Assessing the Impact of Artificial Intelligence on CS Education

评估人工智能对计算机科学教育的影响

• 批准号: 2332345
• 负责人: Mariam Salloum
• 金额: $ 4.99万
• 依托单位: University of California-Riverside
• 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: 2023-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332345&HistoricalAwards=false
• 关键词: Assessing; Impact; Artificial; Intelligence; CS

This project aims to serve the national interest by hosting a workshop attended by leading computing education thinkers to discuss the role of Artificial Intelligence (AI) in education. AI will dramatically affect both students and instructors in the coming years. As with any new technology, the effects will include both negative and positive ones. AI has burst into the spotlight as having a large potential impact on education. Large language models (LLMs) gained tremendous attention upon the release of ChatGPT 3.5 in early 2023, leading to perhaps the fastest user-base growth curves in the history of the internet. The purpose of this workshop is to provide the computing education community with the opportunity to discuss how to best plan for the inevitable incorporation of AI into the lives of students and instructors.The goal of this workshop is to identify opportunities to minimize the negative effects of AI while enhancing the positive. This workshop will gather 10-15 of the nation's leading CS education thinkers to discuss AI's role in computing education. Attendees will lay out the roles that AI may play, positive and negative, for students and instructors. Attendees will summarize ideas within those roles, such as how AI might provide step-by-step programming guidance, or might auto-grade student work. Attendees will also call out pitfalls that the community should watch out for and lay out challenges that AI poses. The result will be a white paper highlighting the workshop's findings, and potentially a position paper submitted to a computing education conference. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students.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.

该项目旨在通过领导计算教育思想家来讨论人工智能（AI）在教育中的作用来参加一场讲习班，以为国家利益提供服务。在未来几年中，AI将极大地影响学生和讲师。与任何新技术一样，效果将包括负面和积极的技术。人工智能对教育产生了巨大的潜在影响。大型语言模型（LLMS）在2023年初发布Chatgpt 3.5时引起了极大的关注，这可能导致互联网历史上最快的用户基础增长曲线。该研讨会的目的是为计算教育社区提供有机会讨论如何为不可避免的AI纳入学生和讲师的生活的最佳计划。该研讨会的目标是确定机会，以最大程度地减少AI的负面影响，同时增强积极的效果。该研讨会将聚集美国领先的CS教育思想家的10-15个研讨会，讨论AI在计算教育中的作用。与会者将为学生和讲师扮演AI可能扮演，积极和负面的角色。与会者将总结这些角色内的想法，例如AI如何提供逐步编程指导，或者可以自动级别的学生工作。与会者还将召集社区应注意的陷阱，并提出AI提出的挑战。结果将是一份白皮书，突出了研讨会的发现，并有可能提交到计算教育会议上的职位论文。 NSF IUSE：EDU计划支持研发项目，以提高所有学生的STEM教育的有效性。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。