Linguistic Ownership Displacement and Professional Voice Vulnerability in Artificial Intelligence Mediated English for Specific Purposes Ecosystems

Authors

  • Elda Martha Suri Universitas Ekasakti Padang
  • Windry Novalia Jufri Universitas Negeri Padang
  • Salsabila Lianita Universitas Ekasakti Padang

DOI:

https://doi.org/10.55927/jeda.v5i3.35

Keywords:

Artificial Intelligence, English For Specific Purposes, Linguistic Ownership, Professional Voice, Critical AI Literacy

Abstract

The integration of artificial intelligence in English for Specific Purposes (ESP) accelerates the production of academic and professional texts, but also raises issues of linguistic ownership and professional voice authenticity. This study aims to analyze the effect of AI use intensity on linguistic ownership displacement and its impact on professional voice vulnerability. This study used a quantitative approach with an explanatory survey design. Data were collected through questionnaires distributed to 120 ESP students and Lecturerss, then analyzed using descriptive statistics, correlation tests, linear regression, and mediation analysis. The results show that high AI use increases linguistic ownership displacement, which subsequently strengthens professional voice vulnerability in terms of originality, authority, and language confidence. This study confirms the importance of critical AI literacy in ESP learning.

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Published

2026-08-31

How to Cite

Elda Martha Suri, Windry Novalia Jufri, & Salsabila Lianita. (2026). Linguistic Ownership Displacement and Professional Voice Vulnerability in Artificial Intelligence Mediated English for Specific Purposes Ecosystems. Journal of Educational Analytics, 5(3), 664–683. https://doi.org/10.55927/jeda.v5i3.35

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Section

Articles