HUD Colloquium Fall 2024 Presents: Dr. Renzhe Yu

The Department of Human Development Colloquium Presents:

Dr. Renzhe Yu

Assistant Professor of Learning Analytics/Educational Data Mining

Dept. of Human Development

Teachers College, Columbia University

Abstract

While Large Language Models (LLMs) offer significant potential for transforming education and bridging gaps in opportunity and achievement, the real-world consequences of their widespread availability have yet to be fully examined. In this talk, I will discuss potential equity challenges associated with LLMs in education, grounded in the research on digital inequalities. I will also share large-scale empirical evidence of complicated socioeconomic inequalities in the wild following the increasing adoption of LLM tools in 2023. These findings shed light on digital divides in the era of LLMs and call for researchers, educators, and policymakers on responsible practices to improve educational equity through novel technologies.