EAGER: Collaborative Research: Building Capacity for K-12 Artificial Intelligence Education Research
EAGER: Collaborative Research: Building Capacity for K-12 Artificial Intelligence Education Research
批准号:
1938778
负责人:
James Lester
金额:
$10.0万
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
项目状态:
已结题
起止时间:
2019-08-15 至 2022-01-31
中文摘要
人工智能(AI)将深刻影响美国乃至全球的社会。它开始渗透到我们日常生活的方方面面,并从根本上重塑了我们的劳动力。由于人工智能将对经济和国家安全产生巨大影响,我们必须制定一个深思熟虑的国家应对方案,以应对这一具有颠覆性的技术。这种回应必须包括向K-12学生介绍人工智能的有意义的方法。然而,尽管人工智能技术在美国和国外的发展速度都在加快,而且对K-12人工智能教育战略的兴趣也在迅速增长,但这种战略还没有现成的研究基础。因此,必须为K-12人工智能教育制定一种基于证据的方法,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。该项目的目标是通过召开两次跨学科研讨会,开始建立一个跨学科研究社区,以应对制定国家K-12人工智能教育战略的关键挑战。本项目由STEM+ Computing (STEM+C)项目资助,该项目支持研究和开发,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,形成共同的理解,并制定研究议程,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人工智能教育、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领域的领导者。这些讲习班将在建立对国家K-12人工智能教育倡议成功至关重要的联系方面发挥核心作用。这些领域的领导者将共同制定一个研究议程,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的深远社会影响进行广泛分析。这些分析既将由讲习班提供信息,也将指导讲习班。研究结果将在项目小组编写的出版物的报告中提出。总之,研讨会系列和分析具有重大的变革潜力,可以解决催化研究社区的迫切需求,指导K-12人工智能教育的课程设计和实施。作为一项长期目标,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。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
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.
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