AI for the Workforce of Tomorrow: Attending to Ethics and Collaboration in Learning Artificial Intelligence for High School Aged Youth

面向未来劳动力的人工智能:高中青年学习人工智能时注意道德与协作

基本信息

  • 批准号:
    2241576
  • 负责人:
  • 金额:
    $ 129.16万
  • 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:
    2023-09-01 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

As AI becomes increasingly integral to a broad range of industries, it is critical that the field develops equitable and justice-oriented instructional models that can support youth to integrate technical knowledge about AI with ethical principles for AI development and deployment. This project will design and study an online course for high school aged youth that is a collaborative learning experience for building workforce skills. The project will strengthen and broaden youth capacity for, and disposition toward, artificial intelligence (AI) domains and careers. Learning activities will provide youth with opportunities to develop AI systems grounded in real-world contexts that are relevant to this age group including college applications, health care, and social media, enabling them to draw on their own personal and cultural knowledge. Through its implementation, the project will address three important national needs: (1) increasing and expanding AI workforce capacity; (2) attending to the social and ethical concerns associated with AI; and (3) broadening participation in AI understanding to bring a greater diversity of lived experiences to the AI workforce and greater STEM field. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.Using surveys, observations, and interviews within a design-based research approach, the researchers will address the following research questions: (1) How can instruction be designed to integrate AI technical knowledge with AI ethics principles in an online learning experience that also encourages and supports positive social interaction and collaboration among participants? How do specific design features and pedagogical strategies contribute to a coherent approach? (2) To what extent, for whom, and under what conditions does this AI instructional model support: (a) AI technical learning; (b) capacity to integrate ethics in AI development; and (c) dispositional changes (sense of belonging in AI; value assigned to STEM ethics integration)? (3) What infrastructure is necessary to support this work beyond the life of the grant; and how can this program be institutionalized? This project will advance knowledge toward building a more inclusive approach to integrating ethical principles within technical training. This will increase the likelihood that the future workforce will be attentive to ethical concerns and better reflect the views and backgrounds of the populations that the technology is supposed to serve. Through the intentional design for productive online collaboration, the project will contribute to improved learning outcomes in online spaces. Project deliverables include an online course with educator supports and custom-designed digital tools, empirical findings and presentations for research and practitioner communities, and design principles for online, collaborative, sociotechnical learning environments. The AI course will be offered to six cohorts of 20 students each. Participants will be recruited from high schools in the western United States that receive Title I funding. The resulting course resource will be designed for sustainable implementation and positioned for implementation at scale across similar institutions nationally.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.
随着人工智能日益融入广泛的行业,该领域开发公平和以正义为导向的教学模式至关重要,该模式可以支持年轻人将人工智能的技术知识与人工智能开发和部署的道德原则相结合。该项目将为高中青年设计和研究在线课程,这是一种培养劳动力技能的协作学习体验。该项目将加强和扩大青年人在人工智能(AI)领域和职业方面的能力和倾向。学习活动将为年轻人提供开发基于现实世界环境的人工智能系统的机会,这些系统与该年龄段相关,包括大学申请、医疗保健和社交媒体,使他们能够利用自己的个人和文化知识。通过实施,该项目将满足三个重要的国家需求:(1)增加和扩大人工智能劳动力能力; (2) 关注与人工智能相关的社会和伦理问题; (3) 扩大对人工智能理解的参与,为人工智能劳动力和更大的 STEM 领域带来更多样化的生活体验。该项目由学生和教师创新技术体验 (ITEST) 计划资助,该计划支持加深对实践、计划要素、背景和流程的理解的项目,有助于增加学生对科学、技术、工程和数学的知识和兴趣研究人员将通过基于设计的研究方法中的调查、观察和访谈来解决以下研究问题:(1)如何设计教学以整合人工智能技术知识遵循人工智能道德原则一种能够鼓励和支持参与者之间积极的社交互动和协作的在线学习体验?具体的设计特征和教学策略如何有助于形成连贯的方法? (2) 该人工智能教学模式在多大程度上、为谁、在什么条件下支持: (a) 人工智能技术学习; (b) 将道德纳入人工智能开发的能力; (c) 性格变化(人工智能的归属感;赋予 STEM 道德整合的价值)? (3) 在资助期限结束后支持这项工作需要哪些基础设施;如何使该计划制度化?该项目将推进知识的发展,以建立一种更具包容性的方法,将道德原则融入技术培训中。这将增加未来劳动力关注道德问题的可能性,并更好地反映该技术应服务的人群的观点和背景。通过富有成效的在线协作的有意设计,该项目将有助于改善在线空间的学习成果。项目可交付成果包括提供教育者支持和定制设计数字工具的在线课程、针对研究和从业者社区的实证研究结果和演示,以及在线、协作、社会技术学习环境的设计原则。 AI 课程将提供给六组,每组 20 名学生。参与者将从美国西部接受 Title I 资助的高中招募。由此产生的课程资源将旨在可持续实施,并定位于在全国类似机构中大规模实施。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力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)
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Matthew Cannady其他文献

Matthew Cannady的其他文献

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{{ truncateString('Matthew Cannady', 18)}}的其他基金

EAGER: SaTC-EDU: A transdisciplinary program for pre-college youth to prepare the future workforce for FATE in AI
EAGER:SaTC-EDU:一项针对大学预科青年的跨学科计划,旨在为未来的人工智能 FATE 做好准备
  • 批准号:
    2039637
  • 财政年份:
    2020
  • 资助金额:
    $ 129.16万
  • 项目类别:
    Standard Grant
Nano-satellites and East Bay Rocket Scientists (NEARS)
纳米卫星和东湾火箭科学家 (NEARS)
  • 批准号:
    1615158
  • 财政年份:
    2016
  • 资助金额:
    $ 129.16万
  • 项目类别:
    Standard Grant
Nano-satellites and East Bay Rocket Scientists (NEARS)
纳米卫星和东湾火箭科学家 (NEARS)
  • 批准号:
    1615158
  • 财政年份:
    2016
  • 资助金额:
    $ 129.16万
  • 项目类别:
    Standard Grant

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