Nurul Aini and Yazid Basthomi
2025 VOL. 12, No. 2
Abstract: This article presents a conceptual analysis around the integration of Artificial Intelligence (AI) in learning English writing in higher education. AI contributes to helping students find fresh ideas and content for writing, as well as correcting grammar, typos, and punctuation, as well as paraphrasing, and enhancing writing quality. There has been a spate of empirical research conducted by academicians and scholars related to AI in English writing, however, none of them analysed or reviewed the original concept of AI. It is essential then to describe the conceptual underpinnings as it helps teachers and students to make a clear definition and limitation, establish the theoretical foundation, enhance ethical understanding, and set the expectation related to the integration of AI in writing. This conceptual article sketches how AI is accepted and integrated as tools to enhance students’ learning of English writing. This conceptual paper applies a conceptual approach exploring recent literature and previous research on the integration of AI in writing. It focuses on the discussion of the concept of AI, AI integration in the English writing context, and the future expectations of AI in writing.
Keywords: Artificial Intelligence (AI), English writing, higher education, conceptual analysis
In the world of English as a Foreign Language (EFL), the rapid advancements of Artificial Intelligence (AI) in English writing have catalysed a revolution across various aspects, including English learning (Kumar, 2019). The continuing race between the use of AI and English language learning, especially writing, should not be easily neglected, as the rapid development of AI dramatically influences students’ outcomes. The availability and accessibility of AI to support writing skills have significantly facilitated both teachers in teaching and students in learning.
Lately, there has been research interest in the integration of AI into writing contexts because it offers various positive contributions, such as enhancing writing competence (Chauke et al., 2024), providing fresh ideas (Montenegro-Rueda et al., 2023), and supporting diverse writing tasks like coding, paraphrasing (Zhao et al., 2025), essay composition (Deep et al., 2025), grammar checking, vocabulary building, and script writing (Ateriya et al., 2025). In addition, the presence of AI has brought about changes in writing classroom contexts offering exciting possibilities for interactive teaching methods (Hosseini et al., 2023), personalised learning experiences (Kim et al., 2025), and fostering meaningful engagement (Tran et al., 2025).
Those previous studies explored the use of AI in EFL writing in empirical research but none of them focused on analysing and reviewing the findings of the previous research back to the original concept of AI. There exists a scarcity of further conceptual analysis and deeper discussion related to AI in EFL learning English writing. The findings of the empirical research from the previous academicians and scholars are important however, so it is then more essential to present a conceptual underpinning to connect theoretical frameworks that underpin the AI technologies to make the knowledge more robust, obvious, comprehensive, and relevant. Therefore, this conceptual article was finally written to provide a conceptual analysis of the integration of AI in learning English writing in higher education. This conceptual article sketches how AI is accepted and integrated as a tool to enhance students’ learning of English writing.
This paper has argued the need to consider both research related to the original concept of AI as well as research related to how AI is being used to support development of writing skills. It should be noted that each study implies or indicates the need for further research, which will add knowledge, theoretical insight, and enhance academic understanding related to AI integration in writing. Understanding and analysing conceptual theory should be done by researchers before conducting empirical research. It plays a significant role as a prerequisite for application in empirical research, therefore, future researchers should be encouraged to apply this basic concept before proceeding.
The term Artificial Intelligence (AI) was conceptually initiated by John McCarthy in 1956 (McCarthy et al., 2006, p. 13), as the result of the beginning controversy and debate among the experts on the question, “Can machines think?" John McCarthy, an American computer scientist, was the most influential expert in the world of computers. He became popular as the ‘Father of Artificial Intelligence’ because of his great work in the fields of computer science and AI. Other experts, Russell and Norvig (2016, p. 936) declared the concept of AI as the imitation of "cognitive" functions, namely "learning" and "problem-solving,” replicated in machines or computers.
Another concept proposed by Russell and Norvig (2016) briefly touched on the concept of AI as the emulation of ‘cognitive’ functions, namely ‘learning’ and ‘problem-solving.’ Such an idea tends to highlight the importance of AI to the learning of EFL as problem-solving tasks that are critical and inherent in language learning. AI may emulate certain cognitive functions associated with human thought processes. As assistant tools, AI can help students and teachers in English language use for effective communication and language learning. AI can complement language learning activities and, therefore. it must be considered for use in the design and implementation of EFL instructional technologies.
Currently, AI is indeed used to help teachers and students in learning and problem-solving (Söğüt, 2024). In this case, it is agreed that AI makes positive contributions in various fields but if we look at the creation of AI itself, it was created for computer science, encompassing disciplines such as information science, neuroscience, philosophy, and mathematics. Conceptually, AI is only a machine to create applications, or programmes that work intelligently, much as humans do (Chauke et al., 2024). While learning a language requires being engaged with technology to fulfill and address the students’ learning needs. In this case, the existence and integration of AI as a tool to help teachers and students is no longer doubtful. Thus, the alignment of AI in the world of ELT writing contexts needs to be further developed.
In short, AI is a tool that was conceptually created as part of computer science to copy human intelligence and behaviour. The overarching concept of AI was to provide all people with the transformative benefits of the technological revolution, specifically with regard to promoting innovation and expanding the boundaries of knowledge. AI is then expected to be a useful tool to address significant problems in humans’ lives, especially students’ needs. These key concepts are related to AI in education but still provide a deeper investigation for further exploration of the topic. Further research should then be initiated regarding the contribution of AI to English language learning in the development of those concepts.
The development and integration of AI, especially in English language learning, have changed significantly over time. The AI usage in English language learning demonstrates significant prospects for positive improvements (Jawaid et al., 2025). One key area where AI is making significant progress is in the personalised learning aspect. AI-driven adaptive learning platforms can carefully analyse large amounts of data, including performance indicators, learning tendencies and cognitive profiles, to tailor instructional content and delivery features (Yeh, 2025).
AI enhances English learning since it precisely develops the appropriate exercises, feedback mechanisms, and personalised content recommendations for each learner, thereby increasing their learning performance (Xiao & Yi, 2021). Concrete examples of AI-powered generated tools used are Chat GPT, Essaywrite, Copy.ai, Paperpal, Quillbot, JenniAi, and WordTune (Marzuki et al., 2023). AI tools are perceived to confer advantages in bolstering writing skills. However, the AI approach for most English teachers is often limited only to the immediately quite practical. There is a need for innovation in English teaching and learning triggered by AI-powered efficiency through the use of machine learning, intelligent search algorithms, and natural language processing techniques (Obidovna, 2024).
AI within language learning tools frequently incorporates interactive features. Innovative tools facilitate the dynamic learning process of students and effectively respond to their inquiries and reactions (Rosmayanti, 2025). Consequently, teachers and students can address long-standing classroom challenges such as lack of attention and motivation, and lack of adaption to individual differences among learners. AI not only has huge potential for the students and teachers within the university but also makes the whole learning process easier and subsequently more effective (Tafazoli, 2024). This potential applies to both in-person and online learning contexts.
To sum up, the integration and development of AI in writing have become an inspiration and a basis for a transformational learning journey. AI also appears to be an effective way to help students develop their command of English. In addition, AI can be a huge tool that contributes to the diversity and accessibility of the process. Integrating AI applications into English language learning could directly and significantly improve all aspects of the teaching and learning experience. To this end, the situation demands a critical approach towards AI and its contribution to English language learning.
In writing classroom contexts, learning English should be independent and autonomous (Khotimah et al., 2023). Writing skill itself is deemed a sophisticated, indispensable, crucial, and challenging skill, presenting formidable hurdles for EFL students (Miranty & Widiati, 2021). For EFL students, who are often grappling with linguistic nuances and unfamiliar academic discourse norms, the challenges associated with academic writing are particularly daunting. This statement underscores the complexity inherent in writing skills. It extends beyond compositions, including elements such as critical analysis and the synthesis of ideas.
Additionally, one can note that not only the difficulties of the English language worsen the academic writing problem but also students must be confident of tendering a solid vocabulary, a high level of adeptness in grammar and syntax, and they ought to know how to express complex situations smoothly. This situation creates writing anxiety for many students (Cahyono et al., 2023). Language barriers are one of the main problems for ESL learners who are in the stage of developing their English language skills, and this restricts their writing progress in their subject areas. On the other hand, language barriers may arise from differences in educational background and teaching-learning methods, thereby impeding learners from learning academic English easily and quickly.
Due to these problems, applications and tools, with AI involved, have been increasingly applied in writing processes. Web sites like Chat GPT, Write Sonic, Jetpack, Hyperwrite, and Grammarly, for instance, were established to enable students to develop in writing by suggesting ways to organise grammatical structures, fix errors in style, and improve their writing of paragraphs as a whole, that is, improve sentence construction (Wang, 2024). Grammar and style checkers, such as those used in Grammarly, Jetpack, Paperpal, and Linguix, are other models that use rule-based systems and statistical models to provide critiques and recommendations for improving writing quality (Fahmi & Cahyono, 2021; Xiao, 2021).
Along with this, platforms like Bing AI, Quillbot, Ginger Grammar, Webton, Wordtune, and Drops contribute to writing media by providing morphological and linguistic aids (language translation, paraphrasing, and word development) (Klimova et al., 2023; Maphoto et al., 2024). AI-based machine translation systems, such as DeepL and Google Translate, not only translate text but also offer grammar explanations and build vocabulary, which is particularly beneficial for English learners (Jiang, 2022; Klimova et al., 2023;).
In conclusion, the integration of AI in EFL contexts in Indonesia may be considered a step forward in solving the problems incurred by the English learning process. By taking advantage of technologies to develop dynamic and differentiated learning environments, teachers can help students considerably in their language acquisition process. Thus, the English proficiency and fluency of students can be enhanced.
Understanding what to expect from an imperfect AI in learning English writing is crucial for managing expectations, mitigating risks, and maximising its benefits. The future of AI in writing is exciting and full of possibilities, as it offers various positive contributions to enhance students’ writing. On the other hand, we can also think about the question, ‘Can we expect the machines to play an increasing role in language learning and teaching?’ If the answer is yes, the next question is, ‘Will we rely on machines?’ There could be confusing and far-reaching decisions related to this arguable idea. It is necessary to manage expectations beyond ‘dreams’ about how AI will shape future educational direction and priorities (Aydın, & Karaarslan, 2023).
Expectations concerning emerging AI could have a profound influence on student understanding. We can expect AI to become better at understanding context, making content generation more nuanced and tailored to specific purposes (Kocielnik et al., 2019). Expectations could also be about how AI can shape the innovation, development, and design of new AI (Brennen et al., 2022). The current developments suggest that the future of AI will be amazing, as we believe that the experts will keep on developing the applications and programmes by creating advanced technologies that can bring radical changes into the educational area. However, like any other technology, AI has both advantages and disadvantages that must be considered carefully.
The future of AI in learning could still revolve around producing applications or programmes that can make positive contributions to English writing classes. There are some tools and applications that have proven successful in assisting students in their writing process. AlEd applications are varied and consist of intelligent systems of online electronic learning, which are considered the most essential intelligent educational systems. AI has the potential to transform the functioning of the education system and empower teachers and students to use it as a learning aid. Students and teachers have also expressed their expectations for the use of AI by reflecting on their experiences when using AI in writing classrooms.
This conceptual analysis holds significant implications for teachers in the future. AI can be used as an innovative medium to teach writing in more interesting ways. In addition, teachers must be equipped with the knowledge of AI tools and their pedagogical strategies to integrate them meaningfully. Furthermore, teachers also need to be equipped with the knowledge of AI literacy regarding the ethical use of AI and the awareness of the challenges of integrating AI. Moreover, teachers should learn the practice of a reflective attitude towards the integration of AI in improving students’ writing skills, as well as the critical assessment of the usefulness and limitations of AI in enhancing students’ learning. This can be proposed as a training programme for Teacher Training for Professional Development to educate them regarding not only the strengths but also the weaknesses of integrating AI in writing. Further implications should be referred to the policymakers regarding the ground rules for the use of AI in English learning.
This conceptual approach highlighted two main analyses: providing the original concept of AI and the literature review, consisting of a summary of previous research related to AI in writing. Each of the explanations implies future research. First, the conceptual analysis of the original concept of AI is drawn from expert interpretation of existing theoretical concepts, therefore, it builds implications that future research needs these theories as the literature review foundation to add knowledge, theoretical insight, and enhance academic understanding related to AI integration in writing. Understanding and analysing conceptual theory should be done by researchers before conducting empirical research. It plays a significant role as a prerequisite for application in empirical research, therefore future researchers should be encouraged to apply this basic concept before proceeding.
Second, the summary of previous research related to AI integration in writing, and its benefits and implications, could help future researchers identify any gaps and so plan research to address those gaps.
Without providing the conceptual analysis in this field, critical reflection on the concept and literature review of AI integration in writing will remain biased. Moreover, without conceptual clarity, future empirical research may have shaky or vague foundations and misconceptions about the original concepts of AI integration in writing. However, this conceptual analysis needs to be combined or compared to other theoretical frameworks in the field of technology in English language learning, such as the framework of Technology Acceptance Model (TAM) or Technological Pedagogical and Content Knowledge (TPACK) to provide a variety of theoretical frameworks of AI in English writing.
In wrapping up, the journey of AI is still beginning. With advancements in AI leading the way, we are on the brink of a writing revolution. AI will not replace teachers but will work alongside them, amplifying their capabilities. AI with various tools and personalised features has been shown to improve students’ writing and provide positive contribution in helping students’ writing progress. This conceptual article limited the discussion only to the integration of AI within English writing classes in higher education, whether in-person or online. There might be a different conceptual analysis that applies in another major, field, or different education level. Based on the conceptual analysis above, there is a pressing need to suggest that future research should focus more on empirical research on the students' and teachers' challenges or misconceptions that may arise during the integration of AI in English writing. The findings on the challenges could contribute to the nuanced balance of the data in the educational field, as it will not only present the positive but also the negative sides caused by the integration of AI in English writing.
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Author Notes
Nurul Aini is a doctoral student in the Department of English, Faculty of Letters, Universitas Negeri Malang (UM) and an English teacher in the Institut Agama Islam Negeri (IAIN) Kediri, Indonesia. She holds a master's degree in English education. Her research interests are in English teaching methodology, English teaching and learning media, technology, and artificial intelligence. Email: florida_aini@iainkediri.ac.id, nurul.aini.2302219@students.um.ac.id (https://orcid.org/0009-0007-7929-0512)
Yazid Basthomi is a professor in the Department of English, Faculty of Letters, Universitas Negeri Malang, Indonesia, and at Universiti Poly-Tech, Malaysia. He is a researcher in applied linguistics and has co-supervised PhD theses at the University of New England and Charles Darwin University, Australia. Having interests in genre analysis, he is currently coordinator of the publication division of TEFLIN. Email: ybasthomi@um.ac.id (https://orcid.org/0000-0003-3314-3334)
Cite as: Aini, N., & Basthomi, Y. (2025). Integration of Artificial Intelligence (AI) in learning English writing in higher education. Journal of Learning for Development, 12(2), 364-371.