generative ai

From Word-of-Mouth to Word-of-Machine: Examining AI-Generated Travel Recommendations Through the Word-of-Machine (WOMa) Perspective

Generative artificial intelligence (AI) is increasingly used in travel planning, yet limited research has examined how travelers evaluate AI-generated travel recommendations as an information source. This study examines travelers’ evaluations and behavioral intentions toward such recommendations, extending and contextu...

Public Repository for "Educational Evaluation Framework for Generative AI-Based Learning Systems"

Public repository for "Educational Evaluation Framework for Generative AI-Based Learning Systems"

After the Erosion of Symbolic Scarcity: A Political Economy of Aesthetic Symbols, Relational Anchoring, and Existential Encounter

Generative artificial intelligence is rapidly expanding the supply of aesthetically sophisticated images, prose, styles, atmospheres, and other symbolic forms. This development does not eliminate scarcity from aesthetic and cultural life, but it raises a political-economic question concerning where scarcity, differenti...

Designing a Human Oversight Framework for Generative AI in Computer Science Education

Generative AI (GenAI) tools have been adopted across all levels of computer science education, from K-12 through graduate study, offering learners opportunities to improve learning efficiency and support creative problem solving. However, this rapid adoption has outpaced critical evaluation: students demonstrate high a...

Between Co-Intelligence and Cognitive Offloading: Educators’ Perspectives from Dutch Academic Medical Settings on Generative AI, Critical Thinking, and Adult Professional Learning

How educators working in Dutch academic medical settings perceive GenAI’s implications for students’ critical thinking and how they believe it should be integrated into medical curricula is explored are explored.

A prime-square multiplier obstruction for Legendre pairs

A Legendre pair of odd length n consists of two cyclic sign sequences whose periodic autocorrelations sum to −2 at every nonzero shift; it yields a Hadamard matrix of order 2n + 2. Let p be an odd prime and q a positive integer, with n = p²q odd. For every offset c modulo n, neither sequence can be invariant under the...

DeepFake-BMA: Photorealistic AI-Generated Faces for Binary Detection and Multiclass Attribution

This dataset contains photorealistic, high-resolution AI-generated facial portraits created by the authors to support research in synthetic media forensics, deepfake detection, and generative source attribution. Existing synthetic face benchmarks focus heavily on legacy Generative Adversarial Networks (GANs) or early l...

Regulating generative AI in practice-based learning: a design-based study of cognitive offloading and experiential fabrication

Online appendices to the master's thesis "Applying Design Principles for Generative AI Applications in Qualitative Research: A Design-Based Evaluation of Effects on Control and Verifiability"

Medical Image Texture: Biological Phenotype or Technical Fingerprint? From Early Texture Analysis to Radiomics and Clinical Decision-Making

Gotowe do wklejenia w pole Description. Edytor Zenodo obsługuje formatowanie, więc pogrubienia i akapity przeniosą się poprawnie. Preprint of a narrative review. Medical images have long been interpreted using qualitative descriptors of spatial organization such as homogeneity, heterogeneity, coarseness, trabeculation,...

An explicit prescribed Legendre pair of length 117

A Legendre pair consists of two cyclic sign sequences whose periodic autocorrelations sum to −2 at every nonzero shift. An explicit pair of length 117 is constructed whose sums over equal residues modulo 13 are 1 at residue zero and respectively 3χ(r) and −3χ(r) elsewhere, where χ is the quadratic character modulo 13....

The Dynamic Organization of Sustained Human–AI Cognition: From Construct-Level Change to Relational Structure

As generative artificial intelligence becomes a routine participant in writing, learning, information retrieval, analysis, decision making, and problem solving, human–AI cognition research must address not only whether AI changes psychological constructs, use intensity, or task performance, but also how human cognitive...