Conference: NSF Workshop: Expanding Capacity and Diversity in AI Education
会议:NSF 研讨会:扩大人工智能教育的能力和多样性
基本信息
- 批准号:2330257
- 负责人:
- 金额:$ 9.98万
- 依托单位:
- 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:2023-06-15 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Artificial Intelligence (AI) is rapidly transforming into a versatile set of tools with far-reaching implications for individuals, society, and the economy. This workshop serves as a platform for exchanging ideas on the imperative to expand the scope of educational programs and curricula in AI. The expansion of AI education aims to bolster the capacity to equip students with the knowledge and skills necessary for pursuing careers in AI while fostering diversity and inclusivity in AI education. A comprehensive approach to increasing diversity involves offering inclusive learning opportunities in AI education for learners of all ages, from kindergarten to adulthood, and developing learning materials that encompass AI knowledge, skills, ethics, and responsible utilization.The workshop on AI education will be held at the University of North Carolina at Charlotte. It aims to gather thought leaders in AI education to develop and document guidelines for AI education curricula. The workshop discussions will consider the competencies and needs of the workforce; guidelines on how to direct efforts and resources to increase the capacity for future AI professionals and a more AI literate workforce in general; guidelines on how to measure and increase capacity and diversity of people engaged in AI education. The workshop will be structured to include presentations on three main topics: educational resources, capacity to produce graduates, and measuring quality of programs. In addition to these presentations, breakout groups will be formed to brainstorm specific topics. The outcome of the workshop will be a report on discussions and recommendations. It will detail the existing educational resources, including model curricula, concept inventories, and AI education initiatives, illustrating the current landscape of AI instruction. It will document participants' insights about how to measure the capacity of institutions to produce graduates with AI-related degrees, certifications, and skills. It will outline the criteria discussed for measuring an institution's excellence in AI education, with a particular focus on their ability to attract and retain a diverse student population in STEM fields, including women, minorities, and individuals with disabilities.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)正在迅速转变为一套多功能工具,对个人、社会和经济产生深远影响。本次研讨会旨在就扩大人工智能教育项目和课程范围的必要性交换意见。扩大人工智能教育的目的是加强学生掌握从事人工智能职业所需的知识和技能的能力,同时促进人工智能教育的多样性和包容性。增加多样性的综合方法包括为从幼儿园到成年的所有年龄段的学习者提供包容性的人工智能教育机会,并开发包含人工智能知识、技能、道德和负责任使用的学习材料。人工智能教育研讨会将在北卡罗来纳大学夏洛特分校举行。它旨在聚集人工智能教育领域的思想领袖,以制定和记录人工智能教育课程的指导方针。研讨会讨论将考虑劳动力的能力和需求;关于如何指导工作和资源,以提高未来人工智能专业人员的能力和提高人工智能素养的总体劳动力的能力的指导方针;关于如何衡量和提高从事人工智能教育的人员的能力和多样性的指导方针。研讨会的结构将包括三个主要主题的演讲:教育资源、培养毕业生的能力和衡量项目质量。除了这些演讲之外,还将成立分组讨论小组,对特定的主题进行头脑风暴。讲习班的结果将是关于讨论和建议的报告。它将详细介绍现有的教育资源,包括模型课程、概念清单和人工智能教育计划,说明人工智能教学的现状。它将记录参与者对如何衡量机构培养具有人工智能相关学位、证书和技能的毕业生的能力的见解。它将概述衡量一个机构在人工智能教育方面的卓越性所讨论的标准,特别关注他们吸引和留住STEM领域多样化学生群体的能力,包括女性、少数民族和残疾人。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。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mary Lou Maher其他文献
Enabling Investigation of Impacts of Inclusive Collaborative Active Learning Practices on Intersectional Groups of Students in Computing Education
调查包容性协作主动学习实践对计算机教育中交叉学生群体的影响
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Sri Yash Tadimalla;Celine Latulipe;Mary Lou Maher;Marlon Mejias;Jamie Payton;A. Rorrer;John Fiore;G. Kwatny;Andrew Rosen - 通讯作者:
Andrew Rosen
Risks and benefits of mass screening for colorectal neoplasia with the stool guaiac test
通过粪便愈创木脂试验大规模筛查结直肠肿瘤的风险和益处
- DOI:
- 发表时间:
1983 - 期刊:
- 影响因子:0
- 作者:
D. Winchester;Joanne Sylvester;Mary Lou Maher - 通讯作者:
Mary Lou Maher
An Exploratory Study on the Impact of AI tools on the Student Experience in Programming Courses: an Intersectional Analysis Approach
人工智能工具对学生编程课程体验影响的探索性研究:交叉分析方法
- DOI:
10.1109/fie58773.2023.10343037 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Mary Lou Maher;Sri Yash Tadimalla;Dhruv Dhamani - 通讯作者:
Dhruv Dhamani
Implications of Identity in AI: Creators, Creations, and Consequences
人工智能中身份的含义:创造者、创造和后果
- DOI:
10.1609/aaaiss.v3i1.31268 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Sri Yash Tadimalla;Mary Lou Maher - 通讯作者:
Mary Lou Maher
A Grassroots Mammography Demonstration Project Targeted to Medically Underserved Rural and Urban Illinois Women of Diverse Races and Ethnicity
针对医疗服务不足的伊利诺伊州农村和城市不同种族和族裔妇女的草根乳房X光检查示范项目
- DOI:
10.1111/j.1524-4741.1997.tb00137.x - 发表时间:
1997 - 期刊:
- 影响因子:0
- 作者:
Lola Flamm;Arthur G. Michel;H. J. Lasky;Mary Lou Maher;Joanne Sylvester;Stephen F. Sener - 通讯作者:
Stephen F. Sener
Mary Lou Maher的其他文献
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{{ truncateString('Mary Lou Maher', 18)}}的其他基金
Examining the Effects of Course Climate, Active Learning, and Intersectional Identities on Undergraduate Student Success in Computing
检查课程气氛、主动学习和交叉身份对本科生计算机成功的影响
- 批准号:
2111376 - 财政年份:2021
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
I-Corps: Digital Platform for Informal Learning Experiences to Encourage Curiosity in STEM Career Paths
I-Corps:提供非正式学习体验的数字平台,鼓励对 STEM 职业道路的好奇心
- 批准号:
2031900 - 财政年份:2020
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
EAGER: An Interactive Learning Analytics Framework based on a Student Sequence Model for understanding students, retention, and time to graduation
EAGER:基于学生序列模型的交互式学习分析框架,用于了解学生、保留率和毕业时间
- 批准号:
1820862 - 财政年份:2018
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
Collaborative Research: Developing a Systemic, Scalable Model to Broaden Participation in Middle School Computer Science
合作研究:开发系统的、可扩展的模型以扩大中学计算机科学的参与
- 批准号:
1837240 - 财政年份:2018
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
RI: Small: CompCog: Pique: A Cognitive Model of Curiosity for Personalizing Sequences of Learning Resources
RI:小:CompCog:Pique:用于个性化学习资源序列的好奇心认知模型
- 批准号:
1618810 - 财政年份:2016
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
IUSE/PFE:RED: The Connected Learner: Design Patterns for Transforming Computing and Informatics Education
IUSE/PFE:RED:互联学习者:变革计算和信息学教育的设计模式
- 批准号:
1519160 - 财政年份:2015
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
AISL: Innovations in Development: Community-Driven Projects That Adapt Technology for Environmental Learning in Nature Preserves
AISL:发展创新:社区驱动的项目,采用自然保护区环境学习技术
- 批准号:
1423212 - 财政年份:2015
- 资助金额:
$ 9.98万 - 项目类别:
Continuing Grant
EAGER: Collaborative Research: A Computational Model for Evaluating the Quality of Citizen Science Contributions
EAGER:协作研究:评估公民科学贡献质量的计算模型
- 批准号:
1451079 - 财政年份:2014
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
VOSS: Crowdsourcing interaction design for citizen science virtual organizations
VOSS:公民科学虚拟组织的众包交互设计
- 批准号:
1221513 - 财政年份:2012
- 资助金额:
$ 9.98万 - 项目类别:
Standard Grant
HCC: Small: Designing Tangible Computing for Creativity
HCC:小型:为创造力设计有形计算
- 批准号:
1218160 - 财政年份:2012
- 资助金额:
$ 9.98万 - 项目类别:
Continuing Grant
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