Developing the Blue-Collar AI Workforce

发展蓝领人工智能劳动力

• 批准号: 2400875
• 负责人: George Cooke
• 金额: $ 65万
• 依托单位: Broward College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2400875&HistoricalAwards=false
• 关键词: Developing; Blue; Collar; AI; Workforce

The widespread use of artificial intelligence (AI) in industries like healthcare, education, finance, and manufacturing necessitates the need for a skilled AI workforce. The goal of this project is to create a program that will increase the pool of work-ready students who are qualified for employment as AI technicians. The program will create new career AI technician pathways and make use of problem-based learning experiences to stimulate engagement and interest in AI careers. The resulting program will feature a summer bridge, high school after school program, industry engagement, faculty professional development, and evidence-based practices designed to enhance enrollment and retention. A secondary goal of the project is to increase the number of low-income and nontraditional students entering the AI workforce. The project will test the hypothesis that early exposure to AI through problem-based learning positively impacts enrollment and credential attainment. Research will focus on how problem-based learning experiences can spark interest and engagement in AI careers. The project will contribute to the knowledge base of case study teaching methods in enhancing the achievement of learning objectives in AI. The evaluation plan will identify the impact of the program on the target audience and will provide feedback to the project team to adjust the program as needed. The evaluation design includes clear and specific student performance objectives with measurable qualities. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the Nation's economy.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) 在医疗保健、教育、金融和制造等行业的广泛使用需要熟练的人工智能劳动力。该项目的目标是创建一个计划，增加有资格成为人工智能技术人员的就业准备学生的数量。该计划将创建新的人工智能技术人员职业道路，并利用基于问题的学习经验来激发对人工智能职业的参与和兴趣。由此产生的项目将包括暑期桥梁、高中课后项目、行业参与、教师专业发展以及旨在提高入学率和保留率的循证实践。该项目的第二个目标是增加进入人工智能劳动力市场的低收入和非传统学生的数量。该项目将检验这样一个假设：通过基于问题的学习尽早接触人工智能会对入学和取得证书产生积极影响。研究将重点关注基于问题的学习体验如何激发人们对人工智能职业的兴趣和参与度。该项目将有助于建立案例研究教学方法的知识库，以提高人工智能学习目标的实现。评估计划将确定项目对目标受众的影响，并向项目团队提供反馈，以根据需要调整项目。评估设计包括明确、具体的学生表现目标和可衡量的品质。该项目由先进技术教育计划资助，该计划重点关注推动国家经济发展的先进技术领域的技术人员教育。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和技术进行评估，被认为值得支持。更广泛的影响审查标准。