Leveraging COCA for teaching collocations with high mutual information scores: A practical approach

June 30, 2025, 8:32 p.m.
Aug. 25, 2025, 7:28 p.m.
Aug. 25, 2025, 7:28 p.m.
open.access
[['https://scholarspace.manoa.hawaii.edu/bitstreams/6b89593b-dda6-4fb6-9c54-695d0c09d702/download', '29_01_10125-73634.pdf']]
[['https://scholarspace.manoa.hawaii.edu/bitstreams/47fee78d-181e-4f04-8838-545668d1a950/download', 'full_text']]
Volume 29 Number 1, 2025
Pham, Quy Huynh Phu
Matt Kessler
2025-06-26T01:07:37Z
2025-06-26T01:07:37Z
2025
2025-06-30
Over the past decade, extensive research has explored collocations with high mutual information (MI) scores. However, second-language learners often struggle to incorporate these collocations into their writing due to a lack of awareness and limited practice opportunities. To address this challenge, the present article presents a 10-week writing course that integrates various activities using COCA, an online corpus tool, to enhance students’ awareness and use of collocations with high MI scores. By analyzing student essays and their reflections on class activities, the article examines the benefits and challenges of using COCA for the instruction of collocations with high MI scores in the English language classroom. Pedagogical recommendations are provided to refine instructional practices.
12
12
Pham, Q. H. P. (2025). Leveraging COCA for teaching collocations with high mutual information scores: A practical approach. Language Learning & Technology, 29(1), 1–12. https://doi.org/10.64152/10125/73634
https://doi.org/10.64152/10125/73634
1094-3501
https://hdl.handle.net/10125/73634
eng
Technology in Practice
1
Language Learning & Technology
University of Hawaii National Foreign Language Resource Center Center for Language & Technology
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
https://creativecommons.org/licenses/by-nc-nd/4.0/
/item/10125-73634/
1
COCA, MI scores, collocations with high MI scores
Leveraging COCA for teaching collocations with high mutual information scores: A practical approach
Column Text
29