Data-driven learning of academic lexical bundles below the C1 level

Date
2020-10-15
Authors
Lay, Keith J.
Yavuz, Mehmet A.
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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)
Volume
24
Number/Issue
3
Starting Page
176
Ending Page
193
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Abstract
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.
Description
Keywords
Academic lexical bundles, Corpus, Data-driven learning (DDL), English for academic purposes (EAP)
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
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