Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

This paper presents the results of a brief mixed-methods intervention which sought to modify the production of prominence-related features in L2 English by four native French-speaking university lecturers, in read-aloud speech. Selected parts of participants' productions were acoustically modified and then used as the model in a Listen-and-Repeat…

If ever there was an appropriate time to reassess models of instructional delivery for language learning, that time is now. The coronavirus pandemic has led to a public health crisis, countless grieving families, and to a social order and private lives turned upside down. Many have lost their livelihoods, as businesses and governments struggle to…

In this paper we explore and identify emerging patterns of synchronous digital discourse trajectories between dyads of native (NS) and non-native speakers (NNS), with a particular focus on (absence of) negotiated interaction. We will present a new model of L2 learning interaction that is a schematic representation of two main types of hearer…

Second language (L2) request production has long been a central area of inquiry in interlanguage pragmatics, including how L2 learners mitigate their requests and whether such strategies correspond to or differ from those of first language (L1) speakers. Methodologically, such research often involves elicited speech and tends to isolate the speech…

Critical to maximizing the potential of technology for learning is enhancing language learners' self-directed use of technology for learning purposes. This study aimed to enhance our understanding of the determinants of self-directed technology use through the construction of a structural equation modelling (SEM) framework of factors and…

This study investigated the impact of a CALL teacher education workshop guided by the TPACK-in-Action model (Tai, 2013). This model is framed within Technological Pedagogical Content Knowledge (TPACK, Mishra & Koehler, 2006) and advocates a learning-by-doing approach (Chapelle & Hegelheimer, 2004) to understand how English teachers develop…

Although the concept of ubiquitous technologies has been introduced to many parts of society, there have been limited applications, and little is known about learners' behavior toward ubiquitous technologies, particularly in the context of English learning. This study considers a sample of Korean students to identify the key factors that influence…

This study explores the potential for automated indices related to speech delivery, language use, and topic development to model human judgments of TOEFL speaking proficiency in second language (L2) speech samples. For this study, 244 transcribed TOEFL speech samples taken from 244 L2 learners were analyzed using automated indices taken from…

Discussion boards provide an interactive venue where new and future language teachers can reflect, evaluate, solve problems or simply exchange ideas (e.g., Bonk, Hansen, Grabner-Hagen, Lazar, & Mirabelli, 1996; DeWert, Babinski, & Jones, 2003; Kumari, 2001; Pawan, Paulus, Yalcin, & Chang, 2003). In addition, encouraging future teachers to learn…