Exploring the use of Generative Artificial Intelligence (GenAI) in English language teaching: Voices from in-service teachers at an early-adopting Hong Kong secondary school
Open accessAbstract
The launch of ChatGPT has drawn public attention to the potential of Generative Artificial Intelligence (GenAI) tools due to its high accessibility and affordances. Many language teachers have attempted to integrate GenAI tools into their teaching practices. Although some Hong Kong secondary schools have started incorporating AI tools to teach science and technology-related subjects, schools integrating GenAI tools in language education are still scanty. Therefore, this qualitative case study used an in-depth focus-group interview with three in-service English language teachers in an early-adopting Hong Kong secondary school to explore their experiences of utilising GenAI tools in actual teaching practices and the underlying factors facilitating or hindering the application of GenAI in English language teaching. The findings showed that GenAI tools could be used to assist teachers in various tasks, including proofreading, generating teaching and assessment materials, offering feedback and suggestions, etc. The findings indicated that environmental factors, benefits to students’ language learning, and benefits to teachers’ professional work were the enablers for English teachers to integrate GenAI tools. Moreover, limitations of GenAI tools and teachers’ internal hindrance were identified as the barriers to incorporating GenAI in English language teaching. Practical implications and limitations are discussed.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Effective GenAI integration requires balancing linguistic gains with emotional engagement, critical reflection, and ethical awareness.
“effective GenAI integration requires balancing linguistic gains with emotional engagement, critical reflection, and ethical awareness [6, 15].”
From Evaluating the impact of using ChatGPT on EFL students’ argumentative skills (2026) · cites this paper as [6]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
2 retracted
RETRACTED: The impact of generative AI on essay revisions and student engagement
Lo, N., Wong, A., & Chan, S. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100249 · Cited by 78 · see citing works
RetractedChan, S., Lo, N., & Wong, A. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2440182 · Cited by 43 · see citing works
RetractedUsing thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090 · see citing works
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925 · see citing works
(2023) · doi:10.1126/science · Cited by 6,063 · see citing works
Kallio, H., Pietilä, A., Johnson, M., & Kangasniemi, M. (2016) · Journal of Advanced Nursing · doi:10.1111/jan.13031 · Cited by 4,295 · see citing works
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2190148 · Cited by 3,087 · see citing works
Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT
Cotton, D., Cotton, P., & Shipway, J. R. (2023) · doi:10.35542/osf.io/mrz8h · Cited by 3,079 · see citing works
Students' voices on generative ai: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · arXiv · doi:10.48550/arxiv.2305.00290 · Cited by 2,504 · see citing works
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00411-8 · Cited by 2,301 · see citing works
Addressing first- and second-order barriers to change: Strategies for technology integration
Ertmer, P. A. (1999) · Educational Technology Research and Development · doi:10.1007/bf02299597 · Cited by 2,189 · see citing works
Zhai, C., Wibowo, S., & Li, L. D. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00316-7 · Cited by 1,567 · see citing works
Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024) · Business & Information Systems Engineering · doi:10.1007/s12599-023-00834-7 · Cited by 1,409 · see citing works
ChatGPT for Language Teaching and Learning
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023) · RELC Journal · doi:10.1177/00336882231162868 · Cited by 1,371 · see citing works
Self-citationChatGPT for Education and Research: Opportunities, Threats, and Strategies
Rahman, M. M., & Watanobe, Y. (2023) · Applied Sciences · doi:10.3390/app13095783 · Cited by 1,080 · see citing works
Pavlik, J. V. (2023) · Journalism & Mass Communication Educator · doi:10.1177/10776958221149577 · Cited by 972 · see citing works
Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023) · Education Sciences · doi:10.3390/educsci13090856 · Cited by 877 · see citing works
Chiu, T. K. F. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2023.2253861 · Cited by 852 · see citing works
Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education
Su (苏嘉红), J., & Yang (杨伟鹏), W. (2023) · ECNU Review of Education · doi:10.1177/20965311231168423 · Cited by 625 · see citing works
Law, L. (2024) · Computers and Education Open · doi:10.1016/j.caeo.2024.100174 · Cited by 596 · see citing works
Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2023.03.001 · Cited by 535 · see citing works
van den Berg, G., & du Plessis, E. (2023) · Education Sciences · doi:10.3390/educsci13100998 · Cited by 401 · see citing works
Barrett, A., & Pack, A. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00427-0 · Cited by 391 · see citing works
Mohamed, A. M. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-11917-z · Cited by 387 · see citing works
McDonald, N., Johri, A., Ali, A., & Hingle, A. (2024) · arXiv · doi:10.48550/arxiv.2402.01659 · Cited by 375 · see citing works
Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123076 · Cited by 317 · see citing works
McDonald, N., Johri, A., Ali, A., & Collier, A. H. (2025) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2025.100121 · Cited by 295 · see citing works
Mollick, E. R., & Mollick, L. (2023) · doi:10.2139/ssrn.4391243 · Cited by 278 · see citing works
Generative Artificial Intelligence in Education and Its Implications for Assessment
Mao, J., Chen, B., & Liu, J. C. (2024) · TechTrends · doi:10.1007/s11528-023-00911-4 · Cited by 270 · see citing works
Liu, M., Ren, Y., Nyagoga, L. M., Stonier, F., Wu, Z., & Yu, L. (2023) · Future in Educational Research · doi:10.1002/fer3.10 · Cited by 267 · see citing works
Kostka, I., & Toncelli, R. (2023) · Teaching English as a Second or Foreign Language--TESL-EJ · doi:10.55593/ej.27107int · Cited by 253 · see citing works
ChatGPT in education: global reactions to AI innovations
Fütterer, T., Fischer, C., Alekseeva, A., Chen, X., Tate, T., Warschauer, M., & Gerjets, P. (2023) · Scientific Reports · doi:10.1038/s41598-023-42227-6 · Cited by 242 · see citing works
Artificial Intelligence in English Language Teaching: The Good, the Bad and the Ugly
Hockly, N. (2023) · RELC Journal · doi:10.1177/00336882231168504 · Cited by 230 · see citing works
Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., & Kwong, T. (2024) · System · doi:10.1016/j.system.2024.103399 · Cited by 228 · see citing works
Self-citationTossell, C. C., Tenhundfeld, N. L., Momen, A., Cooley, K., & de Visser, E. J. (2024) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2024.3355015 · Cited by 218 · see citing works
Liang, J. L., Wang, L., Luo, J., Yan, Y., & Fan, C. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1285392 · Cited by 195 · see citing works
Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives
Noroozi, O., Soleimani, S., Farrokhnia, M., & Banihashem, S. K. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.845 · Cited by 165 · see citing works
Al-khresheh, M. H. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100218 · Cited by 163 · see citing works
Beginning and first-year language teachers’ readiness for the generative AI age
Moorhouse, B. L. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100201 · Cited by 161 · see citing works
Self-citationWang, T., & Cheng, E. C. K. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100031 · Cited by 141 · see citing works
Huang, F., & Zou, B. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108355 · Cited by 137 · see citing works
How understanding large language models can inform the use of ChatGPT in physics education
Polverini, G., & Gregorcic, B. (2023) · European Journal of Physics · doi:10.1088/1361-6404/ad1420 · Cited by 131 · see citing works
ChatGPT in medicine: prospects and challenges: a review article
Tan, S., Xin, X., & Wu, D. (2024) · International Journal of Surgery · doi:10.1097/js9.0000000000001312 · Cited by 128 · see citing works
Bonner, E., Lege, R., & Frazier, E. (2023) · Teaching English With Technology · doi:10.56297/bkam1691/wieo1749 · Cited by 127 · see citing works
Artificial intelligence and posthumanist translation: ChatGPT versus the translator
Lee, T. K. (2023) · Applied Linguistics Review · doi:10.1515/applirev-2023-0122 · Cited by 104 · see citing works
Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Hafizh, M. A., Zakiyah, M., Syafitri, W., Nusi, A., & Hardiah, M. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100335 · Cited by 100 · see citing works
Zhu, Y., Liu, Q., & Zhao, L. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13420-z · Cited by 92 · see citing works
When early adopters don't adopt
Catalini, C., & Tucker, C. E. (2017) · Science · doi:10.1126/science.aal4476 · Cited by 71 · see citing works
Artificial intelligence and English language teaching: Preparing for the future
Edmett, A., Ichaporia, N., Crompton, H., & Crichton, R. (2023) · BC Final Reports · doi:10.57884/78ea-3c69 · Cited by 64 · see citing works
Moorhouse, B. L., & Wong, K. M. (2021) · Asia Pacific Journal of Education · doi:10.1080/02188791.2021.1988511 · Cited by 61 · see citing works
Self-citationUniversity students’ perceptions of using generative AI in translation practices
Zhang, W., Li, A. W., & Wu, C. (2025) · Instructional Science · doi:10.1007/s11251-025-09705-y · Cited by 60 · see citing works
Self-citationTeaching Focus Group Interviewing
George, M. (2012) · Teaching Sociology · doi:10.1177/0092055x12465295 · Cited by 59 · see citing works
Generative artificial intelligence and ELT
Moorhouse, B. L. (2024) · ELT Journal · doi:10.1093/elt/ccae032 · Cited by 57 · see citing works
Self-citationCabellos, B., de Aldama, C., & Pozo, J. I. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1468900 · Cited by 53 · see citing works
Waluyo, B., & Kusumastuti, S. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101146 · Cited by 49 · see citing works
Investigating the affordances of OpenAI's large language model in developing listening assessments
Aryadoust, V., Zakaria, A., & Jia, Y. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100204 · Cited by 47 · see citing works
Exploring ethical dimensions of AI-enhanced language education: A literature perspective
Mohamed, M. S. P. (2024) · Technology in Language Teaching & Learning · doi:10.29140/tltl.v6n3.1813 · Cited by 41 · see citing works
Wang, L., & Ren, B. (2024) · Education Sciences · doi:10.3390/educsci14121329 · Cited by 38 · see citing works
Can ChatGPT make reading comprehension testing items on par with human experts?
Shin, D., & Lee, J. H. (2023) · Language learning & technology · doi:10.64152/10125/73530 · Cited by 37 · see citing works
Chung, J.-Y., & Jeong, S.-H. (2024) · Online Journal of Communication and Media Technologies · doi:10.30935/ojcmt/15266 · Cited by 33 · see citing works
Söğüt, S. (2024) · Focus on ELT Journal · doi:10.14744/felt.6.1.5 · Cited by 31 · see citing works
Pre-service Language Teachers’ Task-specific Large Language Model Prompting Practices
Moorhouse, B. L., Ho, T. Y., Wu, C., & Wan, Y. (2025) · RELC Journal · doi:10.1177/00336882251313701 · Cited by 30 · see citing works
Self-citationRevolutionizing ESL Teaching with Generative Artificial Intelligence—Take ChatGPT as an Example
<p>Huyue Liao<sup>1</sup>, H. X. (2023) · International Journal of New Developments in Education · doi:10.25236/ijnde.2023.052008 · Cited by 29 · see citing works
Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI
(2023) · Advances in higher education and professional development book series · doi:10.4018/979-8-3693-0487-7 · Cited by 22 · see citing works
Exploring the Potential of Generative AI in English Language Teaching
Ironsi, C. S. (2023) · Advances in higher education and professional development book series · doi:10.4018/979-8-3693-0487-7.ch007 · Cited by 21 · see citing works
The Potential of Generative AI to Reform Graduate Education
George, D. A. S. (2023) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.10421474 · Cited by 19 · see citing works
Improving Pre-service English Teachers' TPACK in Teaching Contest
Huang, F., Zhang, W., & Lv, K. (2024) · Social Education Research · doi:10.37256/ser.5220243941 · Cited by 7 · see citing works
Wu, C.-Z., Yu, H., Moorhouse, B. L., & Wu, M. (2025) · Digital Applied Linguistics · doi:10.29140/dal.v2.102600 · Cited by 6 · see citing works
Self-citationHuang, T., & Wu, C. (2022) · International Journal of Applied Linguistics & English Literature · doi:10.7575/aiac.ijalel.v.11n.3p.14 · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 9
- Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.
- Koehler, M. J., Mishra, P., & Cain, W. (2013). What is technological pedagogical content knowledge (TPACK)? Journal of Education, 193(3), 13-19. https://www.learntechlib.org/primary/p/29544/
- Kohnke, L., Zou, D., & Moorhouse, B. L. (2024). Technostress and English language teaching in the age of generative AI. Educational Technology & Society, 27(2), 306-320. https://doi. org/10.30191/ETS.202404_27( · DOI
- 27107int · DOI
- Lan, Y. J., & Chen, N. S. (2024). Teachers' agency in the era of LLM and generative AI. Educational Technology & Society, 27(1), 1-18. https://www.jstor.org/stable/48754837
- Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
- Ozdemir, N., & Mede, E. (2024). Exploring in-service EFL teachers' readiness for the Generative AI age. International Journal of Research in Teacher Education, 15(4), 60-77. https://doi. org/10.29329/ijrte.2024.1104. · DOI
- Pinter, A. (2017). Teaching young language learners. Oxford University Press.
- Yin, R. K. (2009). Case study research: Design and methods (4th. ed.). SAGE Publications.
Cited by
Sorted by citations
Huang, T., Wu, C., & Wu, M. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00435-1 · Cited by 35 · see citing works
Self-citationWu, H.-H., Lalli, G. S., & Zeng, Y. (2026) · International Journal of Applied Linguistics · doi:10.1111/ijal.70089 · Cited by 14 · see citing works
Preservice language teachers’ agency in self-directed informal learning with GenAI
Lai, C., Qin, J., Jiang, L. G., Gu, M. M., & Lin, C. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105589 · Cited by 10 · see citing works
Wang, Y., Hu, W., & Guo, Q. (2025) · System · doi:10.1016/j.system.2025.103967 · Cited by 6 · see citing works
AI as a collaborator: pre-service teachers’ perspectives on preparing multimodal language lessons
Kohnke, L., & Zou, D. (2026) · Computer Assisted Language Learning · doi:10.1080/09588221.2026.2686396 · Cited by 5 · see citing works
Evaluating the impact of using ChatGPT on EFL students’ argumentative skills
Mai, H. T. (2026) · Discover Education · doi:10.1007/s44217-026-01153-1 · Cited by 2 · see citing works
Humanising Language Teaching in the Age of AI
Jitpaisarnwattana, N., & Montakantiwong, A. (2026) · PASAA · doi:10.66947/pasaa.v72i1.3279 · Cited by 3 · see citing works
Shrestha, N., Manandhar, N. K., Bhandari, B., Maskey, A., & Giri, P. R. (2026) · Advances in Mobile Learning Educational Research · doi:10.25082/amler.2026.01.014
Chan, K. K.-W., & Tang, W. K.-W. (2026) · Education Sciences · doi:10.3390/educsci16060859
Woodworth, J. (2026) · Digital studies in language and literature · doi:10.1515/dsll-2026-0035
Wu, C., & Lam, R. (2026) · Assessing Writing · doi:10.1016/j.asw.2026.101125
Self-citationGenerative AI, Friend or Foe: Exploring GenAI Use for Supporting Diverse Student Needs
Wang, Y., Bown, A., Albinson, P., Fan, S., & Khara, A. (2026) · Young people and learning processes in school and everyday life · doi:10.1007/978-3-032-32479-5_13
Chow, P. W. C., & Ho, C. S. M. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83742-526-620261015
- Authors
- Choi, K. Y., Wu, C., & Moorhouse, B. L.
- Affiliations
- Hong Kong Baptist University (HK)
- City University of Hong Kong (HK)
- Corresponding author
- Choi, Ka Yan
- Wu, Chenze
- Moorhouse, Benjamin Luke
- Venue
- Technology in Language Teaching & Learning
- Publisher
- Castledown Publishers
- Published
- 2025-06-13
- Volume
- 7
- Issue
- 3
- Pages
- 102516
- ISSN
- 2652-1687 (ISSN-L)
- OpenAlex
- W4411291969
- Cited by
- 13
- References
- 63
- Citations by year
- 2026: 11 · 2025: 2
- FWCI
- 13.63
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Technology in Language Teaching & Learning (publishedVersion, cc-by-nc)
- CityU Scholars (submittedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Keywords
- generative AI, English language teaching, in-service teachers, teacher experiences, ChatGPT, AI adoption barriers, teacher professional work, secondary schools, Hong Kong
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review