Authors :
Kanimozhi V.; Anitha Prabakaran; Kokila R.; Barani Krishnan J.
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/yck23yw3
Scribd :
https://tinyurl.com/yck3udnc
DOI :
https://doi.org/10.38124/ijisrt/26aug075
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Anyone who's been paying attention over the last couple of years knows that generative AI tools like ChatGPT,
Copilot, Gemini, and Claude have exploded into pretty much every corner of our lives. English Studies that broad umbrella
covering language teaching, applied linguistics, literary analysis, and academic writing instruction is certainly no exception. The
question isn't whether AI is going to affect the field; it's already here, and it's changing things in ways we're only beginning to
understand.
I've been looking at what scholars have been saying about this shift, drawing on about fifteen studies published between
2021 and 2025. Four big themes keep emerging. First, there's language teaching and learning how AI is being used in the
classroom, for better or worse. Second, literary and cultural analysis is starting to look different, with researchers using AI to
spot patterns in texts that would take a human years to find. Third, writing pedagogy is in a state of upheaval; no one's quite
sure how to handle AI-generated essays, and academic integrity has become a minefield. And fourth, English scholars and
educators are having to rethink their own professional identities—what does it even mean to be an English professor in an age
of AI?
Here's my take: AI isn't just another teaching aid, like a better whiteboard or a slicker LMS. It's fundamentally
reorganizing how we think about knowledge, ethics, and the very meaning of literacy. We can't just pretend it's not happening
or slap a blanket ban on it. Departments need to get proactive rethink their curricula, overhaul assessment practices, and have
honest conversations about what skills we're actually trying to cultivate. The goal isn't to abandon our humanistic and critical
mission; it's to figure out how to preserve it while making smart use of what AI can actually offer. That's going to require some
serious thought, but it's a conversation worth having.
Keywords :
Artificial Intelligence, English Studies, Generative AI, Language Teaching, Literary Studies, Digital Humanities, Writing Pedagogy, Academic Integrity.
References :
- Al-Othman, A. A. M. (2024). Using artificial intelligence in English as a foreign language classrooms: Ethical concerns and future prospects. Arab World English Journal, 10, 85–104.
- Atkinson, J., & Palma, D. (2025). An LLM-based hybrid approach for enhanced automated essay scoring. Scientific Reports, 15(1), 14551. https://doi.org/10.1038/s41598-025-14551-0
- Bode, K. (2023). What's the matter with computational literary studies? Critical Inquiry, 49(4), 507–529.
- Chang, W. L., & Sun, J. C. Y. (2024). Evaluating AI's impact on self-regulated language learning: A systematic review. System, 126, Article 103484. https://doi.org/10.1016/j.system.2024.103484
- Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148
- Du, J., & Daniel, B. K. (2024). Transforming language education: A systematic review of AI-powered chatbots for English as a foreign language speaking practice. Computers and Education: Artificial Intelligence, 6, Article 100230. https://doi.org/10.1016/j.caeai.2024.100230
- Eaton, S. E. (2023). Postplagiarism: Transdisciplinary ethics and integrity in the age of artificial intelligence and neurotechnology. International Journal for Educational Integrity, 19(1), 23. https://doi.org/10.1007/s40979-023-00144-1
- Fitria, T. N. (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.
- Godwin-Jones, R. (2024). Distributed agency in language learning and teaching through generative AI. Language Learning & Technology, 28(2), 5–31. https://doi.org/10.64152/10125/73570
- Jeon, J., Lee, S., & Choi, S. (2024). A systematic review of research on speech-recognition chatbots for language learning: Implications for future directions in the era of large language models. Interactive Learning Environments, 32(8), 4613–4631. https://doi.org/10.1080/10494820.2023.2204343
- Kartal, G., & Yeşilyurt, Y. E. (2024). A bibliometric analysis of artificial intelligence in L2 teaching and applied linguistics between 1995 and 2022. ReCALL, 36(3), 359–375. https://doi.org/10.1017/S0958344024000284
- Koç, F. Ş., & Savaş, P. (2025). The use of artificially intelligent chatbots in English language learning: A systematic meta-synthesis study of articles published between 2010 and 2024. ReCALL, 37(1), 4–21. https://doi.org/10.1017/S0958344024000168
- Pudasaini, S., Miralles-Pechuán, L., Lillis, D., & Llorens Salvador, M. (2025). Survey on AI-generated plagiarism detection: The impact of large language models on academic integrity. Journal of Academic Ethics, 23(3), 1137–1170. https://doi.org/10.1007/s10805-024-09576-x
- Yadav, D. (2024). The role of artificial intelligence in literary analysis: A computational approach to understand literary styles. International Journal of Emerging Knowledge Studies, 3(9), 558–565.
Anyone who's been paying attention over the last couple of years knows that generative AI tools like ChatGPT,
Copilot, Gemini, and Claude have exploded into pretty much every corner of our lives. English Studies that broad umbrella
covering language teaching, applied linguistics, literary analysis, and academic writing instruction is certainly no exception. The
question isn't whether AI is going to affect the field; it's already here, and it's changing things in ways we're only beginning to
understand.
I've been looking at what scholars have been saying about this shift, drawing on about fifteen studies published between
2021 and 2025. Four big themes keep emerging. First, there's language teaching and learning how AI is being used in the
classroom, for better or worse. Second, literary and cultural analysis is starting to look different, with researchers using AI to
spot patterns in texts that would take a human years to find. Third, writing pedagogy is in a state of upheaval; no one's quite
sure how to handle AI-generated essays, and academic integrity has become a minefield. And fourth, English scholars and
educators are having to rethink their own professional identities—what does it even mean to be an English professor in an age
of AI?
Here's my take: AI isn't just another teaching aid, like a better whiteboard or a slicker LMS. It's fundamentally
reorganizing how we think about knowledge, ethics, and the very meaning of literacy. We can't just pretend it's not happening
or slap a blanket ban on it. Departments need to get proactive rethink their curricula, overhaul assessment practices, and have
honest conversations about what skills we're actually trying to cultivate. The goal isn't to abandon our humanistic and critical
mission; it's to figure out how to preserve it while making smart use of what AI can actually offer. That's going to require some
serious thought, but it's a conversation worth having.
Keywords :
Artificial Intelligence, English Studies, Generative AI, Language Teaching, Literary Studies, Digital Humanities, Writing Pedagogy, Academic Integrity.