This study adds to the literature on computer-mediated communication (CMC) by examining the impact of online voice recording (VR) activities and peer-to-peer videoconferencing (VC) conversations on the development of beginning Spanish learners’ speaking performance. Specifically, this paper explores (1) whether VR and VC activities promote oral proficiency, and if so, whether those gains can be seen both in presentational and interpersonal modes of communication; and (2) whether VR and VC activities foster oral proficiency in similar ways to face-to-face (F2F) communication. A quasi-experimental, pre-/post-test design was used in the study. Three sections of a first semester Spanish course were assigned to one of the following conditions: F2F, VR, and VC. Complexity, accuracy, and fluency measures were used to analyze learners’ speaking performance in the two tasks. A mixed effects model analysis was used to investigate differences across time as well as among groups. Results show that both F2F communication and VR activities promote complexity and fluency in presentational tasks and fluency in interpersonal tasks, although F2F produces superior results regarding complexity in presentational tasks. VC activities promote complexity and fluency in presentational tasks and complexity, accuracy, and fluency in interpersonal tasks. Overall, this study shows that medium is not merely a delivery device but has important implications for learning outcomes. In this sense, these findings contribute to answering the wider question of how the use of technology in second language instruction plays a decisive role in current teaching practices.

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.

This study investigates the potential of a podcast-based approach aimed at helping foreign language learners improve their pronunciation of features that tend to be fossilised in their interlanguage. Training took place over a period of three weeks in which podcasts were used for perceptual and productive practice as well as for peer evaluation. Participants in this study (N=47) were randomly assigned to two groups that acted as control and experimental at the same time. One group received training on the English /s – z/ contrast and the other one was trained on the pronunciation of English /b d g/ as stops in intervocalic position. Pre- and post-tests were used to measure the participants’ perception and production of the target features. The results show that training had a positive impact on the participants’ perception and production of the target sounds. Even though the differences between groups did not reach statistical significance for every sound in every task, the data reveal that the approach adopted could foster substantial improvements in the participants’ pronunciation of features that tend to be fossilised, even after short periods of training.

Many studies have demonstrated that vocabulary size plays a key role in learning English as a foreign language (EFL). In recent years, mobile game-based learning (MGBL) has been considered a promising scheme for successful acquisition and retention of knowledge. Thus, this study applies a mixed methodology that combines quantitative and qualitative approaches to assess the effects of PHONE Words, a novel mobile English vocabulary learning app (application) designed with game-related functions (MEVLA-GF) and without game-related functions (MEVLA-NGF), on learners’ perceptions and learning performance. During a four-week experiment, 20 sophomore students were randomly assigned to the experimental group with MEVLA-GF support or the control group with MEVLA-NGF support for English vocabulary learning. Analytical results show that performance in vocabulary acquisition and retention by the experimental group was significantly higher than that of the control group. Moreover, questionnaire results confirm that MEVLA-GF is more effective and satisfying for English vocabulary learning than MEVLA-NGF. Spearman rank correlation results show that involvement and dependence on gamified functions were positively correlated with vocabulary learning performance.

Even though current technologies allow for automated feedback, evaluating content and generating discourse-specific feedback is still a challenge for automated systems, which explains the gap in research investigating the effect of such feedback. This study explores the impact of automated formative feedback on the improvement of English as a second language (ESL) learners’ written causal explanations within two cause-and-effect essays and across pre- and post-tests. Pre- and post-test drafts, feedback reports for first and revised drafts from the automated writing evaluation system, and screen-capturing videos collected from 31 students enrolled in two sections of an advanced-low-level academic writing class were analyzed through descriptive statistics and the Wilcoxon signed-rank test. Findings revealed statistically significant changes in learners’ causal explanations within one cause-and-effect essay while no significant improvement was observed across pre- and post-tests. The findings of this study offer not only insights into how to further improve automated discourse-specific feedback but also pedagogical implications for better learning outcomes.

The use of videoconferencing technology to support the delivery of language programs shows great potential in regional and rural settings where a lack of access to specialist teachers limits equitable access to education. In this article, we investigate the establishment of two regional and rural primary school networks in Australia for videoconferenced language learning. Adopting a perspective taken from the discipline of information systems called structuration theory, we examine how the technology they use both changes and is changed by its use in language learning, and how schools and teachers take control of technology and adapt their educational approaches. Case studies were carried out on the two networks using multiple data sources, including interviews and observation of language classes. The findings reveal that even with the same conceptual foundations and aims, divergent models of practice emerge as sustainable adaptations to localised factors. These differences are shaped by, among other things, an interplay between the quality of infrastructure, prior knowledge, and the “material properties” of the technology, including its functions, limits, and deployment in physical space. A closer look at these practices illustrates limitations and possibilities specifically for language education, but also more broadly illustrates how the success of these videoconferencing initiatives are influenced by a nuanced combination of social, educational, and technological factors.