In diverse classrooms, one of the challenges educators face is creating assessments that reflect the different cultural backgrounds of every student. This study presents a novel approach to the automatic generation of cultural and context-specific sc...
The adoption of generative Artificial Intelligence (AI) tools in web development implementation tasks is increasing exponentially. This paper evaluates the performance of five leading Generative AI models: ChatGPT-4.0, DeepSeek-V3, Gemini-1.5, Copilo...
With the use of Generative AI (GenAI), Online Social Networks (OSNs) now generate a huge volume of content data. Yet, user-generated content on OSNs, aided by GenAI, presents challenges in analyzing and understanding its characteristics. In particula...
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The rapid progress of generative artificial intelligence (AI) has sparked growing concerns regarding its misuse, privacy risks, and ethical issues. This study investigates the interplay between Generative AI Abuse Anxiety, trust, perceived usefulness...
This study examines the emerging technological trajectories in artificial intelligence (AI) paradigm: generative AI, agentic AI, and quantum AI. It aims to compare evolutionary growth shaping the overall AI technological system. A comparative sciento...
Generative artificial intelligence (GenAI) is rapidly transforming teaching, learning, research, and institutional practices in higher education, increasing the need to understand how university professionals engage with AI technologies in both funct...
Artificial intelligence has evolved to generative AI (GenAI), a paradigm shift that has shifted the emphasis away from the evaluation of existing patterns to the generation of novel biological and medical material. This study examines GenAI achieveme...
This study explores Generative Artificial Intelligence (GenAI) applications in creativity. We identify the four most common parts of the creative process: (1) Problem Identification and Framing, (2) Generating ideas, (3) Evaluating ideas, and (4) Dep...
In the dynamic and evolving tourism industry, engaging with stakeholders is essential for fostering innovation and improving service quality. However, tourism companies often struggle to meet expectations for customer satisfaction through interactivi...
The current marketing landscape faces challenges in content creation and innovation, relying heavily on manually created content and traditional channels like social media and search engines. While effective, these methods often lack the creativity a...
Recently, generative artificial intelligence (GAI) has impressed the world with its ability to create text, images, and videos. However, there are still areas in which GAI produces undesirable or unintended results due to being “uncertain&rdquo...
AI-generated content—spanning text, imagery, and music—is becoming increasingly commonplace. As the newest generation of song-producing AI systems garner attention, serious questions emerge regarding the role and place of music producers,...
A strategic approach to integrating generative AI (GAI) into design education is explored in this article to enhance students’ creativity, critical thinking, and practical skills. Based on a cross-departmental initiative at National United Univ...
The rapid integration of generative artificial intelligence (AI) into educational environments raises both opportunities and concerns regarding assessment design, academic integrity, and quality assurance. While new generation AI tools offer new mode...
Generative Artificial Intelligence (Generative Agentic AI) models, such as Large Language Models (LLMs), and agentic AI have recently gained widespread attention in both research and industry. They have rapidly emerged as a concept that elevates Gene...
The complexity for law enforcement and child protection agencies has been exacerbated by the proliferation of child sexual exploitation channels, facilitated by digital platforms and social media. Generative AI’s ability to analyze large datase...
The integration of generative AI into education raises questions about how AI literacy should be organized, particularly as competencies may operate across different functions during human–AI interaction. This study examined the content and str...
The emergence of generative AI has led to significant transformations, reshaping media organizations’ workflows and facilitating new forms of participation in the news. This scoping review aims to map the existing literature on the role of gene...
Engagement with generative artificial intelligence (GenAI) involves practical literacy as well as learning, professional, sociotechnical, and configuration concerns. This mixed-methods study examined whether these responses were differentiated among...
In the era of transformative technologies, generative artificial intelligence (genAI) offers profound opportunities and challenges for education. This study explores the development and execution of an interactive workshop designed to equip educators...
In this paper, we propose a set of best practices for the responsible adoption of Generative Artificial Intelligence (AI) in higher education. These best practices provide a comprehensive framework for higher education institutions to effectively and...
The integration of generative AI (GenAI) in school-based mental health services presents new opportunities and challenges. This study focuses on the challenges of using GenAI chatbots as therapeutic tools by exploring secondary school students’...
Multimodal generative AI and generative design empower architects to create better-performing, sustainable, and efficient design solutions and explore diverse design possibilities. Blockchain technology ensures secure data management and traceability...
Generative artificial intelligence (Gen-AI) is rapidly reshaping transportation analytics by enabling data synthesis, uncertainty modeling, and decision-oriented reasoning under sparse and complex conditions. This study presents a systematic, use-cas...
Generative AI tools are increasingly being adopted in education, where they function as collaborators that can provide feedback, suggest alternatives, and scaffold learning. In this paper, I conducted an autoethnographic study by examining my experie...
The increasing complexity of oncology diagnostics requires advanced Clinical Decision Support Systems (CDSS) capable of integrating multimodal data. Traditional discriminative models often struggle with missing data and cross-modal dependencies. This...
Background: The integration of generative artificial intelligence (AI) into creative practice raises new questions for craft-based disciplines such as ceramic design, where digital ideation must ultimately be translated into physical, material form....
The rapid integration of artificial intelligence (AI) tools into academic research and writing has introduced new challenges related to transparency, accountability, and reproducibility. While publishers increasingly permit AI use with disclosure, th...
Generative AI (GenAI) is revolutionizing digital twins (DTs) for fault diagnosis and predictive maintenance in Industry 4.0 and 5.0 by enabling real-time simulation, data augmentation, and improved anomaly detection. DTs, virtual replicas of physical...
Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI’s ChatGPT, that can be prompted to generate various types of content. In this narrative review, we present a selection of representative examples of generat...
The scientific literature is expanding at an unprecedented pace, making it increasingly difficult for researchers, students, and professionals to extract relevant insights efficiently. Traditional academic publishing offers static, one-size-fits-all...
The rapid paradigm shift from traditional keyword-matching algorithms to AI-driven answer engines has fundamentally disrupted Search Engine Optimization (SEO). As Large Language Models (LLMs) power modern Search Generative Experiences (SGEs), organiz...
Generative artificial intelligence is increasingly embedded in architectural practice and education, yet its role often remains confined to image production or optimization tasks. This study situates generative AI within a broader design ecology. It...
This paper examines the transformative potential of generative artificial intelligence (AI) and neuroaesthetic methodologies in archaeology, museum collections and art history. It introduces the concept of the AI multiverse, which allows archaeologis...
While the capability of generative AI to generate high-quality content is well-recognized, there is still a lack of in-depth research on its actual impact on marketing effectiveness within real-world marketing environments. This study addresses this...
Background: Vehicle routing optimization traditionally requires specialized software and technical expertise, limiting accessibility for small-to-medium enterprises. This study investigates whether generative AI (Claude 3.5 Sonnet via Claude.ai) can...
Generative AI (GenAI), particularly text-to-image (TTI) models, is reshaping landscape representation by transforming textual descriptions into visual outputs. However, these models often reinforce biases embedded in their training datasets, shaping...
Generative artificial intelligence (GenAI) is increasingly transforming science and engineering education through prompt-based interactions. While promising to transform how students learn engineering, GenAI’s increasing presence raises concern...
Generative AI is weaving into the fabric of many human aspects through its transformative power to mimic human-generated content. It is not a mere technology; it functions as a generative virtual assistant, raising concerns about its impact on cognit...
Generative artificial intelligence (GenAI) is increasingly embedded in consulting and professional-service work, yet employees may not always disclose its contribution to work outputs. This study examines hidden GenAI use as a social-cognitive, organ...
This study investigates whether metacognitive prompting for responsible generative AI (GenAI) use can enhance students’ psychological sustainability in AI-assisted learning. Using a face-to-face classroom experiment (N = 148; 74 prompting, 74 c...
E-commerce applications have emerged as key drivers of digital transformation, reshaping consumer behavior and driving demand for seamless online transactions. Despite the growth of smart mobile technologies, existing methods rely on fixed UI content...
Kidney disease poses a significant global health challenge, affecting millions and straining healthcare systems due to limited nephrology resources. This paper examines the transformative potential of Generative AI (GenAI), Large Language Models (LLM...
Generative artificial intelligence (GenAI) provides a new context for examining how external intelligent systems are associated with human cognitive agency and perceived creative intellectual functioning. Drawing on cognitive offloading theory and AI...
This comprehensive survey explored the evolving landscape of generative Artificial Intelligence (AI), with a specific focus on the recent technological breakthroughs and the gathering advancements toward possible Artificial General Intelligence (AGI)...
With the advent of generative AI, medical imaging has been revolutionized, allowing for unprecedented capabilities in data generation, volumetric reconstruction, and clinical decision support. Although significant advances have been achieved in two-d...
Generative Artificial Intelligence (GenAI) systems have introduced new classes of security incidents that traditional response frameworks were not designed to manage, ranging from model manipulation and data exfiltration to misinformation cascades an...
Over the past five years, generative AI has carved out a major role in architecture, especially in education and visual idea generation. Most of the time, the literature talks about AI as a tool, an assistant, or sometimes a co-creator, always highli...
Generative artificial intelligence and foundation models have changed machine learning by allowing systems to produce readable text, realistic images, and other multimodal content with little direct input from a user. Foundation models are large neur...
The integration of generative AI (GAI) into the financial sector has brought about significant advancements, offering new solutions for various financial tasks. This review paper provides a comprehensive examination of recent trends and developments...
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