Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

This research uses the theoretical framework of CALL normalisation developed by Bax (2003) and Chambers and Bax (2006) to offer a systematic review (Gough et al., 2012) of the uses and spread of data-driven learning (DDL) and corpora in language learning and teaching across five major CALL-related journals during the 2011-2015 period. DDL research…

Computer-supported collaborative learning facilitates the extension of second language acquisition into social practice. Studies on its achievement effects speak directly to the pedagogical notion of treating communicative practice in synchronous computer-mediated communication (SCMC): real-time communication that takes place between human beings…

This paper is an initial report of the data analysis phase of a larger study that traces the evolution of Computer Assisted Language Learning (CALL). All published Research Articles (RAs) from four major CALL journals -- "ReCALL," "CALL," "Language Learning & Technology" ("LL&T") and "CALICO…

The use of educational technologies to teach a second language (L2) in general, and L2 vocabulary in particular, has mass appeal among computer-assisted language learning (CALL) practitioners. The main objective of the present study is to report the challenges and affordances of technologies used for computer-assisted vocabulary learning (CAVL),…

The tools and techniques of corpus linguistics have many uses in language pedagogy, most directly with language teachers and learners searching and using corpora themselves. This is often associated with work by Tim Johns who used the term Data-Driven Learning (DDL) back in 1990. This paper examines the growing body of empirical research in DDL…

To trace the evolution of research strands in published Computer Assisted Language Learning (CALL) papers over time, a corpus of 426 highly-cited papers in four major CALL journals ("ReCALL," "CALL," "LL&T," and "CALICO Journal") was compiled and coded using NVivo 12. All identified aspects of…

Technology has paved the way for new modalities in language learning; however, indigenous populations often lack access to these tools. This critical literature review examines how researchers have tried to overcome this hurdle by reaching out to marginalized indigenous populations and providing access to emerging technologies. We used 63 texts…

The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…

With the rapid development of economy and technology, more and more fields are combined with electronic intelligence and artificial intelligence, and language teaching is no exception. As a research hot issue, computer-assisted language learning (CALL) has attracted more and more people's attention. Based on computer-aided technology, teachers can…

This study aims to synthesize research trends of blended language learning studies over the past two decades, from 2000 to 2019. Data were collected from the Web of Science, and a total of 60 SSCI-indexed journal articles were retrieved for bibliometric synthesis. Drawing on the revised technology-based learning model, participants, learning…

Griffith University is set across five campuses in south-east Queensland, Australia, and has a student population of 43,000. The School of Languages and Linguistics (LAL) offers programs in linguistics, international English, Chinese, Italian, Japanese and Spanish, as well as English language enhancement courses. Research strands reflect the…

In this state-of-the-art review, we aim to build on Alptekin & Tatar's (2011) article covering research conducted in Turkey between 2005 and 2009, and survey published research in 31 Turkey-based journals between 2010 and 2016. As the second review paper on Turkey's English language teaching (ELT) agenda, our goal is twofold: first, to…

The relationship between computer-assisted language learning (CALL) and second language acquisition (SLA) has been studied both extensively, covering numerous subdomains, and intensively, resulting in hundreds of primary studies. It is therefore no surprise that CALL researchers, as in other areas of applied linguistics, have turned in recent…

The use of Conversation Analysis (CA) in the study of technology-mediated interactions is a recent methodological addition to qualitative research in the field of Computer-assisted Language Learning (CALL). The expansion of CA in Second Language Acquisition research, coupled with the need for qualitative techniques to explore how people interact…