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

该会议项目为博士生参加全国教育数据挖掘与大规模学习专业组织联合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）提供机会，探索分析学习和学习数据的创新方法，增强他们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探索学习分析领域的早期职业研究人员来提高知识和能力。该项目旨在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。本项目由美国国家科学基金会EDU核心研究（ECR）项目支持。ECR项目强调在该领域产生基础知识的基础STEM教育研究。投资在至关重要、广泛和持久的关键领域：STEM学习和STEM学习环境，扩大STEM参与，以及STEM劳动力发展。该奖项反映了美国国家科学基金会的法定使命，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。

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.