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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: This research is motivated by the gap between the importance of learning Arabic and the difficulties faced by students in learning Nahwu through the Al-Jurumiyah textbook. Purpose To determine the applicati...

The present study analyzes the process and impact of implementing the PjBL model on fifth-grade elementary students’ mastery of Indonesian language materials. The study employed a qualitative approach, with data collec...

The study aims to develop a Project-Based Learning (PBL) blended learning strategy to enhance the human literacy skills of students taking Citizenship Education in higher education. The research uses the Research & Devel...

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...

Background: Arabic language learning in madrasah often encounters challenges due to the complexity of the language and the suboptimal teaching methods applied. Purpose: This study aims to explore the perspectives, mot...

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...

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...

The article throws the light on the problem of developing students’ critical thinking skills through interactive learning. The latter offers numerous benefits for students'soft skills improvement. It requires students ...

With the continuous innovation in household appliance technology and the improvement of living standards, the production of discarded household appliances has rapidly increased, making their recycling increasingly signif...

Learning independence among students is still low. It can be seen from the students being less active in finding learning resources and only waiting from the lecturers, from the task of making learning media given by stu...

BackgroundBlended learning has gained momentum in Indian medical education and has the potential to improve access to knowledge and educational outcomes in underserved areas.ObjectiveThis review sought to identify curren...

A high efficiency hardware integration of neural networks benefits from realizing nonlinearity, network connectivity and learning fully in a physical substrate. Multiple systems have recently implemented some or all of t...