A Study on the Application of Data-driven Learning in Vocabulary Teaching and Leaning in China‟s EFL Class

Data-driven learning (DDL) developed from corpus linguistics plays a pioneering role in the evolution of EFL teaching, allowing the learners to indentify and induce language rules by observing numerous real corpora concordances. With the guidance of new teaching notion advocated by College English Curriculum Requirements in China, DDL model has become the tendency for college English learners' efficient and autonomous learning. It becomes urgent to take advantage of this method and apply it to college vocabulary teaching. Compared with traditional foreign language teaching and learning method, data-driven learning is characterized by “autonomic learning”, “authentic language input”, “self-discovery”, and “bottomup inductive learning”, which will conducive to the formation of the students' personalized learning abilities and the development of their autonomic learning abilities.