Conference: Doctoral Consortium for the 2024 Learning Analytics & Knowledge Conference

会议：2024 年学习分析博士联盟

• 批准号: 2400421
• 负责人: Christopher Brooks
• 金额: $ 5.18万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2400421&HistoricalAwards=false
• 关键词: Conference; Doctoral; Consortium; 2024; Learning

This conference project provides support for doctoral students to participate in a Doctoral Consortium at a combined national conference of the Educational Data Mining and Learning at Scale professional organizations. The consortium will provide opportunities for the early career scholars (along with the mentors) to explore innovative methods to analyze learning and data about learning, enhance their knowledge and skills related to learning analytics research, and consider the intersection of theory, research, and practice. The overarching goal of the project is to advance knowledge and capacity through exchange of ideas and mentoring of early career researchers exploring the field of learning analytics. The project is part of an effort to nurture the development of expertise across disciplinary boundaries and to support the development of multidisciplinary teams necessary for conducting learning analytics research.This project is supported by NSF’s EDU Core Research (ECR) program. The ECR program emphasizes fundamental STEM education research that generates foundational knowledge in the field. Investments are made in critical areas that are essential, broad, and enduring: STEM learning and STEM learning environments, broadening participation in STEM, and STEM workforce development.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.

该会议项目为博士生参加教育数据挖掘和大规模学习专业组织联合全国会议的博士联盟提供支持。该联盟将为早期职业学者（以及导师）提供探索创新的机会。分析学习和学习数据的方法，增强与学习分析研究相关的知识和技能，并考虑理论、研究和实践的交叉点。该项目的总体目标是通过思想交流和指导来提高知识和能力。早期职业研究人员该项目致力于培养跨学科专业知识的发展，并支持开展学习分析研究所需的多学科团队的发展。该项目得到了 NSF 的 EDU 核心研究 (ECR) 的支持。 ECR 计划强调基础 STEM 教育研究，在重要、广泛和持久的关键领域进行投资：STEM 学习和 STEM 学习环境、扩大 STEM 的参与以及 STEM 劳动力。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。