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Journal : Jurnal Pembelajaran Bahasa dan Sastra

Improving Teacher Digital Literacy through Wordwall Training in the Tegalwaru District Teacher Working Group Forum Community Dinihari, Yulian; Sulistyaniningsih, Endang; Putri, Laksita Nirmala; Yulistiana; Ayuardini, Marisha
Jurnal Pembelajaran Bahasa dan Sastra Vol. 4 No. 5 (2025): September 2025
Publisher : Raja Zulkarnain Education Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55909/jpbs.v4i5.905

Abstract

This study aims to describe how teachers' digital literacy improves through training in using Wordwall as an interactive learning medium. The study was conducted in April–May 2025 and involved 20 elementary school teachers participating in the Teacher Working Group Forum Community in Tegalwaru District, Karawang Regency. The approach used was a descriptive, qualitative approach, with data collection through in-depth interviews, observation of training activities, and documentation of teachers' digital work. Data were analyzed using the interactive model of Miles and Huberman, which includes data reduction, data presentation, and conclusion, and triangulation was carried out to ensure the validity of the results. The results showed that Wordwall training improved four aspects of teachers' digital literacy: technical, pedagogical, social-collaborative, and digital ethics. Teachers became more reflective and creative in designing technology-based learning, and showed increased adaptability to digital developments. Despite obstacles such as limited infrastructure, differences in digital skills, and limited time, teachers still showed resilience. They took the initiative to build collaborative networks through the Teacher Working Group Forum community.
Artificial Intelligence-Based Research Trends and Literacy Shifts in Linguistics and Literature Journals: A Systematic Literature Review Pribadi, Rendy; Dinihari, Yulian; Rosdiana, Rina; Wardhani, Ajeng Dinar Wisesa
Jurnal Pembelajaran Bahasa dan Sastra Vol. 4 No. 5 (2025): September 2025
Publisher : Raja Zulkarnain Education Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55909/jpbs.v4i5.907

Abstract

This study aims to map trends in artificial intelligence-based research in linguistics and literature journals in Indonesia and to map the shifts in academic literacy that have emerged due to the use of artificial intelligence technology. The method used is a Systematic Literature Review (SLR). The research sample comprises 67 articles from 40 journals, indexed by Sinta 1–5, for the period 2020–2025. Data were collected using document and observation techniques. The analysis focused on four main aspects: research subjects, research types, the type of artificial intelligence used, and data collection techniques, the most prominent of which are document and questionnaire techniques. The results of the study indicate that trends in AI-based linguistics and literature research in Indonesia are dominated by university- and student-led qualitative research. The most commonly used types of artificial intelligence are ChatGPT, Grammarly, and Elsa Speak. Data collection methods include surveys, tests, and questionnaires. However, shifts in academic literacy are also occurring, requiring strengthening reading and writing literacy so that the use of artificial intelligence remains ethical, reflective, and supports the sustainable development of linguistics and literature.