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Digital Resurrection: Ai’s Role In Revitalizing Endangered Languages And The Question Of Linguistic Data Sovereignty Shaumiwaty, Shaumiwaty; Razak, Faisal; Al-Naimi, Khalid
Journal of Humanities Research Sustainability Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i5.2668

Abstract

Background. The rapid advancement of artificial intelligence (AI) has opened new possibilities for the revitalization of endangered languages, offering tools for documentation, translation, and intergenerational transmission. However, these technological interventions raise ethical and epistemological concerns about linguistic data sovereignty the right of communities to control how their languages are represented, stored, and utilized in digital systems. Purpose. The study investigates how AI-driven language technologies contribute to both the preservation and commodification of endangered languages, examining the tension between technological innovation and cultural autonomy. The objective is to critically analyze the dual role of AI as a facilitator of linguistic resilience and as a potential vector of digital colonialism. Method. A qualitative mixed-method approach was employed, combining digital ethnography, policy analysis, and interviews with linguists, AI developers, and indigenous language activists. Data were gathered from five AI-based revitalization projects across Oceania, Africa, and North America, focusing on the implementation of machine learning models for speech recognition, corpus generation, and automated translation. Results. The findings reveal that while AI enables large-scale linguistic preservation through automation and accessibility, it also risks undermining community ownership by centralizing control of linguistic datasets within corporate or academic infrastructures. Projects that integrate community-led design and ethical data governance demonstrate higher sustainability and cultural authenticity. Conclusion. The study concludes that digital resurrection of endangered languages requires a framework grounded in data justice and participatory co-creation. AI must function not as an external savior but as a collaborative epistemic ally that empowers linguistic communities to reclaim agency in defining their digital futures.
Phonological Variation and Social Stratification: Evidence from Urban Speech Communities Shaumiwaty, Shaumiwaty; Tsereteli, Nino; Ceesay, Aminata
Journal of Humanities Research Sustainability Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v3i1.3175

Abstract

Background. Phonological variation is a crucial aspect of sociolinguistics, reflecting social hierarchies, identities, and group affiliations within speech communities. Urban areas, characterized by diverse populations and socio-economic stratification, provide an ideal context for studying how phonological features correlate with social class, ethnicity, and other social variables. Understanding the relationship between phonological variation and social stratification offers valuable insights into the complex dynamics of language use in multicultural and urban settings. Purpose. This study aims to explore how phonological variation manifests in urban speech communities and its connection to social stratification. By examining specific phonological features and their distribution across different social groups, the research seeks to uncover patterns of linguistic differentiation and their relationship to social factors such as class, education, and ethnicity. Method. A mixed-methods approach is employed, combining quantitative acoustic analysis of speech samples with qualitative interviews from a range of socio-economic groups in an urban area. Data was collected from spontaneous conversations, interviews, and public speeches to ensure a broad representation of speech patterns. Results. The study reveals significant phonological variation across social strata, with certain phonetic features strongly correlating with higher social status and education levels. Variations in vowel and consonant pronunciation were notably influenced by social class and ethnic background. Conclusion. This research highlights the role of phonological variation in signaling social identity and reinforces the connection between language and social stratification in urban settings.
Strengthening Elementary School Teachers’ Digital Competence through AI-Based Instructional Design Training in Indonesia’s 3T Regions Hanafiah, Hanafiah; Sudrajat, Didi; Shaumiwaty, Shaumiwaty; Shaulita, Rizkia; Pradana, Pascalian Hadi
International Journal of Community Service (IJCS) Vol. 5 No. 1 (2026): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijcs.v5i1.1852

Abstract

This quantitative study investigates the effectiveness of an artificial intelligence (AI)-based instructional design training program in strengthening the digital competence of elementary school teachers in Indonesia’s frontier, outermost, and underdeveloped (3T) regions. Education quality and access in 3T regions remain constrained by geographical isolation, limited infrastructure, and uneven professional development opportunities for teachers. Building on the European Digital Competence Framework for Educators (DigCompEdu) and its six areas of educator digital competence, the study designed a structured training program that introduced teachers to generative AI tools for lesson planning, resource development, and assessment. A one-group pretest–posttest design was implemented with 120 elementary school teachers from several 3T districts. Data were collected using a Likert-scale digital competence questionnaire adapted from DigCompEdu and analyzed with descriptive statistics and paired-sample t-tests. Findings show statistically significant improvements in teachers’ overall digital competence scores across all six DigCompEdu areas, with the largest gains in “Teaching and learning” and “Facilitating learners’ digital competence.” The results indicate that contextually grounded AI-based instructional design training can be an effective strategy to narrow digital competence gaps between teachers in peripheral and non-peripheral regions. Implications for policy, teacher professional development, and further research on AI-supported pedagogy in disadvantaged contexts are discussed.
MOBILE-ASSISTED LANGUAGE LEARNING (MALL) FOR ENGLISH LEARNERS: AN INVESTIGATION OF ITS IMPACT ON VOCABULARY ACQUISITION Shaumiwaty, Shaumiwaty; Smith, James; Taylor, Lucy
Journal International of Lingua and Technology Vol. 5 No. 2 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v5i2.1215

Abstract

Mobile technologies have become increasingly integrated into educational contexts, offering new opportunities for language learning beyond traditional classroom boundaries. In English language education, vocabulary acquisition remains a fundamental yet persistent challenge, particularly when learning opportunities are limited to formal instructional settings. Mobile-Assisted Language Learning (MALL) has emerged as a promising approach that enables flexible, repeated, and learner-centered vocabulary practice through mobile devices. This study aims to investigate the impact of MALL on vocabulary acquisition among English learners. A quasi-experimental research design was employed, involving an experimental group using mobile-based vocabulary learning applications and a control group receiving conventional vocabulary instruction. Data were collected through standardized pretest and posttest vocabulary assessments and supported by learning activity records. Statistical analyses were conducted to examine differences in vocabulary gains between groups. The results indicate that learners who engaged in MALL achieved significantly higher vocabulary gains than those in the control group. The findings also reveal that consistent engagement with mobile learning activities contributed to more stable and sustained vocabulary development. The study concludes that MALL is an effective instructional approach for enhancing vocabulary acquisition in English language learning contexts. Integrating mobile-assisted vocabulary learning into instructional practices can support improved learning outcomes and provide learners with greater autonomy and access to language input.
PELATIHAN MEMBANGUN NARASI BRAND UMKM MELALUI STRATEGI DIGITAL STORYTELLING Elizabeth, Elizabeth; Tengku Kespandiar; Shaumiwaty, Shaumiwaty; Hermin Nainggolan; Henky Hendrawan
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 12 (2026): Mei 2026
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: Kegiatan pengabdian kepada masyarakat ini dalam bentuk pelatihan yang bertujuan memberikan pelatihan membangun narasi brand usaha mikro, kecil, dan menengah (UMKM) melalui strategi digital storytelling. Dalam menunjang kegiatan pelatihan dari pengabdian kepada masyarakat ini maka digunakan data sekunder untuk mendukung pemaparan dan bahan materi pelatihan. Hasil pelatihan ini berjalan lancar dan mendalam karena pelatihan ini sangat relevan di era digital, konsumen tidak hanya membeli produk, tetapi membeli narasi brand dan nilai di balik produk yang dijual pelaku usaha mikro, kecil, dan menengah (UMKM). Strategi digital storytelling yang bisa dilakukan pelaku usaha mikro, kecil, dan menengah (UMKM) dalam membangun narasi brand usaha mikro, kecil, dan menengah (UMKM) yaitu menemukan akar cerita, struktur narasi storytelling yang menarik, strategi digital, teknik visual storytelling, dan melibatkan konsumen.
Mobile-assisted phonological training: Improving Indonesian EFL students’ intelligibility in academic communication Shaumiwaty, Shaumiwaty; Daulay, Sholihatul Hamidah; Rakhmita, Yunie Amalia; Dardanila, Dardanila
JEELS (Journal of English Education and Linguistics Studies) Vol. 13 No. 2 (2026): JEELS November 2026
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil, Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/jeels.v13i2.7243

Abstract

The growing demand for digital-based education in the 21st century highlights the need for innovative pronunciation teaching that supports clearer and more accessible academic English. Thus, this study investigated the effectiveness of mobile-assisted audio training in improving Indonesian EFL students' speech intelligibility in academic communication. Using a quasi-experimental pretest-posttest control group design, the study involved 60 twelfth grade students at SMA Negeri 1 Aceh Besar, equally divided into an experimental group and a control group. The experimental group received mobile-based audio training, while the control group received traditional pronunciation training. Data were collected through speech intelligibility tests, pronunciation accuracy rubrics and student perception questionnaires. Statistical analyzes including descriptive statistics, paired samples t-test, independent samples t-test and ANCOVA were performed using SPSS. The findings revealed a significant improvement in the intelligibility scores of the experimental group compared to the control group. In addition, the questionnaire results indicated that students in the experimental group reported higher levels of motivation, engagement, and positive perceptions toward mobile-assisted phonological training compared to the control group. The study emphasizes the pedagogical potential of integrating mobile technology into EFL pronunciation teaching in Indonesian secondary schools.