This study investigates the possibility and efficacy of paper-based, in-class, data-driven learning (DDL) of academic lexical bundles below the C1 level of proficiency described by the Common European Framework of Reference (CEFR; advanced high ACTFL). A two-stage experimental design involving three groups (n = 41) and 24 two-to-four word academic items was implemented. First, the question of whether this type of learning works with these items below the C1 level is addressed through a nonequivalent-groups quasi-experimental design covering a five-week period. The results indicate that this technique is effective at the B2 level, but not at the A2-B1 level. Next, an equivalent-groups experimental design compares this style of learning to conventional techniques at the B2 level. The results of this stage suggest that paper-based, in-class DDL is more effective than conventional learning with academic lexical bundles at the B2 level.
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Previous issue date: 2020-10
endingpage:
193
identifier.citation:
Lay, K. J., & Yavuz, M. A. (2020). Data-driven learning of academic lexical bundles below the C1 level. Language Learning & Technology, 24(3), 176–193. http://hdl.handle.net/10125/44741
identifier.issn:
1094-3501
identifier.uri:
http://hdl.handle.net/10125/44741
number:
3
publicationname:
Language Learning & Technology
publisher:
University of Hawaii National Foreign Language Resource Center Center for Language & Technology (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin)
site_url:
/item/10125-44741/
startingpage:
176
subject:
Academic lexical bundles Corpus Data-driven learning (DDL) English for academic purposes (EAP)
title:
Data-driven learning of academic lexical bundles below the C1 level