Support for Doctoral Students from U.S. Universities to Attend the AIED 2013 and EDM 2013 Conferences

人工智能与教育国际会议（AIED 2013; http://aied2013.memphis.edu）和教育数据挖掘国际会议(EDM 2013；http://edm2013.memphis.edu)为来自世界各地的研究人员提供专业机会，分享来自人工智能（AI），数据挖掘，计算机科学，认知和学习科学，心理学和教育技术领域的前沿研究成果，重点是设计和有效使用先进的学习技术。AIED研究人员的目标是设计新技术，提高对如何使用这些技术的理解，并将它们整合到学习环境中，从而发挥它们的潜力。EDM研究人员致力于更好地利用技术来收集、分析、共享和管理数据，以阐明学习、促进学习和设计学习环境。来自这两个社区的研究人员都渴望更好地了解人们如何通过技术学习，以及如何通过个人使用和/或通过技术介导的合作，有效地利用技术来帮助人们学习。该项目支持来自美国大学的高级研究生参加这两个会议，分别于2013年7月6日至8日在田纳西州孟菲斯举行的AIED 2013和2013年7月10日至12日举行的EDM 2013。参加会议的研究生将加入两个会议的博士联盟（DC）轨道，并与AIED或EDM社区的高级成员配对，在整个会议期间进行一对一的指导。会议和导师配对的DC轨道旨在为年轻研究人员提供超越他们在本国机构获得的指导，帮助他们从研究生院过渡到富有成效的研究生涯。DC轨道活动包括结构化的海报会议，学生展示他们的工作，与有相关兴趣的同龄人会面，以及与该领域的高级成员互动。每位年轻研究人员的一对一导师将是AIED/EDM社区的资深成员，他们与年轻研究人员有共同的研究兴趣，来自不同的大学，方法与年轻研究人员在其所在机构的经历不同。预计同行之间以及导师和学员之间的对话将贯穿每个年轻研究人员的整个职业生涯。这项活动支持了国家科学基金会培养更多科学、技术、工程和数学方面的高级专业人才的使命。参加会议对研究生来说很昂贵；资助他们的旅行使他们能够向更大的社区展示他们的工作，与该领域的领导者单独交谈，并从高级研究人员和同行那里获得支持和建议。AIED会议的特别之处在于其综合和交叉施肥了三个STEM能力：建立尖端的学习技术，研究基于认知、社会和学习科学的理论教学方法，并严格测试学习环境在促进K-12、大学和工作场所人群（在STEM和其他学科）学习方面的有效性。EDM会议特别关注学习如何使用学习者与学习技术互动时收集的数据来评估学习者的理解和能力，从而提供个性化的反馈和建议。

The International Conference on Artificial Intelligence and Education (AIED 2013; http://aied2013.memphis.edu) and the International Conference on Educational Data Mining (EDM 2013; http://edm2013.memphis.edu) provide professional opportunity for researchers from around the world to share results of cutting-edge research from the fields of artificial intelligence (AI), data mining, computer science, cognitive and learning sciences, psychology, and educational technology that focuses on the design and effective use of advanced learning technologies. AIED researchers aim to design new technologies and advance understanding of how to use those technologies and integrate them into learning environments so that their potential is fulfilled. EDM researchers focus on working towards better use of technology for collecting, analyzing, sharing, and managing data to shed light on learning, promoting learning, and designing learning environments. Researchers from both communities aspire to better understand how people learn with technology and how technology can be used productively to help people learn, through individual use and/or through collaborations mediated by technology. This project supports travel for advanced graduate students from US universities to attend these two conferences, held in Memphis, Tennessee, AIED 2013 from July 6 to 8, 2013, and EDM 2013 from July 10 to 12, 2013. Participating graduate students join the Doctoral Consortium (DC) tracks of the two conferences and are paired with a senior member of the AIED or EDM community for one-on-one mentoring throughout the conferences. The DC tracks of the conferences and mentor pairing are designed to provide young researchers with mentoring beyond what they get at their home institutions to help them transition from graduate school to a fruitful research career. DC track activities include structured poster sessions where students present their work, meetings with peers who have related interests, and interactions with senior members of the field. Each young researcher's one-on-one mentor will be senior members of the AIED/EDM community who shares research interests with the young researcher and who comes from a different university and has a different approach than the young researcher experiences in his/her home institution. It is expected that conversations between peers and between mentors and mentees will continue throughout each young researcher's career.This activity supports the mission of NSF to train more advanced professionals in science, technology, engineering, and mathematics. Attending conferences is expensive for graduate students; funding their travel allows them to present their work to the larger community, speak individually with leaders in the field, and receive both support and advice from both senior researchers and peers. The AIED conference is special in its synthesis and cross-fertilization across three STEM capacities: building cutting-edge learning technologies, investigating pedagogical methods that are theoretically grounded in the cognitive, social, and learning sciences, and rigorously testing the learning environments for their effectiveness at promoting learning (in STEM and other disciplines) among K-12, college, and workplace populations. The EDM conference is special in its focus on learning how to use data collected as learners interact with learning technologies to assess learner understanding and capabilities so as to personalize feedback and advice.