ChatGPT is a generative Artificial Intelligence (AI) that can produce a variety of outputs, including solutions to problems. Prior research shows that for students to learn from instructional content, they need to actively process the content. To date, existing research has focused on student explanations expressed in words (either spoken or…

Purpose: Individuals with developmental language disorder (DLD) often exhibit slower processing on time-based tasks in comparison with age-matched peers. Processing speed has been linked to various linguistic skills and might serve as a global indicator of individual differences in language abilities. Despite an extensive literature on processing…

Background: It is assumed that language impairments post-stroke do not show much improvement after the phase of spontaneous recovery, especially in the chronic stage. Several studies have reported language recovery and factors influencing it in the acute stages of stroke. There is limited literature focusing on language recovery in the chronic…

Collocational priming is a priming effect induced by collocationally related words; it has been taken to explain the cognitive reality of collocation. Collocational priming has largely been observed in first language (L1) speakers, whereas work on the representation of collocation in a second language (L2) is still limited. In the present study,…

The latest mutation of Artificial Intelligence, Generative AI, is more than anything a technology of writing. It is a machine that can write. In a world-historical frame, the significance of this cannot be understated. This is a technology in which the unnatural language of code tangles with the natural language of everyday life. Its form of…

In the last two decades, computational thinking has gained wide relevance in international educational systems. The inclusion of this new type of thinking poses educational challenges with some underlying research questions that need to be answered to meet these challenges with quality. Thus, this study focuses on analyzing the difficulties that…

Both classic thought experiments and recent empirical evidence suggest that children frequently encounter new words whose meanings are underdetermined by the extralinguistic contexts in which they occur. The role that these referentially ambiguous events play in children's word learning is central to ongoing debates in the field. Do children learn…

In recent years, the pre-training of Large Language Models (LLMs) in the educational domain has garnered significant attention. However, a discernible gap exists in the application of these models to mathematics education. This study aims to bridge this gap by pre-training LLMs on authentic K-12 mathematical dialogue datasets. Our research is…

Large language models (LLMs) hold significant potential to enhance online learning by automating responses to learner queries and offering personalized, scalable support. However, concerns about bias in LLM-generated responses present challenges to their ethical and equitable use in educational settings. This study explores fairness and…

Data extraction is a time-consuming and resource-intensive task in the systematic review process. Natural language processing (NLP) artificial intelligence (AI) techniques have the potential to automate data extraction saving time and resources, accelerating the review process, and enhancing the quality and reliability of extracted data. In this…

People with aphasia may produce speech errors or pauses during speaking turns. A communication partner may choose to guess the person's intended meaning, or may allow the person time to repair their turns (i.e., edited turns). The aim of this study was to understand the topic-related effects that occur when speakers without aphasia allow their…

In standard models of language production or comprehension, the elements which are retrieved from memory and combined into a syntactic structure are "lemmas" or "lexical items". Such models implicitly take a "lexicalist" approach, which assumes that lexical items store meaning, syntax, and form together, that…

Background: Cleft lip and palate is one of the most common oral and maxillofacial deformities associated with a variety of functional disorders. Cleft palate speech disorder (CPSD) occurs the most frequently and manifests a series of characteristic speech features, which are called cleft speech characteristics. Some scholars believe that children…

Question generation (QG) task plays a crucial role in adaptive learning. While significant QG performance advancements are reported, the existing QG studies are still far from practical usage. One point that needs strengthening is to consider the generation of question group, which remains untouched. For forming a question group, intrafactors…

Most of the world's languages include multiple varieties and dialects. Individual ability to successfully alternate between these varieties can be a socio-cultural and academic necessity for many bilingual speakers, including children in the US who alternate between African American English (AAE) and Mainstream American English (MAE). This…