Digital three-dimensional reconstructions of architectural heritage have become increasingly used as research tools, yet their visually coherent representations often conceal the interpretive processes, uncertainties, and evidential gaps underlying their production. This paper pr…
Penelitian ini mengkaji pengaruh penambahan filler nanosilika (SiO₂) terhadap karakteristik arus bocor dan struktur kristal pada isolasi kabel polimer berbasis Linear Low-Density Polyethylene (LLDPE). Isolasi kabel merupakan komponen krusial yang rentan terhadap degradasi akibat…
With Dewey I hold that knowledge, mind, and meaning are part of the same world that they have to do with, and that they are to be studied in the same empirical spirit that animates natural science.There is no place for a priori phi-
In April 2026, a University of South Florida suspect used ChatGPT to research body disposal, firearm logistics, and evidence concealment before allegedly killing two doctoral students (CBS News, 2026). Months earlier, Florida’s Attorney General launched a criminal investigation i…
Artificial intelligence (AI) is transforming how organizations manage and distribute knowledge. AI-powered systems can efficiently store, retrieve, summarize, and recommend information across organizations. While AI performs well in handling explicit knowledge, such as documents,…
Data bias is a recognized problem in research and data-driven decision-making. Existing treatments focus on how data was collected: sampling bias from non-representative selection, measurement bias from recording errors, annotation bias from inconsistent labeling, and omitted var…
Hierarchical component modelling (HCM) has become an indispensable analytical strategy in information systems (IS) research for representing multi-componential phenomena, such as technology readiness, organisational capability, user experience, and digital transformation. Despite…
This study examines the explosion of data-driven applications utilizing Artificial Intelligence and Machine Learning in recent years and the myriads of ethical issues that have arisen and continue to evolve. The review focuses on ethics and governance encompassing AI and the appl…
Appearing in the Harvard Business Review in 1958, the formal term "Information Technology" (IT) refers to the combination of hardware, software, services, and infrastructure that delivers data, voice, and video to domestic users. The concept of IT existed before 1958, but the inf…
Abstract Asynchronous online discussions (AODs) are central to graduate online education, yet online students' social presence perceptions decrease over time, and learners with weaker peer-interaction experience the sharpest declines (Castellanos-Reyes, Richardson, & Maeda, 2024;…
Advances in information technology drive digital transformation, enabling enterprises to automate and streamline operations. As foundational digital platforms, ERP systems integrate with core Industry 5.0 (I5.0) technologies—including AI and IoT (Wijesinghe et al., 2024; Sarferaz…
The rapid diffusion of generative AI into academic workflows has created a structural tension in scholarly publishing. On one side, AI offers genuine productivity gains — literature synthesis, writing assistance, code generation. On the other hand, it introduces systemic risks th…
In social welfare systems, agencies are often required to make policy decisions under conditions of uncertainty, limited resources, and significant human consequences. The current study aims to examine how AI-enabled policy simulation can support these policy decisions in the con…
Generative AI (GenAI) has reshaped higher education. Students increasingly rely on GenAI to understand course material, complete assignments, and prepare for exams; yet educators are concerned that uncritical reliance may bypass the deliberative problem-solving processes that tra…
Users routinely configure everyday privacy and security settings in file-sharing platforms and messaging apps. These frequent, low-visibility decisions increasingly rely on guidance from generative AI assistants alongside official help pages and peer advice. Although the informat…
Functionalist Perspective on Emotions in AI: A Review of Roles, Mechanisms and Impacts TREO Talk Paper Eun Hee Park Old Dominion University epark@odu.edu Mala Kaul University of Nevada, Reno mkaul@unr.edu Chad Anderson Miami University, Ohio ander556@miamioh.edu Abstract Recent a…
Generative and agentic AI is rapidly reshaping how knowledge workers think, learn, and produce — lifting productivity substantially, with the largest gains concentrated among novices and lower-skilled workers (Brynjolfsson et al., 2025). Yet the same dynamic raises a deeper quest…
Generative AI offers introductory programming students immediate support for debugging, syntax, code explanation, and algorithmic reasoning, but the same tools can also bypass the learning processes that instructors hope to cultivate. This TREO talk presents a mixed-methods learn…
Phishing remains one of the most prevalent and effective forms of social engineering attacks in today’s online environment. Attackers typically impersonate trusted individuals or organizations to deceive users and gain access to sensitive information. Recent studies (e.g., Dandot…
A pilot study examines whether iterated learning can optimize hand gestures used for controlling augmented reality software. There are many studies on improving the quality of gesture recognition, both static and dynamic, simple and sequential gestures; however, they are mainly f…
While Generative Artificial Intelligence (GenAI) has revolutionized the production of personalized, multimodal learning content, the "black box" of how specific AI design features orchestrate learners’ internal psychological states remains largely unexplored. This study investiga…
Generative AI has rapidly become embedded in universities, offering students immediate assistance across academic coursework. While these tools provide efficiency, accessibility, and convenience, they also raise growing concerns that students may increasingly rely on AI to genera…
Diagnostic AI models for breast imaging increasingly achieve strong predictive performance, yet clinical adoption remains limited when systems are perceived as opaque. This challenge, known as algorithmic aversion, is especially critical in oncology workflows where clinicians mus…
Human activity recognition (HAR) using sensor data allows the automatic detection of human behavior and actions in everyday environments. The development of scalable and privacy-preserving HAR systems is supported by the nonintrusive collection of time-series data using wearable…