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Abstract Object classification in decentralized environments is critically hindered by data heterogeneity and privacy constraints, which cause models to learn spurious, client-specific correlations rather than generaliza...

Wildfires are among the most destructive natural disasters and pose significant risks to ecosystems, infrastructure, and human lives. This study focuses on wildfire susceptibility mapping in Los Angeles County, a region ...

In recent years, the advancement of artificial intelligence techniques has led to significant interest in reinforcement learning (RL) within the traffic and transportation community. Dynamic traffic control has emerged a...

The growing presence of generative artificial intelligence (GenAI) in educational practice raises questions about how learners and educators live with AI and reshapes questions about how learning unfolds across contempor...

Purpose – This study aims to analyze the management of differentiated learning based on the functions of educational management in elementary schools. Methodology – This research used a qualitative case study approa...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

Abstract Model instability remains a core challenge for data‐driven parameterizations, especially those developed with supervised algorithms, and rigorous methods to address it are lacking. Here, by integrating machine...

This study investigated how headteachers in Gasabo District prioritise teaching and learning through coordinating instructional activities, motivating teaching-learning, and monitoring assessment. The study’s novelty l...

Mathematics in the Modern World (MMW) is a core general education course that develops quantitative reasoning and applied problem solving, yet many first-year students struggle with its concepts and applications. Such ch...

Abstract Unsupervised visible-infrared person re-identification (USL-VI-ReID) aims to match person images across visible and infrared modalities without any labeled data, which is severely hindered by the large cross-mod...

En este artículo BEEBOOK presentamos un conjunto de métodos establecidos para cuantificar el comportamiento de la abeja de la miel. Empezamos con métodos generales para la preparación de las abejas para ensayos de co...

This study aims to describe strengthening students' character through TPACK-based learning. It's implemented in Pancasila and Civics Education teaching and learning process at SMA Negeri 1 Palembang, one of favorite high...

ABSTRACT Background Health systems around the world are investing in learning health system (LHS) infrastructure to strengthen their capacity to adapt, improve, and respond in real time. While prior work has focused on t...

Abstract Given the increased autonomy and limited direct instructor presence in online learning settings necessitating advanced self-regulated learning skills (SRLs), many online students face significant learning diffic...

This study aims to determine the effect of employee engagement , work environment, and organizational learning on organizational commitment in employees of CV. Jodion Unggul Perkasa Sleman Regency. The method used in thi...

Abstract Background This study aims to examine the direct relationships among learning-centred leadership, positive psychological capital, and teacher leadership, as well as the mediating role of positive psychological c...

ObjectiveThis study examined the association between sleep quality and physical learning engagement among Chinese college students and tested the serial mediating roles of smartphone addiction and self-esteem. Both varia...

Abstract Background Digital teaching methods are established for imparting theoretical knowledge in the training of health professions. While digital formats are increasingly used in education, evidence on their capacity...

Background: The use of Artificial Intelligence (AI) technologies in teaching and learning at universities is unavoidable trend in the Industry 4.0 age. This study uniquely integrates the 5E learning model with ChatGPT in...

Technological developments have an impact on various fields, in education particularly, the 21st-century learning requires lectures and learners to be creative and innovative in utilizing digital media effectively, by us...

This research examined comments in open response areas from 228 faculty and 659 student surveys regarding learning mode preference (classroom, online, video synchronous) instructor competence with technology and the impa...