This paper reports on ongoing research aimed at characterizing a signature pedagogy (Shulman, 2005) of technology-enhanced task-based language teaching (TETBLT). To achieve this goal, we initially identified 15 pedagogical principles and practices distinctive of TETBLT. This initial set of principles and practices were motivated by second language acquisition theories (Doughty & Long, 2003), methodological approaches in foreign language teaching (Kramsch, 2014), and state-of-the-art publications on computer-assisted language learning (Chapelle & Sauro, 2017). During the first phase of the study, we consulted an initial group of 34 experts in the field, using the Delphi technique to achieve gradual consensus about the set of principles. After analyzing the first set of responses (N = 23) to the principles, which attained a degree of agreement averaging 71% and ranging from 48% to 96%, we refined the principles incorporating the feedback received and sent out a second questionnaire, which allowed us to reach a consensus about a set of eight robust pedagogical principles for TETBLT.

Given the importance of corpus linguistics in language learning, there have been calls for the integration of corpus training into teacher education programmes. However, the question of what knowledge and skills the training should target remains unclear. Hence, we advance our understanding of measures and outcomes of teacher corpus training by proposing and testing a five-component theoretical framework for measuring teachers’ perceived corpus literacy (CL) and its subskills: understanding, search, analysis, and the advantages and limitations of corpora. Also, we hypothesised that teacher CL is linked to their intention to use corpora in classroom teaching. Specifically, 183 teachers and student teachers received corpus training to develop their CL and then completed a survey to measure their CL and intention to use corpora in teaching in Likert-scale items together with open-ended questions. Confirmatory factor analysis indicated that a hierarchical factor structure for CL using the aforementioned five subfactors best fitted the data. Moreover, structural equation modelling indicated that CL is positively linked to the participants’ intention to integrate corpora into classroom teaching. While all five subskills are important for teachers, greater effort should be made to develop their corpus search and analysis skills, which can be viewed as the “bread and butter” of corpus training.

Corpus-based language teaching is one area of second language (L2) pedagogy in which L2 teachers may benefit from extensive guidance on how to integrate digital tools into pedagogical practices. Direct corpus approaches like data-driven learning (DDL) cultivate learner engagement and language discovery. However, second language writing (SLW) teachers face significant challenges using corpora in the classroom, and these challenges often go unaddressed in language teacher education, particularly for in-service teachers. This paper reports on a case study in which six university SLW teachers participated in an online corpus-based pedagogy workshop. Teachers developed DDL activity plans and wrote in reflective diaries. The analysis of these artifacts shows that the teachers tended to follow one of two paths toward knowledge integration, as either Planners or Seekers, when implementing corpus activities in their classrooms. The teachers also reported increased confidence in applying direct corpus methods to their lessons by the end of the workshops, though they expressed the need for continued, long-term support.

Virtual exchange (VE) is an ideal venue for digital literacy skills development (Fuchs, Hauck & Müller-Hartmann, 2012) and for critical digital literacy (CDL) (Hauck, 2019). Yet literacy is a fluid, deictic term, the meaning of which is context dependent, and digital literacies need to be defined and conceptualised within a specific context. Recent CALL literature highlights the interest in CDL from various perspectives, but how CDL is conceptualised by the VE participants themselves is not explored. Participants of this study were 37 trainee English language teachers in the UK and Turkey who joined a 6-week VE. Their ongoing reflections on CDL were captured through reflective e-portfolio entries following each VE task. Thematic analysis revealed four components of CDL in this specific VE: (1) participants’ awareness of digital affordances for self-expression, (2) semiotic and interactional means to build connections, (3) ensuring inclusiveness of all community members, and (4) implications of socio-political contexts of each participant for meaning-making and interaction. We conclude that in future pedagogical implementations of VE, facilitators can foster trainee teachers’ CDL development through more closely guided and informed reflection on the four themes presented in this paper. As such, this study makes a novel contribution to our understanding of CDL in VE settings for ELT teacher education by offering a social semiotic second language acquisition orientation within an interpretivist paradigm.

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.

An increasing number of studies are exploring the benefits of automatic speech recognition (ASR)–based dictation programs for second language (L2) pronunciation learning (e.g. Chen, Inceoglu & Lim, 2020; Liakin, Cardoso & Liakina, 2015; McCrocklin, 2019), but how ASR recognizes accented speech and the nature of the feedback it provides to language learners is still largely under-researched. The current study explores whether the intelligibility of L2 speakers differs when assessed by native (L1) listeners versus ASR technology, and reports on the types of intelligibility issues encountered by the two groups. Twelve L1 listeners of English transcribed 48 isolated words targeting the /ɪ-i/ and /æ-ε/ contrasts and 24 short sentences that four Taiwanese intermediate learners of English had produced using Google’s ASR dictation system. Overall, the results revealed lower intelligibility scores for the word task (ASR: 40.81%, L1 listeners: 38.62%) than the sentence task (ASR: 75.52%, L1 listeners: 83.88%), and highlighted strong similarities in the error types – and their proportions – identified by ASR and the L1 listeners. However, despite similar recognition scores, correlations indicated that the ASR recognition of the L2 speakers’ oral productions mirrored the L1 listeners’ judgments of intelligibility in the word and sentence tasks for only one speaker, with significant positive correlations for one additional speaker in each task. This suggests that the extent to which ASR approaches L1 listeners at recognizing accented speech may depend on individual speakers and the type of oral speech.

Video materials require learners to manage concurrent verbal and pictorial processing. To facilitate second language (L2) learners’ video comprehension, the amount of presented information should thus be compatible with human beings’ finite cognitive capacity. In light of this, the current study explored whether a reduction in multimodal comprehension scaffolding would lead to better L2 comprehension gain when viewing captioned videos and, if so, which type of reduction (verbal vs. nonverbal) is more beneficial. A total of 62 L2 learners of English were randomly assigned to one of the following viewing conditions: (1) full captions + animation, (2) full captions + static key frames, (3) partial captions + animation, and (4) partial captions + static key frames. They then completed a comprehension test and cognitive load questionnaire. The results showed that while viewing the video with reduced nonverbal visual information (static key frames), the participants had well-rounded performance in all aspects of comprehension. However, their local comprehension (extraction of details) was particularly enhanced after viewing a key-framed video with full captions. Notably, this gain in local comprehension was not as manifest after viewing animated video content with full captions. The qualitative data also revealed that although animation may provide a perceptually stimulating viewing experience, its transient feature most likely taxed the participants’ attention, thus impacting their comprehension outcomes. These findings underscore the benefit of a reduction in nonverbal input and the interplay between verbal and nonverbal input. The findings are discussed in relation to the use of verbal and nonverbal input for different pedagogical purposes.

This study investigates the communication strategy (CS) use of English as a foreign language (EFL) learners in videoconferencing (VC), virtual world (VW), and face-to-face environments. The study was conducted with 30 senior Turkish undergraduate EFL students. The data were collected via video and audio recordings of three opinion-exchange tasks, a background and post-task questionnaire, and an interview that includes a retrospective think-aloud protocol. The participants worked in groups of five to complete the opinion-exchange tasks in each of the three environments. The findings indicated that the participants made use of a wide range of CSs, and although some of the CSs differed, mostly the same types were employed in all the environments. However, the results revealed that the frequency of CSs showed variance among environments, with the highest number in the VC environment and the lowest in the VW. It was possible to establish a connection between the differences in the frequency and the types of strategy use with the distinctive features of the environments, the proficiency level of the participants, and the type of the tasks that was utilized. Additively, 10 new strategy types were discovered.