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Abstract Large language models (LLMs) demonstrate strong reasoning and planning capabilities in static textual contexts, yet they struggle significantly with dynamic decision-making tasks involving spatial elements, such...

Purpose – This study aims to determine the effectiveness of NHT Cooperative Learning assisted by Lumi Education in improving the abductive reasoning skills of junior high school students in science lessons on substance...

Anatomical education presents ongoing challenges in helping students master complex content while integrating it with clinical relevance. Neuroanatomy is particularly difficult due to its intricacy and abstract nature. T...

Background: Clinical reasoning in the intensive care unit (ICU), a complex, high-acuity and stressful environment, may require a different set of critical thinking and decision-making approaches to undergraduate physiot...

Modern software evolves rapidly, accumulates architectural debt, and develops cross-module dependencies that complicate reliable maintenance. We present EvoGraphCoder, an evolutionary graph-reasoning framework for self-a...

Abstract Collaborative filtering and neural recommendation models have advanced substantially over the past decade, yet they frequently struggle to capture the fine-grained structure of user preferences and the rich, mul...

Abstract This article aimed to analyze the level of reading comprehension in elementary school students; to verify differences between school years for the Cloze test; investigate possible relationships between reading c...

Abstract In this article, we validate a measure of self-forgiveness reasoning based on a typology that relates the type of self-forgiveness to the offender’s socio-cognitive decentering ability. A total of 309 Brazilia...

Background: The transition from arithmetic to algebra remains a persistent challenge in early mathematics education. While structural awareness is widely recognised as foundational to this shift, the developmental mecha...

This article aims to determine the adaptation of prospective elementary school teachers' scientific reasoning from a civic science perspective through seminar courses on elementary schools' educational problems. The issu...

Background Large language models (LLMs) have demonstrated promising capabilities in medical diagnostic reasoning, yet their performance in specialized clinical domains such as rheumatology remains incompletely characteri...

Abstract Based on an epistemological discussion, this paper aims to show the contribution of abduction as a scientific procedure in the educational field. To that end, I explain how scientific research approaches and pro...

This paper discusses the nature of the metaphorical transfer from the source domain to the target domain. More specifically, it explores the question as to how the mapping links between features of the source and the tar...

Background: Speech-language pathology (SLP) students in South Africa often face persistent challenges in transferring theoretical learning to authentic clinical contexts. This theory–practice divide is compounded by l...

During the golden-time phase of urban disasters, emergency response systems must issue timely directives that remain compliant with jurisdictional policies and regulations, even when early human reports precede reliable ...

Background: Clinical education is central to physiotherapy training, yet many students enter their first placements with limited experience in holistic clinical reasoning. The International Classification of Functioning...

Materias / palabras clave: clinical reasoning; immunocompetence; invasive bacterial infection; necrotizing pneumonia; non-typhoidal Salmonella; sentinel clinical events

Abstract Background High-fidelity simulation is a cornerstone of emergency medicine (EM) education and is used by a majority of EM clerkships. Traditional high-fidelity simulation involves learners working through a pred...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...

Abstract Background Deep learning faces a significant bottleneck in medical image analysis due to its reliance on large-scale, expert-annotated datasets. This challenge is acute in ophthalmology, particularly for detecti...

Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

Este trabalho analisa a correlação entre o que adolescentes pensam sobre si mesmos e as projeções idealizadas de futuro, tendo como hipótese a manifestação da solidariedade relacionada à construção de um projet...

Abstract The global challenge of effectively cultivating clinical thinking in medical students persists, often hindered by traditional textbooks that present knowledge in a linear sequence disconnected from the non-linea...

Abstract Concerns that AI tools may erode diagnostic reasoning contrast with claims that AI can foster higher-order thinking. This longitudinal study followed 372 medical students across 12 months of supervised rotations...