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Traditional methods of teaching English do not always allow us to consider the individual characteristics of future ship- engineers, their learning pace, cognitive styles and level of training, which can lead to the loss...

IntroductionThe proliferation of generative artificial intelligence (AI) has created unprecedented opportunities for informal second language (L2) learning, yet the psychological mechanisms through which AI-mediated lear...

Abstract Matching college students with appropriate innovative training projects is a challenging task that often relies on static assignment techniques, which overlook individual interests, skills, and learning styles. ...

Abstract Background Blended learning, integrating traditional teaching with digital resources, has shown promise in medical education. The Radiology Assistant platform offers structured, case-based content that may addre...

Objective: This study aims to determine the value of including practical experiential learning in a continuing professional development (CPD) course primarily for pharmacists. The Management of Oral Anticoagulation Thera...

The recent Zero-Trust Architecture (ZTA) is progressively adopted to the develop network security by assuming no implicit trust within or outside an organization’s boundary. Though, ZTA faces substantial challenge...

Abstract Objective This study aims to evaluate student acceptance of a Smart Learning Platform (SLP) (based on the Chaoxing Learning System™) to deliver a cardiopulmonary physiotherapy curriculum. The SLP leverages AI-...

With the increasing integration of artificial intelligence (AI) across industries, there is a growing need to transform traditional teaching methods into more innovative, technology-driven, and practice-oriented approach...

IntroductionAlthough virtual reality (VR) is increasingly deployed as a tool for education, little is known about how learning modality influences cognitive processing or whether wearable neuroimaging technologies can ac...

Nantawan Tippayanate,1,2 Kiattisak Chaiprom,1 Waranya Chatuphonprasert,3 Ajchara Khamya,1 Jantana Sriprow,1 Chattarin Sripol,1,2 Maitree Thronsao1,2 1Field of Study in Paramedicine, Faculty of Medicine, Mahasarakham Univ...

ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data aug...

Despite significant progress in autonomous vehicles (AVs), the development of driving policies that ensure both the safety of AVs and traffic flow efficiency has not yet been fully explored. In this paper, we propose an ...

The study aimed to analyse the effectiveness of traditional, innovative, and digital approaches to individualising the educational process and student adaptation within the educational systems of Bulgaria, Kyrgyzstan, an...

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...

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...

Photonic device development (PDD) has achieved remarkable success in designing and implementing new devices for controlling light across various wavelengths, scales, and applications, including telecommunications, imagin...

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...

ObjectiveTo address the issues of parameter optimization and prediction accuracy of the surface roughness of spiral bevel gears, and to overcome the limitations of traditional methods in effectively handling complex nonl...

In the modern conditions of digitalization of education, e-learning in physical education is defined as a promising direction of transformation of the educational process, especially in the context of distance and blende...

Machine learning has arisen with advanced data analytics. Many factors influence crop yield, such as soil, amount of water, climate, and genotype. Determining factors that significantly influence yield prediction and ide...