Exploring students’ generative AI-assisted writing processes: Perceptions and experiences from native and nonnative English speakers
Open accessAbstract
Abstract Generative artificial intelligence (AI) can create sophisticated textual and multimodal content readily available to students. Writing intensive courses and disciplines that use writing as a major form of assessment are significantly impacted by advancements in generative AI, as the technology has the potential to revolutionize how students write and how they perceive writing as a fundamental literacy skill. However, educators are still at the beginning stage of understanding students’ integration of generative AI in their actual writing process. This study addresses the urgent need to uncover how students engage with ChatGPT throughout different components of their writing processes and their perceptions of the opportunities and challenges of generative AI. Adopting a phenomenological research design, the study explored the writing practices of six students, including both native and nonnative English speakers, in a first-year writing class at a higher education institution in the US. Thematic analysis of students’ written products, self-reflections, and interviews suggests that students utilized ChatGPT for brainstorming and organizing ideas as well as assisting with both global (e.g., argument, structure, coherence) and local issues of writing (e.g., syntax, diction, grammar), while they also had various ethical and practical concerns about the use of ChatGPT. The study brought to front two dilemmas encountered by students in their generative AI-assisted writing: (1) the challenging balance between incorporating AI to enhance writing and maintaining their authentic voice, and (2) the dilemma of weighing the potential loss of learning experiences against the emergence of new learning opportunities accompanying AI integration. These dilemmas highlight the need to rethink learning in an increasingly AI-mediated educational context, emphasizing the importance of fostering students’ critical AI literacy to promote their authorial voice and learning in AI-human collaboration.
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Emerging frameworks emphasize process-oriented assessment that documents iterative revision, reflective decision-making, and AI integration strategies rather than solely evaluating final products.
“Emerging frameworks emphasize process-oriented assessment that documents iterative revision, reflective decision-making, and AI integration strategies rather than solely evaluating final products (Engeness and Gamlem, 2025; Tseng and Lin, 2024; Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
The Conclusion (section 7; page unavailable) calls for writing assessment to consider the learning journey and decisions made during AI-assisted writing, not just final products. The Discussion (section 6; page unavailable) also emphasizes self-reflection and students’ strategies for using AI. The paper does not specifically propose documenting iterative revision as an assessment practice. (LLM, conf=0.85)
Experimental — accuracy not yet measuredStudents, particularly those facing language barriers or socioeconomic pressures, conceptualize AI as an equalizing tool that democratizes access to high-quality writing support.
“Students, particularly those facing language barriers or socioeconomic pressures, conceptualize AI as an equalizing tool that democratizes access to high-quality writing support (Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
The Discussion (section 6; page unavailable) reports that L2 students experienced AI as helping them overcome language barriers and express their ideas. The cited passages do not show students facing socioeconomic pressures or describe AI as democratizing access to high-quality writing support; those parts of the claim go beyond the study’s findings. (LLM, conf=0.86)
Experimental — accuracy not yet measuredLLMs dominate the planning phase for idea generation and outlining and continue supporting drafting for content expansion, while AWE tools are reserved primarily for revision and editing.
“LLMs dominate the planning phase for idea generation and outlining, continue supporting the drafting phase for content expansion, while AWE tools are reserved primarily for revision and editing (Wang, 2024; Zhao and Dang, 2026).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
The Findings (§5.1; page unavailable) report students using ChatGPT to brainstorm ideas and organize outlines, supporting its role in planning. They also report ChatGPT use in revision and editing, but do not establish that LLMs dominate planning or support drafting through content expansion. The Literature Review (§2.1; page unavailable) describes AWE as aiding writing, revision, and self-learning, not as reserved primarily for revision and editing. (LLM, conf=0.86)
Experimental — accuracy not yet measuredExplicit instruction in prompt engineering and critical AI literacy positions AI as a legitimate skill development object rather than taboo.
“Explicit instruction in prompt engineering and critical AI literacy positions AI as legitimate skill development object rather than taboo (Talandis and Muller, 2025; Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
The Conclusion (section 7) recommends critical digital pedagogy, reflection on AI literacy, and an inclusive rather than “policing” environment that treats AI as a resource for learning. The Discussion (section 6) also calls students’ AI-related decision-making a teaching opportunity. These passages support the critical AI literacy and non-taboo framing, but they do not specifically advocate explicit instruction in prompt engineering. (LLM, conf=0.84)
Experimental — accuracy not yet measuredStudies examining AI-assisted writing tasks report that students often produce more fluent and well-structured text, while improvements in argument quality or conceptual reasoning remain limited.
“For example, studies examining AI-assisted writing tasks report that students often produce more fluent and well-structured text, while improvements in argument quality or conceptual reasoning remain limited [10][11][12].”
From Fluency Illusion: A Review on Influence of ChatGPT in Classroom Settings (2026) · cites this paper as [11]
In 5 Findings (page unavailable), a student says ChatGPT made her language more fluent, and students describe using it to improve organization and structure. The same section reports that students found its responses generalized and lacking depth on questions requiring critical thinking. The study reports students’ experiences, however, rather than measuring text quality or showing that improvements in argument quality or conceptual reasoning were limited. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Studies consistently report that students perceive AI-generated text as helpful for brainstorming, drafting, paraphrasing, and improving linguistic accuracy.
“Studies consistently report that students perceive AI-generated text as helpful for brainstorming, drafting, paraphrasing, and improving linguistic accuracy [11].”
From Fluency Illusion: A Review on Influence of ChatGPT in Classroom Settings (2026) · cites this paper as [11]
The Findings (section 5.1) report that students found ChatGPT helpful for brainstorming, outlining, revising, and editing; the Discussion (section 6) says they had overall positive experiences with AI-assisted writing. The paper also describes help with grammar and wording during drafting, but the passages found do not establish that students used AI-generated text for paraphrasing or to produce drafts. Its six-student study does not itself establish that studies consistently report every listed use. (LLM, conf=0.83)
Experimental — accuracy not yet measuredAppropriate AI usage is motivated by efficiency enhancement, cognitive load reduction, and access to personalized scaffolding.
“Appropriate usage is motivated by efficiency enhancement, cognitive load reduction, and access to personalized scaffolding (Kumar et al., 2025; Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
EFL and L2 students view AI as voice-augmenting and barrier-removing, whereas native speakers report concerns about authenticity when AI suggestions diverge from personal style.
“EFL and L2 students view AI as voice-augmenting and barrier-removing, whereas native speakers report concerns about authenticity when AI suggestions diverge from personal style (Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
Students use AI as a walking tutor providing instant feedback on linguistic accuracy and structural coherence, particularly during brainstorming and drafting.
“Students use AI as a “walking tutor” providing instant feedback on linguistic accuracy and structural coherence, particularly during brainstorming and drafting (Talandis and Muller, 2025; Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
The motivation to use AI as a tutor is especially pronounced among non-native speakers who leverage AI to augment authorial voice and overcome communication barriers.
“This motivation is especially pronounced among non-native speakers who leverage AI to augment authorial voice and overcome communication barriers (Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
Product-process assessment mitigates "full delegation" by rewarding the cognitive journey over the final output.
“Mitigates “full delegation” by rewarding the cognitive journey over the final output (Hanh and Duyen, 2025; Wang, 2024).”
From Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth (2026) · cites this paper as Wang, 2024
Students may rely on AI for organization without strengthening their reasoning.
“Students may rely on AI for organization without strengthening reasoning [11,36]”
From Fluency Illusion: A Review on Influence of ChatGPT in Classroom Settings (2026) · cites this paper as [11]
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Bahari, A. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12481 · Cited by 64 · see citing works
Beyond ChatGPT: Multimodal generative AI for L2 writers
Kang, J., & Yi, Y. (2023) · Journal of Second Language Writing · doi:10.1016/j.jslw.2023.101070 · Cited by 62 · cited 1× · see citing works
“…assistance; the multimodal functionalities of generative AI can also allow writers to explore creative expressions and multimodal writing, enriching literacy practices by integrating more visual, auditory, and interactive elements into the composition process (Kang & Yi, 2023; Li et al., 2024).”
Enhancing Post-secondary Writers’ Writing Skills with a Chatbot: A Mixed-Method Classroom Study
Lin, M. P.-C., & Chang, D. (2020) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 54 · see citing works
Pandarova, I., Schmidt, T. D., Hartig, J., Boubekki, A., Jones, R. D., & Brefeld, U. (2019) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-019-00180-4 · Cited by 53 · cited 1× · see citing works
“Research shows that ITS could enhance students’ vocabulary and grammar development, offer immediate sentence-and paragraph-level suggestions, and provide insights into students’ writing behaviors (Jeon, 2021; Pandarova et al., 2019).”
AI in CALL—Artificially Inflated or Almost Imminent?
Schulze, M. (2008) · CALICO Journal · doi:10.1558/cj.v25i3.510-527 · Cited by 44 · cited 1× · see citing works
“Researchers have long been studying the utilization of AI technologies to support writing and language learning (Schulze, 2008).”
Ferrara, A. (2002) · Routledge eBooks · doi:10.4324/9780203005422 · Cited by 44 · see citing works
Co-authoring with an AI? Ethical Dilemmas and Artificial IntelligencePreprint
Jabotinsky, H. Y., & Sarel, R. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4303959 · Cited by 40 · cited 1× · see citing works
“…further pursue what it means by authenticity and academic integrity in an increasingly AI-mediated educational context, ways to promote students’ authorial voice and agency, as well as the complicated authorship issues (Jabotinsky & Sarel, 2022) involved in AI-human collaboratively generated texts.”
Writing in Test and Non-test Situations: Process and Product
Khuder, B., & Harwood, N. (2015) · Journal of Writing Research · doi:10.17239/jowr-2015.06.03.2 · Cited by 39 · cited 1× · see citing works
“For instance, skilled writers refine and revise their ideas during writing, whereas novice writers mostly engage in sentence level changes such as fixing grammatical and lexical issues (e.g., Khuder & Harwood, 2015).”
Digital Writing Technologies in Higher Education
Kruse, O., Rapp, C., Anson, C. M., Benetos, K., Cotos, E., Devitt, A., & Shibani, A. (2023) · Springer eBooks · doi:10.1007/978-3-031-36033-6 · Cited by 35 · see citing works
Remodeling writers’ composing processes: Implications for writing assessment
Abdel Latif, M. M. M. (2021) · Assessing Writing · doi:10.1016/j.asw.2021.100547 · Cited by 31 · cited 3× · see citing works
“Since the early 1980s until now, scholars have proposed various writing process models (e.g., Abdel Latif, 2021; Flower & Hayes, 1981; Hayes, 2012; Kellogg, 1996), yet they are still trying to form a complete understanding of composing processes.”
Pedagogies of Digital Composing through a Translingual Approach
Martín, C. S., Hirsu, L., Gonzales, L., & Alvarez, S. P. (2019) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2019.02.007 · Cited by 28 · see citing works
L1 versus L2 writing processes: What insight can we obtain from a keystroke logging program?
Mohsen, M. A. (2021) · Language Teaching Research · doi:10.1177/13621688211041292 · Cited by 28 · cited 1× · see citing works
“For L2 students, writing can be very complex and cognitively daunting (Mohsen, 2021) due to reasons including but not limited to linguistic barriers (Johnson, 2017).”
Li, B., Wang, C., Bonk, C. J., & Kou, X. (2024) · TechTrends · doi:10.1007/s11528-024-00960-3 · Cited by 25 · cited 1× · see citing works
“…assistance; the multimodal functionalities of generative AI can also allow writers to explore creative expressions and multimodal writing, enriching literacy practices by integrating more visual, auditory, and interactive elements into the composition process (Kang & Yi, 2023; Li et al., 2024).”
Exploring Academic Voice in Multimodal Quantitative Texts
Prince, R. N., & Archer, A. H. (1970) · Literacy and Numeracy Studies · doi:10.5130/lns.v22i1.4178 · Cited by 18 · see citing works
Authenticity, Self-fulfillment, and Self-acknowledgment
Rings, M. (2017) · The Journal of Value Inquiry · doi:10.1007/s10790-017-9589-6 · Cited by 17 · cited 1× · see citing works
“As Rings (2017) acknowledged, authenticity extends beyond adherent to personally endorsed commitments; it requires a comprehensive consideration of one’s self-awareness and the changing social context.”
Poquet, O. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13435 · Cited by 17 · cited 6× · see citing works
“Poquet (2024) integrates these two theoretical orientations, proposing that sensemaking encompasses both the individual and the collective, drawing attention to how learners explain the cognitive aspects of their learning as well as the social and cultural factors shape their learning experiences.”
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Investigating L2 writers' critical AI literacy in AI-assisted writing: An APSE model
Wang, C., & Wang, Z. (2025) · Journal of Second Language Writing · doi:10.1016/j.jslw.2025.101187 · Cited by 140 · see citing works
Generative AI (GenAI) in the language classroom: A systematic review
Lee, S., Choe, H., Zou, D., & Jeon, J. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2025.2498537 · Cited by 158 · see citing works
“As a resource provider, GenAI assisted language learners in enriching writing topics (Mahapatra, 2024), seeking additional information (Punar Özçelik & Ekşi, 2024), learning technical terms (Abdelhalim, 2024), and improving grammar or vocabulary (C. Wang 2024).”
InfluentialLiteracy in the Time of Artificial Intelligence
Kalantzis, M., & Cope, B. (2024) · Reading Research Quarterly · doi:10.1002/rrq.591 · Cited by 162 · see citing works
“But they also noted differences between human and machine feedback and that the two were different in useful ways (Tzirides, Zapata, et al., 2023, 2024; Zapata et al., 2024).”
Kohnke, L. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100279 · Cited by 126 · see citing works
A systematic literature review of generative artificial intelligence (GenAI) literacy in schools
Park, J. (2025) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2025.100487 · Cited by 89 · see citing works
Gökçe, A. T., Topal, A. D., Geçer, A. K., & Eren, C. D. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13081-4 · Cited by 61 · see citing works
“For example, Wang (2024) found that students’ interactions with AI require a blend of knowledge, skills, and self-reflection to make informed decisions.”
Tejeda, A. S., Oller, J. C. D., Escandell, J. M. B., Gómez-Díaz, R., & Rodríguez, A. G. (2026) · Frontiers in Education · doi:10.3389/feduc.2025.1711718 · Cited by 92 · see citing works
Hwang, H., Chang, X., & Sun, J. (2025) · Journal of Second Language Writing · doi:10.1016/j.jslw.2025.101230 · Cited by 65 · see citing works
The use of AI tools in English academic writing by Saudi undergraduates
Ozfidan, B., El-Dakhs, D. A. S., & Alsalim, L. A. (2024) · Contemporary Educational Technology · doi:10.30935/cedtech/15013 · Cited by 45 · see citing works
“These worries align with the research conducted by Wang (2024) and Özçelik and Ekşi (2024) who observed comparable issues over striking a balance between utilizing AI tools and upholding academic integrity and individual learning growth.”
Making sense of generative AI for assessments: Contrasting student claims and assessor evaluations
Fischer, I., Sweeney, S., Lucas, M., & Gupta, N. (2024) · The International Journal of Management Education · doi:10.1016/j.ijme.2024.101081 · Cited by 37 · see citing works
Derakhshan, A. (2025) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-025-01042-5 · Cited by 44 · see citing works
“…currently used in educational contexts include Gemini (Google), ChatGPT (OpenAI), and Claude (Anthropic), each offering interactive, text-based support for a wide range of learning activities, such as brainstorming, content summarization, grammar correction, and dialogue simulation (Wang, 2024).”
Nguyen, L. Q., Le, H. V., & Nguyen, P. T. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13231-8 · Cited by 42 · see citing works
“High levels of affective engagement can lead to reduced anxiety and a more enjoyable learning experience, which are essential for effective language acquisition and writing improvement (Dai & Wang, 2024; Dewaele et al., 2018).”
InfluentialTan, X., Wang, C., & Xu, W. (2025) · Applied Linguistics · doi:10.1093/applin/amae092 · Cited by 33 · see citing works
Xu, L., Zhang, L., Ling, O., & Wang, D. (2025) · Journal of Second Language Writing · doi:10.1016/j.jslw.2025.101227 · Cited by 32 · see citing works
From prompt to polished: Exploring student-chatbot interactions for academic writing assistance
Usher, M., & Amzalag, M. (2025) · Education Sciences · doi:10.3390/educsci15030329 · Cited by 31 · see citing works
Identity and investment in the age of generative AI
Darvin, R. (2025) · Annual Review of Applied Linguistics · doi:10.1017/s0267190525100135 · Cited by 30 · see citing works
“There have been explorations of learner perceptions of GenAI (Liu & Ma, 2024; Liu et al., 2024a; Wang, 2024), learner motivation (Liu & Reinders, 2024; Liu et al., 2024b), and teacher perspectives and readiness (Kaplan-Rakowski et al., 2023; Moorhouse, 2024).”
The value of GenAI for peer feedback provision: student perceptions and impacts
Noroozi, O., Haddadian, G., Gao, X., Schunn, C. D., Alqassab, M., & Banihashem, S. K. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00558-6 · Cited by 31 · see citing works
“…GenAI tools such as ChatGPT and Grammarly for technical language improvements, which corresponds with GenAI’s documented affordances in performing grammatical corrections and para-phrasing (Guo & Wang, 2024) as well as enhancing overall writing accuracy (Mahapatra, 2024; Mizumoto & Eguchi, 2023).”
Enhancing Critical Writing Through AI Feedback: A Randomized Control Study
Zhang, K. (2025) · Behavioral Sciences · doi:10.3390/bs15050600 · Cited by 44 · see citing works
“The few existing experimental studies rarely control for feedback timing or structural equivalence across conditions, preventing conclusive determinations about the causal impact of AI feedback on writing outcomes (Ban-ihashem et al., 2024; Song & Song, 2023; Wang, 2024).”
Silvola, A., Kajamaa, A., Merikko, J., & Muukkonen, H. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13606 · Cited by 24 · see citing works
Leveraging ChatGPT for Second Language Writing Feedback and Assessment
Li, M. (2024) · International Journal of Computer-Assisted Language Learning and Teaching · doi:10.4018/ijcallt.360382 · Cited by 36 · see citing works
Leveraging ChatGPT for research writing: An exploration of ESL graduate students’ practices
Cheng, D., Li, M., & Lee, T. S. (2025) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2025.102934 · Cited by 28 · see citing works
Wang, C., Xu, W., & Tan, X. (2025) · Applied Linguistics · doi:10.1093/applin/amaf057 · Cited by 43 · see citing works
Wang, P., Liu, T., Yang, Y., & Xiang, X. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.70018 · Cited by 21 · see citing works
Galindo‐Domínguez, H., Delgado, N., de la Maza, M. S., & Urbieta, J. M. E. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.108985 · Cited by 21 · see citing works
Lu, Q., Yao, Y., Xiao, L., Zhu, X., & Yin, H. (2026) · Computer Assisted Language Learning · doi:10.1080/09588221.2025.2605541 · Cited by 31 · see citing works
Arpacı, İ., & Kuşci, İ. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-025-09817-x · Cited by 23 · see citing works
“Chatbots like ChatGPT can meet users’ emotional needs and engage in meaningful interactions, satisfying the need for a relationship with technology (Wang, 2024).”
Bui, T. T. U., & Tong, T. V. A. (2025) · AsiaCALL Online Journal · doi:10.54855/acoj.251615 · Cited by 30 · see citing works
“Such findings align with other studies, which highlight that some students are hesitant to utilize AI writing tools to improve their writing abilities, fearing that reliance on these tools might lose their original voice (Wang, 2024; Cummings et al. 2024).”
Generative AI as a Cognitive Co-Pilot in English Language Learning in Higher Education
Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Hafizh, M. A., Zakiyah, M., Syafitri, W., Nusi, A., & Hardiah, M. (2025) · Education Sciences · doi:10.3390/educsci15060686 · Cited by 31 · see citing works
“C. Wang (2024) highlights that students leverage GenAI for various writing tasks, such as brainstorming, organizing ideas, and refining both global and local writing issues.”
InfluentialPeters, M., & Angelov, D. (2025) · International Journal for Educational Integrity · doi:10.1007/s40979-025-00201-x · Cited by 27 · see citing works
“According to numerous sources, the advent of GenAI will revolutionize learning and teaching at all levels (Bearman and Luckin 2020; Bearman et al. 2022; Farrelly and Baker 2023; Wang 2024), with GenAI literacy becoming an essential element for all students to master (Southworth et al. 2023).”
Charles, K. A., Yousuf, A., Chua, H. C., Matthews, S., Harnett, J., & Hinton, T. (2025) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2025.177508 · Cited by 17 · see citing works
Effects of human-AI collaborative writing strategy on EFL students’ argumentative writing skills
Pratama, R. D., Widiati, U., & Hakim, L. N. (2025) · Computer Assisted Language Learning · doi:10.1080/09588221.2025.2503900 · Cited by 18 · see citing works
Erosion of Critical Academic Skills Due to AI Dependency Among Tertiary Students
Miranda, J. P. P., Cruz, M. A. D., Fernandez, A. B., Balahadia, F. F., Aviles, J. S., Caro, C. A., Liwanag, I. G., & Gaña, E. P. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0122-8.ch002 · Cited by 17 · see citing works
Ravi, M., Kaur, K., Wright, C., Bawn, M., & Cutillo, L. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00557-7 · Cited by 12 · see citing works
“Hence, although cGenAI-assisted writing processes have come under increasing scrutiny for assessment in higher education (Wang, 2024), we see that a large majority of our surveyed staff indeed consider such a use case as requiring competence in AI.”
Coexisting with ChatGPT: Evaluating a tool for AI-based paper revision
Manierre, M. J., Propst, L., Cohen, A., & Rogers, J. (2025) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2025.102923 · Cited by 12 · see citing works
Muthmainnah, M., Asad, M. M., Yakin, A. M. A., & Almusharraf, N. (2025) · Asian Education and Development Studies · doi:10.1108/aeds-01-2025-0038 · Cited by 14 · see citing works
Gong, L., Chen, J., & Wu, F. Q. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3564177 · Cited by 10 · see citing works
“Similar scenarios include programming education [82], [83] and collaborativewriting[84],[85],whereLLMscanmaximizetheir advantagesinknowledgeandskills.”
Liu, S., Liang, C., & Yu, S. (2025) · System · doi:10.1016/j.system.2025.103831 · Cited by 10 · see citing works
Ning, Y., Seah, W. T., Chen, J., Liu, J., & Tan, P. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105572 · Cited by 9 · see citing works
Stolpe, K., Larsson, A., & Falck, M. J. (2026) · International Journal of Technology and Design Education · doi:10.1007/s10798-026-10060-3 · Cited by 10 · see citing works
“Fourth, prior knowledge plays a crucial role in shaping how students formulate prompts and interpret AI responses (Alfugaha & Al-Smadi, 2025; Wang, 2024).”
Generative Artificial Intelligence in Enhancing English Language Skills: A Systematic Review
G., A., & S, P. K. N. (2025) · Studies in Media and Communication · doi:10.11114/smc.v13i4.7763 · Cited by 17 · see citing works
MacArthur, M. J., Minnillo, S., Sperber, L., Whithaus, C., & Stillman, N. (2025) · Frontiers in Communication · doi:10.3389/fcomm.2025.1615752 · Cited by 8 · see citing works
Li, X., Li, T., Wang, M., Tao, S., Zhou, X., Wei, X., & Guan, N. (2025) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2025.3539104 · Cited by 8 · see citing works
“Wang’s study [35] acknowledged AI’s limitations in areas, such as originality and creativity, but also highlights its role in enhancing students’ critical thinking and writing skills.”
Voice in AI-assisted multimodal texts: What do readers pay attention to?
Tan, X., Xu, W., & Wang, C. (2025) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2025.102918 · Cited by 7 · see citing works
Barrot, J. S., & Aranda, M. R. R. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-025-09884-0 · Cited by 7 · see citing works
The impact of chatbots on emotional intelligence in AI-assisted EFL writing
Kazazoğlu, S., & Özel, G. T. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1624272 · Cited by 9 · see citing works
Jose, L. (2025) · Research Square · doi:10.21203/rs.3.rs-5703952/v1 · Cited by 7 · see citing works
Fluency Illusion: A Review on Influence of ChatGPT in Classroom Settings
Kumar, S., Mikayelyan, A., & Vorfolomeyeva, O. (2026) · Information · doi:10.3390/info17030299 · Cited by 11 · see citing works
Hsu, H.-P. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2543113 · Cited by 6 · see citing works
“Specifically, at the start, writers must reflect on whether their use of AI aligns with relevant policies and guidelines set by those who will review their work (Candilas et al., 2024; Wang, 2024a), in line with the Ethical Use principle.”
InfluentialHan, J., Yang, Y., & Liu, G. (2025) · European Journal of Education · doi:10.1111/ejed.70240 · Cited by 8 · see citing works
L2 writers’ critical AI literacy in AI-assisted academic writing: scale development and validation
Yao, G., & Fan, L. (2026) · IRAL - International Review of Applied Linguistics in Language Teaching · doi:10.1515/iral-2025-0218 · Cited by 6 · see citing works
“These tools can potentially alleviate cognitive load and enhance L2 writers ’ con fi dence and grammatical accuracy (Wang 2024; Woo et al. 2024).”
Cui, Y. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01286-0 · Cited by 9 · see citing works
Luo, T., & Cao, S. (2026) · SAGE Open · doi:10.1177/21582440251409860 · Cited by 5 · see citing works
“The increase in PU, in turn, directly facilitated students’ willingness to try GAI, ultimately driving an increase in their BI to use it (Yao & Wang, 2024; W. W. Zhang & Hou, 2024).”
InfluentialButarbutar, R., & Vallejo, R. G. (2025) · Data & Metadata · doi:10.56294/dm2025203 · Cited by 10 · see citing works
Le, T. T. P., Quach, T. T. N., Pham, T. X. T., & Nguyen, D. L. (2025) · AsiaCALL Online Journal · doi:10.54855/acoj.2516115 · Cited by 5 · see citing works
Jang, H., Jin, L., & So, H.-J. (2026) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-025-01076-9 · Cited by 4 · see citing works
“Wang ( 2024) also examined students’ use of ChatGPT during Eng - lish writing and found that university students perceived it as helpful for brainstorming, organizing ideas, and devel - oping initial drafts.”
InfluentialHuang, Y., Chen, S., Zhang, W., & Chen, M. (2026) · Education Sciences · doi:10.3390/educsci16060816 · Cited by 7 · see citing works
Jin, Y., Yang, K., Martínez‐Maldonado, R., Gašević, D., & Yan, L. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100655 · Cited by 4 · see citing works
“(Zhai, Wibowo and Li, 2024; Yang, Raković, Liang, Yan, Zeng, Fan, Gašević and Chen, 2025; Wang, 2025) A key determinant of these outcomes lies in the interaction design.”
Trinovita, D., Nurchurifiani, E., Hastomo, T., Andewi, W., & Hasbi, M. (2025) · JURNAL IQRA · doi:10.25217/ji.v10i2.6389 · Cited by 18 · see citing works
“Effective integration of GenAI requires educators to move beyond passive allowance and proactively instruct students on how to engage with it as a learning scaffold instead of a tool of dependency (Wang, 2024; Zhu et al., 2024).”
Approach Generative AI Tools Proactively or Risk Bypassing the Learning Process in Higher EducationPreprint
Sallai, D., Cardoso‐Silva, J., & Barreto, M. E. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4886015 · Cited by 4 · see citing works
Ink and algorithm: Exploring temporal dynamics in generative <scp>AI</scp> ‐assisted writing
Yang, K., Cheng, Y., Zhao, L., Raković, M., Swiecki, Z., Gašević, D., & Chen, G. (2026) · British Journal of Educational Technology · doi:10.1111/bjet.70031 · Cited by 4 · see citing works
Large language model AI-guided creative writing co-creation in secondary schools
Spitsberg, T., Kettler, T., & McKamie, J. (2025) · Theory Into Practice · doi:10.1080/00405841.2025.2528551 · Cited by 3 · see citing works
Sağlam, A. L. G. (2025) · Learning Research and Practice · doi:10.1080/23735082.2025.2567247 · Cited by 6 · see citing works
“…(Imran & Almusharraf, 2023), mentors (Fidan & Gencel, 2022), conversational partners both in writing (El Shazly, 2021; Tai, 2024; Tai & Chen, 2024; Wang, 2024) and speaking (Fathi et al., 2024; Youn, 2023), evaluators (Cotton et al., 2023), feedback providers (Jeon & Lee, 2023), personal language…”
Li, X., Wang, W., & Gu, L. (2025) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2025.2587925 · Cited by 4 · see citing works
“Informed by previous research (e.g. Teng 2024), a questionnaire consisting of 22 multiple-choice questions and an open-ended question (see Table 2) was designed to investigate students’ perceptions and experiences of using GenAI feedback during revision.”
InfluentialEntangled cognition in EFL education: The role of generative AI
Hsu, L. (2025) · Contemporary Educational Technology · doi:10.30935/cedtech/17621 · Cited by 5 · see citing works
Artificial Intelligence and Academic-Based Writing Pedagogy
Oyenuga, M. O. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5601-3.ch001 · Cited by 3 · see citing works
Exploring generative AI assisted-EFL academic writing: An activity theory perspective
Jia, C., & Lu, Y. (2026) · Journal of English for Academic Purposes · doi:10.1016/j.jeap.2026.101672 · Cited by 7 · see citing works
Implications of Leveraging AI in Students’ Academic Writing: A Review Analysis
Tumiran, M. A., Mohammad, N., & Bahri, S. (2024) · Malaysian Journal of Social Sciences and Humanities (MJSSH) · doi:10.47405/mjssh.v9i8.2954 · Cited by 7 · see citing works
“Some AI technologies may improve students’ academic abilities to write better, their ways of teaching and learning, and create a unique student feedback mechanism (Wang, 2024; Maphoto et al., 2024; Wu, 2024a).”
BackgroundRosmayanti, V. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1952-0.ch008 · Cited by 3 · see citing works
Yao, G. (2025) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2025.2553104 · Cited by 2 · see citing works
“They advocate for critical discussions about AI, exemplifying TFL’s ‘designing for feedback dialogues’ (Buckingham Shum et al. 2023), and are opposed to banning GPT (S33), focusing instead on ethical engagement (Wang 2024).”
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 · see citing works
“Wang (2025) highlighted the dilemmas teachers must manage: supporting AI use for skill development while maintaining learning authenticity.”
Kwon, K., Yang, S., Kale, U., Kim, K., & Park, J. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100588 · Cited by 4 · see citing works
Tseng, S.-S. (2026) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2026.2658636 · Cited by 2 · see citing works
Wolf, M. K., Suhan, M., Deane, P., Sova, L., & Alderman, J. (2026) · Assessing Writing · doi:10.1016/j.asw.2026.101083 · Cited by 2 · see citing works
Artificial intelligence in academic writing: A decade of trends and influences
Ghosh, P. L., Barua, S., & Golder, U. (2026) · Sustainable Futures · doi:10.1016/j.sftr.2026.102034 · Cited by 3 · see citing works
Ethically Utilizing GenAI Tools to Alleviate Challenges in Conventional Feedback Provision
Zainurrahman, Z., Purnawarman, P., & Muslim, A. B. (2024) · Journal of Academic Ethics · doi:10.1007/s10805-024-09578-9 · Cited by 3 · see citing works
“Studies reported that GenAI tools have been used in various fields (Hagerty & Rubinov, 2019), including in teaching and learning (Almasri, 2024; Law, 2024; Sumakul et al., 2022), especially in writing (Bahammam et al., 2023; Wang, 2024; Weidmann, 2024).”
Chat-GPT Feedback: Fostering Growth in English Writing Abilities among Students
Sekewael, M., & Anaktototy, K. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1007287 · Cited by 2 · see citing works
Mulyono, Kusumaningsih, D. A., Mukhzamilah, Yuliyanto, A., Rhubido, D., & Cahyo, A. A. R. (2025) · Theory and Practice in Language Studies · doi:10.17507/tpls.1508.34 · Cited by 2 · see citing works
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 · see citing works
Alshehri, O. A. O., Lamouchi, A., Abdellatif, M. S., Al-Dosari, M. N. A., Mekheimer, M., & Nemt-allah, M. A. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1830103 · Cited by 2 · see citing works
“…alternative outlines, proposing argumentative structures, and modeling genre conventions, AI expands learners’ rhetorical options—particularly valuable for those lacking sufficient exposure to academic writing schemas (Deep and Chen, 2025; Kim et al., 2024; Reza et al., 2025; Wang, 2024).”
Панкова, Т. Н., Вячеславовна, Я. Н., Sadykova, N., Tomin, V. V., & Колбасина, А. Д. (2025) · Вестник педагогических наук. · doi:10.62257/2687-1661-2025-1-202-208 · Cited by 1 · see citing works
Kristianto, V. A., Sucipto, S., Sri, H., & Yuhanafia, N. (2025) · Language Circle Journal of Language and Literature · doi:10.15294/lc.v19i2.21540 · Cited by 1 · see citing works
“This environment may inadvertently stifle creativity as it may promote conformity to individual teacher preferences rather than fostering unique student expressions (Wang, 2024).”
Xia, L. A., & Beech, H. (2025) · Journal of China Computer-Assisted Language Learning · doi:10.1515/jccall-2024-0031 · Cited by 3 · see citing works
“In particular, students have used GenAI tools widely in academic writing tasks and have found them to be helpful in enhancing their writing motivation and con-fi dence (Guo and Li 2024; Meniado et al. 2024; Wang 2024).”
InfluentialDevelopment of an AI-Powered System for Thesis Advisor Consultations
Dangprasert, S. (2025) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2025.15.6.2316 · Cited by 1 · see citing works
“Motivation and Creativity: Incorporating ChatGPT in academic writing stimulates creativity and helps improve language skills, particularly for non-native speakers [54].”
Forlales, A. L., & Villanueva, E. R. (2025) · Romblon State University Research Journal · doi:10.58780/rsurj.v7i1.229 · Cited by 1 · see citing works
Effects of DeepSeek-assisted Writing Instruction on EFL Learners' Writing Performance
Hu, S., & Wang, L. (2025) · International Conference on Educational Digitalization and Computer Science in the Guangdong-Hong Kong-Macao Greater Bay Area · doi:10.1145/3746469.3746577 · Cited by 1 · see citing works
“Many researchers have confirmed the effectiveness of GenAI chatbots in second language writing practice [5] [6], however, most of these studies are based on the application of ChatGPT series.”
Wang, J., & Xiao, H. (2025) · International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) · doi:10.1109/icnc-fskd67701.2025.11197985 · Cited by 1 · see citing works
“Wang (2024) noted AI’s potential to produce culturally misaligned content, requiring cross-cultural optimization [18].”
Huang, Z., Abbas, G., Nazar, N., & Jiang, Z. (2025) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2025.2602795 · Cited by 2 · see citing works
Self-Regulated Language Learning and Generative AI: A Systematic Review
Özturan, T. (2025) · Boğaziçi Üniversitesi Eğitim Dergisi · doi:10.52597/buje.1751534 · Cited by 1 · see citing works
ChatGPT in Education: A Critical Overview of Breakthroughs and Challenges
Troussas, C., Krouska, A., Phivos Mylonas, B., & Sgouropoulou, C. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-10824-1_12 · Cited by 1 · see citing works
Jin, H., Li, Y., Jiang, Y., & Dong, C. (2026) · Computer Assisted Language Learning · doi:10.1080/09588221.2026.2628044 · Cited by 1 · see citing works
Students’ Utilisation of Artificial Intelligence in Open and Distance Learning
Marıkı, B. E. (2026) · Knowledge · doi:10.3390/knowledge6010006 · Cited by 1 · see citing works
“Although the study demonstrated the need for AI in ODL, misusing or abusing the technology might lead to devastating consequences [31].”
Gow, S., & Illingworth, S. (2026) · Artificial Intelligence in Education · doi:10.1108/aiie-06-2025-0151 · Cited by 1 · see citing works
Generative Artificial Intelligence in Language Education
Tafazoli, D., McCallum, L., Mahjoubi, A., & Ghorbani, B. D. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/407555 · Cited by 1 · see citing works
University Students’ Perceptions of Artificial Intelligence-Based Tools Beyond Text Generation
Marchetti, E., Frandsen, T. F., & Sandu, D.-A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-13153-9_4 · Cited by 1 · see citing works
Negotiating Writer Identity in Second Language Writing with Generative AI Support
Rahnuma, N. (2026) · Digital studies in language and literature · doi:10.1515/dsll-2026-0009 · Cited by 1 · see citing works
“Recent empirical work demonstrates that L2 learners actively edit AI-generated passages to preserve personal voice and linguistic identity, leveraging generative tools as metacognitive sca ff olds rather than wholesale replacements (Kim et al. 2024; Wang 2024).”
Papanastasiou, E. C., Pittas, E., Rodosthenous-Balafa, M., & Λαμπρόπουλος, Γ. (2026) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2026.100603 · Cited by 1 · see citing works
Jiang, G. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1815271 · Cited by 2 · see citing works
“(Wang and Wang, 2025, p. 14) In fact, the five dimensions should form an iterative cycle with overlapping among them.”
InfluentialZou, Z., Ahmad, N. K., & Ismail, L. (2026) · International Journal of Humanities and Social Science · doi:10.30845/ijhss.v16p10
Transnational Perspectives on Teaching Voice and Agency in the GenAI Era
Coban-Postaci, M. (2026) · Digital studies in language and literature · doi:10.1515/dsll-2026-0011 · Cited by 1 · see citing works
“Recent literature highlights the signi fi cant a ff ordances of GenAI, including support for linguistic development (Yan 2023), immediate feedback (Barrot 2023), and reduced cognitive load and anxiety (Wang 2024; Wang et al. 2025).”
Restoring Student Voice in AI-Assisted Assignments
Pramana, P., Utari, P., Handoko, A. I., Yuliarti, M. S., Huda, A. M., Setianingrum, V. M., & Susanto, T. (2026) · College Teaching · doi:10.1080/87567555.2026.2693311 · Cited by 1 · see citing works
- Authors
- Wang, C.
- Affiliations
- Colby College (US)
- Corresponding author
- Wang, Chaoran
- ORCID
- Wang, Chaoran
- Venue
- Technology Knowledge and Learning
- Published
- 2024-05-30
- Volume
- 30
- Issue
- 3
- Pages
- 1825-1846
- ISSN
- 2211-1662 (ISSN-L)
- 2211-1670
- OpenAlex
- W4399182459
- Cited by
- 212
- References
- 72
- Citations by year
- 2026: 119 · 2025: 81 · 2024: 12
- FWCI
- 79.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Technology Knowledge and Learning (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- generative AI in writing, ChatGPT, writing process, student perceptions, first-year composition, authorial voice, critical AI literacy, human-AI collaboration, ethics of writing
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