CAP: The Seventh Symposium on Educational Advances in Artificial Intelligence (EAAI-17)

CAP：第七届人工智能教育进展研讨会（EAAI-17）

• 批准号: 1650295
• 负责人: ERIC EATON
• 金额: $ 2.26万
• 依托单位: Association for the Advancement of Artificial Intelligence
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650295&HistoricalAwards=false
• 关键词: CAP; Seventh; Symposium; Educational; Advances

The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning CAP projects build capacity for research and development in the field of cyberlearning by improving technical infrastructure, human capital, and in other ways. The Symposium on Educational Advances in Artificial Intelligence, affiliated with the AAAI (Association for the Advancement of Artificial Intelligence) conference in San Francisco in February 2017 is a premier venue for sharing knowledge about how to use AI in education and how to teach about AI. This grant helps support participation of US students and teachers in the conference, as well as early career faculty and organizers of REU (Research Experiences for Undergraduates) sites. The symposium includes a variety of activities that advance the field and train the next generation of AI researchers and investigators. Peer reviewed papers and keynote addresses are complemented by sessions on model classroom assignments in teaching AI, and a competition for undergrads to create innovative tasks for students learning robotics. A discussion group will share best practices among REU site coordinators. Tracks will consider outreach and ethics in teaching AI. Broader impacts beyond the participants at the symposium are supported by the materials produced and shared among the community, such as the database of open educational materials, and the outputs of the student competition.

网络学习和未来学习技术计划资助的努力将有助于设想下一代学习技术，并推进我们对人们如何在技术丰富的环境中学习的了解。网络学习CAP项目通过改善技术基础设施、人力资本和其他方式，建设网络学习领域的研发能力。2017年2月在旧金山弗朗西斯科举行的AAAI（人工智能促进协会）会议附属的人工智能教育进展研讨会是分享如何在教育中使用人工智能以及如何教授人工智能知识的首要场所。这笔赠款有助于支持美国学生和教师参加会议，以及早期职业教师和REU（本科生研究经验）网站的组织者。研讨会包括各种活动，推动该领域的发展，并培训下一代人工智能研究人员和调查人员。同行评审的论文和主题演讲由人工智能教学中的模型课堂作业会议和本科生为学习机器人的学生创建创新任务的竞赛补充。一个讨论小组将在REU现场协调员之间分享最佳实践。轨道将考虑外展和道德在教学人工智能。除了研讨会参与者之外，更广泛的影响得到了社区制作和共享的材料的支持，例如开放式教材数据库和学生竞赛的成果。

项目成果

Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program

EAAI 2017 新未来人工智能教育者计划中人工智能教育的蓝天理念

• DOI: 10.1145/3175502.3175509
• 发表时间: 2018
• 期刊: AI Matters
• 作者: Eaton, Eric;Machado, Tiago;Williams, Tom;Koenig, Sven;Schulz, Claudia;Maurelli, Francesco;Lee, John;Eckroth, Joshua;Crowley, Mark;Freedman, Richard G.
• 通讯作者: Freedman, Richard G.