This study examines the comprehension of verbal passives by children acquiring European Portuguese, in particular with respect to the predictions of the Universal Phase Requirement (UPR) and the Universal Freezing Hypothesis (UFH) regarding children's performance with different types of predicates. Both hypotheses entail the prediction that…

ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…

Learning vocabulary is a central but yet complex aspect of learning a language. Hence, researchers stress the importance of facilitating vocabulary development via a structured approach to target words and recycling. While teaching materials have the potential to provide this structure to all students in a classroom, few studies have investigated…

As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…

Foreign language anxiety has influenced reading achievement in English as a second language learning (ESL). However, less is known about how foreign language anxiety affects Chinese students learning English as L2 and the interplay between foreign language anxiety and cognitive-linguistic factors on L2 reading performance. This longitudinal study…

Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…

Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…

While evidence has accumulated to support the argument of shared computational mechanisms underlying language comprehension between humans and large language models (LLMs), few studies have examined this argument beyond native-speaker populations. This study examines whether and how alignment between LLMs and human brains captures the homogeneity…

Clinical teaching is vital for preservice teacher (PST) development, yet field supervisors' roles are understudied. This study analyzes over 11,000 supervisor evaluations and PST reflections from a Texas teacher preparation program using large language models to extract measures of feedback quality and content. Supervisor feedback often lacks key…

Artificial intelligence tools such as ChatGPT have emerged as a disruptive force in higher education. Stakeholders are debating the integration and relevance of AI in education to improve student learning outcomes. Further investigation is needed to determine not only the pedagogical impact but also address issues such as ethics, bias, and…

In this study, I analyze how 15 world language (WL) preservice and in-service teachers in the United States negotiated the concept of translanguaging in an online, asynchronous educational linguistics class. Integrating language orientations, an ecological model of language teacher agency, a critical reflection framework, and a critical…

The "(M)other Tongue" project is a contribution to research in applied linguistics on the use of generative intelligent tools (AI) for additional language learning. 2023 saw the commercialisation on-line of several AI-enabled multilingual video services, with at least one including lip-synchronisation and translation functions. The…

American Norwegian (AmNo), a moribund heritage variety of Norwegian spoken predominantly in the Upper Midwest of the US, licenses "wh"-infinitives (i.e. indirect questions), which are structures that are not acceptable in either standard Norwegian Bokmål or Norwegian dialects. Adopting a spanning-account of syntax (Blix, 2021; Julien,…

Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

Heritage language (HL) learning is often facilitated by consistent exposure to the HL in family language policy (FLP). However, when children develop a preference for the majority language, family members may negotiate their use of both languages to establish a stronger emotional bond with their children while providing rich HL input. This article…