Human-Machine Interaction (HMI) technology has revolutionized the landscape of oral English education, offering new possibilities for improving learning efficiency and experiences. This paper presents an innovative teaching system that integrates real-time speech recognition and feedback capabilities with advanced natural language processing (NLP)…

Social media is widely used in many different sectors worldwide. In language education, it can impact students' language learning, and students may have diverse opinions about its use. This study aimed to explore how Thai university students conceptualise social media and their perceptions of it. An elicitation task, "social media is like ……

University classrooms are increasingly populated by students with diverse nationalities and native languages (L1). The growing number of students in English-led classrooms who speak English as a second or lower language (L2) may face added difficulties in understanding the specific task objectives or directions, as explained by native-…

This study explored the efficacy of video podcasts (VODcasts) in fostering whole-language learning among college EFL students. Employing a quasi-experimental design with pre-tests, post-tests, and a control group, the research compared the effects of a one-year remedial instruction program. The experimental group received instruction incorporating…

This study examines the potential of virtual reality (VR) technology in language learning, specifically for the Maltese language. Despite the popularity and advancement of VR, its use in teaching minor languages like Maltese has not been extensively explored. The concern is that the lack of technological resources may lead to the extinction of the…

This systematic review synthesizes evidence on the impact of integrating Information and Communication Technology (ICT) and the flipped classroom model (FCM) on student motivation, engagement, and English language proficiency. Relevant studies from 2015 to 2023 were identified through electronic databases. Eligible studies examined the integration…

Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…

This study investigated the factors influencing English as a Foreign Language (EFL) teachers' intention to teach with technology (IT2) by exploring innovative theoretical frameworks. Drawing upon the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Teacher Technology Integration Framework…

This paper presents the integration of generative artificial intelligence (GAI) and other AI tools in English as a Foreign Language (EFL) education, addressing the limitations of traditional pedagogical approaches. Conventional EFL methods, often reliant on rote learning for standardized tests, struggle to impart practical language skills relevant…

This study examines whether technology-based performance tasks can mediate communicating in English and enhance language learner engagement. This study investigated how low-proficiency Japanese English-language learners could change their attitude toward communicating in their target language by completing a performance task that involved making…

Task-based language teaching (TBLT) emerged in the 1980s as a learner-centred and experiential alternative to more established and teacher-led approaches to acquiring an additional language (L2). Two decades ago, a paper published in "The Language Learning Journal" discussed the advantages and drawbacks of TBLT that had become apparent…

This study investigates the interplay between EFL students' needs, proficiency levels, learning styles and AI-powered adaptive learning platforms in fostering academic engagement. A positive and significant relationship was observed, demonstrating that AI-powered platforms effectively cater to EFL students' individual needs, proficiency levels and…

Second language teaching has recently witnessed a transition from the conventional flipped classes to a fully online flipped instruction. The present study aims to examine the differential effects of two modes of fully online flipped instruction, i.e. interaction-embedded (IE) and interaction-reduced (IR), on EFL learners' speaking. Aligning with…

As artificial intelligence (AI) gains prominence, its integration into second language (L2)/foreign language (FL) instruction has become a significant trend. Despite the considerable promise of AI for L2/FL learning, more research is still needed on its effects on student academic engagement in literature classes and the corresponding emotional…

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…