While developmental dyslexia has been extensively studied in children, research on adults is still rather limited. This paper aims to bridge the gap in existing research by presenting the findings of a study that examined the reading and spelling skills of adults with dyslexia and assessed the effectiveness of a linguistic intervention designed to…

This research aims to address the current gaps in computer-assisted translation (CAT) courses offered in bachelor's and master's programmes in scientific and technical translation (STT). A multi-framework course design methodology is proposed to support CAT teachers from the computer engineering field, improve student engagement, and promote…

Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…

Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

The enormous developments in technology and hence the widespread use of hand-held devices in the last few decades have led to great interest in mobile-assisted language learning (MALL) as a new way of language education. MALL is considered an effective method particularly for young language learners due to their higher level of familiarity with…

Given the important technology-assisted language learning (TALL)-empowered affordances, a comprehensive understanding of how these TALL tools facilitate learning across different language components, e.g., phonology, morphology, syntax, semantics, and pragmatics, could not only present the panoramic scenery of the subject matter but also inform…

This study aims to investigate the effectiveness of explicit information (EI) in the context of Processing Instruction (PI) as an alternative to traditional teaching methods. PI encompasses explicit information and structured input activity (SI). However, the effectiveness of EI has been a subject of debate. To address this question, grade-7…

With advancements in technology, the role of the translator has expanded beyond traditional language skills to include expertise in tools such as machine translation, computer-assisted translation (CAT), and natural language processing. As the field embraces digital innovation, new pedagogical approaches emerge that combine theory with hands-on…

The development of corpus-based language pedagogy (CBLP) is a complex and intriguing process that pertains to how corpus technology is directly applied to classroom teaching. Using a case study approach, this study investigated how two experienced university English teachers integrated corpus technology in authentic classroom teaching. Data…

For many Indigenous Nations and organizations, computer-assisted language learning (CALL) courses have become an effective means to support Indigenous language revitalization and reclamation (ILR) efforts. Engaging a methodology of storywork and highlighting relationships between relevant fields of ILR, CALL, and applied linguistics, this article…

Incorporating technology with linguistics has created opportunities to explore the effectiveness of grammar checkers in cultivating an autonomous learning culture among English as a second language (ESL) and English as a foreign language (EFL) learner. Even though there have been numerous studies on grammar checkers to cultivate autonomous…

Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…

This book provides a comprehensive overview of research in applied linguistics involving the intersection of digital multimodal composing (DMC) and second language (L2) writing. It presents a theoretically and methodologically diverse introduction to key theories and scholarship supporting DMC's use, along with practical pedagogical tips and tools…

This volume presents the second edition of the "Communicative Orientation of Language Teaching (COLT) Observation Scheme." Since the book's original publication, COLT has become well established as a research instrument in L2 teaching and learning. This new edition brings COLT into the 21st century by introducing digital versions of the…

Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…