Quy Huynh Phu Pham
Biographic Data
| ID | 5067450 |
|---|---|
| NAME | Quy Huynh Phu Pham |
| GIVEN NAMES | Quy Huynh Phu |
| FAMILY NAME | Pham |
| SIGNATURE | PHAM Q H P |
| AFFILIATIONS | The University of Queensland |
| ORCID | 0000-0001-6474-9887 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating Corpus Analysis and ChatGPT in Teaching English Collocations
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‐b…
Students’ self-determination in using machine translation and generative AI tools for English for academic purposes
The rise of machine translation (MT) and generative artificial intelligence (GAI) presents opportunities and challenges for English for Academic Purposes (EAP) instruction. While MT/GAI can support students' learning beyond the classroom, overreliance on MT/GAI may hinder development of essential research and composition skills. Despite some research on MT/GAI's role in self-regulated learning, little is known about students' motivations for its …
Citations in post-methods sections of quantitative and qualitative research articles in second language learning
The role of theory in structuring literature reviews in qualitative and quantitative research articles
No prominent works on this page.
The role of theory in structuring literature reviews in qualitative and quantitative research articles
Students’ self-determination in using machine translation and generative AI tools for English for academic purposes
The rise of machine translation (MT) and generative artificial intelligence (GAI) presents opportunities and challenges for English for Academic Purposes (EAP) instruction. While MT/GAI can support students' learning beyond the classroom, overreliance on MT/GAI may hinder development of essential research and composition skills. Despite some research on MT/GAI's role in self-regulated learning, little is known about students' motivations for its …
Citations in post-methods sections of quantitative and qualitative research articles in second language learning
Integrating Corpus Analysis and ChatGPT in Teaching English Collocations
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‐b…
Computer Science (2 works) · Corpus linguistics (2 works) · Discourse Analysis in Language Studies (2 works) · Linguistics (2 works) · Second Language Acquisition and Learning (2 works) · Sociology (2 works) · Affordance (1 work) · AI in Service Interactions (1 work) · Anthropology (1 work) · Class (philosophy) (1 work)