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Speaker's Abstract

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Title:
"Developing Students’ Global Englishes-oriented Critical GenAI Literacy: An Intervention Study"

The global spread of English has produced a diverse linguistic landscape in which most users are plurilingual speakers outside traditional Anglophone contexts. This has prompted the development of the Global Englishes (GE) perspective, which challenges standardised native-speaker norms and seeks to recognise the legitimacy of diverse English varieties. Despite this shift, many educational settings continue to privilege particular forms of English, reinforcing linguistic hierarchies and limiting learners’ sense of ownership. The rapid growth of generative artificial intelligence (GenAI) has brought renewed urgency to these concerns, as evidence indicates that GenAI tools often reproduce standard language ideologies and marginalise non-dominant English varieties.

In this talk. I’ll share a twelve-week intervention I conducted in a GE course for English majors in Hong Kong. Students critiqued GenAI outputs, evaluated AI voice simulators, and designed GE-oriented chatbots. A mixed-methods design used pre/post questionnaires and interviews. Quantitative results showed increased recognition of English pluralism, awareness of how norms relate to power, and understanding of GenAI’s role in linguistic hierarchies. Qualitative results revealed deeper reflexivity and more critical views of GenAI’s effects on norms, minoritised voices, and students’ voice, identity, and authenticity. I’ll argue that GE-informed pedagogy strengthens students’ critical GenAI literacy and prepares future professionals for AI-mediated communication.

Prof. Benjamin Luke Moorhouse is an Associate Professor in the Department of English, City University of Hong Kong, China. He has extensive experience as a primary school English language teacher. He has worked for the Education Bureau, Hong Kong Baptist University (HKBU), and the University of Hong Kong.  He has received several teaching awards, including the President’s Award for Outstanding Performance in Individual Teaching from HKBU in 2023. His research focuses on the lived experiences, competencies and professional learning of language teachers and teacher educators. Currently, he is exploring the impact of GenAI on language teaching and learning. He has published widely in international journals, including System, TESOL Quarterly, Applied Linguistics Review, and ETJ. He is the co-editor of the European Journal of Teacher Education. According to Stanford University, Benjamin was in the top 2% of cited scholars worldwide in 2022-2025. 
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