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Journal : JoEELE

The Shift in Feedback Loops: Exploring Generative AI-Augmented Supervisory Discourse in Indonesian Doctoral Education Nur, Sahril; Sakkir, Geminastiti; Nurfadhilah, Auliyanti Sahril
Journal of Excellence in English Language Education Vol 5, No 2, April (2026): Journal of Excellence in English Language Education
Publisher : Program Studi Pendidikan Bahasa Inggris FBS UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/joeele.v5i2, April.84066

Abstract

This research investigates the transformation of doctoral supervisory discourse from dyadic to triadic interactions through Generative Artificial Intelligence (GenAI) in Indonesia. Utilizing a qualitative case study and Computer-Mediated Discourse Analysis (CMDA) of ten supervisory triads, the study examines how AI-augmented loops influence Scholarly Dignity, well-being, and persistence. By synthesizing the PERMA and HOPE models with the indigenous philosophy, findings reveal that GenAI functions as a "resilience scaffold." It fosters positive emotions and provides diverse cognitive pathways to academic goals, shifting the supervisor’s role toward epistemological mentorship. However, the study identifies risks of voice homogenization and "epistemological hollowing." Consequently, the Resilient Triadic Loop (RTL) model is proposed to harmonize algorithmic efficiency with human wisdom and metacognitive agency. The study concludes that institutional policies must move beyond detection toward a "metacognitive mentorship" framework to ensure the authentic scholarly voice remains central in an automated era.