Advancing AI and Data Science Education in the US through Collaborative Coordination

通过协作协调推进美国人工智能和数据科学教育

• 批准号: 2135878
• 负责人: Leigh DeLyser
• 金额: $ 4.74万
• 依托单位: The New York City Foundation for Computer Science Education
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2135878&HistoricalAwards=false
• 关键词: Advancing; AI; Data; Science; Education

CSforALL will convene a workshop of Computer Science (CS) education, Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS) leaders to explore education pathways to careers in AI and AI-related fields. The workshop will be followed by a report with guidance for decision makers regarding implementation of these important topics, and recommendations for policy that will ensure equitable implementation across the landscape. An emerging movement has centered the related computational disciplines of artificial intelligence, machine learning, and data science, and numerous organizations and curriculum projects are advocating specifically for these flavors of CS education in classrooms. The workshop seeks to leverage the current moment in time to create coordinated community efforts to significantly impact trajectories for learners through the US education system with an outcome of (1) better preparation of all students to live in a digital world where AI and Data Science significantly impact everyday life, (2) strengthen pathways for computing professionals with appropriate preparation to use AI and data science in their careers, (3) excite the next generation of AI and Data Science researchers to contribute to the landscape of technology in the world, and (4) broaden the participation of women, Black, hispanic, indigenous, and other underrepresented populations in the educational pathways that result in the outcomes listed.Artificial Intelligence (AI), Machine Learning (ML), and data science (DS) are key to innovation, today and into the future. There is a national need to create a more diverse and inclusive workforce of AI innovators, and create fundamental understanding of AI in all. The workshop aims to (1) create clarity around the CS education movement and mechanisms for equitable change resulting in broadening participation in CS and AI, ML, and DS pathways; (2) review of current movement goals and national CS standards to update guidance; and (3) inform movement trajectories that align with promising practices for equity and broadening participation in AI, ML, and DS pathways.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.

CSforALL 将召集计算机科学 (CS) 教育、人工智能 (AI)、机器学习 (ML) 和数据科学 (DS) 领导者参加的研讨会，探讨人工智能和人工智能相关领域职业的教育途径。研讨会之后将发布一份报告，为决策者提供关于实施这些重要主题的指导，以及确保在整个领域公平实施的政策建议。 一场新兴运动以人工智能、机器学习和数据科学等相关计算学科为中心，许多组织和课程项目正在专门倡导在课堂上进行这些风格的计算机科学教育。该研讨会旨在利用当前时刻，建立协调一致的社区努力，以显着影响学习者通过美国教育系统的轨迹，其结果是（1）让所有学生更好地准备生活在人工智能和数据科学显着发展的数字世界中。影响日常生活，(2) 加强计算专业人员的途径，为在职业生涯中使用人工智能和数据科学做好适当的准备，(3) 激发下一代人工智能和数据科学研究人员为世界技术格局做出贡献，以及(4) 扩大妇女的参与，黑人、西班牙裔、土著和其他代表性不足的人群参与导致所列成果的教育途径。人工智能 (AI)、机器学习 (ML) 和数据科学 (DS) 是当今和未来创新的关键。国家需要打造一支更加多元化和包容性的人工智能创新者队伍，并让所有人对人工智能有基本的了解。该研讨会的目的是 (1) 明确计算机科学教育运动和公平变革机制，从而扩大计算机科学和人工智能、机器学习和数据科学途径的参与； (2) 审查当前的运动目标和国家 CS 标准以更新指南； (3) 提供与有前途的公平实践相一致的运动轨迹，并扩大人工智能、机器学习和 DS 路径的参与。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进行评估，被认为值得支持标准。