Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: a multiple case study
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?
This study supports previous studies on improving writing engagement with AWCF.
“Our study supports previous studies on improving writing engagement with AWCF (Koltovskaia, 2020; Zhang, 2020).”
From Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial (2021) · cites this paper as Koltovskaia, 2020
Students often accept automated feedback with little cognitive engagement, highlighting the risk of thoughtless reliance on AI tools.
“Research has shown that students often accept automated feedback with little cognitive engagement, highlighting the risk of thoughtless reliance on AI tools (Koltovskaia, 2020).”
From Measuring undergraduate students’ reliance on generative AI during problem-solving: Scale development and validation. (2025) · cites this paper as Koltovskaia, 2020
Cites
(1984) · Cited by 81,983 · see citing works
Research Design: Qualitative, Quantitative, and Mixed Methods Approaches
Creswell, J. W. (1994) · Cited by 35,227 · see citing works
Research design: qualitative, quantitative, and mixed methods approaches
Caldas, M. (2003) · Revista de Administração Contemporânea · doi:10.1590/s1415-65552003000100015 · Cited by 18,670 · see citing works
School Engagement: Potential of the Concept, State of the Evidence
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004) · Review of Educational Research · doi:10.3102/00346543074001059 · Cited by 12,581 · see citing works
(2008) · Cited by 7,674 · see citing works
Case study research: Design and methods
McCorcle, M. D., & Bell, E. L. (1986) · Evaluation and Program Planning · doi:10.1016/0149-7189(86)90052-2 · Cited by 5,884 · see citing works
SWAIN, M., & LAPKIN, S. (1995) · Applied Linguistics · doi:10.1093/applin/16.3.371 · Cited by 1,407 · see citing works
Stimulated Recall Methodology in Second Language Research
Gass, S. M., Gass, S. M., Mackey, A., & Mackey, A. (2013) · Routledge eBooks · doi:10.4324/9781410606006 · Cited by 969 · see citing works
AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0
Attali, Y., & Burstein, J. C. (2004) · ETS Research Report Series · doi:10.1002/j.2333-8504.2004.tb01972.x · Cited by 630 · see citing works
Feedback in Second Language Writing: Contexts and Issues
Hyland, K., & Hyland, F. (2006) · Cited by 579 · see citing works
Student engagement with teacher and automated feedback on L2 writing
Zhang, Z. (., & Hyland, K. (2018) · Assessing Writing · doi:10.1016/j.asw.2018.02.004 · Cited by 546 · see citing works
Exploring learner engagement with written corrective feedback in a Chinese tertiary EFL classroom
Han, Y., & Hyland, F. (2015) · Journal of Second Language Writing · doi:10.1016/j.jslw.2015.08.002 · Cited by 484 · see citing works
Ellis, R. (2010) · Studies in Second Language Acquisition · doi:10.1017/s0272263109990544 · Cited by 445 · see citing works
(2006) · The Journal of Technology, Learning and Assessment (Boston College) · Cited by 424 · see citing works
Zheng, Y., & Yu, S. (2018) · Assessing Writing · doi:10.1016/j.asw.2018.03.001 · Cited by 377 · see citing works
Automated writing evaluation: Defining the classroom research agenda
Warschauer, M., & Ware, P. (2006) · Language Teaching Research · doi:10.1191/1362168806lr190oa · Cited by 337 · see citing works
Rethinking the role of automated writing evaluation (AWE) feedback in ESL writing instruction
Li, J., Link, S., & Hegelheimer, V. H. (2014) · Journal of Second Language Writing · doi:10.1016/j.jslw.2014.10.004 · Cited by 327 · see citing works
Stimulated Recall Methodology in Second Language Research
Taguchi, N., Gass, S. M., & Mackey, A. (2002) · TESOL Quarterly · doi:10.2307/3588371 · Cited by 307 · see citing works
Chen, C.-F. E., & Cheng, W.-Y. E. C. (2008) · Language Learning & Technology · doi:10.64152/10125/44145 · Cited by 304 · see citing works
The effects of computer-generated feedback on the quality of writing
Stevenson, M., & Phakiti, A. (2014) · Assessing Writing · doi:10.1016/j.asw.2013.11.007 · Cited by 275 · see citing works
Automated Writing Assessment in the Classroom
Warschauer, M., & Grimes, D. (2008) · Pedagogies: An International Journal · doi:10.1080/15544800701771580 · Cited by 243 · see citing works
Utility in a Fallible Tool: A Multi-Site Case Study of Automated Writing Evaluation.
Grimes, D., & Warschauer, M. (2010) · The Journal of Technology, Learning and Assessment (Boston College) · Cited by 241 · see citing works
Automated written corrective feedback: how well can students make use of it?
Ranalli, J. (2018) · Computer Assisted Language Learning · doi:10.1080/09588221.2018.1428994 · Cited by 228 · see citing works
Dikli, S., & Bleyle, S. (2014) · Assessing Writing · doi:10.1016/j.asw.2014.03.006 · Cited by 193 · see citing works
Wang, Y.-J., Shang, H.-F., & Briody, P. (2013) · Computer Assisted Language Learning · doi:10.1080/09588221.2012.655300 · Cited by 185 · see citing works
Stop! Grammar time: University students’ perceptions of the automated feedback program Grammarly
ONeill, R., & Russell, A. (2019) · Australasian Journal of Educational Technology · doi:10.14742/ajet.3795 · Cited by 180 · see citing works
Ranalli, J., Link, S., & Chukharev‐Hudilainen, E. (2016) · Educational Psychology · doi:10.1080/01443410.2015.1136407 · Cited by 180 · see citing works
In the face of fallible AWE feedback: how do students respond?
Bai, L., & Hu, G. (2016) · Educational Psychology · doi:10.1080/01443410.2016.1223275 · Cited by 171 · see citing works
Validity arguments for diagnostic assessment using automated writing evaluation
Chapelle, C. A., Cotos, E., & Lee, J. (2015) · Language Testing · doi:10.1177/0265532214565386 · Cited by 158 · see citing works
Automated scoring using a hybrid feature identification technique
Burstein, J. C., Kukich, K., Wolff, S., Lu, C., Chodorow, M. S., Braden-Harder, L. C., & Harris, M. D. (1998) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/980845.980879 · Cited by 157 · see citing works
(2004) · Cited by 128 · see citing works
Complementing human judgment of essays written by English language learners with e-rater ® scoring
Enright, M. K., & Quinlan, T. (2010) · Language Testing · doi:10.1177/0265532210363144 · Cited by 114 · see citing works
Student engagement with computer-generated feedback: a case study
Zhang, Z. (2016) · ELT Journal · doi:10.1093/elt/ccw089 · Cited by 114 · see citing works
Automated essay scoring for nonnative English speakers
Burstein, J. C., & Chodorow, M. S. (1999) · doi:10.3115/1598834.1598847 · Cited by 114 · see citing works
The impact of computer-based feedback on students' written work?
El Ebyary, K., & Windeatt, S. (2010) · International Journal of English Studies · doi:10.6018/ijes/2010/2/119231 · Cited by 94 · see citing works
Which do students prefer to evaluate their essays: peers or computer program
Lai, Y. (2010) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2009.00959.x · Cited by 92 · see citing works
Using automated writing evaluation to reduce grammar errors in writing
Liao, H.-C. (2015) · ELT Journal · doi:10.1093/elt/ccv058 · Cited by 81 · see citing works
Automated Feedback and Second Language Writing
Stevenson, M., & Phakiti, A. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108635547.009 · Cited by 63 · see citing works
Li, Z., Feng, H.-H., & Sarıcaoğlu, A. (2017) · CALICO Journal · doi:10.1558/cj.26382 · Cited by 53 · see citing works
Qassemzadeh, A., & Soleimani, H. (2016) · Theory and Practice in Language Studies · doi:10.17507/tpls.0609.23 · Cited by 52 · see citing works
Cotos, E. (2014) · Iowa State University Digital Repository (Iowa State University) · Cited by 50 · see citing works
COMPARING THE VALIDITY OF AUTOMATED AND HUMAN SCORING OF ESSAYS
Powers, D. E., Burstein, J. C., Chodorow, M. S., Fowles, M. E., & Kukich, K. (2002) · Journal of Educational Computing Research · doi:10.2190/cx92-7wkv-n7wc-jl0a · Cited by 49 · see citing works
EFL business writing behaviors in differing feedback environments
Warden, C. A. (2000) · Language Learning · doi:10.1111/0023-8333.00141 · Cited by 34 · see citing works
Flagged first, then by citations
1 of the 45 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
(2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.1.9 · Cited by 1,806 · see citing works
Impact of ChatGPT on learners in a L2 writing practicum: an exploratory investigation
Yan, D. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11742-4 · Cited by 713 · see citing works
Exploring the potential of using an AI language model for automated essay scoring
Mizumoto, A., & Eguchi, M. (2023) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2023.100050 · Cited by 647 · see citing works
AI-generated feedback on writing: insights into efficacy and ENL student preference
Escalante, J., Pack, A., & Barrett, A. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00425-2 · Cited by 589 · see citing works
Guo, K., & Wang, D. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12146-0 · Cited by 449 · see citing works
Warschauer, M., Tseng, W., Yim, S., Webster, T. J., Jacob, S. R., Du, Q., & Tate, T. P. (2023) · Journal of Second Language Writing · doi:10.1016/j.jslw.2023.101071 · Cited by 427 · see citing works
Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q., & Tate, T. (2023) · doi:10.2139/ssrn.4404380 · Cited by 425 · see citing works
Nazari, N., Shabbir, M. S., & Setiawan, R. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e07014 · Cited by 405 · see citing works
Impact of ChatGPT on ESL students’ academic writing skills: a mixed methods intervention study
Mahapatra, S. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00295-9 · Cited by 398 · see citing works
AI in the Foreign Language Classroom: A Pedagogical Overview of Automated Writing Assistance Tools
Alharbi, W. (2023) · Education Research International · doi:10.1155/2023/4253331 · Cited by 286 · see citing works
AI and English language teaching: Affordances and challenges
Crompton, H., Edmett, A., Ichaporia, N., & Burke, D. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13460 · Cited by 282 · see citing works
Barrot, J. S. (2023) · Computer Assisted Language Learning · doi:10.1080/09588221.2021.1936071 · Cited by 248 · see citing works
Co-Writing with Opinionated Language Models Affects Users’ Views
Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., & Naaman, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581196 · Cited by 265 · see citing works
Fostering student engagement with feedback: An integrated approach
Zhang, Z., & Hyland, K. (2021) · Assessing Writing · doi:10.1016/j.asw.2021.100586 · Cited by 313 · see citing works
A systematic review of AI-based automated written feedback research
Shi, H., & Aryadoust, V. (2024) · ReCALL · doi:10.1017/s0958344023000265 · Cited by 222 · see citing works
Affordances and challenges of artificial intelligence in K-12 education: a systematic review
Crompton, H., Jones, M. V., & Burke, D. (2024) · Journal of Research on Technology in Education · doi:10.1080/15391523.2022.2121344 · Cited by 213 · see citing works
Wang, C. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-024-09744-3 · Cited by 212 · see citing works
“One prominent application is automatic written evaluation (AWE), which comprises two main elements: a scoring engine producing automatic scores and a feedback engine delivering automated written corrective feedback (AWCF) (Koltovskaia, 2020).”
Koltovskaia, S., Rahmati, P., & Saeli, H. (2024) · Journal of Second Language Writing · doi:10.1016/j.jslw.2024.101130 · Cited by 226 · see citing works
Self-citationL2 student engagement with automated feedback on writing: Potential for learning and issues of trust
Ranalli, J. (2021) · Journal of Second Language Writing · doi:10.1016/j.jslw.2021.100816 · Cited by 184 · see citing works
Zhan, Y., & Yan, Z. (2026) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2025.2471821 · Cited by 162 · see citing works
Delcker, J., Heil, J., Ifenthaler, D., Seufert, S., & Spirgi, L. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00452-7 · Cited by 198 · see citing works
Pack, A., & Maloney, J. S. (2023) · TESOL Quarterly · doi:10.1002/tesq.3253 · Cited by 140 · see citing works
Ou, A. W., Stöhr, C., & Malmström, H. (2024) · System · doi:10.1016/j.system.2024.103225 · Cited by 196 · see citing works
Utami, S. P. T., Andayani, A., Winarni, R., & Sumarwati, S. (2023) · Contemporary Educational Technology · doi:10.30935/cedtech/13419 · Cited by 124 · see citing works
Ding, L., & Zou, D. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12402-3 · Cited by 122 · see citing works
Wilson, J., Ahrendt, C., Fudge, E. A., Raiche, A., Beard, G., & MacArthur, C. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104208 · Cited by 118 · see citing works
Guo, Q., Feng, R., & Hua, Y. (2021) · Computer Assisted Language Learning · doi:10.1080/09588221.2021.1879161 · Cited by 112 · see citing works
Sadoughi, M., & Hejazi, S. Y. (2022) · Current Psychology · doi:10.1007/s12144-022-03045-7 · Cited by 105 · see citing works
Testing the viability of ChatGPT as a companion in L2 writing accuracy assessment
Mizumoto, A., Shintani, N., Sasaki, M., & Teng, M. F. (2024) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2024.100116 · Cited by 104 · see citing works
Integrating technology into ESL/EFL writing through Grammarly
Barrot, J. S. (2022) · RELC Journal · doi:10.1177/0033688220966632 · Cited by 96 · see citing works
Using Artificial Intelligence in TESOL: Some Ethical and Pedagogical Considerations
Pack, A., & Maloney, J. S. (2024) · TESOL Quarterly · doi:10.1002/tesq.3320 · Cited by 122 · see citing works
Kohnke, L. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100279 · Cited by 126 · see citing works
Yan, D., & Zhang, S. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03543-y · Cited by 90 · see citing works
Yang, H., Gao, C., & Shen, H. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11991-3 · Cited by 90 · see citing works
Cheng, X., & Liu, Y. (2022) · System · doi:10.1016/j.system.2022.102880 · Cited by 99 · see citing works
Appropriating automated feedback in L2 writing: experiences of Chinese EFL student writers
Jiang, L. G., & Yu, S. (2020) · Computer Assisted Language Learning · doi:10.1080/09588221.2020.1799824 · Cited by 88 · see citing works
How Teacher and Grammarly Feedback Complement One Another in Myanmar EFL Students’ Writing
Thi, N. K., & Nikolov, M. (2022) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-021-00625-2 · Cited by 77 · see citing works
Sevgi, U. T., Erol, G., Doğruel, Y., Sönmez, O. F., Tubbs, R. S., & Güngör, A. (2023) · Neurosurgical Review · doi:10.1007/s10143-023-01998-2 · Cited by 80 · see citing works
Mantello, P. A., Ho, T. M., Nguyen, M., & Vuong, Q. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-01837-1 · Cited by 84 · see citing works
Exploring the Potential of Using an Ai Language Model for Automated Essay ScoringPreprint
Mizumoto, A., & Eguchi, M. (2023) · Social Science Research Network · doi:10.2139/ssrn.4373111 · Cited by 700 · see citing works
Using automated corrective feedback tools in language learning: a review study
Shadiev, R., & Feng, Y. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2022.2153145 · Cited by 71 · see citing works
Maphoto, K. B., Sevnarayan, K., Mohale, N. E., Suliman, Z., Ntsopi, T. J., & Mokoena, D. (2024) · Open Praxis · doi:10.55982/openpraxis.16.2.649 · Cited by 115 · see citing works
Ye, Y., Li, H., & Sawaengdist, A. (2024) · Language Learning in Higher Education · doi:10.1515/cercles-2023-0006 · Cited by 94 · see citing works
Zare, J., Ranjbaran, F., & Derakhshan, A. (2025) · Applied Linguistics · doi:10.1093/applin/amaf045 · Cited by 68 · see citing works
Hou, C., Zhu, G., Sudarshan, V., Lim, F. S., & Ong, Y. S. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105329 · Cited by 70 · see citing works
Artificial Intelligence-Based Tools in Research Writing
Adams, D., & Chuah, K.-M. (2022) · CRC Press eBooks · doi:10.1201/9781003184157-9 · Cited by 81 · see citing works
Leveraging AI tools to develop the writer rather than the writing
Ingley, S. J., & Pack, A. (2023) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2023.05.007 · Cited by 65 · see citing works
Yeung, S. (2025) · Journal of Second Language Writing · doi:10.1016/j.jslw.2025.101203 · Cited by 70 · see citing works
Cheng, X., & Zhang, L. J. (2024) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2024.101337 · Cited by 62 · see citing works
Yao, Y., Wang, W., & Yang, X. (2021) · Assessing Writing · doi:10.1016/j.asw.2021.100568 · Cited by 63 · see citing works
McCarthy, K. S., Roscoe, R. D., Allen, L. K., Likens, A. D., & McNamara, D. S. (2022) · Assessing Writing · doi:10.1016/j.asw.2022.100608 · Cited by 61 · see citing works
Cortez, P., Ong, A. K. S., Diaz, J. F. T., German, J. D., & Jagdeep, S. J. S. S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e25896 · Cited by 59 · see citing works
Understanding student engagement with teacher and peer feedback in L2 writing
Cheng, X., Liu, Y., & Wang, C. (2023) · System · doi:10.1016/j.system.2023.103176 · Cited by 78 · see citing works
Kohnke, L., Zou, D., & Su, F. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100371 · Cited by 96 · see citing works
Investigating students’ engagement in chatbot-supported classroom debates
Guo, K.-Y., Zhong, Y.-C., Li, D.-L., & Chu, S. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2207181 · Cited by 58 · see citing works
Li, J., Huang, J., Wu, W., & Whipple, P. B. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03755-2 · Cited by 83 · see citing works
AI Language Models as Educational Allies: Enhancing Instructional Support in Higher Education
Zekaj, R. (2023) · International Journal of Learning Teaching and Educational Research · doi:10.26803/ijlter.22.8.7 · Cited by 51 · see citing works
Potential Benefits and Risks of Artificial Intelligence in Education
Özer, M. (2024) · Bartın University Journal of Faculty of Education · doi:10.14686/buefad.1416087 · Cited by 62 · see citing works
Automated writing evaluation use in second language classrooms: A research synthesis
Karatay, Y., & Karatay, L. (2024) · System · doi:10.1016/j.system.2024.103332 · Cited by 49 · see citing works
Xu, S., Su, Y., & Liu, K. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13457-0 · Cited by 85 · see citing works
Vo, H. (2022) · Language Teaching Research · doi:10.1177/13621688221075781 · Cited by 56 · see citing works
Barrot, J. S. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12083-y · Cited by 47 · see citing works
Generative AI for scalable feedback to multimodal exercises
Jürgensmeier, L., & Skiera, B. (2024) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2024.05.005 · Cited by 52 · see citing works
Using Peerceptiv to support AI-based online writing assessment across the disciplines
Li, A. W. (2023) · Assessing Writing · doi:10.1016/j.asw.2023.100746 · Cited by 44 · see citing works
Fan, N. (2023) · SAGE Open · doi:10.1177/21582440231181296 · Cited by 44 · see citing works
Fokides, E., & Peristeraki, E. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12912-8 · Cited by 55 · see citing works
Shen, C., Shi, P., Guo, J., Xu, S., & Tian, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1258286 · Cited by 42 · see citing works
Koltovskaia, S. (2022) · ReCALL · doi:10.1017/s0958344022000179 · Cited by 42 · see citing works
Self-citationInvestigating the Effects of UsingGrammarlyin EFL Writing: The Case of Articles
Ebadi, S., Gholami, M., & Vakili, S. (2022) · Computers in the Schools · doi:10.1080/07380569.2022.2150067 · Cited by 52 · see citing works
Rahimi, M., Fathi, J., & Zou, D. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12896-5 · Cited by 89 · see citing works
Thi, N. K., Nikolov, M., & Simon, K. (2022) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2022.2122476 · Cited by 45 · see citing works
Voluntary use of automated writing evaluation by content course students
Sarıcaoğlu, A., & Bilki, Z. (2021) · ReCALL · doi:10.1017/s0958344021000021 · Cited by 50 · see citing works
Khabib, S. (2022) · Teaching English as a Foreign Language Journal · doi:10.12928/tefl.v1i2.249 · Cited by 39 · see citing works
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 71 · see citing works
Rong, M., Yao, Y., Li, Q., & Chen, X. (2025) · Computer Assisted Language Learning · doi:10.1080/09588221.2025.2539979 · Cited by 46 · see citing works
Using Grammarly to support students’ source-based writing practices
Dong, Y., & Shi, L. (2021) · Assessing Writing · doi:10.1016/j.asw.2021.100564 · Cited by 38 · see citing works
Exploring artificial intelligence using automated writing evaluation for writing skills
Abdul Rahman, N. A., Zulkornain, L. H., & Hamzah, N. H. (2022) · Environment-Behaviour Proceedings Journal · doi:10.21834/ebpj.v7isi9.4304 · Cited by 36 · see citing works
Long-Lasting Conceptual Change in Science Education
Li, X., Li, Y., & Wang, W. (2021) · Science & Education · doi:10.1007/s11191-021-00288-x · Cited by 45 · see citing works
Chen, H., & Pan, J. (2022) · Asian-Pacific Journal of Second and Foreign Language Education · doi:10.1186/s40862-022-00171-4 · Cited by 33 · see citing works
Long, L., & Kim, M. (2024) · Australasian Journal of Educational Technology · doi:10.14742/ajet.8821 · Cited by 33 · see citing works
Xue, Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12596-0 · Cited by 33 · see citing works
Exploring the dynamics of student engagement with receiving peer feedback in L2 writing
Zhang, Y., & Gao, Y. (2024) · Assessing Writing · doi:10.1016/j.asw.2024.100842 · Cited by 39 · see citing works
Toward a Motivation-Regulated Learner Engagement WCF Model of L2 Writing Performance
Tsao, J.-J., Tseng, W., Hsiao, T., Wang, C., & Gao, X. A. (2021) · SAGE Open · doi:10.1177/21582440211023172 · Cited by 35 · see citing works
Pearson, W. S. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1285954 · Cited by 47 · see citing works
Yeo, S., Lim, G., Gao, J., Zhang, W., & Perrault, S. T. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642530 · Cited by 35 · see citing works
INTEGRATING INSTAGRAM INTO EFL WRITING TO FOSTER STUDENT ENGAGEMENT
Prasetyawati, O. A., & Ardi, P. (2020) · Universitas Sanata Dharma Repository (Universitas Sanata Dharma) · Cited by 30 · see citing works
Exploring Learner Engagement With Multiple Sources of Feedback on L2 Writing Across Genres
Shi, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.758867 · Cited by 30 · see citing works
Lyu, B., & Lai, C. (2022) · Computer Assisted Language Learning · doi:10.1080/09588221.2022.2030364 · Cited by 29 · see citing works
Zhu, X.-H., Yao, Y., Pang, W.-R., & Zhu, S.-Y. (2022) · Journal of Psycholinguistic Research · doi:10.1007/s10936-022-09923-2 · Cited by 29 · see citing works
Feedback seeking abilities of L2 writers using ChatGPT: a mixed method multiple case study
Yan, D. “. (2024) · Kybernetes · doi:10.1108/k-09-2023-1933 · Cited by 33 · see citing works
Potentials and implications of ChatGPT for ESL writing instruction
Ibrahim, K., & Kirkpatrick, R. (2024) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v25i3.7820 · Cited by 28 · see citing works
L2 Learner Cognitive Psychological Factors About Artificial Intelligence Writing Corrective Feedback
Wu, L., Wu, Y., & Zhang, X. (2021) · English Language Teaching · doi:10.5539/elt.v14n10p70 · Cited by 30 · see citing works
Early prediction of writing quality using keystroke logging
Conijn, R., Cook, C. L., van Zaanen, M. M., & Waes, L. V. (2021) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-021-00268-w · Cited by 26 · see citing works
Wang, C., Wang, B., & Xu, D. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102131 · Cited by 31 · see citing works
Has artificial intelligence rendered language teaching obsolete?
Handley, Z. L. (2024) · Modern Language Journal · doi:10.1111/modl.12929 · Cited by 24 · see citing works
Cheng, X., & Zhang, L. J. (2024) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-024-00877-8 · Cited by 31 · see citing works
Yu, S., Yuan, K., & Wu, P. (2022) · Journal of Second Language Writing · doi:10.1016/j.jslw.2022.100961 · Cited by 24 · see citing works
Guo, X. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2024.2445177 · Cited by 23 · see citing works
ChatGPT-generated versus human direct corrective feedback on L2 writing
Muñoz Muñoz, B. C., Nassaji, H., & Bello Carrillo, F. I. (2025) · System · doi:10.1016/j.system.2025.103805 · Cited by 22 · see citing works
Shadiev, R., Feng, Y., Zhussupova, R. F., & Altınay, F. (2024) · Computer Assisted Language Learning · doi:10.1080/09588221.2024.2430761 · Cited by 22 · see citing works
- Authors
- Koltovskaia, S.
- Affiliations
- Oklahoma State University (US)
- Corresponding author
- Koltovskaia, Svetlana
- Venue
- Assessing Writing
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 44
- Pages
- 100450
- ISSN
- 1075-2935 (ISSN-L)
- OpenAlex
- W3011057862
- Cited by
- 447
- References
- 45
- Citations by year
- 2026: 133 · 2025: 105 · 2024: 96 · 2023: 61 · 2022: 31 · 2021: 18 · 2020: 3
- FWCI
- 121.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Assessing Writing (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Education › Student Assessment and Feedback
- Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
- Keywords
- Grammarly, student engagement, automated writing evaluation, second language writing, cognitive engagement, emotional engagement, behavioral engagement, feedback acceptance, technology dependence, draft revision
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
