will follow a design-based implementation research approach to evaluate the usefulness and usability of the Compose With AI. Data to address the address the research questions will be collected as participants engage in a guided task where they use Compose With AI to evaluate AI-generated content and generate a response to a prompt. A verbal reporting methodology will be used to understand students’ cognitive processes as they think aloud during the task (concurrently) and as they reflect on their work after the task (retrospectively). Verbal protocol analysis will focus on which approaches and strategies students selected from the list presented in the platform, how they used the strategies, which strategies were successful, and which uses of AI were most useful for integrating AI-generated content into their responses. Teacher participants will also provide feedback on the platform design and the student think-aloud tasks. All data will be combined and analyzed qualitatively to answer the research questions. Findings will be used to refine and publicly share the Compose With AI platform for classroom use. 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.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.

诸如Chatgpt和Bard之类的人造工具的最新发展给学习者带来了新的机会和挑战。他的重要性是评估AI生成的内容。 AI生成的内容并使用事实信息来构成以科学为重点的写作类型（例如，撰写与科学主题有关的论点，主张或解决方案）。 AI产生的内容的道德用途，以及3）使用AI生成的内容作为以科学为中心的模型和资源，将搜索者确定哪些关键评估方法和策略抑制并增强学生的能力和批判性评估对AI的满足感，使用AI平台与damarch方法一起使用AI平台。 pt（同时），他们在任务后反思自己的工作（回顾）。响应和学生的思维任务。 -097），并由创新的技术经验以及学生和教师（ITEST）计划资助，该计划支持实践，计划要素，上下文和过程的项目，从而有助于增加学生对科学，技术和数学的兴趣（STEM）和IND通信技术（ICT）职业。