EventsThe 6th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarLucia Billeci
Citation
Mohammad Mohi Uddin, Faria Ansaree, Generative AI in Post-Method ELT Writing Instruction: University Teachers’ Practices and Challenges, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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Generative AI in Post-Method ELT Writing Instruction: University Teachers’ Practices and Challenges

1. Department of English, MA TESOL College of Arts and Sciences, The University of Alabama, Tuscaloosa, 35401, United States, USA
2. Department of Educational Leadership, Policy, and Technology Studies(College of Education), The University of Alabama, Tuscaloosa, AL 35487, United States, USA
Abstract

The integration of Generative Artificial Intelligence (GenAI) in English Language Teaching (ELT) is still at an experimental stage, particularly in developing countries where technological access and pedagogical adaptation remain uneven. While global research on GenAI-enhanced language education is expanding, limited attention has been paid to how university-level English teachers in under-resourced Asia-Pacific contexts navigate and adapt to these emerging tools. This study addresses this gap by exploring how Bangladeshi university-level English teachers engage with GenAI to facilitate first-year writing instruction, infusing two theoretical frameworks: the Post Method pedagogy and the TPACK model. Using a qualitative design, structured individual interviews were conducted with ten university English instructors, experimenting with GenAI-assisted teaching for the first time. Thematic findings include: (i) teachers exercised agency by using GenAI as receptive, assistive, and collaborative tools to enhance writing instruction; (ii) GenAI-generated materials were customized to learners’ cognitive, linguistic, and cultural needs; (iii) GenAI supported reflective and adaptive teaching practices; (iv) it promoted learner autonomy and engagement through exemplars and formative feedback; and (v) challenges persisted, including limited GenAI literacy, inadequate institutional policy, unequal resources, and generational resistance. While integration remains experimental, these findings highlight the potential of GenAI to enrich ELT. By offering a “glocal” perspective, the study informs the sustainable, context-sensitive adoption of GenAI in language education, emphasizing pedagogical adaptability, ethical awareness, and institutional support. It underscores the need to bridge the gap between GenAI policies emerging from Global North contexts and their practical, context-sensitive implementation in the Global South, particularly within Asia-Pacific countries.

Keywords
Generative AI
Post-Method Pedagogy
TPACK
Language Instruction
Teacher Agency
Digital Equity
Under-resourced Asia-Pacific Contexts
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