Support for Doctoral Students to Attend the 20th International Conference on Artificial Intelligence in Education (AIED 2019)

美国在历史上一直是人工智能教育（AIED）领域的全球领导者，或者使用人工智能技术来加强教学和学习的方法，从儿童在K12环境中学习数学，到士兵在美国军队中学习高技术工作。在这一领域的卓越会议是国际AIED会议;在这次会议上提出的最新研究和从业者学习的最先进的技术，使这些重要的教育技术的创建状态。这项建议将为18名博士提供部分旅费支助。学生，通过竞争过程中选择，参加AIED会议，介绍他们的工作，并获得额外的指导以外的论文委员会作为博士财团的一部分。这项工作的智力价值在于研究生提交的研究，以考虑参加会议的早期职业轨道;这项工作然后通过世界一流的导师的指导来加强，他们以结构化的形式与学生会面，以改善他们的研究。更广泛的影响包括对20名选定学生的职业影响，特别是因为有前途的研究生，他们的顾问可能没有资金送他们参加会议，仍然可以包括在内，他们的工作可以展示和改进。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The United States has historically been the global leader in the field of artificial intelligence in education (AIED), or ways to use artificial intelligence technology to enhance teaching and learning in contexts ranging from children learning math in K12 setting, to soldiers learning highly technical jobs in the US military. The preeminent conference in this field is the International AIED conference; at this conference the latest research is presented and practitioners learn the state of the art techniques that allow creation of these important educational technologies. This proposal would provide partial travel support for 18 Ph.D. students, selected through a competitive process, to attend the AIED conference, present their work, and receive additional mentoring outside of their dissertation committees as part of a doctoral consortium. The intellectual merit of the work rests on the studies the graduate students submit to be considered for participation in the early career track of the conference; this work is then enhanced by guidance from world-class mentors who meet with the students in a structured format to improve their research. The broader impact includes the career impact on the twenty selected students, especially since promising graduate students whose advisors may not have funding to send them to the conference can still be included, and their work can be showcased and improved. Possible long-term broader impacts include building the field of artificial intelligence in education and data analytics researchers and thus eventually, improving the quality of education.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.