Assessing the Impact of Artificial Intelligence on CS Education

该项目旨在通过举办由领先的计算教育思想家参加的研讨会来服务于国家利益，以讨论人工智能（AI）在教育中的作用。人工智能将在未来几年对学生和教师产生巨大影响。与任何新技术一样，其影响将包括消极和积极两方面。人工智能已经成为人们关注的焦点，因为它对教育产生了巨大的潜在影响。大型语言模型（LLM）在2023年初ChatGPT 3.5发布后获得了极大的关注，这可能是互联网历史上最快的用户增长曲线。本次研讨会的目的是为计算教育社区提供机会，讨论如何最好地规划人工智能不可避免地融入学生和教师的生活。本次研讨会的目标是确定机会，以尽量减少人工智能的负面影响，同时提高积极的。本次研讨会将聚集10-15位全国领先的计算机科学教育思想家，讨论人工智能在计算机教育中的作用。与会者将为学生和教师展示AI可能扮演的角色，积极和消极的。与会者将总结这些角色中的想法，例如人工智能如何提供分步编程指导，或者可能自动评分学生的工作。与会者还将指出社区应该注意的陷阱，并提出人工智能带来的挑战。其结果将是一份白色文件，强调研讨会的发现，并可能提交给一个计算教育会议的立场文件。NSF IUSE：EDU计划支持研究和开发项目，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。

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.