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Work Integrated Learning (WIL) offers students the opportunity to explore and expand on theoretical concepts encountered throughout their academic studies in an applied real-life context. WIL also assists students in the...

This study presents the development of a structured and contextually grounded industry internship model—PRIGEL—designed to align with Indonesia's Merdeka Belajar Kampus Merdeka (MBKM) policy. The PRIGEL model compris...

During their studies, musicians transition to work-readiness, develop a professional persona and graduate from skills acquisition in a traditional master-mentor relationship towards heterarchical collaboration in ensembl...

The world of education, training and employment has changed drastically over the last decade. The need for post-secondary institutions to reach even deeper to their respective partners is imperative. Long gone are the da...

Optical neural networks (ONNs) have demonstrated unique advantages in overcoming the limitations of traditional electronic computing through their inherent physical properties, including high parallelism, ultra-wide band...

Abstract Background Thalassemia is the most prevalent single-gene disorder in Sri Lanka, imposing a significant socioeconomic and healthcare burden. Early carrier detection is essential for genetic counselling and the pr...

Global food security relies heavily on rice production, which is continuously threatened by crop diseases. Although deep learning (DL) models have demonstrated strong diagnostic performance, their high computational and ...

Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...

This integrative literature review examines the underexplored dynamics of industry-academia partnerships within Canadian polytechnic business education. While polytechnics are recognized for fostering applied learning in...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

Abstract This paper proposes a novel hybrid ensemble machine learning framework integrated with Explainable AI (XAI) to overcome the fundamental trade-off between non-detection zones (NDZ) and false positives in conventi...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

Despite decades of global attention, work-related musculoskeletal disorders (MSD) remain a significant challenge, with substantial personal and societal costs (1). The lack of progress in addressing this prevalent proble...

Adaptive learning systems require effective mechanisms to model students’ evolving learning states and provide personalized learning path recommendations. Traditional rule-based approaches are limited in capturing...

Artificial intelligence algorithms based on deep neural network (DNN) have become an effective tool for conceiving metasurfaces recently. However, the complex and sharp resonances of metasurfaces will tremendously increa...

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...

The solution of matrix eigenvalues has always been a research hotspot in the field of modern numerical analysis, which has important value in practical application of engineering technology and scientific research. Despi...

By 2040, Canada's post-secondary education (PSE) landscape is expected to have undergone a profound transformation, challenging its long-held status as a reliable pathway to upward social mobility. Historically, earning ...

Background: South Africa continues to experience persistently high unemployment, which constrains graduates’ successful integration into the labour market. Objectives: This article systematically reviews school-to-wo...

Recent scholarship has highlighted the need to be attentive to the student experience of placement-based work-integrated learning and its possible impacts on the wellbeing of student participants. The experiences of staf...

Purpose – This study systematically maps global research trends on entrepreneurial readiness in vocational education from 2020 to 2025 and identifies implications for strengthening the Indonesian vocational education s...

Context. The creation of a 3D map of the bulge using RR Lyrae (RRL) is one of the main goals of the VISTA Variables in the Via Lactea Survey (VVV) and VVV(X) surveys. The overwhelming number of sources undergoing analysi...

This study explores the relevance and urgency of ensuring barrier-free inclusion in educational practices for individuals with disabilities, particularly in the context of contemporary crises such as the war in Ukraine. ...