Recently we have seen a shift of focus in using the Internet from often inappropriate human-computer interactivity to human-human interaction, based on collaborative learning concepts like learner autonomy and tandem learning. The renewed discussion of interface design has provoked a reconsideration of me traditional graphical user interface and a shift towards more intuitive interfaces like virtual reality, mainly building on the concept of constructionism. The MOO (multi-user domain, object oriented) system provides a flexible, easy-to-use multiple user virtual reality that allows for the integration of language learning tools and resources in a common environment, a third place.

Success and failure in language learning are partly determined by the learners’ ability to regulate their emotions. Negative feelings are more likely to frustrate progress, while positive ones make the task of learning a second language (L2) a more effective experience. To date no significant body of research has been carried out into the role of anxiety in the field of computer-assisted language learning (CALL). The present study adopts discursive psychology (DP) as its methodological approach to examine anxiety not as a psychological state, but as a social construct in the context of an audiographic conferencing tool. After interviewing a sample of learners of Spanish at the Open University (OU), our findings reveal a strong connection between emotion and learner beliefs.

This case study explores how a Chinese-American novice teacher acted as mediator in a telecollaboration with student teacher (ST) peers in the USA who designed tasks for his English as a foreign language (EFL) learners in China. The novice teacher was instrumental in mediating the student teachers’ task design process by providing feedback regarding technological and institutional constraints, and the nuances of his target student population. He appropriated and adapted the tasks to make them relevant for his EFL learners. Against the backdrop of the three dimensions of professional capital – human, social, and decisional – the research questions explored how the novice teacher used the different types of knowledge of context (pedagogical, institutional, technical) in relation to task design, and his perception of his role as mediator. Within a sociocultural framework for telecollaboration studies, this exploratory case study shares characteristics of ethnography, action research, and narrative inquiry. Data triangulation included text-based computer-mediated communication (CMC) data (Google Groups, emails), a narrative written by the novice teacher, and a semi-structured, reflective Skype interview with him. The findings indicate that he demonstrated high commitment, thorough preparation, continuous reflection, and development while navigating between his different roles of mediator, assessor, implementer, and field observer.

This study explores interactions among language learners with the support of online resources in a collaborative writing task and how online resources assisted collaborating learners in the meaning-making process. The study was conducted in the freshman English course at a national university in Taiwan. Fifty-six students constructed an essay in pairs firstly without the support of online resources, and subsequently constructed another essay with the support of online resources. Each pair’s interactional patterns and dynamics of peer scaffolding across the two settings were examined. The findings show that the availability of online resources fosters a variety of interaction characteristics among learners with varied collaboration orientation. Results also suggest that learners’ collaboration predisposition at the onset plays a critical role in influencing the way they used online resources to support their interaction. This study thus suggests that learners’ collaborative patterns and their use of online resources have mutual impact, which may inform teachers seeking to integrate online resources to enhance their students’ collaborative learning.

The HoDoo English game was developed to take advantage of the benefits attributed to on-line games while teaching English to native Korean speakers. We expected to see that the improvements in the subjects’ English language abilities after playing the HoDoo English game would be associated with increased brain functional connectivity in the areas of the brain involved in the language production (Broca’s area) and the understanding (Wernicke’s area) networks. Twelve children, aged nine and ten, were asked to play the on-line English education game for 50 minutes per day, five days per week for twelve weeks. At baseline, and again at the end of twelve weeks of game play, each child’s English language ability was assessed and a functional magnetic resonance imaging (fMRI) scan was conducted. The on-line English education game play effectively improved English language skills, especially in terms of non-verbal pragmatic skills. Following twelve weeks of on-line English education game play, the children showed positive connectivity between Broca’s area and the left frontal cortex as well as between Wernicke’s area and the left parahippocampal gyrus and the right medial frontal gyrus. Changes in pragmatic scores were positively correlated with average peak brain activity in the left parahippocampal gyrus. To the best of our knowledge, this is the first study to report an improvement in English ability and changes in brain activity within language areas after on-line language education game play.

Within the field of computer assisted language learning (CALL), scant literature exists regarding the effectiveness and practicality for secondary students to utilize data-driven learning (DDL) for vocabulary acquisition. In this study, there were 100 participants, who had a mean age of thirteen years, and were attending an international school in Ho Chi Minh City, Vietnam. This particular milieu unsurprisingly comprised ‘third culture kids’ (TCKs) and ‘cross-cultural kids’ (CCKs). They were assigned to a control and experimental group; both had several intensive weeks of online-dictionary learning training, while the experimental group also experienced intensive DDL training. This was done prior to the start of the eight-week longitudinal study. Major findings included a significant longitudinal main effect for both groups, significantly overall higher results for the experimental group than the control, and a significant difference among subjects’ grade level was discovered. Furthermore, the experimental group exhibited a significantly marked increase in vocabulary results in the later weeks of the experiment. In general, these results show that DDL can be successful in the secondary school English as a foreign language (EFL) context and that it promotes significantly better vocabulary acquisition when used in conjunction with online-dictionary vocabulary learning methods, especially for a sustained longitudinal period of time.

This paper presents IdiomsTube (https://www.idiomstube.com), the first-ever computer-assisted language learning tool for facilitating the learning of English idiomatic expressions from YouTube videos. The web-based tool is designed to automatically (1) assess the speech rate and lexical difficulty level of any learner-chosen English-captioned YouTube video; (2) generate a range of vocabulary-building and revision tasks (e.g. fill-in-the-blanks, the classic spelling game hangman, pronunciation, flashcards); and (3) recommend YouTube videos based on learners’ individual learning progress, class teachers’ instructions, and current trends. This paper describes the app’s current features in conjunction with the challenges endemic in the development of applications that automatically generate English language learning content out of internet video content. At the time of writing, the IdiomsTube app had over 8,000 registered users worldwide.

Automated writing evaluation (AWE) technologies are common supplementary tools for helping students improve their language accuracy using automated feedback. In most existing studies, AWE has been implemented as a class activity or an assignment requirement in English or academic writing classes. The potential of AWE as a voluntary language learning tool is unknown. This study reports on the voluntary use of Criterion by English as a foreign language students in two content courses for two assignments. We investigated (a) to what extent students used Criterion and (b) to what extent their revisions based on automated feedback increased the accuracy of their writing from the first submitted draft to the last in both assignments. We analyzed students’ performance summary reports from Criterion using descriptive statistics and non-parametric statistical tests. The findings showed that not all students used Criterion or resubmitted a revised draft. However, the findings also showed that engagement with automated feedback significantly reduced users’ errors from the first draft to the last in 11 error categories in total for the two assignments.

Commonly, low completion rates in massive open online courses have called into question the quality of their learning materials and instruction. This paper attempts to identify crucial factors of engagement and retention in language massive open online courses (LMOOCs) in the context of the open online program of Icelandic Online, a self-guided course for second language learners of Icelandic. The study seeks to explore the impact of factors associated with the course’s instructional design on engagement and retention and reveal crucial determinants of attrition. The study depends on survey and tracking data from 400 learners and qualitative data from 62 informants in one course. It builds on previous studies on student engagement and retention in LMOOCs (Friðriksdóttir, 2018, 2019). The present study identified six content-specific factors that the majority of participants considered to be important for their motivation. Some factors, such as gradual and scaffolded presentation of input, had a positive impact on retention. Furthermore, statements from learners in the study who disengaged before completing show that non-course-related factors, such as time constraints, affect LMOOC retention. The study provides a new framework for how to promote student engagement and suggests specific strategies for other LMOOC developers.

Promoting speaking interaction remains a challenge for language massive open online courses (LMOOCs), both from a pedagogical and technological standpoint. This paper describes the design process of the tandemMOOC, which exploits the massive, open and online features of MOOCs in order to offer language learners online speaking interaction practice with native speakers of their target language. The course is based on eTandem language learning principles and equips learners with the necessary competences to be able to cope with online second language (L2) speaking opportunities. Following a design-based research approach, this paper presents an analysis and discussion of seven components of the design: learning environment, facilitation dynamics, dyad configuration, task types, task topics, feedback provision, and gamification components. The analysis of the implementation of these elements results in a set of key features for the integration of L2 speaking interaction activities in LMOOCs.

Situated learning is often proposed as a model for CALL teacher education. However, we know little about how students perceive situated CALL coursework and activities, and the nature of the relationship between situated learning and CALL learning. This exploratory case study addresses these issues. Survey, questionnaire, and open-ended data were collected from 21 MA TESOL students enrolled in a CALL course in South Korea. The results showed that students perceived that the course offered many elements of situated learning environments, and that some course activities were more situated than others. Additionally, the relationship between situated learning and CALL was strong and positive. Implications for research into situated learning and CALL teacher education are discussed.

Speech recognition technology (SRT) is now widely used in education because of its potential to aid learning, particularly language learning. Nevertheless, SRT has received only limited attention in earlier review studies. The present research aimed to address this gap in the field. To this end, 26 articles published in SSCI journals between 2014 and 2020 were selected and reviewed with respect to domain and skills, technology and their application, participants and duration, measures, reported results, and advantages and disadvantages of SRT. The results showed that English received much more attention than any other language, and scholars mostly focused on facilitating pronunciation skills. Dragon Naturally Speaking and Google speech recognition were the most popular technologies, and their most frequent application was providing feedback. According to the results, college students were involved in research more than any other group, most studies were carried out for less than one month, and most scholars administered a questionnaire or pre-/posttest to collect the data. Positive results related to gains in proficiency and student perceptions of SRT were identified. The study revealed that improved affective factors and enhanced language skills were advantages, whereas a low accuracy rate and insufficiency (i.e. lack of some useful features to support learning efficiently) of SRT were disadvantages. Based on the results, the study puts forward several implications and suggestions for educators and researchers in the field.

Despite the accumulated body of research on teaching English as an international language (EIL), few have offered a detailed overview of how to implement an EIL classroom, and still fewer empirical studies have been conducted. Twenty-one university students at a Japanese university participated in the study in the spring semester of 2015. The videoconference-embedded classroom (VEC) as an instructional intervention was implemented for 14 weeks: (1) pre-videoconference task (i.e. reading and presenting/discussing EIL issues) (11 weeks), (2) during-videoconference task (i.e. interacting online with EIL experts from three circle countries) (2 weeks), and (3) post-videoconference task (i.e. writing/presenting the final term paper on EIL issues) (1 week). Using a mixed research method consisting of a questionnaire, post-course class evaluations in spring 2014 (without VEC) and spring 2015 (with VEC), and in-class observations, VEC was found to have important pedagogical benefits as it created an interactive learning environment and deepened the understanding of the EIL content. Additionally, 81% of the participants had positive perceptions of EIL. Pedagogically, practitioners can implement EIL ideas using VEC pedagogy at the instructional level. Theoretically, it can also add new empirical findings to the field, which may help bridge a discrepancy between theory and practice.

This study examined the effects of communication mode (i.e., face to face versus computer mediated communication) on the instances of negotiation of meaning (NofM) and its level of noticing by learners. Sixty-four participants (32 dyads) completed two jigsaw tasks in two different mediums (one in each) and four days after the tasks they were asked to identify the instances where they had communication breakdowns in a stimulated recall protocol. The findings of the study revealed that the average number of the NofM exchanges and durations of the tasks were higher in face to face mode (F2F) but the participants of the synchronous computer mediated communication (SCMC) group noticed a higher average of NofM instances (M=10.72) compared to the F2F group (M=9.13) and the difference was significant. Based on these results, we can argue that F2F promotes a better context for the production of NofM, but the SCMC environment leads to more instances of noticing.

Qualitative research focusing primarily on advanced-proficiency second language (L2) learners suggests that online corpora can function as useful reference tools for language learners, especially when addressing phraseological issues. However, the feasibility and effectiveness of online corpus consultation for learners at a basic level of L2 proficiency have been relatively unexplored. The current study of Japanese-L1 (first language) learners in an EFL (English as a foreign language) context (N=117) addresses these gaps in research. A preliminary investigation (Experiment 1) examined EFL learners (n=78) as they used the Corpus of Contemporary American English (COCA: Davies, 2008–) to revise essays. Experiment 2 (n=39) used a within-subjects comparison to determine whether participants attained greater accuracy in supplying the missing word in a gap-fill test when using an electronic dictionary or COCA. The survey results from the two experiments revealed that participants generally found using an online corpus difficult. In Experiment 2, a paired-samples t-test showed that participants, at an alpha of p=.05 two-tailed, were marginally better able to answer test questions when using the online corpus than they were when using an electronic dictionary, p=0.030. The implications of the study within the context of previous research are discussed along with pedagogical recommendations and possible avenues for future research.

In this work we set out to investigate the feasibility of applying measures of lexical frequency to the assessment of the writing of learners of French. A system developed for analysing the lexical knowledge of learners, according to their productive use of high and low frequency words (Laufer and Nation 1995), was adapted for French and used to analyse learners’ texts from an Open University French course. Whilst we found that this analysis could not be said to reflect the state of the learners’ vocabulary knowledge in the same way that Laufer and Nation’s study did, elements of the system’s output did correlate significantly with scores awarded by human markers for vocabulary use in these texts. This suggests that the approach could be used for self-assessment. However, the feedback that can be given to learners on the basis of the current analysis is very limited. Nevertheless, the approach has the potential for refinement and when enhanced with information derived from successive cohorts of learners performing similar writing tasks, could be a first step in the development of a viable aid for learners evaluating their own writing.

This qualitative study investigates the relationship between learning opportunities and teacher cognition in the context of a videoconferencing (VC) project for foreign languages (FL) in French primary schools. Six generalist primary teachers were followed throughout the initial six-month stage of the initiative, and data were collected from learners, teachers, and trainers via questionnaire, video and audio recordings of class and feedback sessions, online teacher and trainer discussion, and video-stimulated recall interviews. Interview data revealed distinct teacher profiles involving differences in orientation to teaching and the teacher, learning and learners, and technology. These profiles corresponded to different teaching strategies and resulted in varying patterns of learner interaction in VC sessions. Teachers’ comments showed them to be guided by general rather than FL-specific pedagogical principles, and pedagogical concerns frequently intersected with technical issues as teachers learned to exploit the new VC technology. While most teachers valued spontaneous FL interaction as a key VC affordance, the filmed sessions revealed little unplanned learner-learner communication. This finding is related to teachers’ views of second language acquisition as product rather than a process; for more learner-centred teachers, spontaneity was affected by rehearsal, and for more teacher-oriented practitioners, sustained teacher intervention influenced patterns of learner participation. In addition to these classroom findings, the study highlights the value of this type of participant research in facilitating the exchange of resources and expertise, classroom video footage, and participants’ comments and queries, and thus contributing to professional development in CALL and CMC-based teacher education.

The technologies demonstrated at the InSTIL and EUROCALL 2000 conferences were very inspiring. They gave participants the sense that the technologies of their wildest imaginations are at last materializing, particularly in long awaited advances in speech technologies. Some challenges, however, remain ahead as attempts are made to put these technologies to use in CALL. Past experience demonstrates for example that software designed for recognition of a proficient speaker’s language is different than that required for learner language. It is also evident that while language use may be critical for language acquisition, language use does not necessarily indicate language acquisition. These points were made by Marty, who was working with speech software for French teaching a few years before the current excitement:

...[W]e should keep in mind that the present research and development is aimed only at producing speech easily understandable by natives (e.g., English for native speakers of English) and that the potential markets are industrial (e.g., replacing visual indicators or visual alarms with audio warnings) and in home products (especially toys). Until our needs for improved FL instruction are better understood, it is not likely that those devices will have the voice quality we need. (Marty, 1981:52).

If Marty had attended the InSTIL and EUROCALL conferences in 2000, no doubt he would have been very, very impressed. Even though plenty of work remains, we do seem to have very good voice quality in speech synthesis. The question today is how can we best use these emerging technologies, and so Marty’s suggestion that we must better understand our needs in foreign language teaching remains very relevant. What are the needs for foreign language teaching in the 21st century? The papers at EUROCALL 2000 as well as other work in technology, business, and language teaching suggest that we should be prepared for change in the coming years, but what kind of change? The turn of the century seems an appropriate time to examine some of the speculation on the future of language teaching in general, as well as how technology fits into that future. This paper considers these general questions, and then suggests ways in which links might be made between work in second language acquisition (SLA) and CALL in order to put technologies to use for L2 teaching.

This paper focuses on automatically assessing language proficiency levels according to linguistic complexity in learner English. We implement a supervised learning approach as part of an automatic essay scoring system. The objective is to uncover Common European Framework of Reference for Languages (CEFR) criterial features in writings by learners of English as a foreign language. Our method relies on the concept of microsystems with features related to learner-specific linguistic systems in which several forms operate paradigmatically. Results on internal data show that different microsystems help classify writings from A1 to C2 levels (82% balanced accuracy). Overall results on external data show that a combination of lexical, syntactic, cohesive and accuracy features yields the most efficient classification across several corpora (59.2% balanced accuracy).

In this study, we used a data-mining approach to identify hidden groups in a corpus-based second-language (L2) vocabulary experiment. After a vocabulary pre-test, a total of 132 participants performed three online reading tasks (in random orders) equipped with the following glossary types: (1) concordance lines and definitions of target lexical items, (2) concordance lines of target lexical items, and (3) no glossary information. Although the results of a previous study based on variable-centred analysis (i.e. multiple regression analysis) revealed that more glossary information could lead to better learning outcomes (Lee, Warschauer & Lee, 2017), using a model-based clustering technique in the present study allowed us to unearth learner types not identified in the previous analysis. Instead of the performance pattern found in the previous study (more glossary led to higher gains), we identified one learner group who exhibited their ability to make successful use of concordance lines (and thus are optimized for data-driven learning, or DDL; Johns, 1991), and another group who showed limited L2 vocabulary learning when exposed to concordance lines only. Further, our results revealed that L2 proficiency intersects with vocabulary gains of different learner types in complex ways. Therefore, using this technique in computer-assisted language learning (CALL) research to understand differential effects of accommodations can help us better identify hidden learner types and provide personalized CALL instruction.