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变得越来越重要。特别是，由于学习过程的日益数字化，教育研究领域正在经历一场方法论的革命。学习分析研究协会（SoLAR）是影响这一变化的关键参与者。该项目将支持在学习分析和知识（LAK）2020会议上的博士生联盟，由SoLAR运行，将在德国法兰克福举行。 参与该联盟将为来自不同研究背景的博士生做好准备，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从业人员建立联系，以确保该社区的持续发展。这些活动是关键和及时的。未来一代的LA研究人员将发挥至关重要的作用，实现利用数据的潜力，以改善小学，中学和中学后学生在学习，动机和毅力的成果。LA是一个跨学科的领域，其目标是推进和应用有关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、数据科学以及结合定性和定量方法的混合方法（例如，访谈和后端、点击流数据分析）。能力建设是LA社区的核心问题。过去，太阳能生活和娱乐协会一直通过与协会的主要会议同时举办的专门讲习班来满足这些需要。博士联盟研讨会主办博士生谁是与他们的论文研究挣扎。该补助金为通过竞争性申请程序选择参加此次活动的美国学者提供旅行支持。他们在研讨会上介绍自己的工作，征求反馈意见，在研讨会上，他们听取专家导师小组的建议，在海报会议上，他们与全体会议观众互动。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。

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.