This entry explores the scope of data-driven learning (DDL) from its original understanding presented to the academic world by Tim Johns in the 1990s to what it has emerged to become in a modern technological world at the frontier of the potential of artificial intelligence (AI). It discusses its original conceptualisation and how that might be adjusted and expanded in light of more modern and current data availability, configuration and digital manipulation tools and resources. The impact of the development and growth of the World Wide Web is discussed as both a data source and search tool, as well as the more ready availability of corpus-based pedagogic resources which were not present more than 30 years ago. A distinction between DDL and corpus linguistics, as these terms are now used, is made before a final note on the ever-changing face of such technologies with reference to the growing capabilities of AI.