Corpus analysis methods have been widely employed in literary translation research by numerous scholars. However, their integration into literary translation training has yet to be developed. With the advancement of AI technology, this paper explores the potential of employing AI-enhanced corpus text analysis and text mining techniques in this…

We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify…

Recent developments in natural language processing have led to the creation of large language models, such as ChatGPT, which could generate human-like text. In this paper, we explore the potential implications of ChatGPT for language learning in higher education. We first provide an overview of ChatGPT and discuss its capabilities and limitations.…

Application of psycholinguistic insights initiated a long career researching how children learn to read words. A theory was proposed claiming that spellings of individual words are stored in memory when their graphemes become bonded to phonemes in their pronunciations along with meanings, and this enables readers to read stored words automatically…

A key factor that affects whether and at what age children can demonstrate an understanding of false belief and complement-clause constructions is the type of task used (whether it is implicit/indirect or explicit/direct). In the current study, we investigate, in an implicit/indirect way, whether children understand that a story character's belief…

The present quasi-experimental study investigated which component of processing instruction (PI) is responsible for its beneficial effects and whether EFL learners with different learning styles similarly benefit from PI components. In doing so, a sample of 67 first-year students took part in a study with a non-equivalent control group…

With artificial intelligence (AI) technologies making significant evolutions over the past few years, there is a growing need for advertising students to get familiarized with the different types of AI technologies and explore and experiment with ways to adapt to such changes. This article illustrates the development and implementation of the…

Little is known about how nonnative speakers process novel language patterns in the input they encounter. The present study examines whether nonnatives develop a sensitivity to novel binomials and their ordering preference from context. Thirty-nine nonnative speakers of English (L1 Arabic) read three short stories seeded with existing binomials…

EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…

Writing and reading are two interconnected literacy skills. In English as a foreign language (EFL) mixed-ability classes, the process genre approach (PGA) has become necessary for EFL students to exchange skills and processes of reading with writing academic paragraphs. This study examines and correlates the achievement scores of academic…

The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…

In recent decades, flipped learning has been adopted by teachers to improve learning achievement. However, it is challenging to provide all students with instant personalised guidance at the same time. To address this gap, based on Chat Generative Pre-trained Transformer (ChatGPT) and the learning scaffolding theory, I developed a ChatGPT-based…

Mexico faces significant challenges concerning the digital divide and language-related proficiencies. Considering transformative technologies like ChatGPT, it becomes imperative to examine their implications for Mexican universities. This study is situated within the context of campus 095 at the National Pedagogical University (UPN), aiming to…

Student performance on open-response calculations involving acid and base solutions before and after instruction in general chemistry and analytical chemistry courses was compared with the output from the artificial intelligence chatbot ChatGPT. Applying a theoretical model of expertise for problem solving that includes problem conceptualization,…

Subtitling is one of the most commonly employed types of audiovisual translation, for being cheaper and easier to be compared with other types, and also being adopted as the process of rendering aural, visual, and written modes into one single mode of communication, The current study is a translation analysis of the first fifty minutes of the…