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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.
The Future of Adaptive Learning Systems in Education Siswanti, Tri; Chai, Napat; Som, Rit
Journal International Inspire Education 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/jiiet.v4i1.792

Abstract

The rapid advancement of artificial intelligence (AI) and data-driven technologies has revolutionized education, paving the way for adaptive learning systems that personalize instruction based on individual learner needs. Traditional one-size-fits-all teaching methods often fail to accommodate diverse learning paces, styles, and abilities, necessitating more dynamic and responsive educational solutions. Adaptive learning systems leverage AI algorithms, real-time analytics, and machine learning to deliver customized learning experiences, enhancing student engagement and knowledge retention. This study aims to evaluate the effectiveness and future potential of adaptive learning technologies in education by analyzing their impact on learner outcomes, engagement, and instructional efficiency. A mixed-methods research approach was employed, integrating experimental assessments, student surveys, and instructor interviews across various educational institutions. Findings indicate that adaptive learning systems significantly improve student performance by tailoring instructional content, providing real-time feedback, and optimizing learning pathways. Statistical analysis revealed strong correlations between adaptive learning features and enhanced academic achievement. The study concludes that adaptive learning will play a transformative role in the future of education, requiring continuous refinement, ethical considerations, and policy development for broader implementation. Future research should explore long-term impacts and best practices for integrating AI-driven education across diverse learning environments.
Enhancing Artistic and Creative Development in Early Childhood through Loose Parts Play Kaenah, Kenah; Utami, Sri Yulia; Muawwanah, Uyu; Som, Rit
Journal of Early Childhood Education and Teaching (JECET) Vol. 1 No. 2 (2025): Journal of Early Childhood Education and Teaching
Publisher : CV Berkah Syahdin Trust

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64840/jecet.v1i2.38

Abstract

Purpose – This study aims to explore the use of loose parts play as a medium to enhance creativity and artistic expression in early childhood. It focuses on how age-appropriate arrangement of loose part materials can foster children's imagination, engagement, and enjoyment in learning activities.Design/methods/approach – This research adopts a qualitative descriptive method involving observations and documentation of early childhood learning activities that integrate loose part media. The study was conducted on a group of early childhood learners to observe how their responses and creative outputs were influenced by the use of open-ended, non-structured materials during play.Findings – The results indicate that learning through loose parts significantly increases children’s enthusiasm and curiosity, transforming learning experiences from monotonous routines into engaging and imaginative explorations. The children showed improved creative thinking, imagination, and ease in understanding concepts through interactive and free-form learning activities.Research implications/Limitations – The study was limited to observation-based analysis without extended experimental measurement of long-term creative development. Further research is recommended to examine the impact of loose part media on specific domains of creativity and cognitive skills in early learners using more systematic assessments.Originality/value – This study contributes to the field of early childhood education by presenting loose part play as an innovative, flexible, and child-centered learning medium that enhances creativity and engagement. It offers practical insights for educators seeking to replace conventional, less stimulating materials with more dynamic and exploratory tools.