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All Journal Al-Hijr: Journal of Adulearn World Journal International of Lingua and Technology
Som, Rit
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Computer Science & IT Education Languange, Linguistic, Communication & Media Other

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Development of Gamification-Based Smart Education Platforms to Increase Student Involvement Syarif, Afwan; Som, Rit; Pao, Chai
Al-Hijr: Journal of Adulearn World 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/alhijr.v4i1.846

Abstract

The integration of technology into education has led to innovative teaching methods aimed at enhancing student engagement and participation. One such method is gamification, which leverages game mechanics to make learning more interactive and motivating. However, traditional educational models often fail to fully engage students, resulting in disengagement and suboptimal learning outcomes. This study aims to develop a gamification-based smart education platform designed to increase student involvement by integrating game elements into the learning process. The primary objective is to assess the effectiveness of gamification in enhancing student engagement, learning outcomes, and overall classroom participation. A mixed-methods approach was used, combining both qualitative and quantitative data collection methods. The research involved the design, development, and implementation of a smart education platform that incorporated elements such as points, badges, leaderboards, and challenges. Data was gathered from 200 students across various disciplines, and engagement metrics, academic performance, and student feedback were analyzed. The results showed a significant increase in student involvement and motivation, with notable improvements in academic performance and class participation. Students reported a higher level of enjoyment and interaction with the platform, indicating that gamification enhanced their learning experience. This study concludes that gamification-based smart education platforms are an effective tool for increasing student engagement and improving learning outcomes, offering a promising approach for modern educational environments.
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.
Co-Authors Abar, Reza Oktiana Afwan Syarif Pakaja, Marina Pao, Chai Pong, Ming Sari, Hindri Febri Ana