Data-driven learning: learning from assessment

Access to corpus linguistic data is now helping English language teachers and students to benefit from innovative data-driven learning resources.

A key component of data-driven learning is how data from a corpus can be used to inform language learning. The Trinity Lancaster Spoken Learner Corpus Project has been investigating how findings from corpus data can be used in the classroom to help students learn from assessment as well as for assessment.

However, the process of converting valuable spoken corpus data into classroom materials is not necessarily straightforward, as a recent project conducted by Trinity College London reveals. Read the latest project blog from Professor Elaine Boyd.

The initial series of these ‘learning from assessment’ teaching resource worksheets is available on the Trinity College London website.

About the Corpus Project

The Trinity Lancaster Spoken Learner Corpus (SLC) Project is a collaboration between Trinity and the Centre for Corpus Approaches to Social Science (CASS) at Lancaster University.

The aim of the project is to create a large corpus of learner (and examiner) speech which will be used in a wide range of research contexts including Second Language Acquisition, language testing, L2 pedagogy and materials development.