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.

在医疗保健，教育，金融和制造等行业中，人工智能（AI）的广泛使用需要熟练的AI劳动力。该项目的目的是创建一个计划，该计划将增加有资格获得AI技术人员的工作就业学生。该计划将创建新的职业AI技术人员途径，并利用基于问题的学习经验来刺激参与和对AI职业的兴趣。最终的计划将包括夏季桥梁，高中毕业课程，行业参与，教师专业发展以及旨在增强入学率和保留率的循证实践。该项目的次要目标是增加进入AI劳动力的低收入和非传统学生的数量。该项目将检验以下假设：通过基于问题的学习对AI的早期接触会对入学率和证书成就产生积极影响。研究将重点介绍基于问题的学习经历如何激发AI职业的兴趣和参与。该项目将有助于案例研究教学方法的知识基础，以增强AI中学习目标的实现。评估计划将确定该计划对目标受众的影响，并将向项目团队提供反馈，以根据需要调整程序。评估设计包括具有可测量质量的明确而特定的学生绩效目标。该项目由先进的技术教育计划资助，该计划的重点是推动国家经济的高级技术领域的技术人员的教育。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛影响的审查标准通过评估来通过评估来支持的。