Doctoral Consortium Workshop at the Learning Analytics and Knowledge Conference 2020

2020 年学习分析和知识会议上的博士联盟研讨会

• 批准号: 1951865
• 负责人: Michael Brown
• 金额: $ 2.81万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-03-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951865&HistoricalAwards=false
• 关键词: Doctoral; Consortium; Workshop; Learning; Analytics

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.

在所有科学学科中，数据密集型研究变得越来越重要。特别是，由于学习过程的数字化增加，教育研究领域正在经历方法论的革命。学习分析研究协会（太阳能）是影响这一变化的关键人物。该项目将支持由太阳能经营的学习分析与知识（LAK）2020会议上的博士联盟，该会议将在德国法兰克福举行。 参加该财团将为来自各种研究背景的当前博士生做好准备，这些研究背景构成了学习分析的跨学科领域（LA），包括计算机科学，信息科学，心理学，交流，教育，人工智能和认知科学。它还将允许他们彼此建立联系，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。这些活动至关重要，及时。即将到来的洛杉矶研究人员将在实现使用数据来改善学习，中学和大专生的结果的潜力方面发挥至关重要的作用。LA是一个跨学科领域，其目标是促进并应用有关学习科学和教育的知识，以改善学习的所有方面。学习分析方法包括数据可视化，数据挖掘，数据科学以及混合方法方法，结合了定性和定量方法（例如，访谈和后端，ClickStream数据分析）。能力建设是洛杉矶社区中的一个核心问题。历史上，太阳能通过与协会的主要会议一起举行的专门研讨会来解决这些需求。博士联盟研讨会主持了正在努力论文研究的博士生。该赠款为通过竞争性申请流程选出的我们的学者提供了旅行支持，以参加此活动。他们在研讨会的背景下介绍了他们的作品，以获取反馈，在那里他们收到专家小组的建议，以及在与完整会议受众互动的海报会议中。此外，他们的工作也发表在会议论文集中。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准来评估的。