In this article, we delve into the application of the online game-based learning and testing platform Kahoot! with second language (L2) learners of Russian and explore how this tool can enhance our students' experiences. Following a brief overview of digital game-based learning (DGBL) and previous research on L2 learning through Kahoot!, we…

This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…

Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…

Multimodal synchronous-computer-mediated communication (SCMC) provides many possibilities for improving language learners' pragmatic competence (Maa & Taguchi, 2022). However, the research exploring how SCMC mode affects the pragmatic learning process and its outcome is limited. This study investigates the effects of SCMC modes on pragmatic…

Since 2000, technology-enhanced L2 listening development (TELD) has been increasingly investigated. However, systematic reviews concerning the technologies, learning tasks, and outcomes of TELD remain limited. To fill this gap, we conducted a systematic review of publications from 2000 to 2022 on TELD from the perspectives of technologies,…

Given the accumulating evidence about audiovisual input as a valuable resource from which knowledge of multiword expressions (MWEs) can be built up incidentally, the next inquiry arises as to what can be done to promote MWE uptake from this resource. Despite the increasing popularity of bilingual subtitles as a form of on-screen text, their…

Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…

Recent years have seen an explosion in video content available online. Yet there is relatively scant research on if, how, and why second language (L2) learners engage with videos in their target language as part of their self-directed study--especially for languages with a smaller media footprint. This paper presents qualitative findings from a…

Language learners are actively engaging in language learning beyond the classroom. However, social networking sites, despite playing a major role in people's lives, have been found to be rarely incorporated into language learners' learning ecologies. An understanding of the factors that shape learners' engagement on instruction-oriented social…

It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…

The advance of educational technologies and digital devices have made computer-assisted language learning (CALL) an active interdisciplinary field with increasing research potential and topic diversity. Questions like "what topics and technologies attract the interest of the CALL community?," "how have these topics and technologies…

Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…

Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…

This study explored the use of stealth assessments within a digital game to assess second language (L2) Chinese learners' reading comprehension. Log data tracking learners' in-game behaviors from a game designed for Chinese dual language immersion classrooms (Poole et al., 2022) were used to construct Bayesian Belief Networks to model reading…

Numerous empirical studies and syntheses have explored technology-mediated task-based language teaching (TMTBLT) (for example, Chong & Reinders, 2020; Kim & Namkung, 2024; Lai & Li, 2011; Ziegler, 2016), with findings highlighting the affordances of technology for interaction and its associated benefits. However, few studies have…