Addressing automatic speech recognition for ELT from a Global Englishes perspective

Seongyong Lee, Jaeho Jeon

Research output: Journal PublicationArticlepeer-review

1 Citation (Scopus)


Research has indicated that L2 learners frequently encounter challenges when using automatic speech recognition (ASR) in ELT. Therefore, this study explored how critical inquiries into the current ASR technology that is oriented towards native speech might elicit Global Englishes (GE) awareness among Korean pre-service teachers. Qualitative data gathered from interviews with twenty-Three Korean students in a teacher education programme and their reflective journals revealed their GE awareness regarding ASR issues in ELT. Furthermore, the findings suggested that their GE awareness was influenced by their previous experiences with taking GE-informed courses and English as a lingua franca communication. Finally, these participants would be willing to incorporate GE perspectives into their future ASR-based ELT classes. It is suggested that the inclusion of GE perspectives into ELT courses be considered to encourage L2 students not to entirely conform to NS norms in ELT.

Original languageEnglish
Pages (from-to)435-444
Number of pages10
JournalELT Journal
Issue number4
Publication statusPublished - 1 Oct 2023
Externally publishedYes


  • AI chatbot
  • Global Englishes
  • automatic speech recognition
  • pre-service teachers

ASJC Scopus subject areas

  • Language and Linguistics
  • Education
  • Developmental and Educational Psychology


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