Data-Driven Learning

Data-Driven Learning (DDL) is an educational approach where learners analyze large collections of real-world texts or data to identify patterns, structures, and language use. Instead of traditional instruction, students actively explore authentic materials—like books, articles, or recordings—to develop language skills and understanding. This method encourages independent discovery, critical thinking, and practical application, often supported by digital tools that help learners examine and interpret data directly. DDL fosters a deeper, more personalized learning experience by empowering learners to become observant analysts of language as it naturally occurs.