Education Commons^™

The Structural Consequences Of Big Data-Driven Education, Elana Zeide

AI-DR Collection

Educators and commenters who evaluate big data-driven learning environments focus on specific questions: whether automated education platforms improve learning outcomes, invade student privacy, and promote equality. This article puts aside separate unresolved—and perhaps unresolvable—issues regarding the concrete effects of specific technologies. It instead examines how big data-driven tools alter the structure of schools’ pedagogical decision-making, and, in doing so, change fundamental aspects of America’s education enterprise. Technological mediation and data-driven decision-making have a particularly significant impact in learning environments because the education process primarily consists of dynamic information exchange. In this overview, I highlight three significant structural shifts that accompany …