This entry examines the contributions of data-driven learning (DDL) and broad data-driven learning (BDDL) to mobile-assisted language learning (MALL), and vice versa. The entry reviews the emergent research in this field and proposes critical ways to integrate DDL skills and corpus literacy in a new ecology of digital learning that takes advantage of mobile devices to situate language learning and language learners’ needs across both formal and informal learning practices. (In this entry, informal learning is conceptualized as “everyday life [learning] activities whose main objective is not educational, [and] non-intentional and not leading to certification. Non-formal learning is [however] embedded in planned activities not always explicitly designated as learning (in terms of learning objectives, learning time or learning support), but which contain an important learning element. Non-formal learning is intentional from the learner’s point of view. In particular, adult non-formal learning refers to the self-directed intentional learning that takes place in people’s leisure time outside of both the workplace and the curriculum of formal learning activities”. (Conole & Pérez-Paredes, 2017, p. 46). In this entry, the term self-directed uses is preferred when describing non-formal learning.