Impact of Auto-Correction Features in Text-Processing Software on the Academic Writing of ESL Learners

Rashmika Lekamge; Clayton Smith

doi:10.4312/elope.22.1.69-91

Authors

Rashmika Lekamge Sabaragamuwa University of Sri Lanka
Clayton Smith University of Windsor

DOI:

https://doi.org/10.4312/elope.22.1.69-91

Keywords:

automated writing correction, ESL development, technology dependence, writing proficiency decline, text-processing software

Abstract

The intrusion of technology into language education is undeniable. However, its impact on English as a Second Language (ESL) learners remains unexplored. This study explores how the text-processing and suggestion features of Microsoft Word affect the English language development of ESL learners. The writing samples show that while beginners make fewer spelling and punctuation errors, prolonged reliance on software weakens long-term language proficiency. This finding is supported by cluster analysis of first-year undergraduates, thirdyear undergraduates, and postgraduates. Conversely, first-year undergraduates learners excel in structuring paragraphs and writing a variety of sentences, which are the areas untouched by automation offered in the tested software. Semi-structured interviews with research-active academics and postgraduate students further validated these findings, highlighting a critical decline in writing confidence due to over-dependence on emerging technology. The study underscores the hidden costs of convenience, urging a recalibration of technology-integrated language pedagogy.

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References

A. Al-Mutairi, Mohammad. 2019. “Kachru’s three concentric circles model of English language: An overview of criticism & the place of Kuwait in it.” English Language Teaching 13 (1): 85. https://doi.org/10.5539/elt.v13n1p85.

Ahmed, Sirwan Khalid. 2024. “The pillars of trustworthiness in qualitative research.” Journal of Medicine, Surgery, and Public Health 2: 100051. https://doi.org/10.1016/j.glmedi.2024.100051.

Ajaj, Israa Eibead. 2022. “Investigating the difficulties of learning English grammar and suggested methods to overcome them.” Journal of Tikrit University for Humanities 29 (6): 45–58. https://doi.org/10.25130/jtuh.29.6.2022.24.

Alharbi, Sultan H. 2021. “The struggling English language learners: Case studies of English language learning difficulties in EFL context.” English Language Teaching 14 (11): 108. https://doi.org/10.5539/elt.v14n11p108.

Alharbi, Wael. 2023. “AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools.” Education Research International 2023: 1–15. https://doi.org/10.1155/2023/4253331.

Ali, Hewa Fouad, Lisa Jamal Nakshbandi, Fatima Saadi, and Sami Hussein Hakeem Barzani. 2022. “The effect of spell-checker features on spelling competence among EFL Learners: An empirical study.” International Journal of Social Sciences & Educational Studies 9 (3): 101–11. https://doi.org/10.23918/ijsses.v9i3p101.

Amnuai, Wirada. 2020. “An error analysis of research project abstracts written by Thai undergraduate students.” Advances in Language and Literary Studies 11 (4): 13.

Baker, Linda. 1994. “Fostering metacognitive development.” Advances in Child Development and Behavior 25: 201–39. https://doi.org/10.1016/S0065-2407(08)60053-1.

Balla, Ervin. 2023. “Impact of technology in acquisition of English language.” Journal of Educational and Social Research 13 (1): 134–45. https://doi.org/10.36941/jesr-2023-0012.

Baron, Dennis E. 2023. A Better Pencil: Readers, Writers, and the Digital Revolution. 1st ed. Oxford University Press.

Barrot, Jessie S. 2023. “Using automated written corrective feedback in the writing classrooms: Effects on L2 writing accuracy.” Computer Assisted Language Learning 36 (4): 584–607. https://doi.org/10.1080/09588221.2021.1936071.

Baxter, L.A. 1991. Content Analysis. The Guilford Press.

Bećirović, Senad, Amna Brdarević-Čeljo, and Haris Delić. 2021. “The use of digital technology in foreign language learning.” SN Social Sciences 1 (10): 246. https://doi.org/10.1007/s43545-021-00254-y.

Benali, Ameni. 2021. “The impact of using automated writing feedback in ESL/EFL classroom contexts.” English Language Teaching 14 (12): 189–95. https://doi.org/10.5539/elt.v14n12p189.

Bickmore, Timothy W., and Rosalind W. Picard. 2005. “Establishing and maintaining long-term humancomputer relationships.” ACM Transactions on Computer-Human Interaction 12 (2): 293–327. https://doi.org/10.1145/1067860.1067867.

Booton, Sophie A., Alex Hodgkiss, and Victoria A. Murphy. 2023. “The impact of mobile application features on children’s language and literacy learning: A systematic review.” Computer Assisted Language Learning 36 (3): 400–429. https://doi.org/10.1080/09588221.2021.1930057.

Bozavli, Ebubekir. 2023. “The relationship between the use of technology and technology addiction in learning foreign language.” Arab World English Journal 14 (3): 418–30. https://doi.org/10.24093/awej/vol14no3.27.

Braun, Virginia, and Victoria Clarke. 2006. “Using thematic analysis in psychology.” Qualitative Research in Psychology 3 (2): 77–101. https://doi.org/10.1191/1478088706qp063oa.

Brenner, Maria, Denise Alexander, Mary Brigid Quirke, Jessica Eustace-Cook, Piet Leroy, Jay Berry, Martina Healy, Carmel Doyle, and Kate Masterson. 2021. “A systematic concept analysis of ‘technology dependent’: Challenging the terminology.” European Journal of Pediatrics 180 (1): 1–12. https://doi.org/10.1007/s00431-020-03737-x.

Catelly, Yolanda-Mirela. 2014. “Optimizing language assessment – Focus on test specification and piloting.” Procedia – Social and Behavioral Sciences 128 (April): 393–98. https://doi.org/10.1016/j.sbspro.2014.03.177.

Cook, Helen V., and Lars Juhl Jensen. 2019. “A guide to dictionary-based text mining.” In Bioinformatics and Drug Discovery, 3rd ed., edited by Richard S. Larson and Tudor I. Oprea, 73–89. Springer. https://doi.org/10.1007/978-1-4939-9089-4_5.

Cummings, Lance. 2023. “Writing processes in the digital age: A networked interpretation.” In Digital Writing Technologies in Higher Education, edited by Otto Kruse, Christian Rapp, Chris M. Anson, Kalliopi Benetos, Elena Cotos, Ann Devitt, and Antonette Shibani, 485–97. Springer International Publishing. https://doi.org/10.1007/978-3-031-36033-6_30.

De Silva, W. Indralal, Pamoda Kodikara, and Ruwani Somarathne. 2014. “Sri Lankan youth and their exposure to computer literacy.” Sri Lanka Journal of Advanced Social Studies 3 (1): 27–52. https://doi.org/10.4038/sljass.v3i1.7127.

DeJonckheere, Melissa, and Lisa M. Vaughn. 2019. “Semistructured interviewing in primary care research: A balance of relationship and rigour.” Family Medicine and Community Health 7 (2): e000057. https://doi.org/10.1136/fmch-2018-000057.

Dickinson, David K., Julie A. Griffith, Roberta Michnick Golinkoff, and Kathy Hirsh-Pasek. 2012. “How reading books fosters language development around the world.” Child Development Research 2012: 602807. https://doi.org/10.1155/2012/602807.

Dwivedi, Yogesh K., Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, et al. 2023. “Opinion paper: ‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy.” International Journal of Information Management 71:102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.

Ellis, Rod, Younghee Sheen, Mihoko Murakami, and Hide Takashima. 2008. “The effects of focused and unfocused written corrective feedback in an English as a foreign language context.” System 36 (3): 353–71. https://doi.org/10.1016/j.system.2008.02.001.

Fan, Ning, and Yingying Ma. 2022. “The effects of automated writing evaluation (AWE) feedback on students’ English writing quality: A systematic literature review.” Language Teaching Research Quarterly 28: 53–73. https://doi.org/10.32038/ltrq.2022.28.03.

Ferris, Dana, and Barrie Roberts. 2001. “Error feedback in L2 writing classes.” Journal of Second Language Writing 10 (3): 161–84. https://doi.org/10.1016/S1060-3743(01)00039-X.

Fitria, Tira Nur. 2021. “Grammarly as AI-powered English writing assistant: Students’ alternative for writing English.” Metathesis: Journal of English Language, Literature, and Teaching 5 (1): 65–78.

Gamage, Premila, and Edward F. Halpin. 2007. “E‐Sri Lanka: Bridging the digital divide.” The Electronic Library 25 (6): 693–710. https://doi.org/10.1108/02640470710837128.

Gayed, John Maurice, May Kristine Jonson Carlon, Angelu Mari Oriola, and Jeffrey S. Cross. 2022. “Exploring an AI-based writing assistant’s impact on English language learners.” Computers and Education: Artificial Intelligence 3:100055. https://doi.org/10.1016/j.caeai.2022.100055.

Genlott, Annika Agélii, and Åke Grönlund. 2013. “Improving literacy skills through learning reading by writing: The iWTR method presented and tested.” Computers & Education 67 (September): 98–104. https://doi.org/10.1016/j.compedu.2013.03.007.

Goonawardena, Mithma, Ashini Kulatunga, Raveena Wickramasinghe, Thisuraka Weerasekara, Hansi De Silva, and Samantha Thelijjagoda. 2022. “Automated spelling checker and grammatical error detection and correction model for Sinhala language.” In 2022 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, 184–89. IEEE. https://doi.org/10.1109/SCSE56529.2022.9905126.

Grimes, Douglas, and Mark Warschauer. 2010. “Utility in a fallible tool: A multi-site case study of automated writing evaluation.” The Journal of Technology, Learning and Assessment 8 (6): 4–42. https://ejournals.bc.edu/index.php/jtla/article/view/1625.

Gröndahl, Tommi, and N. Asokan. 2020. “Text analysis in adversarial settings: Does deception leave a stylistic trace?” ACM Computing Surveys 52 (3): 1–36. https://doi.org/10.1145/3310331.

Hair, Joseph F., Pratyush N. Sharma, Marko Sarstedt, Christian M. Ringle, and Benjamin D. Liengaard. 2024. “The shortcomings of equal weights estimation and the composite equivalence index in PLSSEM.” European Journal of Marketing 58 (13): 30–55. https://doi.org/10.1108/EJM-04-2023-0307.

Hiscox, Lucy, Erika Leonavičiūtė, and Trevor Humby. 2014. “The effects of automatic spelling correction software on understanding and comprehension in compensated dyslexia: Improved recall following dictation.” Dyslexia 20 (3): 208–24. https://doi.org/10.1002/dys.1480.

Hládek, Daniel, Ján Staš, and Matúš Pleva. 2020. “Survey of automatic spelling correction.” Electronics 9 (10): 1670. https://doi.org/10.3390/electronics9101670.

Hu, Betsy Xiaoqiong, and Xianxing Jiang. 2011. “Kachru’s three concentric circles and English teaching fallacies in EFL and ESL contexts.” Changing English 18 (2): 219–28. https://doi.org/10.1080/1358684X.2011.575254.

Huseinović, Lamija. 2022. “The relationship between digital competency, learning styles and learners’ perception of traditional versus technology-assisted language learning.” MAP Education and Humanities 3 (1): 17–30. https://doi.org/10.53880/2744-2373.2022.2.3.17.

Jajić Novogradec, Marina. 2021. “Positive and negative lexical transfer in English vocabulary acquisition.” ELOPE: English Language Overseas Perspectives and Enquiries 18 (2): 139–65. https://doi.org/10.4312/elope.18.2.139-165.

Ji, Chunyi, and Qi’ang Liu. 2018. “A study on the effectiveness of English grammar teaching and learning in Chinese junior middle schools.” Theory and Practice in Language Studies 8 (11): 1553–58. https://doi.org/10.17507/tpls.0811.24.

Jia, Jingdong, Xiaoying Yang, Rong Zhang, and Xi Liu. 2019. “Understanding software developers’ cognition in agile requirements engineering.” Science of Computer Programming 178: 1–19. https://doi.org/10.1016/j.scico.2019.03.005.

Jonsson, Carla, and Mona Blåsjö. 2020. “Translanguaging and multimodality in workplace texts and writing.” International Journal of Multilingualism 17 (3): 361–81. https://doi.org/10.1080/14790718.2020.1766051.

Kakarash, Zana Azeez. 2023. “Why is data validation important in research?” ResearchGate. https://doi.org/10.13140/RG.2.2.34496.81920.

Kellogg, Ronald T. 2008. “Training writing skills: A cognitive developmental perspective.” Journal of Writing Research 1 (1): 1–26. https://doi.org/10.17239/jowr-2008.01.01.1.

Khan, Aashiq, Irum Zeb, Yan Zhang, and Tahir. 2023. “Impact of emerging technologies on cognitive development: The mediating role of digital social support among higher education students.” IJERI: International Journal of Educational Research and Innovation 20: 1–15. https://doi.org/10.46661/ijeri.8362.

Khansir, Ali Akbar. 2012. “Error analysis and second language acquisition.” Theory and Practice in Language Studies 2 (5): 1027–32. https://doi.org/10.4304/tpls.2.5.1027-1032.

Kiger, Michelle E., and Lara Varpio. 2020. “Thematic analysis of qualitative data: AMEE guide no. 131.” Medical Teacher 42 (8): 846–54. https://doi.org/10.1080/0142159X.2020.1755030.

Kim, Hye-Kyung. 2012. “The effectiveness of correcting grammatical errors in writing classes: An EFL teacher’s perspective.” International Journal of Literacy, Culture, and Language Education 1: 227–37. https://doi.org/10.14434/ijlcle.v1i0.26836.

Kontogiannis, Tom. 1999. “User strategies in recovering from errors in man–machine systems.” Safety Science 32 (1): 49–68. https://doi.org/10.1016/S0925-7535(99)00010-7.

Kruse, Otto, and Christian Rapp. 2023. “Word processing software: The rise of MS Word.” In Digital Writing Technologies in Higher Education, edited by Otto Kruse, Christian Rapp, Chris M. Anson, Kalliopi Benetos, Elena Cotos, Ann Devitt, and Antonette Shibani, 15–32. Springer International Publishing. https://doi.org/10.1007/978-3-031-36033-6_2.

Kukich, Karen. 1992. “Techniques for automatically correcting words in text.” ACM Computing Surveys 24 (4): 377–439. https://doi.org/10.1145/146370.146380.

Larsson, Anthony, and Robin Teigland, eds. 2020. The Digital Transformation of Labor: Automation, the Gig Economy and Welfare. Routledge.

Lekamge, Rashmika, Chitra Jayathilake, and Clayton Smith. 2024. “Language-related barriers and insights to overcome the challenges of English medium instructed learning environment for undergraduates.” International Journal of Current Education Studies 3 (1): 28–53. https://doi.org/10.5281/zenodo.12193460.

Lekamge, Rashmika, and Jenan Rajavarathan. 2024. “Enhancing academic writing proficiency among English as a second language users at the undergraduate level: A comparative analysis of studentlecturer perspectives and strategies.” Journal of Research and Education 10 (1): 37–76.

Leung, Lawrence. 2015. “Validity, reliability, and generalizability in qualitative research.” Journal of Family Medicine and Primary Care 4 (3): 324. https://doi.org/10.4103/2249-4863.161306.

Lin, Po-Han, Tzu-Chien Liu, and Fred Paas. 2017. “Effects of spell checkers on English as a second language students’ incidental spelling learning: A cognitive load perspective.” Reading and Writing 30 (7): 1501–25. https://doi.org/10.1007/s11145-017-9734-4.

Magaldi, Danielle, and Matthew Berler. 2020. “Semi-structured interviews.” In Encyclopedia of Personality and Individual Differences, edited by Virgil Zeigler-Hill and Todd K. Shackelford, 4825–30. Springer International Publishing. https://doi.org/10.1007/978-3-319-24612-3_857.

Mahapatra, Santosh. 2024. “Impact of ChatGPT on ESL students’ academic writing skills: A mixed methods intervention study.” Smart Learning Environments 11 (1): 9. https://doi.org/10.1186/s40561-024-00295-9.

Maier, Christian, Jason Bennett Thatcher, Varun Grover, and Yogesh K. Dwivedi. 2023. “Cross-sectional research: A critical perspective, use cases, and recommendations for IS research.” International Journal of Information Management 70:102625. https://doi.org/10.1016/j.ijinfomgt.2023.102625.

Merzi̇fonluoğlu, Ayşe, and Ayşegül Takkaç Tulgar. 2023. “The effect of technology-supported language learning on communication competencies.” Erzincan Üniversitesi Eğitim Fakültesi Dergisi 25 (3): 524–37. https://doi.org/10.17556/erziefd.1334195.

Morse, Janice M., Michael Barrett, Maria Mayan, Karin Olson, and Jude Spiers. 2002. “Verification strategies for establishing reliability and validity in qualitative research.” International Journal of Qualitative Methods 1 (2): 13–22. https://doi.org/10.1177/160940690200100202.

Naderifar, Mahin, Hamideh Goli, and Fereshteh Ghaljaie. 2017. “Snowball sampling: A purposeful method of sampling in qualitative research.” Strides in Development of Medical Education 14 (3). https://doi.org/10.5812/sdme.67670.

Naeem, Muhammad, Wilson Ozuem, Kerry Howell, and Silvia Ranfagni. 2023. “A step-by-step process of thematic analysis to develop a conceptual model in qualitative research.” International Journal of Qualitative Methods 22: 16094069231205789. https://doi.org/10.1177/16094069231205789.

Nejja, Mohammed, and Abdellah Yousfi. 2015. “The context in automatic spell correction.” Procedia Computer Science 73: 109–14. https://doi.org/10.1016/j.procs.2015.12.055.

Neto, Arthur Flor De Sousa, Byron Leite Dantas Bezerra, and Alejandro Héctor Toselli. 2020. “Towards the natural language processing as spelling correction for offline handwritten text recognition systems.” Applied Sciences 10 (21): 7711. https://doi.org/10.3390/app10217711.

Omer Ismael, Kozhin, Kochar Ali Saeed, Airin Shwan Ibrahim, and Diya Shawkat Fatah. 2022. “Effects of auto-correction on students’ writing skill at three different universities in Sulaimaneyah City.” Arab World English Journal 8: 231–45. https://doi.org/10.24093/awej/call8.16.

Pinet, Svetlana, and Nazbanou Nozari. 2022. “Correction without consciousness in complex tasks: Evidence from typing.” Journal of Cognition 5 (1): 11. https://doi.org/10.5334/joc.202.

Prasangani, Kariyawasam Sittarage. 2018. “English language education in Sri Lanka Link with the learners’ motivational factors.” HLT Magazine, August.

Putze, Felix, Maik Schünemann, Tanja Schultz, and Wolfgang Stuerzlinger. 2017. “Automatic classification of auto-correction errors in predictive text entry based on EEG and context information.” In Proceedings of the 19th ACM International Conference on Multimodal Interaction, 137–45. Association for Computing Machinery. https://doi.org/10.1145/3136755.3136784.

Rahimi, Mehrak, Gholamreza Gholizadeh, and Ali Shahryari. 2019. “Iranian EFL learners’ perceptions about automatic spelling correction software use for learning English spellings: A study with focus on gender.” International Journal of English Language and Translation Studies 7 (1): 68–75.

Ranalli, Jim, and Taichi Yamashita. 2022. “Automated written corrective feedback: Error correction performance and timing of delivery.” Language Learning & Technology 26 (1): 1–25. http://hdl.handle.net/10125/73465.

Reed, M. S., M. Ferré, J. Martin-Ortega, R. Blanche, R. Lawford-Rolfe, M. Dallimer, and J. Holden. 2021. “Evaluating impact from research: A methodological framework.” Research Policy 50 (4): 104147. https://doi.org/10.1016/j.respol.2020.104147.

Ren, Simin, and Paul Seedhouse. 2024. “Doing language testing: Learner-initiated side sequences in a technology-mediated language learning environment.” Classroom Discourse 15 (4): 317–52. https://doi.org/10.1080/19463014.2024.2305446.

Rosairo, H. S. R. 2023. “Thematic analysis in qualitative research.” Journal of Agricultural Sciences – Sri Lanka 18 (3). https://doi.org/10.4038/jas.v18i3.10526.

Rüdian, Leo Sylvio, Moritz Dittmeyer, and Niels Pinkwart. 2022. “Challenges of using auto-correction tools for language learning.” In LAK22: 12th International Learning Analytics and Knowledge Conference, 426–31. Association for Computing Machinery. https://doi.org/10.1145/3506860.3506867.

Salehi, Mohammad, and Ava Bahrami. 2018. “An error analysis of journal papers written by Persian authors.” Cogent Arts & Humanities 5 (1): 1537948. https://doi.org/10.1080/23311983.2018.1537948.

Salton, G., and M. E. Lesk. 1968. “Computer evaluation of indexing and text processing.” Journal of the ACM 15 (1): 8–36. https://doi.org/10.1145/321439.321441.

Sanchez, Avigail T., Kairille France R. Arcila, Jerime L. Baldomero, Kianna Mhae P. Cahanding, Rachelle Anne A. De Leon, and Catherine A. Samson. 2023. “Roles of auto-correction tools on HUMSS students’ writing skills.” Proceedings of International Interdisciplinary Conference on Sustainable Developments Goals (IICSDGs) 6 (1): 99–113.

Sanosi, Abdulaziz B. 2022. “The impact of automated written corrective feedback on EFL learners’ academic writing accuracy.” Journal of Teaching English for Specific and Academic Purposes 10 (2): 301–17. https://doi.org/10.22190/JTESAP2202301S.

Sari, Elif, and Turgay Han. 2024. “The impact of automated writing evaluation on English as a foreign language learners’ writing self‐efficacy, self‐regulation, anxiety, and performance.” Journal of Computer Assisted Learning 40 (5): 2065–80. https://doi.org/10.1111/jcal.13004.

Saud, Jefriyanto, Lela Susanty, Petrus Jacob Pattiasina, Satriani, and Wajnah. 2023. “Exploring the influence of the environment on students’ second language acquisition: A comprehensive psycholinguistic study.” RETORIKA: Jurnal Ilmu Bahasa 9 (2): 174–84. https://doi.org/10.55637/jr.9.2.7724.174-184.

Schaefer, Kristin E., Jessie Y. C. Chen, James L. Szalma, and P. A. Hancock. 2016. “A meta-analysis of factors influencing the development of trust in automation: Implications for understanding autonomy in future systems.” Human Factors: The Journal of the Human Factors and Ergonomics Society 58 (3): 377–400. https://doi.org/10.1177/0018720816634228.

Shadiev, Rustam, and Xun Wang. 2022. “A review of research on technology-supported language learning and 21st century skills.” Frontiers in Psychology 13: 897689. https://doi.org/10.3389/fpsyg.2022.897689.

Sherafati, Narjis, Farzad Mahmoudi Largani, and Shahrzad Amini. 2020. “Exploring the effect of computer-mediated teacher feedback on the writing achievement of Iranian EFL learners: Does motivation count?” Education and Information Technologies 25 (5): 4591–4613. https://doi.org/10.1007/s10639-020-10177-5.

Singh, Jitendra, and Tracy Eisenschenk. 2021. “A thematic analysis of the attitudes and perceptions of faculty towards inclusion of interprofessional education in healthcare curriculum.” International Journal of Health Sciences Education 8 (1). https://doi.org/10.59942/2325-9981.1117.

Singh, Shashank, and Shailendra Singh. 2018. “Review of real-word error detection and correction methods in text documents.” In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 1076–81. IEEE. https://doi.org/10.1109/ICECA.2018.8474700.

Stamatatos, Efstathios, Nikos Fakotakis, and George Kokkinakis. 2000. “Automatic text categorization in terms of genre and author.” Computational Linguistics 26 (4): 471–95. https://doi.org/10.1162/089120100750105920.

Steyn, Jacques, and Graeme Johanson. 2011. ICTs and Sustainable Solutions for the Digital Divide: Theory and Perspectives. Information Science Reference.

Tica, Lena, and Ivana Krsmanović. 2024. “Overcoming the writer’s block? Exploring students’ motivation and perspectives on using ChatGPT as a writing assistance tool in ESP.” ELOPE: English Language Overseas Perspectives and Enquiries 21 (1): 129–49. https://doi.org/10.4312/elope.21.1.129-149.

Toppelberg, Claudio O., and Brian A. Collins. 2010. “Language, culture, and adaptation in immigrant children.” Child and Adolescent Psychiatric Clinics of North America 19 (4): 697–717. https://doi.org/10.1016/j.chc.2010.07.003.

Truscott, John. 1999. “The case for ‘the case against grammar correction in L2 writing classes’: A response to Ferris.” Journal of Second Language Writing 8 (2): 111–22. https://doi.org/10.1016/S1060-3743(99)80124-6.

Van der Loo, Mark P. J., and Edwin de Jonge. 2020. “Data validation.” In Wiley StatsRef Statistics Reference Online. https://doi.org/10.1002/9781118445112.stat08255.

Van Der Steen, Steffie, Dianne Samuelson, and Jennifer M. Thomson. 2017. “The effect of keyboard-based word processing on students with different working memory capacity during the process of academic writing.” Written Communication 34 (3): 280–305. https://doi.org/10.1177/0741088317714232.

Van Waes, Luuk, Mariëlle Leijten, Jens Roeser, Thierry Olive, and Joachim Grabowski. 2021. “Measuring and assessing typing skills in writing research.” Journal of Writing Research 13 (1): 107–53. https://doi.org/10.17239/jowr-2021.13.01.04.

Vičič, Polona. 2020. “A fully integrated approach to blended language learning.” ELOPE: English Language Overseas Perspectives and Enquiries 17 (2): 219–38. https://doi.org/10.4312/elope.17.2.219-238.

Vivek, Ramakrishnan, Yogarajah Nanthagopan, and Sarmatha Piriyatharshan. 2023. “Beyond methods: Theoretical underpinnings of triangulation in qualitative and multi-method studies.” SEEU Review 18 (2): 105–22. https://doi.org/10.2478/seeur-2023-0088.

Vodopija-Krstanović, Irena, and Maja Brala Vukanović. 2015. “Students of today changing English language studies of yesterday.” ELOPE: English Language Overseas Perspectives and Enquiries 12 (2): 175–89. https://doi.org/10.4312/elope.12.2.175-189.

Wei, Ping, Xiaosai Wang, and Hui Dong. 2023. “The impact of automated writing evaluation on second language writing skills of Chinese EFL learners: A randomized controlled trial.” Frontiers in Psychology 14: 1249991. https://doi.org/10.3389/fpsyg.2023.1249991.

Weigle, Sara Cushing. 2013. “English language learners and automated scoring of essays: Critical considerations.” Assessing Writing 18 (1): 85–99. https://doi.org/10.1016/j.asw.2012.10.006.

Wood, Nicola. 2014. “Autocorrect awareness: Categorizing autocorrect changes and measuring authorial perceptions.” MA Thesis, Florida State University.

Wu, Yanni, Michelle Howarth, Chunlan Zhou, Mingyu Hu, and Weilian Cong. 2019. “Reporting of ethical approval and informed consent in clinical research published in leading nursing journals: A retrospective observational study.” BMC Medical Ethics 20 (1): 94. https://doi.org/10.1186/s12910-019-0431-5.