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The purpose of this article of reflection is to raise awareness of how poor design of language assessments may have detrimental effects, if crucial qualities and technicalities of test design are not met. The article fir...

Abstract Language plays a central role in the assessment of individuals with psychosis, from taking a medical history to evaluating cognitive function. However, speaking multiple languages can significantly influence lin...

ABSTRACT An innovative aspect in the area of language assessment has been to evaluate oral language proficiency in distant interactions by means of computers. In this paper, we present the results of a qualitative resear...

Abstract A heated debate has been ongoing regarding the potential overlap in language disorders exhibited by children with developmental language disorder (DLD) and those with autism spectrum disorder plus language impai...

Precedents and objectives Dr Donna Jackson-Maldonado, researcher and professor at the Centro de Estudios Lingüísticos y Literarios of the Universidad Autónoma de Querétaro in Mexico, left us on November 30, 2021. In ...

Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

To address the challenges of fragmented understanding of Large Language Model (LLM) security risks and the inadequacy of LLM risk classification and grading frameworks, this study aims to construct a comprehensive framew...

In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be progr...

IntroductionDevelopmental Language Disorder (DLD) is a common neurodevelopmental condition that affects both the structural and pragmatic aspects of language. Conversational abilities—including topic initiation, mainte...

Employee compliance with Information Security Policies (ISPs) depends on communicating clear and comprehensible content. However, existing research has shown that many ISPs are of poor communicative quality. Large Langua...

Background: Inclusive education poses challenges for Arabic language teaching in pesantren-based madrasas, where student diversity in abilities and backgrounds requires adaptive learning approaches. Purpose: This study...

Background: Arabic learning media using the Articulate Storyline application has not been developed much to improve listening skills.  Objective: This study aims to develop one of the Arabic learning media that can im...

Abstract Quantitative analysis of fluorescence microscopy images remains a significant challenge in cytopathological assessments, as subjective interpretation and inter‐observer variability hinder reproducibility and s...

Abstract Risk of bias assessment is a crucial step in evidence synthesis. The traditionally adopted tool, however, is complex, resource-intensive, and unreliable. While prior investigations have focused on whether Large ...

Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespo...

Abstract Child development is complex and includes multiple domains, such as cognition, communication and language, motor skills, socialization, and emotional development. The objective of this paper was to present the d...

Background: Arabic language proficiency is a fundamental requirement for students of Islamic Economics and Business, as it enables access to primary Sharia sources, comprehension of Islamic economic literature, and maste...

English language acquisition in resource-constrained contexts presents unique challenges for learners worldwide. This study examines how Bangladeshi children aged 8–14 acquire English across rural and low-income urban ...

Abstract Classifying exam questions using Bloom’s Taxonomy is a critical task in education. However, performing this classification manually is often inefficient, prone to subjective errors and demands significant time...

IntroductionLarge language models (LLMs) show great promise as tools for assisting scientific peer review, but their agreement with human experts in quantitative assessment of academic content needs further investigation...

Embodied cognition research on Parkinson's disease (PD) points to disruptions of frontostriatal language functions as sensitive targets for clinical assessment. However, no existing approach has been tested for crossling...

Dyslexia is a common disorder experienced by many students in Europe and worldwide. It is a specific learning disability, which also generates difficulties in foreign language acquisition. Publications presenting the eti...

The relevance of this study is driven by the growing need to integrate innovative digital tools, particularly artificial intelligence (AI)-based chatbots, into the educational process to enhance language learning efficie...

BackgroundReducing under-5 mortality remains a global health priority. Large language models (LLMs) are increasingly used by the public to access medical information. However, current evidence evaluating LLMs’ performa...