The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
AI-writing tools in education: if you can’t beat them, join them
Open accessAbstract
Abstract The release and rapid diffusion of ChatGPT has forced teachers and researchers around the world to grapple with the consequences of artificial intelligence (AI) for education. For second language educators, AI-generated writing tools such as ChatGPT present special challenges that must be addressed to better support learners. We propose a five-part pedagogical framework that seeks to support second language learners through acknowledging both the immediate and long-term contexts in which we must teach students about these tools: understand, access, prompt, corroborate, and incorporate. By teaching our students how to effectively partner with AI, we can better prepare them for the changing landscape of technology use in the world beyond the classroom.
Overview
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
Verification
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?
The cited source says what the claim attributes to it.
In the citing paper
“Such support is crucial in academic and professional settings for those struggling with English writing (Jacob et al., 2023; Tseng & Warschauer, 2023; Warschauer et al., 2023).”
From “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI (2024) · cites this paper as Tseng & Warschauer, 2023
The cited source says what the claim attributes to it.
In the citing paper
“researchers have begun to frame AI as a”
From AI-Integrated Scaffolding to Enhance Agency and Creativity in K-12 English Language Learners: A Systematic Review (2025) · cites this paper as [9]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Warschauer, M. (1998) · Routledge eBooks · doi:10.4324/9781410604682 · Cited by 81
Using an ADAPT Approach to Integrate Google Translate into the Second Language Classroom
Knowles, C. L. (2022) · L2 Journal · doi:10.5070/l214151690 · Cited by 19
Cited by
Sorted by citations
Items 101–120 of 120
Dyer, L. (2025) · Springer eBooks · doi:10.1007/978-3-032-00186-3_6
Student Perceptions of AI-Assisted Institutional Emails
Huynh, M. K., Tran-Pham, T. A., & Nguyễn, H. K. (2026) · Business and Professional Communication Quarterly · doi:10.1177/23294906261418213
Gündoğdu, B., & Merç, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6428286
Jin, S., & Choe, A. T. (2026) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70232
How to Write a Scientific Paper: Data Science and AIPreprint
Chandra, R. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6493866
Otaif, F. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6420-9.ch001
Alhabbash, M., Mohammedi, N. A., Omar, H., & Alothali, S. (2026) · Contemporary Educational Technology · doi:10.30935/cedtech/18477
Gimenez, J., Mansfield, K., & Paterson, R. (2026) · Journal of Applied Research in Higher Education · doi:10.1108/jarhe-12-2025-1058 · Cited by 1
Morari, V. (2026) · International Journal for Educational Integrity · doi:10.1007/s40979-026-00227-9
“This is consistent with research illustrating concrete misconduct examples within students’ specific fields (Tseng and Warschauer 2023).”
Hinchcliffe, D., Fergani, C., & Zajitschek, S. R. K. (2026) · AJP Advances in Physiology Education · doi:10.1152/advan.00273.2025 · Cited by 1
Making Students “Safe” Writers with the SAFE Model in the Age of AI
Nuthihar, R., Anshori, D. S., Cahyani, I., & Sastromiharjo, A. (2026) · Discourses on Culture · doi:10.2478/doc-2026-0008
Hakim, A. (2026) · Journal of English for Academic Purposes · doi:10.1016/j.jeap.2026.101739
Setiawan, I., Emaliana, I., & Sharil, W. N. E. H. (2026) · Cogent Education · doi:10.1080/2331186x.2026.2705012 · Cited by 1
Yang, X., & Liu, X. (2026) · Creative Education · doi:10.4236/ce.2026.179099
Emotional Responses to AI Integration in L2 Writing: A Case Study in Language Teacher Education
Prado, M. C. D. A., & Porcellato, A. M. (2026) · Springer Proceedings in Humanities and Social Sciences · doi:10.1007/978-981-92-0411-3_23
Li, C., Han, Y., & Feng, E. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105751
Murugesan, R., & Madhumathi, P. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2742363
What can process-oriented research tell us about AI-assisted writer agency and learning?
Belcher, D. (2026) · Journal of Second Language Writing · doi:10.1016/j.jslw.2026.101368
Gündoğdu, B., & Merç, A. (2026) · Assessing Writing · doi:10.1016/j.asw.2026.101135
Metadata
- Authors
- Tseng, W., & Warschauer, M.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Tseng, Waverly
- Venue
- Journal of China Computer-Assisted Language Learning
- Publisher
- Walter de Gruyter GmbH
- Published
- 2023-05-09
- Volume
- 3
- Issue
- 2
- Pages
- 258-262
- ISSN
- 2748-3479 (ISSN-L)
- OpenAlex
- W4377826540
- Cited by
- 119
- References
- 2
- Citations by year
- 2026: 26 · 2025: 54 · 2024: 32 · 2023: 7
- FWCI
- 27.93
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of China Computer-Assisted Language Learning (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Education › English Language Learning and Teaching
- Keywords
- AI writing tools, ChatGPT, second language writing, AI literacy, pedagogical framework, human-AI collaboration, AI-generated text, technology integration in language education
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