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Development of an Indonesian-English Parallel Corpus for Translation and Comparative Linguistics Research Pakaja, Marina; Pong, Ming; Som, Rit; Sari, Hindri Febri Ana
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
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.v4i1.817

Abstract

The development of parallel corpora plays a crucial role in the fields of translation studies, computational linguistics, and comparative linguistics. While significant parallel corpora have been developed for major languages like English, the availability of such resources for Indonesian-English translation research remains limited. This study aims to develop a comprehensive Indonesian-English parallel corpus, specifically designed to aid translation research and enhance linguistic comparisons between these two languages. The corpus is intended to serve as a foundational resource for further studies on machine translation, linguistic patterns, and cross-linguistic influence. The research adopts a corpus-driven methodology, where the corpus is compiled from diverse sources, including literary texts, news articles, academic papers, and everyday discourse, to ensure a broad representation of language use. The corpus is annotated for both syntax and semantics, with a focus on aligning sentence structures and identifying key linguistic features in both languages. The analysis of the corpus reveals significant differences and similarities in sentence structure, word order, and translation equivalence between Indonesian and English. The findings highlight the potential of the corpus to facilitate various types of linguistic research and translation studies. It serves as a valuable tool for enhancing the quality of machine translation systems and provides insights into the challenges of translating between Indonesian and English.
AI-Driven Feedback Systems for Formative Assessment: Toward Personalized and Real-Time Pedagogy Abar, Reza Oktiana; Pong, Ming; Som, Rit
Al-Hijr: Journal of Adulearn World Vol. 4 No. 2 (2025)
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/alhijr.v4i2.984

Abstract

The provision of timely and personalized formative feedback is a cornerstone of effective pedagogy, yet it remains a significant challenge in conventional classroom settings due to large class sizes and time constraints. AI-driven feedback systems offer a scalable solution to this long-standing pedagogical problem. This study aimed to evaluate the impact of a real-time, AI-driven feedback system on students’ academic performance, error correction, and development of self-regulation skills during formative assessment tasks. A quasi-experimental study was conducted with 90 undergraduate students. The intervention group (n=45) received instant, personalized feedback from an AI system on their assignments, while the control group (n=45) received traditional, delayed feedback from instructors. Performance was measured by assignment scores and error reduction rates. The intervention group demonstrated significantly higher improvement in assignment scores and a faster rate of error correction compared to the control group. Furthermore, qualitative analysis of student reflections indicated enhanced self-regulation and metacognitive awareness among students using the AI system. AI-driven feedback systems are powerful tools that enhance formative assessment by providing personalized, real-time pedagogical support. This approach not only improves academic performance but also fosters crucial self-regulation skills for lifelong learning.
Vicarious Trauma in Natural Disaster Volunteers Gito Febrian, Gito; Wahidah Fitriani; Putri Yeni; Pong, Ming; Kiri, Ming
Darussalam: Journal of Psychology and Educational Vol. 4 No. 2 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/djpe.v4i2.213

Abstract

Natural disasters have a significant impact on the psychological well-being of volunteers involved in post-disaster management and recovery processes . This research examines the phenomenon of vicarious trauma experienced by natural disaster volunteers, identifying symptoms such as excessive anxiety, depression, sleep disorders, and physical symptoms including chronic fatigue and headaches. Factors that influence the level of vicarious trauma include social support, previous trauma experiences, coping strategies , and resilience , as well as organizational factors such as supervisory support and workload. This research also highlights the importance of self-care strategies , social support, training, and supportive organizational approaches in overcoming vicarious trauma. Consistent implementation of these strategies can support volunteers' psychological well-being and increase the overall effectiveness of disaster relief.