In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as "Science," have banned the use of LLMs because of the ethical problems they raise concerning…

Young children can exploit the syntactic context of a novel word to narrow down its probable meaning. This is "syntactic bootstrapping." A learner that uses syntactic bootstrapping to foster lexical acquisition must first have identified the semantic information that a syntactic context provides. Based on the "semantic seed…

The current study investigated the nuances among Qur'anic near-synonyms and the reflection of such semantic differences in English and French translations. Initially, it aimed to highlight the contextual meanings of the selected sets of Qur'anic near-synonyms in the light of the exegeses of the Holy Qur'an. Moreover, it explicated the nuances…

The present study used a repetition priming paradigm to investigate the basic morphological units stored in mental lexicon for Chinese as second language learners (L2) and Chinese native speakers (L1). Meanwhile, the modulation of Chinese morpheme property (bound or free) in lexical processing was examined. The results revealed that for…

Background: Competency models provide useful frameworks for organizing learning and assessment programs, but their construction is both time intensive and subject to perceptual biases. Some aspects of model development may be particularly well-suited to automation, specifically natural language processing (NLP), which could also help make them…

Research examining rule formation and second language (L2) explicit knowledge during guided inductive instruction has focused on co-constructed metalanguage or depth of processing (DoP) using think-aloud protocols, but without analyzing rule features. Studies have not focused on the architecture of the rules that L2 learners create individually.…

Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of…

Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…

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…

People often speak indirectly. For example, "It's cold in here" might be intended not only as a comment on the temperature but also as a request to turn on the heater. How are comprehenders' inferences about a speaker's intentions informed by their ability to reason about the speaker's mental states, that is, "mentalizing?" We…

In educational research, there is a growing interest in functional magnetic resonance imaging (fMRI) to examine students' levels of processing. As there is a growing interest in the use of fMRI, a systematic review was conducted to examine how deep and surface levels of processing are operationalized within the neuroscientific field. In addition,…

Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…

This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their…

The radical exemplar model resonates with work on perceptual classification and categorization highlighting the role of exemplars in memory representations. Further development of the model requires acknowledgment of both the fleeting and fragile nature of perceptual representations and the gist-based, good-enough quality of long-term memory…

Although translation may be considered the "sine qua non" of bilingual legislation, the perceived authenticity and equivalence of different language versions of the same law are contingent on the disavowal of translation. Yet precisely because of such disavowal, translated versions of law are paradoxically valorized as equal in meaning…