This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner's (1979) ecological systems…

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…

Driven by the digital revolution in second language (L2) classrooms and broadened views on literacy, digital multimodal composing (DMC) has gained a robust growth of interests in the past decade. To illuminate the empirical landscape of this budding field, this paper provides a substantive and methodological review of 60 empirical L2 studies on…

This study was conducted to examine the effects of training in Information Communication Technology-assisted (ICT-assisted) English language teaching on secondary school English language teachers' pedagogical knowledge and English language proficiency. To achieve this goal, a one-group within-subject quasi-experimental design was utilized.…

Purpose: By methodologically reviewing the literature on Technology-Assisted Reading Instruction (TARI) for English Language Learners (ELLs) in K-12 settings, this study aims to advance the knowledge of TARI research and guide future research directions. Design/Approach/Methods: This study examines 32 peer-reviewed journal articles published…

Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…

Current trends in CALL such as mobile learning, gamification, and use of social media appear to represent major shifts in the digital language learning landscape. However, these and other applications of technology to mediate language learning may be informed by reflecting not only on the present but perhaps more importantly on relevant insights…

Owing to the plethora of user-friendly audio/video creation and editing applications as well as free full-featured hosting platforms, videoing and sharing has become a lifestyle of today's students. Utilizing these spontaneous practices, the current study examined the effects of digital media assignments (DMAs) and accompanying asynchronous…

Due to a range of different affordances, mobile technologies can be used pedagogically for language teaching and learning. However, the connection of technology to education needs to be grounded in theoretical frameworks and methodological principles. Task-based language teaching (TBLT), as an optimal approach to language teaching and learning,…

Purpose: This study aims to explore computer-assisted language learning (CALL) activities to improve the English essay writing of Pakistani university students. It highlights the role of CALL in the language proficiency model cognitive academic language proficiency (CALP), which can enable second language learners to engage in more critical…

Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance…

Research has demonstrated the promising potential of chatbots in education. Moreover, technological advancements, such as ChatGPT, prompted us to reexamine distinctions between pedagogical roles that humans and chatbots assume. In this context, a systematic review of 11 experimental studies on human-chatbot comparisons in language education was…

This article focuses on the intersection of technology and pedagogy through the lens of affect/ emotion. It highlights why technology-mediated teaching and learning require new ways of thinking about emotionality in educational contexts. To develop a nuanced understanding of what technology can and cannot do, we can draw insights from the recent…

Given the great potential of integrating Computer-Assisted Language Learning (CALL) and Artificial Intelligence-Assisted Language Learning (AIALL) to enhance language learning outcomes, there is a growing interest in exploring their combined effects. In this vein, the present study aimed to develop and test an interactive pedagogical model of…

This study investigates the efficacy of task-based chatbots in enhancing speaking skills and shaping the attitudes toward language learning of L2 learners while fostering a translanguaging space. The research employs a mixed-methods approach through quantitative and qualitative data collection methods. A sample of 80 L2 learners participated in…