Collaborative Research: Research Initiation: Engineering students' outcome expectations for AI careers: An exploratory study

合作研究：研究启动：工科学生对人工智能职业的成果期望：一项探索性研究

• 批准号: 2403968
• 负责人: Julie Martin
• 金额: $ 7.02万
• 依托单位: University of Georgia Research Foundation Inc
• 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: 2023-10-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2403968&HistoricalAwards=false
• 关键词: Collaborative; Research; Initiation; Engineering; students

The United States is facing an unprecedented shortage of engineers who are skilled in artificial intelligence (AI). AI has the potential to transform all fields of engineering and technology, but this potential can only be realized if today’s engineering students choose to make AI part of their educational and career goals. This project will study how and why engineering students include or exclude AI from their educational and career goals. Results from this project will lay the groundwork for designing inclusive programs that meet tomorrow’s demands for a skilled AI workforce. This project aligns with national priorities as outlined in the National AI R&D Strategic Plan, among other federal policy documents.This project examines how undergraduate engineering students at a large, public engineering school navigate a career landscape that is being reshaped by AI. Grounded in Social Cognitive Career Theory, our qualitative study will answer the following questions: 1.) How do engineering undergraduates perceive academic and career options related to AI, and how do students describe these perceptions as influencing their academic and career plans? 2.) How are students’ outcome expectations related to AI coursework and careers similar to or different from their outcome expectations for coursework and careers in their traditional engineering major? 3.) How do the outcome expectations of students who are interested in AI careers differ from students who are interested in more conventional engineering careers? Long term, this work will help educators understand how AI can be brought into undergraduate engineering education without excluding students who initially do not have an interest or background in AI and without decreasing interest in traditional engineering careers.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.

美国正面临着前所未有的人工智能（AI）工程师短缺问题。人工智能有潜力改变工程和技术的所有领域，但只有今天的工程专业学生选择将人工智能作为他们教育和职业目标的一部分，这种潜力才能实现。该项目将研究工程专业的学生如何以及为什么将AI纳入他们的教育和职业目标。该项目的结果将为设计包容性计划奠定基础，以满足未来对熟练人工智能劳动力的需求。该项目与国家人工智能研发战略计划中概述的国家优先事项保持一致，以及其他联邦政策文件。该项目研究了大型公共工程学院的本科工程专业学生如何驾驭人工智能重塑的职业前景。基于社会认知生涯理论，我们的定性研究将回答以下问题：1。工程专业本科生如何看待与人工智能相关的学术和职业选择，以及学生如何描述这些看法对他们的学术和职业计划的影响？2.）的情况。学生对人工智能课程和职业的结果期望与他们对传统工程专业课程和职业的结果期望有何相似或不同？3.）第三章对人工智能职业感兴趣的学生的结果期望与对更传统的工程职业感兴趣的学生有何不同？从长远来看，这项工作将帮助教育工作者了解如何将人工智能引入本科工程教育，而不排除最初对人工智能没有兴趣或背景的学生，也不降低对传统工程职业的兴趣。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。