Integrating Large Language Models into Video Game Localisation Teaching and Learning: Preliminary Findings from BA and MA Localisation Courses in Hong Kong

Luis Damián Moreno García*, Carme Mangiron

*Corresponding author for this work

Research output: Contribution to conferenceConference abstractpeer-review

Abstract

This study introduces an on-going project that, with the support of a Teaching Development Grant (TDG), explores the incorporation of Generative AI (GenAI) into video game localisation curricula in Hong Kong, in search of a more authentic learning experience. Taking advantage of access to OpenAI chatbots provided by Hong Kong Baptist University, students of four separate BA and MA courses will engage, to differing degrees, in GPT-supported video game translation and localisation tasks that aim to reflect current industry standards and challenges. The project will develop interactive modules and in-class activities, explore automatic/secondary assessment approaches via GenAI, as well as develop training to maximise the pedagogical potential of GPT models in translation-related courses. Preliminary findings in relation to imparting and acquiring specialised knowledge with the support of GPT chatbots will be shared, and possible applications to the instruction and acquisition of domain specific expertise will be discussed.
Original languageEnglish
Publication statusPublished - 30 Jun 2025
Event11th EST Congress 2025 - University of Leeds, Leeds, United Kingdom
Duration: 30 Jun 20253 Jul 2025
https://ahc.leeds.ac.uk/languages/events/event/2764/11th-est-congress-the-changing-faces-of-translation-and-interpreting-studies (Conference website)
https://ahc.leeds.ac.uk/download/downloads/id/922/est-2025-congress-programme.pdf (Conference program)

Conference

Conference11th EST Congress 2025
Country/TerritoryUnited Kingdom
CityLeeds
Period30/06/253/07/25
Internet address

User-Defined Keywords

  • Large language models
  • Curriculum development
  • Video game localization

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