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Developing K-12 Education Guidelines for Artificial Intelligence

Developing K-12 Education Guidelines for Artificial Intelligence
制定 K-12 人工智能教育指南
批准号:
1846073
负责人:
David Touretzky
金额:
$22.57万
依托单位:
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:
2019-03-15 至 2022-03-31

项目摘要

项目成果

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中文摘要
翻译
该项目将推进“面向学生和教师的创新技术体验”(ITEST)项目的工作,通过制定K-12学校环境中人工智能(AI)的教学指南,更好地理解和促进提高学生在科学、技术、工程或数学(STEM)领域追求职业的动机和能力的实践。尽管人工智能是一个迅速崛起的研究领域,在STEM劳动力和行业中有着广泛的应用,但很少有课程标准或教育指南向大学预科学生介绍与人工智能领域相关的基本知识和技能。该项目将通过将学术界和工业界的人工智能专家与代表K-12教育的专家聚集在一起,起草K-12学校各年级的人工智能教学指南,来解决这一领域对更多指导的新需求。随后,一个代表人工智能和计算机科学专家、更广泛的K-12教育工作者和公众代表的更大利益集团将对指导方针草案进行审查。来自这个更大的利益集团的反馈将用于改进准则,以便更广泛地传播。除了为大学预科阶段的人工智能教育制定初步指导方针外,该项目还将创建一个在线资源目录,供K-12教师用于为学生开发人工智能教学经验。该项目团队正在与美国人工智能促进协会(AAAI)和计算机科学教师协会(CSTA)合作,根据CSTA 2017年发布的K-12计算机科学标准,制定人工智能指南。项目指导小组包括AAAI和CSTA的成员,以及全国范围内广泛的人工智能学者和所有年级经验丰富的K-12教师。正在作出努力,确保确定并随时提供与文化有关的资源,以支持在全国所有学生群体中实施即将出台的指导方针。项目团队包括一个指导项目的指导委员会,以及一个由各年级经验丰富的K-12教师和代表学术界和工业界的人工智能专家组成的更大的工作组。代表国内和国际人工智能教育的咨询小组将为该项目提供额外指导。该项目将采用邮件列表、项目网站和社交媒体来吸引更广泛的感兴趣的学者、教育工作者、研究人员和公众。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
This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase student motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by developing guidelines for teaching and learning about artificial intelligence (AI) in K-12 school settings. Though AI is a quickly emerging field of research with broad applications in the STEM workforce and industry generally, there are few curriculum standards or educational guidelines for introducing pre-college students to fundamental knowledge and skills relating to the field of AI. This project will address the emerging need for greater guidance in this field by bringing together specialists in AI from academia and industry with specialists representing K-12 education to draft guidelines for teaching and learning about AI across the grade bands of K-12 schools. The draft guidelines will then be reviewed by a larger interest group representing specialists in AI and computer science, as well as representatives of K-12 educators more broadly and the general public. Feedback from this larger interest group will be used to refine the guidelines for broader dissemination. In addition to developing initial guidelines for AI education at the pre-college level, the project will create an online directory of resources that can be used by K-12 teachers to develop instructional experiences in AI for their students.The project team is working in association with the Association for the Advancement of Artificial Intelligence (AAAI) and the Computer Science Teachers Association (CSTA) to model AI guidelines after CSTA's K-12 Computer Science Standards released in 2017. The project Steering Team includes members of AAAI and CSTA, as well as broad representation of AI scholars nationwide and experienced K-12 teachers across all grade bands. Efforts are being made to ensure that culturally relevant resources are identified and readily available to support implementation of the forthcoming guidelines with all student populations nationwide. The project team includes a Steering Committee that guides the project, and a larger Working Group consisting of experienced K-12 teachers at all grade levels and AI specialists representing academia and industry. An Advisory Group representing AI education nationally and internationally will provide additional guidance to the project. The project will employ mailing lists, a project website, and social media to engage the broader community of interested scholars, educators, researchers, and members of the general public.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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Envisioning AI for K-12: What Should Every Child Know about AI?
展望 K-12 的人工智能:每个孩子都应该了解哪些关于人工智能的知识?
DOI: 10.1609/aaai.v33i01.33019795
发表时间: 2019
期刊: Proceedings of the AAAI Conference on Artificial Intelligence
影响因子: --
作者: [Touretzky, David, Gardner-McCune, Christina, Martin, Fred, Seehorn, Deborah]
通讯作者: Seehorn, Deborah
Machine Learning and the Five Big Ideas in AI
机器学习和人工智能的五个重要理念
DOI: --
发表时间: 2023
期刊: International journal of artificial intelligence in education
影响因子: 4.9
作者: [Touretzky, David, Gardner-McCune, Christina, Seehorn, Deborah]
通讯作者: Seehorn, Deborah
Collaborative Research: AI4GA - Developing Artificial Intelligence Competencies, Career Awareness, and Interest in Georgia Middle School Teachers and Students
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