Student and Early-Career Support for Computer-Supported Collaborative Learning (CSCL) 2019 Conference

计算机支持的协作学习(CSCL)是一年两次的跨学科国际会议，支持支持协作学习的学习技术方面的高级研究。往年为参加本次会议提供博士生和早期职业支持对来自计算机科学、信息科学、教育、心理学和认知科学等不同领域的与会者的职业生涯和研究产生了重大影响。该项目为来自美国大学的5名博士生和5名职业早期研究人员提供旅行津贴，以参加2019年6月在法国里昂举行的CSCL 2019年。参与者参加一个博士联盟和一个早期职业研讨会。这一提议的学术价值取决于选择高质量的博士生研究和职业早期研究人员，潜在地改善这些研究生的论文和职业早期学者的研究。因此，这是一个重要的能力建设项目，利用了CSCL社区的专门知识和以前举办的讲习班的成果。更广泛的影响包括增加在学习科学和先进学习技术领域开展国际合作的机会，并支持在这一跨学科领域工作的多学科中一些最优秀和最聪明的研究人员的职业发展。通过支持来自多个学科的高质量美国学者进入这个跨学科领域，这项提议有助于确保美国在这个富有成效和至关重要的研究领域的参与和平等。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。

Computer-Supported Collaborative Learning (CSCL) is a bi-annual interdisciplinary international conference supporting advanced research in learning technologies in support of collaborative learning. Providing doctoral student and early-career support for attending this conference in prior years has had a significant impact on the career and research of participants from diverse domains such as computer science, information science, education, psychology, and cognitive science. This project provides travel stipends for 5 doctoral students and 5 early-career researchers from U.S. universities to attend CSCL 2019, held in Lyon France, June 2019. Participants attend a Doctoral Consortium and an Early Career Workshop. The intellectual merit of this proposal hinges on the selection of top-quality doctoral student research and early-career researchers, potentially improving the dissertations of these graduate students and the research of early-career academics. As such it is an important capacity-building project that leverages the expertise of the CSCL community and the outcomes of previous workshops held. The broader impacts include multiplying opportunities to develop international collaborations in the field of learning sciences and advanced learning technologies, and supporting the career development of some of the best and brightest researchers in multiple disciplines who work in this interdisciplinary area. By supporting a pipeline of high-quality US scholars from multiple disciplines into this interdisciplinary field, this proposal helps ensure US participation and parity in this productive and vital area of research.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.