EAGER: Collaborative Research: Building Capacity for K-12 Artificial Intelligence Education Research

EAGER：协作研究：K-12 人工智能教育研究能力建设

• 批准号: 1938778
• 负责人: James Lester
• 金额: $ 10万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-15 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1938778&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Building; Capacity

Artificial intelligence (AI) will profoundly impact society in the US and around the globe. It is beginning to permeate every aspect of our daily lives and is fundamentally reshaping our workforce. Because AI will dramatically impact both the economy and national security, it is imperative that we develop a thoughtful national response to this phenomenally disruptive technology. This response must include a meaningful approach to introducing K-12 students to AI. However, despite the accelerating pace of AI technology development both in the US and abroad and the rapidly growing interest in a strategy for K-12 AI education, there is no research foundation on which such a strategy can be readily based. It is therefore essential to develop an evidence-based approach for K-12 AI education, which calls for a concerted capacity building effort within the education research community to address this significant need. The objective of the project is to begin building an interdisciplinary research community to address the critical challenge of creating a national K-12 AI education strategy by convening two interdisciplinary workshops. This project is funded by the STEM + Computing (STEM+C) program, which supports research and development to understand the integration of computing and computational thinking in STEM learning.The project will bring together experts in education research, AI, industry, and K-12 educational practitioners to develop a shared understanding and create a research agenda to bring evidence-based AI education to K-12 classrooms. Education researchers will include leaders from AI in education, the learning sciences, STEM education (including science education, mathematics education, computer science education, and computational thinking), teacher education, and developmental psychology. The workshops will play a central role in establishing the connections that are essential to the success of a national K-12 AI education initiative. Collectively, leaders in these fields will create a research agenda for developing best practices for AI education for K-12 student populations. The project team will also conduct broad analyses of how K-12 AI education research should respond to AI's far-reaching societal impact. These analyses will both be informed by and will guide the workshops. The findings will be presented in reports in publications prepared by the project team. Together, the workshop series and analyses hold significant transformative potential to address the urgent need to catalyze a research community that will guide curricular design and implementation for K-12 AI education. As a long-term objective, the project will be conducted to most effectively inform, shape, and define a national strategy for K-12 AI 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.

人工智能（AI）将深刻影响美国和地球仪的社会。它开始渗透到我们日常生活的各个方面，并从根本上重塑我们的劳动力。由于人工智能将对经济和国家安全产生巨大影响，因此我们必须对这一极具破坏性的技术做出深思熟虑的国家回应。这种回应必须包括一种有意义的方法，向K-12学生介绍人工智能。然而，尽管美国和国外的人工智能技术发展速度加快，人们对K-12人工智能教育战略的兴趣也迅速增长，但这种战略并没有现成的研究基础。因此，为K-12人工智能教育制定一种基于证据的方法至关重要，这需要教育研究界协调一致的能力建设努力，以满足这一重大需求。该项目的目标是开始建立一个跨学科的研究社区，通过召开两个跨学科研讨会来应对创建国家K-12人工智能教育战略的关键挑战。该项目由STEM + Computing（STEM+C）计划资助，该计划支持研究和开发，以了解STEM学习中计算和计算思维的整合。该项目将汇集教育研究、人工智能、行业和K-12教育从业者的专家，以建立共同的理解并创建研究议程，将基于证据的人工智能教育带入K-12课堂。教育研究人员将包括来自AI教育，学习科学，STEM教育（包括科学教育，数学教育，计算机科学教育和计算思维），教师教育和发展心理学的领导者。这些研讨会将在建立国家K-12人工智能教育计划成功所必需的联系方面发挥核心作用。总的来说，这些领域的领导者将创建一个研究议程，为K-12学生群体开发人工智能教育的最佳实践。项目团队还将对K-12人工智能教育研究应如何应对人工智能深远的社会影响进行广泛分析。这些分析将为讲习班提供信息，并将指导讲习班。调查结果将在项目小组编写的出版物报告中提出。总之，研讨会系列和分析具有重大的变革潜力，以解决迫切需要催化一个研究社区，指导K-12 AI教育的课程设计和实施。作为一个长期目标，该项目将最有效地为K-12人工智能教育提供信息，塑造和定义国家战略。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。