The present study aims to explore how pre- and in-service language teachers incorporate the cutting-edge technology of immersive virtual reality (iVR) into their teaching practice. Specifically, the study examined how their different knowledge levels and teaching experiences influenced their integration of technology by analyzing their performance-based tasks in microteaching in an iVR environment. This particular technology was selected for the study because it was expected to bring multiple pedagogical benefits to future foreign language learning classrooms, such as contextualized learning, increased learner motivation and interest, and enhanced interaction and communicative skill training. The study employed in-depth qualitative analysis. Data (lesson plans, screen recordings of microteaching episodes, and reflection papers) were collected from one preservice teacher training course and one in-service teacher training course at a Korean university. The study found a large gap between pre- and in-service teacher performance and identified the sources of the differences based on qualitative data analysis. The results showed that not only teachers’ technological knowledge but also their pedagogical knowledge of the use of technology and confidence in teaching affected technology integration. As technology integration has become more important in language education, the current study provided insight into how to better prepare teachers for future learners.

Recent studies on technology-mediated task-based learning have shown the impact of task design and modality on English as a foreign language (EFL) learning. However, it is unclear what effect technology-mediated tasks have on learners’ English language skills. This paper presents a classroom-based study that showed how using technology-mediated tasks impacted students’ learning experiences and fostered the development of specific speaking and writing subskills in an EFL secondary education context. Forty-two EFL intermediate learners completed two speaking and two writing tasks from the Cambridge B2 First exam using mobile devices. The participants were divided into a pen-and-paper group (N = 21) and an iPad group (N = 21). Learning outcomes were measured using a pre-test/post-test design with a statistical comparison of ratings across tasks. A qualitative content analysis of lesson observations and student and teacher interviews served as an additional dataset to shed light on learners’ experiences. Descriptive statistics revealed that the iPad group achieved higher scores in pronunciation and accuracy (speaking) and essay organisation features (writing). Tasks involving the active use of the tool for content creation, rehearsing speaking performances, and accessing authentic materials were the most successful among students.

Previous research on audiovisual input attests to a significant effect of on-screen text and proficiency on learning gains. However, there is scarce research on whether these factors affect viewers’ feeling of learning, a variable that can affect overall second language (L2) learning outcomes (Ellis, 2008). Moreover, there is a lack of research exploring whether viewing experience prompts viewers to switch from one viewing mode (subtitles, captions, no on-screen text) to another and what factors affect those choices. This study explores learners’ perspectives on learning from audiovisual input and their preferred viewing mode before and after participating in a prolonged viewing intervention. A total of 136 participants of varying L2 English proficiency levels (from A1 to C2) completed pre-viewing and post-viewing questionnaires. The results show that vocabulary and expressions were perceived to be learnt the most. The elementary proficiency group were more likely to be positive about learning from the intervention than higher proficiency students. Concerning the preferred viewing mode outside of the classroom, the participants favoured no on-screen text or first language (L1) subtitles over L2 captions. At the end of the intervention, the elementary-level participants found that viewing without any L1 support was too challenging for leisure viewing, while the intermediate- and advanced-level students gained confidence in watching without any textual support.

This meta-analytic study explores the overall effectiveness of automatic speech recognition (ASR) on ESL/EFL student pronunciation performance. Data with 15 studies representing 38 effect sizes found from 2008 to 2021 were meta-analyzed. The findings of the meta-analysis indicated that ASR has a medium overall effect size (g = 0.69). Results from moderator analyses suggest that (1) ASR with explicit corrective feedback is largely effective, while ASR with indirect feedback (e.g. ASR dictation) is moderately effective; (2) ASR has a large effect on segmental pronunciation but a small effect on suprasegmental pronunciation; (3) medium to long treatment duration of ASR results in higher learning outcomes, but short duration offers no differential effect compared to a non-ASR condition; (4) practicing pronunciation with peers in an ASR condition produces a large effect, but the effect is small when practicing alone; (5) ASR is largely effective for adult (i.e. 18 years old and above) and intermediate English learners. Overall, ASR is a beneficial application and is recommended for assisting L2 student pronunciation development.

Virtual exchange (VE) projects in pre-service language teacher education are increasingly being recognized as an innovative practice due to their affordances for providing teacher learning opportunities in technology-rich environments. This study aims to report these opportunities based on results from a VE project consisting of diverse teacher education activities, including lectures, webinars, asynchronous tasks, and synchronous video-mediated interactions. This project provides a medium for pre-service teachers to collaboratively design a lesson to be implemented in hybrid language learning environments. We specifically deal with the video-mediated interactions of the transnational groups of pre-service language teachers using multimodal conversation analysis (CA) as the research methodology and investigate VE phases to explore how their interactions become consequential for the final pedagogical design. The findings show that the pre-service teachers retrospectively orient to shared practices in the earlier phases of the VE project, and the deployment of retrospective orientation as an interactional resource creates interactional space for collaborative decision-making related to their pedagogical designs. We argue that tracking the video-mediated pedagogical interactions of the pre-service teachers using CA is a methodological innovation that allows researchers to collect interactional evidence for the emergent teacher learning opportunities. The findings bring new insights to the role of the technology-mediated settings (e.g. VEs and telecollaboration) in language learning, teaching, and teacher education and in bridging different cultures, curricula, and physical spaces.

With more than 1,200 publications over the past two decades, experimental mobile-assisted language learning (MALL) studies targeting second/foreign language (L2) acquisition outcomes are certainly not lacking in quantity. Their research quality, on the other hand, has often been brought into question, most notably with regard to the adequacy of their assessment instruments and statistical analyses. Yet limiting the determination of research quality to the evaluation of testing procedures, and the statistical analysis of the results they produce, ignores the critical relevance of the underlying research parameters that generate the results in the first place. A comprehensive evaluation of quantitative experimental L2 acquisition MALL research quality, encompassing design as well as assessment instruments and statistical analysis, thus remains to be undertaken. The present investigation endeavors to do so based on an extensive compilation of 737 MALL studies published between 2000 and 2021. The research quality of these publications is evaluated according to four main parameters: language acquisition moderators, treatment intervention conditions, assessment instruments, and statistical analysis. These are applied according to a modified version of the Checklist for the Rigor of Education-Experiment Designs (CREED), which classifies research design quality into five levels: low, medium-low, medium, medium-high, high. With over three quarters of all studies falling within the low category, the result leaves much to be desired. Since the modified CREED algorithm developed here can equally be applied to studies from their inception, it offers a way forward to improve the research quality of future experimental MALL studies.

Recent studies have shown that watching videos with dual subtitles can promote vocabulary learning. This study investigated the extent to which vocabulary learning may be enhanced through repeated viewings of dual-subtitled videos. A 3x3 counterbalanced experimental design was adopted to examine English as a foreign language (EFL) learners’ immediate vocabulary gains and retention under different learning conditions across three experimental sessions, including (a) immediate repeated viewing, (b) spaced repeated viewing, and (c) no repeated viewing. Participants were 60 Chinese-speaking lower-intermediate university EFL learners. They were divided into three groups and given each of the three treatments in each experimental session. ANOVA results revealed that viewing dual-subtitled videos with repetition allowed learners to achieve greater vocabulary gains than viewing with no repetition, with evidence indicating the superiority of immediate repetitions over spaced repetitions.

High-immersion virtual reality (HiVR) attracts increasing attention among language learning researchers because of its potential to enhance language learning. Prior studies focused mainly on HiVR and linguistic knowledge acquisition, and little is known about HiVR and emotions in language learning. Foreign language speaking anxiety (FLSA) is a common emotion that inhibits language learning and use, so it is important to explore approaches to alleviate it. This study investigated the potential use of HiVR for coping with FLSA in which 140 Chinese EFL learners were randomly assigned to four groups (35 students each) with a different combination of learning environments (HiVR or classroom) and learning principles (situated learning or teacher-centred learning). Students’ pre- and post-test of FLSA levels within and among four groups were compared via t-tests and ANOVA. Participants’ descriptions of FLSA change and perceptions of the effects of HiVR on FLSA were integrated with quantitative results for analysis. The integration of analysis showed that although most students perceived HiVR as a useful tool for alleviating FLSA, it is difficult for them to apply the reduced anxiety experienced in HiVR to real-life situations. The statistical results also showed that HiVR did not influence students’ real-life FLSA significantly. Most participants reported that HiVR offered them an authentic environment and enjoyable learning activities, which engaged them in learning, but the use of avatars in HiVR sometimes created an obstacle to communication. Implications for using HiVR technology to enhance foreign language learning are provided.

Data-driven learning (DDL) form-focused tasks are a relatively new concept. These tasks involve using concordance lines to teach language in a way that integrates discovery learning, authentic language use, consciousness-raising, and the communicative use of language. Given their novelty, there haven’t been many studies on how they impact learners’ engagement. Therefore, this study sought to study whether DDL form-focused tasks influence English as a foreign language (EFL) learners’ task engagement. A total of 114 Iranian EFL learners were randomly divided between comparison and intervention groups in a study that utilized an experimental (comparison group, pretest, and post-test) design within a sequential explanatory mixed-methods design. The comparison group completed 10 non-DDL form-focused tasks, whereas the intervention group completed 10 DDL form-focused tasks. The results of t-tests and repeated-measures ANOVA indicated that incorporating DDL form-focused tasks into English classes enhanced EFL learners’ task engagement in the short run. However, the impact of DDL form-focused tasks on EFL learners’ task engagement was not durable. Moreover, analyzing semi-structured interview data suggested that using DDL-enhanced tasks with a form-focused approach increases EFL learners’ task engagement by triggering their curiosity, improving their autonomy, enhancing their concentration and interest, and facilitating their discovery learning. The present study lends more credence to the application of such tasks. The paper ends with implications for English language teaching and materials development.

This study traces the evolution of computer-assisted language learning (CALL) by investigating published research articles (RAs) in four major CALL journals: ReCALL, Computer Assisted Language Learning, Language Learning & Technology, and CALICO Journal. All 2,397 RAs published over four decades (1983–2019) were included in the pool of data, and the Google Scholar citation metric was adopted to assess the impact of the papers. By selecting the top 15% of widely cited papers from each individual year, we minimized the time bias between years, enabling a balanced narration of the history of CALL through a representative dataset of 426 high-impact RAs. To identify the evolution of research trends, the contexts, methodologies, theoretical underpinnings and research foci of all 426 RAs were investigated using NVivo 12 and AntConc. The analysis of the data yielded encouraging results such as the upward trend in the number of publications and the international reach of CALL in the last two decades, the physical or virtual presence of language learners with diverse language profiles, and the growing tendency to triangulate methodology for increased complexity. However, long-standing issues such as the heavy reliance on traditional research contexts, poor reporting practices of basic demographic information, the large number of atheoretical papers and the concentration on a limited number of research foci continue to pose challenges in CALL research. Based on the findings, the paper suggests solutions for the controversies and addresses key issues for future research in CALL.

Many studies have demonstrated that teaching a foreign language in settings outside of the classroom can improve the communicative use of the target language. However, many places remain inaccessible to learners due to physical limits of mobility and health, socioeconomic factors, or political or temporal restraints. Our previous studies have shown that telepresence robots are successful in immersing learners in remote places for learning a foreign language. The aim of this study is to analyze, through the theoretical lens of geosemiotics, how dialogic interaction between different semiotic systems emerges within the use of telepresence technology to understand how these systems shape discourse and meaning-making processes. It also considers what instructional strategies support such meaning-making with telepresence robotics, and what meaning-making principles can help improve the design of the robot. Initial findings show that properly planning the use of specific places provides ample opportunity for semiotic systems to shape the instructors’ and students’ meaning-making processes. Future research is needed to address some of the challenges to participants that are related to the design of the robot.

The majority of research papers in computer-assisted language learning (CALL) report on primarily quantitative studies measuring the effectiveness of pedagogical interventions in relation to language learning outcomes. These studies are frequently referred to in the literature as experiments, although this designation is often incorrect because of the approach to sampling that has been used. This methodological discussion paper provides a broad overview of the current CALL literature, examining reported trends in the field that relate to experimental research and the recommendations made for improving practice. It finds that little attention is given to sampling, even in review articles. This indicates that sampling problems are widespread and that there may be limited awareness of the role of formal sampling procedures in experimental reasoning. The paper then reviews the roles of two key aspects of sampling in experiments: random selection of participants and random assignation of participants to control and experimental conditions. The corresponding differences between experimental and quasi-experimental studies are discussed, along with the implications for interpreting a study’s results. Acknowledging that genuine experimental sampling procedures will not be possible for many CALL researchers, the final section of the paper presents practical recommendations for improved design, reporting, review, and interpretation of quasi-experimental studies in the field.

In recent years, automated written feedback (AWF) has gained popularity in language learning and teaching as a form of artificial intelligence (AI). The present study aimed at providing a comprehensive state-of-the-art review of AWF. Using Scopus as the main database, we identified 83 SSCI-indexed published articles on AWF (1993–2022). We investigated several main domains consisting of research contexts, AWF systems, feedback focus, ways of utilizing AWF, research design, foci of investigation, and results. Our results showed that although AWF was primarily studied in language and writing classes at the tertiary level, with a focus on English as the target language, the scope of AWF research has been steadily broadening to include diverse language environments and ecological settings. This heterogeneity was also demonstrated by the wide range of AWF systems employed (n = 31), ways of integrating AWF (n = 14), different types of AWF examined (n = 3), as well as varied research designs. In addition, three main foci of investigation were delineated: (1) the performance of AWF; (2) perceptions, uses, engagement with AWF, and influencing factors; and (3) the impact of AWF. We identified positive, negative, neutral, and mixed results in all three main foci of investigation. Overall, less positive results were found in validating AWF compared to results favoring the other two areas. Lastly, we grounded our findings within the argument-based validity framework and also examined the potential implications.

Language MOOC research has experienced a notable evolution from practice to conceptuality since its emergence as a subdiscipline of computer-assisted language learning. The versatility of the MOOC format for language learning has led to experimental designs that combine linguistic acquisition with other educational activities. This has been considered to be conducive to new ways of understanding how language learning occurs in LMOOCs, although there is no solid classification of LMOOCs subtypes to date based on course design. This study aimed to contribute to the conceptualisation of the field by creating a taxonomy for existing LMOOCs. Grounded theory strategies were adopted, so evidence was systematically collected to develop conceptual categories based on a thorough analysis process of the syllabus and short description of 432 courses. As a result, six LMOOC modalities emerged from the analysis: general language learning LMOOCs, LMOOCs for academic purposes, LMOOCs for professional purposes, LMOOCs focused on a specific language skill development, cultural-oriented LMOOCs, and meta-language learning LMOOCs. This study means a significant contribution to the LMOOC research field inasmuch as it is one of the first empirical-based attempts to broaden the definition of LMOOC.

Immersive learning technologies offer K–12 English learners simulated contexts for language acquisition through virtual interactions, influencing learner attitudes and enhancing cross-curricular skills. While past literature reviews have explored learners’ English skills and emotions, few have delved into the learning effectiveness of immersive technologies for K–12 students. This systematic review analyzed 33 studies from 2012 to 2021, focusing on research designs, the role of immersive technologies in English learning, and the theoretical underpinnings of these studies. Results highlight the methods used to gauge learning effectiveness, the ways immersive technologies bolster learners’ attitudes and skills, and a noticeable gap in theoretical grounding. Recommendations for future research are provided.

Concerns over the quality of teaching in massive open online courses devoted to language learning (LMOOCs) have prompted extensive research on learning behavior in such courses. The purpose of this study is to gain a better understanding of autonomous learning check-ins – that is, individuals sharing their own learning records and/or other information about their learning-related experience – a novel behavior that has not been studied in previous LMOOC research. Using learning analytics, we found that just 6.2% (n = 699) of a sample of 11,293 learners autonomously engaged in check-in behavior, and that the content of these learners’ check-ins varied considerably according to their contexts and the language skills they were seeking to acquire. We further found (1) a positive association between check-in behavior and LMOOC completion; (2) that students who chose to check in earned relatively low grades on unit quizzes, especially in their early stage of learning, but outperformed the non-check-in group significantly in final exam scores; and (3) that those who checked in engaged with a significantly wider array of in-LMOOC learning components than those who did not, and thus accessed a wider system of language-learning experiences. Taken together, these results confirm that check-in behavior can aid the process of learning in an LMOOC and further highlight this behavior’s wider potential to aid self-directed autonomous online learning.

This explanatory mixed-method study seeks to understand the relationships between second language (L2) motivation (including the ideal L2 self and the ought-to L2 self) and students’ informal digital learning of English (IDLE) and whether such relationships are mediated by the most prominent positive emotion – enjoyment. A total of 391 Chinese university students participated in the survey, and 15 of them were interviewed later. Quantitative analysis revealed a strong positive relationship between the ideal L2 self and participants’ IDLE, which was partially mediated by foreign language enjoyment (FLE), while the hypotheses that the ought-to L2 self significantly predicted FLE and IDLE were rejected. The qualitative data added details to how a vivid and elaborate L2 vision contributed to enhanced English learning enjoyment and served as the most influential motivator for IDLE practices. Meanwhile, the external and instrumental motives could not predict Chinese university students’ enjoyment, disempowering them to invest in productive language learning practices in the informal and digitalized environment. The discussion of these findings and pedagogical implications helps to chart the path for utilizing the power of the ideal L2 self to engage Chinese university students with the extramural and digitalized language learning ecology.

For years, computer-assisted language learning (CALL) has thrived as an interdisciplinary subfield, linking applied linguistics and educational technology. Despite its significance and a number of syntheses, CALL research has not yet undergone a comprehensive scientometric synthesis. This study synthesizes CALL research over a period of 42 years by employing a scientometric analysis of sources and document co-citation analyses. Scopus was used to retrieve original articles with a timespan limit from 1980 to 2021. Our records identified 4,631 articles representing CALL-based research, which were published in 63 peer-reviewed journals and collectively contained 186,589 references. The findings indicate that CALL research is supported by robust theoretical frameworks, grounded in socio-cultural and second language acquisition theories. Our research findings have revealed several significant clusters of interest within the realm of CALL, with a pronounced focus on writing among CALL scholars. Additionally, the study identified emerging research areas such as mobile-assisted language learning, synchronous computer-mediated communication, and data-driven learning in CALL literature. Notably, “CALL-core” journals exhibited high productivity, with Language Learning & Technology, Computer Assisted Language Learning, and Computers & Education standing out as top-ranked journals in terms of the Hirsch index (h-index) and co-citation. Suggestions for future research are outlined in the conclusion.

The aim of this paper is to investigate the usefulness of examples that show typical learner errors in online pedagogical dictionaries of English for the accuracy of error correction as well as immediate and delayed retention of usage. The optimal positioning of examples of errors in entries is also researched. In an online experiment, participants did a sentence correction exercise with the help of purpose-built monolingual dictionary entries, where the provision and positioning of examples showing errors were controlled. Two test versions were created, which differed only in the presence of examples of errors in the entries. Usage retention was observed immediately after the test and two weeks later. The results indicate that it is worthwhile to include examples of errors in online learners’ dictionaries because they contribute greatly to the retention of usage in the long run. They also help to rectify errors, though the effect is not statistically significant. The positioning of examples showing errors in entries has no influence on error correction accuracy or usage retention. The study reveals examples of errors to be a valuable induction-oriented stand-alone dictionary component placed outside warning boxes, which typically include explicit grammar rules and promote deduction.