In this study, we examine the role of AI-driven marketing in international student recruitment, focusing on how perceived usefulness, trust, and personalization influence decision-making. Grounded in the Technology Acceptance Model (TAM), the Trust-Based Decision-Making Model, and the Personalization--Privacy Paradox, we studied how AI-powered…

In the era of accelerating globalization, the necessity for multilingual education is increasingly prominent. This study investigates the effectiveness of the AI-based chatbot ChatGPT in multilingual teaching applications. This study employs a quasi-experimental research methodology to examine the experiences of 100 international students at a…

With the advancement of educational technologies, computer-assisted language learning (CALL) tools, like online dictionaries, are essential for acquiring a second language, especially new vocabulary. There has been no empirical focus on the usage of "Gabra" online dictionary in learning Maltese, with a specific focus on international…

The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…

The emotional well-being of international undergraduates plays a critical role in their ability to adapt to the demands of online learning. Despite the relaxation of pandemic-related restrictions in China, many international students continue to choose online learning as their preferred mode of study. This study aimed to measure international…

The advancement of information technologies has led to increased attention to AI chatbots as valuable tools for computer-assisted language learning (CALL), drawing the attention of both academic scholars and industry practitioners. However, there remains limited understanding regarding the adoption of AI chatbots, specifically within the context…

The development of information and communication technologies has created limitless prospects for using augmented reality (AR) in various fields. Unfortunately, the multitasking nature of AR systems prevents learners from successfully reflecting and retaining knowledge. This study developed and designed a learning analytics dashboard (LAD) with…

To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…

The field of linguistic landscape has rarely engaged with the growing number of metrolingual practices brought about by online digital spaces. This paper examines the online linguistic landscape of social media platforms, which presents a spatial repertoire of innovative semiotic affordances. Adopting an online ethnographic approach consisting of…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

We present "doing language testing" sequences; L2 learners decide for themselves to test themselves or each other explicitly on new linguistic items, outside the official task cycle with no professional present, investing extra time and energy. We examine how and why pairs of learners do this, and its impact on their learning. They use…

As Asia's largest host country of international students, China's digital placemaking is impacting on international students' experience whilst studying and living in the country. This qualitative study addresses the issue of international students' transition to the digital environment in China. It draws on the theoretical perspectives of…

In many high-stakes testing situations, test-takers are not allowed to draw on external writing resources while writing, a practice observed more frequently in classroom settings. This may pose problems with the representativeness of test tasks and score interpretations. This study investigates the domain definition of one particular test known as…

To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…

The impact of global mobility and technology innovations on urban linguistic diversity poses a key challenge to understand how and to what extent international students are immersed in the target language. Such diversity of languages and modes of communication has pointed to a fundamental transformation in the way that international students…