Buscar recursos académicos

Abstract Background Rapid and accurate pest diagnosis is essential for reducing crop losses and improving agricultural productivity. Most existing methods rely on deep learning-based object detection to classify pests in...

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...

Background: A large part of physiotherapy clinical training is situated in the workplace. Learning in an authentic environment is supported by facilitators. Objectives: This study focussed on the perceptions and unders...

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 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-...

Background: Neurosurgical training has historically been grounded in an apprenticeship model. This approach to developing competence relies on authentic learning opportunities presenting themselves in the operating thea...

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...

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...

Background: Arabic learning media using the Articulate Storyline application has not been developed much to improve listening skills.  Objective: This study aims to develop one of the Arabic learning media that can im...

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...

Federated learning (FL) is a decentralized machine learning (ML) approach that can be used for intrusion detection in Internet of Things (IoT) devices. It involves the local training of AI models and their aggregation at...

Background: Arabic learning is learning that requires components as tools to help students understand the material being taught. These components are like learning media. However, at MTs al-Khairat Gorontalo City, especi...

Abstract Background Thoracic surgery involves complex diseases and critically ill patients, demanding doctors to integrate solid theoretical knowledge with practical skills. Clinical medical students, however, often stru...

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-...

Power transformers are critical components of power systems, and their safe and reliable operation is essential for both industrial and residential applications. Real-time condition monitoring and early fault detection a...

Chemical literacy as a scientist’s life skill needs to be promoted through teaching and learning activities. This study aims to implement socio-scientific issue (SSI)-based learning to improve chemical literacy skills ...

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...

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 ...

Abstract Background Despite growing attention to equity and cultural safety in medical education, Indigenous methodologies remain largely absent from the core structure of clinical training in Canada and America. Current...

Abstract This paper investigates the extent to which dishonest behavior can be predicted using behavioral personality traits and physiological information. An interpretable machine learning approach, SHapley Additive exP...

The purpose of this research is to know the difference of mathematical reasoning ability between students using Contextual Teaching and Learning model (CTL) with students using direct learning model. Research type is exp...

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...

Learning communities have a positive impact on the development of the pedagogical competence of prospective mathematics teacher students. However, the nature of competition between students is more dominant in universiti...