School burnout is an increasing concern in highly competitive educational contexts. As artificial intelligence (AI) becomes embedded in classrooms, it shapes both learning processes and students’ stress experiences. Grounded in Mindset Theory a...
As artificial intelligence (AI) becomes deeply integrated into teacher education, pre-service teachers’ innovative competence has become a cornerstone for fostering human–AI collaborative innovation and enabling intelligent educational transformation...
The rapid advancement of artificial intelligence (AI) has transformed informal language learning, providing learners with flexible, self-directed opportunities for vocabulary acquisition outside formal classroom instruction. This study examined how A...
The rapid expansion of online learning platforms has necessitated advanced systems to address scalability, personalization, and assessment challenges. This paper presents a comprehensive review of artificial intelligence (AI)-based decision support s...
The global shift to remote instruction has accelerated the adoption of frameworks like Agile-blended learning (ABL), yet the operational challenges of these technology-intensive models remain largely unexplored. This study addresses this “opera...
AI-based writing support systems are increasingly being explored as tools for supporting English writing in educational contexts. In English as a Foreign Language (EFL) settings, learners often need support in generating ideas, organizing content, re...
Hybrid frameworks combine structural modelling, machine learning, and explainable artificial intelligence (AI) to evaluate human–AI Strategic Decision Support Systems (SDSSs). However, their methodological reliability requires systematic assess...
AI is increasingly integrated into higher education, yet sustained learner engagement remains insufficiently understood. Using technology adoption and self-regulated learning theories, we developed a quantitative model that predicts AI usage intentio...
The rapid advancement of Artificial Intelligence (AI) technologies is driving a profound transformation in higher education, shifting traditional learning toward digital, remote, and AI-mediated environments. This shift—accelerated by the COVID...
The emergence of artificial intelligence (AI) in education has not only challenged conventional learning environments but has also encouraged the adoption of innovative and active pedagogical approaches, such as flipped learning, particularly when th...
The rapid expansion of artificial intelligence (AI) in digital education has transformed gamification from a motivational strategy into a data-driven, adaptive learning paradigm. This systematic review conceptualizes AI-supported gamification as an i...
This study explored the relationship between technology acceptance and programming self-efficacy in the context of AI-supported programming learning, with learning engagement, reflective use, learning interest, and learning satisfaction acting as pot...
Higher education institutions are under increasing pressure to strengthen environmental education (EE) due to critical environmental challenges, while also addressing learner support, engagement, and instructional resource constraints. Recent advance...
This exploratory research examines learning-process engagement in artificial intelligence (AI)-supported courses, measured through students’ self-reported attention, active participation, and thinking during class. Necessary Condition Analysis...
Metacognition has informed research on second and foreign language (L2) learning for three decades, while AI tools have supported such learning for nearly as long. Yet, no review has examined how the field conceptualises and measures metacognition un...
Various articles suggest that artificial intelligence (AI) in libraries can enhance the learning experience, promote lifelong learning, and strengthen digital literacy. However, it is unclear if practicing librarians agree with these benefits. Malays...
Integration of artificial intelligence (AI) into mathematics education holds significant potential to enhance learning outcomes; however, its effectiveness in resource-constrained higher education contexts remains uneven due to persistent digital div...
The emergence of generative artificial intelligence (GenAI) chatbots, such as ChatGPT, presents unique challenges and opportunities in an educational setting; however, they lack empirical evidence as teaching and learning tools. This study sought to...
With the rapid development of AI technologies, digital software, and teaching methods, flipped-learning approaches are becoming increasingly popular for academic education. Next-generation teaching modules will potentially enhance the learning experi...
Artificial intelligence (AI) is expanding opportunities for adaptive and personalised learning that responds to learners’ abilities, interests, and educational needs. However, formal gifted education programmes may still offer limited opportuni...
Artificial intelligence (or AI) is rapidly transforming digital learning environments, reshaping how educational processes are organized, how knowledge is produced, and how learning is evaluated. Despite a growing body of research on AI in education,...
This study investigates the integration of mentorship, self-regulated learning (SRL), and generative artificial intelligence (gen-AI) to support pre-service teachers (PSTs) before and during work-integrated learning (WIL) placements. Utilising the Me...
Bringing artificial intelligence (AI) and living intelligence into higher education has the potential to completely reshape teaching, learning, and administrative processes. Living intelligence is not just about using AI—it is about creating a...
Understanding students’ vocational preferences in STEM domains is a complex challenge characterized by uncertainty, subjectivity, and overlapping interests. Traditional profiling approaches often rely on rigid categorizations that fail to captu...
This study examines administrative staff perceptions of selected AI-related dimensions and their association with sustainable administrative performance at the University of Hail. Specifically, it focuses on expert systems, automated machine learning...
This study investigates the factors influencing undergraduate students’ self-directed learning (SDL) abilities in generative Artificial Intelligence (AI)-driven interactive learning environments. The advent of generative AI has revolutionized i...
Basic Vocational Training (FPB) students face substantial learning difficulties in electronics, which leads to a high dependency on the instructor and creates bottlenecks in practical workshops. This study aims to evaluate the effectiveness of genera...
Higher education is increasingly integrating artificial intelligence (AI) and sustainability-oriented learning, aligning with the United Nations Sustainable Development Goals (SDGs). Nonetheless, there is limited empirical evidence explaining how cog...
This study examines how organizational information environments shape AI adoption intention in the public sector. Based on survey data from 1068 civil servants across 31 provincial-level jurisdictions in China, it develops and tests a framework incor...
Background: Artificial intelligence-driven digital therapeutics (AI-DTx) are rapidly emerging as a transformative paradigm in healthcare, integrating machine learning, deep learning, and generative AI into digital interventions across diverse clinica...
The increasing use of digital devices by young learners often results in passive content consumption rather than active skill development. This exploratory study examines whether a peer-like Artificial Intelligence (AI) agent can improve the quality...
Background/Objective: This study explores the use of AI-powered radiomics to classify and monitor brain metastasis progression and regression following Gamma Knife radiosurgery (GKRS) based on MRI imaging. A clinical decision support application was...
Background/Objectives: Treatment adherence challenges affect 10–20% of tuberculosis patients globally, contributing to drug resistance and continued transmission. While artificial intelligence approaches show promise for identifying patients wh...
Generative artificial intelligence (GAI) is increasingly used in higher education for explanation, content generation, feedback, and personalized learning. However, conventional prompt–response chatbots may provide insufficient support for comp...
The rapid growth of organisational textual data has increased the value of Natural Language Processing (NLP) and semantic analytics for strategic decision support. However, many employees still lack the knowledge and skills needed to evaluate AI-gene...
The escalating impacts of climate change and anthropogenic pressures on vulnerable ecosystems demand digital tools that make advanced modeling more accessible to conservation practitioners. This study presents a TRL-4 prototype that integrates a conf...
Advanced Separation Engineering requires graduate students to connect separation principles with process design and engineering decision-making. Using action research, this study developed and refined a reform based on the Conceive–Design&ndash...
Artificial intelligence (AI)-supported decision systems can improve managerial decision-making, but their cognitive implications may depend on how information, explanations, alerts, time pressure, uncertainty, autonomy, and human control are configur...
Remote access to laboratory equipment enables distance-learning STEM students to engage with authentic experimental activities, but some students experience barriers when using remote laboratories. This paper reports an exploratory mixed-methods stud...
The global water sector faces unprecedented challenges from climate change, rapid urbanisation, and ageing infrastructure, necessitating a shift towards proactive, digital strategies. Historically characterised as “data rich but information poo...
This study introduces a physics-guided deep learning architecture designed for the simulation, reconstruction, and pattern recognition of biomedical images. By explicitly integrating physical priors into the learning model, the framework addresses th...
Background: This paper has identified a gap in the extant Human Resource higher education literature in relation to the use of sustainable e-learning pedagogy. As such, a scoping review has been undertaken to draw conclusions to help narrow this gap....
Chest X-ray (CXR) imaging remains the most widely used radiological modality for assessing pulmonary and cardiothoracic disease, yet its interpretation is inherently constrained by tissue superposition, subtle radiographic findings and marked inter-o...
Background/Objectives: Acute appendicitis is the most common surgical emergency of childhood, yet its diagnosis remains difficult because presentations are atypical, inflammatory markers are nonspecific, and the consequences of error run in both dire...
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and future potential for transforming almost all aspects of medicine. However, in many applications, even outside medicine, a lack of transparency in AI applications...
Students with similar overall test scores may nevertheless succeed or struggle with very different kinds of problems. Aggregate performance measures can conceal these differences when assessment problems require different forms of reasoning or differ...
Conventional cooling tower operations often rely on the operator’s experience for fan-switching control, lacking precise decision support and real-time monitoring capabilities. This makes it challenging to maintain water temperature within an o...
Educational equity and access to quality learning opportunities represent fundamental pillars of sustainable societal development, directly aligned with the United Nations Sustainable Development Goal 4 (Quality Education). Student retention remains...
Accurate Estimated Time of Arrival (ETA) forecasting is essential for improving operational planning and decision-making in modern ports. While machine learning has significantly enhanced ETA prediction using Automatic Identification System data, the...
The going-concern opinions of certified public accountants (CPAs) and auditors are very critical, and due to misjudgments, the failure to discover the possibility of bankruptcy can cause great losses to financial statement users and corporate stakeho...
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