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

CSforALL将召开一个由计算机科学(CS)教育、人工智能(AI)、机器学习(ML)和数据科学(DS)领导者组成的研讨会，探索通往人工智能和人工智能相关领域职业的教育途径。讲习班之后将提交一份报告，为决策者提供关于落实这些重要专题的指导，并提出政策建议，以确保在整个环境中公平执行。一场新兴的运动以人工智能、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都在专门倡导在课堂上进行这些风格的CS教育。研讨会旨在利用当前的时机，通过美国教育系统为学习者创造协调一致的努力，以显著影响学习者的发展轨迹，成果是(1)使所有学生更好地为生活在人工智能和数据科学显著影响日常生活的数字世界做好准备，(2)加强计算机专业人员在其职业生涯中使用人工智能和数据科学的途径，(3)激发下一代人工智能和数据科学研究人员为世界技术版图做出贡献，以及(4)扩大女性、黑人、西班牙裔、土著、人工智能(AI)、机器学习(ML)和数据科学(DS)是创新的关键，无论是现在还是未来。国家需要创造一支更多样化、更具包容性的人工智能创新者队伍，并从根本上理解人工智能。研讨会的目的是(1)围绕CS教育运动和公平变革机制创建清晰度，从而扩大对CS和AI、ML和DS路径的参与；(2)审查当前的运动目标和国家CS标准，以更新指导；以及(3)提供与公平和扩大对AI、ML和DS路径的参与的有希望的实践相一致的运动轨迹。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.