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p-Index From 2021 - 2026
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This Author published in this journals
All Journal ELS Journal On Interdisciplinary Studies in Humanities EDUTREND: Journal of Emerging Issues and Trends in Education
Nurhadi Hamka
Universitas Khairun, Ternate, Indonesia
Education Languange, Linguistic, Communication & Media Social Sciences Other

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The Preservation of Bugis Language in Sinjai City: A Sociolinguistic Perspective Nurhadi Hamka; Nurul Imansari; La Ode Achmad Suherman
ELS Journal on Interdisciplinary Studies in Humanities Vol. 7 No. 1 (2024): MARCH
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34050/elsjish.v7i1.34115

Abstract

The Bugis language, belonging to the Austronesian family, serves as a crucial element of cultural identity and heritage for the Bugis ethnic group in Indonesia, particularly in Sinjai City. However, like many indigenous languages, Bugis faces challenges in preservation due to socio-cultural factors. This research delves into preservation efforts and sociolinguistic dynamics surrounding the Bugis language since 2000, aiming to provide insights for stakeholders. Drawing on qualitative methods, including semi-structured interviews and ethnographic observations, this study aims to explore the motivations driving preservation efforts, investigate the role of education, examine socio-cultural factors influencing language use, and assess the effectiveness of existing preservation strategies. Findings reveal that cultural identity maintenance, intergenerational transmission, and the desire to safeguard linguistic diversity are primary motivations. Education emerges as pivotal, though hindered by the dominance of Bahasa Indonesia and limited institutional support. Socio-cultural factors like urbanization, migration, media influence, and linguistic stigma further challenge preservation. Strengths of current strategies include community engagement and cultural affirmation, while limitations include lack of support and linguistic stigma. Recommendations for augmenting preservation efforts include advocating for policy reforms, community empowerment, digital resources, and promoting multilingualism. Ultimately, preserving the Bugis language entails a holistic approach that honors cultural diversity and empowers the Bugis community.
Exercising Professional Judgment in AI-Assisted Assessment: Selective Mediation of AI-Generated Evaluation by English Lecturers Nurhadi Hamka; Akmal Jaya; Ikmal Muhammad; Nur Fajrhi; Nursastri Nurdin; Dhini Yustia Widhyah Saputri
EDUTREND: Journal of Emerging Issues and Trends in Education Vol. 3 No. 3 (2026): EDUTREND: Journal of Emerging Issues and Trends in Education
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/edutrend.1033

Abstract

This qualitative case study examines how English lecturers exercise professional judgment when generative artificial intelligence (GenAI) is introduced into student writing assessment and feedback. Ten English lecturers at Universitas Khairun participated, producing 30 documented judgment episodes across three student writing samples. Each episode linked an initial lecturer assessment, AI-generated information from ChatGPT, Claude, or Gemini, and a final judgment. Data from assessment records, follow-up interviews, student texts, AI-generated outputs, and contextual documents were examined through within-episode and cross-episode thematic analysis. The findings show that AI did not move lecturers' scores in a single direction. Rather, it prompted them to retain, lower, or raise initial judgments after reconsidering the evidence. Lecturers evaluated AI output in relation to construct alignment, evidentiary weight, learner needs, task purpose, local context, and feedback usability. Professional agency was evident in how they determined which parts of the AI output could influence the final assessment. The study describes this process as selective evaluative mediation and argues that GenAI introduces a second object of professional judgment: lecturers judge not only student performance but also the relevance, usability, and authority of AI-generated interpretations of that performance.
Co-Authors Akmal Jaya Dhini Yustia Widhyah Saputri Ikmal Muhammad Nur Fajrhi Nursastri Nurdin Nurul Imansari Suherman, La Ode Achmad