Support for Doctoral Students from U.S. Universities to Attend AIED 2017 and/or EDM 2017

历史上，美国在教育领域的人工智能(AIED)方面一直处于全球领先地位，AIED是指在从儿童在学校学习数学到士兵在美国军队学习高技术工作的背景下，利用计算机化人工智能来加强教学和学习的方法。在这一领域最杰出的会议是AIED会议；在这次会议上，展示了最新的研究，实践者学习了允许创造这些重要教育技术的最先进的技术。一个同样重要的相关会议是教育数据挖掘(EDM)会议，该会议专注于大数据和教育分析的研究。这项提议将为通过竞争过程选出的20名博士生提供部分旅行支持，让他们参加AED或EDM会议或同时参加这两个会议，展示他们的工作，并作为博士联盟的一部分，在他们的论文委员会之外接受额外的指导。这项工作的学术价值取决于研究生提交的被考虑参加会议早期职业轨迹的研究；然后，这项工作得到世界级导师的指导，他们以结构化的形式与学生会面，以改进他们的研究。更广泛的影响包括对20名被选中的学生的职业影响，特别是因为有前途的研究生可能没有资金让他们参加会议，他们的工作可以展示和改进。可能产生的长期、更广泛的影响包括在教育和数据分析研究人员中建立人工智能领域，从而最终提高教育质量。

The United States has historically been the global leader in the field of artificial intelligence in education (AIED), or ways to use computerized artificial intelligence to enhance teaching and learning in contexts ranging from children learning math in school, to soldiers learning highly technical jobs in the US military. The preeminent conference in this field is the 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. A related conference that is equally significant is the Educational Data Mining (EDM) conference, which focuses on research on big data and analytics for education.This proposal would provide partial travel support for 20 Ph.D. students, selected through a competitive process, to attend either or both of the AIED or EDM 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.