The Third Workshop of The Learner Data Institute: Big Data, Research Challenges, \& Science Convergence in Educational Data Science

We propose a half-day workshop for researchers interested in (or pursuing) inter-, multi-, and trans-disciplinary convergence research in educational data science. This workshop builds on the two previous workshops held at EDM 2020 and EDM 2021, which each attracted nearly 60 attendees for productive sessions summarizing the work of the LDI and its mission, invited talks, and contributed paper presentations. LDI is a U.S. National Science Foundation (NSF) funded initiative based at the Institute for Intelligent Systems, University of Memphis, in collaboration with Carnegie Learning, Inc., and additional partners spanning academia, government, and industry. LDI has sought to foster and support science convergence to address major challenges in online and blended learning with technology through an expanding, global network of experts, school-based practitioners, interdisciplinary research teams, and task-oriented special interest groups. LDI participants have iteratively refined mechanisms and processes for building shared understanding, identified investment opportunities for science convergence research that harness massive, often multi-modal datasets generated by current computer-supported and adaptive instructional systems. The workshop provides a forum, through contributions of research, work-in-progress, and/or position papers and presentations, for the educational data science community to present multi-disciplinary or trans-disciplinary research that "harnesses the data revolution" with "big" educational data and/or grapples with problems of translating the results of such research into action in real-world educational settings to make the learning ecosystem that incorporates learning technologies and computer-supported, adaptive instructional systems more effective, efficient, and/or equitable. Workshop participants are encouraged to explore the future of convergence research utilizing big data in education.