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Journal : ASEAN Journal of Educational Research and Technology

Exploring Global Research Trends on the Integration of Information Technology in Pragmatic Studies: A Bibliometric Analysis Haristiani, Nuria; Al Husaeni, Dwi Novia; Judiasri, Melia Dewi; Herniwati, H.
ASEAN Journal of Educational Research and Technology Vol 4, No 2 (2025): AJERT: VOLUME 4, ISSUE 2, September 2025
Publisher : Bumi Publikasi Nusantara

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Abstract

This study aims to explore global research trends on information technology integration in pragmatics studies through a bibliometric approach. Data were collected from the Scopus database over the past decade (2015–2024), resulting in 30 documents being analyzed. The analysis included document distribution based on publication type, institutional affiliation, author's country of origin, and keyword mapping using VOSviewer software. The analysis results show that most publications come from the United States, followed by the Russian Federation and the United Kingdom. The most productive institutions are RUDN University and Curtin University. The most dominant document type is scientific journal articles. Based on keyword co-occurrence analysis, three main clusters were identified: (1) technology integration approaches and processes, (2) evidence-based studies in educational and language contexts, and (3) communication applications and learning effectiveness. These findings provide a comprehensive overview of the research landscape in information technology integration in pragmatics and can serve as a strategic reference for academics and practitioners in designing more effective language learning innovations in the digital era.
Bibliometric Mapping of Global Research Trends on Technology Integration in Japanese Language Education Al Husaeni, Dwi Novia; Haristiani, Nuria
ASEAN Journal of Educational Research and Technology Vol 3, No 3 (2024): AJERT: VOLUME 3, ISSUE 3, December 2024
Publisher : Bumi Publikasi Nusantara

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Abstract

This study aims to map global trends in technology integration research in Japanese language learning using a bibliometric approach. Data were collected from the Scopus database and analyzed using VOSviewer to display network visualization, topic evolution, and keyword clusters. The results show a significant increase in publications since 2022, driven by the acceleration of post-pandemic digital transformation. Authors from China, Japan, and Indonesia dominate the contributions, with regional and international collaboration patterns. Keyword analysis identified three main clusters: conceptual approaches, digital learning experiences, and learning system development. Topics such as artificial intelligence, mobile learning, and NLP have become new trends that have been increasingly researched in the past two years. However, research is still limited to higher education and traditional pedagogical approaches. In conclusion, technology research in Japanese language teaching is developing dynamically, but there are still gaps that need to be bridged. The implication is that further research is needed at the elementary-secondary education level, collaborative approaches, and exploration of cutting-edge technologies to create adaptive and sustainable learning systems in the digital era.