Today I’m talking to Samantha Curle from the University of Bath about her recent article, Generative AI and the future of writing for publication: insights from applied linguistics journal editors.

The peer review process is under increasing strain. With the explosion of submissions to academic journals since ChatGPT became available to all, editorial boards are struggling to keep pace. Peer reviewers are in short supply, and this has prompted (pardon the pun) an increased use of AI in the review process itself, leading to concerns that some articles may be making it to print without having been subjected to the appropriate level of scrutiny.

Samantha and I dig into the data from her study of journal editors and discuss the cracks that are appearing in the system. We also talk about pressure to publish, questionable research practices, the replication crisis, opaque data sets, the future of publishing and more. Samantha also offers advice to teacher researchers looking to publish, and her plans for future projects.

Guest bio Samantha Curle is a Reader in Applied Linguistics at the University of Bath & Adjunct Professor at Khazar University, Azerbaijan. She is Co-founder of the Cambridge ReachSci Mini-PhD on Multilingual Education & a Fellow of the Higher Education Academy & the Royal Society of Arts. She read for her DPhil in Education (Applied Linguistics) at the University of Oxford, having previously read for two MSc degrees there. Her research focuses on English Medium Instruction (EMI) in higher education, examining factors that influence academic achievement, such as English proficiency & psychological constructs. Her research spans across four continents (Africa, Asia, Europe, South America) and she has published in journals such as Language Teaching & Journal of Engineering Education.

References Moorhouse, B., Consoli, S. and Curle, S. (2025). Generative AI and the future of writing for publication: insights from applied linguistics journal editors. Applied Linguistics Review. https://doi.org/10.1515/applirev-2025-0021

Samantha’s Research Gate profile https://www.researchgate.net/profile/Samantha-Curle Follow Samantha on Linkedin https://www.linkedin.com/in/samanthacurle/

Further reading Hinz, A. (2025). Navigating Generative AI in Academic Publishing: An Interview With Benjamin Luke Moorhouse. De Gruyter Conversations. Available at: https://blog.degruyter.com/navigating-generative-ai-in-academic-publishing-an-interview-with-benjamin-luke-moorhouse/

Gibney, E. (2025) Scientists hide messages in papers to game AI peer review. Nature. Available at:doi: https://doi.org/10.1038/d41586-025-02172-y

Kurzgesagt - In a nutshell. (2025). AI Slop is destroying the internet. [Video]. Available at: https://www.youtube.com/watch?v=_zfN9wnPvU0 [Accessed 16th October 2025].

Simons, J. (2024) Harvard’s Gino Report Reveals How A Dataset Was Altered. Data Colada. Available at: https://datacolada.org/118 [Accessed 11th August 2025]

Timecodes 00:00 Introduction 01:49 Samantha Curle 06:22 The spike in submissions 11:05 Why the peer review process was already struggling 13:09 AI generated reviews 15:50 The importance of rigorous peer review 24:31 Rethinking the process 29:03 Questionable research practices 34:05 What has changed in the wake of the replication crisis? 35:34 The difficulty of accessing data sets 40:35 Who can instigate change? 44:07 Advice for teachers looking to publish 48:39 Samantha’s future projects

Many of the skills and language conventions that we see in academia can serve as barriers to students, especially to those for whom English is not a first language. Translanguaging argues for a more inclusive approach to these conventions, and looks for ways in which we can take a more pluralistic view of what kinds of communication are seen as acceptable.

Kelly Webb-Davies joins us to talk through some of the core tenets of translanguaging, how it can help students and the role of technology in levelling the playing field. We also discuss some of the practicalities around translanguaging’s implementation in the classroom, recent developments in assessments, authorship and intelligibility, and a whole lot more.

Kelly delivered a webinar for TELSIG last year that also offers a clear and comprehensive introduction to translanguaging: https://www.youtube.com/watch?v=-600GB8w-WQ

Kelly Webb-Davies is a Lead Business Technologist at the Centre and her academic background is in linguistics, with degrees from the University of Western Australia and the University of Melbourne. Before joining Oxford, she lectured on phonetics and phonology at the University of Bangor and was a Trinity DipTESOL-qualified English for Academic Purposes tutor and Technology Enhanced Learning and Language Lead at Bangor University International College, where working with international students and responding to their specific needs informed her practice of integrating AI productively to assist with their academic and linguistic proficiency.

Her focus is thoughtfully integrating AI into higher education in ways that enhance communication, reduce bias, and expand access to knowledge. She is particularly interested in how AI can be used to address the unique challenges of groups facing linguistic barriers and neurodivergence, creating more inclusive and accessible educational environments. She advocates for a balanced approach that maintains human involvement and fosters critical thinking alongside AI implementation and her work explores innovative ways to incorporate this philosophy into pedagogical and assessment design, ensuring that AI tools complement and enrich education.

Deanne Cobb-Zygadlo has been an EAP tutor at Nazarbayev University since 2015. She is the co-coordinator of the Technology-Enhanced Learning Special Interest Group (TELSIG) with BALEAP, which is the accreditation organization for the NU Foundation Year Program. She is also a member of the ENAI (European Network for Academic Integrity) Policies Working Group.

Lee, J.W., (2016) Beyond Translingual Writing. College English. Available at https://www.jstor.org/stable/44805916

Jacob, S., Tate, T., and Warschauer, M., (2025). Emergent AI-assisted discourse: a case study of a second language writer authoring with ChatGPT. De Gruyter Brill. Available at: https://www.degruyterbrill.com/document/doi/10.1515/jccall-2024-0011/html

Tan, S. (2024) Translanguaging in second language writing processes. Linguistics and Education. Available at: https://www.sciencedirect.com/science/article/pii/S0898589824000664?via%3Dihub

Wei, L. (2022). Translanguaging as a political stance: implications for English language education. ELT Journal. Available at: https://academic.oup.com/eltj/article/76/2/172/6483197

Zhou, S., Zhao, S., Groves, M. (2022). Towards a digital bilingualism? Students’ use of machine translation in international higher education. Journal of English for Academic Purposes. Available at: https://www.sciencedirect.com/science/article/pii/S1475158522001138?via=ihub

00:00 Deanne takes over 01:46 Kelly Webb-Davies 03:11 What is translanguaging? 05:11 Breaking into academic English 08:11 Disrupting the hegemony 13:30 The origins of translanguaging and overlap with World Englishes 17:33 The art of simple communication 21:16 Judith Butler’s use of academese 27:00 Is translaguaging too woke? 32:20 Writing isn’t always thinking 35:45 Shifting the responsibility from the speaker to the listener 40:25 Increasing variety in assessment 48:00 Is it fair to ask students to deal with non-standard language? 54:01 Applying inclusivity to journal submission guidelines