This entry first provides an overview of the key characteristics of current data-driven learning (DDL). It then addresses the limitations of traditional DDL and discusses recent innovations, including user-friendly interfaces, multimodal corpora, tools that support inclusivity and accessibility, and generative AI tools for pattern exploration. The entry suggests that DDL practices should evolve to better integrate digital technologies, from low to high tech. Such changes can make DDL more accessible and appealing to a wider range of students and teachers, align better within curricula, and also encourage more informal DDL use outside classroom time.