Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access to AI applications. However, little is written about the factors that influence their intention to use AI in distributed EFL learning contexts. This mixed-methods study, based on…

The purpose of this study was to investigate the relationship of factors influencing behavioral intention to participate in hybrid education of undergraduate university students majoring in English in Chengdu Universities, China. Questionnaires were collected with 450 respondents from three public universities in Chengdu with the reliability…

Amid globalization, the demand for English oral proficiency continues to grow. This study employs a quasi-experimental design to investigate the integration of an AI chatbot into the mobile-assisted blended learning (MABL) framework. It examines the impact of this approach on the spoken English abilities of Chinese non-English major university…

Purpose: This study aims to generate empirical insights into the extent to which ChatGPT, a highly capable AI chatbot building on OpenAI's GPT family, is perceived and leveraged by EFL learners beyond the classroom. Design/Methodology: This quantitative cross-sectional investigation draws upon the technology acceptance model (TAM) as developed by…

Background: In a context where synchronous online teaching has become a new trend of instruction for online education due to the COVID-19 pandemic, it is valuable and insightful to examine what factors contribute to teachers' satisfaction with synchronous online teaching. Objective: Informed by the technology acceptance model (TAM), this study…

Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…

Recent advancements in artificial intelligence, particularly OpenAI's ChatGPT, have transformed English language learning through Computer-Assisted Language Learning (CALL) tools. This study examined the adoption of ChatGPT among university-level English learners employing the Hedonic Motivation System Adoption Model (HMSAM). An online survey was…

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…

To sustain students' continuous learning in a COVID-19 pandemic context, schools and universities have shifted traditional classroom teaching to synchronous online teaching. However, there is limited understanding of acceptance and adoption of synchronous online teaching by university teachers of English as a foreign language (EFL). This study,…

Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students' intention to use ITSs in the language domain. This study proposes an extended technology acceptance model (TAM) to predict secondary students'…

Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…

Despite the increasing ownership of mobile devices among Chinese postgraduate EFL learners, relevant studies regarding mobile English learning resources (MELR) use by postgraduate learners are still lacking. This study tries to understand the uses and the motivation behind language learners' selection of MALL resources. In this research, 95…

Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…

This paper is designed to explore the current status of Chinese EFL teachers' use of digital resources in doing research and its influential factors. It classifies digital resources into six types aligned to the research process and uses the revised TAM to find out and explain its influential factors. A total of 180 teachers were investigated via…

This study investigated the effects of a self-developed mobile app on Chinese university EFL learners' vocabulary learning and retention. Their perceptions of the mobile app were also explored. Data were collected using mixed methods. The results can be summarized as follow: firstly, the students using the mobile app could learn more words than…