Artificial Intelligence and Second Language Learning: An Efficient Approach to Error Remediation
Abstract
While theoretical approaches to error correction vary in the second language acquisition (SLA) literature, most sources agree that such correction is useful and leads to learning. While some point out the relevance of the communicative context in which the correction takes place, others stress the value of consciousness-raising. Trying to reconcile the two approaches, this paper describes an application of artificial intelligence in the second language error remediation process. The software presented is called the Intelligent Tutor. It diagnoses some typical errors in the writing of university students who are learning English as a second language. A quasi-experimental study consisting of a grammaticality judgment pre-test, a treatment in the form of the Intelligent Tutor and a short answer post-test, was carried out with 266 university students in three countries. The findings show that artificial intelligence is an efficient instrument of error remediation, reducing the error rate by an average of 83%. This paper discusses the theoretical underpinnings of the software used, briefly describes the software itself and then presents the study design, its findings and their implications in the wider context of second language learning.
Integrity signals
Registry
Cites
Statistics
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?
One study presents an ITS of this kind in the field of second language learning (Dodigovic, 2007).
“One study presents an ITS of this kind in the field of second language learning (Dodigovic, 2007).”
From Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019) · cites this paper as Dodigovic, 2007
Cites
Schmidt, R. (2001) · Cognition and Second Language Instruction · doi:10.1017/cbo9781139524780.003 · Cited by 1,322 · cited 1× · see citing works
“Most SLA theorists nowadays agree that noticing is a crucial event in language error correction and learning (Schmidt, 2001).”
BackgroundEllis, N. C. (2001) · Cognition and Second Language Instruction · doi:10.1017/cbo9781139524780.004 · Cited by 367 · cited 3× · see citing works
“However, it is doubtful that language learning is a totally implicit process (N. Ellis, 2001).”
Background
Flagged first, then by citations
Cited by
Sorted by citations
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · see citing works
“Dodigovic (2007) defines AI in her article as follows (p. 100): Artificial intelligence (AI) is a term referring to machines which emulate the behaviour of intelligent beings [ … ] AI is an interdisciplinary area of knowledge and research, whose aim is to understand how the human mind works and how…”
BackgroundInfluentialWei, L. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1261955 · Cited by 536 · see citing works
“The AI system offered more effective and efficient language learning feedback, comments, and alternatives compared to other language learners, thus making a substantial contribution to learners’ language achievement (Dodigovic, 2007; Kim et al., 2019).”
BackgroundPreparing teachers for the application of AI-powered technologies in foreign language education
Pokrivcakova, S. (2019) · Journal of Language and Cultural Education · doi:10.2478/jolace-2019-0025 · Cited by 489 · see citing works
Technologies for foreign language learning: a review of technology types and their effectiveness
Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. (2014) · Computer Assisted Language Learning · doi:10.1080/09588221.2012.700315 · Cited by 1,144 · see citing works
“Dodigovic (2007) performed an evaluation of an ITS designed to address seven errors common to learners of English as an L2 and found that use of an ITS resulted in an average 83% reduction in these types of errors.”
Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education
Lameras, P., & Arnab, S. (2021) · Information · doi:10.3390/info13010014 · Cited by 291 · see citing works
“…mind processes information and knowledge from a cognitive and socio-cultural perspective has been embraced by Zanetti et al. [14] and Dodigovic [15] referring to AI as an interdisciplinary area of knowledge and research, whose aim is to understand how the human mind works and then emulate this…”
BackgroundShazly, R. F. E. (2021) · Expert Systems · doi:10.1111/exsy.12667 · Cited by 344 · see citing works
“This contrasts the literature that proposed that technology-driven applications positively impact learners' affect by engaging with non-judgemental applications (Bao, 2019; Dizon, 2020; Dodigovic, 2007; Lee, 2019; Tafazoli & Gómez-Parra, 2017).”
BackgroundQiao, H., & Zhao, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1255594 · Cited by 326 · see citing works
“In addition, AI-based instruction ensures learners receive continuous and immediate feedback on their speaking performance (Dodigovic, 2007; Kim et al., 2019).”
BackgroundExploring the Benefits and Challenges of AI-Language Learning Tools
de la Vall, R. R. F., & Araya, F. A. G. (2023) · The International Journal of Social Sciences and Humanities Invention · doi:10.18535/ijsshi/v10i01.02 · Cited by 234 · see citing works
“Some research (Dodigovic, 2007; Golonka et al., 2014) shows that AI language learning tools can be just as good as traditional in-person classes or tutors, especially for beginners.”
BackgroundOu, A. W., Stöhr, C., & Malmström, H. (2024) · System · doi:10.1016/j.system.2024.103225 · Cited by 196 · see citing works
“ICALL systems have evolved from early iterations like Intelligent Tutoring Systems (e.g., Dodigovic, 2007; Tschichold, 1999) to later products such as Grammarly (Barrot, 2022; Koltovskaia, 2020; ONeill & Russell, 2019) and Wordtune (Zhao, 2022).”
BackgroundYang, H., & Kyun, S. (2022) · Australasian Journal of Educational Technology · doi:10.14742/ajet.7492 · Cited by 208 · see citing works
“First, some studies showed that using an intelligent tutoring system improved the quality of writing (e.g., Weston-Sementelli et al., 2018), the accuracy levels of the scoring system (e.g., Pandarova et al., 2019), or reduced error rate (e.g., Dodigovic, 2007).”
BackgroundResultInfluentialWeng, X., & Chiu, T. K. F. (2023) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100117 · Cited by 181 · see citing works
Students’ Perceptions of the Use of AI in a Writing Class
Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022) · Proceedings of the 67th TEFLIN International Virtual Conference & the 9th ICOELT 2021 (TEFLIN ICOELT 2021) · doi:10.2991/assehr.k.220201.009 · Cited by 107 · see citing works
“…written interactions [14], process students’ language input [13], give more effective grammar feedback [23], assist students’ errors in grammar [7], provide better learning experiences [16], conduct meaningful communications [18], help students gaining more confidence [11], increase students’…”
BackgroundRad, H. S. (2025) · Smart Learning Environments · doi:10.1186/s40561-025-00377-2 · Cited by 132 · see citing works
Yu, L., & Yu, Z.-G. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1061778 · Cited by 73 · see citing works
“Artificial intelligence (AI) was defined by Dodigovic (2007, p. 100) as the technology imitating human behaviors, which was an interdisciplinary inquiry aiming to perceive the way human brain worked and integrate human working mechanisms into technologies.”
BackgroundKökver, Y., Pektaş, H. M., & Çelik, H. (2024) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-024-12919-1 · Cited by 54 · see citing works
“Also in the field of language learning and teaching tasks, as highlighted by Dodigovic (2007), AI can mimic the behaviour of both teachers and learners.”
Bibliographical Analysis of Artificial Intelligence Learning in Higher Education
Ali, M., & Abdel-Haq, M. K. (2020) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-7998-4846-2.ch003 · Cited by 59 · see citing works
Yu, H., & Nazir, S. (2021) · Mobile Information Systems · doi:10.1155/2021/3773414 · Cited by 41 · see citing works
“[71] On the track of AI 2016 [72] E-learning using AI 2015 [25] E-learning experience with AI-supported software 2015 [29] College English teaching information based on AI 2013 [32] *e AI-based distance education system 2013 [24] Computer-assisted learning 2012 [23] Computer-based activities on iranian high-schools st…”
MethodKorucu-Kış, S. (2024) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2024.101639 · Cited by 37 · see citing works
Revita: a Language-learning Platform at the Intersection of ITS and CALL
Katinskaia, A., Nouri, J., & Yangarber, R. (2018) · International Conference on Language Resources and Evaluation · doi:10.63317/5f2yjftgogkj · Cited by 37 · see citing works
“Golonka et al. (2014) published a review of computational methodologies in language learning; the review mentions three evaluations of ITS for language learning (Nagata, 1993; Nagata, 1997; Dodigovic, 2007).”
BackgroundMalik, U. J., Riaz, R. D., Rehman, S. U., Usman, M., Riaz, R. E., & Hamza, R. (2024) · Case Studies in Construction Materials · doi:10.1016/j.cscm.2024.e03510 · Cited by 25 · see citing works
Gao, Y. (2021) · Theory and Practice in Language Studies · doi:10.17507/tpls.1102.13 · Cited by 25
“The abroad scholars such as Marina, D. (2007), Gutareva, N. Y. (2014), Olga Vitalievan Sumtsova and Tatiana Yurievna Aikina (2015) focus on the modern educational technologies applied in foreign languages acquisition, and the scholars at home such as Liu Wei (2013), Li Jingyun (2016) and Zhang…”
BackgroundLiu, X.-S., Faisal, M., & Alharbi, A. (2022) · Soft Computing - A Fusion of Foundations, Methodologies and Applications · doi:10.1007/s00500-022-06957-5 · Cited by 23 · see citing works
“Dodigovic (2007) has discussed the use of artificial intelligence in reducing errors in writing during the learning of another language. The AI-based system named Intelligent Tutor is used in order to remove the mistakes from the writing of university students while learning English as a second language. The study pre…”
BackgroundInfluentialAutomated Writing Evaluation: The Accuracy of Grammarly’s Feedback on Form
Dodigovic, M., & Tovmasyan, A. (2021) · International Journal of TESOL Studies · doi:10.46451/ijts.2021.06.06 · Cited by 23 · see citing works
“For instance, one such aid, called the Intelligent Tutor has the ability to identify and correct the learner errors, using multiple sources of data in order to acquire knowledge needed to diagnose the errors (Dodigovic, 2007).”
BackgroundSelf-citationUsing an Artificial Intelligence Based Program to Enhance Primary Stage Pupils' EFL Listening Skills
Ghoneim, N. M. M., & Elghotmy, H. E. A. (2021) · المجلة التربوية لکلية التربية بسوهاج · doi:10.21608/edusohag.2021.140694 · Cited by 21 · see citing works
“The current study views artificial intelligence as the examination and plan of intelligent board framework that perceives its environment and adopts activities which boost learners‟ chances of success (Dodigovic, 2007; Reiland, 2017).”
BackgroundCollege Teachers’ Behavioral Intention to Adopt Artificial Intelligence-Assisted Teaching Systems
Zhang, W., & Hou, Z. (2024) · IEEE Access · doi:10.1109/access.2024.3445909 · Cited by 30 · see citing works
“AIATS can not only emulate the behaviors of teachers or learners and offer personalized learning experiences [29], but also optimize teaching strategies and learning paths through data analysis.”
BackgroundViberg, O., & Kukulska-Hulme, A. (2021) · arXiv.org · doi:10.48550/arxiv.2104.12486 · Cited by 19
“…process, we need to build on recent advances in the fields of learning analytics (see e.g., Viberg, Wasson, & Kukulska-Hulme, 2020) and artificial intelligence (e.g., Dodigovic, 2020) to be able to offer adaptive language learning paths that address the learners’ needs across learning settings.”
BackgroundAbdullah Nagro, S. (2021) · International Journal of Education and Practice · doi:10.18488/journal.61.2021.94.687.714 · Cited by 19 · see citing works
“Artificial intelligence has also been applied to teach English as a second language, and it successfully remitted linguistic errors and improved the learning efficiency of students (Dodigovic, 2007).”
BackgroundZhu, Y., & Siquan, X. (2025) · European Journal of Education · doi:10.1111/ejed.70160 · Cited by 23 · see citing works
Busso, A., & Sanchez, B. (2024) · Technology in Language Teaching & Learning · doi:10.29140/tltl.v6n3.1211 · Cited by 14 · see citing works
“…2019), vocabulary (Kim, 2018), grammar (Abu Ghali et al., 2018; Castañeda & Cho, 2016), pronunciation (Kim et al., 2021), and error correction (Dodigovic, 2007), research on AI implementation in Japan remains relatively limited, particularly in the context of fostering communicative…”
Awada, G. M. (2022) · Language Teaching Research · doi:10.1177/13621688221091611 · Cited by 12 · see citing works
“The AI-based software called ‘Intelligent Tutor’ could help identify the mistakes and improve university learners’ writing skills (Dodigovic, 2007).”
Automatic annotation of error types for grammatical error correction
Bryant, C. (2019) · doi:10.17863/cam.40832 · Cited by 12
“Rules based on string matching alone are rather limited however, and so most rule-based systems additionally make use of automatically obtained part-of-speech (POS) tags and parse information to detect and correct errors (McCoy et al., 1996; Park et al., 1997; Schneider and McCoy, 1998; Michaud et al., 2000; Dodigovic…”
BackgroundArtificial intelligence in education and EFL teachers’ attitudes: scale development and validation
Fatalaki, J. A., Saeedi, Z., Marand, E. S., & Firuz, A. R. N. (2025) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2025.2494823 · Cited by 12 · see citing works
“Dodigovic (2007) conducted an investigation into the role of AI in providing an effective error correction system to enhance the writing skills of English as a Second Language (ESL) learners.”
An AI-based English education platform during the COVID-19 pandemic
Um, H., Kim, H., Choi, D., & Oh, H. (2023) · Universal Access in the Information Society · doi:10.1007/s10209-023-01046-2 · Cited by 11 · see citing works
Epistemic trust in generative AI for higher education scale (ETGAI-HE scale)
Pandey, C. S., Mishra, P., Pandey, S., & Pandey, S. (2025) · AI & Society · doi:10.1007/s00146-025-02566-6 · Cited by 12 · see citing works
Orak, S. D. (2025) · Applied Linguistics Research Measurement and Practice · doi:10.65334/n40kdg46 · Cited by 9 · see citing works
“Early studies in intelligent tutoring systems demonstrated that AI can enhance language learning through adaptive correction and guided remediation (Dodigovic, 2007).”
Use of Generative Artificial Intelligence tools in higher education environments
Seco, D., Groesser, S. N., & Pedrosa, A. M. (2025) · Multidisciplinary Journal for Education Social and Technological Sciences · doi:10.4995/muse.2025.23623 · Cited by 10 · see citing works
Bisante, A., Dix, A. J., Panizzi, E., & Zeppieri, S. (2023) · ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction · doi:10.1145/3605390.3605414 · Cited by 8 · see citing works
“There has also been research regarding Second Language Learning [11] and Error Remediation in those systems using Artificial Intelligence.”
BackgroundLEARNER-CONTENT INTERACTION IN AN ONLINE ENGLISH LEARNING COURSE AT A VIETNAMESE UNIVERSITY
Pham, T. (2018) · VNU Journal of Foreign Studies · doi:10.25073/2525-2445/vnufs.4307 · Cited by 7
“In terms of online language writing, the application of advanced technology has made immediate corrective and targeted feedback possible (Dodigovic, 2007) and learners’ frequency of editing their own written works increases (Yoon, 2008).”
BackgroundThe Evaluation of a Blended Teaching Mode Based on an AI Language Learning Platform
Li, B., & Peng, M. (2021) · 2021 2nd International Conference on Information Science and Education (ICISE-IE) · doi:10.1109/icise-ie53922.2021.00320 · Cited by 5 · see citing works
“…oriented Computer-assisted Language Learning (CALL) was evaluated with both qualitative and quantitative methods, and the conclusion is that AI can be of significant help to learners, but the design needs to synchronize with learners’ needs and the appropriate language learning theory [3].”
MethodTowards Post-postmethodism: Embracing a New Generation of Methodism
Taie, M. (2020) · Theory and Practice in Language Studies · doi:10.17507/tpls.1007.05 · Cited by 5 · see citing works
““Those systems used in SLA that contain parsers are referred to as Intelligent Tutoring Systems [ITs], or specimens of … (ICALL)” (Dodigovic, 2007, p. 100).”
BackgroundRamirez, H., & Jones, D. (2013) · Administrative Issues Journal Education Practice and Research · doi:10.5929/2013.3.1.7 · Cited by 5 · see citing works
Hashemifardnia, A., & Kooti, M. (2025) · English Education Journal · doi:10.24815/eej.v16i2.45696 · Cited by 4 · see citing works
Dužević, I., Baković, T., & Surman, V. (2025) · Entrepreneurial Business and Economics Review · doi:10.15678/eber.2025.130308 · Cited by 4
“Moreover, AI can imitate the role of both the teacher and the student (Dodigovic, 2007) and possibly replace the teacher (Goralski & Tan, 2020).”
Revisiting Classification Taxonomy for Grammatical Errors
Zou, D.-Q., Ye, J.-H., Liu, Y.-L., Wu, Y., Xu, Z.-S., Lan, Z.-H., Li, Y.-H., Zheng, H.-T., Zhou, L., & Kim, H.-G. (2025) · IEEE International Joint Conference on Neural Network · doi:10.1109/ijcnn69854.2026.11729055 · Cited by 4
Magal-Royo, T., & García, J. (2017) · doi:10.6018/red/53/6 · Cited by 4
“…ayudar a los agentes educativos (profesores, alumnos, instituciones, etc…) a conocer, mejorar y personalizar el escenario formativo de un área concreta de conocimiento, (Bailin, 1988; Harrington, 1996; Robinson, 2005; Dodigovic, 2007; Ettlinger, Morgan-Short, Faretta-Stutenberg, & Wong, 2016).”
BackgroundHan, S., Kim, S., & Chung, M. (2024) · International Conference on Language Resources and Evaluation · doi:10.63317/4gsasnue3vue · Cited by 3
“Meanwhile, Dodigovic (2007) has stressed their effectiveness in rectifying grammar errors.”
BackgroundA Review of International Research on Artificial Intelligence in Teachers' Teaching
Duan, Q., Xiao, M., & Bai, Y. (2023) · International Conference on Educational and Information Technology · doi:10.1109/iceit57125.2023.10107869 · Cited by 3 · see citing works
“The most common terms for ITS described in research are intelligent (online) tutors or intelligent tutoring systems (e.g., Dodigovic, 2007 [9]; Miwa, Terai, Kanzaki, & Nakaike, 2014 [10]), Although they are also often identified as intelligent(software)agents(e.g.,…”
BackgroundExploring Artificial Intelligence Implications for Higher Education Student Affairs
Barrett, A., Plate, M., Borasi, R., & Harris, N. F. (2024) · Journal of Student Affairs Research and Practice · doi:10.1080/19496591.2024.2424799 · Cited by 2 · see citing works
“…Among the many definitions of AI proposed since its beginnings in the 1900s (Anyoha, 2017), we use “AI is an interdisciplinary area of knowledge and research, whose aim is to understand how the human mind works and how to apply the same principles in technology design” (Dodigovic, 2007, p. 100).”
Designing Russian Teaching Material for University Students: Rationale and Mock Unit
Bocale, P. (2020) · doi:10.17507/tpls.1007.01 · Cited by 2
Indahyanti, R. (2019) · Exposure Jurnal Pendidikan Bahasa Inggris · doi:10.26618/exposure.v8i2.2684 · Cited by 1 · see citing works
Borrego, M. M. (2025) · Revista Brasileira de Lingüística Aplicada · doi:10.1590/1984-6398202545036 · Cited by 3 · see citing works
Deyasi, A., Bhattacharjee, A. K., & Mukherjee, S. (2020) · Intelligent systems reference library · doi:10.1007/978-981-15-8744-3_14 · Cited by 3 · see citing works
Machine-Assisted Thematic Mapping of AI in Education Discourse: A Systematic Review from 2005-2024
Kaur, H., & Pavlova, M. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-07342-5 · Cited by 2 · see citing works
“C1 – 2019-2024 (Sperling et al., 2024) In Search of Arti fi cial Intelligence (AI) Literacy in Teacher Education: A Scoping Review (Murphy, 2019) (2020) raise ethical concerns around the adoption of AIEd surrounding student rights and freedom, exploring critical questions regarding the extent to which it should be util…”
InfluentialWahyuningsih, S. (2024) · Prominent · doi:10.24176/pro.v7i2.11444 · Cited by 1
“Dodigovic (2007) investigates the utilization of artificial intelligence in the process of remediation in academic writing.”
Andaloussi, B. E. (2025) · SHS Web of Conferences · doi:10.1051/shsconf/202521401020 · Cited by 1 · see citing works
“Dodigovic [59] la définit comme faisant référence à des machines qui imitent le comportement d'êtres intelligents.”
Shalileh, S., Kairov, M., Baminiwatte, R., Parshina, O., & Dragoy, O. (2024) · IEEE Access · doi:10.1109/access.2024.3468460 · Cited by 1 · see citing works
“The authors in [40] proposed an AI-based error remediation tutor to detect typical writing mistakes made by university students participating in English courses as their second language.”
BackgroundGouider, I. (2023) · Social Science Research Network · doi:10.2139/ssrn.4519935 · Cited by 1 · see citing works
Maamri, F. (2026) · Journal of education and science · doi:10.35923/jes.2026.1.09
“Foundational studies in language learning support the premise that automated error correction provides non-judgmental environments that significantly reduce student anxiety and promote active linguistic experimentation (Dodigovic, 2009).”
Manihuruk, I. M. E., Sidabutar, Y. A., & Rumahorbo, L. (2026) · Jurnal Ilmu Pendidikan dan Sosial · doi:10.58540/jipsi.v5i2.1709
Zhuo, J., & Aquino, J. (2023) · The QUEST: Journal of Multidisciplinary Research and Development · doi:10.60008/thequest.v2i3.106
Bleyl, N., Gao, S., & Maschke, K. (2022) · 2022 IFIP Networking Conference (IFIP Networking) · doi:10.1109/icter.2011.6075006
“…Automated Writing Evaluation Systems, mobile applications for language learning, Intelligent Language Tutoring Systems, and generative conversational AI in light of the theoretical tenets of feedback in SLA (Nagata, 1993; Dodigovic, 2007; Xi, 2010; Li et al., 2015) to produce descriptive results.”
BackgroundAmplification of Language Learning Intelligence through Technology: An Overview
Mr. V.Mainar, E. A. (2021) · Turkish Journal of Computer and Mathematics Education · doi:10.17762/turcomat.v12i11.6083
김, 영. (2010) · 한국어 교육 · doi:10.18209/iakle.2010.21.3.23
Integrating artificial intelligence (AI) with ELT to foster EFL learners’ classroom activities
Gangavarapu, R. S., & Kilari, V. N. V. (2026) · AIP Conference Proceedings · doi:10.1063/5.0342152
An in-depth analysis: Benefits and challenges of AI language learning tools
Subash, S., Keerthana, R., Prakash, A., & Parthasarathy, S. (2025) · AIP conference proceedings · doi:10.1063/5.0275844
Akintunde, A. F., & Chukwuemeka, E. J. (2025) · Social Science Research Network · doi:10.2139/ssrn.5375099
GuudeVR: VR-gestutzte Lernszenarien zum Sprachtraining basierend auf generativer KI
Fuchs, A., Appel, S., & Grimm, P. (2024) · Fachtagung "e-Learning" der Gesellschaft für Informatik · doi:10.18420/delfi2024-ws-08
- Authors
- Dodigovic, M.
- Affiliations
- American University of Sharjah (AE)
- Corresponding author
- Dodigovic, Marina
- Venue
- Language Awareness
- Publisher
- Informa UK Limited
- Published
- 2007-05-15
- Volume
- 16
- Issue
- 2
- Pages
- 99-113
- ISSN
- 0965-8416 (ISSN-L)
- 1747-7565
- OpenAlex
- W1989005355
- Cited by
- 68
- References
- 44
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 17 · 2023: 12 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 3 · 2018: 2 · 2017: 1 · 2013: 1 · 2012: 1
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Language Awareness (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
- Keywords
- error correction, second language writing, intelligent tutoring systems, AI-assisted language learning, English as a second language, error diagnosis, grammaticality judgment, consciousness raising, communicative context, university students
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