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This research's objectives are to 1) develop a storybook with a picture (comic) as a learning media for Pancasila and Civic Education (PCE) and 2) to evaluate its effectiveness in improving the learning results of grade ...

The main problem of the Pancasila and Citizenship courses is the substance problem which is cognitive domains, and the problem of learning approaches. This research results from active collaboration between universities ...

Western China faces significant seismic risks and has a relatively weak socioeconomic foundation, making systematic evaluation of its comprehensive seismic resilience strategically vital for regional sustainable developm...

Abstract Unmanned Aerial Systems (UAS) have become increasingly integral to industries such as agriculture, surveillance, transportation, and entertainment, raising significant concerns about their vulnerability to cyber...

Customer analytics in financial retail, payments, and bank marketing frequently relies on segmentation and propensity prediction, but transactional logs are sparse, high-dimensional, and only weakly labeled. This paper p...

ABSTRACT Background Health systems around the world are investing in learning health system (LHS) infrastructure to strengthen their capacity to adapt, improve, and respond in real time. While prior work has focused on t...

This study investigates how generative artificial intelligence (AI) integration affects professional skill development in journalism education through learning engagement and media literacy. Conducted between September 2...

Abstract: The assessment process is a fundamental aspect of the educational system, playing a pivotal role in shaping both student development and educational outcomes. In this regard, the Algerian education system ha...

The Covid-19 pandemic has had an impact on the world of education and requires online learning in the learning process, especially in Civic Education. The purpose of this study is to describe the planning and organizatio...

ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements 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...

Abstract The rapid adoption of encrypted communication protocols has raised privacy levels but has also dealt a significant blow to traditional intrusion detection systems that rely on payload inspection for anomaly dete...

Abstract Neural Machine Translation (NMT) for low-resource languages such as Assamese faces significant challenges due to the scarcity of parallel corpora. To address this, we propose a novel zero-shot translation framew...

In a globalized world, students require broader social and communicative skills. Foreign language teaching must thus incorporate sociocultural sensitivity and multiculturalism—a pedagogical approach fostering understan...

Purpose – this study differs from previous research in that it focuses on developing the DCALL model in writing learning. The main target is students' writing skills in any text, supported by an application integrated ...

Abstract Machine-generated music (MGM) has become a groundbreaking innovation with wide-ranging applications, such as music therapy, personalised editing, and creative inspiration within the music industry. However, the ...

Within the context of learning, there poses difficulty when objectively measuring human performance. In this work, we investigate the evaluation of human performance via its relation to the individual's mental capacity b...

Abstract Background Pharmacotherapy and prescribing are core skills for physicians, and all medical graduates must master the basics. From a medical education perspective, it is important to understand factors that help ...

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

Inborn errors of immunity (IEI) are increasing in number, and prompt recognition and diagnosis remain a challenge for clinicians. Use of machine learning (ML) for clinical pattern recognition is promising but has been li...

Abstract Background Delirium is a neuropsychiatric syndrome associated with serious complications. Residents of nursing homes are particularly vulnerable to developing delirium. Nurses play a key role in the prevention, ...

Unmanned surface vehicles (USVs) operating in open-sea environments experience significant roll motion due to wave-induced excitation. The dynamic roll response depends on various factors, including vessel speed, wave en...

Federated learning (FL) is a pivotal paradigm for financial institutions to collaboratively train models while preserving data privacy, yet standard frameworks are hampered by a triad of challenges: vulnerability to pois...

This aim of this research is to produce a valid and practical teaching material on the matter 3-dimensional-space based Science, Technology, Engineering, and Mathematics (STEM) Problem-Based Learning and to know the pote...