The DOI matches its Crossref record.
WHO WROTE THIS ESSAY? DETECTING AI-GENERATED WRITING IN SECOND LANGUAGE EDUCATION IN HIGHER EDUCATION
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“A recent study demonstrated this in detailing one such qualitative study comprising a mere six ESL lecturers, highlighting narrow empirical breadth and ongoing needs for broader policy-focused research to inform institutional responses to student work produced via AI [2].”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“Although an ever-growing volume of literature about AI in education has been generated, much of the research on detection tool research to this point is of limited scope and lacking in institutional breadth [2].”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“ESL instructors often judged grammatically accurate and sophisticated writing as AI-generated, revealing a bias against second-language writers and highlighting how current detection systems may unintentionally penalize linguistic diversity [2].”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“Educators rely on subjective judgments without clear policies, sometimes misinterpreting linguistic sophistication as evidence of AI authorship.”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“Faculty in ESL contexts often feel uncertain about addressing suspected AI-generated student work, highlighting the lack of comprehensive, AI-specific institutional guidelines [2].”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“The authors noted that all the detection tools produced reports indicating the probability that the content had been generated by AI [2] and highlighted their probabilistic and often inconsistent nature.”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“ESL instructors often relied on superficial linguistic cues, mistakenly equating fluency with artificiality.”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“At the same time, AI detection tools showed inconsistent results and lacked transparency in their classification criteria, complicating their role in making academic decisions [2].”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“Some researchers have studied AI detectors in an ESL context and found notable discrepancies between the judgments made by humans regarding the origin of the content versus what machine detectors indicated.”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“In their investigation, ESL teachers were only 33% to 66% correct in identifying whether texts were composed by students or produced by AI [2], highlighting the dilemma teachers experience in terms of being able to make credible distinctions.”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“The lack of standardized procedures for flagged submissions compounds these technical shortcomings [2].”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“Furthermore, institutions are inconsistent in interpreting AI-assisted work under academic integrity policies [2].”
From Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education (2025) · cites this paper as [2]
In the citing paper
“It was found that AI detectors worked more effectively in identifying AI-generated texts than humans, and AI, to some extent, challenged lecturers' previous evaluation criteria and strategies.”
From A systematic review of the early impact of artificial intelligence on higher education curriculum, instruction, and assessment (2025) · cites this paper as Alexander et al., 2023
In the citing paper
“It was found that AI detectors worked more effectively in identifying AI-generated texts than humans, and AI, to some extent, challenged lecturers' previous evaluation criteria and strategies.”
From A systematic review of the early impact of artificial intelligence on higher education curriculum, instruction, and assessment (2025) · cites this paper as Alexander et al., 2023
In the citing paper
“particularly when many academics have reported insufficient AI literacy (Alexander et al., 2023).”
From A systematic review of the early impact of artificial intelligence on higher education curriculum, instruction, and assessment (2025) · cites this paper as Alexander et al., 2023
In the citing paper
“Fifty-four percent of the reviewed articles highlighted that the emergence of GenAI presented a significant challenge to student academic integrity (Adeshola & Adepoju, 2023; Alexander et al., 2023; Chaudhry et al., 2023; Chan, 2023; Dai et al., 2023; Elsayed, 2023; Geerling et al., 2023; Kang, 2023; Nikolic et al., 2023; Ouh et al., 2023; Overono & Ditta, 2023; Perkins, 2023; Smolansky et al., 2”
From A Scoping Review on How Generative Artificial Intelligence Transforms Assessment in Higher Education (2024) · cites this paper as Alexander et al., 2023
Citations
Cited by
Sorted by citations
Walter, Y. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00448-3 · Cited by 1,113
A Scoping Review on How Generative Artificial Intelligence Transforms Assessment in Higher Education
Xia, Q., Weng, X., Ouyang, F., Lin, T. J., & Chiu, T. K. F. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00468-z · Cited by 493
Karataş, F., Abedi, F. Y., Ozek Gunyel, F., Karadeniz, D., & Kuzgun, Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12574-6 · Cited by 252
Batista, J., Mesquita, A., & Carnaz, G. (2024) · Information · doi:10.3390/info15110676 · Cited by 256
Velasquez, J. D., Franco, C. J., & Cadavid, L. (2023) · DYNA · doi:10.15446/dyna.v90n230.111700 · Cited by 171
Lo, C. K., Yu, P. L. H., Xu, S., Ng, D. T. K., & Jong, M. S. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00342-5 · Cited by 342
Li, B., Lowell, V. L., Wang, C., & Li, X. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100266 · Cited by 216
Liang, J., Stephens, J. M., & Brown, G. T. L. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1522841 · Cited by 112
Navigating the landscape of AI literacy education: insights from a decade of research (2014–2024)
Yang, Y., Zhang, Y., Sun, D., He, W., & Wei, Y. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04583-8 · Cited by 128
Challenges of implementing ChatGPT on education: Systematic literature review
García-López, I. M., González, C. S. G., Soledad, M., & Espinosa, J. M. M. (2024) · International Journal of Educational Research Open · doi:10.1016/j.ijedro.2024.100401 · Cited by 133
Nelson, A. S., Santamaría, P. V., Javens, J. S., & Ricaurte, M. (2025) · Education Sciences · doi:10.3390/educsci15050611 · Cited by 79
Wang, P., Jing, Y., & Shen, S. (2025) · The Internet and Higher Education · doi:10.1016/j.iheduc.2025.100996 · Cited by 93
Chaka, C. (2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.1.14 · Cited by 88
Nguyen, L., & Barrot, J. S. (2024) · Assessing Writing · doi:10.1016/j.asw.2024.100899 · Cited by 71
Goulart, L., Matte, M. L., Mendoza, A., Alvarado, L., & Veloso, I. (2024) · Journal of Second Language Writing · doi:10.1016/j.jslw.2024.101160 · Cited by 55
Gozali, I., Wijaya, A. R. T., Lie, A., Cahyono, B. Y., & Suryati, N. (2024) · The JALT CALL Journal · doi:10.29140/jaltcall.v20n1.1200 · Cited by 82
Martin, A. J., Collie, R. J., Kennett, R., Liu, D., Ginns, P., Sudimantara, L. B., Dewi, E. W., & Rüschenpöhler, L. (2025) · Learning and Individual Differences · doi:10.1016/j.lindif.2025.102723 · Cited by 51
AI-Based Digital Cheating At University, and the Case for New Ethical Pedagogies
Gray, S. L., Edsall, D. G., & Parapadakis, D. (2025) · Journal of Academic Ethics · doi:10.1007/s10805-025-09642-y · Cited by 32
Tan, X., Wang, C., & Xu, W. (2025) · Applied Linguistics · doi:10.1093/applin/amae092 · Cited by 33
Utilizing OpenAI 's GPT ‐4 for written feedback
Carlson, M., Pack, A., & Escalante, J. (2023) · TESOL Journal · doi:10.1002/tesj.759 · Cited by 29
Can novice teachers detect AI-generated texts in EFL writing?
Wilde, V. D. (2024) · ELT Journal · doi:10.1093/elt/ccae031 · Cited by 39
Chuang, P.-L., & Yan, X. (2025) · System · doi:10.1016/j.system.2025.103846 · Cited by 49
Hua, H., & Yao, C.-J. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1469197 · Cited by 27
Kangwa, D., Msafiri, M. M., & Fute, A. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70109 · Cited by 22
Evaluating the Effectiveness and Ethical Implications of AI Detection Tools in Higher Education
Deep, P. D., Edgington, W. D., Ghosh, N., & Rahaman, M. S. (2025) · Information · doi:10.3390/info16100905 · Cited by 26
Bui, T. T. U., & Tong, T. V. A. (2025) · AsiaCALL Online Journal · doi:10.54855/acoj.251615 · Cited by 33
Utilizing Artificial Intelligence in Higher Education: A Systematic Review
Alateyyat, S. K., & Soltan, M. A. A. (2024) · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · doi:10.1109/icetsis61505.2024.10459629 · Cited by 23
(2024) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2024.7.1.33 · Cited by 16
Hui, L., & Wu, X. (2025) · AI and Ethics · doi:10.1007/s43681-025-00827-0 · Cited by 19
A Systematic Review of the Role of Artificial Intelligence in Second Language Writing Education
Luo, Y., Xia, Y., & Lu, X. (2025) · Digital studies in language and literature · doi:10.1515/dsll-2025-0001 · Cited by 21
Tafazoli, D., & McCallum, L. (2025) · Journal of language and Education · doi:10.17323/jle.2025.27858 · Cited by 13
Exploring the efficacy of ChatGPT-4 feedback in second language Spanish writing
Barrios-Beltran, D. (2025) · System · doi:10.1016/j.system.2025.103771 · Cited by 18
Altamirano, S. F. S., Maquen‐Niño, G. L. E., Roldán, C. M. G., Herrera, A. P., & Cárdenas, D. M. C. (2026) · Review of Education · doi:10.1002/rev3.70152 · Cited by 12
“AI, will you help?” How learners use Artificial Intelligence when writing
Krajka, J., & Olszak, I. (2024) · XLinguae · doi:10.18355/xl.2024.17.01.03 · Cited by 11
Pakdel, F., Khojasteh, L., Kafipour, R., & Shahsavar, Z. (2025) · Language Teaching Research · doi:10.1177/13621688251322953 · Cited by 11
From Curiosity to Dependency: Nigerian Students’ Perspectives on AI Integration in Academic Research
Nwagbara, U. U. (2025) · Journal of Academic Ethics · doi:10.1007/s10805-025-09641-z · Cited by 15
Covington, N. V., & Vruwink, O. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00427-9 · Cited by 8
Li, K., Lun, L., & Hu, P. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13362-6 · Cited by 9
Memarian, B., & Doleck, T. (2025) · SN Computer Science · doi:10.1007/s42979-025-04569-y · Cited by 18
Balancing Innovation and Integrity: An Emerging Technology Report on SciSpace in Academic Writing
Barrot, J. S. (2024) · Technology Knowledge and Learning · doi:10.1007/s10758-024-09802-w · Cited by 7
Khojasteh, L., Shokrpour, N., & Moslehi, S. (2025) · Teaching and Teacher Education · doi:10.1016/j.tate.2025.104952 · Cited by 11
Han, J., Yang, Y., & Liu, G. (2025) · European Journal of Education · doi:10.1111/ejed.70240 · Cited by 10
The early wave of ChatGPT research: A review and future agenda
Busch, P. A., Hausvik, G. I., & Nielsen, J. A. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100213 · Cited by 9
The Integration of ChatGPT in Language Education
Liu, W. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-0872-1.ch001 · Cited by 6
Mapletoft, N., Price, A., Smith, K., Mapletoft, O., & Elliott, M. (2024) · Enhancing Teaching and Learning in Higher Education · doi:10.62512/etlhe.11 · Cited by 6
Mohammed, C., & Sarjusingh, W. (2024) · 2024 IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893028 · Cited by 5
Generative Artificial Intelligence and Postsecondary Education
Gierhart, A. R., Shefferly, N., Li, Y., & Speetzen, E. D. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-5633-3.ch002 · Cited by 4
Younes, Z. B. B., Hassan, I., Umar, M. M., Mustafa, N. H., Abdullah, A. T. H., & Azmi, M. N. L. (2024) · Arab World English Journal · doi:10.24093/awej/call10.1 · Cited by 4
Mohammed, C., Sarjusingh, W., & Rocke, S. (2025) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon62633.2025.11016366 · Cited by 3
A Conceptual Framework for Identifying Risks of AI Integration in Higher Education
Al-araibi, A. A. M., & Abdalla, R. (2025) · International Journal of Computer Applications · doi:10.5120/ijca2025925258 · Cited by 2
Rodríguez, M. E. C., Subirats, L., Reina, B. N., & Sacha, G. M. (2025) · Applied Sciences · doi:10.3390/app152011004 · Cited by 3
Oladokun, B. D., Ukubeyinje, S. E., Oyighan, D., Obim, I. E., & Oloniruha, E. A. (2025) · College & Undergraduate Libraries · doi:10.1080/10691316.2025.2607372 · Cited by 3
Mapping the landscape: generative AI in higher education assessment (2020-2024) - a scoping review
Ng, S. H. S., Chan, H. Y., Wong, J. H. K., Sam, L. C. F., & Privitera, A. J. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2614079 · Cited by 9
Malcalm, E., Boakye, I., & Asiedu, E. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-6106-7_11 · Cited by 2
Towards a taxonomy of artificial intelligence in teaching writing in a foreign language
Laborda, J. G., Magal-Royo, T., & Madarova, S. (2024) · South African Journal of Education · doi:10.15700/saje.v44n4a2540 · Cited by 2
WIP Post-Assessment Processes Given the Rise of Generative AI: Findings from the Literature
Mohammed, C., & Rocke, S. (2024) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893183 · Cited by 2
The Influence of AI Tools on the Student Writing Process and Compositional FluencyPreprint
Graham, O., & Milan, Y. (2025) · Preprints.org · doi:10.20944/preprints202506.0832.v1 · Cited by 6
Exploring the Authenticity of AI-Generated Texts as Resources for Language Teaching and Learning
Kılıçkaya, F. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5092-9.ch009 · Cited by 1
Wahyuni, S. F., Putro, N. H. P. S., Efendi, A., & Andriyani, N. (2026) · Journal of Academic Ethics · doi:10.1007/s10805-026-09753-0 · Cited by 4
EVALUATING ORIGINALITY IN AI-GENERATED CONTEMPORARY WORKS
Kaur, G., Jagarajan, M., Saini, J., Bhanot, D., Prajapati, D., & Shukla, B. S. (2025) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v6.i5s.2025.6925 · Cited by 2
Georgiou, G. P. (2026) · AI in Education · doi:10.3390/aieduc2010002 · Cited by 3
Prompting change: Exploring undergraduate perceptions after AI literacy training
Govender, T. (2026) · Journal of ExoTechnology and Education · doi:10.36615/9953hz86 · Cited by 1
OVERVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN DEVELOPING DIGITAL LEARNING RESOURCES
Hue, L. T. M., Vinh, N. T., Son, N. K., et al. (2024) · Vinh University Journal of Science · doi:10.56824/vujs.2024a059a · Cited by 1
Fostering a ‘Human with AI’ approach for evaluating students’ writing in English
Al-kadi, A. M. T. (2025) · Studies in Linguistics Culture and FLT · doi:10.46687/vfbz9792 · Cited by 3
Student Assessment using Generative AI by for Content Specific Challenge Identification
Reddy, V. R. K., Tharun, N., Reddy, K. V. K., Hariharan, S., Maddala, B. P., & Swapna, B. (2025) · International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei65986.2025.11013397 · Cited by 2
Lang, B. (2025) · Die Unterrichtspraxis/Teaching German · doi:10.1111/tger.70026 · Cited by 1
Tool or medium? Expertise in training media and communications students in the Generative AI era
Atkinson, P., Dann, C., van der Nagel, E., Han, G.-S., Johnson, A., Rai, M., Richardson, L., & Stieven-Taylor, A. (2025) · Communication Research and Practice · doi:10.1080/22041451.2025.2582950 · Cited by 1
Detecting AI Generated Content in Short Form TextPreprint
Jadhwani, S., Jain, S., & Doshi, P. (2025) · Research Square · doi:10.21203/rs.3.rs-5331372/v1 · Cited by 1
Gandhi, A., & Gani, P. H. (2024) · Ingénierie des systèmes d information · doi:10.18280/isi.290314 · Cited by 4
Journal, A. W. E. (2024) · SocArXiv (OSF Preprints) · doi:10.31235/osf.io/7jdkf
Noonen, S., & Baek, J. (2024) · The Journal of Korean Association of Computer Education · doi:10.32431/kace.2024.27.4.015
Artificial Intelligence-Generated Text in Higher Education - Usage and Detection in the Literature
Berek, L. (2024) · Interdisciplinary Description of Complex Systems · doi:10.7906/indecs.22.3.1
Unlocking Language Learning with Immersive Technology
Lan, Y. (2025) · Springer eBooks · doi:10.1007/978-3-031-51447-0_21-1
Key features to distinguish between human- and AI-generated texts: What university professors sayPreprint
Georgiou, G. P. (2025) · doi:10.31234/osf.io/jvytm_v1
SUN’IY INTELLEKTNING AKADEMIK YOZUVGA TA’SIRI: YUTUQLARI VA MUAMMOLARI
Goyibova, N. (2025) · UzMU xabarlari · doi:10.69617/nuuz.v1i1.1.6179
Carou, D., Álvarez, D., García-Méndez, S., de Arriba-Pérez, F., Reyes-Santías, F., Fenollera, M., & Pereira, A. (2025) · International Journal of Mechanical Engineering Education · doi:10.1177/03064190251376856
From Ideation to Publication: Ethical Practices for Using Generative AI in Academic Research
Singh, J. P., Mishra, N., & Singla, B. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83608-298-920251007 · Cited by 3
Zang, X., Li, N., & Liang, Y. (2026) · Asia Pacific Journal of Education · doi:10.1080/02188791.2026.2613806 · Cited by 2
I Did or AI’d? Contrastive Rhetoric of Human and AI-Authored Personal Narrative Essays
Ordoñez, J. P. (2026) · Journal of interdisciplinary perspectives · doi:10.69569/jip.2025.770
Ethical Considerations in GenAI Integration in TESOL
Savvidou, C. (2026) · Springer eBooks · doi:10.1007/978-3-032-14502-4_5
Self-citationHow Has ChatGPT Been Positioned as a Threat to Academic Integrity? A Scoping Review
Liu, Q., Gladman, T., Gallagher, S., & Hu, A. (2026) · Springer eBooks · doi:10.1007/978-981-95-1875-3_3 · Cited by 2
Leveraging AI-Generated Content for Holistic Foreign Language Instruction
Yingsoon, G. Y., Suyan, Z., Chua, N. A., Rahman, N. A. A., Wenpang, L., & Manman, G. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2721-1.ch004
Feedback in Writing Instruction: The Role of Teachers and Peers
Kurihara, N. (2026) · Springer eBooks · doi:10.1007/978-981-95-6163-6_12
Zhang, S., & Wang, J. (2026) · Journal of China Computer-Assisted Language Learning · doi:10.1515/jccall-2025-0030
Flores, G. T., & Guyo, K. D. (2026) · International Conference on Educational and Information Technology · doi:10.1109/iceit68991.2026.11521109
Al‐Barakat, A. A., AlAli, R. M., Aboras, A. A., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-9371719/v1
Bakshi, P. (2026) · Research in Post-Compulsory Education · doi:10.1080/13596748.2026.2692211
Pan, Y.-L., Yu, P.-F., Yin, X.-L., Hong-sheng, Y., Long, X., & Tong, Q. (2026) · Educational Technology Research and Development · doi:10.1007/s11423-026-10659-2 · Cited by 1
Söğüt, S., & BÜYÜKKIDIK, S. (2026) · Educational Assessment Evaluation and Accountability · doi:10.1007/s11092-026-09495-y
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
Digital tools in foreign language teaching: opportunities and challenges
Marіeіev, D., Terletska, L., Boiko, A., et al. (2026) · EDUWEB · doi:10.46502/issn.1856-7576/2026.20.02.6
Мельников, Д. А., & Петрова, А. А. (2026) · Vestnik of Russian New University Series «Complex systems models analysis management» · doi:10.18137/rnu.v9187.26.02.p.100
Investigating Pre-Service Language Teachers’ Experiences with Generative AI in Language Education
Yetkin, R., & Altınkaya, Z. Ö. (2026) · Kuramsal Eğitimbilim · doi:10.30831/akukeg.1829191
Maini, E., Kumar, S. A., Marwaha, D., & Maini, B. (2026) · Smart innovation, systems and technologies · doi:10.1007/978-981-95-9101-5_41
Generative AI and Authentic Assessment in Higher Education: Evidence from Ghanaian Universities
Obeng-Appiah, Y. (2026) · International Social Sciences and Education Journal · doi:10.61424/issej.v4i3.993
Wang, X., Liu, X., Zhang, H., & Li, R. (2026) · Research Square · doi:10.21203/rs.3.rs-10560352/v1
Abdelhadi, A., & Sahli, N. (2026) · Review of Artificial Intelligence in Education · doi:10.37497/rev.artif.intell.educ.v7ii.1391
Hammed, A. (2026) · International Journal of Literature Language and Linguistics · doi:10.52589/ijlll-hawoou
Metadata
- Authors
- Alexander, K., Savvidou, C., & Alexander, C.
- Venue
- Teaching English With Technology
- Publisher
- University of Nicosia
- Published
- 2023
- Volume
- 2023
- Issue
- 2
- ISSN
- 1642-1027 (ISSN-L)
- OpenAlex
- W4381515751
- Cited by
- 101
- References
- 0
- Citations by year
- 2026: 29 · 2025: 39 · 2024: 31 · 2023: 2
- FWCI
- 8.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Teaching English With Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Social Sciences › Education › Academic integrity and plagiarism
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- AI-generated text detection, generative AI, second language writing, higher education, academic integrity, plagiarism detection, authorship attribution
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
