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3 - Investigating User Perceptions of a Corpus-Informed DDL Resource

User Experiences of ColloCaid

Published online by Cambridge University Press:  26 December 2025

Gavin Brookes
Affiliation:
Lancaster University
Niall Curry
Affiliation:
Manchester Metropolitan University
Robbie Love
Affiliation:
Aston University
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Summary

In data-driven learning (DDL), learners discover how words or phrases are used by analysing corpus data with tools like concordancers. This makes it a direct application of corpus linguistics in language learning and teaching. This chapter examines the use of ColloCaid, a DDL writing assistant for academic writing, and explores how learners’ perceptions of this tool can inform future corpus applications. After discussing the challenges and opportunities of DDL adoption for learning and teaching, a diary study with twelve academic writers working or studying at a university in Catalonia evaluates how well ColloCaid addresses these challenges. Results suggest that while DDL tools help reduce data overload, they still pose technical challenges, even when user friendliness was a central consideration in their design. An analysis of participant diary entries and responses to follow-up interviews highlights closer integration with word processors and other everyday productivity software as a potential solution. More broadly, the results suggest that the evaluation of corpus-based tools should focus on their usability as well as their effectiveness for learning, take place beyond the classroom in ecologically valid contexts, and consider a variety of text types beyond typical academic genres such as abstracts, essays, and reports.

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