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AI, PEERS, AND SUPERVISORS: EPISTEMIC AUTHORITY IN POSTGRADUATE SUPERVISION Antonius Setyawan Sugeng Nur Agung; Monika Widyastuti Surtikanti; Masfa Maiza; Doni Alfaruqy; Imam Baihaqi; Rizki Ramadhan; Daniel Jesayanto Jaya; Diana Zulita
Journal of English Educational Study (JEES) Vol 9, No 1 (2026): May Edition
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jees.v9i1.6211

Abstract

The integration of generative artificial intelligence into higher education has transformed the ways postgraduate students begin and advance their academic work. However, few studies have explored how AI influences epistemic authority in the development of thesis proposals. This study examines how postgraduate students establish and prioritize AI, peers, and supervisors as epistemic authorities within an AI-mediated academic environment. Using a qualitative interpretative methodology, we gathered data from 105 graduate students through questionnaires and semi-structured interviews. Reflexive thematic analysis unveiled a stratified epistemic hierarchy. AI was seen as an important authority because it could help people think more clearly and generate new ideas, but it had to be checked. Peers acted as relational authorities, giving emotional support and dialogic assistance. Supervisors maintained the highest epistemic status as institutional authorities owing to their evaluative authority, responsibility, and symbolic capital within academic frameworks. AI reduced uncertainty and increased perceived control in the early stages of proposal creation, without undermining supervisory legitimacy. Authority remained grounded in institutional acknowledgment rather than in the rapid dissemination of knowledge. The findings enhance AI-in-education studies by shifting the emphasis from usage frequency to authority configuration, offering insights for AI governance and postgraduate supervision.
ANALISIS PERAN REFERENCING MANAGER SOFTWARE TERHADAP KUALITAS SINTAKSIS DAN PENGELOLAAN REFERENSI DALAM PENULISAN KARYA ILMIAH Rizki Ramadhan; Firsty Gracia Vitacheria
JUTECH : Journal Education and Technology Vol 6, No 2 (2025): JUTECH DESEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v6i2.6014

Abstract

Rendahnya kualitas sitasi dan kesalahan sintaksis masih sering ditemukan dalam karya ilmiah ilmuwan, menunjukkan ringkasan antara standar penulisan ilmiah dan praktik di lapangan. Meskipun perangkat lunak manajer referensi seperti Mendeley, Zotero, dan EndNote digunakan untuk meningkatkan akurasi pengelolaan referensi, penelitian sebelumnya umumnya fokus pada aspek teknis dan efisiensi, sementara implementasinya terhadap kualitas sintaksis penulisan akademik masih terbatas. Penelitian ini bertujuan menganalisis peran software manajer referensi dalam meningkatkan akurasi sitasi serta dampaknya terhadap kualitas sintaksis dan koherensi karya ilmiah. Penelitian ini menggunakan pendekatan deskriptif kualitatif melalui observasi literatur terhadap artikel jurnal Scopus Q1 periode 2021–2024 yang dilengkapi dengan wawancara dan observasi terhadap murid lintas disiplin. Data dianalisis menggunakan analisis tematik. Hasil penelitian menunjukkan bahwa penggunaan software reference manager meningkatkan konsistensi situs dan mengurangi kesalahan teknis, sekaligus memungkinkan penulis lebih fokus pada struktur kalimat dan alur argumentasi. Temuan ini menegaskan kontribusi perangkat lunak tersebut terhadap peningkatan kualitas penulisan akademik.