The importance of integrating technologies into second/foreign language (L2) education has garnered increasing attention among scholars in the past decade. It has been exponentially highlighted that L2 educators need to become digitally literate to succeed in the digital world. However, research on the contribution of English as a foreign language…

In recent years, the integration of big data and learning analytics has emerged as a significant trend across educational systems worldwide. The implementation of such technologies within universities -- particularly in China -- holds considerable potential for transforming teaching and learning practices. By enabling personalised, data-driven…

While studies on teacher written feedback and automated writing evaluation (AWE) feedback have proliferated in recent decades, little attention has been paid to how AWE-teacher integrated feedback would influence students' engagement and their writing performance in second language (L2) writing. Against this backdrop, a quasi-experimental design…

The adoption of technology in second language (L2) classrooms has been found a complicated process depending on several factors, two of which may play a crucial role in teachers' technology adoption are emotional intelligence (EI) and self-efficacy beliefs. To date, however, there exists little empirical evidence regarding their interaction to…

Immersive learning plays a crucial role in effective second language (L2) acquisition, but many learners face limited opportunities to interact with native speakers. While existing research highlights the importance of immersion in L2 learning, there is still a gap in understanding how Generative AI (GenAI) can provide greater access to such…

Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…

This study investigated the role of generative artificial intelligence (AI) tools in facilitating informal digital English learning activities among second language (L2) learners in a Chinese context. It explored how factors like learners' ideal L2 self-imagination, international posture, and perceptions of information quality influence their…

This study investigates the influence of technological literacy in artificial intelligence (AI), augmented/virtual reality (AR/VR), and mobile applications on English as a Foreign Language (EFL) students' engagement and motivation in technology-enhanced classrooms. A total of 357 Chinese EFL students participated in a survey-based quantitative…

Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…

With the development of big data technology, higher education is transitioning towards intelligence and ecology. University English teaching, constrained by traditional models, faces challenges such as unmet student needs, inefficient resource allocation, and insufficient teacher-student interaction. Big data, through data collection, real-time…

While social networking sites (SNSs) have attracted growing scholarly interest in uncovering L2 learners' participation within these sites, the impact of writing on SNSs upon students' writing performance and learner autonomy remains underexplored. This study reported on a college EFL writing course participated by two groups of Chinese first-year…

This article reports on a classroom-based investigation into English as a foreign language (EFL) learners' views on lessons which integrated m-learning tools for assessment (Kahoot!) and collaboration (Padlet). 289 Chinese university students' views on such lessons were collected through open-ended questions posted on Padlet. The questions were…

Amidst the challenges posed by the Covid-19 pandemic, this study investigates the impact of Problem-based Language Learning (PBLL) using DingTalk on enhancing Business English Writing skills among Chinese undergraduates. Employing a mixed-method approach, the research involved two phases. In the quantitative phase, a twelve-week quasi-experimental…

The study examined the use of the Oral Proficiency Interview (OPI) in assessing Chinese as a second language and the challenges faced by teachers in the Chinese Language Scholarship (CLS) program. The Concurrent Triangulation Mixed Method Research was used in the study in which qualitative and quantitative data are collected simultaneously,…

Numerous scholars are devoted to investigating the technology acceptance model (TAM) and its extensions, but a comprehensive TAM is still under investigation. This study aims to formulate a relatively comprehensive model by including personal investment and identify factors that influence students' adoption of CCtalk-aided English as a foreign…