Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…

The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…

Social information is cognitively linked to linguistic information, evidenced by bidirectional influences on perceptual processing of speech. Models of sociophonetic cognition theorize that the way linguistic experiences are interpreted and stored in memory is mediated by listener attention, which is guided by ideology. This relationship, however,…

The rapidly evolving digital landscape, punctuated by the emergence of artificial intelligence (AI) and immersive technologies, is poised to reshape learning environments dramatically. This study explores the potential use of ChatGPT, a state-of-the-art language model developed by OpenAI, in Metaverse learning environments. It sheds light on…

In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…

The current study examined to what extent face and speech processing interact with each other and whether they enhance or impair the processing of the other in 5-year-olds (n = 51) and adults (n = 34). Using a computer-based speeded sorting task allowed to directly test the influence of auditory speech on face processing and the influence of face…

This paper introduces REFLECTSUMM, a novel summarization dataset specifically designed for summarizing students' reflective writing. The goal of REFLECTSUMM is to facilitate developing and evaluating novel summarization techniques tailored to real-world scenarios with little training data, with potential implications in the opinion summarization…

After ChatGPT was released late in 2022, many arguments about its accuracy and use in education arose. In this article, I seek to provide evidence of the accuracy and validity of ChatGPT's responses to users' queries in education by applying a systematic review methodology to analyse publications in specific databases following PRISMA guidelines…

Close reading, as Paula Moya (2016) writes, may remain the "most powerful discipline-specific tool we have at our disposal" (p. 9). At a time when the work of English teachers is threatened by many factors, including political polarization and the rise of artificial intelligence (AI), close reading may be the soundest way of unifying and…

Opioid use is common among Social Security Disability Insurance (SSDI) beneficiaries, who account for a disproportionate share of opioid-related hospitalizations and mortality in the United States. However, little is known about the prevalence of opioid use prior to SSDI enrollment. Understanding when opioid use is established and how it…

Illusions of grammaticality have often been used to probe the properties of the human sentence processor in syntactic activities like subject--verb agreement, reflexive binding, and negative polarity item (NPI) licensing. Originally, NPI licensing in processing was thought to be a product of cue-based retrieval. Mounting evidence that the NPI…

We tested two accounts of the cognitive process underlying the N400 event-related potential component: one that it reflects meaning-based processing and one that it reflects the processing of specific words. The experimental design utilized separable Persian phrasal verbs, which form a strongly probabilistic, long-distance dependency, ideal for…

The integration of semantic information of compound words with context is a crucial aspect of reading comprehension. In two eye-tracking experiments, we used two-character and four-character Chinese lexicalized and novel compound words to investigate how Chinese readers integrate semantic information of compound words with contexts in the present…

The present dissertation reports two experiments that investigate the processing of English wh-dependencies by including language-specific (experiment I) and domain-general (experiment II) factors. We looked into both event-related brain potentials (ERPs) and time-frequency representations (TFRs) of the EEG signal so as to obtain a more thorough…

It is well known that persons with aphasia (PWA) demonstrate deficits in sentence processing. Specifically, many show difficulties with syntactic re-analysis, or the ability to revise one's interpretation of a sentence due to a temporary ambiguity. Emerging evidence suggests that structural priming, individuals' tendency to unconsciously re-use a…