The rise of artificial intelligence (AI) has significantly impacted education, yet few scholars have explored AI-assisted classrooms, particularly in language education in China. Understanding the roles of classroom climate, AI literacy, and resilience is essential, as these factors foster positive learning environments and enhance student…

While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…

Research has shown that massively multiplayer online role-playing games (MMORPGs) have the potential to offer language learning opportunities. However, there is a dearth of research exploring student attitudes about the potential of these games for language learning. We used the language learning principles framework proposed by Brown and Lee…

Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…

This study explores the effectiveness of Virtual Reality (VR) in Chinese as a second language (CSL) vocabulary learning from the international students' perspective. A new theoretical framework of VR-based vocabulary learning was designed and verified to serve the investigation. A total of 30 international students learning CSL in a Chinese…

In this digital age, digital multimodal composing (DMC) has permeated the L2 classroom as a technology-enhanced L2 writing task. Despite the learning potential of DMC for L2 students, instruments that measure L2 students' DMC competence are rare. As such, the present study sought to develop and validate an L2 student DMC competence scale in the…

In recent years, Social Networking Sites (SNSs) have witnessed a substantial surge in global user adoption. Apart from their primary intended functionalities, these platforms have been increasingly utilized for language learning purposes. However, the extent to which they cater to the needs of language learners remains a longstanding question. The…

Artificial Intelligence has significantly reshaped foreign language pedagogy, encouraging rural EFL lecturers to move beyond traditional methods. This study aims to investigate the perspectives of rural EFL lecturers in Indonesia on integrating AI into their teaching practices. Using a qualitative design and case study approach, the study explores…

This research aimed to determine the perspectives of Turkish instructors of English on the use of AI tools by Turkish learners of English on their writing skill development given the increasing prevalence of these tools among language learners. Thus, the perspectives of the instructors of these learners are significant in this sense. In this…

The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…

The increasing integration of artificial intelligence (AI) in education has raised significant questions about its pedagogical value, especially in language learning. This meta-analysis examines the extent to which AI contributes to the development of English-speaking and listening skills. A systematic review of the literature was conducted by the…

UNESCO (2023) has called for educators to use pedagogical approaches that prioritize human agency and a responsible interaction between humans and generative artificial intelligence (GenAI). The present study, therefore, sought to design and implement an innovative 5-stage GenAI-based project with Sports Science English for Specific Purposes (ESP)…

The primary aim of this study was to investigate the methodological trends of the articles published in the "Computer Assisted Language Learning (CALL)" journal between 2014 and 2019 via content analysis. The secondary aim was to analyze the "CALL" journal with the bibliometric mapping method to reveal the keyword trend and…

The UNICEF-Akelius Digital Learning Initiative ('the Initiative') is one of the largest and longest-standing digital learning initiatives implemented by UNICEF. Launched in 2018 and continuing through 2024, this initiative spans various educational settings across 12 countries. Its primary focus is to improve education outcomes through digital…

This study analysed 498 articles published between 2005 and 2023 on Self-regulated Language Learning (SRLL) indexed in the core collection of the Web of Science database, using a bibliometric methodology based on scientific mapping, co-occurrence and burstness analysis. Results show China is the most influential contributor to SRLL research, with…