Edited by Pascual Pérez-Paredes and Geraldine Mark
[Studies in Corpus Linguistics 102] 2021
► pp. 149–176
While much of the research into the efficacy of data-driven learning (DDL) has focused on productive skills such as writing, less attention has been on how DDL affects receptive skills, such as reading. This chapter presents a four-year mixed-methods study, which investigates the impact of DDL on the extensive reading (ER) proficiency of second language learners in a Japanese national university. Conducted in three stages and under a wide range of class conditions, this study concludes that explicit forms of DDL are most successful with small groups and one-to-one instruction, where personal feedback and less pressure are key. Implicit forms of DDL tend to work best with larger class sizes, where it results in faster reading speeds and in greater amounts of material read.