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Adam Mudinillah
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Journal International of Lingua and Technology
Published by Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar
ISSN : 2830487     EISSN : 2830456X     DOI : https://doi.org/10.55849/jiltech
Core Subject : Education,
Education Languange, Linguistic, Communication & Media
Journal International of Lingua and Technology is published by Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia. is an international peer reviewed and open access journal in language education. The aim is to publish conceptual and research articles that explore the application of any language in teaching and the everyday experience of language in education. Its scope is international in that it welcomes articles from academics, researchers, graduate students and policy makers. All articles should be in English. The scope of journal: assessment and testing in language learning and education; technology in language learning; language learning media; applied linguistics methodologies and issues; classroom language teaching issues; all language -related learning technologies; culture and power in language education; language curriculum development and implementation; effective methods for language teaching; diversity, multiculturalism and language education; gender, language and higher education; language skills, development, and issues; language learning and identity; literacy, bilingualism and bilingual education; and teacher training, gender and equality in language education.
Arjuna Subject : Umum - Umum
Articles 97 Documents
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Designing Culturally Responsive Language Curricula Muhammadiah, Mas’ud; Chai, Nong; Pao, Chai
Journal International of Lingua and Technology Vol. 3 No. 3 (2024)
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.v3i3.730

Abstract

Language curricula often fail to address the diverse cultural backgrounds of learners, which can impact engagement and the effectiveness of language acquisition. In multicultural learning environments, culturally responsive curricula are essential to creating inclusive education that respects and integrates learners’ unique cultural experiences. This research aims to explore the design and implementation of culturally responsive language curricula that enhance learner engagement and improve language proficiency by aligning educational content with students’ cultural contexts. A qualitative research approach was employed, involving case studies of five educational institutions with diverse student populations. Data were collected through interviews with educators, curriculum developers, and students, as well as through analysis of existing curricula. The study examined how culturally relevant content and teaching methods were incorporated into language courses and evaluated their impact on student motivation, participation, and proficiency. The analysis also identified key strategies for designing culturally responsive curricula. The results indicated that integrating learners’ cultural backgrounds into the curriculum significantly improved engagement and language proficiency. Educators reported higher levels of student participation and motivation when the content reflected learners’ cultural identities and real-life experiences. Additionally, students showed greater retention of language skills when cultural relevance was emphasized in the learning process.  
Innovative Approaches to Assessing Language Proficiency in Digital Learning Environments Suryanti, Suryanti; Sok, Vann; Dara, Sokha
Journal International of Lingua and Technology Vol. 3 No. 3 (2024)
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.v3i3.731

Abstract

The rapid advancement of digital technology has significantly impacted education, including language learning and assessment practices. Traditional methods of language proficiency assessment, which often rely on written tests, are no longer adequate to meet the needs of learners in digital learning environments. The emergence of digital tools and platforms provides new opportunities for more flexible, interactive, and personalized assessments that can capture a holistic picture of language proficiency. This research aims to explore innovative approaches to assessing language proficiency in digital learning environments, with a focus on integrating modern technologies such as artificial intelligence (AI) and machine learning into assessment practices. The study employs a mixed-methods approach, combining qualitative and quantitative data collection through surveys, interviews, and experimental implementation of digital assessment tools. Data is analyzed to evaluate the effectiveness of these tools in accurately assessing different dimensions of language proficiency, including speaking, listening, and writing skills. Results indicate that AI-powered assessments provide real-time feedback, promote learner engagement, and offer a more personalized learning experience. Additionally, digital environments enhance the authenticity of language tasks by simulating real-life communication scenarios. The conclusion of the study suggests that innovative digital approaches offer a more comprehensive and responsive assessment framework, aligning with the evolving needs of modern language learners. Future research should explore further refinement of these tools to ensure their accessibility and effectiveness across diverse learner populations.
Digital Literacy and Wise Language Use in Online Spaces: A Qualitative Study of Online Communities in Indonesia Saputra, Dedi Gunawan; Stanislaus, Surip; Tu, Pham Anh; Husain, Desy Liliani; Setiawati, Rahmi
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.v3i3.814

Abstract

The rapid growth of digital technologies has significantly transformed communication, particularly in online spaces where people engage in diverse forms of interaction. In Indonesia, online communities have become central to shaping public discourse and social norms. However, the increasing reliance on digital platforms raises concerns about digital literacy and the responsible use of language. This study explores the role of digital literacy and wise language use within online communities in Indonesia, focusing on how individuals navigate online interactions and the implications of their language practices. The aim of this research is to examine how members of online communities in Indonesia exhibit digital literacy and how they incorporate wise language use in their interactions. A qualitative research design, utilizing semi-structured interviews and content analysis of online communication, was employed to collect data from members of various online communities. The results revealed that while most participants demonstrated strong digital literacy skills, there was a notable variance in the application of wise language use. Some members employed respectful and thoughtful language, while others exhibited aggressive or harmful communication. In conclusion, this study highlights the importance of fostering both digital literacy and wise language use to improve the quality of online interactions. Recommendations for promoting these skills in online communities are discussed.
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.
Usability and User Experience Analysis of Language Learning Applications with Augmented Reality Technology Hendrawan, Satya Arisena; Putra, Haris Satria; Loebis, Iin Almeina; Fitriyasari, Maliatul; Basri, Hasan
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.v4i1.819

Abstract

The integration of Augmented Reality (AR) technology into language learning applications has become increasingly popular due to its potential to enhance user engagement and improve learning outcomes. However, the usability and user experience (UX) of such applications are critical factors that determine their effectiveness. This study explores the usability and UX of language learning applications utilizing AR technology, aiming to evaluate how these applications meet the needs and preferences of users, and how they influence learning efficiency. The research adopts a mixed-methods approach, combining quantitative surveys and qualitative interviews with users who have engaged with AR-based language learning applications. Participants were asked to assess the usability aspects, such as ease of navigation, user interface design, and responsiveness, as well as their overall experience and satisfaction. The results show that users generally find AR-based language learning applications engaging and enjoyable, particularly for vocabulary acquisition and interactive learning activities. However, challenges related to technical issues, such as device compatibility and software glitches, were identified as barriers to a seamless experience. The study concludes that while AR has the potential to revolutionize language learning, further improvements in application stability, content design, and personalization are necessary to optimize usability and user satisfaction.
Natural Language-Based Interface Design for Early Childhood Education Applications: A Case Study of English Language Learning Agustina, Ika; Rahman, Rashid; Fariq, Aiman
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.v4i1.820

Abstract

The design of user interfaces for early childhood education applications plays a crucial role in facilitating effective learning experiences. With the rise of digital technologies, natural language interfaces have become an essential tool, particularly in language learning applications for young children. However, there remains a gap in understanding how to design natural language interfaces that are both engaging and educational for early learners. This study focuses on the design and evaluation of a natural language-based interface for an English language learning application aimed at children aged 4 to 7. The primary objective is to explore how a conversational, child-friendly interface can enhance language acquisition while ensuring usability and engagement. The research employs a design-based approach, involving iterative prototyping and testing with a group of 30 preschool children. The interface incorporates voice recognition and conversational AI to facilitate interactive learning. User feedback and performance data were analyzed to assess usability, engagement, and learning outcomes. The results indicate that children responded positively to the natural language interface, with improved engagement and retention in language learning tasks. The intuitive design and conversational elements were found to be particularly effective in maintaining attention and enhancing comprehension. This study highlights the potential of natural language interfaces in early childhood education, demonstrating that well-designed interfaces can significantly contribute to language learning in young children.
Building Bridges Between Languages with Generative AI: A Study on Zero-Shot Machine Translation and its Implications for Global Communication Yazidus, Muhammad; Farah, Rina; Huda, Nurul
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.v4i1.825

Abstract

The increasing need for cross-lingual communication in a globalized world has driven innovations in machine translation, with the aim of breaking down language barriers. Traditional machine translation models rely on large parallel corpora for training, but zero-shot machine translation (MT) offers a promising alternative by enabling translation between language pairs without requiring direct training data. This study explores the potential of generative AI in zero-shot MT, focusing on its ability to bridge languages with minimal linguistic resources. The research aims to evaluate the effectiveness of zero-shot MT using generative AI models in translating between languages that lack extensive parallel corpora. The study uses a comparative approach, assessing the performance of generative AI models against traditional MT systems on several language pairs, particularly focusing on low-resource languages. The results show that generative AI-based zero-shot models can produce high-quality translations across multiple languages, even those with limited or no parallel data. The findings suggest that zero-shot MT has the potential to revolutionize global communication by offering a scalable, efficient solution for languages with insufficient resources. This research concludes that generative AI's ability to perform zero-shot machine translation has significant implications for improving cross-cultural communication and expanding access to information, with important applications in education, business, and diplomacy.
Mapping Language in the Brain with AI: A Study on Semantic and Syntactic Representation in Neural Models and Human Brain Activity Mubasyiroh, Mubasyiroh; Tan, Ethan; Ng, Isabel
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.v4i1.826

Abstract

Understanding how the human brain processes language has been a long-standing challenge in neuroscience and cognitive science. Recent advancements in artificial intelligence (AI), particularly in neural networks, have opened new avenues for investigating the representation of language in the brain. This study explores the relationship between semantic and syntactic representations in neural models and human brain activity. By comparing how deep learning models and the human brain process linguistic structures, this research seeks to bridge the gap between computational models and biological systems. The research aims to analyze the similarities and differences in how neural models and the human brain represent syntactic and semantic information. Using functional magnetic resonance imaging (fMRI) data from brain activity during language processing tasks, and applying AI models trained on large language datasets, this study investigates the neural correlates of syntax and semantics. The results show that certain regions of the brain correspond to the syntactic structures processed by AI models, while others align more closely with semantic representations. The neural network models exhibited high correspondence with brain activity patterns, particularly in tasks involving sentence structure and meaning comprehension. This study concludes that AI models can be used to enhance our understanding of how language is represented in the brain, offering valuable insights into both neuroscience and artificial intelligence.
Revitalizing Regional Languages with Technology: Development of AI and Gamification-Based Language Learning Applications Firdaus, Muhammad Ridwan; Wahyuni, Erna; Khan, Jamil; Zahir, Roya
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.v4i1.828

Abstract

The rapid decline of regional languages poses a significant challenge to cultural preservation and linguistic diversity. As globalization and digitalization continue to spread, regional languages are at risk of being overshadowed by dominant languages. This research explores the potential of technology, particularly artificial intelligence (AI) and gamification, to revitalize regional languages by enhancing language learning applications. The study aims to develop and evaluate an AI-driven, gamified language learning application designed to promote the acquisition and preservation of regional languages. The research employs a mixed-methods approach, combining the development of the language learning application with usability testing and user feedback. The application integrates AI to provide personalized learning experiences and uses gamification elements to increase engagement and motivation. The effectiveness of the application was tested through pilot studies with users from different age groups, focusing on language retention, engagement, and user satisfaction. The results show that the AI and gamification-based application significantly improved language retention and engagement among participants. Users reported higher motivation and enjoyment compared to traditional language learning methods, and the application was particularly effective in making learning more interactive and appealing for younger audiences. This study concludes that integrating AI and gamification into language learning applications can play a pivotal role in revitalizing regional languages, providing a scalable and engaging solution for preserving linguistic heritage.
Developing A Basic Grammar Teaching Skills Guide Using Aspiring Suite (Ispring Suite) at Nurul Yaqin Institute, Batu Ateh Datar Wahyuni, Sisri; Aisyah, Devy
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.v4i1.930

Abstract

The purpose of this study was to provide the need, feasibility and practicality of the Ispring Suite-assisted Teaching Skills Guidebook to Improve Professional Teachers of Nurul Yaqin Islamic Boarding School in Batipuh Ateh Tanah Datar. The research method to be applied in this study is the 4D research and development (R&D) model, which involves four stages, namely define, design, develop, and disseminate. This research focuses on the first three stages, namely define, design, and develop. The participants in this study were nine Arabic language subject teachers using the yellow book at Pondok Pesantren Nurul Yaqin Nurul Yaqin Batipuh Ateh Tanah Datar. Data collection was carried out through validity sheets and practicality sheets as research instruments. The result of the research is that the basic guide material for teaching Arabic using iSpring Suite is Very Effective to use.

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