Automatic grading of short answers is an important task in computer-assisted assessment (CAA). Recently, embeddings, as semantic-rich textual representations, have been increasingly used to represent short answers and predict the grade. Despite the recent trend of applying embeddings in automatic short answer grading (ASAG), there are no…

Autism Spectrum Disorder (ASD) is a heterogeneous condition associated with differences in functional neural connectivity relative to neurotypical (NT) peers. Language-based functional connectivity represents an ideal context in which to characterize connectivity because language is heterogeneous and linked to core features in ASD, and NT language…

ChatGPT is an AI tool that has sparked debates about its potential implications for education. We used the SWOT analysis framework to outline ChatGPT's strengths and weaknesses and to discuss its opportunities for and threats to education. The strengths include using a sophisticated natural language model to generate plausible answers,…

Artificial intelligence (AI), as an emerging technology, has been widely used in STEM education to promote the educational assessment. Although AI-driven educational assessment has the potential to assess students' learning automatically and reduce the workload of instructors, there is still a lack of review works to holistically examine the field…

The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…

While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience, and resources. This, in turn, hinders and slows down the use of educational activities (e.g. providing practice questions) and new advances (e.g. adaptive testing)…

The application of natural language processing (NLP) technology in the field of education has attracted considerable attention. This study takes 716 articles from the Web of Science database from 1998 to 2023 as its research sample. Using bibliometrics as the theoretical foundation, and employing methods such as literature review and knowledge…

Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…

Background: Although there is a growing body of literature on cognitive and language processing in bilingual children with developmental language disorder (DLD), there is a major gap in the evidence for language intervention. Critically, speech-language therapists are often required to make clinical decisions for language intervention on specific…

Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…

Reviews studies that have explored interrelationships among linguistic components in children with language disorders and describes the controversy over the interpretation of these linguistic interrelationships. Explanations for the occurrence or absence of linguistic trade-offs, including limited capacity processing models, and the implications…

Proposes that heritage language education research findings in Canada fall within three interpretive frames, involving (1) interdependence, which posits that languages complement each other; (2) narrativity, which suggests that there is a narrative structure to the developing mind; and (3) cognitive enhancement, which posits that language and…

This report summarizes the work conducted for the Artificial Intelligence Measurement System (AIMS) Project which was undertaken as an exploration of methodology to consider how the effects of artificial intelligence systems could be compared to human performance. The research covered four areas of inquiry: (1) natural language processing and…

Discusses reasons for including prosody in the management of language impairment in children and presents a classification framework that includes four categories of prosodic problems: dysprosody (pitch, loudness, duration, and pausing), prosodic disability (tempo, intonation, stress, and rhythm), prosodic disturbance (interaction disruption), and…

Using a framework to review the research, this article evaluates the effectiveness of adjunct questions and objectives in a prose learning setting. The framework proved useful in identifying processes responsible for the effects of the two adjunct aids, in explaining unusual and/or discrepant results, and generating recommendations for future…