Title: Empirical research on technology-enhanced language learning: A systematic review
Authors: Fang Wang, Xiaoquan Pan
Volume: 9
Issue: 6
Pages: 329-334
Publication Date: 2025/06/28
Abstract:
On the basis of the Web of Science database, this paper systematically reviews the empirical research achievements in the field of technology-enhanced language learning from 2015 to 2025. This research review focuses on the applied studies of mainstream technologies in language learning, such as technology-enhanced language learning, mobile-assisted language learning, and virtual/augmented reality (VR/AR).The research results show that: 1) the research directions of technology-enhanced language learning mainly focus on education, computer science, linguistics, humanities and social sciences, behavioral science, etc.; 2) since 2019, the number of published articles has gradually increased, and the number of articles on technology-enhanced language learning reached a peak in 2024, mainly due to the explosive breakthroughs and practical applications of technologies such as generative artificial intelligence; 3) publications on technology-enhanced language learning are mainly distributed in journals such as Computer Assisted Language Learning (CALL), Education and Information Technologies, Language Learning & Technology (LLT), and Interactive Learning Environments, which is attributed to their precise subject positioning and high degree of alignment with the field; and 4) empirical research methods are mainly adopted in the research of technology-enhanced language learning. Future research needs to deepen the integration of "intelligence" and "personalization", expand the paths of human-computer collaborative teaching, and attach importance to the long-term verification of effectiveness and the fairness of technology application. This study provides a multi-dimensional empirical basis for understanding the current situation, challenges, and development trends of technology-enhanced language learning.