Integrating Corpus Analysis and ChatGPT in Teaching English Collocations
A Hybrid Approach
Bibliographic Data
| ID | 10817660 |
|---|---|
| Authors | Quy Huynh Phu Pham (0000-0001-6474-9887, Faculty of Foreign Languages Ton Duc Thang University Ho Chi Minh City Vietnam, corresponding author) |
| Year | 2026 |
| Volume | 60 |
| Issue | 1 |
| Pages | 463-476 |
| Publication date | 2026-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | TESOL Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0039-8322 • E-ISSN: 1545-7249 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/tesq.70046 |
| OpenAlex | W4416301328 |
| Language | EN |
| References cited | 21 |
Corpus‐based activities have been proven highly effective for teaching English collocations by exposing second‐language (L2) learners to extensive authentic linguistic input, fostering autonomy, and promoting awareness of collocational patterns. However, corpus analysis can be time‐consuming, present contextual challenges, and require technical expertise to maximize its use, all of which may prevent L2 learners from fully benefiting from corpus‐based activities. ChatGPT, an artificial intelligence chatbot, offers significant potential for L2 learning by generating diverse linguistic output, providing immediate feedback, and revising responses based on user input. Despite its potential, concerns about inaccuracies in ChatGPT‐generated content and the risk of fostering passive learning behaviors remain. The present article aims to propose a practical approach that combines the strengths of corpus analysis and ChatGPT in teaching English collocations. More specifically, it outlines a 2‐hour training workshop with various practical activities designed to help L2 students effectively combine these tools to improve collocation learning. Drawing on students' insights from class discussions and their revised essays, the article critically reflects on the strengths and limitations of this approach and offers pedagogical suggestions to inform the application of corpus analysis and ChatGPT in teaching collocations
Class (philosophy) · Collocation (remote sensing) · Computational linguistics · Corpus linguistics · Language acquisition · Teaching english · Teaching method · AI in Service Interactions · Second Language Acquisition and Learning · Text Readability and Simplification
Corpora in Applied Linguistics
ChatGPT for Language Teaching and Learning
AI literacy and its implications for prompt engineering strategies
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
Evaluating the Use of Corpus-based Instruction in a Language Teacher Education Context
Data-driven learning
| Highly cited | No |
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