Data-driven learning

Data-driven learning (DDL) is an approach to foreign language learning. Whereas most language learning is guided by teachers and textbooks, data-driven learning treats language as data and students as researchers undertaking guided discovery tasks. Underpinning this pedagogical approach is the data - information - knowledge paradigm. It is informed by a pattern-based approach to grammar and vocabulary, and a lexicogrammatical approach to language in general. Thus the basic task in DDL is to identify patterns at all levels of language. From their findings, foreign language students can see how an aspect of language is typically used, which in turn informs how they can use it in their own speaking and writing. Learning how to frame language questions and use the resources to obtain data and interpret it is fundamental to learner autonomy. When students arrive at their own conclusions through such procedures, they use their higher order thinking skills and are creating knowledge.

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