DDL (Data-Driven Learning)

Data-Driven Learning (DDL) is an approach to language teaching that uses real language data, typically from corpora, to inform instruction. DDL allows learners to explore authentic language use and identify patterns, collocations, and language structures. By analyzing data, students develop a deeper understanding of language and improve their ability to use it accurately and appropriately. DDL can be integrated into classroom activities through tasks like concordance analysis, frequency lists, and language investigations.