Research on "parentese," the acoustically exaggerated, slower, and higher-pitched speech directed toward infants, has mostly focused on maternal contributions, although it has long been known that fathers also produce parentese. Given recent societal changes in family dynamics, it is necessary to revise these mother-centered models of…

Technological advances have made the ability to translate no longer exclusively belong to humans. Today, machine translation has turned into a tool with superior performance to convert text between languages without the need for human intervention. One of the translation research foci is the studies of causative translation, especially from…

The world's linguistic diversity is severely underrepresented in research on cognitive and neural aspects of language processing, with great consequences for our understanding of the relationship between language, cognition, and the human brain. The practical challenges of carrying out neurophysiological (but also behavioral) experiments under…

This study evaluates Large language models (LLMs)' performance on Chinese Postgraduate Medical Entrance Examination (CPGMEE) as well as the hallucinations produced by LLMs and investigate their implications for medical education. We curated 10 trials of mock CPGMEE to evaluate the performances of 4 LLMs (GPT-4.0, ChatGPT, QWen 2.1 and Ernie 4.0).…

Friday sermons portray patterns of lexical cohesion which can demonstrate how effective communication is achieved. This study proposes a model of lexical cohesion that fits the spoken discourse of Friday sermons in the United Arab Emirates (UAE). To that end, a corpus of 25 sermons was analyzed to identify patterns of cohesion and show the impact…

Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

Knowledge of derivational affixes makes an important contribution to second language learners' success when reading. Yet while the effects of some learner variables (L2 proficiency, L1 background) have been investigated, there has been little research addressing the effects of varying characteristics of affixes on their acquisition. The goal of…

Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…

In the field of education, the think-aloud protocol is commonly used to encourage learners to articulate their thoughts during the learning process, providing observers with valuable insights into learners' cognitive processes beyond the final learning outcomes. However, the implementation of think-aloud protocols faces challenges such as task…

This study explores the identification of discourse communities within mathematics education using factor analysis. Given the exponential growth in mathematics education research, understanding the evolving dialogues within the field has become increasingly challenging. This study employs a systematic literature review, examining the landscape of…

Research has identified a particularly useful lexicogrammatical resource that language learners need in order to develop academic literacy, that of grammatical metaphor (GM). GM enables the wordy expression characteristic of informal, spoken discourses to be reorganized into the cohesive and abstracted expression valued in academic texts. Although…

The past thirty years have shown a rise in models of language acquisition in which the state of the learner is characterized as a probability distribution over a set of non-stochastic grammars. In recent years, increasingly powerful models have been constructed as earlier models have failed to generalize well to increasingly complex and realistic…

Vocabulary knowledge has been recognized as a crucial component in learning and teaching of both native and non-native learners, text understanding, and educational success (Coxhead, 2018; Saeedi et al., 2023; Schmitt et al., 2021), leading to the development of word lists for different purposes. Hence, this study aimed at developing a newspaper…