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The convergence of educational technologies, ergonomics, and active learning frameworks offers a multidimensional approach to improving educational outcomes. This study examines the role of Learning Analytics (LA) in opt...

Abstract The increasing number of Internet of Things (IoT) devices demands a rigid and adaptive routing methodologies to ensure the reliable communication especially for the low-power and lossy networks. The Routing Prot...

This study explores the development and management of campus learning spaces at the Norwegian University of Science and Technology (NTNU), focusing on the experiences and perspectives of the technical administrative staf...

Abstract Introduction The learning curve refers to the relationship between a learner's execution of a task and the number of attempts or time necessary to perform it in a predictable, reliable, and optimal fashion. The ...

Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...

Abstract Background Population ageing presents increasing challenges for health systems. Identifying complex needs and planning individualized care through Comprehensive Geriatric Assessment (CGA), promoting intergenerat...

Background: The rapid digital transformation in education necessitates the development of interactive learning media, particularly in physical education domains such as basketball, which require the integration of motor...

Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...

Abstract The Error Diffusion Learning Algorithm (EDLA) is a learning scheme that performs synaptically local weight updates driven by a single, globally defined error signal. Although originally proposed as an alternativ...

This study examined the relationships between Big Five personality traits and learning emotions among Chinese undergraduate music students, while also validating psychometric instruments adapted to the music education co...

This work presents a hybrid deep learning approach for identifying students who are likely to experience academic difficulties in virtual learning environments. The proposed framework is evaluated on the Open University ...

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...

Perceptual learning, which is typically considered an implicit and automatic process, has received little attention in the study of attention deficit hyperactivity disorder (ADHD). In this study, we investigated whether ...

Design studio projects are fundamental to environmental education, as they facilitate the integration of theoretical knowledge with creative practice through experiential, collaborative, and reflective learning. This s...

Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...

Abstract Purpose This study aimed to identify the effectiveness of free water MRI (FW-MRI) features for predicting amyloid-beta (Aβ) statuses in Alzheimer’s disease (AD) by constructing diagnostic models using machine...

Abstract Individualized educational management cannot be avoided in meeting various learner needs in cases where teaching strategies are changed in line with the performance trends and preferences of students. Reinforcem...

Abstract Background Bacterial diseases include any illness caused by bacteria. Bacteria are tiny microorganisms that can only be seen with a microscope. Other types of microorganisms include viruses, fungi, and some para...

Abstract Background This study aims to explore spatial heterogeneity within tumors, establish and validate an interpretable machine learning model combining habitat radiomics and deep learning, and investigate its predic...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

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...

Abstract Introduction This study aimed to develop a deep learning-based system to automatically assess patient positioning compliance in chest radiographs, focusing on cervical spine visibility, scapular overlap, and cos...

Abstract Artificial intelligence (AI) has transformed social media into a powerful tool for educational learning engagements. WeChat, a Chinese social media platform, is extensively used by students for academic learning...

This study aimed to evaluate the performance of deep learning models for segmenting the augmented bone following transalveolar sinus floor elevation (TSFE). Cone-beam computed tomography (CBCT) data from 103 patients und...