Author Description

DataEd is organized for the second time as a dedicated venue for the presentation and discussion of data systems education research. The purpose of this workshop is to bring together the database and the computing education research communities to share findings, to cross-pollinate perspectives and methods, and to shed light on opportunities for mutual progress in data systems education. DataEd explores the broad area of data systems education: the teaching and learning of databases, data management, and data systems topics, ranging across the whole field, from classical topics, such as physical design, query optimization, data modeling, data integration, visual analytics, and query languages to contemporary topics, such as ML & AI for data management systems, data management for ML & AI, very large data science applications/pipelines, and responsible data management.