Artificial intelligence (AI)-based voice assistants have become an essential part of our daily lives. Yet, little is known concerning what motivates students to use them in educational activities. Therefore, this research develops a theoretical model by extending the technology acceptance model (TAM) with subjective norm, enjoyment, facilitating…

Neurophysiological sentence processing studies are inconsistent about the additional costs that language switching within sentences (i.e., codeswitching) may bring about (cf. Valdes Kroff et al., 2020; Yacovone et al., 2021). There is discussion about whether there are, in fact, additional costs and, if so, about the origins of those costs, since…

DEVS (Discrete Event System Specification) is a formalism that was introduced in the mid-1970s by Bernard Zeigler, for modeling and analysis of discrete event systems. DEVS is essentially a formal mathematical language for specifying complex systems through models that can be simulated and has been executed in object-oriented software, DEVSJava…

Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…

Fetal hearing experiences shape the linguistic and musical preferences of neonates. From the very first moment after birth, newborns prefer their native language, recognize their mother's voice, and show a greater responsiveness to lullabies presented during pregnancy. Yet, the neural underpinnings of this experience inducing plasticity have…

Background/purpose: ChatGPT, an AI-powered chatbot designed with generative pre-trained transformer architecture, have intrigued millions of people from diverse backgrounds since its first release, and generated excitement with its groundbreaking performance in numerous use cases they have been tested. Its ability to generate coherent and…

Background: Previous research has shown that the emotional content of words affects how quickly they are recognised. One recent measure of word emotionality is emotional experience that measures the degree to which reading a word can invoke emotional experiences tied to the word. Words that are higher in emotional experience are recognised more…

Robust relation has been revealed previously between the components of executive function (EF) and reading comprehension performance. However, the specific role of EF in the reading processes remains relatively underexplored. Within the framework of the lexical quality hypothesis (LQH), this study examined the contribution of EF to the lexical…

Purpose: Late talkers (LTs) are a group of children who exhibit delays in language development without a known cause. Although a hallmark of LTs is a reduced expressive vocabulary, little is known about LTs' processing of semantic relations among words in their emerging vocabularies. This study uses an eye-tracking task to compare 2-year-old LTs'…

The language comprehension system preferentially assumes that agents come first during incremental processing. While this might reflect a biologically fixed bias, shared with other domains and other species, the evidence is limited to languages that place agents first, and so the bias could also be learned from usage frequency. Here, we probe the…

Progress made in Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years has resulted in these tools becoming more accessible for individuals who lack professional training. Of particular note are large language models, such as OpenAI's GPT-3.5. Discussions of utilizing AI for language education usually focus on the…

The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society. This paper posits that the application of computational psychometrics can enable the incorporation of technology into language assessment,…

Purpose: Lexical processing impairments such as delayed and reduced activation of lexical-semantic information have been linked to syntactic processing disruptions and sentence comprehension deficits in individuals with aphasia (IWAs). Lexical-level deficits can also preclude successful lexical encoding during sentence processing and amplify the…

Many datasets resulting from participant ratings for word norms and also concreteness ratios are available. However, the concreteness information of infrequent words and non-words is rare. This work aims to propose a model for estimating the concreteness of infrequent and new lexicons. Here, we used Lancaster sensory-motor word norms to predict…

Understanding speech in an accent or dialect different than one's own can be challenging. McLaughlin and Van Engen (2020) were the first to quantify this increase in listening effort using Task Evoked Pupillary Response (TEPR), a common measure of cognitive arousal. They found that monolingual, English speaking adults' pupils dilated more quickly…