The Comprehensive Test of Phonological Processing, 2nd Edition (CTOPP-2; Wagner et al., 2013) is commonly used in k-12 public schools to assess basic cognitive processing skills foundational for reading achievement. Psychometric support for its use with dual language learners (DLLs), a group representing over 10% of the school-aged population in…

The study investigates the relationship between lexical encoding and production in order to establish whether learners are able to produce a difficult contrast in words that they merged in their mental lexicon. Forty American English learners of Russian were tested on their production and lexical encoding of familiar and highly-frequent words with…

Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…

This study investigated the relationship between a metaphor-based approach to teaching English as a foreign language (EFL) and involvement of the brain's right hemisphere. Specifically, it examined learners' understanding of three levels of sureness associated with different expressions in English -- those that are "certain,"…

Background/purpose: ChatGPT is an artificial intelligence program released in November 2022, but even now, many studies have expressed excitement or concern about its introduction into academia and education. While there are many questions to be asked, the current study reviews the literature in order to reveal the potential effects of ChatGPT on…

The ability to encode (spell) is an integral writing skill needed to communicate effectively. The ability to spell, also, enhances decoding as spelling and decoding are reciprocal skills that rely on knowledge of the same subskills. Spelling can also be particularly difficult for students with literacy and phonological-processing difficulties such…

In this study, we have explored the ways in which small-group work in science can contribute to strengthen multilingual students' subject language and conceptual development when working with language-oriented classroom activities in primary classrooms. The aim is to determine whether it is possible to identify factors in interactions in…

Background: This research is inspired by the challenges encountered in interpreter training, changes in learning needs in the technological era, the educational paradigm shift caused by the COVID-19 pandemic, the lack of studies on combining virtual reality (VR)_and mobile technologies, and literature gaps in the field of the incorporation of…

Son and daughter metaphorical expressions are common in general as well as technical languages. This study explores the similarities and differences between English and Arabic ibn (son) and bint (daughter) expressions, and the difficulties that student-translators have with them. A corpus of English and Arabic general ibn (son) and bint (daughter)…

This dissertation uses the Conceptual Blending Hypothesis from the socio-cognitive method presented and refined by Kecskes (2002, 2004, 2007, 2010, 2020) to explain how the lexical choice of bilinguals differs across sociocultural situations. Quantitative (lexical density, lexical diversity, and lexical sophistication) and qualitative (lexical…

This paper investigates the role of interpreters in addressing cultural differences in the context of a cross-cultural collaborative teacher professional development project. Based on positioning theory, this study employed interpreter-mediated interactions and interviews to reveal the complex roles that interpreters played when interpreting…

As the final phase of the translation process, self-revision has traditionally been a relatively neglected component despite it being widely acknowledged as critical to achieving high-quality translation and in translator training. To identify effective educational interventions for self-revision, the current paper reports on a study that…

Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…

This special issue is a testament to the recent burgeoning interest by theoretical linguists, language acquisitionists and teaching practitioners in the neuroscience of language. It offers a highly valuable, state-of-the-art overview of the neurophysiological methods that are currently being applied to questions in the field of second language…