Doctoral Consortium Workshop at the Learning Analytics and Knowledge Conference 2020

数据密集型研究在所有科学学科中都变得越来越重要。特别是，由于学习过程日益数字化，教育研究领域正在经历一场方法论革命。学习分析研究学会(SOLAR)是实现这一变化的关键参与者。该项目将支持将在德国法兰克福举行的学习分析和知识(LAK)2020会议上的一个博士联盟，该会议由Solar运营。参与该联盟将培养来自不同研究背景的现有博士生，这些研究背景构成了学习分析(LA)的跨学科领域，包括计算机科学、信息科学、心理学、通信、教育、人工智能和认知科学。它还将使他们能够相互联系，并与目前从事学习、分析、研究和相关工作的教授和实践者建立联系，以确保这个社区的持续发展。这些活动是至关重要的，也是及时的。即将到来的新一代洛杉矶研究人员将在实现利用数据改善小学、中学和大专学生的学习、动机和毅力方面的潜力方面发挥至关重要的作用。洛杉矶是一个跨学科领域，其目标是促进和应用关于学习科学和教育的知识，以改善学习的各个方面。学习分析方法包括数据可视化、数据挖掘、数据科学，以及定性和定量方法相结合的混合方法方法(例如，访谈和后端、点击流数据分析)。能力建设是洛杉矶社区关注的核心问题。从历史上看，Solar在一定程度上通过与协会主要会议同时举办的专门讲习班来满足这些需求。博士联盟的研讨会接待了正在努力进行论文研究的博士生。这笔赠款为通过竞争性申请程序挑选出来参加这一活动的美国学者提供旅行支持。他们在研讨会的背景下介绍他们的工作以寻求反馈，他们在研讨会上接受专家导师小组的建议，并在海报会议上与全体会议观众互动。此外，他们的工作发表在会议记录上。这一奖项反映了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。

Data intensive research is becoming increasingly important across all scientific disciplines. In particular, the field of education research is experiencing a revolution in methodology due to the increasing digitization of the learning process. The Society for Learning Analytics Research (SoLAR) is a key player in effecting this change. This project will support a Doctoral Consortium at the Learning Analytics and Knowledge (LAK) 2020 conference, run by SoLAR, to be held in Frankfurt, Germany. Participating in the consortium will prepare current doctoral students from diverse research backgrounds that make up the interdisciplinary field of Learning Analytics (LA), including computer science, information science, psychology, communication, education, artificial intelligence, and cognitive science. It will also allow them to network with each other and with professors and practitioners who are currently engaged in learning analytics research and related work to ensure the continued development of this community. These activities are critical and timely. The upcoming generation of LA researchers will play a vital role in realizing the potential of using data to improve outcomes for elementary, secondary, and post-secondary students in learning, motivation, and perseverance.LA is an interdisciplinary field whose goal is to advance and apply knowledge about learning sciences and education to improve all aspects of learning. Learning Analytics methods include data visualization, data mining, data science, and mixed methods approaches combining qualitative and quantitative methods (e.g., interviews and back-end, clickstream data analysis). Capacity building is a central concern within the LA community. SoLAR has historically addressed these needs, in part, through specialized workshops held in conjunction with the Society's major conference. The Doctoral Consortium workshops host PhD students who are grappling with their dissertation research. This grant provides travel support to US scholars selected through a competitive application process to participate in this event. They present their work for feedback both in the context of workshop, where they receive advice from a panel of expert mentors, and in a poster session in which they interact with the full conference audience. In addition, their work is published in the proceedings of the conference.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.