RAPID: Artificial Intelligence Curriculum and K-12 Teacher Agency: Barriers and Opportunities

RAPID：人工智能课程和 K-12 教师机构：障碍和机遇

• 批准号: 2333393
• 负责人: Karin Jensen
• 金额: $ 19.96万
• 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: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2333393&HistoricalAwards=false
• 关键词: RAPID; Artificial; Intelligence; Curriculum; 12

AI-powered tools have the potential to transform education, both in formal and informal settings. The immense potential for AI to address challenges in education has created an urgent need to characterize how K-12 education may leverage these powerful tools safely, ethically, and equitably. While the AI in education landscape is changing drastically and rapidly, little is known about K-12 educators' engagement with AI and how newly developed tools and curriculum will be received and integrated into classrooms. K-12 teachers are critical stakeholders whose understanding, opinions, and willingness to engage with AI tools will be important factors in the success of AI in K-12 education. Without fundamentally understanding K-12 teacher opinions and agency related to AI in education, there is risk of making investments in tools, training, and curricula that simply do not meet the needs or address the concerns of the teachers who will implement them. This project addresses this knowledge gap by collecting survey data from a national sample of K-12 teachers to guide the development of AI tools and curriculum. 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 processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.Researchers will develop and refine a survey to be distributed to approximately 1,000 K-12 teachers nationally. The project investigates the overall research question: How do K-12 teachers perceive AI education and its impacts on the workforce? The project leverages an ecological agency model to develop the survey about AI tool and curriculum adoption. The survey will include both quantitative measures and open-response questions and will be refined through cognitive interviews and reviewed by an expert panel to ensure clarity and completeness. Research results will be disseminated in scholarly publications, as well as through venues that will reach educational practitioners and the public at large. The project results will have the potential to directly impact AI curriculum and tool development for K-12 education.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.

AI驱动的工具有可能在正式和非正式环境中改变教育。 AI应对教育挑战的巨大潜力迫切需要表征K-12教育如何安全，道德和公平地利用这些强大的工具。虽然教育界的AI正在发生巨大变化，但对于K-12教育者与AI的互动以及新开发的工具和课程将如何接收和集成到教室中，知之甚少。 K-12教师是关键的利益相关者，他们的理解，观点和使用AI工具的意愿将是AI在K-12教育中成功的重要因素。如果没有从根本上了解K-12的教师意见和与AI有关教育中的AI相关的代理机构，就有在工具，培训和课程上进行投资的风险，这些风险根本无法满足需求或解决将实施这些需求或解决教师的关注。该项目通过从国家样本的K-12教师样本中收集调查数据来指导AI工具和课程的开发，从而解决了这一知识差距。 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 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。研究人员将在全国范围内开发并完善调查，分配给大约1,000 k-12的教师。该项目调查了总体研究问题：K-12教师如何看待AI教育及其对劳动力的影响？该项目利用生态机构模型来开发有关AI工具和课程采用的调查。该调查将包括定量措施和开放性问题，并将通过认知访谈进行完善，并由专家小组进行审查，以确保清晰度和完整性。研究结果将在学术出版物以及将通过教育从业人员和整个公众到达的场所中传播。该项目的结果将有可能直接影响K-12教育的AI课程和工具开发。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来支持的。