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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 13 Documents
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Search results for , issue "Vol. 3 No. 3 (2024)" : 13 Documents clear
Adaptive Assessment Tools for Language Learners: A Review of Current Technologies Cahyati, Sri Supiah; Iqbal, Kiran; Malik, Fatima
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.v3i3.781

Abstract

In language education, adaptive assessment tools have emerged as valuable resources to address the diverse proficiency levels and learning needs of students. Traditional assessment methods often fail to capture the full range of learners’ skills, limiting personalized feedback and targeted support. Adaptive assessment technologies offer a solution by tailoring test content in real-time based on individual responses, providing a more accurate and dynamic measure of language proficiency. This research aims to review current adaptive assessment technologies in language education, examining their functionalities, benefits, and limitations. A comprehensive literature review was conducted, analyzing recent studies and technology reports on various adaptive assessment tools used in language learning. The research focuses on key features such as real-time adaptability, personalized feedback, and skill-specific assessments. The tools reviewed include applications designed for different language skills, such as reading, writing, listening, and speaking, and their effectiveness was evaluated based on learner engagement, accuracy, and pedagogical value. Findings indicate that adaptive assessment tools improve learner motivation and engagement by adjusting the difficulty level to match individual abilities. Additionally, these tools provide more targeted insights for educators, enabling personalized instruction. However, challenges remain, including the high cost of implementation and the need for technical training for educators. These findings highlight the potential of adaptive assessments to enhance language learning but underscore the need for further development to make them more accessible. This review concludes that adaptive assessment tools are transformative in language education, though efforts are needed to address cost and accessibility challenges. Further research should focus on refining these tools and exploring their long-term impact on language proficiency.
Language and Identity in the Digital Age: Discourse Analysis of Online Communities Based on Regional Languages Evizariza, Evizariza; Na, Li; Wei, Sun
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.v3i3.813

Abstract

Humans are social creatures who cannot live alone. This requires a language that unites one individual with another, group with group, or individual with group. Language is an important component in a person's identity. Language is not only a means of communication, delivering messages, or even jokes. The influence of digital can create online communication. The purpose of this study is to find out how regional languages are used in online communities that affect the identity of their users. Through an analytical approach and literature study, researchers collected information from various journals or related articles. The results of the study show that regional languages can strengthen the identity of a region and its individuals. In addition, it also creates space for social solidarity and strengthening language communities. The results of this study in the form of a community of regional languages will revive regional languages that have faded. The existence of a new spirit in creativity in developing regional languages as local cultures will be able to reduce the rate of extinction of regional languages. Many regions have reused regional languages as everyday languages and are combined in learning. The conclusion of this study, a strong desire is needed to increase the protection of diverse cultures in Indonesia. 700 languages that must continue to be pursued in cultural defense. We need a young generation that is not embarrassed to use regional languages in everyday life.
Automatic Identification of Authors’ Writing Style with Computer-Based Stylometry Methods: A Case Study on Indonesian Literary Texts Syamsiah, Nur; Myint, Aung; Lin, Tun
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.v3i3.816

Abstract

The study of authors’ writing styles has long been a significant area of research in literary studies and forensic linguistics. In recent years, the advancement of computational methods has led to the development of automatic stylometry techniques, which can identify and analyze unique features of an author’s writing style. This research aims to apply computer-based stylometry methods to the identification of authors’ writing styles in Indonesian literary texts, a field that has not been extensively explored. By leveraging these methods, the study seeks to explore the potential of automated tools in distinguishing between authors based on their stylistic markers, such as vocabulary choice, sentence structure, and punctuation usage. The research utilizes stylometry techniques, including machine learning algorithms and text mining, to analyze a corpus of Indonesian literary texts. These methods allow for the extraction of distinct stylistic features from the texts, which are then used to classify and differentiate between authors. The results show that machine learning models, particularly those utilizing n-grams and frequency analysis, can accurately distinguish between authors with high precision. The study concludes that computer-based stylometry offers a promising approach for analyzing Indonesian literary texts and can be used effectively in authorship attribution. This method provides valuable insights into the unique stylistic signatures of authors and can aid in the study of literary history and forensic analysis.

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