Data-driven learning (DDL) consists of incorporating authentic examples of language use into classroom activities. The output generated by searching a corpus is called concordance lines. By showing these concordance lines to students, you can direct them to notice patterns. There are two main approaches used with DDL:
Using a corpus to create pedagogical materials using a key word in context (KWIC) with concordance lines
Using a corpus in the classroom (having students explore the corpus) using a key word in context (KWIC) with concordance lines.
iDDL is a new dynamic way to examine concordance lines by embedding search results in an online platform. For example, we can search for a pattern in the corpus and embed the concordance lines in D2L. Along with the window containing the concordance lines, the instructor can add questions to guide students' noticing patterns.